Stats2 Midterm Project
Project investigating WHO dataset for Stats2 Class
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Applied Stats Project
Catherine Ticzon, Aaron Abromowitz, Adam Ercanbak
2024-02-11
This document contains the code for the analyses used in Project 1.
I. EDA and Assumption Checking
LEdata <- imp
LEdata_clean <- LEdata
# Traditional lm with categorical variables
LE_lm_model <- lm(Life.expectancy~Adult.Mortality + infant.deaths+ Alcohol+ percentage.expenditure+
Hepatitis.B.x+ Measles+ BMI + under.five.deaths+ Polio+ Total.expenditure+
Diphtheria+ HIV.AIDS+ Population.x+ thinness..1.19.years+ thinness.5.9.years+
Income.composition.of.resources+ Schooling+ GDP +region +Status +sub.region, data=LEdata_clean)
# str(LE_lm_model) # just for checking for errors
cat("\n\n------------Catagorical LM-------------------\n\n")
##
##
## ------------Catagorical LM-------------------
summary(LE_lm_model)
##
## Call:
## lm(formula = Life.expectancy ~ Adult.Mortality + infant.deaths +
## Alcohol + percentage.expenditure + Hepatitis.B.x + Measles +
## BMI + under.five.deaths + Polio + Total.expenditure + Diphtheria +
## HIV.AIDS + Population.x + thinness..1.19.years + thinness.5.9.years +
## Income.composition.of.resources + Schooling + GDP + region +
## Status + sub.region, data = LEdata_clean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -23.249 -2.030 -0.079 1.848 13.277
##
## Coefficients: (4 not defined because of singularities)
## Estimate Std. Error t value
## (Intercept) 5.541e+01 6.142e-01 90.222
## Adult.Mortality -1.337e-02 7.350e-04 -18.188
## infant.deaths 4.691e-02 7.856e-03 5.972
## Alcohol 1.152e-02 2.711e-02 0.425
## percentage.expenditure 2.348e-04 4.257e-05 5.515
## Hepatitis.B.x -7.817e-03 3.475e-03 -2.249
## Measles -1.752e-05 6.915e-06 -2.533
## BMI 1.735e-02 5.106e-03 3.398
## under.five.deaths -3.679e-02 5.736e-03 -6.413
## Polio 2.865e-02 3.950e-03 7.252
## Total.expenditure -1.494e-03 3.253e-02 -0.046
## Diphtheria 3.021e-02 4.173e-03 7.238
## HIV.AIDS -3.600e-01 1.636e-02 -22.003
## Population.x 1.036e-10 1.494e-09 0.069
## thinness..1.19.years -3.440e-02 4.540e-02 -0.758
## thinness.5.9.years -5.901e-02 4.575e-02 -1.290
## Income.composition.of.resources 4.426e+00 5.712e-01 7.748
## Schooling 5.498e-01 3.846e-02 14.297
## GDP 2.618e-07 7.735e-08 3.385
## regionAmericas 6.722e+00 9.220e-01 7.291
## regionAsia 6.603e+00 3.354e-01 19.689
## regionEurope 7.159e+00 5.481e-01 13.062
## regionOceania 5.985e+00 7.915e-01 7.562
## StatusDeveloping -2.046e+00 2.916e-01 -7.016
## sub.regionCentral Asia -4.467e+00 4.751e-01 -9.402
## sub.regionEastern Asia -2.023e-01 5.146e-01 -0.393
## sub.regionEastern Europe -3.729e+00 5.020e-01 -7.427
## sub.regionLatin America and the Caribbean -1.036e-01 8.805e-01 -0.118
## sub.regionMelanesia -2.106e+00 8.678e-01 -2.428
## sub.regionMicronesia -3.691e+00 9.590e-01 -3.848
## sub.regionNorthern Africa 5.063e+00 4.388e-01 11.539
## sub.regionNorthern America NA NA NA
## sub.regionNorthern Europe -1.166e+00 4.655e-01 -2.505
## sub.regionPolynesia 6.549e-01 9.456e-01 0.693
## sub.regionSouth-eastern Asia -1.010e+00 3.917e-01 -2.577
## sub.regionSouthern Asia -3.442e-01 4.964e-01 -0.693
## sub.regionSouthern Europe 3.805e-01 4.791e-01 0.794
## sub.regionSub-Saharan Africa NA NA NA
## sub.regionWestern Asia NA NA NA
## sub.regionWestern Europe NA NA NA
## Pr(>|t|)
## (Intercept) < 2e-16 ***
## Adult.Mortality < 2e-16 ***
## infant.deaths 2.63e-09 ***
## Alcohol 0.670969
## percentage.expenditure 3.80e-08 ***
## Hepatitis.B.x 0.024563 *
## Measles 0.011354 *
## BMI 0.000687 ***
## under.five.deaths 1.66e-10 ***
## Polio 5.26e-13 ***
## Total.expenditure 0.963367
## Diphtheria 5.80e-13 ***
## HIV.AIDS < 2e-16 ***
## Population.x 0.944750
## thinness..1.19.years 0.448796
## thinness.5.9.years 0.197240
## Income.composition.of.resources 1.28e-14 ***
## Schooling < 2e-16 ***
## GDP 0.000721 ***
## regionAmericas 3.95e-13 ***
## regionAsia < 2e-16 ***
## regionEurope < 2e-16 ***
## regionOceania 5.28e-14 ***
## StatusDeveloping 2.84e-12 ***
## sub.regionCentral Asia < 2e-16 ***
## sub.regionEastern Asia 0.694268
## sub.regionEastern Europe 1.45e-13 ***
## sub.regionLatin America and the Caribbean 0.906371
## sub.regionMelanesia 0.015263 *
## sub.regionMicronesia 0.000121 ***
## sub.regionNorthern Africa < 2e-16 ***
## sub.regionNorthern America NA
## sub.regionNorthern Europe 0.012308 *
## sub.regionPolynesia 0.488615
## sub.regionSouth-eastern Asia 0.010008 *
## sub.regionSouthern Asia 0.488088
## sub.regionSouthern Europe 0.427201
## sub.regionSub-Saharan Africa NA
## sub.regionWestern Asia NA
## sub.regionWestern Europe NA
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.557 on 2902 degrees of freedom
## Multiple R-squared: 0.8617, Adjusted R-squared: 0.8601
## F-statistic: 516.8 on 35 and 2902 DF, p-value: < 2.2e-16
cat("\n\n------------Continuous LM-------------------\n\n")
##
##
## ------------Continuous LM-------------------
# lm model with only continuous variables
LE_LM_Continuous_Model <- lm(Life_Expectancy~ Adult.Mortality + infant.deaths+ Alcohol+ percentage.expenditure+
Hepatitis.B.x+ Measles+ BMI + under.five.deaths+ Polio+ Total.expenditure+
Diphtheria+ HIV.AIDS+ Population.x+ thinness..1.19.years+ thinness.5.9.years+
Income.composition.of.resources+ Schooling+ GDP, data=LEdata_clean)
summary(LE_LM_Continuous_Model)
##
## Call:
## lm(formula = Life_Expectancy ~ Adult.Mortality + infant.deaths +
## Alcohol + percentage.expenditure + Hepatitis.B.x + Measles +
## BMI + under.five.deaths + Polio + Total.expenditure + Diphtheria +
## HIV.AIDS + Population.x + thinness..1.19.years + thinness.5.9.years +
## Income.composition.of.resources + Schooling + GDP, data = LEdata_clean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -21.8895 -2.1004 0.0066 2.3128 17.1039
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.390e+01 5.868e-01 91.863 < 2e-16 ***
## Adult.Mortality -1.988e-02 8.168e-04 -24.343 < 2e-16 ***
## infant.deaths 9.406e-02 8.771e-03 10.725 < 2e-16 ***
## Alcohol 8.682e-02 2.481e-02 3.499 0.000474 ***
## percentage.expenditure 3.363e-04 4.352e-05 7.728 1.50e-14 ***
## Hepatitis.B.x -9.601e-03 3.938e-03 -2.438 0.014816 *
## Measles -2.251e-05 7.937e-06 -2.836 0.004607 **
## BMI 4.845e-02 5.069e-03 9.559 < 2e-16 ***
## under.five.deaths -7.062e-02 6.423e-03 -10.996 < 2e-16 ***
## Polio 2.914e-02 4.604e-03 6.329 2.84e-10 ***
## Total.expenditure 2.888e-02 3.560e-02 0.811 0.417213
## Diphtheria 3.925e-02 4.836e-03 8.117 6.97e-16 ***
## HIV.AIDS -4.944e-01 1.813e-02 -27.265 < 2e-16 ***
## Population.x -5.198e-11 1.743e-09 -0.030 0.976211
## thinness..1.19.years -1.471e-01 5.198e-02 -2.830 0.004694 **
## thinness.5.9.years 6.562e-02 5.126e-02 1.280 0.200607
## Income.composition.of.resources 5.942e+00 6.466e-01 9.191 < 2e-16 ***
## Schooling 7.077e-01 4.293e-02 16.484 < 2e-16 ***
## GDP 3.973e-07 6.600e-08 6.020 1.97e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.183 on 2919 degrees of freedom
## Multiple R-squared: 0.8143, Adjusted R-squared: 0.8132
## F-statistic: 711.2 on 18 and 2919 DF, p-value: < 2.2e-16
a. Assumption 1: Normality
# 1. Check for normality and Outliers on categorical and continuous models.
# Findings the categorical model has major leftskewedness and outliers - normality assumption not met.
# Findings the continuous model has slight leftskewedness, some pull on the tails from the qq plot and several outliers with influece - normality assumption mostly met.
# Traditional lm with categorical variables
plot(LE_lm_model,2, main="QQ Plot with Categorical Variables")
hist(LE_lm_model$residuals, main="Histogram of Categorical Residuals")
# add a qq-plot with normal distribution and range lines to the Continuous model.
qqPlot(LE_LM_Continuous_Model, main="QQ Plot with Continuous Variables", distribution="norm", id=F) #qq normal plot for studentized resid
hist(LE_LM_Continuous_Model$residuals, main="Histogram of Continuous Residuals")
b. Assumption 2: Check for Homoscedasticity
There appear to be some variance issues with both models - the line is at or above 1 rather than zero. This could be the impact from the outliers.
# Traditional lm with categorical variables
plot(LE_lm_model, 3: 5)
# Influence Plot and list of top influencers - Catagorical
influencePlot(LE_lm_model, id=list(method="noteworthy", n=5, cex=2, col=carPalette()[1], location="lr"),
main="Influence Plot", sub="Circle area is proportial to Cook's Distance - Categorical" )
## StudRes Hat CookD
## 671 -6.6407804 0.016970901 0.0208387490
## 944 2.6763252 0.058143691 0.0122566537
## 1267 2.6845712 0.061714451 0.0131392724
## 1453 2.1604093 0.137851537 0.0207038280
## 1498 0.7048261 0.156565506 0.0025620138
## 1511 0.1306279 0.158930771 0.0000895968
## 1518 0.3629647 0.168475190 0.0007416807
## 1582 -0.1179110 0.229605059 0.0001151388
## 1814 -3.8303520 0.014205231 0.0058451471
## 1830 0.9675572 0.171467986 0.0053818807
## 1944 -5.2665409 0.008157817 0.0062790927
## 2035 -4.7750231 0.008544289 0.0054175219
## 2150 -4.2356586 0.006391597 0.0031871732
## 2186 3.0882017 0.046579166 0.0129044700
cat("\n\n--------Non-Constant Error Variance Test Categorical----------\n\n")
##
##
## --------Non-Constant Error Variance Test Categorical----------
# Non-Constant Error Variance Test
# The null hypothesis for the Non-Constant Error Variance Test is that the error variance is constant across all levels of the fitted values.
# The alternative hypothesis is that the error variance is not constant.
# if models' p-values is more than 0.05 then we would reject the null.
ncvTest(LE_lm_model)
## Non-constant Variance Score Test
## Variance formula: ~ fitted.values
## Chisquare = 198.5155, Df = 1, p = < 2.22e-16
# Traditional lm with continuous variables
plot(LE_LM_Continuous_Model, 3)
# Influence Plot and list of top influencers - Continuous
influencePlot(LE_LM_Continuous_Model, id=list(method="noteworthy", n=5, cex=.75, col=carPalette()[1], location="lr"),
main="Influence Plot", sub="Circle area is proportial to Cook's Distance - Continuous" )
## StudRes Hat CookD
## 1453 2.77278100 0.135002897 6.301037e-02
## 1475 -4.33371298 0.050536685 5.229471e-02
## 1498 0.69370277 0.154293944 4.621680e-03
## 1511 -0.09482661 0.156983177 8.815992e-05
## 1518 0.25836238 0.166147287 7.002413e-04
## 1582 -0.64545089 0.224956091 6.365479e-03
## 1830 1.71161758 0.167307320 3.096015e-02
## 1848 3.08899076 0.032832584 1.699863e-02
## 1894 -4.39228905 0.009554136 9.733653e-03
## 1944 -5.27284464 0.006103925 8.905021e-03
## 2035 -4.86199618 0.006443139 8.006175e-03
## 2150 -4.89243135 0.004942632 6.208789e-03
## 2186 3.08120729 0.044670203 2.329651e-02
cat("\n\n--------Non-Constant Error Variance Test Continuous----------\n\n")
##
##
## --------Non-Constant Error Variance Test Continuous----------
# Non-Constant Error Variance Test
# The null hypothesis for the Non-Constant Error Variance Test is that the error variance is constant across all levels of the fitted values.
# The alternative hypothesis is that the error variance is not constant.
# if models' p-values is more than 0.05 then we would reject the null.
ncvTest(LE_LM_Continuous_Model)
## Non-constant Variance Score Test
## Variance formula: ~ fitted.values
## Chisquare = 323.6811, Df = 1, p = < 2.22e-16
Assumption 3: Check for Linear Relationship
- The categorical model is mostly spread evenly along zero, with some outlier pull in the middle - Linear assumption mostly met.
- The continuous model has more clumping to the right and outliers are pulling the residual upward on the left - Linear assumption not met.
# Traditional lm with categorical variables
plot(LE_lm_model, 1)
# Traditional lm with continuous variables
plot(LE_LM_Continuous_Model, 1)
Assumption 4: Check for Independence
- The independence assumption is met on both models as they draw closer to 2 on the Durbin-Watson test.
# install.packages("lmtest")
library(lmtest)
## Loading required package: zoo
##
## Attaching package: 'zoo'
## The following objects are masked from 'package:base':
##
## as.Date, as.Date.numeric
# Durbin-Watsom Test
# The Durbin-Watson test values range between 0 and 4.
# DW close to 0 or 4: Strong evidence of autocorrelation, implying a lack of independence
# DW close to 2 (between 1.5 and 2.5): No evidence of autocorrelation (desired result- independence).
dwtest(LE_lm_model)
##
## Durbin-Watson test
##
## data: LE_lm_model
## DW = 2.0274, p-value = 0.7733
## alternative hypothesis: true autocorrelation is greater than 0
# Continuous evaluation
dwtest(LE_LM_Continuous_Model)
##
## Durbin-Watson test
##
## data: LE_LM_Continuous_Model
## DW = 1.7731, p-value = 2.711e-10
## alternative hypothesis: true autocorrelation is greater than 0
Assumption 5: Check for Multicollinearity and identify variables to remove.
For multicollinearity there are several columns that expressed problems Extreme: (thinness..1.19years: thinness.5.9.years, infant.deaths : under.five.deaths), Moderate: (schooling: Income.composition.of.resources, diphtheria:polio, infant.deaths: population, Adult.Mortality: HIV.AIDS, BMI: thinness..1.19year, BMI: thinness.5.9.years)
# All continuous variables
LE_Continuous <- c("Adult.Mortality", "infant.deaths", "Alcohol", "percentage.expenditure",
"Hepatitis.B.x", "Measles", "BMI", "under.five.deaths", "Polio", "Total.expenditure",
"Diphtheria", "HIV.AIDS", "Population.x", "thinness..1.19.years", "thinness.5.9.years",
"Income.composition.of.resources", "Schooling", "GDP")
# Use a correlation matrix to view multicollinearity.
model_corr_matrix <- cor(LEdata_clean %>%
dplyr::select(LE_Continuous),
use = "pairwise.complete.obs")
## Warning: Using an external vector in selections was deprecated in tidyselect 1.1.0.
## ℹ Please use `all_of()` or `any_of()` instead.
## # Was:
## data %>% select(LE_Continuous)
##
## # Now:
## data %>% select(all_of(LE_Continuous))
##
## See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
cat("\n\n----------------Correlation Check--------------\n\n")
##
##
## ----------------Correlation Check--------------
model_corr_matrix
## Adult.Mortality infant.deaths Alcohol
## Adult.Mortality 1.00000000 0.07889001 -0.19019083
## infant.deaths 0.07889001 1.00000000 -0.11291781
## Alcohol -0.19019083 -0.11291781 1.00000000
## percentage.expenditure -0.24262798 -0.08561222 0.34441022
## Hepatitis.B.x -0.15467558 -0.17794035 0.10140719
## Measles 0.03129296 0.50112834 -0.04975234
## BMI -0.37909212 -0.22679646 0.31302227
## under.five.deaths 0.09428011 0.99662888 -0.10978973
## Polio -0.27000169 -0.17089558 0.21174450
## Total.expenditure -0.11179586 -0.12626835 0.29615293
## Diphtheria -0.27030071 -0.17537621 0.21238786
## HIV.AIDS 0.52388650 0.02523132 -0.04623455
## Population.x -0.01015622 0.55052802 -0.02955178
## thinness..1.19.years 0.29613500 0.46481096 -0.41302086
## thinness.5.9.years 0.30163425 0.47044500 -0.40203440
## Income.composition.of.resources -0.43633240 -0.14157131 0.41837157
## Schooling -0.43341464 -0.19095097 0.49889851
## GDP -0.15949393 0.07079752 0.18218962
## percentage.expenditure Hepatitis.B.x
## Adult.Mortality -0.24262798 -0.15467558
## infant.deaths -0.08561222 -0.17794035
## Alcohol 0.34441022 0.10140719
## percentage.expenditure 1.00000000 0.04548572
## Hepatitis.B.x 0.04548572 1.00000000
## Measles -0.05659568 -0.09093754
## BMI 0.22740758 0.14663347
## under.five.deaths -0.08785231 -0.18368461
## Polio 0.14614776 0.41170578
## Total.expenditure 0.17555881 0.06933669
## Diphtheria 0.14250591 0.49960641
## HIV.AIDS -0.09785682 -0.11299230
## Population.x -0.01835377 -0.11654676
## thinness..1.19.years -0.24961019 -0.11765405
## thinness.5.9.years -0.25114429 -0.11883279
## Income.composition.of.resources 0.37473022 0.16613785
## Schooling 0.38607573 0.19114516
## GDP 0.10221429 0.02210482
## Measles BMI under.five.deaths
## Adult.Mortality 0.03129296 -0.37909212 0.09428011
## infant.deaths 0.50112834 -0.22679646 0.99662888
## Alcohol -0.04975234 0.31302227 -0.10978973
## percentage.expenditure -0.05659568 0.22740758 -0.08785231
## Hepatitis.B.x -0.09093754 0.14663347 -0.18368461
## Measles 1.00000000 -0.17606936 0.50780871
## BMI -0.17606936 1.00000000 -0.23704827
## under.five.deaths 0.50780871 -0.23704827 1.00000000
## Polio -0.13666917 0.28125992 -0.18886429
## Total.expenditure -0.10413268 0.23074457 -0.12796012
## Diphtheria -0.14238452 0.28026675 -0.19580754
## HIV.AIDS 0.03089872 -0.24338267 0.03806151
## Population.x 0.23595712 -0.06463154 0.53800963
## thinness..1.19.years 0.22487023 -0.53248692 0.46669740
## thinness.5.9.years 0.22113785 -0.53936520 0.47116670
## Income.composition.of.resources -0.11108881 0.47194664 -0.15926351
## Schooling -0.12079866 0.49980620 -0.20624211
## GDP 0.09565526 0.10821227 0.05919444
## Polio Total.expenditure Diphtheria
## Adult.Mortality -0.27000169 -0.1117958609 -0.27030071
## infant.deaths -0.17089558 -0.1262683518 -0.17537621
## Alcohol 0.21174450 0.2961529312 0.21238786
## percentage.expenditure 0.14614776 0.1755588126 0.14250591
## Hepatitis.B.x 0.41170578 0.0693366945 0.49960641
## Measles -0.13666917 -0.1041326835 -0.14238452
## BMI 0.28125992 0.2307445681 0.28026675
## under.five.deaths -0.18886429 -0.1279601236 -0.19580754
## Polio 1.00000000 0.1310370162 0.67397675
## Total.expenditure 0.13103702 1.0000000000 0.14648519
## Diphtheria 0.67397675 0.1464851853 1.00000000
## HIV.AIDS -0.15912822 -0.0002889619 -0.16441869
## Population.x -0.04183594 -0.0601367280 -0.03098282
## thinness..1.19.years -0.21840103 -0.2675716002 -0.22640919
## thinness.5.9.years -0.21916766 -0.2740688935 -0.21969880
## Income.composition.of.resources 0.34517224 0.1543279755 0.35937863
## Schooling 0.37583000 0.2201697825 0.37906158
## GDP 0.08204999 0.2671916765 0.10988296
## HIV.AIDS Population.x thinness..1.19.years
## Adult.Mortality 0.5238864994 -0.01015622 0.2961350
## infant.deaths 0.0252313184 0.55052802 0.4648110
## Alcohol -0.0462345507 -0.02955178 -0.4130209
## percentage.expenditure -0.0978568189 -0.01835377 -0.2496102
## Hepatitis.B.x -0.1129922969 -0.11654676 -0.1176541
## Measles 0.0308987179 0.23595712 0.2248702
## BMI -0.2433826661 -0.06463154 -0.5324869
## under.five.deaths 0.0380615124 0.53800963 0.4666974
## Polio -0.1591282179 -0.04183594 -0.2184010
## Total.expenditure -0.0002889619 -0.06013673 -0.2675716
## Diphtheria -0.1644186859 -0.03098282 -0.2264092
## HIV.AIDS 1.0000000000 -0.02039745 0.2036835
## Population.x -0.0203974538 1.00000000 0.2374199
## thinness..1.19.years 0.2036835459 0.23741992 1.0000000
## thinness.5.9.years 0.2068987828 0.23618980 0.9391874
## Income.composition.of.resources -0.2478230175 -0.01167006 -0.4014368
## Schooling -0.2188224028 -0.03320186 -0.4371265
## GDP -0.0712400367 0.06665853 -0.1287759
## thinness.5.9.years
## Adult.Mortality 0.3016343
## infant.deaths 0.4704450
## Alcohol -0.4020344
## percentage.expenditure -0.2511443
## Hepatitis.B.x -0.1188328
## Measles 0.2211378
## BMI -0.5393652
## under.five.deaths 0.4711667
## Polio -0.2191677
## Total.expenditure -0.2740689
## Diphtheria -0.2196988
## HIV.AIDS 0.2068988
## Population.x 0.2361898
## thinness..1.19.years 0.9391874
## thinness.5.9.years 1.0000000
## Income.composition.of.resources -0.3909610
## Schooling -0.4269247
## GDP -0.1327294
## Income.composition.of.resources Schooling
## Adult.Mortality -0.43633240 -0.43341464
## infant.deaths -0.14157131 -0.19095097
## Alcohol 0.41837157 0.49889851
## percentage.expenditure 0.37473022 0.38607573
## Hepatitis.B.x 0.16613785 0.19114516
## Measles -0.11108881 -0.12079866
## BMI 0.47194664 0.49980620
## under.five.deaths -0.15926351 -0.20624211
## Polio 0.34517224 0.37583000
## Total.expenditure 0.15432798 0.22016978
## Diphtheria 0.35937863 0.37906158
## HIV.AIDS -0.24782302 -0.21882240
## Population.x -0.01167006 -0.03320186
## thinness..1.19.years -0.40143678 -0.43712646
## thinness.5.9.years -0.39096105 -0.42692466
## Income.composition.of.resources 1.00000000 0.79538328
## Schooling 0.79538328 1.00000000
## GDP 0.15151200 0.13455703
## GDP
## Adult.Mortality -0.15949393
## infant.deaths 0.07079752
## Alcohol 0.18218962
## percentage.expenditure 0.10221429
## Hepatitis.B.x 0.02210482
## Measles 0.09565526
## BMI 0.10821227
## under.five.deaths 0.05919444
## Polio 0.08204999
## Total.expenditure 0.26719168
## Diphtheria 0.10988296
## HIV.AIDS -0.07124004
## Population.x 0.06665853
## thinness..1.19.years -0.12877589
## thinness.5.9.years -0.13272945
## Income.composition.of.resources 0.15151200
## Schooling 0.13455703
## GDP 1.00000000
corrplot::corrplot(model_corr_matrix)
# VIF test
# A value of 1 indicates there is no correlation.
# A value between 1 and 5 indicates moderate correlation.
# A value greater than 5 indicates potentially severe correlation.
cat("\n\n-------------------VIF Check-----------------\n\n")
##
##
## -------------------VIF Check-----------------
car::vif(LE_LM_Continuous_Model)
## Adult.Mortality infant.deaths
## 1.724250 179.553609
## Alcohol percentage.expenditure
## 1.589452 1.256441
## Hepatitis.B.x Measles
## 1.387214 1.390353
## BMI under.five.deaths
## 1.713862 178.231372
## Polio Total.expenditure
## 1.942483 1.225708
## Diphtheria HIV.AIDS
## 2.196238 1.422850
## Population.x thinness..1.19.years
## 1.487351 8.770415
## thinness.5.9.years Income.composition.of.resources
## 8.874324 2.952591
## Schooling GDP
## 3.298153 1.163377
II. Model 1: Linear-Log
Addressing Objective 1: Create an interpretable, linear model
# ==== Investigating multi-collinearity and VIF ====
train.vars <- c("Adult.Mortality", "infant.deaths", "Alcohol", "percentage.expenditure",
"Hepatitis.B.x", "Measles", "BMI", "under.five.deaths", "Polio", "Total.expenditure",
"Diphtheria", "HIV.AIDS", "Population.x", "thinness..1.19.years", "thinness.5.9.years",
"Income.composition.of.resources", "Schooling", "GDP")
# Correlation matrix
# values where correlation coefficient are close to | 1 | = potential multicollinearity issue
c.matrix2 <- cor(train[, train.vars])
print(c.matrix2)# a lot of NAs generated in the matrix when missing data are included
## Adult.Mortality infant.deaths Alcohol
## Adult.Mortality 1.00000000 0.08931639 -0.19644394
## infant.deaths 0.08931639 1.00000000 -0.10990718
## Alcohol -0.19644394 -0.10990718 1.00000000
## percentage.expenditure -0.24566204 -0.08470246 0.34766268
## Hepatitis.B.x -0.16290031 -0.17570368 0.09441639
## Measles 0.03155163 0.49977009 -0.03591524
## BMI -0.37810807 -0.22402849 0.30129689
## under.five.deaths 0.10502338 0.99640578 -0.10647263
## Polio -0.28642682 -0.18043238 0.20727157
## Total.expenditure -0.11161396 -0.12258980 0.30007344
## Diphtheria -0.28047160 -0.19050325 0.21180681
## HIV.AIDS 0.50361071 0.03207764 -0.04349591
## Population.x -0.01565238 0.54505425 -0.02659177
## thinness..1.19.years 0.29568083 0.45628755 -0.40775880
## thinness.5.9.years 0.30815149 0.46258663 -0.39501441
## Income.composition.of.resources -0.43838399 -0.14326874 0.42309106
## Schooling -0.44351413 -0.19231072 0.49850930
## GDP -0.15946215 0.07292285 0.18492817
## percentage.expenditure Hepatitis.B.x
## Adult.Mortality -0.24566204 -0.162900313
## infant.deaths -0.08470246 -0.175703675
## Alcohol 0.34766268 0.094416386
## percentage.expenditure 1.00000000 0.029979502
## Hepatitis.B.x 0.02997950 1.000000000
## Measles -0.05056382 -0.084517069
## BMI 0.21717682 0.156727556
## under.five.deaths -0.08686117 -0.182485981
## Polio 0.15254757 0.403630840
## Total.expenditure 0.16776787 0.069672698
## Diphtheria 0.14822323 0.480845055
## HIV.AIDS -0.09741329 -0.125142398
## Population.x -0.01711196 -0.113503831
## thinness..1.19.years -0.24977255 -0.103872434
## thinness.5.9.years -0.25163551 -0.108607747
## Income.composition.of.resources 0.37396421 0.179192624
## Schooling 0.38500710 0.192997457
## GDP 0.12115913 0.009439924
## Measles BMI under.five.deaths
## Adult.Mortality 0.03155163 -0.37810807 0.10502338
## infant.deaths 0.49977009 -0.22402849 0.99640578
## Alcohol -0.03591524 0.30129689 -0.10647263
## percentage.expenditure -0.05056382 0.21717682 -0.08686117
## Hepatitis.B.x -0.08451707 0.15672756 -0.18248598
## Measles 1.00000000 -0.16352443 0.51028111
## BMI -0.16352443 1.00000000 -0.23398617
## under.five.deaths 0.51028111 -0.23398617 1.00000000
## Polio -0.13916323 0.28565829 -0.19769877
## Total.expenditure -0.10000204 0.20774297 -0.12404368
## Diphtheria -0.15024807 0.28279182 -0.21130972
## HIV.AIDS 0.03412178 -0.24698761 0.04475532
## Population.x 0.24908897 -0.06617877 0.52993443
## thinness..1.19.years 0.22864980 -0.53261751 0.45777583
## thinness.5.9.years 0.22414357 -0.54029663 0.46311365
## Income.composition.of.resources -0.11177009 0.46105465 -0.16101601
## Schooling -0.11269501 0.50471654 -0.20801284
## GDP 0.09390615 0.09188121 0.06090355
## Polio Total.expenditure Diphtheria
## Adult.Mortality -0.28642682 -0.111613957 -0.28047160
## infant.deaths -0.18043238 -0.122589804 -0.19050325
## Alcohol 0.20727157 0.300073442 0.21180681
## percentage.expenditure 0.15254757 0.167767867 0.14822323
## Hepatitis.B.x 0.40363084 0.069672698 0.48084506
## Measles -0.13916323 -0.100002035 -0.15024807
## BMI 0.28565829 0.207742968 0.28279182
## under.five.deaths -0.19769877 -0.124043683 -0.21130972
## Polio 1.00000000 0.130635018 0.66813922
## Total.expenditure 0.13063502 1.000000000 0.14787500
## Diphtheria 0.66813922 0.147874999 1.00000000
## HIV.AIDS -0.16414473 0.007105782 -0.16763722
## Population.x -0.04572226 -0.062410076 -0.03467126
## thinness..1.19.years -0.22256434 -0.254645064 -0.23156715
## thinness.5.9.years -0.22748291 -0.256993623 -0.22809748
## Income.composition.of.resources 0.35314342 0.146581119 0.38283263
## Schooling 0.37867287 0.227680476 0.39195599
## GDP 0.07657847 0.211399636 0.11013244
## HIV.AIDS Population.x thinness..1.19.years
## Adult.Mortality 0.503610712 -0.01565238 0.2956808
## infant.deaths 0.032077637 0.54505425 0.4562876
## Alcohol -0.043495909 -0.02659177 -0.4077588
## percentage.expenditure -0.097413293 -0.01711196 -0.2497726
## Hepatitis.B.x -0.125142398 -0.11350383 -0.1038724
## Measles 0.034121780 0.24908897 0.2286498
## BMI -0.246987606 -0.06617877 -0.5326175
## under.five.deaths 0.044755319 0.52993443 0.4577758
## Polio -0.164144729 -0.04572226 -0.2225643
## Total.expenditure 0.007105782 -0.06241008 -0.2546451
## Diphtheria -0.167637225 -0.03467126 -0.2315671
## HIV.AIDS 1.000000000 -0.02056502 0.2092215
## Population.x -0.020565025 1.00000000 0.2374315
## thinness..1.19.years 0.209221503 0.23743152 1.0000000
## thinness.5.9.years 0.218872221 0.23575044 0.9353567
## Income.composition.of.resources -0.244746111 -0.01314861 -0.3959858
## Schooling -0.221209871 -0.03641006 -0.4362241
## GDP -0.072952121 0.07079349 -0.1290815
## thinness.5.9.years
## Adult.Mortality 0.3081515
## infant.deaths 0.4625866
## Alcohol -0.3950144
## percentage.expenditure -0.2516355
## Hepatitis.B.x -0.1086077
## Measles 0.2241436
## BMI -0.5402966
## under.five.deaths 0.4631136
## Polio -0.2274829
## Total.expenditure -0.2569936
## Diphtheria -0.2280975
## HIV.AIDS 0.2188722
## Population.x 0.2357504
## thinness..1.19.years 0.9353567
## thinness.5.9.years 1.0000000
## Income.composition.of.resources -0.3863821
## Schooling -0.4253134
## GDP -0.1332150
## Income.composition.of.resources Schooling
## Adult.Mortality -0.43838399 -0.44351413
## infant.deaths -0.14326874 -0.19231072
## Alcohol 0.42309106 0.49850930
## percentage.expenditure 0.37396421 0.38500710
## Hepatitis.B.x 0.17919262 0.19299746
## Measles -0.11177009 -0.11269501
## BMI 0.46105465 0.50471654
## under.five.deaths -0.16101601 -0.20801284
## Polio 0.35314342 0.37867287
## Total.expenditure 0.14658112 0.22768048
## Diphtheria 0.38283263 0.39195599
## HIV.AIDS -0.24474611 -0.22120987
## Population.x -0.01314861 -0.03641006
## thinness..1.19.years -0.39598579 -0.43622407
## thinness.5.9.years -0.38638209 -0.42531338
## Income.composition.of.resources 1.00000000 0.80278770
## Schooling 0.80278770 1.00000000
## GDP 0.16665186 0.15098742
## GDP
## Adult.Mortality -0.159462154
## infant.deaths 0.072922851
## Alcohol 0.184928173
## percentage.expenditure 0.121159129
## Hepatitis.B.x 0.009439924
## Measles 0.093906146
## BMI 0.091881212
## under.five.deaths 0.060903554
## Polio 0.076578467
## Total.expenditure 0.211399636
## Diphtheria 0.110132443
## HIV.AIDS -0.072952121
## Population.x 0.070793486
## thinness..1.19.years -0.129081488
## thinness.5.9.years -0.133215043
## Income.composition.of.resources 0.166651855
## Schooling 0.150987416
## GDP 1.000000000
# Variance Inflation Factor (VIF)
vif_values2 <- car::vif(lm(train[, train.vars]))
print(vif_values2)
## infant.deaths Alcohol
## 170.275662 1.589582
## percentage.expenditure Hepatitis.B.x
## 1.250256 1.359742
## Measles BMI
## 1.399924 1.690924
## under.five.deaths Polio
## 169.453044 1.910421
## Total.expenditure Diphtheria
## 1.193181 2.156227
## HIV.AIDS Population.x
## 1.145597 1.488129
## thinness..1.19.years thinness.5.9.years
## 8.279084 8.381992
## Income.composition.of.resources Schooling
## 3.023719 3.396935
## GDP
## 1.134933
# ====== Creating Log transformed variables in `train` data =====
train2 <- train # `train2` dataset will have log variables
train2$lLife.expectancy <- log(train2$Life.expectancy)
train2$lAdult.Mortality <- log(train2$Adult.Mortality)
train2$linfant.deaths <- log(train2$infant.deaths)
train2$lAlcohol <- log(train2$Alcohol)
train2$lpercentage.expenditure <- log(train2$percentage.expenditure)
train2$lHepatitis.B <- log(train2$Hepatitis.B.x)
train2$lMeasles <- log(train2$Measles)
train2$lBMI <- log(train2$BMI)
train2$lunder.five.deaths <- log(train2$under.five.deaths)
train2$lPolio <- log(train2$Polio)
train2$lTotal.expenditure <- log(train2$Total.expenditure)
train2$lDiphtheria <- log(train2$Diphtheria)
train2$lHIV.AIDS <- log(train2$HIV.AIDS)
train2$lGDP <- log(train2$GDP)
train2$lPopulation <- log(train2$Population.x)
train2$lthinness..1.19.years <- log(train2$thinness..1.19.years)
train2$lthinness.5.9.years <- log(train2$thinness.5.9.years)
train2$lIncome.composition.of.resources <- log(train2$Income.composition.of.resources)
train2$lSchooling <- log(train2$Schooling)
# replace `Inf` (generated from log transformation) values with 0
repl2 <- function(column) {
column[column == -Inf] <- 0
return(column)
}
numeric_columns2 <- sapply(train2, is.numeric)
train2[numeric_columns2] <- lapply(train2[numeric_columns2], repl2)
# ==== Model Building ====
# = Linear model =
# `train.model3` includes the un-transformed continuous predictor variables with low VIF
train.model3 <- lm(Life.expectancy ~ Alcohol + Measles + Population.x + HIV.AIDS + BMI + Adult.Mortality + Polio + Diphtheria + Income.composition.of.resources + Schooling + GDP,
data = train2)
summary(train.model3) # all variables significant
##
## Call:
## lm(formula = Life.expectancy ~ Alcohol + Measles + Population.x +
## HIV.AIDS + BMI + Adult.Mortality + Polio + Diphtheria + Income.composition.of.resources +
## Schooling + GDP, data = train2)
##
## Residuals:
## Min 1Q Median 3Q Max
## -22.3748 -2.1301 0.0636 2.3113 17.9592
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.215e+01 5.350e-01 97.483 < 2e-16 ***
## Alcohol 1.164e-01 2.610e-02 4.459 8.60e-06 ***
## Measles -4.793e-05 7.939e-06 -6.038 1.81e-09 ***
## Population.x -3.720e-10 1.652e-09 -0.225 0.822
## HIV.AIDS -4.779e-01 2.057e-02 -23.234 < 2e-16 ***
## BMI 5.047e-02 5.260e-03 9.594 < 2e-16 ***
## Adult.Mortality -2.163e-02 9.159e-04 -23.618 < 2e-16 ***
## Polio 2.979e-02 5.032e-03 5.920 3.70e-09 ***
## Diphtheria 3.693e-02 5.142e-03 7.182 9.20e-13 ***
## Income.composition.of.resources 7.003e+00 7.255e-01 9.652 < 2e-16 ***
## Schooling 7.535e-01 4.887e-02 15.419 < 2e-16 ***
## GDP 6.057e-07 7.804e-08 7.761 1.25e-14 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.208 on 2338 degrees of freedom
## Multiple R-squared: 0.8037, Adjusted R-squared: 0.8028
## F-statistic: 870.3 on 11 and 2338 DF, p-value: < 2.2e-16
plot(train.model3)
autoplot(train.model3, which =c(1:2, 5:6), label.size = 2)
# = Final linear-log model =
# `train.model4` includes the log-transformed predictor variables with low VIF, un-transformed response variable
train.model4 <- lm(Life.expectancy ~ lAlcohol + lMeasles + lPopulation + lHIV.AIDS + lBMI + lAdult.Mortality + lPolio + lDiphtheria + lIncome.composition.of.resources + lSchooling + lGDP,
data = train2)
summary(train.model4) # all variables significant
##
## Call:
## lm(formula = Life.expectancy ~ lAlcohol + lMeasles + lPopulation +
## lHIV.AIDS + lBMI + lAdult.Mortality + lPolio + lDiphtheria +
## lIncome.composition.of.resources + lSchooling + lGDP, data = train2)
##
## Residuals:
## Min 1Q Median 3Q Max
## -23.9847 -2.2402 0.1002 2.2342 14.4279
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 53.37566 1.21249 44.022 < 2e-16 ***
## lAlcohol 0.21984 0.04273 5.145 2.90e-07 ***
## lMeasles -0.41443 0.03059 -13.547 < 2e-16 ***
## lPopulation -0.26567 0.03768 -7.051 2.32e-12 ***
## lHIV.AIDS -2.86444 0.07086 -40.422 < 2e-16 ***
## lBMI 0.34401 0.11188 3.075 0.002131 **
## lAdult.Mortality -0.81161 0.08407 -9.655 < 2e-16 ***
## lPolio 0.55636 0.15065 3.693 0.000227 ***
## lDiphtheria 0.50216 0.15510 3.238 0.001222 **
## lIncome.composition.of.resources 4.98219 0.44307 11.245 < 2e-16 ***
## lSchooling 3.18014 0.27057 11.753 < 2e-16 ***
## lGDP 0.97230 0.04949 19.645 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.926 on 2338 degrees of freedom
## Multiple R-squared: 0.8291, Adjusted R-squared: 0.8283
## F-statistic: 1031 on 11 and 2338 DF, p-value: < 2.2e-16
autoplot(train.model4, which =c(1:2, 5:6), label.size = 2)
coeffs4 <- coef(train.model4)
new_coefficients <- coeffs4 * log(2)
conf_intervals4 <- confint(train.model4)
new_conf_intervals4 <- conf_intervals4 * log(2)
lower_bounds4 <- new_conf_intervals4[, 1]
upper_bounds4 <- new_conf_intervals4[, 2]
lower_bounds4
## (Intercept) lAlcohol
## 35.34912210 0.09429851
## lMeasles lPopulation
## -0.32884283 -0.23535885
## lHIV.AIDS lBMI
## -2.08180023 0.08637812
## lAdult.Mortality lPolio
## -0.67682972 0.18087480
## lDiphtheria lIncome.composition.of.resources
## 0.13724833 2.85114694
## lSchooling lGDP
## 1.83653612 0.60667658
upper_bounds4
## (Intercept) lAlcohol
## 38.6452578 0.2104675
## lMeasles lPopulation
## -0.2456799 -0.1329369
## lHIV.AIDS lBMI
## -1.8891564 0.3905243
## lAdult.Mortality lPolio
## -0.4482987 0.5904025
## lDiphtheria lIncome.composition.of.resources
## 0.5588888 4.0556287
## lSchooling lGDP
## 2.5720792 0.7412241
combined_intervals4 <- cbind(lower_bounds4, upper_bounds4)
III. Model 2: Linear-Log Quadratic
Addressing Objective 2: Create models that best predict life expectancy - Parametric
Training_data_Shared <- train
Testing_data_Shared <- test
LEdata_clean <- Training_data_Shared
Model reduction for multiplecollinearity.
Note: This is the base for all other models.
- Multicorrelated continuous terms removed: (thinness.5.9.years, BMI, under.five.deaths, Schooling, Polio, Population, Adult.Mortality)
Only region + Status are kept as categorical variables.
# Traditional lm with categorical variables
Reduced_LE_lm_model <- lm(Life_Expectancy~ infant.deaths+ Alcohol+ percentage.expenditure+
Hepatitis.B.x + Measles+ Total.expenditure+ Population.x +
Diphtheria+ HIV.AIDS+ thinness..1.19.years+
Income.composition.of.resources+ GDP + region + Status, data=LEdata_clean)
cat("\n\n------------Catagorical LM-------------------\n\n")
##
##
## ------------Catagorical LM-------------------
summary(Reduced_LE_lm_model)
##
## Call:
## lm(formula = Life_Expectancy ~ infant.deaths + Alcohol + percentage.expenditure +
## Hepatitis.B.x + Measles + Total.expenditure + Population.x +
## Diphtheria + HIV.AIDS + thinness..1.19.years + Income.composition.of.resources +
## GDP + region + Status, data = LEdata_clean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -31.5431 -2.7421 0.0013 2.4334 19.8256
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.352e+01 7.541e-01 70.977 < 2e-16 ***
## infant.deaths -4.678e-03 1.183e-03 -3.956 7.86e-05 ***
## Alcohol -9.273e-02 3.584e-02 -2.587 0.009739 **
## percentage.expenditure 4.041e-04 5.433e-05 7.438 1.43e-13 ***
## Hepatitis.B.x -1.738e-03 4.814e-03 -0.361 0.718173
## Measles -9.124e-06 9.395e-06 -0.971 0.331555
## Total.expenditure 5.277e-02 4.385e-02 1.204 0.228880
## Population.x 2.558e-09 2.058e-09 1.243 0.213980
## Diphtheria 6.120e-02 4.996e-03 12.251 < 2e-16 ***
## HIV.AIDS -5.051e-01 2.188e-02 -23.087 < 2e-16 ***
## thinness..1.19.years -1.174e-01 3.089e-02 -3.800 0.000149 ***
## Income.composition.of.resources 1.400e+01 6.023e-01 23.236 < 2e-16 ***
## GDP 4.796e-07 8.859e-08 5.414 6.80e-08 ***
## regionAmericas 7.721e+00 3.543e-01 21.792 < 2e-16 ***
## regionAsia 6.366e+00 2.981e-01 21.358 < 2e-16 ***
## regionEurope 7.625e+00 4.223e-01 18.054 < 2e-16 ***
## regionOceania 6.186e+00 4.694e-01 13.178 < 2e-16 ***
## StatusDeveloping -2.297e+00 3.857e-01 -5.956 2.97e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.506 on 2332 degrees of freedom
## Multiple R-squared: 0.782, Adjusted R-squared: 0.7805
## F-statistic: 492.2 on 17 and 2332 DF, p-value: < 2.2e-16
# lm model with only continuous variables
Reduced_LE_LM_Cont_Model <- lm(Life_Expectancy~ infant.deaths+ Alcohol+ percentage.expenditure+
Hepatitis.B.x + Measles+ Total.expenditure+ Population.x +
Diphtheria+ HIV.AIDS+ thinness..1.19.years+
Income.composition.of.resources+ GDP, data=LEdata_clean)
cat("\n\n------------Continuous LM-------------------\n\n")
##
##
## ------------Continuous LM-------------------
summary(Reduced_LE_LM_Cont_Model)
##
## Call:
## lm(formula = Life_Expectancy ~ infant.deaths + Alcohol + percentage.expenditure +
## Hepatitis.B.x + Measles + Total.expenditure + Population.x +
## Diphtheria + HIV.AIDS + thinness..1.19.years + Income.composition.of.resources +
## GDP, data = LEdata_clean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -28.7382 -2.9664 0.1998 2.6957 21.1664
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.168e+01 6.490e-01 79.636 < 2e-16 ***
## infant.deaths -3.393e-03 1.345e-03 -2.523 0.01171 *
## Alcohol 1.367e-01 3.308e-02 4.133 3.71e-05 ***
## percentage.expenditure 4.741e-04 5.949e-05 7.970 2.46e-15 ***
## Hepatitis.B.x -1.136e-03 5.456e-03 -0.208 0.83512
## Measles -2.429e-05 1.067e-05 -2.277 0.02287 *
## Total.expenditure 1.312e-01 4.867e-02 2.695 0.00709 **
## Population.x 5.387e-09 2.342e-09 2.300 0.02151 *
## Diphtheria 7.833e-02 5.601e-03 13.983 < 2e-16 ***
## HIV.AIDS -7.396e-01 2.278e-02 -32.467 < 2e-16 ***
## thinness..1.19.years -2.384e-01 3.165e-02 -7.530 7.18e-14 ***
## Income.composition.of.resources 1.851e+01 6.502e-01 28.465 < 2e-16 ***
## GDP 6.131e-07 9.690e-08 6.327 2.99e-10 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 5.138 on 2337 degrees of freedom
## Multiple R-squared: 0.7161, Adjusted R-squared: 0.7146
## F-statistic: 491.1 on 12 and 2337 DF, p-value: < 2.2e-16
View individual features with log transformations.
This only includes those features that are impacted by added complexity.
library(patchwork)
# Scatterplot with legend
expend_no_log <- ggplot(LEdata_clean, aes(x = percentage.expenditure , y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = TRUE) +
geom_smooth(method = "lm", formula = y ~ log(x), se = FALSE, aes(group = 1), col = "black") +
xlab("percentage.expenditure ")
# Scatterplots without legends
expend_log <- ggplot(LEdata_clean, aes(x = log(percentage.expenditure ), y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ x, se = FALSE, aes(group = 1), col = "black") +
xlab("Logged percentage.expenditure ")
income_no_log <- ggplot(LEdata_clean, aes(x = GDP, y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ log(x), se = FALSE, aes(group = 1), col = "black") +
xlab("GDP")
income_log <- ggplot(LEdata_clean, aes(x = log(GDP), y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ x, se = FALSE, aes(group = 1), col = "black") +
xlab("Logged GDP")
# Combine plots using patchwork
combined_plots <- expend_no_log + expend_log + income_no_log + income_log +
plot_layout(guides = "collect") +
plot_annotation(title = "Relationship of Life Expectancy with Expenditure and GDP")
combined_plots
## Warning: Computation failed in `stat_smooth()`
## Caused by error in `lm.wfit()`:
## ! NA/NaN/Inf in 'x'
## Warning: Removed 490 rows containing non-finite values (`stat_smooth()`).
# Scatterplot with legend
pop_no_log <- ggplot(LEdata_clean, aes(x = Population.x, y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = TRUE) +
geom_smooth(method = "lm", formula = y ~ log(x), se = FALSE, aes(group = 1), col = "black") +
xlab("population")
# Scatterplots without legends
pop_log <- ggplot(LEdata_clean, aes(x = log(Population.x), y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ x, se = FALSE, aes(group = 1), col = "black") +
xlab("Logged Population")
infant_no_log <- ggplot(LEdata_clean, aes(x = infant.deaths, y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ log(x), se = FALSE, aes(group = 1), col = "black") +
xlab("infant.deaths")
infant_log <- ggplot(LEdata_clean, aes(x = log(infant.deaths), y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ x, se = FALSE, aes(group = 1), col = "black") +
xlab("Logged infant.deaths")
# Combine plots using patchwork
combined_plots2 <- pop_no_log + pop_log + infant_no_log + infant_log +
plot_layout(guides = "collect") +
plot_annotation(title = "Relationship of Life Expectancy with Population and Infant Deaths")
combined_plots2
## Warning: Computation failed in `stat_smooth()`
## Caused by error in `lm.wfit()`:
## ! NA/NaN/Inf in 'x'
## Warning: Removed 692 rows containing non-finite values (`stat_smooth()`).
# Scatterplot with legend
dip_no_log <- ggplot(LEdata_clean, aes(x = Diphtheria, y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ log(x), se = FALSE, aes(group = 1), col = "black") +
xlab("Diphtheria")
dip_log <- ggplot(LEdata_clean, aes(x = log(LEdata_clean$Diphtheria), y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ x, se = FALSE, aes(group = 1), col = "black") +
xlab("Logged Diphtheria")
# Scatterplots without legends
dip_quad <- ggplot(LEdata_clean, aes(x = poly(LEdata_clean$Diphtheria, 3)[, 2], y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ x, se = FALSE, aes(group = 1), col = "black") +
xlab("Quadratic Diphtheria")
dip_cubic <- ggplot(LEdata_clean, aes(x = poly(LEdata_clean$Diphtheria, 3)[, 3], y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ x, se = FALSE, aes(group = 1), col = "black") +
xlab("Cubic Diphtheria")
# Combine plots using patchwork
combined_plots3 <- dip_no_log + dip_log + dip_quad + dip_cubic +
plot_layout(guides = "collect") +
plot_annotation(title = "Relationship of Life Expectancy with Diphtheria")
combined_plots3
## Warning: Use of `LEdata_clean$Diphtheria` is discouraged.
## ℹ Use `Diphtheria` instead.
## Warning: Use of `LEdata_clean$Diphtheria` is discouraged.
## ℹ Use `Diphtheria` instead.
## Use of `LEdata_clean$Diphtheria` is discouraged.
## ℹ Use `Diphtheria` instead.
## Use of `LEdata_clean$Diphtheria` is discouraged.
## ℹ Use `Diphtheria` instead.
## Use of `LEdata_clean$Diphtheria` is discouraged.
## ℹ Use `Diphtheria` instead.
## Use of `LEdata_clean$Diphtheria` is discouraged.
## ℹ Use `Diphtheria` instead.
# Scatterplot with legend
hiv_no_log <- ggplot(LEdata_clean, aes(x = HIV.AIDS, y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = TRUE) +
geom_smooth(method = "lm", formula = y ~ log(x), se = FALSE, aes(group = 1), col = "black") +
xlab("HIV")
# Scatterplots without legends
hiv_log <- ggplot(LEdata_clean, aes(x = log(HIV.AIDS), y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ x, se = FALSE, aes(group = 1), col = "black") +
xlab("Logged HIV")
meas_no_log <- ggplot(LEdata_clean, aes(x = Measles, y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ log(x), se = FALSE, aes(group = 1), col = "black") +
xlab("Measles")
meas_log <- ggplot(LEdata_clean, aes(x = log(Measles), y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ x, se = FALSE, aes(group = 1), col = "black") +
xlab("Logged Measles")
# Combine plots using patchwork
combined_plots4 <- hiv_no_log + hiv_log + meas_no_log + meas_log +
plot_layout(guides = "collect") +
plot_annotation(title = "Relationship of Life Expectancy with HIV and Measles")
combined_plots4
## Warning: Computation failed in `stat_smooth()`
## Caused by error in `lm.wfit()`:
## ! NA/NaN/Inf in 'x'
## Warning: Removed 805 rows containing non-finite values (`stat_smooth()`).
# Scatterplot with legend
Alcohol_no_log <- ggplot(LEdata_clean, aes(x = Alcohol, y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = TRUE) +
geom_smooth(method = "lm", formula = y ~ log(x), se = FALSE, aes(group = 1), col = "black") +
xlab("Alcohol")
# Scatterplots without legends
Alcohol_log <- ggplot(LEdata_clean, aes(x = log(Alcohol), y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ x, se = FALSE, aes(group = 1), col = "black") +
xlab("Logged Alcohol")
income_no_log <- ggplot(LEdata_clean, aes(x =Income.composition.of.resources, y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ log(x), se = FALSE, aes(group = 1), col = "black") +
xlab("Income")
income_log <- ggplot(LEdata_clean, aes(x = log(Income.composition.of.resources), y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ x, se = FALSE, aes(group = 1), col = "black") +
xlab("Logged Income")
# Combine plots using patchwork
combined_plots5 <- Alcohol_no_log + Alcohol_log + income_no_log + income_log +
plot_layout(guides = "collect") +
plot_annotation(title = "Relationship of Life Expectancy with Alcohol and Income")
combined_plots5
## Warning: Computation failed in `stat_smooth()`
## Caused by error in `lm.wfit()`:
## ! NA/NaN/Inf in 'x'
## Warning: Removed 105 rows containing non-finite values (`stat_smooth()`).
# Scatterplot with legend
Thin_no_log <- ggplot(LEdata_clean, aes(x = thinness..1.19.years, y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = TRUE) +
geom_smooth(method = "lm", formula = y ~ log(x), se = FALSE, aes(group = 1), col = "black") +
xlab("thinness..1.19.years")
# Scatterplots without legends
Thin_log <- ggplot(LEdata_clean, aes(x = log(thinness..1.19.years), y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ x, se = FALSE, aes(group = 1), col = "black") +
xlab("Logged thinness..1.19.years")
# Scatterplots without legends
Thin_quad <- ggplot(LEdata_clean, aes(x = poly(thinness..1.19.years, 3)[, 2], y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ x, se = FALSE, aes(group = 1), col = "black") +
xlab("Quadratic thinness..1.19.years")
Thin_cubic <- ggplot(LEdata_clean, aes(x = poly(LEdata_clean$thinness..1.19.years, 3)[, 3], y = Life_Expectancy, col = region)) +
geom_jitter(show.legend = FALSE) +
geom_smooth(method = "lm", formula = y ~ x, se = FALSE, aes(group = 1), col = "black") +
xlab("Cubic thinness..1.19.years")
# Combine plots using patchwork
combined_plots6 <- Thin_no_log + Thin_log + Thin_quad + Thin_cubic +
plot_layout(guides = "collect") +
plot_annotation(title = "Relationship of Life Expectancy with Thinness")
combined_plots6
## Warning: Use of `LEdata_clean$thinness..1.19.years` is discouraged.
## ℹ Use `thinness..1.19.years` instead.
## Warning: Use of `LEdata_clean$thinness..1.19.years` is discouraged.
## ℹ Use `thinness..1.19.years` instead.
Model log transformations to improve homoscedasticity.
Note: This had to be done with separate columns because some of the transformations were returning an -Inf instead of a number. This was happening on zero values so zero was put back in to replace the -Inf.
# Check for non-numeric values
any(!is.numeric(LEdata_clean$Measles))
## [1] FALSE
LEdata_clean2 <- LEdata_clean
# Create a new column called 'linfant.deaths' and place the log of the values in 'infant.deaths' in this column
LEdata_clean2$linfant.deaths <- log(LEdata_clean2$infant.deaths)
LEdata_clean2$lAlcohol <- log(LEdata_clean2$Alcohol)
LEdata_clean2$lpercentage.expenditure <- log(LEdata_clean2$percentage.expenditure)
LEdata_clean2$lMeasles <- log(LEdata_clean2$Measles)
LEdata_clean2$lTotal.expenditure <- log(LEdata_clean2$Total.expenditure)
LEdata_clean2$lPopulation <- log(LEdata_clean2$Population.x)
LEdata_clean2$lHIV.AIDS <- log(LEdata_clean2$HIV.AIDS)
LEdata_clean2$lGDP <- log(LEdata_clean2$GDP)
# LEdata_clean2$QDiphtheria <- poly(LEdata_clean$Diphtheria, 3)[, 2]
# Check for missing values in specific columns
sapply(LEdata_clean2[, c("linfant.deaths", "lAlcohol", "lpercentage.expenditure", "lMeasles", "lTotal.expenditure", "lPopulation", "lHIV.AIDS", "lGDP", "Diphtheria")], function(x) sum(is.na(x)))
## linfant.deaths lAlcohol lpercentage.expenditure
## 0 0 0
## lMeasles lTotal.expenditure lPopulation
## 0 0 0
## lHIV.AIDS lGDP Diphtheria
## 0 0 0
#LEdata_clean2
LEdata_clean3 <- LEdata_clean2
### The dataframe has corrupted values that are impacting log transformations ###
### -Inf is being inserted instead of a logged values and must be replaced by a median for that column ###
### Note -Inf is being returned when a value is zero, so -Inf needs to be replace with 0 after the log transformation ###
# Function to replace -Inf with median in a column and then replace remaining -Inf with 0
replace_inf_with_median_and_zero <- function(column) {
median_value <- median(column, na.rm = TRUE)
#column[column == -Inf] <- median_value
column[column == -Inf] <- 0
return(column)
}
# Apply the function to all numeric columns of the data frame
numeric_columns <- sapply(LEdata_clean3, is.numeric)
LEdata_clean3[numeric_columns] <- lapply(LEdata_clean3[numeric_columns], replace_inf_with_median_and_zero)
################Log the testing data ##################################
# Check for non-numeric values
any(!is.numeric(Testing_data_Shared$Measles))
## [1] FALSE
Testing_data_Shared2 <- Testing_data_Shared
# Create a new column called 'linfant.deaths' and place the log of the values in 'infant.deaths' in this column
Testing_data_Shared2$linfant.deaths <- log(Testing_data_Shared2$infant.deaths)
Testing_data_Shared2$lAlcohol <- log(Testing_data_Shared2$Alcohol)
Testing_data_Shared2$lpercentage.expenditure <- log(Testing_data_Shared2$percentage.expenditure)
Testing_data_Shared2$lMeasles <- log(Testing_data_Shared2$Measles)
Testing_data_Shared2$lTotal.expenditure <- log(Testing_data_Shared2$Total.expenditure)
Testing_data_Shared2$lPopulation <- log(Testing_data_Shared2$Population.x)
Testing_data_Shared2$lHIV.AIDS <- log(Testing_data_Shared2$HIV.AIDS)
Testing_data_Shared2$lGDP <- log(Testing_data_Shared2$GDP)
#Testing_data_Shared2$QDiphtheria <- poly(Testing_data_Shared2$Diphtheria, 3)[, 2]
# Check for missing values in specific columns
sapply(Testing_data_Shared2[, c("linfant.deaths", "lAlcohol", "lpercentage.expenditure", "lMeasles", "lTotal.expenditure", "lPopulation", "lHIV.AIDS", "lGDP", "Diphtheria")], function(x) sum(is.na(x)))
## linfant.deaths lAlcohol lpercentage.expenditure
## 0 0 0
## lMeasles lTotal.expenditure lPopulation
## 0 0 0
## lHIV.AIDS lGDP Diphtheria
## 0 0 0
#Testing_data_Shared2
Testing_data_Shared3 <- Testing_data_Shared2
### The dataframe has corrupted values that are impacting log transformations ###
### -Inf is being inserted instead of a logged values and must be replaced by a median for that column ###
### Note -Inf is being returned when a value is zero, so -Inf needs to be replace with 0 after the log transformation ###
# Function to replace -Inf with median in a column and then replace remaining -Inf with 0
replace_inf_with_median_and_zero2 <- function(column) {
median_value <- median(column, na.rm = TRUE)
#column[column == -Inf] <- median_value
column[column == -Inf] <- 0
return(column)
}
# Apply the function to all numeric columns of the data frame
numeric_columns <- sapply(Testing_data_Shared3, is.numeric)
Testing_data_Shared3[numeric_columns] <- lapply(Testing_data_Shared3[numeric_columns], replace_inf_with_median_and_zero2)
LEdata_clean3
## X sub.region Year
## 1 1 Australia and New Zealand 2000
## 2 2 Australia and New Zealand 2000
## 3 3 Australia and New Zealand 2001
## 4 4 Australia and New Zealand 2001
## 5 5 Australia and New Zealand 2002
## 6 6 Australia and New Zealand 2002
## 7 7 Australia and New Zealand 2003
## 8 8 Australia and New Zealand 2003
## 9 9 Australia and New Zealand 2004
## 10 10 Australia and New Zealand 2004
## 11 11 Australia and New Zealand 2005
## 12 12 Australia and New Zealand 2005
## 13 13 Australia and New Zealand 2006
## 14 14 Australia and New Zealand 2006
## 15 16 Australia and New Zealand 2007
## 16 18 Australia and New Zealand 2008
## 17 20 Australia and New Zealand 2009
## 18 21 Australia and New Zealand 2010
## 19 23 Australia and New Zealand 2011
## 20 24 Australia and New Zealand 2011
## 21 25 Australia and New Zealand 2012
## 22 26 Australia and New Zealand 2012
## 23 27 Australia and New Zealand 2013
## 24 28 Australia and New Zealand 2013
## 25 30 Australia and New Zealand 2014
## 26 31 Australia and New Zealand 2015
## 27 32 Australia and New Zealand 2015
## 28 33 Central Asia 2000
## 29 34 Central Asia 2000
## 30 35 Central Asia 2000
## 31 36 Central Asia 2000
## 32 38 Central Asia 2001
## 33 39 Central Asia 2001
## 34 41 Central Asia 2001
## 35 42 Central Asia 2001
## 36 43 Central Asia 2002
## 37 46 Central Asia 2002
## 38 47 Central Asia 2002
## 39 48 Central Asia 2003
## 40 49 Central Asia 2003
## 41 50 Central Asia 2003
## 42 52 Central Asia 2003
## 43 53 Central Asia 2004
## 44 54 Central Asia 2004
## 45 55 Central Asia 2004
## 46 57 Central Asia 2004
## 47 59 Central Asia 2005
## 48 63 Central Asia 2006
## 49 64 Central Asia 2006
## 50 65 Central Asia 2006
## 51 66 Central Asia 2006
## 52 67 Central Asia 2006
## 53 68 Central Asia 2007
## 54 69 Central Asia 2007
## 55 70 Central Asia 2007
## 56 71 Central Asia 2007
## 57 72 Central Asia 2007
## 58 73 Central Asia 2008
## 59 74 Central Asia 2008
## 60 75 Central Asia 2008
## 61 76 Central Asia 2008
## 62 77 Central Asia 2008
## 63 78 Central Asia 2009
## 64 79 Central Asia 2009
## 65 80 Central Asia 2009
## 66 82 Central Asia 2009
## 67 83 Central Asia 2010
## 68 85 Central Asia 2010
## 69 88 Central Asia 2011
## 70 89 Central Asia 2011
## 71 90 Central Asia 2011
## 72 91 Central Asia 2011
## 73 92 Central Asia 2011
## 74 93 Central Asia 2012
## 75 94 Central Asia 2012
## 76 95 Central Asia 2012
## 77 96 Central Asia 2012
## 78 97 Central Asia 2012
## 79 98 Central Asia 2013
## 80 100 Central Asia 2013
## 81 101 Central Asia 2013
## 82 102 Central Asia 2013
## 83 103 Central Asia 2014
## 84 104 Central Asia 2014
## 85 105 Central Asia 2014
## 86 106 Central Asia 2014
## 87 107 Central Asia 2014
## 88 110 Central Asia 2015
## 89 113 Eastern Asia 2000
## 90 114 Eastern Asia 2000
## 91 117 Eastern Asia 2000
## 92 118 Eastern Asia 2001
## 93 119 Eastern Asia 2001
## 94 120 Eastern Asia 2001
## 95 122 Eastern Asia 2001
## 96 123 Eastern Asia 2002
## 97 124 Eastern Asia 2002
## 98 125 Eastern Asia 2002
## 99 128 Eastern Asia 2003
## 100 130 Eastern Asia 2003
## 101 131 Eastern Asia 2003
## 102 133 Eastern Asia 2004
## 103 134 Eastern Asia 2004
## 104 136 Eastern Asia 2004
## 105 137 Eastern Asia 2004
## 106 138 Eastern Asia 2005
## 107 139 Eastern Asia 2005
## 108 141 Eastern Asia 2005
## 109 142 Eastern Asia 2005
## 110 143 Eastern Asia 2006
## 111 144 Eastern Asia 2006
## 112 145 Eastern Asia 2006
## 113 146 Eastern Asia 2006
## 114 147 Eastern Asia 2006
## 115 149 Eastern Asia 2007
## 116 151 Eastern Asia 2007
## 117 152 Eastern Asia 2007
## 118 153 Eastern Asia 2008
## 119 154 Eastern Asia 2008
## 120 155 Eastern Asia 2008
## 121 156 Eastern Asia 2008
## 122 157 Eastern Asia 2008
## 123 159 Eastern Asia 2009
## 124 160 Eastern Asia 2009
## 125 162 Eastern Asia 2009
## 126 163 Eastern Asia 2010
## 127 164 Eastern Asia 2010
## 128 165 Eastern Asia 2010
## 129 166 Eastern Asia 2010
## 130 167 Eastern Asia 2010
## 131 168 Eastern Asia 2011
## 132 170 Eastern Asia 2011
## 133 171 Eastern Asia 2011
## 134 172 Eastern Asia 2011
## 135 173 Eastern Asia 2012
## 136 174 Eastern Asia 2012
## 137 175 Eastern Asia 2012
## 138 176 Eastern Asia 2012
## 139 177 Eastern Asia 2012
## 140 178 Eastern Asia 2013
## 141 179 Eastern Asia 2013
## 142 180 Eastern Asia 2013
## 143 183 Eastern Asia 2014
## 144 184 Eastern Asia 2014
## 145 186 Eastern Asia 2014
## 146 187 Eastern Asia 2014
## 147 188 Eastern Asia 2015
## 148 189 Eastern Asia 2015
## 149 190 Eastern Asia 2015
## 150 191 Eastern Asia 2015
## 151 192 Eastern Asia 2015
## 152 193 Eastern Europe 2000
## 153 194 Eastern Europe 2000
## 154 195 Eastern Europe 2000
## 155 196 Eastern Europe 2000
## 156 197 Eastern Europe 2000
## 157 198 Eastern Europe 2000
## 158 199 Eastern Europe 2000
## 159 200 Eastern Europe 2000
## 160 201 Eastern Europe 2000
## 161 202 Eastern Europe 2000
## 162 203 Eastern Europe 2001
## 163 204 Eastern Europe 2001
## 164 205 Eastern Europe 2001
## 165 206 Eastern Europe 2001
## 166 207 Eastern Europe 2001
## 167 208 Eastern Europe 2001
## 168 209 Eastern Europe 2001
## 169 210 Eastern Europe 2001
## 170 211 Eastern Europe 2001
## 171 212 Eastern Europe 2001
## 172 213 Eastern Europe 2002
## 173 214 Eastern Europe 2002
## 174 215 Eastern Europe 2002
## 175 216 Eastern Europe 2002
## 176 218 Eastern Europe 2002
## 177 220 Eastern Europe 2002
## 178 221 Eastern Europe 2002
## 179 223 Eastern Europe 2003
## 180 224 Eastern Europe 2003
## 181 225 Eastern Europe 2003
## 182 226 Eastern Europe 2003
## 183 227 Eastern Europe 2003
## 184 228 Eastern Europe 2003
## 185 229 Eastern Europe 2003
## 186 230 Eastern Europe 2003
## 187 231 Eastern Europe 2003
## 188 232 Eastern Europe 2003
## 189 233 Eastern Europe 2004
## 190 235 Eastern Europe 2004
## 191 236 Eastern Europe 2004
## 192 237 Eastern Europe 2004
## 193 238 Eastern Europe 2004
## 194 239 Eastern Europe 2004
## 195 240 Eastern Europe 2004
## 196 241 Eastern Europe 2004
## 197 242 Eastern Europe 2004
## 198 243 Eastern Europe 2005
## 199 244 Eastern Europe 2005
## 200 245 Eastern Europe 2005
## 201 246 Eastern Europe 2005
## 202 249 Eastern Europe 2005
## 203 250 Eastern Europe 2005
## 204 251 Eastern Europe 2005
## 205 252 Eastern Europe 2005
## 206 253 Eastern Europe 2006
## 207 254 Eastern Europe 2006
## 208 255 Eastern Europe 2006
## 209 256 Eastern Europe 2006
## 210 257 Eastern Europe 2006
## 211 258 Eastern Europe 2006
## 212 259 Eastern Europe 2006
## 213 261 Eastern Europe 2006
## 214 262 Eastern Europe 2006
## 215 263 Eastern Europe 2007
## 216 264 Eastern Europe 2007
## 217 265 Eastern Europe 2007
## 218 266 Eastern Europe 2007
## 219 267 Eastern Europe 2007
## 220 268 Eastern Europe 2007
## 221 269 Eastern Europe 2007
## 222 271 Eastern Europe 2007
## 223 272 Eastern Europe 2007
## 224 274 Eastern Europe 2008
## 225 275 Eastern Europe 2008
## 226 276 Eastern Europe 2008
## 227 277 Eastern Europe 2008
## 228 278 Eastern Europe 2008
## 229 279 Eastern Europe 2008
## 230 280 Eastern Europe 2008
## 231 283 Eastern Europe 2009
## 232 284 Eastern Europe 2009
## 233 285 Eastern Europe 2009
## 234 286 Eastern Europe 2009
## 235 288 Eastern Europe 2009
## 236 289 Eastern Europe 2009
## 237 290 Eastern Europe 2009
## 238 292 Eastern Europe 2009
## 239 293 Eastern Europe 2010
## 240 294 Eastern Europe 2010
## 241 295 Eastern Europe 2010
## 242 297 Eastern Europe 2010
## 243 298 Eastern Europe 2010
## 244 299 Eastern Europe 2010
## 245 301 Eastern Europe 2010
## 246 302 Eastern Europe 2010
## 247 303 Eastern Europe 2011
## 248 304 Eastern Europe 2011
## 249 306 Eastern Europe 2011
## 250 307 Eastern Europe 2011
## 251 308 Eastern Europe 2011
## 252 310 Eastern Europe 2011
## 253 311 Eastern Europe 2011
## 254 312 Eastern Europe 2011
## 255 314 Eastern Europe 2012
## 256 317 Eastern Europe 2012
## 257 318 Eastern Europe 2012
## 258 319 Eastern Europe 2012
## 259 321 Eastern Europe 2012
## 260 322 Eastern Europe 2012
## 261 323 Eastern Europe 2013
## 262 324 Eastern Europe 2013
## 263 325 Eastern Europe 2013
## 264 326 Eastern Europe 2013
## 265 327 Eastern Europe 2013
## 266 328 Eastern Europe 2013
## 267 331 Eastern Europe 2013
## 268 332 Eastern Europe 2013
## 269 333 Eastern Europe 2014
## 270 335 Eastern Europe 2014
## 271 336 Eastern Europe 2014
## 272 337 Eastern Europe 2014
## 273 338 Eastern Europe 2014
## 274 339 Eastern Europe 2014
## 275 341 Eastern Europe 2014
## 276 344 Eastern Europe 2015
## 277 345 Eastern Europe 2015
## 278 346 Eastern Europe 2015
## 279 347 Eastern Europe 2015
## 280 348 Eastern Europe 2015
## 281 350 Eastern Europe 2015
## 282 351 Eastern Europe 2015
## 283 352 Eastern Europe 2015
## 284 353 Latin America and the Caribbean 2000
## 285 354 Latin America and the Caribbean 2000
## 286 356 Latin America and the Caribbean 2000
## 287 357 Latin America and the Caribbean 2000
## 288 360 Latin America and the Caribbean 2000
## 289 362 Latin America and the Caribbean 2000
## 290 364 Latin America and the Caribbean 2000
## 291 365 Latin America and the Caribbean 2000
## 292 366 Latin America and the Caribbean 2000
## 293 367 Latin America and the Caribbean 2000
## 294 368 Latin America and the Caribbean 2000
## 295 370 Latin America and the Caribbean 2000
## 296 371 Latin America and the Caribbean 2000
## 297 372 Latin America and the Caribbean 2000
## 298 373 Latin America and the Caribbean 2000
## 299 374 Latin America and the Caribbean 2000
## 300 375 Latin America and the Caribbean 2000
## 301 376 Latin America and the Caribbean 2000
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## 1767 2203 Sub-Saharan Africa 2008
## 1768 2204 Sub-Saharan Africa 2008
## 1769 2205 Sub-Saharan Africa 2008
## 1770 2206 Sub-Saharan Africa 2008
## 1771 2208 Sub-Saharan Africa 2008
## 1772 2209 Sub-Saharan Africa 2008
## 1773 2210 Sub-Saharan Africa 2008
## 1774 2211 Sub-Saharan Africa 2008
## 1775 2213 Sub-Saharan Africa 2008
## 1776 2214 Sub-Saharan Africa 2008
## 1777 2215 Sub-Saharan Africa 2008
## 1778 2217 Sub-Saharan Africa 2008
## 1779 2218 Sub-Saharan Africa 2009
## 1780 2219 Sub-Saharan Africa 2009
## 1781 2220 Sub-Saharan Africa 2009
## 1782 2222 Sub-Saharan Africa 2009
## 1783 2223 Sub-Saharan Africa 2009
## 1784 2224 Sub-Saharan Africa 2009
## 1785 2226 Sub-Saharan Africa 2009
## 1786 2227 Sub-Saharan Africa 2009
## 1787 2228 Sub-Saharan Africa 2009
## 1788 2229 Sub-Saharan Africa 2009
## 1789 2230 Sub-Saharan Africa 2009
## 1790 2231 Sub-Saharan Africa 2009
## 1791 2232 Sub-Saharan Africa 2009
## 1792 2233 Sub-Saharan Africa 2009
## 1793 2234 Sub-Saharan Africa 2009
## 1794 2235 Sub-Saharan Africa 2009
## 1795 2236 Sub-Saharan Africa 2009
## 1796 2237 Sub-Saharan Africa 2009
## 1797 2238 Sub-Saharan Africa 2009
## 1798 2239 Sub-Saharan Africa 2009
## 1799 2240 Sub-Saharan Africa 2009
## 1800 2242 Sub-Saharan Africa 2009
## 1801 2243 Sub-Saharan Africa 2009
## 1802 2244 Sub-Saharan Africa 2009
## 1803 2245 Sub-Saharan Africa 2009
## 1804 2246 Sub-Saharan Africa 2009
## 1805 2247 Sub-Saharan Africa 2009
## 1806 2248 Sub-Saharan Africa 2009
## 1807 2250 Sub-Saharan Africa 2009
## 1808 2251 Sub-Saharan Africa 2009
## 1809 2252 Sub-Saharan Africa 2009
## 1810 2253 Sub-Saharan Africa 2009
## 1811 2254 Sub-Saharan Africa 2009
## 1812 2255 Sub-Saharan Africa 2009
## 1813 2256 Sub-Saharan Africa 2009
## 1814 2258 Sub-Saharan Africa 2009
## 1815 2259 Sub-Saharan Africa 2009
## 1816 2260 Sub-Saharan Africa 2009
## 1817 2261 Sub-Saharan Africa 2009
## 1818 2262 Sub-Saharan Africa 2009
## 1819 2263 Sub-Saharan Africa 2009
## 1820 2264 Sub-Saharan Africa 2009
## 1821 2266 Sub-Saharan Africa 2010
## 1822 2267 Sub-Saharan Africa 2010
## 1823 2268 Sub-Saharan Africa 2010
## 1824 2269 Sub-Saharan Africa 2010
## 1825 2270 Sub-Saharan Africa 2010
## 1826 2271 Sub-Saharan Africa 2010
## 1827 2272 Sub-Saharan Africa 2010
## 1828 2274 Sub-Saharan Africa 2010
## 1829 2275 Sub-Saharan Africa 2010
## 1830 2276 Sub-Saharan Africa 2010
## 1831 2278 Sub-Saharan Africa 2010
## 1832 2279 Sub-Saharan Africa 2010
## 1833 2280 Sub-Saharan Africa 2010
## 1834 2282 Sub-Saharan Africa 2010
## 1835 2284 Sub-Saharan Africa 2010
## 1836 2285 Sub-Saharan Africa 2010
## 1837 2286 Sub-Saharan Africa 2010
## 1838 2287 Sub-Saharan Africa 2010
## 1839 2288 Sub-Saharan Africa 2010
## 1840 2289 Sub-Saharan Africa 2010
## 1841 2291 Sub-Saharan Africa 2010
## 1842 2292 Sub-Saharan Africa 2010
## 1843 2294 Sub-Saharan Africa 2010
## 1844 2295 Sub-Saharan Africa 2010
## 1845 2296 Sub-Saharan Africa 2010
## 1846 2297 Sub-Saharan Africa 2010
## 1847 2299 Sub-Saharan Africa 2010
## 1848 2301 Sub-Saharan Africa 2010
## 1849 2302 Sub-Saharan Africa 2010
## 1850 2303 Sub-Saharan Africa 2010
## 1851 2304 Sub-Saharan Africa 2010
## 1852 2305 Sub-Saharan Africa 2010
## 1853 2306 Sub-Saharan Africa 2010
## 1854 2307 Sub-Saharan Africa 2010
## 1855 2308 Sub-Saharan Africa 2010
## 1856 2309 Sub-Saharan Africa 2010
## 1857 2310 Sub-Saharan Africa 2010
## 1858 2311 Sub-Saharan Africa 2010
## 1859 2313 Sub-Saharan Africa 2010
## 1860 2315 Sub-Saharan Africa 2011
## 1861 2316 Sub-Saharan Africa 2011
## 1862 2317 Sub-Saharan Africa 2011
## 1863 2318 Sub-Saharan Africa 2011
## 1864 2320 Sub-Saharan Africa 2011
## 1865 2321 Sub-Saharan Africa 2011
## 1866 2322 Sub-Saharan Africa 2011
## 1867 2323 Sub-Saharan Africa 2011
## 1868 2325 Sub-Saharan Africa 2011
## 1869 2326 Sub-Saharan Africa 2011
## 1870 2327 Sub-Saharan Africa 2011
## 1871 2328 Sub-Saharan Africa 2011
## 1872 2329 Sub-Saharan Africa 2011
## 1873 2331 Sub-Saharan Africa 2011
## 1874 2332 Sub-Saharan Africa 2011
## 1875 2334 Sub-Saharan Africa 2011
## 1876 2335 Sub-Saharan Africa 2011
## 1877 2336 Sub-Saharan Africa 2011
## 1878 2337 Sub-Saharan Africa 2011
## 1879 2338 Sub-Saharan Africa 2011
## 1880 2339 Sub-Saharan Africa 2011
## 1881 2340 Sub-Saharan Africa 2011
## 1882 2341 Sub-Saharan Africa 2011
## 1883 2343 Sub-Saharan Africa 2011
## 1884 2345 Sub-Saharan Africa 2011
## 1885 2346 Sub-Saharan Africa 2011
## 1886 2348 Sub-Saharan Africa 2011
## 1887 2349 Sub-Saharan Africa 2011
## 1888 2350 Sub-Saharan Africa 2011
## 1889 2352 Sub-Saharan Africa 2011
## 1890 2355 Sub-Saharan Africa 2011
## 1891 2356 Sub-Saharan Africa 2011
## 1892 2357 Sub-Saharan Africa 2011
## 1893 2358 Sub-Saharan Africa 2011
## 1894 2359 Sub-Saharan Africa 2011
## 1895 2361 Sub-Saharan Africa 2011
## 1896 2362 Sub-Saharan Africa 2012
## 1897 2364 Sub-Saharan Africa 2012
## 1898 2365 Sub-Saharan Africa 2012
## 1899 2366 Sub-Saharan Africa 2012
## 1900 2367 Sub-Saharan Africa 2012
## 1901 2368 Sub-Saharan Africa 2012
## 1902 2369 Sub-Saharan Africa 2012
## 1903 2370 Sub-Saharan Africa 2012
## 1904 2371 Sub-Saharan Africa 2012
## 1905 2379 Sub-Saharan Africa 2012
## 1906 2380 Sub-Saharan Africa 2012
## 1907 2381 Sub-Saharan Africa 2012
## 1908 2382 Sub-Saharan Africa 2012
## 1909 2383 Sub-Saharan Africa 2012
## 1910 2384 Sub-Saharan Africa 2012
## 1911 2385 Sub-Saharan Africa 2012
## 1912 2386 Sub-Saharan Africa 2012
## 1913 2387 Sub-Saharan Africa 2012
## 1914 2388 Sub-Saharan Africa 2012
## 1915 2390 Sub-Saharan Africa 2012
## 1916 2391 Sub-Saharan Africa 2012
## 1917 2392 Sub-Saharan Africa 2012
## 1918 2393 Sub-Saharan Africa 2012
## 1919 2394 Sub-Saharan Africa 2012
## 1920 2395 Sub-Saharan Africa 2012
## 1921 2396 Sub-Saharan Africa 2012
## 1922 2397 Sub-Saharan Africa 2012
## 1923 2398 Sub-Saharan Africa 2012
## 1924 2399 Sub-Saharan Africa 2012
## 1925 2400 Sub-Saharan Africa 2012
## 1926 2401 Sub-Saharan Africa 2012
## 1927 2403 Sub-Saharan Africa 2012
## 1928 2405 Sub-Saharan Africa 2012
## 1929 2406 Sub-Saharan Africa 2012
## 1930 2407 Sub-Saharan Africa 2012
## 1931 2408 Sub-Saharan Africa 2012
## 1932 2409 Sub-Saharan Africa 2012
## 1933 2410 Sub-Saharan Africa 2013
## 1934 2411 Sub-Saharan Africa 2013
## 1935 2412 Sub-Saharan Africa 2013
## 1936 2413 Sub-Saharan Africa 2013
## 1937 2414 Sub-Saharan Africa 2013
## 1938 2415 Sub-Saharan Africa 2013
## 1939 2416 Sub-Saharan Africa 2013
## 1940 2417 Sub-Saharan Africa 2013
## 1941 2418 Sub-Saharan Africa 2013
## 1942 2419 Sub-Saharan Africa 2013
## 1943 2420 Sub-Saharan Africa 2013
## 1944 2421 Sub-Saharan Africa 2013
## 1945 2422 Sub-Saharan Africa 2013
## 1946 2424 Sub-Saharan Africa 2013
## 1947 2427 Sub-Saharan Africa 2013
## 1948 2428 Sub-Saharan Africa 2013
## 1949 2431 Sub-Saharan Africa 2013
## 1950 2433 Sub-Saharan Africa 2013
## 1951 2435 Sub-Saharan Africa 2013
## 1952 2437 Sub-Saharan Africa 2013
## 1953 2438 Sub-Saharan Africa 2013
## 1954 2439 Sub-Saharan Africa 2013
## 1955 2440 Sub-Saharan Africa 2013
## 1956 2441 Sub-Saharan Africa 2013
## 1957 2442 Sub-Saharan Africa 2013
## 1958 2443 Sub-Saharan Africa 2013
## 1959 2445 Sub-Saharan Africa 2013
## 1960 2446 Sub-Saharan Africa 2013
## 1961 2447 Sub-Saharan Africa 2013
## 1962 2448 Sub-Saharan Africa 2013
## 1963 2449 Sub-Saharan Africa 2013
## 1964 2450 Sub-Saharan Africa 2013
## 1965 2451 Sub-Saharan Africa 2013
## 1966 2452 Sub-Saharan Africa 2013
## 1967 2453 Sub-Saharan Africa 2013
## 1968 2454 Sub-Saharan Africa 2013
## 1969 2455 Sub-Saharan Africa 2013
## 1970 2457 Sub-Saharan Africa 2013
## 1971 2458 Sub-Saharan Africa 2014
## 1972 2459 Sub-Saharan Africa 2014
## 1973 2460 Sub-Saharan Africa 2014
## 1974 2462 Sub-Saharan Africa 2014
## 1975 2464 Sub-Saharan Africa 2014
## 1976 2465 Sub-Saharan Africa 2014
## 1977 2466 Sub-Saharan Africa 2014
## 1978 2468 Sub-Saharan Africa 2014
## 1979 2469 Sub-Saharan Africa 2014
## 1980 2470 Sub-Saharan Africa 2014
## 1981 2471 Sub-Saharan Africa 2014
## 1982 2472 Sub-Saharan Africa 2014
## 1983 2473 Sub-Saharan Africa 2014
## 1984 2474 Sub-Saharan Africa 2014
## 1985 2475 Sub-Saharan Africa 2014
## 1986 2476 Sub-Saharan Africa 2014
## 1987 2478 Sub-Saharan Africa 2014
## 1988 2479 Sub-Saharan Africa 2014
## 1989 2480 Sub-Saharan Africa 2014
## 1990 2481 Sub-Saharan Africa 2014
## 1991 2486 Sub-Saharan Africa 2014
## 1992 2487 Sub-Saharan Africa 2014
## 1993 2488 Sub-Saharan Africa 2014
## 1994 2489 Sub-Saharan Africa 2014
## 1995 2490 Sub-Saharan Africa 2014
## 1996 2491 Sub-Saharan Africa 2014
## 1997 2494 Sub-Saharan Africa 2014
## 1998 2495 Sub-Saharan Africa 2014
## 1999 2497 Sub-Saharan Africa 2014
## 2000 2498 Sub-Saharan Africa 2014
## 2001 2500 Sub-Saharan Africa 2014
## 2002 2502 Sub-Saharan Africa 2014
## 2003 2503 Sub-Saharan Africa 2014
## 2004 2504 Sub-Saharan Africa 2014
## 2005 2505 Sub-Saharan Africa 2014
## 2006 2506 Sub-Saharan Africa 2015
## 2007 2507 Sub-Saharan Africa 2015
## 2008 2508 Sub-Saharan Africa 2015
## 2009 2509 Sub-Saharan Africa 2015
## 2010 2510 Sub-Saharan Africa 2015
## 2011 2511 Sub-Saharan Africa 2015
## 2012 2514 Sub-Saharan Africa 2015
## 2013 2516 Sub-Saharan Africa 2015
## 2014 2517 Sub-Saharan Africa 2015
## 2015 2518 Sub-Saharan Africa 2015
## 2016 2519 Sub-Saharan Africa 2015
## 2017 2520 Sub-Saharan Africa 2015
## 2018 2521 Sub-Saharan Africa 2015
## 2019 2522 Sub-Saharan Africa 2015
## 2020 2523 Sub-Saharan Africa 2015
## 2021 2524 Sub-Saharan Africa 2015
## 2022 2525 Sub-Saharan Africa 2015
## 2023 2526 Sub-Saharan Africa 2015
## 2024 2527 Sub-Saharan Africa 2015
## 2025 2528 Sub-Saharan Africa 2015
## 2026 2529 Sub-Saharan Africa 2015
## 2027 2531 Sub-Saharan Africa 2015
## 2028 2532 Sub-Saharan Africa 2015
## 2029 2533 Sub-Saharan Africa 2015
## 2030 2534 Sub-Saharan Africa 2015
## 2031 2537 Sub-Saharan Africa 2015
## 2032 2538 Sub-Saharan Africa 2015
## 2033 2539 Sub-Saharan Africa 2015
## 2034 2540 Sub-Saharan Africa 2015
## 2035 2541 Sub-Saharan Africa 2015
## 2036 2542 Sub-Saharan Africa 2015
## 2037 2543 Sub-Saharan Africa 2015
## 2038 2544 Sub-Saharan Africa 2015
## 2039 2545 Sub-Saharan Africa 2015
## 2040 2546 Sub-Saharan Africa 2015
## 2041 2548 Sub-Saharan Africa 2015
## 2042 2551 Sub-Saharan Africa 2015
## 2043 2552 Sub-Saharan Africa 2015
## 2044 2553 Sub-Saharan Africa 2015
## 2045 2554 Western Asia 2000
## 2046 2555 Western Asia 2000
## 2047 2556 Western Asia 2000
## 2048 2557 Western Asia 2000
## 2049 2558 Western Asia 2000
## 2050 2560 Western Asia 2000
## 2051 2562 Western Asia 2000
## 2052 2563 Western Asia 2000
## 2053 2564 Western Asia 2000
## 2054 2565 Western Asia 2000
## 2055 2566 Western Asia 2000
## 2056 2567 Western Asia 2000
## 2057 2568 Western Asia 2000
## 2058 2569 Western Asia 2000
## 2059 2570 Western Asia 2000
## 2060 2571 Western Asia 2001
## 2061 2572 Western Asia 2001
## 2062 2573 Western Asia 2001
## 2063 2574 Western Asia 2001
## 2064 2575 Western Asia 2001
## 2065 2577 Western Asia 2001
## 2066 2579 Western Asia 2001
## 2067 2581 Western Asia 2001
## 2068 2582 Western Asia 2001
## 2069 2583 Western Asia 2001
## 2070 2584 Western Asia 2001
## 2071 2585 Western Asia 2001
## 2072 2586 Western Asia 2001
## 2073 2587 Western Asia 2001
## 2074 2588 Western Asia 2002
## 2075 2589 Western Asia 2002
## 2076 2590 Western Asia 2002
## 2077 2591 Western Asia 2002
## 2078 2592 Western Asia 2002
## 2079 2594 Western Asia 2002
## 2080 2596 Western Asia 2002
## 2081 2598 Western Asia 2002
## 2082 2599 Western Asia 2002
## 2083 2600 Western Asia 2002
## 2084 2602 Western Asia 2002
## 2085 2603 Western Asia 2002
## 2086 2605 Western Asia 2003
## 2087 2606 Western Asia 2003
## 2088 2607 Western Asia 2003
## 2089 2608 Western Asia 2003
## 2090 2609 Western Asia 2003
## 2091 2611 Western Asia 2003
## 2092 2612 Western Asia 2003
## 2093 2613 Western Asia 2003
## 2094 2614 Western Asia 2003
## 2095 2615 Western Asia 2003
## 2096 2616 Western Asia 2003
## 2097 2617 Western Asia 2003
## 2098 2618 Western Asia 2003
## 2099 2619 Western Asia 2003
## 2100 2620 Western Asia 2003
## 2101 2621 Western Asia 2003
## 2102 2622 Western Asia 2004
## 2103 2623 Western Asia 2004
## 2104 2626 Western Asia 2004
## 2105 2627 Western Asia 2004
## 2106 2628 Western Asia 2004
## 2107 2629 Western Asia 2004
## 2108 2631 Western Asia 2004
## 2109 2632 Western Asia 2004
## 2110 2633 Western Asia 2004
## 2111 2634 Western Asia 2004
## 2112 2636 Western Asia 2004
## 2113 2637 Western Asia 2004
## 2114 2638 Western Asia 2004
## 2115 2639 Western Asia 2005
## 2116 2640 Western Asia 2005
## 2117 2642 Western Asia 2005
## 2118 2643 Western Asia 2005
## 2119 2644 Western Asia 2005
## 2120 2645 Western Asia 2005
## 2121 2647 Western Asia 2005
## 2122 2648 Western Asia 2005
## 2123 2649 Western Asia 2005
## 2124 2650 Western Asia 2005
## 2125 2651 Western Asia 2005
## 2126 2653 Western Asia 2005
## 2127 2654 Western Asia 2005
## 2128 2655 Western Asia 2005
## 2129 2656 Western Asia 2006
## 2130 2657 Western Asia 2006
## 2131 2659 Western Asia 2006
## 2132 2660 Western Asia 2006
## 2133 2663 Western Asia 2006
## 2134 2664 Western Asia 2006
## 2135 2665 Western Asia 2006
## 2136 2666 Western Asia 2006
## 2137 2669 Western Asia 2006
## 2138 2670 Western Asia 2006
## 2139 2671 Western Asia 2006
## 2140 2674 Western Asia 2007
## 2141 2675 Western Asia 2007
## 2142 2676 Western Asia 2007
## 2143 2677 Western Asia 2007
## 2144 2679 Western Asia 2007
## 2145 2680 Western Asia 2007
## 2146 2681 Western Asia 2007
## 2147 2682 Western Asia 2007
## 2148 2683 Western Asia 2007
## 2149 2685 Western Asia 2007
## 2150 2686 Western Asia 2007
## 2151 2687 Western Asia 2007
## 2152 2688 Western Asia 2007
## 2153 2689 Western Asia 2007
## 2154 2691 Western Asia 2008
## 2155 2692 Western Asia 2008
## 2156 2694 Western Asia 2008
## 2157 2695 Western Asia 2008
## 2158 2699 Western Asia 2008
## 2159 2700 Western Asia 2008
## 2160 2701 Western Asia 2008
## 2161 2702 Western Asia 2008
## 2162 2703 Western Asia 2008
## 2163 2704 Western Asia 2008
## 2164 2705 Western Asia 2008
## 2165 2706 Western Asia 2008
## 2166 2708 Western Asia 2009
## 2167 2709 Western Asia 2009
## 2168 2710 Western Asia 2009
## 2169 2711 Western Asia 2009
## 2170 2712 Western Asia 2009
## 2171 2713 Western Asia 2009
## 2172 2714 Western Asia 2009
## 2173 2715 Western Asia 2009
## 2174 2716 Western Asia 2009
## 2175 2717 Western Asia 2009
## 2176 2718 Western Asia 2009
## 2177 2719 Western Asia 2009
## 2178 2721 Western Asia 2009
## 2179 2722 Western Asia 2009
## 2180 2723 Western Asia 2009
## 2181 2724 Western Asia 2010
## 2182 2725 Western Asia 2010
## 2183 2726 Western Asia 2010
## 2184 2727 Western Asia 2010
## 2185 2728 Western Asia 2010
## 2186 2729 Western Asia 2010
## 2187 2730 Western Asia 2010
## 2188 2731 Western Asia 2010
## 2189 2733 Western Asia 2010
## 2190 2734 Western Asia 2010
## 2191 2735 Western Asia 2010
## 2192 2736 Western Asia 2010
## 2193 2737 Western Asia 2010
## 2194 2742 Western Asia 2011
## 2195 2743 Western Asia 2011
## 2196 2744 Western Asia 2011
## 2197 2745 Western Asia 2011
## 2198 2746 Western Asia 2011
## 2199 2747 Western Asia 2011
## 2200 2748 Western Asia 2011
## 2201 2749 Western Asia 2011
## 2202 2750 Western Asia 2011
## 2203 2751 Western Asia 2011
## 2204 2752 Western Asia 2011
## 2205 2753 Western Asia 2011
## 2206 2754 Western Asia 2011
## 2207 2756 Western Asia 2011
## 2208 2758 Western Asia 2012
## 2209 2759 Western Asia 2012
## 2210 2760 Western Asia 2012
## 2211 2762 Western Asia 2012
## 2212 2764 Western Asia 2012
## 2213 2765 Western Asia 2012
## 2214 2766 Western Asia 2012
## 2215 2767 Western Asia 2012
## 2216 2769 Western Asia 2012
## 2217 2770 Western Asia 2012
## 2218 2772 Western Asia 2012
## 2219 2774 Western Asia 2012
## 2220 2775 Western Asia 2013
## 2221 2776 Western Asia 2013
## 2222 2777 Western Asia 2013
## 2223 2778 Western Asia 2013
## 2224 2780 Western Asia 2013
## 2225 2782 Western Asia 2013
## 2226 2784 Western Asia 2013
## 2227 2786 Western Asia 2013
## 2228 2787 Western Asia 2013
## 2229 2788 Western Asia 2013
## 2230 2789 Western Asia 2013
## 2231 2790 Western Asia 2013
## 2232 2791 Western Asia 2013
## 2233 2794 Western Asia 2014
## 2234 2795 Western Asia 2014
## 2235 2797 Western Asia 2014
## 2236 2799 Western Asia 2014
## 2237 2800 Western Asia 2014
## 2238 2801 Western Asia 2014
## 2239 2805 Western Asia 2014
## 2240 2807 Western Asia 2014
## 2241 2808 Western Asia 2014
## 2242 2809 Western Asia 2015
## 2243 2810 Western Asia 2015
## 2244 2811 Western Asia 2015
## 2245 2812 Western Asia 2015
## 2246 2813 Western Asia 2015
## 2247 2814 Western Asia 2015
## 2248 2815 Western Asia 2015
## 2249 2818 Western Asia 2015
## 2250 2819 Western Asia 2015
## 2251 2821 Western Asia 2015
## 2252 2822 Western Asia 2015
## 2253 2823 Western Asia 2015
## 2254 2824 Western Asia 2015
## 2255 2825 Western Asia 2015
## 2256 2826 Western Europe 2000
## 2257 2827 Western Europe 2000
## 2258 2828 Western Europe 2000
## 2259 2829 Western Europe 2000
## 2260 2831 Western Europe 2000
## 2261 2832 Western Europe 2000
## 2262 2833 Western Europe 2001
## 2263 2834 Western Europe 2001
## 2264 2835 Western Europe 2001
## 2265 2836 Western Europe 2001
## 2266 2837 Western Europe 2001
## 2267 2838 Western Europe 2001
## 2268 2839 Western Europe 2001
## 2269 2840 Western Europe 2002
## 2270 2842 Western Europe 2002
## 2271 2843 Western Europe 2002
## 2272 2844 Western Europe 2002
## 2273 2845 Western Europe 2002
## 2274 2846 Western Europe 2002
## 2275 2847 Western Europe 2003
## 2276 2848 Western Europe 2003
## 2277 2850 Western Europe 2003
## 2278 2853 Western Europe 2003
## 2279 2854 Western Europe 2004
## 2280 2855 Western Europe 2004
## 2281 2856 Western Europe 2004
## 2282 2857 Western Europe 2004
## 2283 2859 Western Europe 2004
## 2284 2860 Western Europe 2004
## 2285 2861 Western Europe 2005
## 2286 2862 Western Europe 2005
## 2287 2863 Western Europe 2005
## 2288 2864 Western Europe 2005
## 2289 2865 Western Europe 2005
## 2290 2866 Western Europe 2005
## 2291 2867 Western Europe 2005
## 2292 2868 Western Europe 2006
## 2293 2869 Western Europe 2006
## 2294 2870 Western Europe 2006
## 2295 2871 Western Europe 2006
## 2296 2872 Western Europe 2006
## 2297 2873 Western Europe 2006
## 2298 2874 Western Europe 2006
## 2299 2875 Western Europe 2007
## 2300 2876 Western Europe 2007
## 2301 2877 Western Europe 2007
## 2302 2878 Western Europe 2007
## 2303 2879 Western Europe 2007
## 2304 2880 Western Europe 2007
## 2305 2881 Western Europe 2007
## 2306 2882 Western Europe 2008
## 2307 2884 Western Europe 2008
## 2308 2885 Western Europe 2008
## 2309 2886 Western Europe 2008
## 2310 2887 Western Europe 2008
## 2311 2889 Western Europe 2009
## 2312 2890 Western Europe 2009
## 2313 2891 Western Europe 2009
## 2314 2893 Western Europe 2009
## 2315 2894 Western Europe 2009
## 2316 2895 Western Europe 2009
## 2317 2898 Western Europe 2010
## 2318 2901 Western Europe 2010
## 2319 2902 Western Europe 2010
## 2320 2903 Western Europe 2011
## 2321 2904 Western Europe 2011
## 2322 2905 Western Europe 2011
## 2323 2906 Western Europe 2011
## 2324 2908 Western Europe 2011
## 2325 2909 Western Europe 2011
## 2326 2910 Western Europe 2012
## 2327 2911 Western Europe 2012
## 2328 2912 Western Europe 2012
## 2329 2913 Western Europe 2012
## 2330 2914 Western Europe 2012
## 2331 2915 Western Europe 2012
## 2332 2916 Western Europe 2012
## 2333 2917 Western Europe 2013
## 2334 2918 Western Europe 2013
## 2335 2919 Western Europe 2013
## 2336 2920 Western Europe 2013
## 2337 2922 Western Europe 2013
## 2338 2924 Western Europe 2013
## 2339 2925 Western Europe 2014
## 2340 2926 Western Europe 2014
## 2341 2927 Western Europe 2014
## 2342 2928 Western Europe 2014
## 2343 2929 Western Europe 2014
## 2344 2930 Western Europe 2014
## 2345 2931 Western Europe 2014
## 2346 2933 Western Europe 2015
## 2347 2934 Western Europe 2015
## 2348 2935 Western Europe 2015
## 2349 2937 Western Europe 2015
## 2350 2938 Western Europe 2015
## Country Status
## 1 New Zealand Developed
## 2 Australia Developed
## 3 Australia Developed
## 4 New Zealand Developed
## 5 New Zealand Developed
## 6 Australia Developed
## 7 Australia Developed
## 8 New Zealand Developed
## 9 Australia Developed
## 10 New Zealand Developed
## 11 New Zealand Developed
## 12 Australia Developed
## 13 New Zealand Developed
## 14 Australia Developed
## 15 Australia Developed
## 16 Australia Developed
## 17 New Zealand Developed
## 18 New Zealand Developed
## 19 Australia Developed
## 20 New Zealand Developed
## 21 New Zealand Developed
## 22 Australia Developed
## 23 New Zealand Developed
## 24 Australia Developed
## 25 New Zealand Developed
## 26 New Zealand Developed
## 27 Australia Developed
## 28 Kyrgyzstan Developing
## 29 Turkmenistan Developing
## 30 Kazakhstan Developing
## 31 Tajikistan Developing
## 32 Kazakhstan Developing
## 33 Tajikistan Developing
## 34 Turkmenistan Developing
## 35 Uzbekistan Developing
## 36 Uzbekistan Developing
## 37 Turkmenistan Developing
## 38 Tajikistan Developing
## 39 Uzbekistan Developing
## 40 Kyrgyzstan Developing
## 41 Kazakhstan Developing
## 42 Turkmenistan Developing
## 43 Kyrgyzstan Developing
## 44 Tajikistan Developing
## 45 Turkmenistan Developing
## 46 Kazakhstan Developing
## 47 Tajikistan Developing
## 48 Kyrgyzstan Developing
## 49 Uzbekistan Developing
## 50 Tajikistan Developing
## 51 Kazakhstan Developing
## 52 Turkmenistan Developing
## 53 Turkmenistan Developing
## 54 Kyrgyzstan Developing
## 55 Kazakhstan Developing
## 56 Uzbekistan Developing
## 57 Tajikistan Developing
## 58 Uzbekistan Developing
## 59 Kazakhstan Developing
## 60 Kyrgyzstan Developing
## 61 Tajikistan Developing
## 62 Turkmenistan Developing
## 63 Kazakhstan Developing
## 64 Kyrgyzstan Developing
## 65 Turkmenistan Developing
## 66 Tajikistan Developing
## 67 Uzbekistan Developing
## 68 Turkmenistan Developing
## 69 Tajikistan Developing
## 70 Kyrgyzstan Developing
## 71 Uzbekistan Developing
## 72 Turkmenistan Developing
## 73 Kazakhstan Developing
## 74 Kyrgyzstan Developing
## 75 Turkmenistan Developing
## 76 Kazakhstan Developing
## 77 Tajikistan Developing
## 78 Uzbekistan Developing
## 79 Kyrgyzstan Developing
## 80 Turkmenistan Developing
## 81 Uzbekistan Developing
## 82 Kazakhstan Developing
## 83 Uzbekistan Developing
## 84 Tajikistan Developing
## 85 Kazakhstan Developing
## 86 Turkmenistan Developing
## 87 Kyrgyzstan Developing
## 88 Uzbekistan Developing
## 89 China Developing
## 90 Republic of Korea Developing
## 91 Japan Developed
## 92 Mongolia Developing
## 93 China Developing
## 94 Japan Developed
## 95 Republic of Korea Developing
## 96 Republic of Korea Developing
## 97 Mongolia Developing
## 98 Japan Developed
## 99 Mongolia Developing
## 100 China Developing
## 101 Democratic People's Republic of Korea Developing
## 102 Republic of Korea Developing
## 103 Democratic People's Republic of Korea Developing
## 104 Japan Developed
## 105 Mongolia Developing
## 106 Republic of Korea Developing
## 107 Mongolia Developing
## 108 Japan Developed
## 109 Democratic People's Republic of Korea Developing
## 110 Japan Developed
## 111 Mongolia Developing
## 112 Republic of Korea Developing
## 113 China Developing
## 114 Democratic People's Republic of Korea Developing
## 115 Democratic People's Republic of Korea Developing
## 116 Mongolia Developing
## 117 Republic of Korea Developing
## 118 Republic of Korea Developing
## 119 Japan Developed
## 120 China Developing
## 121 Democratic People's Republic of Korea Developing
## 122 Mongolia Developing
## 123 Japan Developed
## 124 Democratic People's Republic of Korea Developing
## 125 Mongolia Developing
## 126 Japan Developed
## 127 Republic of Korea Developing
## 128 Mongolia Developing
## 129 Democratic People's Republic of Korea Developing
## 130 China Developing
## 131 Republic of Korea Developing
## 132 Japan Developed
## 133 China Developing
## 134 Mongolia Developing
## 135 Republic of Korea Developing
## 136 Democratic People's Republic of Korea Developing
## 137 Japan Developed
## 138 China Developing
## 139 Mongolia Developing
## 140 Japan Developed
## 141 Republic of Korea Developing
## 142 Democratic People's Republic of Korea Developing
## 143 Japan Developed
## 144 Republic of Korea Developing
## 145 Mongolia Developing
## 146 China Developing
## 147 Democratic People's Republic of Korea Developing
## 148 China Developing
## 149 Mongolia Developing
## 150 Republic of Korea Developing
## 151 Japan Developed
## 152 Czechia Developed
## 153 Poland Developed
## 154 Hungary Developed
## 155 Russian Federation Developing
## 156 Republic of Moldova Developing
## 157 Ukraine Developing
## 158 Slovakia Developed
## 159 Belarus Developing
## 160 Bulgaria Developed
## 161 Romania Developed
## 162 Russian Federation Developing
## 163 Romania Developed
## 164 Republic of Moldova Developing
## 165 Belarus Developing
## 166 Czechia Developed
## 167 Ukraine Developing
## 168 Bulgaria Developed
## 169 Poland Developed
## 170 Hungary Developed
## 171 Slovakia Developed
## 172 Republic of Moldova Developing
## 173 Slovakia Developed
## 174 Czechia Developed
## 175 Ukraine Developing
## 176 Belarus Developing
## 177 Poland Developed
## 178 Romania Developed
## 179 Belarus Developing
## 180 Ukraine Developing
## 181 Czechia Developed
## 182 Hungary Developed
## 183 Slovakia Developed
## 184 Romania Developed
## 185 Bulgaria Developed
## 186 Russian Federation Developing
## 187 Republic of Moldova Developing
## 188 Poland Developed
## 189 Belarus Developing
## 190 Bulgaria Developed
## 191 Russian Federation Developing
## 192 Hungary Developed
## 193 Slovakia Developed
## 194 Republic of Moldova Developing
## 195 Romania Developed
## 196 Ukraine Developing
## 197 Poland Developed
## 198 Czechia Developed
## 199 Slovakia Developed
## 200 Bulgaria Developed
## 201 Poland Developed
## 202 Hungary Developed
## 203 Ukraine Developing
## 204 Russian Federation Developing
## 205 Romania Developed
## 206 Hungary Developed
## 207 Belarus Developing
## 208 Republic of Moldova Developing
## 209 Slovakia Developed
## 210 Poland Developed
## 211 Ukraine Developing
## 212 Czechia Developed
## 213 Russian Federation Developing
## 214 Bulgaria Developed
## 215 Republic of Moldova Developing
## 216 Czechia Developed
## 217 Bulgaria Developed
## 218 Romania Developed
## 219 Poland Developed
## 220 Belarus Developing
## 221 Slovakia Developed
## 222 Russian Federation Developing
## 223 Ukraine Developing
## 224 Bulgaria Developed
## 225 Belarus Developing
## 226 Hungary Developed
## 227 Slovakia Developed
## 228 Romania Developed
## 229 Poland Developed
## 230 Russian Federation Developing
## 231 Hungary Developed
## 232 Poland Developed
## 233 Bulgaria Developed
## 234 Czechia Developed
## 235 Slovakia Developed
## 236 Republic of Moldova Developing
## 237 Ukraine Developing
## 238 Russian Federation Developing
## 239 Ukraine Developing
## 240 Belarus Developing
## 241 Hungary Developed
## 242 Slovakia Developed
## 243 Romania Developed
## 244 Republic of Moldova Developing
## 245 Bulgaria Developed
## 246 Russian Federation Developing
## 247 Romania Developed
## 248 Slovakia Developed
## 249 Poland Developed
## 250 Ukraine Developing
## 251 Belarus Developing
## 252 Republic of Moldova Developing
## 253 Czechia Developed
## 254 Hungary Developed
## 255 Belarus Developing
## 256 Slovakia Developed
## 257 Czechia Developed
## 258 Ukraine Developing
## 259 Republic of Moldova Developing
## 260 Hungary Developed
## 261 Czechia Developed
## 262 Republic of Moldova Developing
## 263 Russian Federation Developing
## 264 Ukraine Developing
## 265 Belarus Developing
## 266 Bulgaria Developed
## 267 Poland Developed
## 268 Romania Developed
## 269 Russian Federation Developing
## 270 Romania Developed
## 271 Poland Developed
## 272 Bulgaria Developed
## 273 Hungary Developed
## 274 Republic of Moldova Developing
## 275 Ukraine Developing
## 276 Hungary Developed
## 277 Czechia Developed
## 278 Slovakia Developed
## 279 Republic of Moldova Developing
## 280 Russian Federation Developing
## 281 Poland Developed
## 282 Romania Developed
## 283 Belarus Developing
## 284 El Salvador Developing
## 285 Haiti Developing
## 286 Cuba Developing
## 287 Colombia Developing
## 288 Belize Developing
## 289 Suriname Developing
## 290 Paraguay Developing
## 291 Barbados Developing
## 292 Jamaica Developing
## 293 Nicaragua Developing
## 294 Trinidad and Tobago Developing
## 295 Saint Lucia Developing
## 296 Antigua and Barbuda Developing
## 297 Venezuela (Bolivarian Republic of) Developing
## 298 Honduras Developing
## 299 Grenada Developing
## 300 Peru Developing
## 301 Chile Developing
## 302 Guatemala Developing
## 303 Brazil Developing
## 304 Bolivia (Plurinational State of) Developing
## 305 Ecuador Developing
## 306 Panama Developing
## 307 Barbados Developing
## 308 Uruguay Developing
## 309 Paraguay Developing
## 310 Argentina Developing
## 311 Antigua and Barbuda Developing
## 312 Belize Developing
## 313 El Salvador Developing
## 314 Haiti Developing
## 315 Guyana Developing
## 316 Guatemala Developing
## 317 Jamaica Developing
## 318 Colombia Developing
## 319 Mexico Developing
## 320 Saint Vincent and the Grenadines Developing
## 321 Chile Developing
## 322 Trinidad and Tobago Developing
## 323 Costa Rica Developing
## 324 Grenada Developing
## 325 Nicaragua Developing
## 326 Venezuela (Bolivarian Republic of) Developing
## 327 Peru Developing
## 328 Saint Lucia Developing
## 329 Dominican Republic Developing
## 330 Honduras Developing
## 331 Jamaica Developing
## 332 Belize Developing
## 333 Guyana Developing
## 334 El Salvador Developing
## 335 Barbados Developing
## 336 Paraguay Developing
## 337 Panama Developing
## 338 Chile Developing
## 339 Argentina Developing
## 340 Mexico Developing
## 341 Suriname Developing
## 342 Uruguay Developing
## 343 Costa Rica Developing
## 344 Colombia Developing
## 345 Brazil Developing
## 346 Saint Vincent and the Grenadines Developing
## 347 Grenada Developing
## 348 Nicaragua Developing
## 349 Saint Lucia Developing
## 350 Haiti Developing
## 351 Honduras Developing
## 352 Peru Developing
## 353 Ecuador Developing
## 354 Venezuela (Bolivarian Republic of) Developing
## 355 Bolivia (Plurinational State of) Developing
## 356 Grenada Developing
## 357 Cuba Developing
## 358 Costa Rica Developing
## 359 Jamaica Developing
## 360 Belize Developing
## 361 Panama Developing
## 362 Guyana Developing
## 363 Guatemala Developing
## 364 Honduras Developing
## 365 Barbados Developing
## 366 Mexico Developing
## 367 Ecuador Developing
## 368 Chile Developing
## 369 Argentina Developing
## 370 Bahamas Developing
## 371 Peru Developing
## 372 Suriname Developing
## 373 Nicaragua Developing
## 374 Antigua and Barbuda Developing
## 375 Colombia Developing
## 376 Venezuela (Bolivarian Republic of) Developing
## 377 Dominican Republic Developing
## 378 Saint Vincent and the Grenadines Developing
## 379 Trinidad and Tobago Developing
## 380 Jamaica Developing
## 381 Chile Developing
## 382 Guyana Developing
## 383 Nicaragua Developing
## 384 Brazil Developing
## 385 Barbados Developing
## 386 Honduras Developing
## 387 Saint Lucia Developing
## 388 Antigua and Barbuda Developing
## 389 Bolivia (Plurinational State of) Developing
## 390 Mexico Developing
## 391 Belize Developing
## 392 Suriname Developing
## 393 Guatemala Developing
## 394 Grenada Developing
## 395 Uruguay Developing
## 396 Dominican Republic Developing
## 397 Saint Vincent and the Grenadines Developing
## 398 Costa Rica Developing
## 399 Haiti Developing
## 400 Nicaragua Developing
## 401 Ecuador Developing
## 402 Honduras Developing
## 403 El Salvador Developing
## 404 Bahamas Developing
## 405 Costa Rica Developing
## 406 Mexico Developing
## 407 Dominican Republic Developing
## 408 Venezuela (Bolivarian Republic of) Developing
## 409 Trinidad and Tobago Developing
## 410 Bolivia (Plurinational State of) Developing
## 411 Saint Lucia Developing
## 412 Guatemala Developing
## 413 Peru Developing
## 414 Brazil Developing
## 415 Barbados Developing
## 416 Jamaica Developing
## 417 Haiti Developing
## 418 Argentina Developing
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## 420 Paraguay Developing
## 421 Saint Vincent and the Grenadines Developing
## 422 Colombia Developing
## 423 Uruguay Developing
## 424 Uruguay Developing
## 425 Haiti Developing
## 426 Honduras Developing
## 427 Panama Developing
## 428 Dominican Republic Developing
## 429 Nicaragua Developing
## 430 Trinidad and Tobago Developing
## 431 Bahamas Developing
## 432 Bolivia (Plurinational State of) Developing
## 433 Jamaica Developing
## 434 Saint Lucia Developing
## 435 Peru Developing
## 436 Barbados Developing
## 437 Brazil Developing
## 438 Grenada Developing
## 439 Guyana Developing
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## 441 Cuba Developing
## 442 Argentina Developing
## 443 Costa Rica Developing
## 444 Antigua and Barbuda Developing
## 445 Paraguay Developing
## 446 Guatemala Developing
## 447 Belize Developing
## 448 Colombia Developing
## 449 Venezuela (Bolivarian Republic of) Developing
## 450 Chile Developing
## 451 Argentina Developing
## 452 Chile Developing
## 453 Costa Rica Developing
## 454 Dominican Republic Developing
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## 457 Suriname Developing
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## 465 Paraguay Developing
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## 469 Antigua and Barbuda Developing
## 470 Mexico Developing
## 471 Haiti Developing
## 472 Nicaragua Developing
## 473 Guatemala Developing
## 474 Venezuela (Bolivarian Republic of) Developing
## 475 Bolivia (Plurinational State of) Developing
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## 478 Saint Vincent and the Grenadines Developing
## 479 Uruguay Developing
## 480 Mexico Developing
## 481 Chile Developing
## 482 Peru Developing
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## 484 El Salvador Developing
## 485 Saint Lucia Developing
## 486 Ecuador Developing
## 487 Nicaragua Developing
## 488 Cuba Developing
## 489 Paraguay Developing
## 490 Costa Rica Developing
## 491 Belize Developing
## 492 Grenada Developing
## 493 Barbados Developing
## 494 Brazil Developing
## 495 Dominican Republic Developing
## 496 Guatemala Developing
## 497 Suriname Developing
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## 499 Honduras Developing
## 500 Haiti Developing
## 501 Jamaica Developing
## 502 Venezuela (Bolivarian Republic of) Developing
## 503 Ecuador Developing
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## 505 Antigua and Barbuda Developing
## 506 Peru Developing
## 507 Panama Developing
## 508 Bolivia (Plurinational State of) Developing
## 509 Honduras Developing
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## 511 Dominican Republic Developing
## 512 Guatemala Developing
## 513 Suriname Developing
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## 516 Venezuela (Bolivarian Republic of) Developing
## 517 Grenada Developing
## 518 Nicaragua Developing
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## 520 Uruguay Developing
## 521 Saint Vincent and the Grenadines Developing
## 522 El Salvador Developing
## 523 Guyana Developing
## 524 Paraguay Developing
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## 526 Jamaica Developing
## 527 Cuba Developing
## 528 Belize Developing
## 529 Ecuador Developing
## 530 Guatemala Developing
## 531 Mexico Developing
## 532 Peru Developing
## 533 Venezuela (Bolivarian Republic of) Developing
## 534 Chile Developing
## 535 Jamaica Developing
## 536 Haiti Developing
## 537 Cuba Developing
## 538 Saint Lucia Developing
## 539 Nicaragua Developing
## 540 El Salvador Developing
## 541 Antigua and Barbuda Developing
## 542 Costa Rica Developing
## 543 Uruguay Developing
## 544 Panama Developing
## 545 Suriname Developing
## 546 Dominican Republic Developing
## 547 Bahamas Developing
## 548 Barbados Developing
## 549 Saint Vincent and the Grenadines Developing
## 550 Paraguay Developing
## 551 Bolivia (Plurinational State of) Developing
## 552 Belize Developing
## 553 Grenada Developing
## 554 Brazil Developing
## 555 Trinidad and Tobago Developing
## 556 Mexico Developing
## 557 Venezuela (Bolivarian Republic of) Developing
## 558 Barbados Developing
## 559 Panama Developing
## 560 Saint Lucia Developing
## 561 Antigua and Barbuda Developing
## 562 Peru Developing
## 563 Chile Developing
## 564 Bahamas Developing
## 565 Costa Rica Developing
## 566 Saint Vincent and the Grenadines Developing
## 567 Paraguay Developing
## 568 Guyana Developing
## 569 Argentina Developing
## 570 Brazil Developing
## 571 Dominican Republic Developing
## 572 Nicaragua Developing
## 573 Jamaica Developing
## 574 Suriname Developing
## 575 Honduras Developing
## 576 Uruguay Developing
## 577 Colombia Developing
## 578 Bolivia (Plurinational State of) Developing
## 579 El Salvador Developing
## 580 Haiti Developing
## 581 Bolivia (Plurinational State of) Developing
## 582 Uruguay Developing
## 583 Colombia Developing
## 584 El Salvador Developing
## 585 Paraguay Developing
## 586 Ecuador Developing
## 587 Bahamas Developing
## 588 Venezuela (Bolivarian Republic of) Developing
## 589 Mexico Developing
## 590 Saint Lucia Developing
## 591 Guatemala Developing
## 592 Trinidad and Tobago Developing
## 593 Cuba Developing
## 594 Suriname Developing
## 595 Brazil Developing
## 596 Guyana Developing
## 597 Honduras Developing
## 598 Argentina Developing
## 599 Panama Developing
## 600 Nicaragua Developing
## 601 Belize Developing
## 602 Haiti Developing
## 603 Costa Rica Developing
## 604 Trinidad and Tobago Developing
## 605 Peru Developing
## 606 Antigua and Barbuda Developing
## 607 Haiti Developing
## 608 Saint Vincent and the Grenadines Developing
## 609 El Salvador Developing
## 610 Saint Kitts and Nevis Developing
## 611 Venezuela (Bolivarian Republic of) Developing
## 612 Saint Lucia Developing
## 613 Chile Developing
## 614 Grenada Developing
## 615 Bolivia (Plurinational State of) Developing
## 616 Mexico Developing
## 617 Dominican Republic Developing
## 618 Brazil Developing
## 619 Paraguay Developing
## 620 Ecuador Developing
## 621 Barbados Developing
## 622 Dominica Developing
## 623 Argentina Developing
## 624 Guyana Developing
## 625 Cuba Developing
## 626 Honduras Developing
## 627 Bahamas Developing
## 628 Belize Developing
## 629 Nicaragua Developing
## 630 Jamaica Developing
## 631 Guatemala Developing
## 632 Suriname Developing
## 633 Paraguay Developing
## 634 Uruguay Developing
## 635 Antigua and Barbuda Developing
## 636 Saint Lucia Developing
## 637 Bolivia (Plurinational State of) Developing
## 638 Trinidad and Tobago Developing
## 639 Peru Developing
## 640 Brazil Developing
## 641 Venezuela (Bolivarian Republic of) Developing
## 642 Guyana Developing
## 643 Saint Vincent and the Grenadines Developing
## 644 Grenada Developing
## 645 Honduras Developing
## 646 Cuba Developing
## 647 Bahamas Developing
## 648 Dominican Republic Developing
## 649 El Salvador Developing
## 650 Guatemala Developing
## 651 Belize Developing
## 652 Ecuador Developing
## 653 Panama Developing
## 654 Barbados Developing
## 655 Jamaica Developing
## 656 Suriname Developing
## 657 Chile Developing
## 658 Mexico Developing
## 659 Peru Developing
## 660 Panama Developing
## 661 Grenada Developing
## 662 Brazil Developing
## 663 Haiti Developing
## 664 Belize Developing
## 665 Dominican Republic Developing
## 666 Saint Vincent and the Grenadines Developing
## 667 Cuba Developing
## 668 Mexico Developing
## 669 Colombia Developing
## 670 Paraguay Developing
## 671 Guyana Developing
## 672 Nicaragua Developing
## 673 Antigua and Barbuda Developing
## 674 Jamaica Developing
## 675 Uruguay Developing
## 676 Chile Developing
## 677 El Salvador Developing
## 678 Suriname Developing
## 679 Venezuela (Bolivarian Republic of) Developing
## 680 Guatemala Developing
## 681 Barbados Developing
## 682 Bolivia (Plurinational State of) Developing
## 683 Ecuador Developing
## 684 Argentina Developing
## 685 Saint Lucia Developing
## 686 Vanuatu Developing
## 687 Solomon Islands Developing
## 688 Papua New Guinea Developing
## 689 Papua New Guinea Developing
## 690 Vanuatu Developing
## 691 Solomon Islands Developing
## 692 Vanuatu Developing
## 693 Solomon Islands Developing
## 694 Fiji Developing
## 695 Papua New Guinea Developing
## 696 Solomon Islands Developing
## 697 Vanuatu Developing
## 698 Fiji Developing
## 699 Papua New Guinea Developing
## 700 Fiji Developing
## 701 Solomon Islands Developing
## 702 Papua New Guinea Developing
## 703 Vanuatu Developing
## 704 Fiji Developing
## 705 Solomon Islands Developing
## 706 Fiji Developing
## 707 Vanuatu Developing
## 708 Solomon Islands Developing
## 709 Vanuatu Developing
## 710 Papua New Guinea Developing
## 711 Fiji Developing
## 712 Fiji Developing
## 713 Vanuatu Developing
## 714 Solomon Islands Developing
## 715 Papua New Guinea Developing
## 716 Fiji Developing
## 717 Vanuatu Developing
## 718 Papua New Guinea Developing
## 719 Solomon Islands Developing
## 720 Fiji Developing
## 721 Papua New Guinea Developing
## 722 Solomon Islands Developing
## 723 Fiji Developing
## 724 Vanuatu Developing
## 725 Papua New Guinea Developing
## 726 Solomon Islands Developing
## 727 Fiji Developing
## 728 Papua New Guinea Developing
## 729 Solomon Islands Developing
## 730 Vanuatu Developing
## 731 Vanuatu Developing
## 732 Papua New Guinea Developing
## 733 Solomon Islands Developing
## 734 Fiji Developing
## 735 Fiji Developing
## 736 Papua New Guinea Developing
## 737 Solomon Islands Developing
## 738 Papua New Guinea Developing
## 739 Vanuatu Developing
## 740 Solomon Islands Developing
## 741 Kiribati Developing
## 742 Micronesia (Federated States of) Developing
## 743 Kiribati Developing
## 744 Micronesia (Federated States of) Developing
## 745 Kiribati Developing
## 746 Micronesia (Federated States of) Developing
## 747 Kiribati Developing
## 748 Micronesia (Federated States of) Developing
## 749 Kiribati Developing
## 750 Micronesia (Federated States of) Developing
## 751 Micronesia (Federated States of) Developing
## 752 Kiribati Developing
## 753 Kiribati Developing
## 754 Micronesia (Federated States of) Developing
## 755 Kiribati Developing
## 756 Kiribati Developing
## 757 Micronesia (Federated States of) Developing
## 758 Kiribati Developing
## 759 Kiribati Developing
## 760 Kiribati Developing
## 761 Micronesia (Federated States of) Developing
## 762 Kiribati Developing
## 763 Micronesia (Federated States of) Developing
## 764 Palau Developing
## 765 Nauru Developing
## 766 Kiribati Developing
## 767 Micronesia (Federated States of) Developing
## 768 Micronesia (Federated States of) Developing
## 769 Kiribati Developing
## 770 Libya Developing
## 771 Tunisia Developing
## 772 Algeria Developing
## 773 Tunisia Developing
## 774 Libya Developing
## 775 Morocco Developing
## 776 Sudan Developing
## 777 Sudan Developing
## 778 Tunisia Developing
## 779 Libya Developing
## 780 Egypt Developing
## 781 Morocco Developing
## 782 Morocco Developing
## 783 Libya Developing
## 784 Tunisia Developing
## 785 Algeria Developing
## 786 Sudan Developing
## 787 Egypt Developing
## 788 Libya Developing
## 789 Sudan Developing
## 790 Algeria Developing
## 791 Morocco Developing
## 792 Egypt Developing
## 793 Sudan Developing
## 794 Libya Developing
## 795 Morocco Developing
## 796 Egypt Developing
## 797 Sudan Developing
## 798 Egypt Developing
## 799 Algeria Developing
## 800 Sudan Developing
## 801 Egypt Developing
## 802 Libya Developing
## 803 Algeria Developing
## 804 Morocco Developing
## 805 Libya Developing
## 806 Algeria Developing
## 807 Morocco Developing
## 808 Egypt Developing
## 809 Sudan Developing
## 810 Tunisia Developing
## 811 Algeria Developing
## 812 Egypt Developing
## 813 Morocco Developing
## 814 Libya Developing
## 815 Tunisia Developing
## 816 Algeria Developing
## 817 Morocco Developing
## 818 Egypt Developing
## 819 Sudan Developing
## 820 Libya Developing
## 821 Morocco Developing
## 822 Egypt Developing
## 823 Algeria Developing
## 824 Morocco Developing
## 825 Egypt Developing
## 826 Libya Developing
## 827 Tunisia Developing
## 828 Morocco Developing
## 829 Libya Developing
## 830 Algeria Developing
## 831 Egypt Developing
## 832 Tunisia Developing
## 833 Sudan Developing
## 834 Libya Developing
## 835 Sudan Developing
## 836 Algeria Developing
## 837 Tunisia Developing
## 838 Egypt Developing
## 839 Sudan Developing
## 840 Tunisia Developing
## 841 Algeria Developing
## 842 Libya Developing
## 843 Morocco Developing
## 844 United States of America Developed
## 845 Canada Developing
## 846 United States of America Developed
## 847 Canada Developing
## 848 United States of America Developed
## 849 Canada Developing
## 850 Canada Developing
## 851 United States of America Developed
## 852 Canada Developing
## 853 United States of America Developed
## 854 Canada Developing
## 855 United States of America Developed
## 856 Canada Developing
## 857 United States of America Developed
## 858 Canada Developing
## 859 United States of America Developed
## 860 United States of America Developed
## 861 Canada Developing
## 862 Canada Developing
## 863 Canada Developing
## 864 Canada Developing
## 865 United States of America Developed
## 866 Estonia Developing
## 867 Ireland Developed
## 868 Norway Developed
## 869 Finland Developing
## 870 Iceland Developed
## 871 Lithuania Developed
## 872 Denmark Developed
## 873 Latvia Developed
## 874 United Kingdom of Great Britain and Northern Ireland Developed
## 875 Sweden Developed
## 876 Norway Developed
## 877 Finland Developing
## 878 Latvia Developed
## 879 United Kingdom of Great Britain and Northern Ireland Developed
## 880 Sweden Developed
## 881 Estonia Developing
## 882 Iceland Developed
## 883 Ireland Developed
## 884 Finland Developing
## 885 Norway Developed
## 886 Iceland Developed
## 887 Estonia Developing
## 888 Latvia Developed
## 889 Denmark Developed
## 890 Sweden Developed
## 891 Finland Developing
## 892 Estonia Developing
## 893 Denmark Developed
## 894 Norway Developed
## 895 United Kingdom of Great Britain and Northern Ireland Developed
## 896 Latvia Developed
## 897 Ireland Developed
## 898 Iceland Developed
## 899 Lithuania Developed
## 900 Finland Developing
## 901 Latvia Developed
## 902 Iceland Developed
## 903 Ireland Developed
## 904 Sweden Developed
## 905 Denmark Developed
## 906 Norway Developed
## 907 Latvia Developed
## 908 Iceland Developed
## 909 Denmark Developed
## 910 Ireland Developed
## 911 United Kingdom of Great Britain and Northern Ireland Developed
## 912 Finland Developing
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## 914 Latvia Developed
## 915 United Kingdom of Great Britain and Northern Ireland Developed
## 916 Iceland Developed
## 917 Sweden Developed
## 918 Denmark Developed
## 919 Ireland Developed
## 920 Lithuania Developed
## 921 Norway Developed
## 922 Finland Developing
## 923 Sweden Developed
## 924 Iceland Developed
## 925 Denmark Developed
## 926 Latvia Developed
## 927 Norway Developed
## 928 United Kingdom of Great Britain and Northern Ireland Developed
## 929 Lithuania Developed
## 930 Iceland Developed
## 931 Ireland Developed
## 932 Sweden Developed
## 933 United Kingdom of Great Britain and Northern Ireland Developed
## 934 Denmark Developed
## 935 Lithuania Developed
## 936 Estonia Developing
## 937 United Kingdom of Great Britain and Northern Ireland Developed
## 938 Ireland Developed
## 939 Denmark Developed
## 940 Iceland Developed
## 941 Latvia Developed
## 942 Finland Developing
## 943 Norway Developed
## 944 Estonia Developing
## 945 Ireland Developed
## 946 Denmark Developed
## 947 United Kingdom of Great Britain and Northern Ireland Developed
## 948 Sweden Developed
## 949 Finland Developing
## 950 Norway Developed
## 951 Estonia Developing
## 952 Iceland Developed
## 953 Latvia Developed
## 954 Lithuania Developed
## 955 Lithuania Developed
## 956 Finland Developing
## 957 Estonia Developing
## 958 United Kingdom of Great Britain and Northern Ireland Developed
## 959 Sweden Developed
## 960 Latvia Developed
## 961 Iceland Developed
## 962 United Kingdom of Great Britain and Northern Ireland Developed
## 963 Iceland Developed
## 964 Finland Developing
## 965 Sweden Developed
## 966 Lithuania Developed
## 967 Latvia Developed
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## 969 Denmark Developed
## 970 Finland Developing
## 971 Estonia Developing
## 972 Lithuania Developed
## 973 Latvia Developed
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## 975 Norway Developed
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## 977 Sweden Developed
## 978 Ireland Developed
## 979 Norway Developed
## 980 Denmark Developed
## 981 Lithuania Developed
## 982 Sweden Developed
## 983 Finland Developing
## 984 Estonia Developing
## 985 Latvia Developed
## 986 Lithuania Developed
## 987 Latvia Developed
## 988 Estonia Developing
## 989 Finland Developing
## 990 United Kingdom of Great Britain and Northern Ireland Developed
## 991 Norway Developed
## 992 Denmark Developed
## 993 Sweden Developed
## 994 Tonga Developing
## 995 Samoa Developing
## 996 Samoa Developing
## 997 Tonga Developing
## 998 Tonga Developing
## 999 Tonga Developing
## 1000 Samoa Developing
## 1001 Tonga Developing
## 1002 Samoa Developing
## 1003 Tonga Developing
## 1004 Samoa Developing
## 1005 Tonga Developing
## 1006 Samoa Developing
## 1007 Tonga Developing
## 1008 Samoa Developing
## 1009 Tonga Developing
## 1010 Samoa Developing
## 1011 Tonga Developing
## 1012 Samoa Developing
## 1013 Tonga Developing
## 1014 Tonga Developing
## 1015 Samoa Developing
## 1016 Niue Developing
## 1017 Cook Islands Developing
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## 1020 Tonga Developing
## 1021 Samoa Developing
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## 1023 Timor-Leste Developing
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## 1025 Thailand Developing
## 1026 Lao People's Democratic Republic Developing
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## 1043 Viet Nam Developing
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## 1050 Timor-Leste Developing
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## 1055 Cambodia Developing
## 1056 Malaysia Developing
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## 1078 Timor-Leste Developing
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## 1084 Brunei Darussalam Developing
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## 1092 Timor-Leste Developing
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## 1123 Indonesia Developing
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## 1125 Thailand Developing
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## 1140 Brunei Darussalam Developing
## 1141 Lao People's Democratic Republic Developing
## 1142 Timor-Leste Developing
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## 1159 Thailand Developing
## 1160 Lao People's Democratic Republic Developing
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## 1162 Brunei Darussalam Developing
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## 1169 Bhutan Developing
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## 1176 Afghanistan Developing
## 1177 Iran (Islamic Republic of) Developing
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## 1199 Bangladesh Developing
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## 1219 Sri Lanka Developing
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## 1238 Bhutan Developing
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## 1241 Nepal Developing
## 1242 Iran (Islamic Republic of) Developing
## 1243 India Developing
## 1244 Maldives Developing
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## 1256 Bhutan Developing
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## 1262 Sri Lanka Developing
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## 1270 Pakistan Developing
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## 1274 Nepal Developing
## 1275 Afghanistan Developing
## 1276 Pakistan Developing
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## 1278 Maldives Developing
## 1279 Iran (Islamic Republic of) Developing
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## 1281 India Developing
## 1282 Serbia Developing
## 1283 Spain Developed
## 1284 Greece Developing
## 1285 Italy Developed
## 1286 Montenegro Developing
## 1287 Albania Developing
## 1288 Croatia Developed
## 1289 The former Yugoslav republic of Macedonia Developing
## 1290 Bosnia and Herzegovina Developing
## 1291 Portugal Developed
## 1292 The former Yugoslav republic of Macedonia Developing
## 1293 Croatia Developed
## 1294 Spain Developed
## 1295 Bosnia and Herzegovina Developing
## 1296 Slovenia Developed
## 1297 Montenegro Developing
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## 1300 Albania Developing
## 1301 The former Yugoslav republic of Macedonia Developing
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## 1359 Albania Developing
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## 1370 Malta Developed
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## 1379 Portugal Developed
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## 1389 Greece Developing
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## 1395 The former Yugoslav republic of Macedonia Developing
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## 1399 Malta Developed
## 1400 The former Yugoslav republic of Macedonia Developing
## 1401 Albania Developing
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## 1404 Croatia Developed
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## 1407 San Marino Developing
## 1408 Malta Developed
## 1409 Albania Developing
## 1410 Slovenia Developed
## 1411 Montenegro Developing
## 1412 The former Yugoslav republic of Macedonia Developing
## 1413 Serbia Developing
## 1414 Greece Developing
## 1415 Bosnia and Herzegovina Developing
## 1416 Italy Developed
## 1417 Croatia Developed
## 1418 Malta Developed
## 1419 Bosnia and Herzegovina Developing
## 1420 The former Yugoslav republic of Macedonia Developing
## 1421 Montenegro Developing
## 1422 Portugal Developed
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## 1424 Spain Developed
## 1425 Italy Developed
## 1426 Greece Developing
## 1427 Slovenia Developed
## 1428 Croatia Developed
## 1429 Serbia Developing
## 1430 Bosnia and Herzegovina Developing
## 1431 Greece Developing
## 1432 Portugal Developed
## 1433 Italy Developed
## 1434 Albania Developing
## 1435 The former Yugoslav republic of Macedonia Developing
## 1436 Gabon Developing
## 1437 Benin Developing
## 1438 Madagascar Developing
## 1439 South Africa Developing
## 1440 Congo Developing
## 1441 Burundi Developing
## 1442 Namibia Developing
## 1443 Gambia Developing
## 1444 Seychelles Developing
## 1445 Cabo Verde Developing
## 1446 Rwanda Developing
## 1447 Djibouti Developing
## 1448 Cameroon Developing
## 1449 Malawi Developing
## 1450 Liberia Developing
## 1451 Chad Developing
## 1452 Mali Developing
## 1453 Mauritius Developing
## 1454 Niger Developing
## 1455 Ghana Developing
## 1456 Sao Tome and Principe Developing
## 1457 Sierra Leone Developing
## 1458 United Republic of Tanzania Developing
## 1459 Ethiopia Developing
## 1460 Comoros Developing
## 1461 Equatorial Guinea Developing
## 1462 Swaziland Developing
## 1463 Mozambique Developing
## 1464 Mauritania Developing
## 1465 Eritrea Developing
## 1466 South Sudan Developing
## 1467 Guinea Developing
## 1468 Democratic Republic of the Congo Developing
## 1469 Nigeria Developing
## 1470 Somalia Developing
## 1471 Côte d'Ivoire Developing
## 1472 Rwanda Developing
## 1473 South Africa Developing
## 1474 Cabo Verde Developing
## 1475 Niger Developing
## 1476 Madagascar Developing
## 1477 Gabon Developing
## 1478 Namibia Developing
## 1479 Swaziland Developing
## 1480 Mauritius Developing
## 1481 Kenya Developing
## 1482 Chad Developing
## 1483 Equatorial Guinea Developing
## 1484 Sao Tome and Principe Developing
## 1485 Botswana Developing
## 1486 Gambia Developing
## 1487 Ethiopia Developing
## 1488 Benin Developing
## 1489 Djibouti Developing
## 1490 Congo Developing
## 1491 Mali Developing
## 1492 Burkina Faso Developing
## 1493 Central African Republic Developing
## 1494 Uganda Developing
## 1495 Nigeria Developing
## 1496 Guinea-Bissau Developing
## 1497 Eritrea Developing
## 1498 Somalia Developing
## 1499 Ghana Developing
## 1500 Comoros Developing
## 1501 Mozambique Developing
## 1502 Democratic Republic of the Congo Developing
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## 1505 Côte d'Ivoire Developing
## 1506 Senegal Developing
## 1507 Togo Developing
## 1508 Guinea Developing
## 1509 Rwanda Developing
## 1510 Mauritius Developing
## 1511 South Africa Developing
## 1512 Niger Developing
## 1513 Angola Developing
## 1514 Lesotho Developing
## 1515 Zimbabwe Developing
## 1516 Seychelles Developing
## 1517 Cameroon Developing
## 1518 Burundi Developing
## 1519 Namibia Developing
## 1520 Zambia Developing
## 1521 Madagascar Developing
## 1522 Burkina Faso Developing
## 1523 Guinea-Bissau Developing
## 1524 United Republic of Tanzania Developing
## 1525 Malawi Developing
## 1526 Cabo Verde Developing
## 1527 Ethiopia Developing
## 1528 Sao Tome and Principe Developing
## 1529 Liberia Developing
## 1530 Botswana Developing
## 1531 Congo Developing
## 1532 Côte d'Ivoire Developing
## 1533 Comoros Developing
## 1534 Benin Developing
## 1535 Chad Developing
## 1536 Kenya Developing
## 1537 Togo Developing
## 1538 Ghana Developing
## 1539 Swaziland Developing
## 1540 Eritrea Developing
## 1541 Mauritania Developing
## 1542 Gambia Developing
## 1543 Uganda Developing
## 1544 Democratic Republic of the Congo Developing
## 1545 Somalia Developing
## 1546 South Sudan Developing
## 1547 Central African Republic Developing
## 1548 Equatorial Guinea Developing
## 1549 Mali Developing
## 1550 Senegal Developing
## 1551 Mozambique Developing
## 1552 Rwanda Developing
## 1553 Zimbabwe Developing
## 1554 Angola Developing
## 1555 Burundi Developing
## 1556 Lesotho Developing
## 1557 Mauritius Developing
## 1558 Ethiopia Developing
## 1559 Mali Developing
## 1560 Ghana Developing
## 1561 South Africa Developing
## 1562 Sierra Leone Developing
## 1563 Guinea-Bissau Developing
## 1564 Cameroon Developing
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## 1566 Burkina Faso Developing
## 1567 Seychelles Developing
## 1568 Benin Developing
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## 1570 Equatorial Guinea Developing
## 1571 Kenya Developing
## 1572 Swaziland Developing
## 1573 United Republic of Tanzania Developing
## 1574 Democratic Republic of the Congo Developing
## 1575 Namibia Developing
## 1576 Sao Tome and Principe Developing
## 1577 Togo Developing
## 1578 Central African Republic Developing
## 1579 Cabo Verde Developing
## 1580 Somalia Developing
## 1581 Guinea Developing
## 1582 Djibouti Developing
## 1583 Botswana Developing
## 1584 Nigeria Developing
## 1585 Comoros Developing
## 1586 Mozambique Developing
## 1587 Côte d'Ivoire Developing
## 1588 South Sudan Developing
## 1589 Angola Developing
## 1590 Seychelles Developing
## 1591 Gabon Developing
## 1592 Namibia Developing
## 1593 South Africa Developing
## 1594 Niger Developing
## 1595 Rwanda Developing
## 1596 Zimbabwe Developing
## 1597 Mauritius Developing
## 1598 Malawi Developing
## 1599 Sao Tome and Principe Developing
## 1600 Lesotho Developing
## 1601 Congo Developing
## 1602 Mali Developing
## 1603 Gambia Developing
## 1604 Liberia Developing
## 1605 Guinea-Bissau Developing
## 1606 Ghana Developing
## 1607 Uganda Developing
## 1608 United Republic of Tanzania Developing
## 1609 Ethiopia Developing
## 1610 Zambia Developing
## 1611 Guinea Developing
## 1612 Mozambique Developing
## 1613 Chad Developing
## 1614 Sierra Leone Developing
## 1615 Benin Developing
## 1616 Cabo Verde Developing
## 1617 Swaziland Developing
## 1618 Democratic Republic of the Congo Developing
## 1619 South Sudan Developing
## 1620 Equatorial Guinea Developing
## 1621 Nigeria Developing
## 1622 Senegal Developing
## 1623 Côte d'Ivoire Developing
## 1624 Comoros Developing
## 1625 Togo Developing
## 1626 Burundi Developing
## 1627 Namibia Developing
## 1628 Rwanda Developing
## 1629 Guinea Developing
## 1630 South Africa Developing
## 1631 Angola Developing
## 1632 Mauritius Developing
## 1633 Gabon Developing
## 1634 Sierra Leone Developing
## 1635 Cameroon Developing
## 1636 Democratic Republic of the Congo Developing
## 1637 Benin Developing
## 1638 Sao Tome and Principe Developing
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## 1640 Malawi Developing
## 1641 Eritrea Developing
## 1642 Guinea-Bissau Developing
## 1643 Burkina Faso Developing
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## 1649 Ghana Developing
## 1650 Niger Developing
## 1651 Botswana Developing
## 1652 Swaziland Developing
## 1653 Kenya Developing
## 1654 Mauritania Developing
## 1655 Nigeria Developing
## 1656 Madagascar Developing
## 1657 Congo Developing
## 1658 Mozambique Developing
## 1659 Côte d'Ivoire Developing
## 1660 Somalia Developing
## 1661 Togo Developing
## 1662 South Sudan Developing
## 1663 Central African Republic Developing
## 1664 Uganda Developing
## 1665 Djibouti Developing
## 1666 Senegal Developing
## 1667 Comoros Developing
## 1668 Equatorial Guinea Developing
## 1669 Mauritius Developing
## 1670 Burundi Developing
## 1671 Democratic Republic of the Congo Developing
## 1672 Botswana Developing
## 1673 Angola Developing
## 1674 Rwanda Developing
## 1675 Guinea-Bissau Developing
## 1676 Malawi Developing
## 1677 Lesotho Developing
## 1678 South Africa Developing
## 1679 Sao Tome and Principe Developing
## 1680 South Sudan Developing
## 1681 Liberia Developing
## 1682 Niger Developing
## 1683 Uganda Developing
## 1684 Equatorial Guinea Developing
## 1685 Zambia Developing
## 1686 Guinea Developing
## 1687 Gambia Developing
## 1688 Côte d'Ivoire Developing
## 1689 Somalia Developing
## 1690 Burkina Faso Developing
## 1691 Namibia Developing
## 1692 Ethiopia Developing
## 1693 Congo Developing
## 1694 Madagascar Developing
## 1695 Gabon Developing
## 1696 Togo Developing
## 1697 Swaziland Developing
## 1698 Mauritania Developing
## 1699 Cabo Verde Developing
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## 1701 Benin Developing
## 1702 Mozambique Developing
## 1703 Kenya Developing
## 1704 Senegal Developing
## 1705 Nigeria Developing
## 1706 Eritrea Developing
## 1707 Angola Developing
## 1708 Uganda Developing
## 1709 Ghana Developing
## 1710 Mauritius Developing
## 1711 Guinea-Bissau Developing
## 1712 Guinea Developing
## 1713 Chad Developing
## 1714 Botswana Developing
## 1715 Zambia Developing
## 1716 South Sudan Developing
## 1717 Sao Tome and Principe Developing
## 1718 Mozambique Developing
## 1719 Cabo Verde Developing
## 1720 Eritrea Developing
## 1721 Malawi Developing
## 1722 Côte d'Ivoire Developing
## 1723 United Republic of Tanzania Developing
## 1724 Zimbabwe Developing
## 1725 Seychelles Developing
## 1726 Madagascar Developing
## 1727 Ethiopia Developing
## 1728 Togo Developing
## 1729 Sierra Leone Developing
## 1730 Djibouti Developing
## 1731 Niger Developing
## 1732 Namibia Developing
## 1733 Benin Developing
## 1734 Cameroon Developing
## 1735 Senegal Developing
## 1736 Mali Developing
## 1737 Comoros Developing
## 1738 Mauritania Developing
## 1739 Kenya Developing
## 1740 Central African Republic Developing
## 1741 Gambia Developing
## 1742 Botswana Developing
## 1743 Namibia Developing
## 1744 Cabo Verde Developing
## 1745 Guinea Developing
## 1746 Democratic Republic of the Congo Developing
## 1747 Ghana Developing
## 1748 Senegal Developing
## 1749 Sao Tome and Principe Developing
## 1750 Madagascar Developing
## 1751 Mali Developing
## 1752 Zambia Developing
## 1753 Nigeria Developing
## 1754 Eritrea Developing
## 1755 Burundi Developing
## 1756 Zimbabwe Developing
## 1757 Lesotho Developing
## 1758 Seychelles Developing
## 1759 Guinea-Bissau Developing
## 1760 Côte d'Ivoire Developing
## 1761 Central African Republic Developing
## 1762 Burkina Faso Developing
## 1763 Djibouti Developing
## 1764 Niger Developing
## 1765 Benin Developing
## 1766 Congo Developing
## 1767 Malawi Developing
## 1768 Gambia Developing
## 1769 Chad Developing
## 1770 Mauritania Developing
## 1771 Kenya Developing
## 1772 Swaziland Developing
## 1773 Uganda Developing
## 1774 Cameroon Developing
## 1775 Angola Developing
## 1776 United Republic of Tanzania Developing
## 1777 Sierra Leone Developing
## 1778 Rwanda Developing
## 1779 Lesotho Developing
## 1780 Seychelles Developing
## 1781 Gabon Developing
## 1782 South Sudan Developing
## 1783 Niger Developing
## 1784 Swaziland Developing
## 1785 Madagascar Developing
## 1786 Guinea Developing
## 1787 Mali Developing
## 1788 Cabo Verde Developing
## 1789 Equatorial Guinea Developing
## 1790 Burundi Developing
## 1791 Mozambique Developing
## 1792 Ethiopia Developing
## 1793 Senegal Developing
## 1794 South Africa Developing
## 1795 Chad Developing
## 1796 Zimbabwe Developing
## 1797 Rwanda Developing
## 1798 Côte d'Ivoire Developing
## 1799 Djibouti Developing
## 1800 Eritrea Developing
## 1801 Gambia Developing
## 1802 Comoros Developing
## 1803 Somalia Developing
## 1804 Mauritania Developing
## 1805 Uganda Developing
## 1806 Ghana Developing
## 1807 Angola Developing
## 1808 Nigeria Developing
## 1809 Democratic Republic of the Congo Developing
## 1810 Malawi Developing
## 1811 Kenya Developing
## 1812 Mauritius Developing
## 1813 Burkina Faso Developing
## 1814 Congo Developing
## 1815 Zambia Developing
## 1816 Liberia Developing
## 1817 Sierra Leone Developing
## 1818 Benin Developing
## 1819 Sao Tome and Principe Developing
## 1820 Guinea-Bissau Developing
## 1821 Lesotho Developing
## 1822 Cameroon Developing
## 1823 Niger Developing
## 1824 Gambia Developing
## 1825 Mozambique Developing
## 1826 Seychelles Developing
## 1827 Burundi Developing
## 1828 Somalia Developing
## 1829 Djibouti Developing
## 1830 Madagascar Developing
## 1831 South Africa Developing
## 1832 Benin Developing
## 1833 Namibia Developing
## 1834 Botswana Developing
## 1835 Central African Republic Developing
## 1836 Malawi Developing
## 1837 Zambia Developing
## 1838 Uganda Developing
## 1839 Eritrea Developing
## 1840 Angola Developing
## 1841 Senegal Developing
## 1842 Nigeria Developing
## 1843 Ghana Developing
## 1844 Mauritius Developing
## 1845 Mali Developing
## 1846 Togo Developing
## 1847 Congo Developing
## 1848 Chad Developing
## 1849 Zimbabwe Developing
## 1850 Equatorial Guinea Developing
## 1851 Mauritania Developing
## 1852 Burkina Faso Developing
## 1853 Sao Tome and Principe Developing
## 1854 Democratic Republic of the Congo Developing
## 1855 Côte d'Ivoire Developing
## 1856 Guinea-Bissau Developing
## 1857 Sierra Leone Developing
## 1858 Rwanda Developing
## 1859 Liberia Developing
## 1860 Togo Developing
## 1861 Namibia Developing
## 1862 Madagascar Developing
## 1863 Gabon Developing
## 1864 Lesotho Developing
## 1865 Seychelles Developing
## 1866 Central African Republic Developing
## 1867 Botswana Developing
## 1868 Mozambique Developing
## 1869 Côte d'Ivoire Developing
## 1870 Burundi Developing
## 1871 Cameroon Developing
## 1872 Malawi Developing
## 1873 Benin Developing
## 1874 Ethiopia Developing
## 1875 Nigeria Developing
## 1876 Democratic Republic of the Congo Developing
## 1877 Burkina Faso Developing
## 1878 Gambia Developing
## 1879 Swaziland Developing
## 1880 Eritrea Developing
## 1881 Angola Developing
## 1882 Guinea Developing
## 1883 Chad Developing
## 1884 Mauritania Developing
## 1885 South Africa Developing
## 1886 Congo Developing
## 1887 Sierra Leone Developing
## 1888 Zimbabwe Developing
## 1889 Uganda Developing
## 1890 South Sudan Developing
## 1891 Guinea-Bissau Developing
## 1892 Ghana Developing
## 1893 Kenya Developing
## 1894 Rwanda Developing
## 1895 Sao Tome and Principe Developing
## 1896 Namibia Developing
## 1897 Mozambique Developing
## 1898 Lesotho Developing
## 1899 Central African Republic Developing
## 1900 Kenya Developing
## 1901 Niger Developing
## 1902 Côte d'Ivoire Developing
## 1903 Togo Developing
## 1904 Djibouti Developing
## 1905 Zimbabwe Developing
## 1906 Liberia Developing
## 1907 Mauritania Developing
## 1908 Gambia Developing
## 1909 Malawi Developing
## 1910 Angola Developing
## 1911 Cameroon Developing
## 1912 Nigeria Developing
## 1913 Ghana Developing
## 1914 Uganda Developing
## 1915 United Republic of Tanzania Developing
## 1916 Congo Developing
## 1917 Ethiopia Developing
## 1918 Botswana Developing
## 1919 Cabo Verde Developing
## 1920 Chad Developing
## 1921 Mali Developing
## 1922 Comoros Developing
## 1923 Burkina Faso Developing
## 1924 Benin Developing
## 1925 Eritrea Developing
## 1926 South Africa Developing
## 1927 Swaziland Developing
## 1928 Guinea-Bissau Developing
## 1929 Senegal Developing
## 1930 Equatorial Guinea Developing
## 1931 Rwanda Developing
## 1932 Guinea Developing
## 1933 Kenya Developing
## 1934 Lesotho Developing
## 1935 Sao Tome and Principe Developing
## 1936 Democratic Republic of the Congo Developing
## 1937 Angola Developing
## 1938 Côte d'Ivoire Developing
## 1939 Central African Republic Developing
## 1940 Benin Developing
## 1941 Madagascar Developing
## 1942 Niger Developing
## 1943 Seychelles Developing
## 1944 Togo Developing
## 1945 Ethiopia Developing
## 1946 Chad Developing
## 1947 Uganda Developing
## 1948 Mali Developing
## 1949 Burkina Faso Developing
## 1950 Gambia Developing
## 1951 Mauritania Developing
## 1952 Mozambique Developing
## 1953 South Sudan Developing
## 1954 Zimbabwe Developing
## 1955 Botswana Developing
## 1956 Cameroon Developing
## 1957 Mauritius Developing
## 1958 Ghana Developing
## 1959 Equatorial Guinea Developing
## 1960 Guinea-Bissau Developing
## 1961 Malawi Developing
## 1962 Djibouti Developing
## 1963 Senegal Developing
## 1964 Rwanda Developing
## 1965 Nigeria Developing
## 1966 Eritrea Developing
## 1967 United Republic of Tanzania Developing
## 1968 Somalia Developing
## 1969 Sierra Leone Developing
## 1970 Cabo Verde Developing
## 1971 Niger Developing
## 1972 Benin Developing
## 1973 Namibia Developing
## 1974 Lesotho Developing
## 1975 Botswana Developing
## 1976 Democratic Republic of the Congo Developing
## 1977 Zimbabwe Developing
## 1978 Côte d'Ivoire Developing
## 1979 Malawi Developing
## 1980 Rwanda Developing
## 1981 South Sudan Developing
## 1982 Guinea-Bissau Developing
## 1983 Central African Republic Developing
## 1984 Burkina Faso Developing
## 1985 Uganda Developing
## 1986 Ghana Developing
## 1987 Burundi Developing
## 1988 Zambia Developing
## 1989 Mozambique Developing
## 1990 Swaziland Developing
## 1991 Guinea Developing
## 1992 Sao Tome and Principe Developing
## 1993 Sierra Leone Developing
## 1994 Mauritius Developing
## 1995 Senegal Developing
## 1996 Comoros Developing
## 1997 Djibouti Developing
## 1998 Liberia Developing
## 1999 Ethiopia Developing
## 2000 Mauritania Developing
## 2001 Nigeria Developing
## 2002 Cabo Verde Developing
## 2003 Chad Developing
## 2004 Congo Developing
## 2005 Gambia Developing
## 2006 Madagascar Developing
## 2007 Benin Developing
## 2008 Seychelles Developing
## 2009 Malawi Developing
## 2010 Nigeria Developing
## 2011 Zimbabwe Developing
## 2012 South Sudan Developing
## 2013 Namibia Developing
## 2014 Gabon Developing
## 2015 Rwanda Developing
## 2016 Guinea Developing
## 2017 Lesotho Developing
## 2018 Côte d'Ivoire Developing
## 2019 Sao Tome and Principe Developing
## 2020 Kenya Developing
## 2021 United Republic of Tanzania Developing
## 2022 Botswana Developing
## 2023 Burundi Developing
## 2024 Guinea-Bissau Developing
## 2025 Sierra Leone Developing
## 2026 Mozambique Developing
## 2027 Central African Republic Developing
## 2028 Cameroon Developing
## 2029 Swaziland Developing
## 2030 Uganda Developing
## 2031 Liberia Developing
## 2032 Somalia Developing
## 2033 Comoros Developing
## 2034 Djibouti Developing
## 2035 Zambia Developing
## 2036 South Africa Developing
## 2037 Chad Developing
## 2038 Angola Developing
## 2039 Mauritius Developing
## 2040 Cabo Verde Developing
## 2041 Mauritania Developing
## 2042 Mali Developing
## 2043 Ghana Developing
## 2044 Eritrea Developing
## 2045 Syrian Arab Republic Developing
## 2046 Cyprus Developed
## 2047 Turkey Developing
## 2048 Iraq Developing
## 2049 Qatar Developing
## 2050 Azerbaijan Developing
## 2051 United Arab Emirates Developing
## 2052 Saudi Arabia Developing
## 2053 Lebanon Developing
## 2054 Armenia Developing
## 2055 Kuwait Developing
## 2056 Georgia Developing
## 2057 Oman Developing
## 2058 Yemen Developing
## 2059 Bahrain Developing
## 2060 Syrian Arab Republic Developing
## 2061 United Arab Emirates Developing
## 2062 Iraq Developing
## 2063 Bahrain Developing
## 2064 Israel Developing
## 2065 Kuwait Developing
## 2066 Jordan Developing
## 2067 Saudi Arabia Developing
## 2068 Oman Developing
## 2069 Yemen Developing
## 2070 Turkey Developing
## 2071 Cyprus Developed
## 2072 Armenia Developing
## 2073 Qatar Developing
## 2074 Israel Developing
## 2075 Bahrain Developing
## 2076 Lebanon Developing
## 2077 Syrian Arab Republic Developing
## 2078 Kuwait Developing
## 2079 Saudi Arabia Developing
## 2080 United Arab Emirates Developing
## 2081 Iraq Developing
## 2082 Georgia Developing
## 2083 Qatar Developing
## 2084 Azerbaijan Developing
## 2085 Armenia Developing
## 2086 Kuwait Developing
## 2087 Jordan Developing
## 2088 Syrian Arab Republic Developing
## 2089 Israel Developing
## 2090 Bahrain Developing
## 2091 United Arab Emirates Developing
## 2092 Lebanon Developing
## 2093 Cyprus Developed
## 2094 Turkey Developing
## 2095 Saudi Arabia Developing
## 2096 Qatar Developing
## 2097 Armenia Developing
## 2098 Azerbaijan Developing
## 2099 Georgia Developing
## 2100 Yemen Developing
## 2101 Oman Developing
## 2102 Kuwait Developing
## 2103 Saudi Arabia Developing
## 2104 Qatar Developing
## 2105 Turkey Developing
## 2106 Georgia Developing
## 2107 Jordan Developing
## 2108 Cyprus Developed
## 2109 Azerbaijan Developing
## 2110 Lebanon Developing
## 2111 Armenia Developing
## 2112 Bahrain Developing
## 2113 Oman Developing
## 2114 United Arab Emirates Developing
## 2115 Syrian Arab Republic Developing
## 2116 Iraq Developing
## 2117 Turkey Developing
## 2118 Azerbaijan Developing
## 2119 Jordan Developing
## 2120 Georgia Developing
## 2121 Israel Developing
## 2122 Oman Developing
## 2123 Armenia Developing
## 2124 Yemen Developing
## 2125 Kuwait Developing
## 2126 Saudi Arabia Developing
## 2127 Bahrain Developing
## 2128 United Arab Emirates Developing
## 2129 Azerbaijan Developing
## 2130 Turkey Developing
## 2131 Jordan Developing
## 2132 Qatar Developing
## 2133 Iraq Developing
## 2134 Cyprus Developed
## 2135 Georgia Developing
## 2136 Yemen Developing
## 2137 Kuwait Developing
## 2138 Armenia Developing
## 2139 Israel Developing
## 2140 Lebanon Developing
## 2141 Yemen Developing
## 2142 Iraq Developing
## 2143 Qatar Developing
## 2144 Turkey Developing
## 2145 Azerbaijan Developing
## 2146 Cyprus Developed
## 2147 United Arab Emirates Developing
## 2148 Israel Developing
## 2149 Oman Developing
## 2150 Kuwait Developing
## 2151 Bahrain Developing
## 2152 Syrian Arab Republic Developing
## 2153 Armenia Developing
## 2154 Kuwait Developing
## 2155 Azerbaijan Developing
## 2156 Qatar Developing
## 2157 Bahrain Developing
## 2158 United Arab Emirates Developing
## 2159 Turkey Developing
## 2160 Georgia Developing
## 2161 Oman Developing
## 2162 Saudi Arabia Developing
## 2163 Cyprus Developed
## 2164 Syrian Arab Republic Developing
## 2165 Israel Developing
## 2166 Lebanon Developing
## 2167 Jordan Developing
## 2168 Cyprus Developed
## 2169 Turkey Developing
## 2170 Qatar Developing
## 2171 Israel Developing
## 2172 Azerbaijan Developing
## 2173 Georgia Developing
## 2174 Yemen Developing
## 2175 Armenia Developing
## 2176 Iraq Developing
## 2177 United Arab Emirates Developing
## 2178 Saudi Arabia Developing
## 2179 Syrian Arab Republic Developing
## 2180 Bahrain Developing
## 2181 Cyprus Developed
## 2182 Qatar Developing
## 2183 Jordan Developing
## 2184 Saudi Arabia Developing
## 2185 Turkey Developing
## 2186 Georgia Developing
## 2187 Kuwait Developing
## 2188 Lebanon Developing
## 2189 Bahrain Developing
## 2190 Armenia Developing
## 2191 Israel Developing
## 2192 Oman Developing
## 2193 United Arab Emirates Developing
## 2194 Cyprus Developed
## 2195 Saudi Arabia Developing
## 2196 Turkey Developing
## 2197 Jordan Developing
## 2198 Lebanon Developing
## 2199 Oman Developing
## 2200 Syrian Arab Republic Developing
## 2201 Armenia Developing
## 2202 Israel Developing
## 2203 United Arab Emirates Developing
## 2204 Bahrain Developing
## 2205 Georgia Developing
## 2206 Yemen Developing
## 2207 Iraq Developing
## 2208 Jordan Developing
## 2209 Georgia Developing
## 2210 Lebanon Developing
## 2211 Yemen Developing
## 2212 Iraq Developing
## 2213 Armenia Developing
## 2214 Saudi Arabia Developing
## 2215 Bahrain Developing
## 2216 Oman Developing
## 2217 Cyprus Developed
## 2218 Azerbaijan Developing
## 2219 Kuwait Developing
## 2220 Lebanon Developing
## 2221 Turkey Developing
## 2222 Georgia Developing
## 2223 Kuwait Developing
## 2224 Oman Developing
## 2225 Saudi Arabia Developing
## 2226 Azerbaijan Developing
## 2227 Syrian Arab Republic Developing
## 2228 Cyprus Developed
## 2229 United Arab Emirates Developing
## 2230 Bahrain Developing
## 2231 Armenia Developing
## 2232 Iraq Developing
## 2233 Jordan Developing
## 2234 Cyprus Developed
## 2235 Turkey Developing
## 2236 Lebanon Developing
## 2237 Israel Developing
## 2238 Yemen Developing
## 2239 Kuwait Developing
## 2240 Armenia Developing
## 2241 Bahrain Developing
## 2242 Jordan Developing
## 2243 United Arab Emirates Developing
## 2244 Armenia Developing
## 2245 Turkey Developing
## 2246 Iraq Developing
## 2247 Kuwait Developing
## 2248 Saudi Arabia Developing
## 2249 Israel Developing
## 2250 Azerbaijan Developing
## 2251 Qatar Developing
## 2252 Bahrain Developing
## 2253 Syrian Arab Republic Developing
## 2254 Georgia Developing
## 2255 Yemen Developing
## 2256 Switzerland Developed
## 2257 Germany Developed
## 2258 Luxembourg Developed
## 2259 France Developing
## 2260 Belgium Developed
## 2261 Austria Developed
## 2262 Germany Developed
## 2263 Austria Developed
## 2264 Netherlands Developed
## 2265 Luxembourg Developed
## 2266 Switzerland Developed
## 2267 Belgium Developed
## 2268 France Developing
## 2269 Luxembourg Developed
## 2270 Austria Developed
## 2271 Switzerland Developed
## 2272 France Developing
## 2273 Germany Developed
## 2274 Netherlands Developed
## 2275 Belgium Developed
## 2276 Netherlands Developed
## 2277 France Developing
## 2278 Austria Developed
## 2279 Belgium Developed
## 2280 France Developing
## 2281 Luxembourg Developed
## 2282 Netherlands Developed
## 2283 Germany Developed
## 2284 Switzerland Developed
## 2285 France Developing
## 2286 Belgium Developed
## 2287 Luxembourg Developed
## 2288 Austria Developed
## 2289 Switzerland Developed
## 2290 Netherlands Developed
## 2291 Germany Developed
## 2292 Luxembourg Developed
## 2293 Netherlands Developed
## 2294 France Developing
## 2295 Belgium Developed
## 2296 Germany Developed
## 2297 Austria Developed
## 2298 Switzerland Developed
## 2299 Netherlands Developed
## 2300 Switzerland Developed
## 2301 Austria Developed
## 2302 Luxembourg Developed
## 2303 Belgium Developed
## 2304 Germany Developed
## 2305 France Developing
## 2306 France Developing
## 2307 Switzerland Developed
## 2308 Germany Developed
## 2309 Luxembourg Developed
## 2310 Netherlands Developed
## 2311 Luxembourg Developed
## 2312 Netherlands Developed
## 2313 Belgium Developed
## 2314 Germany Developed
## 2315 Switzerland Developed
## 2316 France Developing
## 2317 Austria Developed
## 2318 Netherlands Developed
## 2319 France Developing
## 2320 Germany Developed
## 2321 Netherlands Developed
## 2322 Luxembourg Developed
## 2323 Austria Developed
## 2324 Belgium Developed
## 2325 France Developing
## 2326 Netherlands Developed
## 2327 Austria Developed
## 2328 Switzerland Developed
## 2329 Germany Developed
## 2330 Belgium Developed
## 2331 France Developing
## 2332 Luxembourg Developed
## 2333 Belgium Developed
## 2334 Germany Developed
## 2335 Monaco Developing
## 2336 Austria Developed
## 2337 Netherlands Developed
## 2338 Luxembourg Developed
## 2339 Belgium Developed
## 2340 Germany Developed
## 2341 Netherlands Developed
## 2342 France Developing
## 2343 Luxembourg Developed
## 2344 Austria Developed
## 2345 Switzerland Developed
## 2346 Germany Developed
## 2347 France Developing
## 2348 Switzerland Developed
## 2349 Luxembourg Developed
## 2350 Belgium Developed
## Life.expectancy Adult.Mortality infant.deaths Alcohol
## 1 78.6 87 0 8.910
## 2 79.5 78 1 10.170
## 3 79.9 75 1 9.530
## 4 78.5 83 0 8.750
## 5 78.7 83 0 9.130
## 6 79.9 73 1 9.840
## 7 83.0 71 1 9.970
## 8 79.1 82 0 8.910
## 9 86.0 69 1 9.840
## 10 79.2 79 0 9.150
## 11 79.9 78 0 9.310
## 12 81.0 67 1 10.300
## 13 79.9 76 0 9.340
## 14 81.2 66 1 10.310
## 15 81.3 66 1 10.560
## 16 81.3 66 1 10.760
## 17 85.0 73 0 9.240
## 18 89.0 71 0 9.620
## 19 82.0 63 1 10.300
## 20 86.0 72 0 9.470
## 21 81.1 7 0 9.200
## 22 82.3 61 1 10.030
## 23 81.3 69 0 9.180
## 24 82.5 61 1 9.870
## 25 81.5 67 0 9.070
## 26 81.6 66 0 8.700
## 27 82.8 59 1 3.755
## 28 66.6 225 4 2.130
## 29 63.8 224 7 2.900
## 30 63.9 292 9 6.000
## 31 63.7 198 14 0.370
## 32 64.4 284 8 5.750
## 33 64.0 194 13 0.860
## 34 64.0 221 7 2.350
## 35 67.4 185 28 1.530
## 36 67.1 186 27 1.470
## 37 63.3 229 7 2.330
## 38 64.3 193 12 0.600
## 39 67.2 183 25 1.540
## 40 66.6 217 4 3.520
## 41 64.4 282 8 6.580
## 42 63.4 231 7 2.880
## 43 67.1 218 4 3.410
## 44 65.9 177 11 0.380
## 45 63.5 238 6 2.860
## 46 64.7 287 8 6.550
## 47 65.5 194 10 0.370
## 48 66.7 234 4 2.480
## 49 67.6 185 23 1.960
## 50 65.9 183 10 0.380
## 51 65.0 295 8 7.080
## 52 63.7 245 6 2.710
## 53 64.1 241 6 2.580
## 54 67.2 229 4 2.770
## 55 65.3 288 8 7.440
## 56 67.8 184 22 2.150
## 57 66.1 181 10 0.350
## 58 67.9 184 22 2.360
## 59 66.6 258 8 7.600
## 60 67.6 217 4 2.530
## 61 66.4 178 10 0.320
## 62 64.5 235 6 2.400
## 63 67.8 235 7 6.640
## 64 68.5 21 4 2.390
## 65 65.6 215 6 2.350
## 66 66.7 174 10 0.300
## 67 68.3 183 20 2.730
## 68 65.8 211 7 2.480
## 69 68.1 166 10 0.320
## 70 69.4 188 4 3.280
## 71 68.5 183 19 2.830
## 72 65.6 217 7 2.550
## 73 68.5 224 7 6.630
## 74 69.9 18 3 0.010
## 75 65.6 22 7 2.750
## 76 69.1 214 6 6.820
## 77 68.8 164 10 0.010
## 78 68.8 184 18 0.010
## 79 77.0 174 3 0.010
## 80 65.4 228 7 2.930
## 81 69.1 185 17 0.010
## 82 69.5 28 5 6.480
## 83 69.2 184 16 0.010
## 84 69.6 162 10 0.010
## 85 69.9 22 5 6.290
## 86 66.0 217 7 2.900
## 87 78.0 17 3 0.010
## 88 69.4 184 15 3.755
## 89 71.7 115 490 3.060
## 90 76.0 116 4 10.330
## 91 81.1 74 4 7.970
## 92 63.2 266 2 2.870
## 93 72.2 11 457 2.840
## 94 81.5 72 4 8.030
## 95 76.7 17 3 11.450
## 96 77.1 99 3 9.550
## 97 63.8 263 2 2.430
## 98 81.8 7 3 7.870
## 99 64.0 271 2 1.310
## 100 73.1 13 391 2.960
## 101 68.1 165 12 3.130
## 102 78.2 89 3 9.180
## 103 68.4 165 11 3.130
## 104 82.1 68 3 7.700
## 105 64.0 284 2 1.750
## 106 78.7 84 2 9.030
## 107 64.5 274 2 2.750
## 108 82.0 69 3 7.990
## 109 68.5 165 10 3.210
## 110 82.4 68 3 7.490
## 111 65.0 271 2 2.910
## 112 79.4 79 2 8.830
## 113 74.2 98 307 3.280
## 114 68.5 165 10 3.280
## 115 68.5 166 9 3.130
## 116 65.9 26 2 3.790
## 117 79.8 77 2 9.050
## 118 83.0 75 2 9.310
## 119 82.7 66 3 7.110
## 120 74.5 97 266 4.270
## 121 68.6 164 9 3.160
## 122 67.4 225 2 4.260
## 123 83.0 64 3 7.090
## 124 68.7 161 9 3.350
## 125 66.9 235 1 4.610
## 126 83.0 62 3 6.900
## 127 87.0 74 2 9.230
## 128 66.3 25 1 5.800
## 129 69.0 157 8 3.120
## 130 75.0 92 231 5.750
## 131 81.1 72 2 9.340
## 132 82.5 64 3 7.390
## 133 75.2 91 215 5.630
## 134 67.3 235 1 0.010
## 135 81.2 69 1 9.560
## 136 69.8 149 7 3.610
## 137 83.3 58 2 7.390
## 138 75.4 89 201 5.740
## 139 67.8 231 1 0.010
## 140 83.5 56 2 7.550
## 141 81.7 68 1 9.330
## 142 71.0 146 6 3.350
## 143 83.5 57 2 0.010
## 144 82.0 66 1 0.010
## 145 68.4 225 1 0.010
## 146 75.8 86 171 5.780
## 147 76.0 139 6 3.755
## 148 76.1 85 157 3.755
## 149 68.8 222 1 3.755
## 150 82.3 64 1 3.755
## 151 83.7 55 2 3.755
## 152 74.7 126 0 13.220
## 153 73.7 153 3 8.400
## 154 71.7 193 1 12.220
## 155 65.0 37 22 10.180
## 156 67.1 235 1 9.890
## 157 67.5 257 6 4.490
## 158 73.0 147 0 11.060
## 159 68.0 247 1 12.980
## 160 71.1 163 1 9.690
## 161 77.0 175 4 10.160
## 162 65.1 38 21 10.470
## 163 78.0 179 4 9.780
## 164 67.6 228 1 10.980
## 165 67.7 254 1 10.740
## 166 75.1 123 0 13.360
## 167 67.7 253 6 4.310
## 168 71.6 16 1 10.720
## 169 74.2 149 3 7.740
## 170 72.3 185 1 13.180
## 171 73.3 145 0 10.730
## 172 67.5 225 1 6.710
## 173 73.7 145 0 10.780
## 174 75.3 12 0 13.470
## 175 67.6 256 6 4.890
## 176 67.2 262 1 12.230
## 177 74.5 145 3 8.020
## 178 77.0 178 4 9.620
## 179 67.7 253 1 11.170
## 180 67.6 256 6 5.920
## 181 75.2 122 0 13.010
## 182 72.5 184 1 13.240
## 183 73.8 144 0 9.850
## 184 71.1 174 4 8.780
## 185 72.0 155 1 11.190
## 186 64.6 322 20 11.320
## 187 67.6 226 1 8.150
## 188 74.7 142 3 9.060
## 189 68.2 247 1 12.050
## 190 72.2 157 1 10.960
## 191 64.9 321 19 11.500
## 192 72.9 18 1 13.280
## 193 74.1 138 0 10.030
## 194 68.0 225 1 12.270
## 195 71.7 165 4 9.820
## 196 67.4 267 5 6.790
## 197 74.9 143 2 9.190
## 198 75.9 114 0 13.190
## 199 74.0 141 0 10.810
## 200 72.1 16 1 10.480
## 201 75.0 144 2 9.500
## 202 72.9 182 1 12.940
## 203 67.0 278 5 7.310
## 204 65.0 327 18 11.570
## 205 71.9 162 3 7.680
## 206 73.4 177 1 13.160
## 207 68.9 243 1 12.600
## 208 68.0 242 1 8.360
## 209 74.3 138 0 10.280
## 210 75.2 144 2 10.400
## 211 67.7 267 5 7.990
## 212 76.5 19 0 13.030
## 213 66.4 3 17 11.790
## 214 72.2 161 1 10.390
## 215 68.3 237 1 9.660
## 216 76.8 17 0 13.430
## 217 72.6 157 1 10.890
## 218 72.9 154 3 10.600
## 219 75.3 144 2 10.900
## 220 69.8 226 1 14.220
## 221 74.4 14 0 10.580
## 222 67.3 282 16 12.190
## 223 67.5 277 5 8.860
## 224 72.9 155 1 10.980
## 225 70.0 224 1 14.670
## 226 74.1 165 1 11.640
## 227 74.7 136 0 11.370
## 228 73.1 159 2 11.900
## 229 75.5 14 2 11.400
## 230 67.5 278 16 12.040
## 231 74.2 162 0 11.460
## 232 75.7 136 2 10.700
## 233 73.2 152 1 10.930
## 234 77.1 12 0 13.230
## 235 75.0 131 0 10.630
## 236 69.0 218 1 8.450
## 237 69.2 231 5 8.710
## 238 68.2 261 15 11.210
## 239 69.8 212 5 8.390
## 240 73.0 222 0 14.440
## 241 74.5 156 0 10.780
## 242 75.1 124 0 10.130
## 243 73.4 153 2 9.000
## 244 68.8 219 1 8.250
## 245 73.4 147 1 10.800
## 246 68.4 256 15 11.050
## 247 74.3 139 2 9.100
## 248 75.6 122 0 10.240
## 249 76.7 128 2 10.930
## 250 75.0 24 5 8.480
## 251 72.0 232 0 17.310
## 252 77.0 177 1 9.450
## 253 77.8 97 0 12.430
## 254 74.8 15 0 11.510
## 255 71.9 194 0 16.350
## 256 75.8 118 0 10.120
## 257 78.0 93 0 12.710
## 258 77.0 25 5 8.440
## 259 79.0 175 1 10.680
## 260 75.0 146 0 11.270
## 261 78.2 9 0 12.450
## 262 71.7 163 1 10.490
## 263 70.0 229 14 10.580
## 264 71.0 198 4 8.440
## 265 71.7 23 0 14.660
## 266 74.1 14 1 12.060
## 267 77.1 12 2 11.630
## 268 74.6 138 2 9.590
## 269 73.0 225 13 10.120
## 270 74.8 135 2 0.010
## 271 77.3 12 2 10.710
## 272 74.3 138 1 12.030
## 273 75.6 137 0 0.010
## 274 71.8 162 1 9.990
## 275 78.0 23 4 8.060
## 276 75.8 134 0 3.755
## 277 78.8 86 0 3.755
## 278 76.7 19 0 3.755
## 279 72.1 157 1 3.755
## 280 75.0 222 13 3.755
## 281 77.5 117 2 3.755
## 282 75.0 133 2 3.755
## 283 72.3 196 0 3.755
## 284 69.0 218 4 2.790
## 285 58.6 35 20 4.790
## 286 76.9 115 1 3.920
## 287 71.4 167 18 4.660
## 288 68.3 196 0 4.790
## 289 67.4 224 0 4.290
## 290 79.0 172 4 6.780
## 291 73.3 127 0 7.430
## 292 72.6 171 1 3.460
## 293 73.0 192 4 3.610
## 294 69.1 197 0 4.680
## 295 71.6 183 0 11.690
## 296 73.6 156 0 7.270
## 297 72.5 168 11 8.010
## 298 71.0 174 6 2.610
## 299 74.0 182 0 9.400
## 300 71.4 154 18 4.590
## 301 77.3 13 2 6.240
## 302 67.7 221 17 2.630
## 303 75.0 183 111 7.260
## 304 62.6 243 15 2.320
## 305 72.8 163 9 3.990
## 306 75.7 121 2 5.580
## 307 73.4 125 0 7.380
## 308 75.2 123 1 6.480
## 309 71.2 17 4 6.660
## 310 74.0 138 12 7.760
## 311 73.8 154 0 7.510
## 312 68.2 21 0 4.900
## 313 68.9 219 4 2.880
## 314 58.9 35 19 6.220
## 315 65.4 247 1 6.710
## 316 68.4 211 16 2.530
## 317 72.7 171 1 3.890
## 318 71.5 165 17 4.430
## 319 75.0 126 52 4.860
## 320 79.0 186 0 4.730
## 321 77.3 16 2 6.100
## 322 69.1 194 0 4.550
## 323 77.5 1 1 4.290
## 324 77.0 178 0 9.610
## 325 73.0 193 4 3.510
## 326 72.5 169 10 8.050
## 327 72.4 142 17 4.220
## 328 71.8 178 0 12.030
## 329 71.2 188 7 6.130
## 330 71.3 171 6 2.740
## 331 73.0 167 1 3.760
## 332 68.5 199 0 4.990
## 333 65.3 244 1 7.730
## 334 73.0 24 3 2.970
## 335 73.5 123 0 7.590
## 336 71.5 168 4 5.660
## 337 75.7 125 1 5.520
## 338 77.8 11 2 6.060
## 339 74.1 138 12 7.810
## 340 75.0 127 49 4.770
## 341 67.9 221 0 4.410
## 342 75.4 124 1 5.860
## 343 78.3 99 1 4.170
## 344 71.8 163 17 4.450
## 345 71.4 176 95 7.000
## 346 79.0 186 0 4.940
## 347 79.0 176 0 10.710
## 348 75.0 197 4 3.500
## 349 72.0 174 0 11.850
## 350 59.3 33 19 6.100
## 351 71.6 169 6 3.090
## 352 72.6 144 16 4.030
## 353 73.6 157 8 3.880
## 354 73.1 167 10 6.890
## 355 63.9 234 14 2.260
## 356 71.1 173 0 9.750
## 357 77.4 18 1 4.390
## 358 78.0 1 1 4.040
## 359 73.1 166 1 3.480
## 360 68.4 21 0 5.670
## 361 75.5 126 1 5.520
## 362 65.3 237 1 7.930
## 363 69.4 24 15 2.450
## 364 71.9 166 6 3.040
## 365 73.7 121 0 7.650
## 366 75.0 127 46 4.880
## 367 74.4 151 8 3.690
## 368 77.9 1 2 6.370
## 369 74.1 137 11 7.620
## 370 73.2 189 0 10.680
## 371 72.1 152 15 4.500
## 372 68.0 223 0 4.530
## 373 76.0 198 4 3.770
## 374 74.2 151 0 7.160
## 375 72.4 15 16 4.250
## 376 72.4 172 10 6.300
## 377 73.0 22 7 6.320
## 378 71.0 184 0 5.100
## 379 69.4 19 0 5.820
## 380 73.3 165 1 3.670
## 381 78.0 97 2 6.320
## 382 65.1 237 1 7.840
## 383 71.0 194 4 3.810
## 384 72.0 17 81 6.850
## 385 73.8 119 0 7.680
## 386 72.2 165 5 3.020
## 387 72.6 166 0 11.930
## 388 74.4 149 0 7.280
## 389 65.1 226 12 2.660
## 390 75.4 124 44 4.900
## 391 68.7 197 0 6.200
## 392 68.3 214 0 4.550
## 393 69.6 21 15 2.400
## 394 73.0 187 0 8.430
## 395 75.4 122 1 5.660
## 396 69.3 214 7 5.160
## 397 71.2 181 0 5.420
## 398 77.7 12 1 4.090
## 399 58.7 32 18 6.100
## 400 71.2 194 3 3.700
## 401 74.2 151 8 3.540
## 402 72.5 163 5 3.230
## 403 71.0 213 3 2.770
## 404 74.1 172 0 10.490
## 405 78.6 97 1 4.100
## 406 75.3 126 42 4.930
## 407 69.7 28 7 5.710
## 408 73.6 158 9 7.920
## 409 69.5 189 0 6.120
## 410 65.7 222 12 2.860
## 411 73.1 16 0 12.320
## 412 69.2 28 14 2.350
## 413 72.8 148 13 4.440
## 414 72.7 163 75 6.970
## 415 73.9 117 0 8.010
## 416 73.5 161 1 3.590
## 417 65.0 29 17 5.570
## 418 74.9 127 11 7.530
## 419 65.0 238 1 7.350
## 420 72.1 163 3 6.380
## 421 71.4 177 0 6.040
## 422 73.1 144 15 4.380
## 423 75.7 123 1 6.350
## 424 76.2 117 1 6.580
## 425 61.1 28 17 6.180
## 426 72.8 161 5 3.230
## 427 76.2 125 1 5.720
## 428 72.3 178 7 6.200
## 429 73.0 17 3 3.690
## 430 69.6 188 0 6.350
## 431 74.2 171 0 11.070
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## 1704 61.3 236 23 0.340
## 1705 49.8 396 549 9.660
## 1706 59.7 336 7 0.970
## 1707 48.2 375 87 6.350
## 1708 55.5 41 88 9.650
## 1709 59.9 28 41 1.250
## 1710 72.9 161 0 3.240
## 1711 55.0 32 5 2.980
## 1712 56.4 36 31 0.190
## 1713 49.4 394 46 0.420
## 1714 56.9 436 2 6.210
## 1715 52.6 487 32 2.080
## 1716 53.1 381 27 3.755
## 1717 65.1 217 0 4.140
## 1718 52.1 425 74 1.030
## 1719 72.3 126 0 5.280
## 1720 62.0 329 6 1.230
## 1721 48.5 559 37 1.180
## 1722 49.9 443 61 2.580
## 1723 54.5 411 94 4.400
## 1724 46.6 67 29 3.880
## 1725 72.2 185 0 8.120
## 1726 61.9 261 35 0.710
## 1727 58.5 39 186 1.060
## 1728 55.9 344 14 1.370
## 1729 45.3 45 29 3.860
## 1730 59.8 296 1 0.450
## 1731 55.2 276 53 0.100
## 1732 60.0 356 3 5.120
## 1733 57.1 283 25 1.120
## 1734 53.6 395 57 5.440
## 1735 62.1 23 22 0.320
## 1736 55.0 282 56 0.550
## 1737 66.0 259 2 0.160
## 1738 61.2 219 8 0.020
## 1739 56.8 356 66 1.970
## 1740 46.8 495 17 1.500
## 1741 58.5 288 3 2.640
## 1742 57.5 427 2 6.560
## 1743 61.7 317 3 6.280
## 1744 72.4 124 0 4.160
## 1745 56.8 33 30 0.210
## 1746 56.3 295 237 2.090
## 1747 63.0 275 41 1.780
## 1748 62.8 225 22 0.280
## 1749 65.4 215 0 4.360
## 1750 62.3 259 34 0.680
## 1751 55.5 278 55 0.570
## 1752 55.7 45 31 2.120
## 1753 59.0 386 536 9.300
## 1754 67.0 322 6 0.490
## 1755 55.3 35 23 4.330
## 1756 48.2 632 30 3.560
## 1757 47.8 592 5 2.750
## 1758 72.2 184 0 6.330
## 1759 55.6 297 5 2.640
## 1760 54.0 437 60 2.690
## 1761 47.6 477 17 1.520
## 1762 56.1 288 45 4.500
## 1763 62.0 289 1 0.490
## 1764 56.0 272 52 0.120
## 1765 57.6 278 25 1.280
## 1766 59.4 338 8 2.580
## 1767 50.0 525 36 1.270
## 1768 58.7 287 3 2.790
## 1769 49.6 394 46 0.450
## 1770 61.4 217 8 0.020
## 1771 57.9 339 64 1.710
## 1772 51.4 477 3 4.870
## 1773 56.3 41 84 9.790
## 1774 54.2 382 56 5.900
## 1775 48.7 371 84 7.070
## 1776 56.2 376 92 3.440
## 1777 46.2 441 29 3.910
## 1778 68.0 282 18 6.390
## 1779 49.4 566 4 2.750
## 1780 72.3 182 0 4.940
## 1781 61.7 31 2 8.640
## 1782 54.3 369 27 3.755
## 1783 57.1 263 51 0.110
## 1784 52.6 46 3 4.900
## 1785 62.8 254 33 0.910
## 1786 57.3 297 29 0.180
## 1787 56.0 276 55 0.590
## 1788 72.4 124 0 4.450
## 1789 55.7 34 3 7.970
## 1790 56.2 338 23 4.050
## 1791 53.8 4 70 1.180
## 1792 68.0 274 169 1.170
## 1793 63.5 219 21 0.300
## 1794 56.5 449 46 7.600
## 1795 57.0 37 46 0.470
## 1796 50.0 587 30 4.640
## 1797 61.0 288 17 7.110
## 1798 51.0 426 60 2.920
## 1799 69.0 279 1 0.490
## 1800 61.4 311 6 0.630
## 1801 59.0 286 3 2.990
## 1802 61.3 251 2 0.170
## 1803 52.2 335 52 0.010
## 1804 61.7 215 8 0.010
## 1805 57.5 378 82 9.630
## 1806 66.0 271 41 1.760
## 1807 49.1 369 81 7.010
## 1808 51.6 376 527 9.050
## 1809 56.7 292 238 2.130
## 1810 51.5 491 36 1.160
## 1811 59.1 317 62 1.860
## 1812 72.8 166 0 2.830
## 1813 56.9 283 44 4.550
## 1814 68.0 314 7 3.470
## 1815 57.4 368 30 2.300
## 1816 59.2 277 10 3.750
## 1817 47.1 433 28 3.970
## 1818 58.4 259 25 1.160
## 1819 65.8 21 0 4.130
## 1820 56.3 288 4 2.550
## 1821 51.1 527 4 2.710
## 1822 55.3 37 53 6.150
## 1823 58.2 252 50 0.120
## 1824 59.3 284 3 3.480
## 1825 54.0 47 69 0.960
## 1826 72.4 18 0 6.510
## 1827 56.8 33 23 4.160
## 1828 52.4 336 52 0.010
## 1829 61.3 273 1 0.440
## 1830 63.3 248 32 1.030
## 1831 58.0 428 43 7.280
## 1832 58.7 254 25 1.330
## 1833 63.0 299 3 7.580
## 1834 61.1 349 2 5.990
## 1835 49.2 446 17 1.670
## 1836 52.9 462 35 1.080
## 1837 58.0 363 30 2.470
## 1838 58.4 362 79 10.030
## 1839 62.1 298 6 0.610
## 1840 49.6 365 78 7.800
## 1841 64.3 212 21 0.280
## 1842 52.0 374 521 8.900
## 1843 69.0 267 40 1.690
## 1844 73.3 163 0 2.950
## 1845 56.5 273 54 0.600
## 1846 57.4 323 14 1.210
## 1847 62.0 298 7 3.530
## 1848 51.2 364 46 0.500
## 1849 52.4 527 29 5.210
## 1850 56.1 339 3 9.930
## 1851 62.0 214 8 0.010
## 1852 57.5 279 43 4.550
## 1853 66.2 24 0 5.580
## 1854 57.4 283 239 1.810
## 1855 51.5 417 60 3.150
## 1856 56.7 287 4 3.210
## 1857 48.1 424 27 3.840
## 1858 62.8 26 16 7.920
## 1859 59.7 272 9 3.640
## 1860 58.3 34 14 1.440
## 1861 64.3 268 3 7.840
## 1862 63.8 241 31 0.970
## 1863 62.8 289 2 8.900
## 1864 52.3 52 4 2.390
## 1865 72.6 177 0 9.720
## 1866 49.8 443 16 1.660
## 1867 62.2 325 2 5.760
## 1868 54.3 47 66 0.940
## 1869 51.7 419 60 3.130
## 1870 57.4 321 22 4.160
## 1871 55.6 371 51 6.190
## 1872 54.1 441 32 1.230
## 1873 59.1 251 25 1.400
## 1874 62.6 249 156 1.320
## 1875 52.3 375 513 8.750
## 1876 57.9 278 239 1.820
## 1877 58.1 275 42 4.510
## 1878 59.8 277 3 3.410
## 1879 55.0 438 2 5.200
## 1880 62.9 286 6 0.620
## 1881 51.0 361 75 8.060
## 1882 58.1 29 28 0.220
## 1883 51.6 365 46 0.560
## 1884 62.2 212 8 0.010
## 1885 58.9 413 43 7.380
## 1886 62.9 285 7 3.820
## 1887 48.9 418 26 3.780
## 1888 54.9 464 28 6.000
## 1889 59.3 347 76 10.220
## 1890 55.4 355 27 3.755
## 1891 57.1 289 4 3.570
## 1892 61.2 263 40 1.640
## 1893 61.2 278 60 1.800
## 1894 63.8 247 14 8.340
## 1895 66.6 198 0 5.690
## 1896 65.8 232 3 0.010
## 1897 54.8 48 64 1.190
## 1898 52.2 513 4 0.010
## 1899 53.0 439 16 0.010
## 1900 62.1 263 59 1.810
## 1901 63.0 232 49 0.010
## 1902 52.0 415 59 3.240
## 1903 58.9 294 14 0.010
## 1904 62.2 263 1 0.520
## 1905 56.6 429 26 6.090
## 1906 67.0 261 9 0.010
## 1907 62.5 29 8 0.010
## 1908 62.0 269 3 0.010
## 1909 55.3 42 31 0.010
## 1910 56.0 358 72 8.240
## 1911 55.9 369 50 0.010
## 1912 52.7 374 505 8.540
## 1913 61.6 257 39 0.010
## 1914 60.0 339 73 0.010
## 1915 58.6 348 87 3.980
## 1916 63.7 273 7 0.010
## 1917 63.3 241 150 1.840
## 1918 63.4 3 2 0.010
## 1919 72.7 121 0 0.010
## 1920 51.8 367 46 0.620
## 1921 57.2 27 53 0.010
## 1922 62.5 237 2 0.010
## 1923 58.6 271 41 4.750
## 1924 59.3 251 25 0.010
## 1925 63.6 274 6 0.010
## 1926 59.2 48 43 7.380
## 1927 56.5 412 2 0.010
## 1928 57.6 285 4 0.010
## 1929 65.6 2 20 0.280
## 1930 56.7 337 3 11.890
## 1931 64.6 239 13 0.010
## 1932 58.4 288 28 0.010
## 1933 62.6 258 58 1.840
## 1934 52.1 518 4 0.010
## 1935 67.1 192 0 0.010
## 1936 58.8 272 238 0.010
## 1937 51.1 355 69 8.100
## 1938 52.3 412 59 3.150
## 1939 49.9 451 16 0.010
## 1940 59.5 251 25 0.010
## 1941 64.7 23 29 0.870
## 1942 69.0 227 49 0.010
## 1943 72.9 172 0 0.010
## 1944 59.4 287 14 0.010
## 1945 63.7 237 145 1.860
## 1946 52.2 366 46 0.640
## 1947 67.0 325 71 0.010
## 1948 57.3 275 53 0.010
## 1949 59.0 27 40 4.640
## 1950 66.0 266 3 0.010
## 1951 62.7 28 8 0.010
## 1952 55.3 46 62 1.160
## 1953 56.4 345 26 3.755
## 1954 58.0 399 25 6.390
## 1955 64.2 286 2 0.010
## 1956 56.4 364 48 0.010
## 1957 74.1 147 0 0.010
## 1958 61.9 254 38 0.010
## 1959 57.4 327 3 10.720
## 1960 58.1 279 4 0.010
## 1961 56.7 394 29 0.010
## 1962 62.7 256 1 0.530
## 1963 66.0 196 20 0.260
## 1964 65.2 233 12 0.010
## 1965 53.2 367 498 8.300
## 1966 64.0 266 6 0.010
## 1967 59.7 323 86 4.200
## 1968 54.2 318 51 0.010
## 1969 54.0 47 23 0.010
## 1970 72.8 12 0 0.010
## 1971 61.4 223 49 0.010
## 1972 59.7 252 25 0.010
## 1973 65.9 242 2 0.010
## 1974 52.1 522 4 0.010
## 1975 65.1 268 2 0.010
## 1976 59.3 266 237 0.010
## 1977 59.2 371 23 6.500
## 1978 52.8 47 58 0.010
## 1979 57.6 377 27 0.010
## 1980 65.7 23 12 0.010
## 1981 56.6 343 26 3.755
## 1982 58.4 282 4 0.010
## 1983 58.0 437 15 0.010
## 1984 59.3 268 39 0.010
## 1985 61.5 38 68 0.010
## 1986 62.1 253 37 0.010
## 1987 59.1 297 22 0.010
## 1988 61.1 314 28 0.010
## 1989 56.7 375 61 0.010
## 1990 58.4 382 2 0.010
## 1991 58.1 299 27 0.010
## 1992 67.3 191 0 0.010
## 1993 48.1 463 23 0.010
## 1994 74.2 148 0 0.010
## 1995 66.4 192 19 0.260
## 1996 63.2 23 1 0.010
## 1997 63.0 252 1 0.380
## 1998 58.1 329 8 0.010
## 1999 64.2 234 140 0.010
## 2000 63.0 26 8 0.010
## 2001 53.6 362 490 0.010
## 2002 73.0 117 0 0.010
## 2003 52.6 362 46 0.010
## 2004 64.2 275 7 0.010
## 2005 68.0 266 3 0.010
## 2006 65.5 22 28 3.755
## 2007 60.0 249 25 3.755
## 2008 73.2 168 0 3.755
## 2009 58.3 365 26 3.755
## 2010 54.5 344 483 3.755
## 2011 67.0 336 22 3.755
## 2012 57.3 332 26 3.755
## 2013 65.8 248 2 3.755
## 2014 66.0 229 2 3.755
## 2015 66.1 227 11 3.755
## 2016 59.0 284 26 3.755
## 2017 53.7 484 4 3.755
## 2018 53.3 397 57 3.755
## 2019 67.5 19 0 3.755
## 2020 63.4 249 54 3.755
## 2021 61.8 279 85 3.755
## 2022 65.7 256 2 3.755
## 2023 59.6 288 21 3.755
## 2024 58.9 275 4 3.755
## 2025 51.0 413 22 3.755
## 2026 57.6 355 60 3.755
## 2027 52.5 397 15 3.755
## 2028 57.3 357 45 3.755
## 2029 58.9 373 2 3.755
## 2030 62.3 291 66 3.755
## 2031 61.4 259 8 3.755
## 2032 55.0 312 50 3.755
## 2033 63.5 227 1 3.755
## 2034 63.5 241 1 3.755
## 2035 61.8 33 27 3.755
## 2036 62.9 328 42 3.755
## 2037 53.1 356 46 3.755
## 2038 52.4 335 66 3.755
## 2039 74.6 146 0 3.755
## 2040 73.3 114 0 3.755
## 2041 63.1 25 8 3.755
## 2042 58.2 266 52 3.755
## 2043 62.4 249 37 3.755
## 2044 64.7 255 5 3.755
## 2045 72.6 136 10 1.410
## 2046 78.1 7 0 9.560
## 2047 74.0 143 44 1.540
## 2048 70.0 144 30 0.200
## 2049 76.2 88 0 0.500
## 2050 66.6 16 9 0.650
## 2051 74.2 17 1 1.640
## 2052 72.6 11 10 0.050
## 2053 72.7 112 1 2.260
## 2054 72.0 142 1 2.900
## 2055 73.2 96 0 0.010
## 2056 71.8 129 2 3.280
## 2057 72.6 138 1 0.380
## 2058 68.0 252 48 0.070
## 2059 74.5 92 0 2.150
## 2060 72.7 135 10 1.290
## 2061 74.5 14 1 1.670
## 2062 72.0 142 30 0.170
## 2063 74.7 9 0 1.950
## 2064 79.3 74 1 2.530
## 2065 73.2 95 0 0.010
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## 2067 72.8 17 10 0.050
## 2068 72.9 134 1 0.550
## 2069 61.1 251 46 0.080
## 2070 78.0 14 41 1.490
## 2071 78.2 69 0 10.160
## 2072 72.6 141 1 2.860
## 2073 76.3 87 0 0.760
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## 2075 74.9 87 0 1.990
## 2076 73.2 17 1 1.980
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## 2078 73.3 94 0 0.010
## 2079 72.9 15 10 0.050
## 2080 74.7 11 1 1.720
## 2081 74.0 14 30 0.150
## 2082 71.7 142 2 2.720
## 2083 76.4 85 0 0.870
## 2084 67.8 146 7 0.550
## 2085 72.6 134 1 2.860
## 2086 73.4 93 0 0.030
## 2087 72.3 127 4 0.540
## 2088 73.0 134 9 1.290
## 2089 79.7 71 1 2.320
## 2090 75.0 85 0 2.160
## 2091 74.9 98 1 1.740
## 2092 73.5 15 1 2.190
## 2093 78.5 66 0 10.620
## 2094 71.6 135 35 1.420
## 2095 73.0 13 9 0.050
## 2096 76.5 85 0 1.000
## 2097 72.7 134 1 3.030
## 2098 67.8 154 7 0.550
## 2099 72.7 132 1 3.360
## 2100 61.9 249 43 0.040
## 2101 73.6 127 1 0.560
## 2102 73.5 91 0 0.020
## 2103 73.1 12 9 0.060
## 2104 76.6 84 0 1.110
## 2105 72.0 132 33 1.350
## 2106 72.3 134 1 3.740
## 2107 72.5 125 4 0.540
## 2108 78.6 65 0 13.030
## 2109 68.4 154 6 0.620
## 2110 73.7 13 1 2.100
## 2111 73.0 132 1 3.810
## 2112 75.2 83 0 2.160
## 2113 74.0 122 1 0.610
## 2114 75.1 95 1 1.770
## 2115 73.5 127 9 0.920
## 2116 66.8 29 31 0.180
## 2117 72.4 129 30 1.290
## 2118 68.4 162 6 0.730
## 2119 72.4 127 4 0.550
## 2120 73.9 128 1 4.700
## 2121 80.0 71 1 2.410
## 2122 74.3 118 1 0.630
## 2123 73.0 137 1 4.250
## 2124 62.6 245 40 0.040
## 2125 73.6 9 0 0.010
## 2126 73.1 11 9 0.050
## 2127 75.3 81 0 2.050
## 2128 75.3 92 1 1.790
## 2129 69.2 154 6 0.850
## 2130 72.8 126 28 1.290
## 2131 72.8 121 4 0.590
## 2132 76.6 83 0 1.280
## 2133 64.7 249 31 0.030
## 2134 78.8 64 0 11.470
## 2135 73.9 126 1 6.180
## 2136 63.0 242 39 0.040
## 2137 73.6 89 1 0.010
## 2138 72.9 141 1 4.010
## 2139 84.0 68 1 2.230
## 2140 74.4 98 1 1.720
## 2141 63.4 24 38 0.050
## 2142 65.9 227 31 0.140
## 2143 76.7 83 0 1.240
## 2144 73.2 124 26 1.260
## 2145 73.0 14 6 1.020
## 2146 78.9 63 0 11.560
## 2147 75.6 87 1 1.690
## 2148 84.0 68 1 2.330
## 2149 74.9 113 1 0.570
## 2150 73.7 89 1 0.030
## 2151 75.6 77 0 2.000
## 2152 73.8 121 8 0.830
## 2153 73.5 132 1 3.990
## 2154 73.8 88 1 0.030
## 2155 73.0 141 6 1.180
## 2156 76.8 82 0 1.370
## 2157 75.8 76 0 2.000
## 2158 75.8 85 1 1.860
## 2159 73.5 121 25 1.390
## 2160 73.9 128 1 7.170
## 2161 75.2 19 1 0.570
## 2162 73.3 98 9 0.090
## 2163 79.1 62 0 12.010
## 2164 73.8 122 8 0.800
## 2165 81.0 65 1 2.470
## 2166 74.7 95 1 1.620
## 2167 73.3 118 4 0.590
## 2168 79.3 6 0 10.800
## 2169 73.9 118 23 1.400
## 2170 77.0 79 0 1.110
## 2171 81.5 63 1 2.550
## 2172 78.0 132 6 2.100
## 2173 73.2 133 1 6.660
## 2174 64.1 235 36 0.030
## 2175 73.3 137 1 3.960
## 2176 74.0 148 32 0.200
## 2177 76.0 84 1 1.730
## 2178 73.4 97 8 0.090
## 2179 73.8 124 7 0.810
## 2180 76.0 74 0 1.950
## 2181 79.5 59 0 11.320
## 2182 77.3 76 0 1.160
## 2183 73.4 117 4 0.510
## 2184 73.7 94 8 0.090
## 2185 74.2 116 21 1.490
## 2186 73.8 132 1 7.240
## 2187 74.0 86 1 0.010
## 2188 74.9 94 1 1.580
## 2189 76.1 73 0 1.930
## 2190 73.5 132 1 4.230
## 2191 81.7 61 1 2.630
## 2192 75.6 16 1 0.560
## 2193 76.2 82 1 1.690
## 2194 79.7 57 0 10.690
## 2195 73.9 92 8 0.090
## 2196 74.5 114 20 1.530
## 2197 73.6 116 4 0.430
## 2198 75.0 93 1 1.570
## 2199 75.8 15 1 0.540
## 2200 71.7 163 7 0.760
## 2201 73.9 128 1 4.090
## 2202 81.8 61 1 2.670
## 2203 76.3 81 1 1.730
## 2204 76.1 76 0 1.660
## 2205 73.9 127 1 8.140
## 2206 64.6 234 35 0.040
## 2207 77.0 144 32 0.170
## 2208 73.7 115 4 0.410
## 2209 74.2 13 1 7.710
## 2210 75.0 93 1 1.530
## 2211 64.7 236 36 0.040
## 2212 76.0 147 32 0.010
## 2213 74.4 121 1 3.890
## 2214 74.1 9 8 0.090
## 2215 76.5 71 0 1.700
## 2216 76.0 14 1 0.510
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## 2218 71.9 123 5 0.010
## 2219 74.3 84 1 0.010
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## 2221 75.2 19 17 1.410
## 2222 74.5 128 1 5.910
## 2223 74.5 83 1 0.010
## 2224 76.2 12 1 0.460
## 2225 74.3 89 8 0.090
## 2226 72.2 121 5 2.140
## 2227 63.6 37 7 0.010
## 2228 81.0 54 0 9.040
## 2229 76.7 78 1 1.820
## 2230 76.7 7 0 1.650
## 2231 74.4 123 1 3.790
## 2232 69.5 17 32 0.010
## 2233 74.0 113 4 0.410
## 2234 83.0 53 0 0.010
## 2235 75.5 17 16 1.450
## 2236 74.8 99 1 1.320
## 2237 82.2 6 1 2.620
## 2238 65.4 228 37 0.010
## 2239 74.6 82 0 0.010
## 2240 74.6 12 1 3.910
## 2241 76.8 7 0 1.570
## 2242 74.1 112 4 3.755
## 2243 77.1 75 1 3.755
## 2244 74.8 118 1 3.755
## 2245 75.8 16 15 3.755
## 2246 68.9 182 32 3.755
## 2247 74.7 81 0 3.755
## 2248 74.5 88 7 3.755
## 2249 82.5 58 0 3.755
## 2250 72.7 118 5 3.755
## 2251 78.2 68 0 3.755
## 2252 76.9 69 0 3.755
## 2253 64.5 293 6 3.755
## 2254 74.4 129 1 3.755
## 2255 65.7 224 37 3.755
## 2256 79.7 78 0 11.260
## 2257 78.0 95 3 12.910
## 2258 77.8 98 0 13.140
## 2259 78.8 13 3 13.630
## 2260 77.6 11 1 11.210
## 2261 78.1 96 0 13.200
## 2262 78.3 92 3 12.460
## 2263 78.6 92 0 12.400
## 2264 78.3 82 1 9.950
## 2265 78.0 96 0 12.890
## 2266 82.0 75 0 11.120
## 2267 78.0 1 1 11.010
## 2268 79.0 13 3 13.890
## 2269 78.3 95 0 12.910
## 2270 78.7 9 0 12.500
## 2271 84.0 74 0 10.850
## 2272 79.2 11 3 13.780
## 2273 78.4 91 3 12.250
## 2274 78.4 81 1 9.680
## 2275 78.3 95 0 11.280
## 2276 78.7 8 1 9.560
## 2277 79.3 99 3 13.490
## 2278 78.8 88 0 12.200
## 2279 78.8 91 1 12.050
## 2280 82.0 94 3 13.180
## 2281 78.7 92 0 12.420
## 2282 79.2 77 1 9.560
## 2283 79.1 86 3 11.830
## 2284 81.0 69 0 10.550
## 2285 81.0 93 3 12.200
## 2286 78.9 89 0 12.270
## 2287 78.8 9 0 11.840
## 2288 79.4 85 0 12.400
## 2289 81.1 66 0 10.150
## 2290 79.4 72 1 9.690
## 2291 79.2 85 3 11.670
## 2292 79.4 85 0 11.980
## 2293 79.8 71 1 9.790
## 2294 86.0 92 3 12.400
## 2295 79.4 85 0 10.980
## 2296 79.6 84 3 11.760
## 2297 79.8 81 0 12.400
## 2298 81.5 65 0 10.240
## 2299 82.0 68 1 9.530
## 2300 81.7 63 0 10.440
## 2301 81.0 8 0 12.500
## 2302 79.7 82 0 11.750
## 2303 79.5 86 0 10.250
## 2304 79.8 82 3 11.500
## 2305 89.0 89 3 12.200
## 2306 89.0 88 3 11.900
## 2307 82.0 6 0 10.290
## 2308 79.9 8 2 11.360
## 2309 80.0 8 0 11.530
## 2310 83.0 68 1 9.620
## 2311 83.0 76 0 11.420
## 2312 86.0 65 1 9.230
## 2313 79.8 85 0 10.050
## 2314 80.0 79 2 11.220
## 2315 82.1 6 0 10.150
## 2316 81.1 88 3 11.800
## 2317 84.0 75 0 12.100
## 2318 88.0 64 1 9.330
## 2319 81.3 86 3 11.700
## 2320 85.0 74 2 11.200
## 2321 81.1 63 1 8.960
## 2322 88.0 72 0 11.500
## 2323 88.0 73 0 12.040
## 2324 83.0 8 0 10.110
## 2325 81.7 83 3 11.800
## 2326 81.1 62 1 9.050
## 2327 88.0 7 0 12.260
## 2328 82.7 54 0 9.860
## 2329 86.0 71 2 11.180
## 2330 83.0 78 0 10.080
## 2331 81.5 83 3 11.500
## 2332 81.1 7 0 11.340
## 2333 87.0 77 0 11.770
## 2334 86.0 71 2 10.940
## 2335 72.1 144 0 0.010
## 2336 81.1 68 0 11.820
## 2337 81.4 6 1 8.680
## 2338 81.4 68 0 11.020
## 2339 89.0 76 0 12.600
## 2340 89.0 69 2 11.030
## 2341 81.7 58 1 0.010
## 2342 82.2 79 3 11.500
## 2343 81.7 65 0 11.120
## 2344 81.4 66 0 12.320
## 2345 83.2 51 0 9.610
## 2346 81.0 68 2 3.755
## 2347 82.4 78 2 3.755
## 2348 83.4 49 0 3.755
## 2349 82.0 63 0 3.755
## 2350 81.1 74 0 3.755
## percentage.expenditure Hepatitis.B.x Measles BMI under.five.deaths Polio
## 1 2.143021e+03 9.0 65 58.9 0 82
## 2 3.471874e+02 9.0 108 58.2 2 9
## 3 3.064301e+03 94.0 141 59.0 2 91
## 4 2.205986e+03 9.0 65 59.6 0 82
## 5 2.892257e+03 89.0 21 6.3 0 84
## 6 4.638718e+01 95.0 32 59.6 2 92
## 7 3.829551e+03 95.0 91 6.3 1 92
## 8 3.661793e+03 89.0 66 6.9 0 86
## 9 5.885684e+02 95.0 70 6.9 1 92
## 10 4.423775e+02 88.0 33 61.5 0 87
## 11 4.910559e+02 87.0 20 62.1 0 89
## 12 5.791332e+02 95.0 10 61.5 2 92
## 13 4.962228e+02 87.0 20 62.6 0 89
## 14 6.187062e+03 95.0 0 62.0 2 92
## 15 8.725986e+02 94.0 11 62.5 2 92
## 16 8.547292e+03 94.0 65 62.9 1 92
## 17 6.357705e+01 93.0 198 64.3 0 92
## 18 6.664149e+03 9.0 43 64.8 0 93
## 19 1.098627e+04 92.0 190 64.4 1 92
## 20 8.342406e+03 95.0 597 65.3 0 95
## 21 9.245654e+02 93.0 68 65.9 0 93
## 22 1.171500e+04 91.0 199 65.0 1 92
## 23 1.001908e+04 93.0 8 66.4 0 92
## 24 1.173485e+04 91.0 158 65.5 1 91
## 25 1.040278e+03 93.0 280 66.9 0 93
## 26 0.000000e+00 92.0 10 67.5 0 92
## 27 0.000000e+00 93.0 74 66.6 1 93
## 28 0.000000e+00 44.0 16 35.6 5 99
## 29 8.824363e+01 71.5 113 37.5 9 98
## 30 1.125412e+02 99.0 245 43.9 10 96
## 31 8.943006e+00 71.5 192 31.3 17 86
## 32 1.260884e+01 95.0 94 44.4 10 95
## 33 1.142004e+00 76.0 38 31.6 16 84
## 34 1.061807e+02 76.0 9 38.1 9 94
## 35 4.366386e+01 76.0 22 35.3 34 99
## 36 2.499439e+01 62.0 25 35.9 32 99
## 37 1.303785e+02 96.0 11 38.7 8 99
## 38 1.068147e+01 39.0 927 32.1 15 84
## 39 2.852136e+01 99.0 85 36.4 30 99
## 40 0.000000e+00 99.0 6 37.0 4 98
## 41 2.343401e+01 99.0 24 45.3 9 99
## 42 1.796156e+02 97.0 1 39.4 8 66
## 43 0.000000e+00 99.0 8 37.5 4 98
## 44 2.093722e+00 81.0 4 33.0 13 82
## 45 1.861014e+02 96.0 1 4.0 8 98
## 46 3.391660e+01 99.0 2204 45.8 9 99
## 47 1.983672e+01 81.0 0 33.5 12 79
## 48 0.000000e+00 9.0 27 38.5 4 93
## 49 7.727092e+01 98.0 823 38.1 27 94
## 50 2.626235e+00 88.0 3 34.1 12 76
## 51 7.619869e+01 99.0 109 46.8 9 99
## 52 2.927235e+01 98.0 48 41.3 8 98
## 53 3.586514e-01 98.0 59 42.0 8 98
## 54 0.000000e+00 94.0 40 39.0 4 94
## 55 4.997304e+02 94.0 13 47.3 9 94
## 56 9.290984e+00 99.0 863 38.7 26 98
## 57 2.272405e+00 84.0 2 34.7 12 85
## 58 1.389021e+01 91.0 2 39.3 25 98
## 59 7.083286e+02 99.0 20 47.9 9 99
## 60 0.000000e+00 97.0 16 39.5 4 95
## 61 4.153363e+00 86.0 0 35.3 12 87
## 62 3.423979e+01 96.0 0 42.7 8 96
## 63 8.082433e+02 99.0 0 48.5 8 99
## 64 0.000000e+00 96.0 1 4.1 4 96
## 65 3.788466e+01 97.0 0 43.4 8 97
## 66 3.571614e+01 93.0 0 35.9 12 93
## 67 1.194571e+02 99.0 117 4.7 23 99
## 68 3.853252e+02 96.0 0 44.2 8 96
## 69 5.199192e+01 96.0 1 37.4 12 97
## 70 0.000000e+00 96.0 222 41.4 4 94
## 71 1.406905e+02 99.0 476 41.4 22 99
## 72 4.904181e+02 97.0 0 45.0 8 97
## 73 1.791701e+02 99.0 127 49.9 7 99
## 74 0.000000e+00 96.0 0 42.2 4 94
## 75 5.794128e+02 98.0 0 45.9 8 98
## 76 2.353566e+02 95.0 55 5.6 7 98
## 77 7.150892e+01 94.0 16 38.2 12 96
## 78 1.671406e+01 99.0 0 42.2 21 99
## 79 0.000000e+00 97.0 1 43.0 4 97
## 80 6.374811e+01 98.0 0 46.7 8 98
## 81 1.916247e+01 99.0 0 43.0 19 99
## 82 2.640727e+01 99.0 73 51.4 6 98
## 83 4.428024e-01 99.0 8 43.9 18 99
## 84 7.829009e+00 97.0 0 39.9 11 94
## 85 2.444474e+01 95.0 321 52.3 5 95
## 86 6.911334e+02 97.0 0 47.7 8 98
## 87 0.000000e+00 96.0 318 43.9 4 95
## 88 0.000000e+00 99.0 22 44.7 17 99
## 89 1.746057e+01 6.0 71093 2.5 608 86
## 90 0.000000e+00 93.0 32647 24.7 4 99
## 91 5.926297e+03 93.0 22497 22.2 5 98
## 92 6.184922e+01 95.0 10677 39.1 3 95
## 93 1.423064e+01 65.0 88962 21.2 558 86
## 94 5.486512e+03 89.0 22552 22.5 5 81
## 95 0.000000e+00 89.0 23060 25.2 4 99
## 96 0.000000e+00 92.0 62 25.7 4 99
## 97 5.560878e+01 98.0 1205 39.8 2 98
## 98 5.250249e+03 92.0 33812 22.9 5 89
## 99 5.605686e+01 98.0 18 4.5 2 98
## 100 1.229365e+02 75.0 71879 22.6 467 87
## 101 0.000000e+00 27.0 0 26.7 15 99
## 102 0.000000e+00 92.0 11 26.7 3 9
## 103 0.000000e+00 98.0 0 27.2 14 99
## 104 6.746281e+03 95.0 8752 23.8 4 97
## 105 7.324150e+01 98.0 0 41.3 2 99
## 106 0.000000e+00 99.0 7 27.2 3 96
## 107 9.868368e+01 98.0 0 42.1 2 99
## 108 6.799664e+03 95.0 0 24.4 4 95
## 109 0.000000e+00 92.0 0 27.7 13 97
## 110 6.502137e+03 97.0 520 24.9 4 95
## 111 1.221206e+02 98.0 26 43.0 2 98
## 112 0.000000e+00 99.0 28 27.7 2 98
## 113 2.974343e+01 91.0 99602 24.9 360 94
## 114 0.000000e+00 96.0 0 28.2 12 98
## 115 0.000000e+00 92.0 3550 28.7 12 99
## 116 1.266981e+02 98.0 12 43.9 2 99
## 117 0.000000e+00 91.0 194 28.2 2 91
## 118 0.000000e+00 94.0 2 28.6 2 92
## 119 7.313175e+03 94.5 11015 25.9 4 98
## 120 3.922510e+01 95.0 131441 26.5 308 99
## 121 0.000000e+00 92.0 8 29.2 12 98
## 122 1.810123e+02 96.0 31 44.9 2 95
## 123 8.991785e+02 95.5 741 26.4 4 99
## 124 0.000000e+00 93.0 0 29.7 11 98
## 125 1.341679e+02 97.0 8 45.9 2 96
## 126 8.630061e+02 95.0 450 26.9 4 98
## 127 0.000000e+00 94.0 114 29.5 2 95
## 128 2.231624e+01 96.0 7 46.9 2 96
## 129 0.000000e+00 93.0 0 3.3 10 99
## 130 5.660755e+00 99.0 38159 28.1 268 99
## 131 0.000000e+00 99.0 42 3.0 2 98
## 132 9.498729e+03 99.0 434 27.4 4 96
## 133 9.126750e+01 99.0 9943 29.0 251 99
## 134 2.578403e+02 99.0 0 48.0 2 99
## 135 0.000000e+00 99.0 2 3.4 2 99
## 136 0.000000e+00 96.0 0 31.3 9 99
## 137 1.215869e+02 99.0 228 27.8 3 99
## 138 9.443446e+01 99.0 6183 3.0 233 99
## 139 2.538286e+02 99.0 0 49.2 2 99
## 140 9.443429e+01 98.5 229 28.2 3 99
## 141 0.000000e+00 99.0 107 3.8 2 99
## 142 0.000000e+00 93.0 0 31.8 8 99
## 143 8.883362e+01 99.0 462 28.6 3 99
## 144 0.000000e+00 99.0 442 31.2 2 99
## 145 2.810024e+02 99.0 0 51.5 1 99
## 146 1.098744e+02 99.0 52628 31.9 198 99
## 147 0.000000e+00 96.0 0 32.9 7 99
## 148 0.000000e+00 99.0 42361 32.9 183 99
## 149 0.000000e+00 99.0 20359 52.7 1 99
## 150 0.000000e+00 98.0 7 31.7 2 98
## 151 0.000000e+00 98.5 35 29.0 3 99
## 152 0.000000e+00 94.0 9 59.0 0 98
## 153 4.124324e+02 99.0 77 53.1 4 98
## 154 7.536251e+01 94.0 1 56.1 1 99
## 155 2.244600e+02 94.0 4800 54.0 26 97
## 156 0.000000e+00 92.0 687 46.5 2 97
## 157 7.883791e+00 4.0 817 54.8 8 99
## 158 0.000000e+00 98.0 0 5.7 1 98
## 159 2.424948e+01 7.0 21 54.4 1 99
## 160 1.523573e+01 94.0 46 57.0 1 94
## 161 1.526369e+02 98.0 35 51.4 5 99
## 162 2.642527e+00 43.0 2072 54.2 25 97
## 163 1.801095e+02 98.0 10 51.9 5 99
## 164 0.000000e+00 94.0 457 46.8 1 98
## 165 1.406142e+01 93.0 45 54.9 1 99
## 166 0.000000e+00 93.5 6 59.4 0 97
## 167 8.897421e+00 7.0 16970 55.1 7 99
## 168 2.506263e+01 93.0 8 57.5 1 94
## 169 4.667383e+02 95.0 133 53.6 3 98
## 170 7.601092e+00 93.5 20 56.6 1 99
## 171 0.000000e+00 99.0 0 51.1 1 99
## 172 0.000000e+00 99.0 4929 47.2 1 98
## 173 0.000000e+00 99.0 0 51.6 0 98
## 174 0.000000e+00 86.0 4 59.9 0 97
## 175 1.157390e+02 48.0 7587 55.4 7 99
## 176 1.454234e+02 99.0 14 55.3 1 99
## 177 5.160554e+02 98.0 34 54.0 3 98
## 178 3.782275e+01 99.0 14 52.4 5 98
## 179 2.383579e+01 56.0 21 55.8 1 53
## 180 2.122386e+01 77.0 411 55.7 6 99
## 181 0.000000e+00 92.0 30 6.4 0 97
## 182 1.030220e+03 96.0 0 57.6 1 99
## 183 0.000000e+00 99.0 1 52.1 0 98
## 184 3.751740e+02 98.0 9 52.9 4 97
## 185 3.238616e+01 96.0 0 58.6 1 96
## 186 3.332149e+02 94.0 3291 54.7 22 97
## 187 0.000000e+00 99.0 87 47.6 1 98
## 188 5.420235e+02 97.0 48 54.5 3 98
## 189 4.233444e+01 99.0 2 56.2 1 99
## 190 3.841473e+02 94.0 0 59.1 1 94
## 191 4.651559e+01 96.0 2444 55.0 21 98
## 192 1.468608e+02 98.0 0 58.2 1 99
## 193 0.000000e+00 99.0 2 52.6 0 99
## 194 0.000000e+00 99.0 4 47.9 1 98
## 195 4.313250e+02 99.0 117 53.4 4 97
## 196 1.803538e+02 98.0 146 56.1 6 99
## 197 6.480743e+02 98.0 11 55.0 3 99
## 198 0.000000e+00 99.0 0 61.3 0 96
## 199 0.000000e+00 99.0 0 53.1 0 99
## 200 4.563405e+02 96.0 3 59.7 1 97
## 201 7.941503e+01 98.0 13 55.5 3 99
## 202 1.317083e+03 98.0 2 58.8 1 99
## 203 2.174345e+02 97.0 2392 56.4 6 95
## 204 6.255082e+02 97.0 454 55.3 20 98
## 205 6.154031e+02 98.0 5043 53.9 4 97
## 206 1.299459e+03 98.0 1 59.3 1 99
## 207 3.644261e+02 98.0 149 57.2 1 97
## 208 0.000000e+00 98.0 34 48.7 1 98
## 209 0.000000e+00 99.0 0 53.7 0 99
## 210 9.145556e+00 98.0 120 56.0 3 99
## 211 2.938173e+01 96.0 42724 56.8 6 99
## 212 0.000000e+00 98.0 7 61.8 0 98
## 213 1.225184e+01 98.0 1147 55.7 20 98
## 214 5.086305e+02 96.0 1 6.3 1 96
## 215 0.000000e+00 95.0 10 49.1 1 93
## 216 0.000000e+00 99.0 2 62.2 0 99
## 217 5.915101e+02 95.0 1 6.9 1 95
## 218 9.191673e+02 99.0 353 55.0 3 96
## 219 1.430425e+01 98.0 40 56.6 3 99
## 220 4.640775e+02 91.0 1 57.7 1 9
## 221 0.000000e+00 99.0 0 54.2 0 99
## 222 1.102617e+01 98.0 173 56.1 19 98
## 223 4.619685e+01 92.0 1005 57.2 6 98
## 224 1.079826e+02 96.0 1 61.5 1 96
## 225 5.018056e+02 98.0 0 58.2 1 98
## 226 1.817634e+02 98.0 0 6.5 1 99
## 227 0.000000e+00 99.0 0 54.8 0 99
## 228 1.280806e+02 97.0 12 55.6 3 95
## 229 1.571475e+01 98.0 0 57.2 3 96
## 230 1.617302e+02 98.0 27 56.6 18 98
## 231 1.281156e+03 98.0 1 61.1 1 99
## 232 1.299160e+03 98.0 115 57.8 3 96
## 233 6.615144e+02 96.0 2249 62.1 1 94
## 234 0.000000e+00 99.0 5 63.1 0 99
## 235 0.000000e+00 99.0 0 55.3 0 99
## 236 0.000000e+00 89.0 0 49.9 1 87
## 237 3.245491e+02 66.0 0 58.0 6 74
## 238 1.370063e+02 98.0 101 57.0 18 98
## 239 3.756835e+02 48.0 39 58.5 6 57
## 240 8.494095e+00 96.0 1 59.3 1 99
## 241 1.922024e+01 98.0 0 61.7 1 99
## 242 0.000000e+00 99.0 0 55.9 0 99
## 243 9.832518e+02 98.0 193 56.9 2 94
## 244 0.000000e+00 98.0 0 5.4 1 97
## 245 7.664455e+02 95.0 22004 62.7 1 94
## 246 1.628088e+02 97.0 129 57.5 17 98
## 247 1.032589e+01 96.0 4189 57.7 2 89
## 248 0.000000e+00 99.0 0 56.5 0 99
## 249 2.500774e+02 98.0 0 59.1 2 96
## 250 4.151628e+02 21.0 1333 59.0 5 54
## 251 8.469113e+02 98.0 50 59.9 1 98
## 252 0.000000e+00 96.0 0 5.9 1 96
## 253 0.000000e+00 99.0 17 64.0 0 99
## 254 1.782122e+01 97.0 5 62.4 1 99
## 255 9.170962e+01 97.0 10 6.5 1 98
## 256 0.000000e+00 99.0 0 57.2 0 99
## 257 0.000000e+00 99.0 22 64.5 0 99
## 258 4.537831e+02 46.0 12746 59.6 5 72
## 259 0.000000e+00 94.0 11 51.5 1 92
## 260 1.642793e+02 97.0 2 63.0 1 99
## 261 0.000000e+00 99.0 15 65.1 0 99
## 262 0.000000e+00 91.0 27 52.1 1 92
## 263 1.529498e+03 97.0 2339 59.3 16 98
## 264 5.242530e+01 46.0 0 6.1 5 72
## 265 1.109855e+03 98.0 16 61.1 1 98
## 266 1.496599e+02 95.0 14 64.5 1 95
## 267 2.343533e+01 96.0 84 6.4 2 95
## 268 1.230748e+03 96.0 1159 59.2 2 88
## 269 1.340554e+03 97.0 4711 59.9 15 97
## 270 1.576409e+00 94.0 59 59.9 2 94
## 271 2.438085e+02 96.0 0 61.1 2 94
## 272 1.531400e+02 95.0 0 65.1 1 88
## 273 1.609449e+02 96.0 0 64.2 0 99
## 274 0.000000e+00 92.0 2 52.7 1 92
## 275 5.663849e+00 22.0 0 6.7 5 45
## 276 0.000000e+00 96.0 0 64.8 0 99
## 277 0.000000e+00 97.0 9 66.1 0 97
## 278 0.000000e+00 96.0 1 59.1 0 96
## 279 0.000000e+00 88.0 0 53.4 1 88
## 280 0.000000e+00 97.0 843 6.5 15 97
## 281 0.000000e+00 96.0 0 61.7 2 92
## 282 0.000000e+00 9.0 4 6.7 2 89
## 283 0.000000e+00 99.0 2 62.3 0 99
## 284 3.536690e+02 99.0 0 45.3 5 98
## 285 7.446033e+01 86.0 992 34.0 28 5
## 286 4.934008e+01 98.0 0 49.4 1 98
## 287 4.771342e+02 78.0 1 46.7 21 82
## 288 2.190240e+02 76.0 0 4.8 0 91
## 289 2.681838e+02 86.0 0 47.6 0 7
## 290 2.735759e+02 86.0 0 39.1 5 86
## 291 1.140616e+03 86.0 0 43.0 0 86
## 292 2.482763e+01 86.0 0 41.6 1 95
## 293 1.525519e+01 83.0 0 42.8 5 85
## 294 4.359523e+01 86.0 0 33.6 1 9
## 295 0.000000e+00 86.0 0 36.8 0 7
## 296 1.127743e+03 86.0 0 38.2 0 96
## 297 0.000000e+00 5.0 22 53.4 13 86
## 298 2.880831e+01 93.0 0 38.8 8 88
## 299 6.765454e+02 86.0 0 37.7 0 97
## 300 2.975112e+02 86.0 1 45.4 24 93
## 301 7.414843e+01 86.0 0 54.0 3 91
## 302 2.387370e+02 86.0 0 4.4 21 8
## 303 1.794777e+02 94.0 36 43.7 127 99
## 304 0.000000e+00 77.0 122 42.6 20 74
## 305 8.417527e+01 36.0 0 43.6 11 83
## 306 9.871021e+00 86.0 0 45.9 2 99
## 307 1.381665e+02 18.0 0 43.8 0 93
## 308 4.214804e+02 94.0 0 55.7 1 94
## 309 2.338489e+02 86.0 0 39.8 5 9
## 310 1.230129e+02 86.0 0 54.6 13 85
## 311 1.637677e+02 96.0 0 38.9 0 99
## 312 2.516587e+02 96.0 0 41.4 0 96
## 313 3.321057e+02 75.0 2 46.2 4 94
## 314 6.077816e+01 86.0 159 34.8 27 52
## 315 1.554979e+01 85.0 0 36.4 1 9
## 316 2.250620e+02 86.0 0 41.1 20 78
## 317 1.602382e+02 86.0 0 42.5 1 99
## 318 4.044206e+02 8.0 3 47.5 21 83
## 319 1.331110e+01 97.0 3 53.2 62 97
## 320 0.000000e+00 86.0 0 41.0 0 99
## 321 6.875117e+02 86.0 0 54.7 3 96
## 322 5.167112e+02 86.0 0 34.4 1 91
## 323 8.683714e+02 8.0 0 46.4 1 92
## 324 8.111356e+01 96.0 0 38.2 0 96
## 325 2.235595e+01 87.0 0 43.5 5 89
## 326 0.000000e+00 53.0 115 54.1 12 87
## 327 3.025359e+02 86.0 0 46.1 22 9
## 328 0.000000e+00 86.0 0 37.3 0 99
## 329 3.400240e+02 66.0 113 44.1 9 71
## 330 1.536175e+01 95.0 0 39.6 8 99
## 331 2.111143e+02 89.0 0 43.5 1 99
## 332 2.628299e+02 97.0 0 42.0 0 93
## 333 1.093634e+01 91.0 0 37.1 1 93
## 334 2.968529e+01 81.0 0 47.0 4 81
## 335 1.330995e+02 66.0 0 44.6 0 86
## 336 1.528294e+02 89.0 0 4.6 4 87
## 337 7.880940e+01 98.0 0 47.8 2 99
## 338 6.757808e+02 89.0 0 55.4 3 97
## 339 4.701869e+02 66.0 0 55.1 13 94
## 340 1.218597e+01 97.0 0 54.1 58 98
## 341 2.507112e+02 89.0 0 49.0 0 74
## 342 2.746881e+01 95.0 0 56.3 1 93
## 343 1.129494e+02 94.0 0 47.3 1 94
## 344 3.938774e+02 78.0 139 48.2 20 83
## 345 1.409825e+02 92.0 1 45.3 109 99
## 346 0.000000e+00 89.0 0 42.0 0 99
## 347 5.133465e+02 98.0 0 38.8 0 98
## 348 2.092344e+00 85.0 0 44.2 5 85
## 349 0.000000e+00 14.0 0 37.9 0 9
## 350 5.028558e+01 89.0 0 35.6 26 54
## 351 1.548636e+02 94.0 0 4.4 7 95
## 352 4.053778e+01 89.0 0 46.7 20 95
## 353 1.873844e+02 75.0 0 45.1 10 88
## 354 0.000000e+00 6.0 2392 54.7 12 81
## 355 0.000000e+00 77.0 0 44.0 18 76
## 356 7.794543e+01 97.0 0 39.4 0 98
## 357 6.034145e+01 99.0 0 52.1 1 98
## 358 1.070269e+03 86.0 1 48.3 1 88
## 359 1.555885e+02 36.0 0 44.5 1 99
## 360 3.127996e+02 96.0 0 42.6 0 95
## 361 5.845976e+01 98.0 0 48.6 2 95
## 362 1.647949e+01 9.0 0 37.8 1 91
## 363 2.493263e+02 86.0 0 42.4 19 84
## 364 1.944336e+02 91.0 0 41.2 7 92
## 365 1.351399e+01 91.0 0 45.4 0 9
## 366 7.812063e+02 98.0 44 54.9 55 98
## 367 1.826183e+01 82.0 0 45.8 10 97
## 368 5.840993e+02 86.0 1 56.1 2 96
## 369 5.758467e+01 73.0 0 55.7 13 95
## 370 0.000000e+00 88.0 0 56.7 0 93
## 371 3.470334e+01 65.0 0 47.4 19 95
## 372 3.236621e+01 86.0 0 49.7 0 74
## 373 2.542437e+00 86.0 0 44.9 5 86
## 374 1.158065e+03 99.0 0 4.1 0 99
## 375 4.178039e+02 92.0 0 49.0 19 92
## 376 0.000000e+00 72.0 0 55.3 12 86
## 377 2.930197e+02 79.0 0 46.1 8 65
## 378 0.000000e+00 31.0 0 42.9 0 99
## 379 1.185100e+01 94.0 0 36.8 0 94
## 380 1.923226e+02 98.0 0 45.4 1 97
## 381 7.878565e+01 92.0 0 56.8 2 94
## 382 1.776181e+00 91.0 0 38.4 1 91
## 383 3.681621e+01 79.0 0 45.7 4 8
## 384 1.866090e+02 96.0 0 46.9 93 99
## 385 1.660083e+02 93.0 0 46.2 0 93
## 386 1.882499e+02 93.0 0 42.0 7 94
## 387 0.000000e+00 91.0 0 39.0 0 91
## 388 2.286295e+01 97.0 0 4.8 0 97
## 389 0.000000e+00 84.0 0 45.4 16 84
## 390 9.208284e+02 98.0 64 55.7 52 98
## 391 3.256807e+02 97.0 0 43.2 0 97
## 392 4.232577e+00 92.0 0 5.4 0 84
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## 1809 0.000000e+00 72.0 57 18.6 323 78
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## 1821 1.548706e+02 93.0 2488 29.7 6 92
## 1822 1.008987e+02 84.0 240 26.0 82 83
## 1823 5.883761e+00 7.0 372 17.3 95 75
## 1824 0.000000e+00 97.0 2 24.1 6 97
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## 1826 1.649232e+01 99.0 0 33.5 0 99
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## 1828 0.000000e+00 83.0 115 22.0 83 49
## 1829 1.874960e+02 88.0 7 32.2 2 88
## 1830 7.660442e+01 7.0 1 18.0 45 7
## 1831 1.038886e+03 71.0 12499 47.2 62 72
## 1832 9.425738e+01 76.0 392 23.0 39 77
## 1833 7.195535e+02 83.0 3138 31.8 4 83
## 1834 5.470387e+02 95.0 853 35.2 3 96
## 1835 4.348359e+01 45.0 2 2.2 24 46
## 1836 9.728005e+00 93.0 118712 17.6 54 86
## 1837 1.843649e+02 83.0 15754 2.7 45 8
## 1838 1.162030e+02 8.0 1313 16.3 119 79
## 1839 1.735740e+01 9.0 51 16.0 9 9
## 1840 1.916537e+02 77.0 1190 2.4 121 81
## 1841 1.020072e+00 89.0 428 21.7 32 76
## 1842 1.331231e+02 49.0 8491 22.2 817 54
## 1843 1.959825e+02 94.0 641 25.5 59 94
## 1844 1.080560e-01 99.0 12 3.7 0 99
## 1845 9.585584e+00 72.0 1719 2.7 91 77
## 1846 4.196145e+01 83.0 120 21.4 21 83
## 1847 0.000000e+00 74.0 4 24.5 10 72
## 1848 4.357329e+01 39.0 194 17.1 80 43
## 1849 5.330858e+01 9.0 9696 29.4 44 89
## 1850 1.192697e+03 83.0 0 22.1 4 59
## 1851 8.353075e+00 64.0 1292 27.4 12 52
## 1852 9.046018e+01 91.0 2511 16.6 74 9
## 1853 6.304033e+01 98.0 0 26.9 0 98
## 1854 0.000000e+00 6.0 5407 19.1 321 76
## 1855 0.000000e+00 85.0 441 25.0 84 81
## 1856 5.330783e+01 83.0 26 23.1 7 82
## 1857 5.347718e+00 86.0 1089 21.7 40 84
## 1858 6.378724e+01 97.0 121 18.3 23 93
## 1859 4.191052e+01 47.0 2200 24.5 13 71
## 1860 3.908259e+01 85.0 187 22.0 21 85
## 1861 7.896235e+00 82.0 79 32.5 4 85
## 1862 7.879967e+01 73.0 0 18.5 43 73
## 1863 1.335224e+02 75.0 2 34.1 3 75
## 1864 1.958253e+02 96.0 172 3.2 6 95
## 1865 1.121476e+03 99.0 0 34.2 0 99
## 1866 5.852947e+01 47.0 679 2.7 24 47
## 1867 6.689563e+02 95.0 8 35.7 3 96
## 1868 4.080618e+01 76.0 177 2.9 94 73
## 1869 0.000000e+00 62.0 628 25.6 83 58
## 1870 3.595980e+00 96.0 129 16.6 33 95
## 1871 8.318071e+01 82.0 504 26.6 79 8
## 1872 1.377617e+01 97.0 26 18.0 50 97
## 1873 1.102634e+02 75.0 426 23.5 39 77
## 1874 6.777565e+01 65.0 3255 16.0 231 7
## 1875 1.875733e+02 46.0 18843 22.8 802 48
## 1876 0.000000e+00 74.0 133802 19.6 319 77
## 1877 8.555593e+01 91.0 860 17.1 71 9
## 1878 0.000000e+00 96.0 0 24.8 5 95
## 1879 7.357091e+02 91.0 0 3.2 3 85
## 1880 2.097992e+01 96.0 48 16.5 8 96
## 1881 2.398914e+02 72.0 1449 21.0 115 73
## 1882 4.225479e+01 63.0 11 21.2 43 63
## 1883 6.776269e+01 33.0 8650 17.5 79 4
## 1884 7.927658e+01 75.0 234 28.1 12 73
## 1885 1.237533e+02 76.0 92 47.9 58 69
## 1886 0.000000e+00 7.0 315 25.0 10 69
## 1887 5.466592e+01 89.0 1865 22.2 38 88
## 1888 6.375053e+01 94.0 0 29.9 42 93
## 1889 9.449687e+01 82.0 3312 16.7 114 82
## 1890 0.000000e+00 82.0 1256 43.5 41 66
## 1891 4.045367e+01 86.0 0 23.7 7 85
## 1892 2.252219e+02 91.0 120 26.1 58 91
## 1893 1.097052e+02 96.0 2395 19.5 86 97
## 1894 9.074569e+00 97.0 31 18.9 20 93
## 1895 7.495401e+00 96.0 0 27.7 0 96
## 1896 7.968734e+02 84.0 86 33.3 4 84
## 1897 4.990987e+01 76.0 145 21.3 90 73
## 1898 1.681349e+02 95.0 179 3.8 6 93
## 1899 7.344808e+00 47.0 141 21.2 23 47
## 1900 1.542270e+02 94.0 0 2.1 84 94
## 1901 2.975518e+01 71.0 272 18.1 90 71
## 1902 0.000000e+00 82.0 137 26.2 82 83
## 1903 4.160028e+01 84.0 238 22.6 21 84
## 1904 2.172126e+02 81.0 709 33.2 2 81
## 1905 9.260234e+01 97.0 0 3.3 39 95
## 1906 4.809891e+01 8.0 43 25.6 12 8
## 1907 6.248420e+01 8.0 35 28.8 12 8
## 1908 0.000000e+00 98.0 0 25.4 5 98
## 1909 8.276866e+01 96.0 11 18.4 46 95
## 1910 2.561225e+02 75.0 4458 21.5 110 75
## 1911 6.855839e+01 85.0 609 27.2 76 85
## 1912 2.047186e+02 42.0 6447 23.5 788 42
## 1913 1.518994e+02 92.0 1613 26.7 56 91
## 1914 9.288698e+01 78.0 2027 17.2 109 82
## 1915 0.000000e+00 92.0 1668 21.9 126 9
## 1916 0.000000e+00 62.0 260 25.6 10 61
## 1917 8.682551e+01 69.0 4347 16.4 221 7
## 1918 1.283447e+01 95.0 7 36.2 3 96
## 1919 3.355889e+01 94.0 0 29.0 0 94
## 1920 5.782427e+01 4.0 120 17.9 79 51
## 1921 9.654658e+01 66.0 341 21.9 88 72
## 1922 7.839009e+01 89.0 1 22.6 2 85
## 1923 7.876987e+01 9.0 7362 17.7 68 9
## 1924 9.804075e+00 8.0 288 24.1 39 8
## 1925 0.000000e+00 94.0 194 17.0 8 94
## 1926 1.089955e+03 68.0 32 48.7 56 65
## 1927 7.202334e+02 95.0 0 3.7 3 92
## 1928 9.485264e-01 87.0 0 24.3 6 87
## 1929 1.020659e+01 91.0 46 22.7 29 83
## 1930 1.500413e+03 84.0 1190 23.0 4 3
## 1931 9.774676e+00 98.0 75 19.5 18 98
## 1932 4.344931e+00 62.0 6 21.7 42 63
## 1933 1.659305e+02 93.0 190 2.7 81 94
## 1934 1.533443e+02 93.0 516 31.4 6 9
## 1935 2.006601e+02 97.0 0 29.3 0 97
## 1936 0.000000e+00 74.0 88381 2.6 314 74
## 1937 3.595857e+01 77.0 8523 22.1 105 67
## 1938 0.000000e+00 8.0 48 26.8 81 79
## 1939 5.237767e+01 23.0 596 21.6 23 23
## 1940 8.740804e+01 77.0 637 24.6 39 73
## 1941 7.950882e+01 74.0 6 19.5 40 73
## 1942 3.150243e+01 67.0 1224 18.5 89 56
## 1943 1.521673e+03 99.0 0 35.5 0 98
## 1944 4.873047e+01 84.0 564 23.1 20 84
## 1945 8.313282e+00 72.0 5253 16.8 211 7
## 1946 7.652383e+01 39.0 226 18.2 78 46
## 1947 9.076144e+01 78.0 7878 17.6 103 82
## 1948 3.686104e+01 69.0 221 22.5 86 7
## 1949 8.897040e+01 88.0 375 18.2 66 89
## 1950 0.000000e+00 97.0 0 26.0 5 96
## 1951 8.880281e+00 8.0 62 29.4 12 8
## 1952 5.813338e+00 78.0 8 21.8 87 78
## 1953 4.744453e+01 84.5 525 43.5 40 5
## 1954 1.066671e+01 95.0 0 3.8 36 95
## 1955 1.117811e+00 95.0 1 36.8 2 96
## 1956 6.307890e+01 89.0 760 27.8 73 88
## 1957 9.174676e+02 98.0 0 32.3 0 98
## 1958 2.866898e+01 9.0 319 27.3 55 91
## 1959 1.563908e+02 84.5 321 23.5 4 3
## 1960 8.200637e+00 87.0 0 25.0 6 87
## 1961 5.583108e+01 89.0 1 18.8 42 89
## 1962 2.294410e+02 82.0 28 33.8 2 82
## 1963 1.183853e+01 92.0 17 23.2 28 89
## 1964 1.171091e+01 98.0 17 2.1 17 98
## 1965 1.942033e+02 46.0 52852 24.1 773 46
## 1966 0.000000e+00 94.0 45 17.5 8 94
## 1967 0.000000e+00 91.0 185 22.5 124 91
## 1968 0.000000e+00 42.0 3173 23.3 81 47
## 1969 1.321464e+00 92.0 15 23.3 33 92
## 1970 3.256299e+02 94.0 0 29.7 0 93
## 1971 3.304040e+00 68.0 1142 18.9 88 67
## 1972 9.012207e+01 78.0 786 25.2 39 74
## 1973 7.513983e+02 88.0 477 34.9 3 88
## 1974 1.621278e+02 93.0 0 32.0 6 9
## 1975 6.628022e+02 95.0 1 37.3 2 96
## 1976 0.000000e+00 8.0 33711 21.1 312 79
## 1977 1.082260e+01 91.0 0 31.3 34 92
## 1978 0.000000e+00 76.0 50 27.4 80 76
## 1979 5.948745e+01 91.0 3 19.2 40 87
## 1980 7.549797e+00 98.0 10 2.8 16 98
## 1981 4.607447e+01 86.0 441 43.5 39 44
## 1982 5.006054e+01 87.0 1 25.6 6 87
## 1983 5.343964e+01 47.0 210 22.1 22 47
## 1984 8.386340e+00 91.0 343 18.8 63 91
## 1985 1.416770e+01 78.0 314 18.1 97 82
## 1986 9.767795e+01 98.0 124 28.0 54 93
## 1987 4.125159e+01 95.0 0 18.2 32 95
## 1988 1.966676e+02 86.0 9 22.8 41 78
## 1989 5.491159e+01 79.0 9 22.2 84 79
## 1990 5.743895e+02 98.0 0 31.8 3 98
## 1991 5.057976e+01 51.0 175 22.7 41 42
## 1992 2.257308e+02 95.0 0 3.1 0 95
## 1993 1.443286e+00 83.0 1006 23.8 32 83
## 1994 1.152784e+02 97.0 0 32.8 0 98
## 1995 1.280529e+01 89.0 32 23.8 27 85
## 1996 7.386585e+01 88.0 0 23.7 2 87
## 1997 2.473300e+01 78.0 0 34.4 1 78
## 1998 5.437397e+01 5.0 34 26.7 11 49
## 1999 8.995806e+01 77.0 12739 17.2 202 75
## 2000 8.092680e+01 84.0 14 3.1 12 84
## 2001 2.632111e+02 49.0 6855 24.7 759 49
## 2002 4.140242e+02 97.0 0 3.5 0 95
## 2003 1.130207e+01 37.0 1275 18.7 78 44
## 2004 0.000000e+00 9.0 71 26.8 10 9
## 2005 0.000000e+00 96.0 1 26.7 5 97
## 2006 0.000000e+00 69.0 3 2.5 38 71
## 2007 0.000000e+00 82.0 55 25.7 39 78
## 2008 0.000000e+00 98.0 0 37.4 0 97
## 2009 0.000000e+00 88.0 0 19.6 38 88
## 2010 0.000000e+00 49.0 12423 25.4 747 49
## 2011 0.000000e+00 87.0 0 31.8 32 88
## 2012 0.000000e+00 31.0 878 43.5 39 41
## 2013 0.000000e+00 92.0 212 35.7 3 92
## 2014 0.000000e+00 8.0 27 36.3 3 79
## 2015 0.000000e+00 98.0 1 21.4 15 99
## 2016 0.000000e+00 54.0 243 23.3 40 42
## 2017 0.000000e+00 93.0 0 32.6 6 9
## 2018 0.000000e+00 83.0 65 28.0 79 81
## 2019 0.000000e+00 96.0 0 3.9 0 96
## 2020 0.000000e+00 89.0 95 22.0 75 83
## 2021 0.000000e+00 98.0 30 23.8 119 96
## 2022 0.000000e+00 95.0 0 37.9 2 96
## 2023 0.000000e+00 94.0 9 18.7 31 94
## 2024 0.000000e+00 87.0 153 26.3 6 87
## 2025 0.000000e+00 86.0 607 24.4 30 86
## 2026 0.000000e+00 8.0 79 22.6 81 8
## 2027 0.000000e+00 47.0 150 22.7 21 47
## 2028 0.000000e+00 84.0 1809 29.0 68 83
## 2029 0.000000e+00 9.0 0 32.3 3 84
## 2030 0.000000e+00 78.0 478 18.5 93 82
## 2031 0.000000e+00 52.0 1060 27.3 11 52
## 2032 0.000000e+00 42.0 7497 24.3 80 47
## 2033 0.000000e+00 91.0 0 24.2 2 92
## 2034 0.000000e+00 84.0 47 35.0 1 84
## 2035 0.000000e+00 9.0 9 23.4 40 9
## 2036 0.000000e+00 75.0 17 51.1 52 75
## 2037 0.000000e+00 46.0 418 19.1 77 52
## 2038 0.000000e+00 64.0 118 23.3 98 7
## 2039 0.000000e+00 97.0 0 33.3 0 98
## 2040 0.000000e+00 96.0 0 31.3 0 93
## 2041 0.000000e+00 73.0 1 3.8 12 67
## 2042 0.000000e+00 64.0 215 23.8 84 66
## 2043 0.000000e+00 88.0 23 28.6 52 88
## 2044 0.000000e+00 95.0 198 18.6 7 95
## 2045 8.172747e+01 79.0 146 43.9 12 86
## 2046 9.508028e+02 89.0 0 52.8 0 97
## 2047 4.212957e+02 71.0 16244 53.5 54 85
## 2048 0.000000e+00 67.0 726 49.5 37 83
## 2049 1.559287e+03 89.0 46 62.4 0 91
## 2050 3.509463e+01 89.0 210 42.1 11 75
## 2051 2.629590e+02 92.0 69 54.1 1 94
## 2052 7.821800e+02 93.0 0 56.2 12 95
## 2053 4.043879e+02 83.0 5 57.9 1 83
## 2054 3.275627e+01 55.0 15 47.1 1 96
## 2055 9.599259e+02 95.0 6 64.0 1 94
## 2056 4.781704e+01 55.0 50 46.0 2 81
## 2057 6.286658e+01 99.0 15 45.9 1 99
## 2058 0.000000e+00 14.0 0 31.2 66 74
## 2059 1.677271e+02 97.0 6 54.5 0 97
## 2060 9.350075e+01 8.0 290 44.6 11 83
## 2061 2.437539e+02 92.0 30 55.0 1 94
## 2062 0.000000e+00 66.0 4088 5.1 37 8
## 2063 1.150418e+03 99.0 5 54.8 0 99
## 2064 2.227333e+01 96.0 19 58.7 1 93
## 2065 1.131998e+02 99.0 0 64.5 1 99
## 2066 2.486975e+02 97.0 61 54.8 4 97
## 2067 7.104952e+02 95.0 155 56.9 12 97
## 2068 5.645426e+02 99.0 15 46.5 1 99
## 2069 0.000000e+00 19.0 485 31.7 63 73
## 2070 2.564342e+02 77.0 30509 54.3 50 88
## 2071 1.008086e+02 89.0 0 53.3 0 97
## 2072 5.319373e+01 69.0 69 47.4 1 97
## 2073 1.700495e+02 93.0 23 63.3 0 93
## 2074 1.701196e+03 98.0 2 59.2 1 91
## 2075 1.064303e+02 98.0 8 55.0 0 98
## 2076 7.013208e+01 77.0 36 59.1 1 77
## 2077 9.170357e+01 8.0 538 45.3 11 86
## 2078 1.209681e+03 99.0 0 65.0 1 99
## 2079 6.880973e+02 97.0 311 57.7 11 95
## 2080 2.598843e+03 92.0 53 56.0 1 94
## 2081 0.000000e+00 65.0 0 5.6 37 76
## 2082 6.055818e+01 51.0 199 47.0 2 89
## 2083 1.886783e+02 98.0 34 64.1 0 96
## 2084 3.933254e+01 5.0 4353 43.1 9 8
## 2085 5.717810e+01 91.0 40 47.8 1 96
## 2086 1.590099e+02 99.0 0 65.5 1 99
## 2087 2.287838e+02 97.0 76 56.3 4 97
## 2088 9.475639e+01 81.0 801 46.0 11 85
## 2089 1.731756e+03 98.0 124 59.6 1 93
## 2090 1.214558e+03 98.0 12 55.2 0 97
## 2091 2.771818e+02 92.0 42 56.8 1 94
## 2092 5.279177e+02 74.0 526 59.7 1 74
## 2093 1.587087e+02 88.0 0 54.3 0 98
## 2094 4.591113e+02 68.0 5844 55.9 43 69
## 2095 8.323689e+02 95.0 1208 58.5 11 95
## 2096 4.049972e+03 93.0 24 64.7 0 93
## 2097 7.341493e+00 93.0 4 48.1 1 96
## 2098 4.241491e+01 51.0 1978 43.6 8 79
## 2099 7.054185e+01 48.0 216 47.5 2 74
## 2100 0.000000e+00 38.0 8536 32.7 58 61
## 2101 6.565631e+01 99.0 1 48.1 1 99
## 2102 1.731074e+03 94.0 23 65.9 1 98
## 2103 8.164795e+02 96.0 1880 59.4 11 96
## 2104 4.064744e+03 97.0 29 65.0 0 95
## 2105 1.132767e+00 77.0 8927 56.8 39 85
## 2106 7.132565e+00 64.0 6847 48.1 1 66
## 2107 3.252524e+01 95.0 21 57.0 4 95
## 2108 1.586724e+03 88.0 0 54.8 0 98
## 2109 8.596805e+00 5.0 827 44.2 8 78
## 2110 6.183615e+02 75.0 213 6.2 1 74
## 2111 9.774088e+01 91.0 1783 48.4 1 93
## 2112 1.380228e+03 98.0 11 55.6 0 98
## 2113 7.046762e+01 99.0 18 48.9 1 99
## 2114 2.972449e+03 92.0 22 57.0 1 94
## 2115 1.162586e+02 83.0 375 47.6 10 83
## 2116 5.918845e+01 65.0 908 52.5 37 69
## 2117 8.329552e+02 85.0 6200 57.6 36 9
## 2118 8.128883e+01 49.0 1238 44.7 7 79
## 2119 2.744252e+01 95.0 28 57.8 4 95
## 2120 9.444875e+00 79.0 1356 48.6 1 82
## 2121 2.509343e+02 96.0 2 6.6 1 95
## 2122 8.540116e+02 99.0 25 49.5 1 99
## 2123 2.021823e+01 91.0 2281 48.8 1 92
## 2124 0.000000e+00 8.0 6285 33.9 53 8
## 2125 2.395751e+02 99.0 10 66.3 1 99
## 2126 1.117048e+03 97.0 373 6.2 10 96
## 2127 1.553469e+03 98.0 4 56.1 0 98
## 2128 3.427320e+03 92.0 29 56.6 1 94
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## 2130 1.035238e+02 82.0 34 58.5 34 9
## 2131 3.133626e+02 98.0 1 58.6 4 98
## 2132 4.485953e+02 96.0 144 65.0 0 95
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## 2134 1.700842e+03 93.0 0 55.8 0 97
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## 2136 0.000000e+00 78.0 8079 34.5 51 78
## 2137 2.443444e+03 99.0 0 66.7 1 99
## 2138 2.445353e+02 78.0 137 49.2 1 87
## 2139 3.358621e+01 96.0 9 61.1 1 94
## 2140 8.906931e+00 8.0 373 61.9 1 75
## 2141 0.000000e+00 79.0 13 35.1 49 79
## 2142 1.467606e+02 56.0 230 53.8 38 74
## 2143 4.418506e+01 94.0 361 65.1 0 97
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## 2145 1.760107e+02 62.0 0 45.9 7 81
## 2146 1.958526e+03 93.0 0 56.3 0 97
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## 2306 7.002786e+03 47.0 604 59.1 3 98
## 2307 2.084256e+03 87.0 2022 54.6 0 96
## 2308 8.285265e+03 87.0 917 59.0 3 95
## 2309 1.896135e+04 94.0 1 58.4 0 96
## 2310 1.087341e+04 87.0 109 57.9 1 97
## 2311 2.052393e+03 95.0 0 58.8 0 96
## 2312 9.685859e+01 88.0 15 58.6 1 97
## 2313 6.719377e+02 97.0 33 61.6 1 98
## 2314 7.641271e+03 88.0 574 59.5 3 95
## 2315 1.471483e+04 88.0 958 55.0 0 96
## 2316 6.415357e+03 51.0 1541 59.6 3 98
## 2317 7.423229e+03 86.0 52 55.2 0 86
## 2318 1.035621e+03 88.0 15 59.3 1 97
## 2319 7.280012e+01 65.0 5048 6.1 3 99
## 2320 8.697907e+02 88.0 1607 6.4 3 94
## 2321 1.047370e+03 2.0 51 59.9 1 97
## 2322 1.702853e+04 95.0 6 59.6 0 96
## 2323 8.272307e+03 89.0 68 55.7 0 89
## 2324 7.135297e+02 97.0 576 62.3 1 98
## 2325 6.839191e+02 74.0 14949 6.6 3 99
## 2326 1.162657e+03 2.0 10 6.5 1 97
## 2327 7.878372e+03 92.0 36 56.1 0 92
## 2328 1.837933e+04 90.0 61 56.2 0 96
## 2329 8.399133e+02 88.0 166 6.9 3 94
## 2330 6.644739e+02 98.0 109 62.6 1 99
## 2331 7.513794e+02 78.0 0 61.1 3 99
## 2332 2.284582e+03 94.0 2 6.1 0 99
## 2333 7.023594e+02 98.0 39 63.0 1 99
## 2334 8.958780e+02 88.0 1771 61.4 3 94
## 2335 0.000000e+00 99.0 0 43.5 0 99
## 2336 9.058501e+01 95.0 0 56.6 0 95
## 2337 1.475030e+03 51.0 2632 61.0 1 97
## 2338 1.551575e+04 94.0 0 6.5 0 99
## 2339 7.163349e+03 98.0 70 63.4 1 99
## 2340 9.417563e+02 88.0 443 61.9 3 94
## 2341 1.491704e+03 92.0 140 61.6 1 96
## 2342 6.739678e+03 83.0 267 62.0 3 98
## 2343 1.625516e+04 94.0 0 6.9 0 99
## 2344 8.350194e+03 98.0 117 57.1 0 98
## 2345 1.947991e+04 93.0 23 57.0 0 96
## 2346 0.000000e+00 88.0 2464 62.3 3 94
## 2347 0.000000e+00 86.0 157 62.5 3 98
## 2348 0.000000e+00 93.5 35 57.4 0 97
## 2349 0.000000e+00 94.0 0 61.3 0 99
## 2350 0.000000e+00 98.0 47 63.7 1 99
## Total.expenditure Diphtheria HIV.AIDS Population.x thinness..1.19.years
## 1 7.470 9 0.1 3.857700e+06 0.3
## 2 8.800 9 0.1 1.915300e+04 0.7
## 3 8.180 92 0.1 1.941300e+04 0.7
## 4 7.580 9 0.1 3.880500e+06 0.3
## 5 7.890 9 0.1 3.948500e+06 0.3
## 6 8.390 92 0.1 1.965140e+05 0.7
## 7 8.320 93 0.1 1.989540e+05 0.7
## 8 7.710 9 0.1 4.027200e+06 0.3
## 9 8.570 92 0.1 2.127400e+04 0.7
## 10 7.890 89 0.1 4.087500e+06 0.3
## 11 8.250 89 0.1 4.133900e+06 0.3
## 12 8.450 92 0.1 2.394800e+04 0.7
## 13 8.650 89 0.1 4.184600e+06 0.3
## 14 8.490 92 0.1 2.697900e+04 0.7
## 15 8.530 92 0.1 2.827600e+04 0.7
## 16 8.780 92 0.1 2.124920e+05 0.7
## 17 11.210 92 0.1 4.302600e+06 0.3
## 18 11.200 93 0.1 4.350700e+06 0.3
## 19 9.200 92 0.1 2.234240e+05 0.6
## 20 11.240 95 0.1 4.384000e+06 0.3
## 21 11.530 93 0.1 4.408100e+06 0.3
## 22 9.360 92 0.1 2.272825e+07 0.6
## 23 11.170 92 0.1 4.442100e+06 0.3
## 24 9.360 91 0.1 2.311735e+07 0.6
## 25 11.300 93 0.1 4.516500e+06 0.4
## 26 5.755 92 0.1 4.609400e+06 0.4
## 27 5.755 93 0.1 2.378934e+07 0.6
## 28 4.680 99 0.1 2.568878e+06 3.6
## 29 3.940 97 0.1 4.516131e+06 3.6
## 30 4.160 97 0.1 1.488363e+07 2.7
## 31 4.640 83 0.3 6.216250e+05 4.2
## 32 3.470 95 0.1 1.485834e+07 2.6
## 33 4.590 85 0.3 6.327125e+06 4.1
## 34 3.870 95 0.1 4.564800e+04 3.6
## 35 5.280 99 0.2 2.496445e+06 3.4
## 36 5.440 99 0.2 2.527185e+06 3.3
## 37 3.340 98 0.1 4.612000e+03 3.5
## 38 4.480 85 0.3 6.447688e+06 4.0
## 39 5.170 98 0.3 2.556765e+06 3.3
## 40 5.430 98 0.1 3.606253e+06 3.5
## 41 3.700 99 0.1 1.499180e+05 2.5
## 42 3.850 83 0.1 4.655741e+06 3.5
## 43 5.570 99 0.1 2.049710e+06 3.4
## 44 5.700 86 0.3 6.712841e+06 3.9
## 45 4.300 97 0.1 4.733980e+05 3.4
## 46 3.950 82 0.1 1.512985e+06 2.5
## 47 5.890 84 0.3 6.854176e+06 3.8
## 48 6.730 92 0.1 1.009995e+05 3.3
## 49 5.490 96 0.4 2.648825e+06 3.2
## 50 5.700 83 0.3 7.557000e+03 3.8
## 51 3.730 99 0.1 1.538840e+05 2.4
## 52 2.900 98 0.1 4.811500e+04 3.3
## 53 2.160 98 0.1 4.871370e+05 3.3
## 54 6.870 94 0.1 3.819761e+06 3.3
## 55 3.190 93 0.1 1.548419e+07 2.4
## 56 5.810 96 0.3 2.686800e+04 3.1
## 57 5.350 86 0.3 7.152385e+06 3.8
## 58 5.920 98 0.3 2.732800e+04 3.1
## 59 3.650 99 0.1 1.567400e+04 2.4
## 60 6.700 95 0.2 3.835280e+05 3.3
## 61 5.580 86 0.3 7.397280e+05 3.8
## 62 1.930 96 0.1 4.935762e+06 3.2
## 63 4.130 98 0.1 1.692710e+05 2.3
## 64 6.790 95 0.1 2.234725e+05 3.3
## 65 1.880 96 0.1 5.795000e+03 3.2
## 66 5.930 93 0.2 7.472819e+06 3.7
## 67 5.340 99 0.2 2.856240e+05 3.0
## 68 1.990 96 0.1 5.872100e+04 3.2
## 69 5.980 96 0.2 7.815949e+06 3.7
## 70 6.180 96 0.2 4.054275e+05 3.2
## 71 5.650 99 0.1 2.933940e+05 3.0
## 72 1.980 97 0.1 5.174610e+05 3.2
## 73 4.600 99 0.1 1.655660e+05 2.3
## 74 6.970 96 0.1 3.033701e+06 3.2
## 75 1.960 97 0.1 5.267839e+06 3.2
## 76 4.320 99 0.1 1.679143e+07 2.4
## 77 6.390 94 0.2 7.995620e+05 3.6
## 78 6.490 99 0.1 2.977450e+05 3.0
## 79 6.680 97 0.1 1.276532e+06 3.3
## 80 2.120 98 0.1 5.366277e+06 3.2
## 81 6.320 99 0.1 3.243200e+04 3.0
## 82 4.300 98 0.1 1.735275e+06 2.4
## 83 5.840 99 0.1 3.757700e+04 3.0
## 84 6.880 97 0.2 8.362745e+06 3.6
## 85 4.360 95 0.1 1.728922e+07 2.4
## 86 2.700 98 0.1 5.466241e+06 3.3
## 87 6.480 96 0.1 6.914493e+06 3.3
## 88 5.755 99 0.1 3.129890e+05 3.0
## 89 4.600 85 0.1 1.262645e+06 5.9
## 90 4.230 97 0.1 1.262645e+06 1.6
## 91 7.530 85 0.1 1.268430e+05 1.6
## 92 5.450 95 0.1 2.419776e+06 2.5
## 93 4.560 86 0.1 1.271850e+05 5.7
## 94 7.750 95 0.1 1.271490e+05 1.7
## 95 4.760 97 0.1 1.271850e+05 1.6
## 96 4.610 97 0.1 1.274450e+05 1.6
## 97 5.810 98 0.1 2.443659e+06 2.4
## 98 7.850 96 0.1 1.274450e+05 1.7
## 99 6.180 98 0.1 2.469286e+06 2.4
## 100 4.820 86 0.1 1.288400e+04 5.3
## 101 5.755 68 0.1 1.277180e+05 5.8
## 102 4.960 88 0.1 1.296750e+05 1.6
## 103 5.755 72 0.1 1.296750e+05 5.7
## 104 8.300 99 0.1 1.277610e+05 1.7
## 105 5.990 99 0.1 2.496832e+06 2.3
## 106 5.330 96 0.1 1.277730e+05 1.6
## 107 5.900 99 0.1 2.526446e+06 2.3
## 108 8.180 98 0.1 1.277730e+05 1.7
## 109 5.755 79 0.1 1.277730e+05 5.7
## 110 8.190 98 0.1 1.278540e+05 1.7
## 111 4.680 99 0.1 2.558120e+05 2.2
## 112 5.760 98 0.1 1.278540e+05 1.5
## 113 4.520 93 0.1 1.311200e+04 4.8
## 114 5.755 89 0.1 1.278540e+05 5.6
## 115 5.755 92 0.1 2.591670e+05 5.5
## 116 5.600 95 0.1 2.591670e+05 2.2
## 117 5.990 91 0.1 2.591670e+05 1.5
## 118 6.160 94 0.1 1.324655e+06 1.5
## 119 8.600 98 0.1 1.286300e+04 1.8
## 120 4.590 97 0.1 1.324655e+06 4.5
## 121 5.755 92 0.1 1.324655e+06 5.4
## 122 5.580 96 0.1 2.628131e+06 2.2
## 123 9.510 97 0.1 1.284700e+04 1.8
## 124 5.755 93 0.1 1.331260e+05 5.3
## 125 5.290 95 0.1 2.668289e+06 2.2
## 126 9.580 97 0.1 1.287000e+03 1.9
## 127 6.790 94 0.1 1.337750e+05 1.5
## 128 4.700 96 0.1 2.712650e+05 2.2
## 129 5.755 93 0.1 1.337750e+05 5.2
## 130 4.890 99 0.1 1.337750e+05 4.2
## 131 6.830 99 0.1 1.344130e+05 1.5
## 132 1.700 97 0.1 1.278330e+05 1.9
## 133 5.300 99 0.1 1.344130e+05 4.1
## 134 4.450 99 0.1 2.761516e+06 2.2
## 135 7.100 99 0.1 1.356950e+05 1.5
## 136 5.755 96 0.1 1.356950e+05 5.1
## 137 1.170 97 0.1 1.276290e+05 1.9
## 138 5.260 99 0.1 1.356950e+05 3.9
## 139 4.220 99 0.1 2.814226e+06 2.2
## 140 1.250 96 0.1 1.274450e+05 2.0
## 141 7.200 99 0.1 1.357380e+05 1.5
## 142 5.755 93 0.1 1.357380e+05 5.0
## 143 1.230 96 0.1 1.272760e+05 2.0
## 144 7.370 99 0.1 1.364270e+05 1.5
## 145 4.730 99 0.1 2.923896e+06 2.2
## 146 5.550 99 0.1 1.364270e+05 3.7
## 147 5.755 96 0.1 1.371220e+05 4.9
## 148 5.755 99 0.1 1.371220e+05 3.6
## 149 5.755 99 0.1 2.976877e+06 2.2
## 150 5.755 98 0.1 1.371220e+05 1.5
## 151 5.755 96 0.1 1.271410e+05 2.1
## 152 6.310 98 0.1 1.025506e+07 2.3
## 153 5.500 98 0.1 3.825863e+07 2.5
## 154 7.600 99 0.1 1.219710e+05 2.3
## 155 5.420 96 0.2 1.465966e+08 2.9
## 156 6.650 95 0.1 1.634902e+07 3.6
## 157 5.590 99 0.7 4.917585e+07 3.0
## 158 5.500 99 0.1 1.634902e+07 1.6
## 159 6.130 99 0.1 9.979610e+05 2.7
## 160 6.700 93 0.1 8.171720e+05 2.5
## 161 4.330 99 0.1 2.244297e+07 4.0
## 162 5.670 96 0.3 1.459768e+07 2.8
## 163 4.360 99 0.1 2.213197e+06 3.8
## 164 7.000 97 0.1 6.876713e+06 3.5
## 165 6.620 99 0.1 9.928549e+06 2.6
## 166 6.420 98 0.1 1.021661e+07 2.2
## 167 5.660 99 0.8 4.868387e+07 2.9
## 168 7.230 94 0.1 8.914200e+04 2.4
## 169 5.860 98 0.1 3.824876e+06 2.5
## 170 7.110 99 0.1 1.187576e+06 2.2
## 171 5.500 99 0.1 6.876713e+06 1.5
## 172 8.310 97 0.1 2.998430e+06 3.4
## 173 5.630 99 0.1 2.998430e+06 1.5
## 174 6.800 98 0.1 1.019692e+07 2.2
## 175 6.250 99 0.9 4.822500e+04 2.9
## 176 6.470 99 0.1 9.865548e+06 2.5
## 177 6.320 99 0.1 3.823364e+06 2.5
## 178 4.570 98 0.1 2.173496e+06 3.7
## 179 6.590 5 0.1 9.796749e+06 2.5
## 180 6.930 97 0.9 4.781295e+06 2.8
## 181 7.130 97 0.1 1.019400e+07 2.2
## 182 8.420 99 0.1 1.129552e+06 2.1
## 183 5.820 99 0.1 8.786038e+06 1.5
## 184 5.300 97 0.1 2.157433e+07 3.5
## 185 7.430 96 0.1 7.775327e+06 2.3
## 186 5.610 96 0.4 1.446483e+08 2.6
## 187 8.240 98 0.1 8.786038e+06 3.3
## 188 6.220 99 0.1 3.824570e+05 2.4
## 189 6.590 99 0.1 9.731460e+05 2.4
## 190 7.900 95 0.1 7.716860e+05 2.3
## 191 5.190 97 0.3 1.446754e+06 2.5
## 192 8.800 99 0.1 1.171460e+05 2.1
## 193 7.210 99 0.1 1.209950e+06 1.4
## 194 8.490 98 0.1 1.209950e+06 3.2
## 195 5.430 97 0.1 2.145175e+07 3.4
## 196 6.610 99 1.0 4.745160e+05 2.7
## 197 6.190 99 0.1 3.818222e+07 2.4
## 198 6.930 97 0.1 1.021122e+07 2.1
## 199 7.400 99 0.1 9.937566e+06 1.4
## 200 7.800 96 0.1 7.658972e+06 2.2
## 201 6.200 99 0.1 3.816545e+07 2.3
## 202 8.280 99 0.1 1.876500e+04 2.0
## 203 6.410 96 0.9 4.715150e+05 2.7
## 204 5.210 98 0.3 1.435185e+08 2.4
## 205 5.470 97 0.1 2.131969e+07 3.3
## 206 8.100 99 0.1 1.713700e+04 2.0
## 207 6.340 99 0.1 9.649240e+05 2.2
## 208 1.630 97 0.1 3.399076e+06 3.1
## 209 7.350 99 0.1 3.399076e+06 1.4
## 210 6.170 99 0.1 3.814127e+07 2.3
## 211 6.390 98 0.8 4.678775e+06 2.6
## 212 6.690 98 0.1 1.023891e+07 2.0
## 213 5.300 98 0.3 1.434953e+07 2.4
## 214 6.670 95 0.1 7.612200e+04 2.2
## 215 1.880 92 0.1 1.192771e+06 3.0
## 216 6.520 99 0.1 1.029883e+07 2.0
## 217 6.410 95 0.1 7.545338e+06 2.1
## 218 5.210 96 0.1 2.882982e+06 3.2
## 219 6.280 99 0.1 3.812560e+05 2.2
## 220 6.440 95 0.1 9.569530e+05 2.2
## 221 7.760 99 0.1 1.192771e+06 1.3
## 222 5.380 98 0.3 1.428588e+06 2.4
## 223 6.360 98 0.7 4.659350e+05 2.5
## 224 6.610 95 0.1 7.492561e+06 2.1
## 225 5.950 97 0.1 9.527985e+06 2.1
## 226 7.330 99 0.1 1.381880e+05 1.9
## 227 8.200 99 0.1 8.510273e+06 1.3
## 228 5.330 96 0.1 2.537875e+06 3.1
## 229 6.880 99 0.1 3.812576e+07 2.2
## 230 6.220 98 0.3 1.427424e+07 2.3
## 231 7.550 99 0.1 1.226500e+04 1.8
## 232 7.120 99 0.1 3.815163e+06 2.1
## 233 6.780 94 0.1 7.444443e+06 2.0
## 234 7.850 99 0.1 1.044394e+07 1.9
## 235 9.150 99 0.1 3.091325e+06 1.3
## 236 12.490 85 0.1 3.091325e+06 2.9
## 237 7.800 71 0.3 4.653300e+04 2.5
## 238 7.440 98 0.3 1.427853e+08 2.3
## 239 7.810 52 0.2 4.587700e+04 2.4
## 240 5.550 98 0.1 9.495830e+05 2.0
## 241 7.850 99 0.1 1.230000e+02 1.8
## 242 8.510 99 0.1 3.044833e+06 1.3
## 243 5.830 94 0.1 2.246871e+06 3.0
## 244 12.800 9 0.1 3.044833e+06 2.8
## 245 7.240 94 0.1 7.395599e+06 2.0
## 246 6.830 97 0.2 1.428494e+08 2.3
## 247 5.530 89 0.1 2.147528e+06 2.9
## 248 7.960 99 0.1 8.410750e+06 1.2
## 249 6.700 99 0.1 3.863255e+06 2.0
## 250 6.980 5 0.2 4.576100e+04 2.4
## 251 4.920 98 0.1 9.473172e+06 2.0
## 252 1.610 93 0.1 8.410750e+06 2.8
## 253 7.500 99 0.1 1.049609e+07 1.9
## 254 7.840 99 0.1 9.971727e+06 1.7
## 255 5.100 98 0.1 9.464495e+06 2.0
## 256 8.150 99 0.1 2.427763e+06 1.2
## 257 7.550 99 0.1 1.051079e+07 1.8
## 258 7.470 76 0.2 4.559330e+05 2.4
## 259 11.870 92 0.1 2.427763e+06 2.7
## 260 7.740 99 0.1 9.923620e+05 1.7
## 261 7.490 98 0.1 1.051427e+07 1.8
## 262 1.500 9 0.1 8.365556e+06 2.7
## 263 7.900 97 0.2 1.435691e+07 2.3
## 264 7.670 76 0.2 4.548960e+05 2.3
## 265 6.700 98 0.1 9.465997e+06 2.0
## 266 7.930 95 0.1 7.265115e+06 1.9
## 267 6.400 99 0.1 3.841960e+05 2.0
## 268 5.600 92 0.1 1.998369e+07 2.7
## 269 7.700 97 0.1 1.438197e+08 2.3
## 270 5.570 94 0.1 1.998979e+06 2.6
## 271 6.350 98 0.1 3.811735e+06 1.9
## 272 8.440 88 0.1 7.223938e+06 1.9
## 273 7.400 99 0.1 9.866468e+06 1.7
## 274 1.320 9 0.1 9.670490e+06 2.7
## 275 7.100 23 0.2 4.527195e+07 2.3
## 276 5.755 99 0.1 9.843280e+05 1.6
## 277 5.755 97 0.1 1.054606e+07 1.8
## 278 5.755 96 0.1 8.333804e+06 1.2
## 279 5.755 87 0.1 8.333804e+06 2.7
## 280 5.755 97 0.1 1.449687e+06 2.3
## 281 5.755 98 0.1 3.798641e+07 1.9
## 282 5.755 89 0.1 1.981548e+07 2.5
## 283 5.755 99 0.1 9.489616e+06 1.9
## 284 8.170 99 0.4 5.867626e+06 2.1
## 285 6.600 41 5.1 8.549200e+04 4.8
## 286 6.700 95 0.1 1.110579e+07 3.6
## 287 5.910 79 0.1 4.439580e+05 2.6
## 288 3.980 91 0.3 2.473150e+05 3.8
## 289 9.650 71 0.4 4.723900e+04 3.6
## 290 8.100 86 0.1 5.327000e+03 2.5
## 291 5.160 93 0.9 2.646570e+05 4.3
## 292 5.810 93 2.2 2.656864e+06 2.0
## 293 5.390 83 0.4 5.267960e+05 2.2
## 294 4.170 9 0.9 1.267984e+06 6.7
## 295 5.530 7 0.4 1.962424e+06 4.5
## 296 4.130 95 0.1 7.505500e+04 3.7
## 297 4.910 77 0.1 1.962424e+06 1.8
## 298 6.630 94 1.7 6.524283e+06 2.8
## 299 6.620 97 0.1 1.074320e+05 4.3
## 300 4.830 98 0.5 2.591488e+07 1.4
## 301 6.400 91 0.1 1.526275e+07 1.1
## 302 5.250 81 0.2 1.165743e+06 1.6
## 303 7.300 98 0.1 1.752876e+08 3.4
## 304 5.670 75 0.1 1.962424e+06 1.5
## 305 3.380 87 0.3 1.262860e+07 1.6
## 306 7.760 98 0.2 3.334700e+04 2.4
## 307 5.470 84 0.7 2.653770e+05 4.2
## 308 7.460 94 0.1 3.327130e+05 1.8
## 309 7.610 89 0.1 5.466240e+05 2.5
## 310 9.380 83 0.1 3.747159e+06 1.2
## 311 4.480 97 0.1 7.621500e+04 3.6
## 312 4.500 96 0.4 2.549840e+05 3.7
## 313 8.200 92 0.4 5.959620e+05 2.1
## 314 5.630 45 5.0 8.692567e+06 4.7
## 315 5.820 85 1.7 7.522630e+05 5.9
## 316 6.760 77 0.3 1.192495e+07 1.5
## 317 5.340 99 2.2 2.677110e+05 2.0
## 318 5.960 8 0.1 4.988990e+05 2.5
## 319 5.350 97 0.1 1.367680e+05 1.9
## 320 3.640 99 0.7 5.712930e+05 3.9
## 321 6.510 97 0.1 1.544497e+07 1.0
## 322 4.400 91 1.2 1.272380e+05 6.6
## 323 7.250 91 0.1 3.996798e+06 2.3
## 324 7.670 96 0.1 1.079360e+05 4.2
## 325 5.260 87 0.4 5.175000e+03 2.2
## 326 5.210 7 0.1 5.712930e+05 1.8
## 327 4.980 9 0.5 2.626136e+07 1.4
## 328 6.100 99 0.3 5.712930e+05 4.5
## 329 5.590 72 2.5 8.697126e+06 3.8
## 330 6.880 96 1.6 6.693610e+05 2.7
## 331 4.860 99 2.3 2.695446e+06 2.0
## 332 4.380 89 0.1 2.622600e+04 3.7
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## 1063 3.740 95 0.1 2.517419e+06 9.2
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## 1065 4.540 45 0.2 1.363377e+06 1.1
## 1066 3.230 88 0.1 8.467849e+07 1.0
## 1067 6.430 85 1.7 1.363377e+06 11.6
## 1068 4.320 49 0.2 6.542547e+06 1.0
## 1069 5.380 95 0.2 6.542547e+06 15.3
## 1070 2.620 94 0.1 3.667170e+05 6.4
## 1071 1.500 55 0.1 1.264840e+05 12.0
## 1072 3.550 98 0.5 6.542547e+06 8.9
## 1073 3.740 96 0.1 4.265762e+06 2.1
## 1074 3.290 96 0.1 2.565939e+07 9.0
## 1075 3.910 89 0.1 8.627424e+07 1.0
## 1076 2.790 72 0.1 2.267127e+07 1.9
## 1077 5.840 82 1.4 1.327210e+05 11.5
## 1078 0.650 63 0.1 1.486210e+05 11.9
## 1079 3.660 95 0.1 4.401365e+06 2.1
## 1080 5.560 94 0.2 1.347449e+07 15.1
## 1081 3.950 88 0.1 8.789419e+06 1.0
## 1082 1.780 82 0.6 4.884647e+07 13.2
## 1083 4.140 57 0.2 1.347449e+07 9.9
## 1084 2.240 97 0.1 3.728080e+05 6.3
## 1085 3.650 95 0.1 2.614357e+07 8.8
## 1086 2.910 72 0.1 2.298382e+07 1.8
## 1087 4.480 8 1.1 1.347449e+07 11.4
## 1088 2.320 99 0.1 3.787480e+05 6.2
## 1089 3.560 98 0.4 6.619562e+07 8.6
## 1090 3.460 97 0.1 4.588599e+06 2.1
## 1091 6.900 92 0.2 1.367669e+07 14.9
## 1092 0.370 7 0.1 1.649730e+05 11.8
## 1093 1.680 86 0.6 4.917159e+07 13.2
## 1094 3.100 73 0.2 2.329891e+08 1.8
## 1095 3.750 82 0.9 1.367669e+07 11.3
## 1096 3.920 99 0.3 6.654576e+06 8.5
## 1097 2.230 98 0.1 3.845680e+05 6.1
## 1098 3.470 97 0.1 2.711169e+06 8.5
## 1099 3.910 97 0.1 4.839396e+06 2.1
## 1100 0.740 79 0.1 1.781100e+04 11.7
## 1101 1.870 85 0.6 4.947975e+07 13.2
## 1102 2.770 61 0.2 4.839396e+06 9.6
## 1103 4.500 91 0.1 9.751864e+06 1.0
## 1104 5.530 93 0.2 4.839396e+06 14.7
## 1105 2.810 77 0.2 2.361593e+08 1.7
## 1106 3.770 67 0.2 2.765383e+06 9.4
## 1107 6.360 94 0.6 1.492800e+04 11.1
## 1108 2.850 99 0.1 3.903110e+05 6.0
## 1109 1.200 72 0.1 1.922100e+04 11.6
## 1110 4.110 99 0.3 6.688187e+07 8.3
## 1111 2.500 9 0.6 4.986900e+04 13.1
## 1112 2.830 78 0.3 2.393448e+07 1.7
## 1113 4.410 87 0.1 9.222879e+06 1.0
## 1114 2.750 74 0.3 5.076732e+06 9.3
## 1115 2.740 81 0.3 2.425241e+08 1.6
## 1116 5.950 89 0.5 1.438740e+05 11.0
## 1117 2.730 95 0.1 3.960530e+05 5.9
## 1118 1.920 9 0.5 5.155896e+06 13.1
## 1119 3.960 96 0.1 5.076732e+06 2.1
## 1120 6.360 93 0.1 5.076732e+06 14.5
## 1121 4.370 79 0.1 9.372662e+07 1.0
## 1122 6.200 95 0.1 5.183688e+06 14.4
## 1123 2.710 81 0.3 2.457751e+07 1.6
## 1124 0.760 67 0.1 1.131523e+06 11.3
## 1125 4.120 99 0.2 6.753130e+05 8.1
## 1126 2.250 97 0.1 4.015060e+05 5.9
## 1127 2.200 78 0.3 5.183688e+06 9.2
## 1128 1.870 84 0.5 5.553310e+05 13.0
## 1129 3.890 96 0.1 2.863513e+07 8.0
## 1130 4.290 87 0.1 9.527794e+06 1.0
## 1131 4.100 97 0.1 2.917456e+06 7.9
## 1132 1.100 83 0.1 1.156760e+05 11.2
## 1133 6.960 97 0.1 5.986514e+06 14.4
## 1134 2.120 79 0.3 5.986514e+06 9.1
## 1135 2.300 99 0.1 4.066340e+05 5.8
## 1136 6.240 86 0.3 1.477687e+07 11.0
## 1137 4.460 88 0.1 9.686664e+07 1.0
## 1138 2.220 84 0.5 5.986514e+06 13.0
## 1139 4.220 97 0.1 5.312437e+06 2.2
## 1140 2.610 99 0.1 4.117020e+05 5.8
## 1141 2.000 87 0.3 5.399162e+06 9.0
## 1142 1.290 82 0.1 1.184366e+06 11.1
## 1143 5.930 83 0.2 1.522692e+06 11.0
## 1144 4.530 97 0.1 5.399162e+06 2.2
## 1145 7.170 59 0.1 5.399162e+06 14.3
## 1146 2.930 85 0.3 2.523226e+07 1.5
## 1147 4.560 89 0.1 9.848132e+06 1.0
## 1148 4.000 99 0.1 6.814365e+06 7.9
## 1149 5.680 88 0.2 1.527790e+05 1.9
## 1150 4.170 97 0.1 3.228170e+05 7.6
## 1151 2.280 88 0.3 5.192418e+07 12.9
## 1152 2.650 99 0.1 4.166560e+05 5.7
## 1153 4.920 96 0.1 5.469724e+06 2.2
## 1154 2.850 78 0.3 2.551311e+08 1.4
## 1155 1.480 77 0.1 1.212814e+06 1.9
## 1156 7.700 95 0.1 1.212814e+06 14.3
## 1157 1.870 88 0.2 1.212814e+06 8.9
## 1158 4.710 67 0.1 1.122490e+05 1.0
## 1159 4.120 99 0.1 6.841677e+07 7.8
## 1160 5.755 89 0.2 5.243669e+06 8.8
## 1161 5.755 96 0.1 5.535002e+06 2.2
## 1162 5.755 99 0.1 4.214370e+05 5.7
## 1163 5.755 78 0.3 2.581621e+08 1.4
## 1164 5.755 99 0.1 6.865760e+05 7.7
## 1165 5.755 6 0.1 1.171636e+07 1.0
## 1166 5.755 89 0.2 1.551764e+07 1.9
## 1167 5.755 97 0.1 5.243669e+06 14.2
## 1168 5.755 76 0.1 1.249770e+05 1.9
## 1169 6.910 92 0.1 5.734160e+05 19.2
## 1170 4.470 99 0.1 1.054664e+06 7.8
## 1171 8.000 98 0.1 2.860000e+02 14.8
## 1172 4.260 58 0.3 1.535912e+06 27.7
## 1173 2.330 82 0.1 1.315812e+08 2.9
## 1174 2.790 62 0.1 1.385233e+08 22.2
## 1175 3.770 99 0.1 1.865500e+04 15.3
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## 1177 5.200 96 0.1 2.154090e+06 7.7
## 1178 3.810 98 0.1 1.879700e+04 15.4
## 1179 7.800 33 0.1 2.966463e+06 2.1
## 1180 5.910 88 0.1 5.896000e+03 18.9
## 1181 5.840 98 0.1 2.920000e+02 14.7
## 1182 5.360 72 0.1 2.416178e+07 18.3
## 1183 2.470 85 0.1 1.341716e+06 2.7
## 1184 3.890 98 0.1 1.893900e+04 15.4
## 1185 7.750 86 0.1 6.639900e+04 18.6
## 1186 5.390 99 0.1 1.017689e+07 7.6
## 1187 5.780 98 0.1 2.970000e+02 14.6
## 1188 4.400 59 0.3 1.898711e+07 27.4
## 1189 2.760 68 0.1 1.446541e+08 21.8
## 1190 7.760 36 0.1 2.197992e+07 19.9
## 1191 5.420 99 0.1 1.050388e+06 7.5
## 1192 2.610 67 0.1 1.477341e+06 21.6
## 1193 8.820 41 0.1 2.364851e+06 19.7
## 1194 3.950 99 0.1 1.983000e+03 15.4
## 1195 5.900 98 0.1 3.400000e+01 14.6
## 1196 4.900 95 0.2 6.234340e+05 18.3
## 1197 4.300 61 0.3 1.182785e+07 27.3
## 1198 2.510 87 0.1 1.391910e+05 2.3
## 1199 2.620 99 0.1 1.413749e+07 2.1
## 1200 8.790 5 0.1 2.411898e+07 19.5
## 1201 4.220 63 0.3 1.126136e+09 27.2
## 1202 5.890 99 0.1 1.301866e+06 7.4
## 1203 5.890 96 0.1 3.120000e+02 14.5
## 1204 4.280 97 0.1 1.922800e+04 15.4
## 1205 4.410 89 0.3 6.428200e+04 18.0
## 1206 2.680 93 0.1 1.434311e+07 19.9
## 1207 8.700 58 0.1 2.577980e+05 19.3
## 1208 5.720 75 0.2 2.564287e+06 17.6
## 1209 6.600 95 0.1 1.610463e+06 7.4
## 1210 9.520 98 0.1 3.210000e+02 14.4
## 1211 4.600 99 0.1 1.937300e+04 15.4
## 1212 5.270 95 0.3 6.722280e+05 17.5
## 1213 2.800 94 0.1 1.453684e+06 19.7
## 1214 5.700 89 0.2 2.594618e+06 17.4
## 1215 3.400 78 0.1 1.579399e+07 21.0
## 1216 4.600 98 0.1 1.952000e+03 15.4
## 1217 7.430 58 0.1 2.589345e+06 19.2
## 1218 4.250 65 0.3 1.161978e+09 27.1
## 1219 3.760 98 0.1 1.966800e+04 15.4
## 1220 5.840 99 0.1 2.127391e+07 7.5
## 1221 5.880 95 0.3 6.869580e+05 17.3
## 1222 6.730 63 0.1 2.661679e+07 19.0
## 1223 2.800 94 0.1 1.471392e+08 19.5
## 1224 4.230 64 0.3 1.179681e+09 27.1
## 1225 3.350 75 0.1 1.633297e+07 2.8
## 1226 6.640 98 0.1 3.490000e+02 14.3
## 1227 3.440 98 0.1 1.981700e+04 15.4
## 1228 2.850 96 0.1 1.488581e+07 19.3
## 1229 4.340 7 0.3 1.197147e+08 27.0
## 1230 6.280 99 0.1 8.807623e+06 7.6
## 1231 3.260 62 0.1 1.636446e+07 2.7
## 1232 8.330 64 0.1 2.729431e+06 18.8
## 1233 9.300 98 0.1 3.620000e+02 14.2
## 1234 7.630 99 0.1 1.129968e+06 7.7
## 1235 3.370 97 0.1 1.996800e+04 15.3
## 1236 2.940 71 0.1 1.674958e+06 2.5
## 1237 9.420 63 0.1 2.843310e+05 18.6
## 1238 5.170 91 0.5 7.276410e+05 16.6
## 1239 3.430 99 0.1 2.119000e+03 15.3
## 1240 9.200 66 0.1 2.883167e+06 18.4
## 1241 6.430 82 0.2 2.723137e+06 16.7
## 1242 8.200 99 0.1 2.239660e+06 7.8
## 1243 4.280 79 0.2 1.239869e+07 27.0
## 1244 7.930 96 0.1 3.670000e+02 14.0
## 1245 3.280 99 0.1 2.271000e+03 15.3
## 1246 6.730 92 0.2 2.732715e+07 16.5
## 1247 4.730 95 0.5 7.451000e+03 16.3
## 1248 3.100 74 0.1 1.741843e+08 2.0
## 1249 7.870 68 0.1 2.978599e+06 18.2
## 1250 4.330 82 0.2 1.247236e+08 26.9
## 1251 8.110 96 0.1 3.770000e+02 13.9
## 1252 3.160 96 0.1 1.539119e+08 18.7
## 1253 9.160 99 0.1 3.850000e+02 13.8
## 1254 3.210 99 0.1 2.425000e+03 15.3
## 1255 8.520 67 0.1 3.696958e+06 17.9
## 1256 3.700 97 0.6 7.529670e+05 16.1
## 1257 6.980 99 0.1 9.634856e+06 8.0
## 1258 5.890 9 0.2 2.764993e+07 16.3
## 1259 3.800 94 0.1 1.557275e+07 18.5
## 1260 2.760 72 0.1 1.779115e+08 19.8
## 1261 4.390 82 0.2 1.263659e+08 26.9
## 1262 3.680 99 0.1 2.585000e+03 15.2
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## 1264 8.130 64 0.1 3.173169e+07 17.7
## 1265 11.160 99 0.1 3.930000e+02 13.7
## 1266 2.700 72 0.1 1.817126e+08 19.6
## 1267 2.880 96 0.1 1.575713e+08 18.3
## 1268 3.500 99 0.1 2.771000e+03 15.2
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## 1270 2.610 72 0.1 1.855463e+08 19.4
## 1271 6.890 99 0.1 8.360864e+06 8.3
## 1272 2.820 97 0.1 1.594528e+07 18.1
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## 1274 5.800 92 0.1 2.832324e+07 15.9
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## 1277 5.755 99 0.1 2.966000e+03 15.1
## 1278 5.755 99 0.1 4.916300e+04 13.6
## 1279 5.755 98 0.1 1.504142e+06 8.5
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## 1289 8.520 95 0.1 3.766760e+05 2.8
## 1290 7.900 85 0.1 3.766760e+05 3.3
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## 1295 7.160 91 0.1 3.771284e+06 3.2
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## 1308 7.100 8 0.1 3.775870e+05 3.1
## 1309 8.620 93 0.1 1.994530e+05 2.1
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## 1400 6.760 95 0.1 4.194550e+05 2.2
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## 1408 9.890 99 0.1 4.233740e+05 0.8
## 1409 5.660 99 0.1 2.895920e+05 1.3
## 1410 9.290 95 0.1 2.599530e+05 1.4
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## 1413 1.120 95 0.1 7.164132e+06 2.1
## 1414 9.260 99 0.1 1.965211e+06 0.8
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## 1422 9.500 98 0.1 1.416200e+04 0.7
## 1423 1.370 93 0.1 7.135760e+05 2.1
## 1424 9.300 97 0.1 4.648882e+06 0.6
## 1425 9.250 95 0.1 6.789140e+05 0.6
## 1426 8.800 99 0.1 1.892413e+06 0.8
## 1427 9.230 95 0.1 2.619800e+04 1.4
## 1428 5.755 94 0.1 4.236400e+04 1.5
## 1429 5.755 95 0.1 7.953830e+05 2.0
## 1430 5.755 82 0.1 3.535961e+06 2.3
## 1431 5.755 99 0.1 1.828830e+05 0.8
## 1432 5.755 98 0.1 1.358760e+05 0.7
## 1433 5.755 93 0.1 6.735820e+05 0.6
## 1434 6.000 99 0.1 2.887300e+04 1.2
## 1435 5.755 91 0.1 4.318740e+05 2.1
## 1436 2.890 45 9.5 1.231122e+06 8.0
## 1437 4.340 78 2.0 6.865951e+06 9.7
## 1438 5.800 57 0.6 1.576686e+06 8.7
## 1439 8.700 73 21.3 4.489686e+07 16.3
## 1440 2.130 33 7.8 1.243229e+06 9.5
## 1441 4.980 8 5.2 6.476000e+03 9.0
## 1442 6.110 79 22.8 1.899257e+06 15.7
## 1443 3.610 8 2.0 1.243229e+06 1.2
## 1444 4.620 98 0.1 8.113100e+04 6.3
## 1445 4.810 9 0.8 4.357900e+04 9.6
## 1446 4.220 9 8.5 8.257300e+04 7.6
## 1447 5.750 46 4.1 7.175840e+05 6.4
## 1448 4.480 62 7.7 1.527423e+07 7.7
## 1449 6.700 75 25.5 1.137617e+07 8.0
## 1450 5.910 46 3.1 2.884522e+06 9.2
## 1451 6.280 36 4.6 8.342559e+06 11.5
## 1452 6.290 43 2.5 1.967690e+05 11.0
## 1453 3.780 88 0.1 1.186873e+06 8.1
## 1454 6.100 34 1.5 1.135297e+07 12.8
## 1455 3.000 88 3.6 1.893876e+07 9.2
## 1456 8.860 82 1.5 1.386600e+04 8.0
## 1457 13.630 44 1.2 4.564297e+06 1.3
## 1458 2.640 79 12.8 1.243229e+06 8.3
## 1459 4.360 3 5.0 6.653733e+07 11.9
## 1460 3.560 7 0.1 5.423570e+05 7.9
## 1461 2.730 34 1.9 6.143230e+05 1.7
## 1462 5.260 84 46.4 1.614680e+05 9.4
## 1463 6.160 7 12.2 1.867687e+06 4.2
## 1464 5.260 51 1.1 2.793590e+05 1.9
## 1465 4.430 81 1.9 3.392810e+05 1.2
## 1466 5.755 93 2.7 6.765600e+04 3.3
## 1467 3.460 46 3.0 8.885460e+05 1.3
## 1468 1.450 4 2.5 1.243229e+06 12.4
## 1469 2.840 29 4.9 1.223529e+06 14.3
## 1470 5.755 33 0.8 8.721465e+06 8.0
## 1471 6.000 65 7.1 1.243229e+06 8.1
## 1472 4.380 77 8.1 8.329460e+05 7.4
## 1473 8.310 71 24.0 4.531294e+07 15.4
## 1474 5.190 9 0.8 4.437160e+05 9.4
## 1475 7.100 36 1.6 1.177198e+07 12.7
## 1476 5.170 6 0.7 1.626932e+06 8.6
## 1477 3.230 45 10.1 1.262259e+06 7.8
## 1478 6.180 78 23.9 1.933596e+06 15.2
## 1479 5.110 84 48.8 1.729270e+05 9.0
## 1480 3.870 92 0.1 1.196287e+06 8.0
## 1481 4.620 8 16.9 3.232148e+07 9.0
## 1482 6.900 26 4.8 8.663120e+05 11.3
## 1483 1.780 35 2.3 6.397620e+05 1.6
## 1484 1.280 92 1.5 1.416220e+05 7.8
## 1485 5.730 97 37.2 1.754935e+06 11.8
## 1486 3.710 87 2.3 1.933596e+06 1.0
## 1487 4.260 32 4.9 6.849226e+07 11.8
## 1488 4.690 76 2.1 7.767330e+05 9.5
## 1489 5.370 53 4.3 7.327110e+05 6.3
## 1490 2.440 31 7.6 1.933596e+06 9.4
## 1491 6.390 49 2.4 1.129326e+07 1.8
## 1492 4.850 62 3.6 1.194459e+07 11.2
## 1493 3.950 4 13.9 3.832230e+05 1.4
## 1494 7.260 55 10.8 2.485489e+07 6.9
## 1495 3.250 27 5.1 1.254634e+08 14.1
## 1496 5.400 53 3.6 1.267512e+06 1.0
## 1497 3.950 86 2.0 3.497124e+06 1.0
## 1498 5.755 33 0.8 9.070747e+06 7.9
## 1499 3.560 79 3.5 1.942165e+06 9.0
## 1500 2.860 7 0.1 5.558880e+05 7.8
## 1501 5.640 73 13.4 1.858876e+07 4.1
## 1502 2.670 3 2.4 1.933596e+06 12.2
## 1503 4.340 75 1.2 2.797290e+05 1.7
## 1504 5.755 93 3.0 6.974442e+06 3.3
## 1505 4.850 66 7.0 1.933596e+06 7.9
## 1506 4.980 52 0.6 1.134497e+06 12.1
## 1507 4.290 5 5.3 5.111770e+05 9.2
## 1508 3.650 5 3.0 8.971139e+06 1.1
## 1509 4.180 88 8.0 8.536250e+05 7.2
## 1510 4.240 88 0.1 1.246210e+05 7.9
## 1511 8.900 7 26.6 4.585548e+07 14.5
## 1512 6.550 39 1.6 1.226200e+04 12.5
## 1513 3.630 41 2.3 1.757265e+07 1.5
## 1514 6.910 84 32.5 1.923120e+05 1.6
## 1515 6.530 71 39.8 1.255250e+05 1.2
## 1516 4.210 99 0.1 8.372300e+04 6.1
## 1517 4.860 66 7.8 1.684886e+06 7.4
## 1518 5.150 81 5.2 6.741569e+06 8.7
## 1519 6.170 77 24.6 1.962147e+06 14.7
## 1520 6.930 84 18.4 1.112490e+05 7.4
## 1521 5.290 62 0.7 1.676512e+07 8.5
## 1522 5.260 69 3.2 1.229310e+05 11.0
## 1523 5.840 57 4.1 1.293523e+06 9.8
## 1524 3.590 89 12.1 1.396861e+06 8.0
## 1525 4.820 64 24.7 1.213711e+06 7.7
## 1526 5.170 91 0.8 4.521600e+04 9.2
## 1527 4.730 35 4.6 7.497192e+06 11.7
## 1528 1.210 92 1.4 1.448890e+05 7.6
## 1529 5.430 39 3.1 3.628630e+05 8.8
## 1530 6.470 97 34.6 1.779953e+06 11.4
## 1531 2.450 41 7.2 1.396861e+06 9.3
## 1532 4.470 64 6.9 1.396861e+06 7.7
## 1533 3.390 89 0.1 5.694790e+05 7.7
## 1534 4.270 75 2.1 7.295394e+06 9.3
## 1535 8.330 25 5.0 9.168900e+04 11.1
## 1536 4.540 84 15.7 3.321490e+05 8.9
## 1537 4.700 59 5.3 5.251472e+06 9.0
## 1538 3.700 78 3.5 1.992452e+07 8.8
## 1539 5.160 85 49.9 1.893000e+03 8.6
## 1540 4.200 9 1.9 3.614639e+06 9.9
## 1541 5.310 89 1.2 2.873228e+06 1.5
## 1542 3.750 87 2.5 1.396861e+06 9.8
## 1543 7.780 57 10.0 2.571848e+06 6.8
## 1544 2.590 38 2.4 1.396861e+06 12.1
## 1545 5.755 4 0.9 9.411103e+06 7.8
## 1546 5.755 93 3.3 7.237276e+06 3.3
## 1547 4.160 44 13.4 3.976120e+05 1.2
## 1548 2.500 36 2.9 6.664700e+04 1.4
## 1549 6.320 61 2.3 1.163893e+07 1.5
## 1550 5.600 6 0.7 1.396861e+06 12.0
## 1551 6.450 76 14.5 1.913966e+07 4.0
## 1552 6.340 96 8.1 8.683460e+05 7.0
## 1553 6.520 68 36.7 1.263390e+07 9.8
## 1554 4.410 4 2.4 1.823369e+06 1.4
## 1555 5.250 82 5.1 6.953113e+06 8.5
## 1556 7.130 9 33.8 1.918970e+05 1.2
## 1557 4.150 99 0.1 1.213370e+05 7.9
## 1558 4.640 37 4.4 7.254514e+07 11.6
## 1559 6.250 63 2.2 1.251280e+05 1.3
## 1560 3.120 8 3.4 2.446782e+06 8.6
## 1561 8.260 69 28.9 4.641819e+07 13.5
## 1562 11.690 73 1.9 5.199549e+06 9.7
## 1563 5.620 6 4.6 1.321220e+05 9.6
## 1564 4.970 73 7.7 1.651382e+07 7.2
## 1565 3.440 35 3.2 3.116233e+06 8.7
## 1566 5.610 79 2.9 1.265462e+07 1.7
## 1567 4.640 99 0.1 8.278100e+04 6.1
## 1568 4.630 73 2.1 7.525550e+05 9.1
## 1569 2.610 5 6.8 1.823369e+06 9.1
## 1570 2.230 37 3.6 6.946110e+05 1.2
## 1571 4.450 73 14.5 3.413852e+06 8.8
## 1572 5.710 85 50.6 1.873920e+05 8.2
## 1573 4.600 95 11.5 1.823369e+06 7.9
## 1574 3.200 41 2.2 1.823369e+06 11.9
## 1575 6.520 79 24.7 1.986535e+06 14.2
## 1576 11.120 94 1.6 1.483720e+05 7.4
## 1577 5.000 72 5.2 5.391410e+05 8.8
## 1578 4.310 47 12.8 3.981665e+06 1.0
## 1579 5.000 92 0.9 4.614700e+04 8.9
## 1580 5.755 4 0.9 9.758281e+06 7.7
## 1581 3.450 57 2.9 9.398480e+05 9.7
## 1582 6.220 68 4.2 7.586150e+05 6.1
## 1583 4.650 96 31.9 1.843390e+05 1.9
## 1584 4.500 29 5.4 1.319725e+08 13.5
## 1585 3.650 8 0.1 5.832110e+05 7.6
## 1586 6.390 85 15.3 1.971660e+07 4.0
## 1587 4.650 61 6.7 1.823369e+06 7.5
## 1588 5.755 93 3.5 7.516420e+05 3.3
## 1589 4.710 4 2.5 1.886572e+07 1.2
## 1590 4.170 99 0.1 8.247500e+04 6.0
## 1591 3.260 45 11.1 1.364250e+05 7.4
## 1592 6.470 81 24.0 2.922800e+04 13.7
## 1593 7.930 74 29.7 4.717990e+03 12.6
## 1594 6.610 43 1.6 1.312712e+06 12.1
## 1595 6.240 89 7.7 8.818438e+06 6.9
## 1596 7.130 65 33.6 1.277751e+07 9.4
## 1597 4.290 98 0.1 1.221300e+04 7.8
## 1598 7.820 89 23.4 1.267638e+06 7.5
## 1599 9.940 96 1.6 1.519690e+05 7.2
## 1600 6.960 9 34.6 1.933728e+06 9.7
## 1601 2.560 67 6.3 1.267638e+06 9.0
## 1602 6.280 69 2.0 1.239196e+06 1.1
## 1603 4.350 87 2.9 1.267638e+06 9.4
## 1604 8.770 31 3.2 3.176414e+06 8.5
## 1605 5.410 64 5.0 1.353450e+05 9.4
## 1606 3.960 8 3.2 2.986536e+06 8.4
## 1607 8.900 62 8.9 2.756844e+07 6.6
## 1608 4.100 95 10.8 1.267638e+06 7.8
## 1609 4.230 4 4.1 7.462445e+06 11.5
## 1610 7.330 83 17.6 1.173175e+07 7.2
## 1611 3.140 6 2.8 9.492290e+05 9.5
## 1612 5.910 83 15.9 2.312750e+05 3.9
## 1613 5.720 21 5.2 9.714300e+04 1.7
## 1614 11.660 65 2.1 5.439695e+06 9.5
## 1615 4.560 72 2.1 7.754000e+03 8.9
## 1616 5.600 93 0.8 4.676640e+05 8.7
## 1617 5.880 86 50.3 1.955300e+04 7.7
## 1618 3.340 54 2.1 1.267638e+06 11.7
## 1619 5.755 93 3.8 7.787655e+06 3.3
## 1620 2.400 38 4.4 7.248170e+05 1.0
## 1621 4.330 33 5.4 1.353936e+08 13.2
## 1622 5.680 87 0.7 1.955944e+06 11.6
## 1623 5.240 67 6.5 1.267638e+06 7.3
## 1624 3.960 76 0.1 5.972280e+05 7.5
## 1625 5.600 71 5.1 5.534598e+06 8.6
## 1626 9.840 87 4.3 7.423289e+06 8.2
## 1627 7.320 86 22.1 2.321960e+05 13.1
## 1628 6.830 95 7.1 8.991735e+06 6.8
## 1629 2.820 59 2.7 9.679745e+06 9.3
## 1630 7.770 79 29.5 4.766672e+05 11.6
## 1631 4.100 38 2.6 1.955254e+07 1.0
## 1632 4.470 97 0.1 1.228254e+06 7.7
## 1633 2.760 45 10.9 1.431260e+05 7.2
## 1634 12.250 65 2.2 5.658379e+06 9.3
## 1635 4.750 8 7.4 1.742795e+06 6.9
## 1636 3.140 6 2.0 1.252156e+06 11.5
## 1637 4.730 7 2.1 7.982225e+06 8.7
## 1638 1.400 97 1.6 1.556300e+04 7.0
## 1639 4.200 44 3.7 7.672783e+06 11.5
## 1640 8.200 93 22.4 1.339711e+06 7.4
## 1641 2.970 96 1.6 3.969700e+04 9.4
## 1642 5.720 68 5.4 1.388380e+05 9.2
## 1643 6.870 82 2.3 1.342193e+06 1.3
## 1644 6.340 77 1.9 1.279876e+07 9.9
## 1645 7.560 82 17.0 1.252156e+06 7.1
## 1646 8.400 6 3.1 3.261230e+05 8.3
## 1647 4.860 95 0.8 4.745670e+05 8.5
## 1648 4.970 95 3.0 1.252156e+06 9.2
## 1649 4.510 84 3.1 2.154290e+05 8.1
## 1650 7.150 45 1.6 1.361845e+07 11.9
## 1651 5.620 96 20.6 1.855852e+06 1.0
## 1652 6.800 86 49.1 1.158730e+05 7.3
## 1653 4.360 76 11.6 3.648288e+06 8.6
## 1654 4.210 71 1.3 3.137200e+04 9.8
## 1655 4.110 36 5.4 1.389395e+08 12.9
## 1656 5.300 85 0.6 1.833672e+07 8.1
## 1657 2.420 62 5.9 1.252156e+06 8.8
## 1658 6.870 8 16.2 2.923700e+04 3.9
## 1659 5.390 76 6.1 1.252156e+06 7.2
## 1660 5.755 35 0.9 1.046729e+07 7.5
## 1661 5.170 82 5.0 5.683268e+06 8.4
## 1662 5.755 93 3.9 8.188770e+05 3.3
## 1663 4.290 54 11.2 4.127910e+05 9.7
## 1664 9.360 64 8.7 2.854394e+06 6.5
## 1665 7.210 71 3.9 7.832540e+05 5.9
## 1666 5.350 84 0.7 1.125127e+07 11.4
## 1667 4.320 68 0.1 6.116270e+05 7.5
## 1668 1.630 39 4.9 7.573170e+05 9.8
## 1669 4.380 97 0.1 1.233996e+06 7.6
## 1670 11.490 92 3.8 7.675338e+06 8.1
## 1671 3.390 62 2.0 1.965662e+06 11.3
## 1672 4.930 96 14.4 1.884238e+06 9.6
## 1673 4.540 34 2.5 2.262399e+06 9.8
## 1674 1.200 99 6.2 9.265800e+04 6.8
## 1675 5.870 71 5.6 1.412669e+06 8.9
## 1676 8.990 99 21.1 1.342926e+07 7.3
## 1677 7.120 89 34.1 1.965662e+06 8.8
## 1678 7.570 82 28.1 4.823384e+06 1.6
## 1679 7.840 97 1.2 1.593280e+05 6.9
## 1680 5.755 93 4.1 8.468152e+06 3.3
## 1681 1.900 6 3.0 3.375838e+06 8.1
## 1682 7.390 51 1.5 1.413264e+06 11.6
## 1683 9.860 64 8.6 2.955662e+06 6.4
## 1684 2.130 4 5.3 7.922170e+05 9.7
## 1685 6.110 81 15.9 1.238345e+07 7.0
## 1686 3.200 57 2.6 9.881428e+06 9.1
## 1687 5.520 95 3.0 1.965662e+06 9.0
## 1688 5.870 77 5.8 1.965662e+06 7.0
## 1689 5.755 26 0.9 1.078497e+07 7.4
## 1690 6.580 86 2.0 1.382918e+07 1.0
## 1691 7.200 86 19.2 2.557340e+05 12.6
## 1692 4.470 46 3.3 7.885689e+06 11.4
## 1693 2.370 73 5.5 1.965662e+06 8.7
## 1694 5.110 85 0.6 1.888268e+06 8.0
## 1695 2.880 45 10.7 1.444844e+06 7.1
## 1696 5.560 84 5.0 5.837792e+06 8.1
## 1697 6.810 87 43.7 1.125140e+05 6.9
## 1698 3.210 68 1.3 3.226530e+05 9.6
## 1699 5.110 96 0.6 4.879500e+04 8.3
## 1700 6.560 78 1.8 1.322764e+06 9.7
## 1701 4.750 74 2.0 8.216896e+06 8.5
## 1702 6.510 78 16.3 2.154746e+07 3.8
## 1703 4.240 8 10.3 3.752500e+04 8.5
## 1704 5.440 89 0.7 1.155676e+07 11.2
## 1705 3.660 4 5.3 1.426149e+07 12.6
## 1706 3.300 94 1.4 4.666480e+05 9.3
## 1707 3.380 73 2.6 2.997687e+06 9.6
## 1708 9.760 73 8.4 3.594870e+05 6.3
## 1709 5.300 94 2.6 2.272120e+05 7.7
## 1710 4.240 97 0.1 1.239630e+05 7.5
## 1711 6.100 74 5.7 1.445958e+06 8.7
## 1712 3.800 63 2.4 1.967270e+05 8.9
## 1713 3.350 28 4.9 1.775780e+05 1.0
## 1714 4.710 96 13.4 1.914414e+06 9.2
## 1715 4.370 8 13.6 1.272597e+07 6.9
## 1716 5.755 93 4.2 8.856800e+04 3.3
## 1717 7.440 97 1.2 1.631100e+04 6.7
## 1718 5.250 75 14.1 2.218839e+07 3.8
## 1719 4.300 98 0.6 4.864380e+05 8.1
## 1720 3.290 91 1.3 4.153332e+06 9.2
## 1721 9.310 87 19.3 1.384969e+06 7.1
## 1722 6.350 76 5.3 1.384969e+06 6.8
## 1723 4.720 83 8.5 1.384969e+06 7.5
## 1724 4.470 73 23.7 1.332999e+06 8.2
## 1725 3.300 99 0.1 8.533000e+03 5.9
## 1726 4.980 84 0.6 1.943352e+07 7.9
## 1727 4.690 5 2.8 8.149000e+03 11.3
## 1728 5.550 82 5.1 5.997385e+06 7.9
## 1729 1.120 64 2.2 6.154170e+05 8.9
## 1730 7.720 88 3.5 8.942000e+03 5.8
## 1731 6.940 57 1.4 1.466834e+07 11.4
## 1732 6.990 86 15.2 2.799150e+05 12.0
## 1733 4.550 82 2.0 8.454791e+06 8.3
## 1734 4.760 82 7.0 1.839539e+07 6.6
## 1735 4.720 94 0.7 1.187356e+07 11.0
## 1736 6.970 74 1.7 1.367566e+06 9.4
## 1737 4.930 75 0.1 6.416200e+04 7.3
## 1738 3.540 75 1.3 3.312665e+06 9.4
## 1739 4.800 81 9.1 3.885990e+05 8.4
## 1740 4.400 48 9.0 4.275800e+04 9.4
## 1741 5.760 95 3.1 1.384969e+06 8.8
## 1742 5.550 96 12.7 1.946351e+06 8.8
## 1743 7.150 83 11.7 2.163750e+05 11.5
## 1744 3.960 99 0.4 4.917230e+05 7.8
## 1745 3.210 6 2.3 1.323142e+06 8.6
## 1746 4.460 65 1.8 2.329864e+06 1.8
## 1747 4.850 93 2.2 2.329864e+06 7.5
## 1748 4.940 88 0.6 1.223957e+06 1.8
## 1749 5.660 99 0.9 1.669130e+05 6.5
## 1750 4.500 77 0.5 1.999647e+07 7.8
## 1751 6.740 74 1.6 1.413822e+07 9.2
## 1752 4.870 87 11.9 1.382517e+06 6.8
## 1753 4.000 53 5.0 1.534739e+06 12.0
## 1754 3.690 94 1.1 4.232636e+06 9.1
## 1755 7.860 92 2.9 8.212264e+06 7.9
## 1756 4.960 75 20.5 1.355847e+07 7.8
## 1757 8.850 88 27.3 1.999930e+05 8.0
## 1758 2.640 99 0.1 8.695600e+04 5.9
## 1759 6.500 77 6.0 1.488410e+05 8.5
## 1760 6.210 74 4.1 2.329864e+06 6.6
## 1761 4.300 45 8.3 4.345386e+06 9.3
## 1762 6.770 93 1.5 1.468973e+07 9.5
## 1763 8.500 89 3.3 8.229340e+05 5.7
## 1764 6.760 67 1.3 1.522853e+07 11.2
## 1765 4.200 75 1.8 8.696916e+06 8.1
## 1766 2.900 79 4.3 2.329864e+06 8.4
## 1767 1.700 91 16.9 1.427123e+07 7.0
## 1768 5.950 96 3.0 2.329864e+06 8.6
## 1769 2.920 19 4.7 1.113386e+07 9.8
## 1770 3.230 74 1.3 3.475410e+05 9.2
## 1771 3.900 88 6.4 3.914842e+07 8.3
## 1772 8.190 88 40.2 1.158897e+06 6.1
## 1773 9.100 71 8.2 3.166390e+07 6.2
## 1774 5.180 84 6.7 1.897800e+04 6.4
## 1775 3.840 69 2.6 2.175942e+06 9.5
## 1776 4.210 86 7.4 2.329864e+06 7.3
## 1777 1.290 77 1.9 6.165372e+06 8.7
## 1778 7.660 97 3.7 9.781690e+05 6.7
## 1779 9.800 91 18.2 2.192900e+04 7.6
## 1780 2.640 99 0.1 8.729800e+04 5.8
## 1781 3.430 76 8.0 1.586754e+06 6.7
## 1782 5.755 93 4.2 9.676670e+05 3.3
## 1783 6.980 71 1.1 1.581391e+07 11.0
## 1784 8.460 88 33.7 1.186750e+05 5.8
## 1785 4.700 77 0.5 2.569121e+06 7.7
## 1786 3.850 57 2.3 1.556524e+06 8.4
## 1787 6.850 73 1.6 1.466597e+06 9.0
## 1788 4.240 99 0.4 4.969630e+05 7.6
## 1789 5.320 43 7.3 9.911100e+04 9.2
## 1790 6.960 94 2.4 8.489310e+05 7.8
## 1791 5.430 74 11.3 2.352463e+06 3.7
## 1792 4.410 58 2.0 8.541625e+07 11.1
## 1793 4.810 86 0.5 1.255917e+06 1.6
## 1794 8.390 76 19.0 5.255813e+06 8.1
## 1795 3.310 24 4.4 1.152786e+06 9.6
## 1796 6.260 73 18.1 1.381599e+06 7.5
## 1797 7.200 97 2.8 9.977446e+06 6.6
## 1798 6.410 81 3.7 1.381599e+06 6.5
## 1799 8.370 89 3.2 8.368400e+04 5.7
## 1800 3.300 92 1.0 4.313340e+05 9.0
## 1801 5.850 98 2.7 1.381599e+06 8.4
## 1802 3.820 83 0.1 6.732520e+05 7.2
## 1803 5.755 42 0.8 1.173004e+07 7.1
## 1804 3.790 64 1.2 3.562880e+05 8.9
## 1805 8.430 79 8.1 3.277190e+07 6.1
## 1806 5.170 94 2.1 2.393831e+06 7.3
## 1807 4.370 6 2.5 2.254955e+07 9.3
## 1808 4.240 63 4.9 1.544218e+07 11.7
## 1809 5.610 72 1.7 1.381599e+06 1.6
## 1810 1.180 93 14.9 1.471462e+06 6.9
## 1811 4.170 88 5.0 4.237240e+05 8.2
## 1812 4.970 99 0.1 1.247429e+06 7.3
## 1813 7.410 92 1.1 1.514199e+06 9.3
## 1814 2.270 78 4.0 1.381599e+06 8.3
## 1815 4.730 94 9.1 1.345642e+07 6.7
## 1816 14.390 81 2.1 3.811528e+06 7.6
## 1817 13.130 84 1.7 6.312600e+04 8.5
## 1818 4.460 79 1.6 8.944760e+05 7.9
## 1819 6.650 98 0.9 1.781300e+04 6.3
## 1820 6.810 8 6.0 1.517448e+06 8.3
## 1821 1.870 93 13.4 2.455100e+04 7.2
## 1822 5.280 84 5.5 1.997495e+06 6.1
## 1823 6.360 7 0.9 1.642558e+07 1.7
## 1824 5.750 97 2.1 8.766930e+05 8.2
## 1825 5.380 74 10.8 2.422145e+06 3.7
## 1826 3.590 99 0.1 8.977000e+03 5.8
## 1827 8.820 96 1.9 8.766930e+05 7.7
## 1828 5.755 45 0.8 1.202665e+07 7.0
## 1829 8.840 88 3.1 8.511460e+05 5.6
## 1830 4.860 7 0.5 2.115164e+06 7.6
## 1831 8.500 72 11.0 5.979432e+06 7.3
## 1832 4.950 76 1.4 9.199259e+06 7.8
## 1833 7.890 83 6.2 2.173170e+05 1.4
## 1834 5.640 95 6.2 2.148660e+05 8.0
## 1835 3.900 45 6.6 4.448525e+06 9.0
## 1836 1.500 93 13.7 1.516795e+06 6.8
## 1837 4.410 83 6.8 1.385330e+05 6.7
## 1838 11.200 8 8.0 3.391513e+07 6.0
## 1839 3.240 9 0.9 4.398400e+04 8.9
## 1840 3.390 77 2.5 2.336913e+07 9.1
## 1841 4.620 89 0.4 1.291623e+07 1.4
## 1842 3.470 54 4.8 1.585783e+08 11.3
## 1843 5.330 94 1.9 2.451214e+06 7.1
## 1844 5.290 99 0.2 1.254000e+03 7.2
## 1845 6.350 73 1.5 1.575850e+05 8.8
## 1846 5.370 83 3.8 6.529520e+05 7.3
## 1847 2.290 74 3.8 8.766930e+05 8.1
## 1848 2.950 39 4.1 1.188722e+06 9.4
## 1849 5.370 89 15.7 1.486317e+06 7.1
## 1850 3.840 44 7.2 9.511400e+04 9.0
## 1851 3.280 64 1.2 3.695430e+05 8.7
## 1852 7.170 91 1.0 1.565217e+06 9.0
## 1853 5.240 98 0.5 1.747760e+05 6.1
## 1854 4.400 6 1.6 8.766930e+05 1.4
## 1855 6.320 85 3.3 8.766930e+05 6.3
## 1856 6.700 83 5.9 1.555880e+05 8.0
## 1857 1.320 86 1.6 6.458720e+05 8.3
## 1858 7.910 97 2.3 1.246842e+06 6.5
## 1859 11.870 7 1.8 3.948125e+06 7.4
## 1860 5.210 85 2.6 6.679282e+06 7.1
## 1861 8.780 82 4.7 2.215621e+06 9.9
## 1862 4.240 73 0.4 2.174395e+07 7.5
## 1863 3.120 75 6.0 1.697110e+05 6.4
## 1864 11.790 96 10.5 2.641660e+05 6.8
## 1865 3.380 99 0.1 8.744100e+04 5.7
## 1866 3.730 47 5.8 4.476153e+06 8.8
## 1867 5.250 95 5.5 2.513390e+05 7.7
## 1868 6.230 76 9.6 2.493950e+05 3.7
## 1869 6.420 62 3.3 1.225258e+06 6.1
## 1870 8.580 96 1.5 9.435800e+04 7.6
## 1871 3.960 82 4.9 2.524470e+05 6.0
## 1872 11.670 97 11.2 1.562762e+07 6.7
## 1873 5.370 75 1.4 9.468200e+04 7.6
## 1874 6.550 65 1.4 9.467560e+05 1.9
## 1875 3.690 48 4.7 1.628778e+07 11.0
## 1876 3.530 74 1.6 1.225258e+06 1.2
## 1877 5.170 91 0.9 1.681940e+05 8.8
## 1878 6.240 96 1.8 1.225258e+06 8.0
## 1879 8.610 91 15.7 1.225258e+06 5.1
## 1880 3.600 96 0.7 4.474690e+05 8.8
## 1881 3.380 71 2.5 2.421857e+07 8.9
## 1882 4.730 63 2.0 1.135170e+05 8.0
## 1883 3.170 33 3.9 1.228865e+07 9.2
## 1884 2.870 75 1.2 3.717672e+06 8.5
## 1885 8.610 69 8.5 5.172935e+07 6.6
## 1886 2.790 82 3.5 1.225258e+06 8.0
## 1887 11.980 89 1.3 6.611692e+06 8.1
## 1888 6.310 93 13.3 1.438665e+07 6.8
## 1889 9.900 82 6.8 3.593648e+06 5.9
## 1890 5.755 61 3.9 1.448857e+06 3.3
## 1891 5.460 86 5.7 1.596154e+06 7.8
## 1892 4.810 91 1.3 2.512180e+07 6.9
## 1893 5.230 96 3.4 4.248684e+07 8.1
## 1894 7.710 97 1.3 1.516710e+05 6.3
## 1895 5.440 96 0.5 1.788000e+03 6.0
## 1896 8.240 84 3.7 2.263934e+06 9.5
## 1897 5.580 76 6.9 2.567666e+06 3.6
## 1898 11.140 95 9.0 2.899280e+05 6.4
## 1899 3.620 47 5.1 4.494160e+05 8.7
## 1900 5.490 94 3.0 4.364663e+07 8.0
## 1901 6.110 71 0.7 1.773163e+07 1.3
## 1902 6.140 82 2.9 1.638139e+06 5.9
## 1903 5.110 84 1.7 6.859482e+06 7.0
## 1904 8.950 81 1.9 8.811850e+05 5.6
## 1905 6.690 95 8.8 1.471826e+06 6.5
## 1906 1.190 8 1.2 4.181563e+06 7.0
## 1907 3.360 8 1.2 3.832390e+05 8.3
## 1908 6.120 98 1.4 1.638139e+06 7.8
## 1909 12.600 96 8.3 1.697350e+05 6.6
## 1910 3.300 75 2.6 2.596150e+05 8.8
## 1911 4.340 85 4.6 2.182383e+06 5.9
## 1912 3.300 42 4.4 1.672973e+08 1.7
## 1913 4.790 92 0.9 2.573349e+06 6.7
## 1914 7.580 78 4.6 3.636796e+06 5.8
## 1915 5.720 92 2.4 1.638139e+06 6.9
## 1916 3.980 85 3.3 1.638139e+06 7.9
## 1917 5.770 69 1.2 9.244418e+07 1.7
## 1918 6.270 95 4.4 2.893150e+05 7.3
## 1919 4.610 94 0.3 5.139790e+05 7.1
## 1920 3.000 4 3.6 1.275135e+06 9.0
## 1921 6.470 66 1.5 1.666700e+04 8.3
## 1922 7.110 86 0.8 7.238680e+05 6.9
## 1923 5.330 9 0.8 1.657122e+07 8.6
## 1924 4.860 8 1.3 9.729160e+05 7.4
## 1925 2.980 94 0.6 3.252596e+06 8.7
## 1926 8.790 65 7.6 5.256516e+06 6.0
## 1927 8.760 95 12.2 1.248158e+06 4.8
## 1928 5.960 87 5.3 1.638139e+06 7.7
## 1929 4.310 91 0.4 1.373513e+06 1.0
## 1930 4.000 24 8.2 1.385930e+05 8.7
## 1931 7.680 98 0.7 1.788853e+06 6.1
## 1932 5.390 62 1.9 1.128147e+07 7.8
## 1933 5.570 87 3.0 4.482685e+07 7.9
## 1934 11.700 93 9.6 2.117361e+06 6.1
## 1935 9.760 97 0.2 1.874500e+04 5.7
## 1936 3.890 74 1.2 1.772723e+06 9.9
## 1937 4.260 77 2.3 2.599834e+06 8.6
## 1938 5.810 8 2.4 1.772723e+06 5.8
## 1939 3.820 23 5.1 4.499653e+06 8.5
## 1940 4.590 77 1.2 1.445100e+04 7.2
## 1941 4.150 74 0.4 2.296115e+07 7.3
## 1942 5.900 67 0.6 1.842637e+07 1.0
## 1943 3.580 98 0.1 8.994900e+04 5.7
## 1944 5.120 84 1.5 7.429480e+05 6.8
## 1945 5.190 72 0.9 9.488772e+07 1.6
## 1946 3.420 39 3.1 1.313359e+07 8.8
## 1947 7.470 78 4.0 3.755373e+07 5.7
## 1948 6.580 69 1.6 1.647782e+07 8.1
## 1949 5.910 88 0.7 1.772723e+06 8.4
## 1950 6.490 97 1.6 1.772723e+06 7.6
## 1951 3.630 8 1.1 3.946170e+05 8.1
## 1952 5.900 78 5.1 2.643437e+07 3.6
## 1953 2.620 45 3.6 1.117749e+06 3.3
## 1954 6.880 95 6.8 1.554560e+05 6.2
## 1955 5.840 95 2.8 2.128570e+05 7.0
## 1956 4.290 89 4.0 2.165572e+07 5.8
## 1957 4.820 98 0.1 1.258653e+06 7.0
## 1958 4.630 9 0.9 2.634625e+07 6.6
## 1959 3.730 3 5.7 1.837460e+05 8.6
## 1960 6.140 87 4.5 1.681495e+06 7.5
## 1961 1.960 89 6.3 1.657715e+07 6.5
## 1962 9.140 82 2.1 8.966880e+05 5.6
## 1963 4.510 92 0.3 1.412320e+05 9.9
## 1964 7.690 98 0.5 1.165151e+06 5.9
## 1965 3.700 46 3.9 1.718293e+07 1.4
## 1966 3.100 94 0.5 3.296367e+06 8.6
## 1967 5.570 91 2.1 1.772723e+06 6.8
## 1968 5.755 42 0.8 1.285249e+07 6.8
## 1969 11.590 92 0.8 6.922790e+05 7.7
## 1970 4.290 93 0.2 5.216000e+03 6.9
## 1971 5.820 68 0.5 1.914822e+07 9.8
## 1972 4.590 78 1.1 1.286712e+06 7.1
## 1973 8.930 88 2.2 2.379920e+05 8.6
## 1974 1.620 93 9.4 2.145785e+06 5.8
## 1975 5.410 95 2.3 2.168573e+06 6.7
## 1976 4.330 8 1.1 1.875713e+06 9.7
## 1977 6.440 91 6.3 1.541168e+07 5.9
## 1978 5.720 76 2.0 1.875713e+06 5.6
## 1979 11.380 91 5.1 1.768838e+06 6.5
## 1980 7.530 98 0.4 1.134536e+07 5.8
## 1981 2.740 39 3.5 1.153971e+06 3.3
## 1982 5.590 87 3.4 1.725744e+06 7.3
## 1983 4.200 47 4.5 4.515392e+06 8.4
## 1984 4.960 91 0.6 1.758598e+07 8.2
## 1985 7.220 78 3.2 3.883334e+07 5.7
## 1986 3.560 98 0.8 2.696256e+07 6.4
## 1987 7.540 95 0.7 9.891790e+05 7.4
## 1988 4.990 86 4.3 1.562974e+06 6.3
## 1989 6.980 79 4.1 2.721238e+07 3.6
## 1990 9.250 98 7.3 1.295970e+05 4.3
## 1991 5.640 51 0.5 1.185590e+05 7.5
## 1992 8.350 95 0.2 1.912660e+05 5.6
## 1993 11.900 83 0.6 7.791620e+05 7.5
## 1994 4.810 97 0.1 1.269340e+05 7.0
## 1995 4.660 89 0.3 1.454611e+07 9.7
## 1996 6.750 87 0.8 7.593850e+05 6.8
## 1997 1.570 78 2.1 9.121640e+05 5.6
## 1998 1.400 5 0.9 4.397370e+05 6.7
## 1999 4.880 77 0.6 9.736677e+07 1.5
## 2000 3.770 84 0.9 4.639200e+04 8.0
## 2001 3.670 49 3.9 1.764652e+06 1.1
## 2002 4.760 95 0.2 5.264370e+05 6.8
## 2003 3.620 37 2.9 1.356944e+07 8.7
## 2004 5.150 9 3.0 1.875713e+06 7.6
## 2005 7.340 96 1.7 1.875713e+06 7.5
## 2006 5.755 69 0.3 2.423488e+06 7.1
## 2007 5.755 82 1.0 1.575952e+06 6.9
## 2008 5.755 97 0.1 9.341900e+04 5.7
## 2009 5.755 88 4.8 1.757367e+06 6.4
## 2010 5.755 49 3.7 1.811817e+08 9.8
## 2011 5.755 87 6.2 1.577745e+07 5.6
## 2012 5.755 31 3.4 1.188214e+07 3.3
## 2013 5.755 92 2.1 2.425561e+06 8.2
## 2014 5.755 8 2.7 1.931750e+05 6.1
## 2015 5.755 98 0.4 1.162955e+07 5.7
## 2016 5.755 54 0.5 1.291533e+06 7.3
## 2017 5.755 93 9.3 2.174645e+06 5.5
## 2018 5.755 83 1.9 1.746795e+06 5.5
## 2019 5.755 96 0.2 1.955530e+05 5.5
## 2020 5.755 89 2.8 4.723626e+07 7.8
## 2021 5.755 98 1.4 1.746795e+06 6.7
## 2022 5.755 95 2.2 2.291970e+05 6.4
## 2023 5.755 94 0.7 1.199270e+05 7.3
## 2024 5.755 87 3.2 1.775260e+05 7.1
## 2025 5.755 86 0.5 7.237250e+05 7.4
## 2026 5.755 8 3.9 2.816910e+05 3.6
## 2027 5.755 47 4.4 4.546100e+04 8.2
## 2028 5.755 84 3.5 2.283452e+07 5.6
## 2029 5.755 9 7.1 1.319110e+05 4.0
## 2030 5.755 78 3.1 4.144870e+05 5.6
## 2031 5.755 52 0.9 4.499621e+06 6.5
## 2032 5.755 42 0.7 1.376391e+07 6.6
## 2033 5.755 91 0.8 7.774240e+05 6.7
## 2034 5.755 84 2.1 9.274140e+05 5.6
## 2035 5.755 9 4.1 1.615870e+05 6.3
## 2036 5.755 75 3.6 5.511977e+06 4.4
## 2037 5.755 46 2.8 1.494130e+05 8.5
## 2038 5.755 64 1.9 2.785935e+06 8.3
## 2039 5.755 97 0.1 1.262650e+05 6.9
## 2040 5.755 93 0.2 5.329130e+05 6.6
## 2041 5.755 73 0.9 4.182341e+06 7.8
## 2042 5.755 64 1.5 1.746795e+06 7.7
## 2043 5.755 88 0.7 2.758282e+07 6.2
## 2044 5.755 95 0.4 3.340006e+06 8.4
## 2045 4.920 84 0.1 1.641848e+06 6.8
## 2046 5.770 97 0.1 9.432860e+05 0.9
## 2047 4.950 85 0.1 6.324121e+06 5.3
## 2048 5.755 8 0.1 2.356541e+07 5.6
## 2049 2.180 8 0.1 6.459370e+05 4.8
## 2050 4.670 76 0.1 8.486000e+03 3.2
## 2051 2.380 94 0.1 3.275333e+06 5.4
## 2052 4.240 95 0.1 2.154739e+07 7.3
## 2053 1.860 83 0.1 3.235366e+06 4.9
## 2054 6.250 93 0.1 3.695880e+05 2.1
## 2055 2.510 98 0.1 1.934901e+06 3.2
## 2056 6.940 8 0.1 4.418300e+04 3.1
## 2057 3.700 99 0.1 2.344253e+06 7.2
## 2058 4.140 74 0.1 1.292567e+06 14.1
## 2059 3.510 97 0.1 7.114420e+05 6.2
## 2060 4.920 82 0.1 1.676690e+07 6.7
## 2061 2.480 94 0.1 3.454198e+06 5.3
## 2062 5.755 78 0.1 2.425165e+07 5.6
## 2063 3.800 99 0.1 7.302570e+05 6.2
## 2064 7.610 92 0.1 6.439000e+03 1.1
## 2065 3.610 99 0.1 1.991674e+06 3.2
## 2066 9.900 99 0.1 5.193482e+06 4.0
## 2067 4.490 97 0.1 2.208593e+07 7.3
## 2068 3.800 99 0.1 2.374653e+06 7.1
## 2069 4.340 73 0.1 2.183164e+06 14.0
## 2070 5.160 88 0.1 6.419147e+07 5.2
## 2071 5.780 97 0.1 9.628200e+04 0.9
## 2072 5.940 94 0.1 3.565500e+04 2.1
## 2073 2.560 93 0.1 6.788310e+05 4.8
## 2074 7.490 9 0.1 6.570000e+02 1.1
## 2075 3.890 98 0.1 7.483240e+05 6.2
## 2076 1.500 77 0.1 3.522837e+06 4.8
## 2077 4.940 84 0.1 1.787910e+05 6.6
## 2078 3.560 99 0.1 2.047364e+06 3.2
## 2079 4.280 95 0.1 2.262342e+07 7.3
## 2080 2.720 94 0.1 3.633655e+06 5.3
## 2081 5.755 77 0.1 2.493930e+07 5.5
## 2082 8.720 84 0.1 4.357000e+03 2.9
## 2083 2.710 96 0.1 7.131860e+05 4.8
## 2084 4.470 76 0.1 8.171950e+05 3.1
## 2085 5.400 94 0.1 3.338970e+05 2.1
## 2086 3.230 99 0.1 2.101506e+06 3.2
## 2087 9.150 97 0.1 5.396774e+06 3.9
## 2088 5.120 83 0.1 1.741527e+07 6.6
## 2089 7.440 93 0.1 6.689700e+04 1.1
## 2090 3.740 97 0.1 7.782560e+05 6.1
## 2091 2.650 94 0.1 3.813443e+06 5.2
## 2092 9.300 74 0.1 3.714640e+05 4.8
## 2093 6.830 98 0.1 9.935630e+05 0.9
## 2094 5.340 68 0.1 6.685830e+05 5.1
## 2095 4.200 95 0.1 2.315085e+07 7.2
## 2096 4.140 92 0.1 7.485250e+05 4.8
## 2097 5.560 94 0.1 3.178600e+04 2.0
## 2098 6.560 77 0.1 8.234100e+04 3.0
## 2099 8.490 75 0.1 4.310000e+02 2.9
## 2100 5.000 61 0.1 8.859095e+05 14.0
## 2101 3.170 99 0.1 2.431600e+06 7.1
## 2102 2.760 98 0.1 2.153481e+06 3.2
## 2103 3.580 96 0.1 2.366181e+07 7.2
## 2104 3.610 96 0.1 7.779430e+05 4.8
## 2105 5.370 85 0.1 6.778550e+05 5.1
## 2106 8.530 78 0.1 4.245000e+03 2.8
## 2107 9.500 95 0.1 5.535595e+06 3.9
## 2108 6.420 98 0.1 1.141000e+03 0.9
## 2109 7.920 77 0.1 8.365000e+03 3.0
## 2110 8.910 75 0.1 3.863267e+06 4.7
## 2111 5.500 91 0.1 3.612000e+03 2.0
## 2112 3.370 98 0.1 8.334510e+05 6.1
## 2113 2.980 99 0.1 2.468855e+06 7.1
## 2114 2.460 94 0.1 3.993339e+06 5.2
## 2115 4.110 8 0.1 1.829461e+07 6.5
## 2116 4.130 65 0.1 2.784260e+05 5.4
## 2117 5.450 9 0.1 6.793460e+05 5.0
## 2118 7.860 75 0.1 8.391850e+05 2.9
## 2119 8.880 95 0.1 5.714111e+06 3.9
## 2120 8.600 82 0.1 4.190000e+02 2.8
## 2121 7.440 93 0.1 6.931000e+03 1.1
## 2122 2.590 99 0.1 2.515192e+06 7.0
## 2123 5.250 9 0.1 2.981259e+06 2.0
## 2124 4.580 79 0.1 1.568662e+06 13.9
## 2125 2.380 99 0.1 2.235403e+06 3.2
## 2126 3.420 96 0.1 2.439764e+07 7.2
## 2127 3.160 98 0.1 9.019210e+05 6.1
## 2128 2.320 94 0.1 4.280993e+06 5.1
## 2129 6.170 78 0.1 8.484550e+05 2.9
## 2130 5.810 9 0.1 6.876345e+06 5.0
## 2131 8.800 98 0.1 5.934232e+06 3.9
## 2132 2.580 96 0.1 1.015060e+06 4.9
## 2133 3.000 59 0.1 2.769791e+07 5.4
## 2134 6.280 97 0.1 1.455900e+04 0.9
## 2135 8.390 88 0.1 4.136000e+03 2.7
## 2136 4.820 78 0.1 1.689235e+06 13.9
## 2137 2.250 99 0.1 2.363409e+06 3.2
## 2138 4.580 87 0.1 2.958500e+04 2.0
## 2139 7.380 95 0.1 7.537000e+03 1.1
## 2140 8.900 8 0.1 4.864660e+05 4.7
## 2141 4.920 79 0.1 1.597590e+06 13.8
## 2142 3.690 57 0.1 2.839433e+06 5.4
## 2143 2.310 94 0.1 1.231893e+06 4.9
## 2144 6.400 96 0.1 6.959728e+07 5.0
## 2145 5.100 79 0.1 8.581300e+04 2.8
## 2146 6.500 97 0.1 1.637120e+05 0.9
## 2147 2.570 92 0.1 5.872624e+06 5.1
## 2148 7.370 95 0.1 7.181000e+03 1.1
## 2149 2.430 99 0.1 2.605700e+06 7.0
## 2150 2.130 99 0.1 2.506769e+06 3.2
## 2151 3.800 97 0.1 1.040532e+06 6.1
## 2152 3.720 8 0.1 1.963286e+06 6.4
## 2153 4.310 88 0.1 2.933560e+05 2.0
## 2154 1.930 99 0.1 2.650930e+06 3.3
## 2155 4.370 81 0.1 8.763400e+04 2.8
## 2156 1.870 97 0.1 1.444277e+06 5.0
## 2157 3.170 97 0.1 1.110343e+06 6.0
## 2158 2.930 92 0.1 6.988685e+06 5.1
## 2159 6.700 96 0.1 7.443200e+04 5.0
## 2160 8.990 92 0.1 4.300000e+01 2.6
## 2161 2.100 99 0.1 2.651028e+06 6.9
## 2162 2.870 98 0.1 2.743735e+07 7.2
## 2163 6.890 97 0.1 1.815630e+05 0.9
## 2164 3.400 79 0.1 2.325443e+06 6.4
## 2165 7.330 94 0.1 7.388000e+03 1.1
## 2166 7.420 81 0.1 4.183156e+06 4.7
## 2167 9.540 98 0.1 6.821116e+06 3.8
## 2168 7.400 99 0.1 1.987600e+04 0.9
## 2169 6.800 96 0.1 7.133919e+07 4.9
## 2170 2.630 99 0.1 1.610274e+06 5.0
## 2171 7.460 96 0.1 7.485600e+04 1.2
## 2172 5.850 81 0.1 8.947243e+06 2.8
## 2173 1.190 88 0.1 3.978000e+03 2.6
## 2174 5.320 76 0.1 2.856739e+06 13.8
## 2175 4.550 93 0.1 2.888584e+06 2.0
## 2176 4.650 78 0.1 2.989465e+07 5.4
## 2177 4.500 93 0.1 7.992644e+06 5.1
## 2178 4.900 98 0.1 2.848380e+07 7.3
## 2179 3.550 8 0.1 2.824893e+06 6.4
## 2180 3.790 98 0.1 1.179453e+06 6.0
## 2181 7.230 99 0.1 1.112670e+05 0.9
## 2182 2.900 97 0.1 1.713504e+06 5.0
## 2183 8.420 98 0.1 7.182390e+05 3.8
## 2184 3.490 98 0.1 2.941193e+07 7.3
## 2185 5.610 97 0.1 7.232691e+07 4.9
## 2186 1.500 92 0.1 3.926000e+03 2.6
## 2187 2.760 98 0.1 2.943356e+06 3.3
## 2188 7.190 81 0.1 4.337141e+06 4.7
## 2189 3.640 99 0.1 1.213645e+06 6.0
## 2190 4.560 94 0.1 2.877311e+06 2.0
## 2191 7.360 95 0.1 7.623600e+04 1.2
## 2192 2.740 99 0.1 2.881914e+06 6.9
## 2193 3.930 94 0.1 8.481771e+06 5.1
## 2194 7.540 99 0.1 1.124835e+06 0.9
## 2195 3.570 98 0.1 3.015095e+07 7.4
## 2196 5.290 97 0.1 7.349455e+06 4.9
## 2197 8.390 98 0.1 7.574943e+06 3.8
## 2198 7.120 81 0.1 4.588368e+06 4.7
## 2199 2.490 99 0.1 3.206870e+06 6.9
## 2200 3.230 72 0.1 2.863993e+06 6.3
## 2201 3.710 95 0.1 2.875581e+06 2.0
## 2202 7.390 94 0.1 7.765800e+04 1.2
## 2203 3.700 95 0.1 8.575205e+06 5.1
## 2204 3.400 99 0.1 1.212077e+06 6.1
## 2205 9.380 94 0.1 3.875000e+03 2.6
## 2206 5.400 69 0.1 3.009703e+06 13.7
## 2207 3.320 79 0.1 3.172753e+06 5.3
## 2208 8.000 98 0.1 7.992573e+06 3.9
## 2209 8.570 92 0.1 3.825000e+03 2.6
## 2210 6.990 81 0.1 4.916440e+05 4.8
## 2211 5.730 67 0.1 3.138293e+06 13.7
## 2212 5.260 69 0.1 3.277657e+07 5.3
## 2213 4.480 95 0.1 2.881922e+06 2.0
## 2214 3.860 98 0.1 3.082154e+07 7.5
## 2215 4.370 99 0.1 1.224939e+06 6.1
## 2216 2.520 98 0.1 3.535579e+06 7.0
## 2217 7.440 99 0.1 1.135620e+05 0.9
## 2218 5.370 89 0.1 9.295784e+06 2.8
## 2219 2.570 98 0.1 3.394663e+06 3.4
## 2220 6.630 81 0.1 5.276120e+05 4.8
## 2221 5.380 98 0.1 7.578733e+07 4.9
## 2222 7.250 93 0.1 3.776000e+03 2.7
## 2223 2.560 99 0.1 3.646518e+06 3.4
## 2224 2.760 98 0.1 3.816680e+06 7.0
## 2225 4.250 98 0.1 3.148250e+07 7.6
## 2226 5.540 93 0.1 9.416810e+05 2.8
## 2227 3.250 41 0.1 1.989141e+06 6.3
## 2228 7.460 99 0.1 1.143896e+06 0.9
## 2229 3.490 98 0.1 8.751847e+06 5.2
## 2230 4.690 99 0.1 1.261673e+06 6.1
## 2231 4.550 95 0.1 2.893590e+05 2.1
## 2232 5.920 68 0.1 3.388315e+07 5.3
## 2233 7.450 98 0.1 8.893600e+04 3.9
## 2234 7.370 99 0.1 1.152390e+05 0.9
## 2235 5.410 96 0.1 7.736280e+05 4.9
## 2236 6.390 81 0.1 5.632790e+05 4.8
## 2237 7.810 95 0.1 8.215700e+04 1.2
## 2238 5.640 73 0.1 6.684535e+05 13.7
## 2239 3.400 95 0.1 3.761584e+06 3.4
## 2240 4.480 93 0.1 2.962200e+04 2.1
## 2241 4.980 98 0.1 1.311134e+06 6.1
## 2242 5.755 99 0.1 9.159320e+05 4.0
## 2243 5.755 99 0.1 8.916899e+06 5.3
## 2244 5.755 94 0.1 2.916950e+05 2.1
## 2245 5.755 97 0.1 7.827147e+07 4.9
## 2246 5.755 58 0.1 3.611565e+07 5.3
## 2247 5.755 99 0.1 3.908743e+06 3.5
## 2248 5.755 98 0.1 3.274985e+07 7.8
## 2249 5.755 95 0.1 8.381000e+03 1.2
## 2250 5.755 96 0.1 9.649341e+06 2.8
## 2251 5.755 99 0.1 2.414573e+06 5.2
## 2252 5.755 98 0.1 1.362142e+06 6.2
## 2253 5.755 41 0.1 1.873499e+07 6.3
## 2254 5.755 94 0.1 3.717100e+04 2.7
## 2255 5.755 69 0.1 4.050260e+06 13.6
## 2256 9.910 93 0.1 7.184250e+05 0.7
## 2257 1.100 9 0.1 8.221158e+06 1.2
## 2258 7.480 99 0.1 4.363000e+03 1.0
## 2259 9.770 97 0.1 6.912498e+06 0.7
## 2260 8.120 95 0.1 1.251250e+05 0.8
## 2261 1.600 81 0.1 8.115660e+05 1.7
## 2262 1.150 93 0.1 8.234993e+07 1.2
## 2263 1.120 84 0.1 8.422930e+05 1.7
## 2264 7.790 97 0.1 1.646180e+05 1.1
## 2265 7.400 99 0.1 4.415250e+05 1.0
## 2266 1.280 93 0.1 7.229854e+06 0.7
## 2267 8.290 95 0.1 1.286570e+05 0.8
## 2268 9.890 97 0.1 6.135743e+07 0.7
## 2269 8.270 99 0.1 4.461750e+05 1.0
## 2270 1.270 83 0.1 8.819570e+05 1.7
## 2271 1.610 93 0.1 7.284753e+06 0.6
## 2272 1.220 97 0.1 6.185267e+06 0.7
## 2273 1.400 93 0.1 8.248850e+07 1.2
## 2274 8.340 97 0.1 1.614893e+07 1.1
## 2275 9.300 95 0.1 1.376133e+06 0.8
## 2276 8.460 98 0.1 1.622532e+06 1.1
## 2277 1.430 97 0.1 6.224488e+07 0.6
## 2278 1.480 84 0.1 8.121423e+06 1.7
## 2279 9.320 95 0.1 1.421137e+06 0.8
## 2280 1.530 98 0.1 6.274897e+06 0.6
## 2281 8.200 99 0.1 4.589500e+04 1.0
## 2282 8.520 98 0.1 1.628178e+07 1.0
## 2283 1.370 96 0.1 8.251626e+06 1.1
## 2284 1.960 93 0.1 7.389625e+06 0.6
## 2285 1.600 98 0.1 6.317936e+07 0.6
## 2286 9.240 97 0.1 1.478617e+06 0.8
## 2287 7.950 99 0.1 4.651580e+05 1.0
## 2288 1.530 86 0.1 8.227829e+06 1.7
## 2289 1.860 94 0.1 7.437115e+06 0.6
## 2290 9.600 96 0.1 1.631987e+07 1.0
## 2291 1.520 96 0.1 8.246942e+07 1.1
## 2292 7.750 99 0.1 4.726370e+05 0.9
## 2293 9.360 96 0.1 1.634611e+06 1.0
## 2294 1.530 99 0.1 6.362138e+07 0.6
## 2295 9.170 98 0.1 1.547958e+06 0.8
## 2296 1.340 96 0.1 8.237645e+07 1.1
## 2297 1.350 83 0.1 8.268641e+06 1.7
## 2298 1.390 94 0.1 7.483934e+06 0.6
## 2299 9.360 97 0.1 1.638170e+07 1.0
## 2300 1.210 94 0.1 7.551117e+06 0.5
## 2301 1.400 85 0.1 8.295487e+06 1.7
## 2302 6.800 99 0.1 4.799930e+05 0.9
## 2303 9.250 98 0.1 1.625700e+04 0.8
## 2304 1.180 96 0.1 8.226637e+07 1.1
## 2305 1.450 98 0.1 6.416229e+06 0.6
## 2306 1.570 98 0.1 6.437499e+06 0.6
## 2307 1.290 95 0.1 7.647675e+06 0.5
## 2308 1.390 96 0.1 8.211970e+05 1.1
## 2309 7.340 99 0.1 4.886500e+04 0.9
## 2310 9.570 97 0.1 1.644559e+07 1.0
## 2311 8.110 99 0.1 4.977830e+05 0.9
## 2312 1.290 97 0.1 1.653388e+06 1.0
## 2313 1.390 98 0.1 1.796493e+06 0.9
## 2314 11.400 96 0.1 8.192370e+05 1.1
## 2315 11.000 95 0.1 7.743831e+06 0.5
## 2316 11.280 98 0.1 6.477440e+05 0.6
## 2317 11.170 86 0.1 8.363440e+05 1.7
## 2318 1.480 97 0.1 1.661539e+07 1.0
## 2319 11.200 99 0.1 6.527512e+06 0.6
## 2320 1.930 95 0.1 8.274983e+06 1.1
## 2321 1.530 97 0.1 1.669374e+06 1.0
## 2322 7.340 99 0.1 5.183470e+05 0.9
## 2323 1.940 89 0.1 8.391643e+06 1.7
## 2324 1.420 98 0.1 1.147744e+06 0.9
## 2325 11.330 99 0.1 6.534278e+07 0.6
## 2326 11.100 97 0.1 1.675496e+07 1.0
## 2327 11.170 92 0.1 8.429991e+06 1.8
## 2328 11.590 96 0.1 7.996861e+06 0.5
## 2329 1.990 95 0.1 8.425823e+06 1.1
## 2330 1.540 99 0.1 1.112825e+07 0.9
## 2331 11.440 99 0.1 6.565979e+06 0.6
## 2332 7.180 99 0.1 5.394600e+04 0.9
## 2333 1.570 99 0.1 1.118282e+07 1.0
## 2334 11.160 95 0.1 8.645650e+05 1.1
## 2335 4.300 99 0.1 3.542500e+04 3.3
## 2336 11.140 95 0.1 8.479375e+06 1.8
## 2337 11.400 97 0.1 1.684432e+06 1.0
## 2338 7.100 99 0.1 5.433600e+04 0.9
## 2339 1.590 99 0.1 1.129570e+05 1.0
## 2340 11.300 95 0.1 8.982500e+04 1.1
## 2341 1.900 96 0.1 1.686580e+05 1.0
## 2342 11.540 98 0.1 6.633196e+07 0.6
## 2343 6.940 99 0.1 5.563190e+05 1.0
## 2344 11.210 98 0.1 8.541575e+06 1.8
## 2345 11.660 96 0.1 8.188649e+06 0.4
## 2346 5.755 95 0.1 8.168661e+07 1.1
## 2347 5.755 98 0.1 6.662468e+06 0.7
## 2348 5.755 97 0.1 8.282396e+06 0.4
## 2349 5.755 99 0.1 5.696400e+04 1.0
## 2350 5.755 99 0.1 1.127420e+07 1.0
## thinness.5.9.years Income.composition.of.resources Schooling region
## 1 0.3 0.864 17.2 Oceania
## 2 0.7 0.897 20.4 Oceania
## 3 0.7 0.899 20.5 Oceania
## 4 0.3 0.868 17.4 Oceania
## 5 0.3 0.873 17.5 Oceania
## 6 0.7 0.902 20.1 Oceania
## 7 0.7 0.905 20.6 Oceania
## 8 0.3 0.881 18.2 Oceania
## 9 0.6 0.908 20.7 Oceania
## 10 0.3 0.884 18.4 Oceania
## 11 0.3 0.886 18.9 Oceania
## 12 0.6 0.910 20.3 Oceania
## 13 0.3 0.888 19.1 Oceania
## 14 0.6 0.915 20.3 Oceania
## 15 0.6 0.918 19.0 Oceania
## 16 0.6 0.921 19.1 Oceania
## 17 0.3 0.895 19.3 Oceania
## 18 0.3 0.899 20.3 Oceania
## 19 0.6 0.927 19.8 Oceania
## 20 0.3 0.901 19.7 Oceania
## 21 0.3 0.904 19.5 Oceania
## 22 0.6 0.930 20.1 Oceania
## 23 0.3 0.908 19.3 Oceania
## 24 0.6 0.933 20.3 Oceania
## 25 0.3 0.910 19.2 Oceania
## 26 0.3 0.913 19.2 Oceania
## 27 0.6 0.937 20.4 Oceania
## 28 3.6 0.586 11.4 Asia
## 29 3.6 0.000 0.0 Asia
## 30 2.7 0.676 12.1 Asia
## 31 4.1 0.529 9.6 Asia
## 32 2.7 0.685 12.3 Asia
## 33 4.1 0.535 9.7 Asia
## 34 3.5 0.000 10.2 Asia
## 35 3.3 0.594 10.7 Asia
## 36 3.3 0.600 11.0 Asia
## 37 3.5 0.000 10.2 Asia
## 38 4.0 0.543 9.8 Asia
## 39 3.3 0.607 11.3 Asia
## 40 3.5 0.602 12.2 Asia
## 41 2.6 0.714 13.1 Asia
## 42 3.4 0.000 10.3 Asia
## 43 3.4 0.609 12.5 Asia
## 44 3.9 0.563 10.5 Asia
## 45 3.4 0.000 10.3 Asia
## 46 2.6 0.725 13.5 Asia
## 47 3.9 0.572 10.6 Asia
## 48 3.4 0.613 12.5 Asia
## 49 3.2 0.626 11.8 Asia
## 50 3.9 0.579 10.7 Asia
## 51 2.5 0.747 14.3 Asia
## 52 3.3 0.000 10.4 Asia
## 53 3.3 0.000 10.4 Asia
## 54 3.4 0.618 12.6 Asia
## 55 2.5 0.754 14.7 Asia
## 56 3.1 0.631 11.8 Asia
## 57 3.8 0.586 10.9 Asia
## 58 3.1 0.644 11.9 Asia
## 59 2.5 0.758 14.6 Asia
## 60 3.4 0.624 12.6 Asia
## 61 3.8 0.592 10.8 Asia
## 62 3.3 0.000 10.5 Asia
## 63 2.5 0.758 14.6 Asia
## 64 3.4 0.629 12.4 Asia
## 65 3.3 0.000 10.5 Asia
## 66 3.8 0.601 11.1 Asia
## 67 3.1 0.657 11.9 Asia
## 68 3.3 0.000 10.6 Asia
## 69 3.7 0.608 11.1 Asia
## 70 3.3 0.632 12.1 Asia
## 71 3.1 0.664 12.0 Asia
## 72 3.3 0.665 10.6 Asia
## 73 2.5 0.766 14.4 Asia
## 74 3.3 0.638 12.3 Asia
## 75 3.3 0.672 10.7 Asia
## 76 2.5 0.774 14.7 Asia
## 77 3.7 0.613 11.1 Asia
## 78 3.1 0.673 12.0 Asia
## 79 3.3 0.647 12.5 Asia
## 80 3.3 0.678 10.7 Asia
## 81 3.1 0.681 12.0 Asia
## 82 2.5 0.782 15.0 Asia
## 83 3.1 0.690 12.1 Asia
## 84 3.7 0.622 11.3 Asia
## 85 2.5 0.789 15.0 Asia
## 86 3.3 0.683 10.8 Asia
## 87 3.4 0.656 12.8 Asia
## 88 3.1 0.697 12.1 Asia
## 89 5.1 0.583 9.5 Asia
## 90 1.1 0.677 12.3 Asia
## 91 1.4 0.852 14.5 Asia
## 92 2.6 0.588 9.4 Asia
## 93 5.0 0.592 9.6 Asia
## 94 1.4 0.856 14.6 Asia
## 95 1.1 0.677 12.3 Asia
## 96 1.1 0.677 12.3 Asia
## 97 2.5 0.599 10.1 Asia
## 98 1.4 0.860 14.7 Asia
## 99 2.5 0.609 10.5 Asia
## 100 4.7 0.610 9.9 Asia
## 101 5.8 0.677 12.3 Asia
## 102 1.0 0.677 12.3 Asia
## 103 5.7 0.677 12.3 Asia
## 104 1.4 0.866 14.8 Asia
## 105 2.4 0.621 11.2 Asia
## 106 1.0 0.677 12.3 Asia
## 107 2.4 0.637 11.8 Asia
## 108 1.5 0.870 14.9 Asia
## 109 5.7 0.677 12.3 Asia
## 110 1.5 0.873 14.9 Asia
## 111 2.4 0.649 12.7 Asia
## 112 1.0 0.677 12.3 Asia
## 113 4.3 0.646 11.0 Asia
## 114 5.6 0.677 12.3 Asia
## 115 5.5 0.677 12.3 Asia
## 116 2.4 0.661 13.0 Asia
## 117 1.0 0.677 12.3 Asia
## 118 1.0 0.677 12.3 Asia
## 119 1.5 0.880 15.0 Asia
## 120 4.0 0.672 11.9 Asia
## 121 5.4 0.677 12.3 Asia
## 122 2.3 0.673 13.4 Asia
## 123 1.6 0.881 15.0 Asia
## 124 5.3 0.677 12.3 Asia
## 125 2.3 0.686 13.8 Asia
## 126 1.6 0.879 15.1 Asia
## 127 1.0 0.677 12.3 Asia
## 128 2.3 0.693 14.3 Asia
## 129 5.2 0.677 12.3 Asia
## 130 3.6 0.691 12.5 Asia
## 131 1.0 0.677 12.3 Asia
## 132 1.6 0.884 15.1 Asia
## 133 3.5 0.700 12.8 Asia
## 134 2.3 0.701 14.6 Asia
## 135 1.0 0.677 12.3 Asia
## 136 5.1 0.677 12.3 Asia
## 137 1.7 0.889 15.3 Asia
## 138 3.3 0.703 12.4 Asia
## 139 2.3 0.712 14.7 Asia
## 140 1.7 0.894 15.3 Asia
## 141 1.0 0.677 12.3 Asia
## 142 5.0 0.677 12.3 Asia
## 143 1.7 0.899 15.3 Asia
## 144 1.0 0.677 12.3 Asia
## 145 2.3 0.729 14.8 Asia
## 146 3.0 0.723 13.1 Asia
## 147 4.9 0.677 12.3 Asia
## 148 2.9 0.734 13.5 Asia
## 149 2.3 0.733 14.8 Asia
## 150 1.0 0.677 12.3 Asia
## 151 1.8 0.902 15.3 Asia
## 152 2.3 0.677 12.3 Europe
## 153 2.8 0.777 14.6 Europe
## 154 2.3 0.761 13.9 Europe
## 155 3.0 0.709 12.1 Europe
## 156 3.7 0.677 12.3 Europe
## 157 3.1 0.669 13.3 Europe
## 158 1.7 0.761 13.0 Europe
## 159 2.8 0.675 13.1 Europe
## 160 2.5 0.709 12.9 Europe
## 161 4.3 0.703 11.5 Europe
## 162 3.0 0.720 12.5 Europe
## 163 4.2 0.708 11.7 Europe
## 164 3.6 0.677 12.3 Europe
## 165 2.7 0.681 13.3 Europe
## 166 2.3 0.677 12.3 Europe
## 167 3.0 0.673 13.2 Europe
## 168 2.5 0.713 12.9 Europe
## 169 2.7 0.784 14.7 Europe
## 170 2.2 0.769 14.2 Europe
## 171 1.6 0.763 13.3 Europe
## 172 3.6 0.677 12.3 Europe
## 173 1.6 0.763 13.3 Europe
## 174 2.3 0.677 12.3 Europe
## 175 3.0 0.683 13.9 Europe
## 176 2.7 0.687 13.6 Europe
## 177 2.6 0.790 15.0 Europe
## 178 4.1 0.714 12.0 Europe
## 179 2.6 0.695 13.9 Europe
## 180 2.9 0.691 14.3 Europe
## 181 2.2 0.677 12.3 Europe
## 182 2.1 0.784 14.9 Europe
## 183 1.6 0.771 13.6 Europe
## 184 4.0 0.722 12.5 Europe
## 185 2.4 0.729 12.9 Europe
## 186 2.8 0.733 13.2 Europe
## 187 3.5 0.677 12.3 Europe
## 188 2.6 0.796 15.3 Europe
## 189 2.5 0.703 14.1 Europe
## 190 2.3 0.738 13.3 Europe
## 191 2.8 0.741 13.6 Europe
## 192 2.1 0.793 15.3 Europe
## 193 1.5 0.776 13.8 Europe
## 194 3.4 0.677 12.3 Europe
## 195 3.9 0.733 12.9 Europe
## 196 2.8 0.700 14.6 Europe
## 197 2.5 0.800 15.5 Europe
## 198 2.1 0.677 12.3 Europe
## 199 1.5 0.784 14.0 Europe
## 200 2.3 0.745 13.5 Europe
## 201 2.5 0.797 14.8 Europe
## 202 2.0 0.795 15.0 Europe
## 203 2.8 0.707 14.5 Europe
## 204 2.7 0.748 13.7 Europe
## 205 3.8 0.745 13.4 Europe
## 206 2.0 0.802 15.2 Europe
## 207 2.4 0.723 14.6 Europe
## 208 3.3 0.677 12.3 Europe
## 209 1.5 0.793 14.3 Europe
## 210 2.4 0.803 15.0 Europe
## 211 2.7 0.716 14.7 Europe
## 212 2.1 0.677 12.3 Europe
## 213 2.7 0.754 13.8 Europe
## 214 2.2 0.750 13.5 Europe
## 215 3.2 0.677 12.3 Europe
## 216 2.1 0.677 12.3 Europe
## 217 2.2 0.755 13.5 Europe
## 218 3.6 0.766 14.1 Europe
## 219 2.4 0.808 15.0 Europe
## 220 2.3 0.739 14.9 Europe
## 221 1.4 0.802 14.5 Europe
## 222 2.6 0.761 13.8 Europe
## 223 2.7 0.723 14.8 Europe
## 224 2.1 0.761 13.8 Europe
## 225 2.3 0.755 15.1 Europe
## 226 1.9 0.812 15.3 Europe
## 227 1.4 0.813 14.8 Europe
## 228 3.5 0.780 14.7 Europe
## 229 2.3 0.813 15.0 Europe
## 230 2.5 0.769 13.9 Europe
## 231 1.8 0.816 15.3 Europe
## 232 2.3 0.818 15.1 Europe
## 233 2.1 0.768 13.8 Europe
## 234 2.0 0.677 12.3 Europe
## 235 1.4 0.820 14.9 Europe
## 236 3.1 0.677 12.3 Europe
## 237 2.6 0.734 14.9 Europe
## 238 2.5 0.776 14.0 Europe
## 239 2.5 0.728 14.9 Europe
## 240 2.2 0.780 15.5 Europe
## 241 1.8 0.817 15.3 Europe
## 242 1.3 0.822 15.0 Europe
## 243 3.2 0.797 15.8 Europe
## 244 3.0 0.677 12.3 Europe
## 245 2.0 0.770 13.9 Europe
## 246 2.5 0.773 13.7 Europe
## 247 3.1 0.798 15.7 Europe
## 248 1.3 0.829 15.0 Europe
## 249 2.2 0.829 15.4 Europe
## 250 2.5 0.734 14.9 Europe
## 251 2.1 0.787 15.5 Europe
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## 1888 6.7 0.452 10.1 Africa
## 1889 5.9 0.477 10.7 Africa
## 1890 3.3 0.429 4.9 Africa
## 1891 7.7 0.410 9.0 Africa
## 1892 6.8 0.554 10.9 Africa
## 1893 7.9 0.530 11.1 Africa
## 1894 6.2 0.464 10.2 Africa
## 1895 5.9 0.546 10.6 Africa
## 1896 9.4 0.619 11.5 Africa
## 1897 3.5 0.400 9.2 Africa
## 1898 6.2 0.479 11.0 Africa
## 1899 8.6 0.366 7.1 Africa
## 1900 7.8 0.536 11.1 Africa
## 1901 1.1 0.331 5.1 Africa
## 1902 5.9 0.677 12.3 Africa
## 1903 6.8 0.464 12.0 Africa
## 1904 5.5 0.460 6.3 Africa
## 1905 6.4 0.464 9.8 Africa
## 1906 6.9 0.416 9.6 Africa
## 1907 8.1 0.491 7.8 Africa
## 1908 7.7 0.440 8.8 Africa
## 1909 6.5 0.454 10.7 Africa
## 1910 8.6 0.508 10.3 Africa
## 1911 5.9 0.496 10.4 Africa
## 1912 1.6 0.507 9.7 Africa
## 1913 6.6 0.563 11.2 Africa
## 1914 5.8 0.477 10.0 Africa
## 1915 6.8 0.677 12.3 Africa
## 1916 7.5 0.557 10.2 Africa
## 1917 1.5 0.422 8.4 Africa
## 1918 7.0 0.687 12.5 Africa
## 1919 7.1 0.636 13.2 Africa
## 1920 8.9 0.381 7.3 Africa
## 1921 8.1 0.411 7.7 Africa
## 1922 6.7 0.484 10.8 Africa
## 1923 8.1 0.384 7.2 Africa
## 1924 7.3 0.458 10.0 Africa
## 1925 8.6 0.410 5.0 Africa
## 1926 7.3 0.644 12.8 Africa
## 1927 4.9 0.534 11.3 Africa
## 1928 7.5 0.416 9.1 Africa
## 1929 9.9 0.463 8.3 Africa
## 1930 8.7 0.583 9.2 Africa
## 1931 6.1 0.475 10.5 Africa
## 1932 7.8 0.396 8.5 Africa
## 1933 7.7 0.541 11.1 Africa
## 1934 5.9 0.484 11.1 Africa
## 1935 5.5 0.559 11.0 Africa
## 1936 9.6 0.677 12.3 Africa
## 1937 8.5 0.523 11.4 Africa
## 1938 5.7 0.677 12.3 Africa
## 1939 8.5 0.370 7.1 Africa
## 1940 7.1 0.466 10.3 Africa
## 1941 7.2 0.508 10.3 Africa
## 1942 9.9 0.341 5.3 Africa
## 1943 6.1 0.762 13.5 Africa
## 1944 6.6 0.470 12.0 Africa
## 1945 1.4 0.427 8.4 Africa
## 1946 8.7 0.387 7.3 Africa
## 1947 5.7 0.478 10.0 Africa
## 1948 7.9 0.421 8.0 Africa
## 1949 7.9 0.392 7.5 Africa
## 1950 7.5 0.445 8.9 Africa
## 1951 7.9 0.501 8.2 Africa
## 1952 3.5 0.405 9.1 Africa
## 1953 3.3 0.417 4.9 Africa
## 1954 6.0 0.488 10.4 Africa
## 1955 6.7 0.693 12.6 Africa
## 1956 5.8 0.501 10.4 Africa
## 1957 7.0 0.765 14.7 Africa
## 1958 6.4 0.570 11.5 Africa
## 1959 8.6 0.586 9.2 Africa
## 1960 7.3 0.415 9.1 Africa
## 1961 6.4 0.459 10.7 Africa
## 1962 5.4 0.464 6.3 Africa
## 1963 9.7 0.474 8.7 Africa
## 1964 5.9 0.485 10.8 Africa
## 1965 1.2 0.514 9.8 Africa
## 1966 8.4 0.414 5.0 Africa
## 1967 6.7 0.677 12.3 Africa
## 1968 6.6 0.677 12.3 Africa
## 1969 7.6 0.413 9.3 Africa
## 1970 6.9 0.643 13.6 Africa
## 1971 9.6 0.345 5.3 Africa
## 1972 6.9 0.475 10.7 Africa
## 1973 8.5 0.632 11.7 Africa
## 1974 5.6 0.491 10.8 Africa
## 1975 6.4 0.697 12.6 Africa
## 1976 9.5 0.677 12.3 Africa
## 1977 5.7 0.498 10.3 Africa
## 1978 5.6 0.677 12.3 Africa
## 1979 6.3 0.466 10.7 Africa
## 1980 5.8 0.488 10.8 Africa
## 1981 3.3 0.421 4.9 Africa
## 1982 7.1 0.419 9.2 Africa
## 1983 8.3 0.345 7.1 Africa
## 1984 7.7 0.398 7.7 Africa
## 1985 5.6 0.483 10.0 Africa
## 1986 6.3 0.576 11.7 Africa
## 1987 7.3 0.404 10.6 Africa
## 1988 6.2 0.570 12.5 Africa
## 1989 3.5 0.409 9.1 Africa
## 1990 4.3 0.541 11.4 Africa
## 1991 7.4 0.412 8.6 Africa
## 1992 5.4 0.562 11.1 Africa
## 1993 7.4 0.426 9.5 Africa
## 1994 6.9 0.769 14.7 Africa
## 1995 9.5 0.483 9.1 Africa
## 1996 6.6 0.497 11.1 Africa
## 1997 5.4 0.467 6.3 Africa
## 1998 6.5 0.426 9.9 Africa
## 1999 1.3 0.435 8.4 Africa
## 2000 7.7 0.509 8.5 Africa
## 2001 9.9 0.521 10.0 Africa
## 2002 6.7 0.643 13.5 Africa
## 2003 8.5 0.390 7.3 Africa
## 2004 7.3 0.581 11.1 Africa
## 2005 7.3 0.449 8.9 Africa
## 2006 7.1 0.511 10.3 Africa
## 2007 6.8 0.481 10.7 Africa
## 2008 6.0 0.781 14.1 Africa
## 2009 6.2 0.473 10.8 Africa
## 2010 9.7 0.525 10.0 Africa
## 2011 5.5 0.507 10.3 Africa
## 2012 3.3 0.421 4.9 Africa
## 2013 8.1 0.637 11.7 Africa
## 2014 5.9 0.694 12.6 Africa
## 2015 5.7 0.493 10.8 Africa
## 2016 7.3 0.414 8.8 Africa
## 2017 5.3 0.495 10.7 Africa
## 2018 5.5 0.677 12.3 Africa
## 2019 5.3 0.565 11.2 Africa
## 2020 7.6 0.550 11.1 Africa
## 2021 6.5 0.677 12.3 Africa
## 2022 6.1 0.698 12.6 Africa
## 2023 7.2 0.406 10.6 Africa
## 2024 7.0 0.421 9.2 Africa
## 2025 7.3 0.431 9.5 Africa
## 2026 3.5 0.414 9.1 Africa
## 2027 8.2 0.347 7.1 Africa
## 2028 5.5 0.514 10.4 Africa
## 2029 4.1 0.541 11.4 Africa
## 2030 5.6 0.488 10.0 Africa
## 2031 6.4 0.427 9.9 Africa
## 2032 6.4 0.677 12.3 Africa
## 2033 6.5 0.498 11.1 Africa
## 2034 5.4 0.470 6.3 Africa
## 2035 6.1 0.576 12.5 Africa
## 2036 5.3 0.665 13.0 Africa
## 2037 8.4 0.394 7.3 Africa
## 2038 8.2 0.531 11.4 Africa
## 2039 6.8 0.779 15.2 Africa
## 2040 6.6 0.646 13.5 Africa
## 2041 7.5 0.513 8.5 Africa
## 2042 7.5 0.438 8.4 Africa
## 2043 6.1 0.575 11.4 Africa
## 2044 8.2 0.418 5.0 Africa
## 2045 6.6 0.588 10.0 Asia
## 2046 1.0 0.798 12.5 Asia
## 2047 5.2 0.641 10.7 Asia
## 2048 5.4 0.603 8.6 Asia
## 2049 4.5 0.808 13.0 Asia
## 2050 3.1 0.636 10.1 Asia
## 2051 5.1 0.791 11.8 Asia
## 2052 7.4 0.737 11.8 Asia
## 2053 4.8 0.000 14.9 Asia
## 2054 2.2 0.639 11.2 Asia
## 2055 3.1 0.786 14.1 Asia
## 2056 3.1 0.000 11.4 Asia
## 2057 6.9 0.000 10.4 Asia
## 2058 14.1 0.436 7.7 Asia
## 2059 6.0 0.786 13.2 Asia
## 2060 6.5 0.589 10.1 Asia
## 2061 5.1 0.798 12.0 Asia
## 2062 5.3 0.607 8.7 Asia
## 2063 6.0 0.794 13.3 Asia
## 2064 1.1 0.850 15.1 Asia
## 2065 3.0 0.786 14.0 Asia
## 2066 3.9 0.706 12.7 Asia
## 2067 7.3 0.742 12.0 Asia
## 2068 6.9 0.705 10.7 Asia
## 2069 14.0 0.444 7.9 Asia
## 2070 5.1 0.653 11.1 Asia
## 2071 1.0 0.800 12.4 Asia
## 2072 2.1 0.644 11.1 Asia
## 2073 4.5 0.809 12.6 Asia
## 2074 1.1 0.855 15.3 Asia
## 2075 5.9 0.796 13.5 Asia
## 2076 4.7 0.000 15.2 Asia
## 2077 6.5 0.596 10.2 Asia
## 2078 3.0 0.785 13.9 Asia
## 2079 7.3 0.745 12.1 Asia
## 2080 5.0 0.803 12.1 Asia
## 2081 5.3 0.614 9.1 Asia
## 2082 3.0 0.677 11.8 Asia
## 2083 4.5 0.807 12.2 Asia
## 2084 3.1 0.651 10.6 Asia
## 2085 2.1 0.645 10.8 Asia
## 2086 3.0 0.788 14.1 Asia
## 2087 3.9 0.717 13.2 Asia
## 2088 6.4 0.599 10.3 Asia
## 2089 1.1 0.863 16.0 Asia
## 2090 5.9 0.798 13.7 Asia
## 2091 5.0 0.808 12.3 Asia
## 2092 4.7 0.000 14.8 Asia
## 2093 1.0 0.815 13.0 Asia
## 2094 5.0 0.668 11.9 Asia
## 2095 7.3 0.747 12.2 Asia
## 2096 4.5 0.815 12.8 Asia
## 2097 2.1 0.657 10.8 Asia
## 2098 3.0 0.659 10.8 Asia
## 2099 3.0 0.684 11.8 Asia
## 2100 13.9 0.457 8.2 Asia
## 2101 6.8 0.725 11.2 Asia
## 2102 3.0 0.791 14.4 Asia
## 2103 7.3 0.754 12.3 Asia
## 2104 4.5 0.826 13.5 Asia
## 2105 4.9 0.675 12.0 Asia
## 2106 3.0 0.694 12.0 Asia
## 2107 3.8 0.723 13.5 Asia
## 2108 1.0 0.823 13.4 Asia
## 2109 3.0 0.668 11.0 Asia
## 2110 4.6 0.000 14.2 Asia
## 2111 2.1 0.668 10.9 Asia
## 2112 5.9 0.803 13.9 Asia
## 2113 6.8 0.734 11.5 Asia
## 2114 4.9 0.813 12.4 Asia
## 2115 6.3 0.624 11.0 Asia
## 2116 5.2 0.628 10.1 Asia
## 2117 4.9 0.681 11.9 Asia
## 2118 3.0 0.675 11.2 Asia
## 2119 3.8 0.730 13.8 Asia
## 2120 2.9 0.703 12.2 Asia
## 2121 1.1 0.866 15.8 Asia
## 2122 6.8 0.742 11.5 Asia
## 2123 2.1 0.679 10.9 Asia
## 2124 13.8 0.470 8.6 Asia
## 2125 3.1 0.789 14.2 Asia
## 2126 7.3 0.761 12.4 Asia
## 2127 5.9 0.806 14.0 Asia
## 2128 4.9 0.818 12.6 Asia
## 2129 2.9 0.682 10.7 Asia
## 2130 4.8 0.687 11.9 Asia
## 2131 3.8 0.733 13.7 Asia
## 2132 4.5 0.835 13.7 Asia
## 2133 5.1 0.631 10.2 Asia
## 2134 1.0 0.829 13.4 Asia
## 2135 2.9 0.714 12.6 Asia
## 2136 13.8 0.475 8.7 Asia
## 2137 3.1 0.787 14.1 Asia
## 2138 2.1 0.692 11.2 Asia
## 2139 1.1 0.870 15.7 Asia
## 2140 4.6 0.731 12.9 Asia
## 2141 13.8 0.477 8.6 Asia
## 2142 5.1 0.636 10.2 Asia
## 2143 4.5 0.830 12.6 Asia
## 2144 4.8 0.697 12.3 Asia
## 2145 2.9 0.708 11.6 Asia
## 2146 1.0 0.836 13.5 Asia
## 2147 4.9 0.826 12.9 Asia
## 2148 1.1 0.872 15.7 Asia
## 2149 6.8 0.753 11.5 Asia
## 2150 3.1 0.787 13.9 Asia
## 2151 5.9 0.813 14.4 Asia
## 2152 6.2 0.644 11.5 Asia
## 2153 2.1 0.707 11.7 Asia
## 2154 3.1 0.787 13.8 Asia
## 2155 2.9 0.719 11.6 Asia
## 2156 4.5 0.825 11.7 Asia
## 2157 5.9 0.815 14.4 Asia
## 2158 4.9 0.829 13.1 Asia
## 2159 4.8 0.705 12.5 Asia
## 2160 2.8 0.735 13.1 Asia
## 2161 6.8 0.765 11.9 Asia
## 2162 7.3 0.779 12.8 Asia
## 2163 1.0 0.844 13.7 Asia
## 2164 6.2 0.651 11.6 Asia
## 2165 1.1 0.877 15.8 Asia
## 2166 4.7 0.746 13.2 Asia
## 2167 3.8 0.742 13.6 Asia
## 2168 1.0 0.849 14.1 Asia
## 2169 4.8 0.709 12.5 Asia
## 2170 4.6 0.828 11.8 Asia
## 2171 1.1 0.876 15.6 Asia
## 2172 2.9 0.728 11.6 Asia
## 2173 2.8 0.734 12.8 Asia
## 2174 13.7 0.483 8.4 Asia
## 2175 2.1 0.725 11.9 Asia
## 2176 5.1 0.643 10.3 Asia
## 2177 4.9 0.831 13.2 Asia
## 2178 7.3 0.787 13.0 Asia
## 2179 6.2 0.648 11.8 Asia
## 2180 5.9 0.814 14.4 Asia
## 2181 1.0 0.853 14.6 Asia
## 2182 4.6 0.825 12.0 Asia
## 2183 3.8 0.739 13.2 Asia
## 2184 7.4 0.792 13.3 Asia
## 2185 4.7 0.715 13.0 Asia
## 2186 2.8 0.738 13.3 Asia
## 2187 3.2 0.790 13.5 Asia
## 2188 4.7 0.752 13.3 Asia
## 2189 5.9 0.810 14.4 Asia
## 2190 2.1 0.720 12.3 Asia
## 2191 1.1 0.878 15.7 Asia
## 2192 6.8 0.797 13.5 Asia
## 2193 4.9 0.826 13.3 Asia
## 2194 1.0 0.847 13.8 Asia
## 2195 7.4 0.804 13.9 Asia
## 2196 4.7 0.737 13.8 Asia
## 2197 3.9 0.737 13.1 Asia
## 2198 4.7 0.758 13.2 Asia
## 2199 6.8 0.797 13.6 Asia
## 2200 6.1 0.646 12.0 Asia
## 2201 2.1 0.729 12.7 Asia
## 2202 1.1 0.883 15.8 Asia
## 2203 4.9 0.824 13.3 Asia
## 2204 6.0 0.812 14.4 Asia
## 2205 2.8 0.742 13.3 Asia
## 2206 13.6 0.493 8.6 Asia
## 2207 5.1 0.649 10.4 Asia
## 2208 3.9 0.735 12.9 Asia
## 2209 2.8 0.749 13.4 Asia
## 2210 4.8 0.763 13.3 Asia
## 2211 13.6 0.494 9.0 Asia
## 2212 5.1 0.656 10.5 Asia
## 2213 2.1 0.732 12.7 Asia
## 2214 7.4 0.818 14.5 Asia
## 2215 6.0 0.812 14.5 Asia
## 2216 6.8 0.797 13.7 Asia
## 2217 1.0 0.850 13.8 Asia
## 2218 2.8 0.742 11.8 Asia
## 2219 3.3 0.794 13.2 Asia
## 2220 4.8 0.766 13.3 Asia
## 2221 4.7 0.754 14.4 Asia
## 2222 2.8 0.755 13.5 Asia
## 2223 3.3 0.796 13.1 Asia
## 2224 6.8 0.796 13.7 Asia
## 2225 7.5 0.830 15.2 Asia
## 2226 2.8 0.745 11.9 Asia
## 2227 6.1 0.635 13.0 Asia
## 2228 1.0 0.850 13.8 Asia
## 2229 5.0 0.829 13.3 Asia
## 2230 6.0 0.815 14.5 Asia
## 2231 2.1 0.736 12.7 Asia
## 2232 5.1 0.659 10.3 Asia
## 2233 3.9 0.737 13.1 Asia
## 2234 1.0 0.850 14.0 Asia
## 2235 4.7 0.759 14.5 Asia
## 2236 4.9 0.763 13.3 Asia
## 2237 1.1 0.895 16.0 Asia
## 2238 13.5 0.500 9.0 Asia
## 2239 3.4 0.787 13.0 Asia
## 2240 2.1 0.739 12.7 Asia
## 2241 6.0 0.820 14.5 Asia
## 2242 4.0 0.741 13.1 Asia
## 2243 5.1 0.836 13.3 Asia
## 2244 2.2 0.741 12.7 Asia
## 2245 4.8 0.764 14.5 Asia
## 2246 5.1 0.649 10.1 Asia
## 2247 3.4 0.799 13.3 Asia
## 2248 7.6 0.845 16.1 Asia
## 2249 1.1 0.898 16.0 Asia
## 2250 2.9 0.758 12.7 Asia
## 2251 4.9 0.855 13.4 Asia
## 2252 6.1 0.823 14.5 Asia
## 2253 6.1 0.553 9.0 Asia
## 2254 2.8 0.768 13.9 Asia
## 2255 13.4 0.499 9.0 Asia
## 2256 0.5 0.879 15.1 Europe
## 2257 1.2 0.855 16.2 Europe
## 2258 1.0 0.848 13.5 Europe
## 2259 0.6 0.844 15.7 Europe
## 2260 0.8 0.869 18.0 Europe
## 2261 1.9 0.833 15.4 Europe
## 2262 1.1 0.860 16.2 Europe
## 2263 1.9 0.837 15.5 Europe
## 2264 1.1 0.878 16.7 Europe
## 2265 1.0 0.854 13.4 Europe
## 2266 0.5 0.888 15.2 Europe
## 2267 0.8 0.873 18.2 Europe
## 2268 0.6 0.849 15.6 Europe
## 2269 0.9 0.860 13.5 Europe
## 2270 1.9 0.847 16.1 Europe
## 2271 0.5 0.890 15.2 Europe
## 2272 0.6 0.851 15.5 Europe
## 2273 1.1 0.867 16.3 Europe
## 2274 1.0 0.882 16.9 Europe
## 2275 0.8 0.878 18.6 Europe
## 2276 1.0 0.881 16.5 Europe
## 2277 0.6 0.852 15.4 Europe
## 2278 1.9 0.837 14.7 Europe
## 2279 0.8 0.880 18.8 Europe
## 2280 0.6 0.857 15.5 Europe
## 2281 0.9 0.867 13.5 Europe
## 2282 1.0 0.885 16.5 Europe
## 2283 1.1 0.877 16.4 Europe
## 2284 0.4 0.895 15.1 Europe
## 2285 0.6 0.860 15.5 Europe
## 2286 0.8 0.861 15.7 Europe
## 2287 0.9 0.874 13.5 Europe
## 2288 1.9 0.848 14.9 Europe
## 2289 0.4 0.899 15.2 Europe
## 2290 1.0 0.888 16.4 Europe
## 2291 1.1 0.884 16.4 Europe
## 2292 0.9 0.880 13.5 Europe
## 2293 1.0 0.893 16.5 Europe
## 2294 0.6 0.870 16.1 Europe
## 2295 0.8 0.865 15.7 Europe
## 2296 1.1 0.892 16.5 Europe
## 2297 1.9 0.854 15.0 Europe
## 2298 0.4 0.904 15.2 Europe
## 2299 1.0 0.899 16.6 Europe
## 2300 0.4 0.911 15.3 Europe
## 2301 1.9 0.860 15.2 Europe
## 2302 0.9 0.877 13.5 Europe
## 2303 0.8 0.871 15.8 Europe
## 2304 1.1 0.898 16.6 Europe
## 2305 0.6 0.873 16.1 Europe
## 2306 0.6 0.877 16.1 Europe
## 2307 0.4 0.914 15.3 Europe
## 2308 1.1 0.903 16.6 Europe
## 2309 0.9 0.887 13.5 Europe
## 2310 0.9 0.905 16.8 Europe
## 2311 0.9 0.888 13.5 Europe
## 2312 0.9 0.906 16.9 Europe
## 2313 0.9 0.876 15.8 Europe
## 2314 1.1 0.906 16.7 Europe
## 2315 0.4 0.916 15.3 Europe
## 2316 0.6 0.879 16.0 Europe
## 2317 1.9 0.872 15.4 Europe
## 2318 0.9 0.906 17.0 Europe
## 2319 0.6 0.879 16.0 Europe
## 2320 1.1 0.912 16.8 Europe
## 2321 0.9 0.911 17.2 Europe
## 2322 0.9 0.894 13.9 Europe
## 2323 2.0 0.880 15.7 Europe
## 2324 0.9 0.884 16.1 Europe
## 2325 0.6 0.882 16.1 Europe
## 2326 0.9 0.921 18.1 Europe
## 2327 2.0 0.884 15.7 Europe
## 2328 0.3 0.932 15.7 Europe
## 2329 1.1 0.916 16.9 Europe
## 2330 0.9 0.886 16.2 Europe
## 2331 0.6 0.885 16.1 Europe
## 2332 0.9 0.892 13.9 Europe
## 2333 0.9 0.889 16.3 Europe
## 2334 1.1 0.919 16.9 Europe
## 2335 3.3 0.677 12.3 Europe
## 2336 2.0 0.887 15.7 Europe
## 2337 0.9 0.922 18.1 Europe
## 2338 0.9 0.892 13.9 Europe
## 2339 1.0 0.890 16.3 Europe
## 2340 1.1 0.920 17.0 Europe
## 2341 0.9 0.923 18.1 Europe
## 2342 0.6 0.890 16.2 Europe
## 2343 0.9 0.892 13.9 Europe
## 2344 2.0 0.892 15.9 Europe
## 2345 0.3 0.936 15.9 Europe
## 2346 1.1 0.924 17.1 Europe
## 2347 0.6 0.894 16.3 Europe
## 2348 0.3 0.938 16.0 Europe
## 2349 0.9 0.896 13.9 Europe
## 2350 1.0 0.895 16.6 Europe
## GDP Life_Expectancy Hepatitis.B.y Population.y linfant.deaths
## 1 52623 78.600 9.0 1938426.5 0.0000000
## 2 416168 79.500 9.0 1938426.5 0.0000000
## 3 379629 79.900 51.5 1949956.5 0.0000000
## 4 53872 78.500 51.5 1949956.5 0.0000000
## 5 66628 79.110 92.0 2072507.0 0.0000000
## 6 395789 80.370 92.0 2072507.0 0.0000000
## 7 467739 83.000 92.0 2113077.0 0.0000000
## 8 88251 79.100 92.0 2113077.0 0.0000000
## 9 614660 86.000 91.5 2054387.0 0.0000000
## 10 103905 79.200 91.5 2054387.0 0.0000000
## 11 114720 79.900 91.0 2078924.0 0.0000000
## 12 695693 81.000 91.0 2078924.0 0.0000000
## 13 111539 79.900 91.0 2105789.5 0.0000000
## 14 748418 81.200 91.0 2105789.5 0.0000000
## 15 855007 81.235 91.0 2126038.0 0.0000000
## 16 1056112 81.300 51.5 2236146.0 0.0000000
## 17 121374 85.000 93.5 2259758.5 0.0000000
## 18 146518 89.000 50.5 2286937.5 0.0000000
## 19 1398701 82.000 93.5 2303712.0 0.0000000
## 20 168291 86.000 93.5 2303712.0 0.0000000
## 21 176207 81.100 92.0 13568177.0 0.0000000
## 22 1547650 82.300 92.0 13568177.0 0.0000000
## 23 190907 81.300 92.0 13779726.5 0.0000000
## 24 1577302 82.500 92.0 13779726.5 0.0000000
## 25 201313 81.500 92.0 3431597.0 0.0000000
## 26 178064 81.600 92.5 14199369.0 0.0000000
## 27 1351769 82.800 92.5 14199369.0 0.0000000
## 28 1370 66.600 71.5 2568878.0 1.3862944
## 29 2905 63.800 71.5 2568878.0 1.9459101
## 30 18292 63.900 71.5 2568878.0 2.1972246
## 31 861 63.700 71.5 2568878.0 2.6390573
## 32 22153 64.400 76.0 4411785.0 2.0794415
## 33 1081 64.000 76.0 4411785.0 2.5649494
## 34 3535 64.000 76.0 4411785.0 1.9459101
## 35 11401 67.400 76.0 4411785.0 3.3322045
## 36 9688 67.100 95.0 4487436.5 3.2958369
## 37 4462 63.300 95.0 4487436.5 1.9459101
## 38 1221 64.300 95.0 4487436.5 2.4849066
## 39 10134 67.200 99.0 3606253.0 3.2188758
## 40 1919 66.600 99.0 3606253.0 1.3862944
## 41 30834 64.400 99.0 3606253.0 2.0794415
## 42 5977 63.400 99.0 3606253.0 1.9459101
## 43 2212 67.100 99.0 2049710.0 1.3862944
## 44 2076 65.900 99.0 2049710.0 2.3978953
## 45 6838 63.500 99.0 2049710.0 1.7917595
## 46 43152 64.700 99.0 2049710.0 2.0794415
## 47 2312 65.500 97.0 3134685.0 2.3025851
## 48 2834 66.700 98.0 100999.5 1.3862944
## 49 17331 67.600 98.0 100999.5 3.1354942
## 50 2830 65.900 98.0 100999.5 2.3025851
## 51 81004 65.000 98.0 100999.5 2.0794415
## 52 10277 63.700 98.0 100999.5 1.7917595
## 53 12664 64.100 94.0 3819761.0 1.7917595
## 54 3803 67.200 94.0 3819761.0 1.3862944
## 55 104850 65.300 94.0 3819761.0 2.0794415
## 56 22311 67.800 94.0 3819761.0 3.0910425
## 57 3720 66.100 94.0 3819761.0 2.3025851
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## 1652 3178 46.000 82.5 1252156.0 1.0986123
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## 1710 8150 72.801 81.5 1384969.0 0.0000000
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## 1725 1077 72.200 81.5 1384969.0 0.0000000
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## 1730 848 54.791 81.5 1384969.0 0.0000000
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## 1737 796 65.152 81.5 1384969.0 0.6931472
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## 1741 1280 59.448 81.5 1384969.0 1.0986123
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## 1780 851 72.300 80.0 1381599.0 0.0000000
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## 1786 6717 57.300 80.0 1381599.0 3.3672958
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## 1788 1852 72.400 80.0 1381599.0 0.0000000
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## 1790 1781 56.200 80.0 1381599.0 3.1354942
## 1791 12264 53.800 80.0 1381599.0 4.2484952
## 1792 32437 68.000 80.0 1381599.0 5.1298987
## 1793 16146 63.500 80.0 1381599.0 3.0445224
## 1794 329754 56.500 80.0 1381599.0 3.8286414
## 1795 9291 57.000 80.0 1381599.0 3.8286414
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## 1797 5675 61.000 80.0 1381599.0 2.8332133
## 1798 33887 51.000 80.0 1381599.0 4.0943446
## 1799 1049 69.000 80.0 1381599.0 0.0000000
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## 1801 1450 59.000 80.0 1381599.0 1.0986123
## 1802 905 61.300 80.0 1381599.0 0.6931472
## 1803 20982 52.200 80.0 1381599.0 3.9512437
## 1804 4715 61.700 80.0 1381599.0 2.0794415
## 1805 25128 57.500 80.0 1381599.0 4.4067192
## 1806 26049 66.000 80.0 1381599.0 3.7135721
## 1807 70307 49.100 80.0 1381599.0 4.3944492
## 1808 295009 51.600 80.0 1381599.0 6.2672005
## 1809 18648 56.700 80.0 1381599.0 5.4722707
## 1810 9010 51.500 80.0 1381599.0 3.5835189
## 1811 42347 59.100 80.0 1381599.0 4.1271344
## 1812 9129 72.800 80.0 1381599.0 0.0000000
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## 1814 9723 68.000 80.0 1381599.0 1.9459101
## 1815 15328 57.400 80.0 1381599.0 3.4011974
## 1816 1768 59.200 80.0 1381599.0 2.3025851
## 1817 2419 47.100 80.0 1381599.0 3.3322045
## 1818 9739 58.400 80.0 1381599.0 3.2188758
## 1819 201 65.800 80.0 1381599.0 0.0000000
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## 1821 2235 51.100 83.0 876693.0 1.3862944
## 1822 27508 55.300 83.0 876693.0 3.9702919
## 1823 7851 58.200 83.0 876693.0 3.9120230
## 1824 1543 59.300 83.0 876693.0 1.0986123
## 1825 11412 54.000 83.0 876693.0 4.2341065
## 1826 982 72.400 83.0 876693.0 0.0000000
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## 1828 20982 52.400 83.0 876693.0 3.9512437
## 1829 1129 61.300 83.0 876693.0 0.0000000
## 1830 9983 63.300 83.0 876693.0 3.4657359
## 1831 417364 58.000 83.0 876693.0 3.7612001
## 1832 9535 58.700 83.0 876693.0 3.2188758
## 1833 11431 63.000 83.0 876693.0 1.0986123
## 1834 12637 61.100 83.0 876693.0 0.6931472
## 1835 2143 49.200 83.0 876693.0 2.8332133
## 1836 10128 52.900 83.0 876693.0 3.5553481
## 1837 20266 58.000 83.0 876693.0 3.4011974
## 1838 26673 58.400 83.0 876693.0 4.3694479
## 1839 1590 62.100 83.0 876693.0 1.7917595
## 1840 83799 49.600 83.0 876693.0 4.3567088
## 1841 16121 64.300 83.0 876693.0 3.0445224
## 1842 366990 52.000 83.0 876693.0 6.2557500
## 1843 32198 69.000 83.0 876693.0 3.6888795
## 1844 10004 73.300 83.0 876693.0 0.0000000
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## 1846 4746 57.400 83.0 876693.0 2.6390573
## 1847 13148 62.000 83.0 876693.0 1.9459101
## 1848 10668 51.200 83.0 876693.0 3.8286414
## 1849 12042 52.400 83.0 876693.0 3.3672958
## 1850 16314 56.100 83.0 876693.0 1.0986123
## 1851 5629 62.000 83.0 876693.0 2.0794415
## 1852 10110 57.500 83.0 876693.0 3.7612001
## 1853 190 66.200 83.0 876693.0 0.0000000
## 1854 21566 57.400 83.0 876693.0 5.4764636
## 1855 34936 51.500 83.0 876693.0 4.0943446
## 1856 850 56.700 83.0 876693.0 1.3862944
## 1857 2578 48.100 83.0 876693.0 3.2958369
## 1858 6125 62.800 83.0 876693.0 2.7725887
## 1859 1998 59.700 83.0 876693.0 2.1972246
## 1860 5422 58.300 82.0 1225258.0 2.6390573
## 1861 12523 64.300 82.0 1225258.0 1.0986123
## 1862 11552 63.800 82.0 1225258.0 3.4339872
## 1863 18210 62.800 82.0 1225258.0 0.6931472
## 1864 2579 52.300 82.0 1225258.0 1.3862944
## 1865 1059 72.600 82.0 1225258.0 0.0000000
## 1866 2438 49.800 82.0 1225258.0 2.7725887
## 1867 15111 62.200 82.0 1225258.0 0.6931472
## 1868 14619 54.300 82.0 1225258.0 4.1896547
## 1869 36694 51.700 82.0 1225258.0 4.0943446
## 1870 2236 57.400 82.0 1225258.0 3.0910425
## 1871 30631 55.600 82.0 1225258.0 3.9318256
## 1872 11648 54.100 82.0 1225258.0 3.4657359
## 1873 10693 59.100 82.0 1225258.0 3.2188758
## 1874 31953 62.600 82.0 1225258.0 5.0498560
## 1875 414467 52.300 82.0 1225258.0 6.2402758
## 1876 25840 57.900 82.0 1225258.0 5.4764636
## 1877 12080 58.100 82.0 1225258.0 3.7376696
## 1878 1410 59.800 82.0 1225258.0 1.0986123
## 1879 4820 55.000 82.0 1225258.0 0.6931472
## 1880 2065 62.900 82.0 1225258.0 1.7917595
## 1881 111790 51.000 82.0 1225258.0 4.3174881
## 1882 6785 58.100 82.0 1225258.0 3.3322045
## 1883 12172 51.600 82.0 1225258.0 3.8286414
## 1884 6765 62.200 82.0 1225258.0 2.0794415
## 1885 458199 58.900 82.0 1225258.0 3.7612001
## 1886 15655 62.900 82.0 1225258.0 1.9459101
## 1887 2932 48.900 82.0 1225258.0 3.2580965
## 1888 14102 54.900 82.0 1225258.0 3.3322045
## 1889 27872 59.300 82.0 1225258.0 4.3307333
## 1890 14907 55.400 82.0 1225258.0 3.2958369
## 1891 1100 57.100 82.0 1225258.0 1.3862944
## 1892 39337 61.200 82.0 1225258.0 3.6888795
## 1893 46869 61.200 82.0 1225258.0 4.0943446
## 1894 6885 63.800 82.0 1225258.0 2.6390573
## 1895 226 66.600 82.0 1225258.0 0.0000000
## 1896 13042 65.800 84.0 1638139.0 1.0986123
## 1897 16688 54.800 84.0 1638139.0 4.1588831
## 1898 2478 52.200 84.0 1638139.0 1.3862944
## 1899 2510 53.000 84.0 1638139.0 2.7725887
## 1900 56397 62.100 84.0 1638139.0 4.0775374
## 1901 9427 63.000 84.0 1638139.0 3.8918203
## 1902 36302 52.000 84.0 1638139.0 4.0775374
## 1903 5414 58.900 84.0 1638139.0 2.6390573
## 1904 1354 62.200 84.0 1638139.0 0.0000000
## 1905 17115 56.600 84.0 1638139.0 3.2580965
## 1906 2792 67.000 84.0 1638139.0 2.1972246
## 1907 6728 62.500 84.0 1638139.0 2.0794415
## 1908 1415 62.000 84.0 1638139.0 1.0986123
## 1909 8773 55.300 84.0 1638139.0 3.4339872
## 1910 128053 56.000 84.0 1638139.0 4.2766661
## 1911 30155 55.900 84.0 1638139.0 3.9120230
## 1912 463971 52.700 84.0 1638139.0 6.2245584
## 1913 41272 61.600 84.0 1638139.0 3.6635616
## 1914 27306 60.000 84.0 1638139.0 4.2904594
## 1915 39650 58.600 84.0 1638139.0 4.4659081
## 1916 17693 63.700 84.0 1638139.0 1.9459101
## 1917 43311 63.300 84.0 1638139.0 5.0106353
## 1918 13907 63.400 84.0 1638139.0 0.6931472
## 1919 1913 72.700 84.0 1638139.0 0.0000000
## 1920 12367 51.800 84.0 1638139.0 3.8286414
## 1921 12442 57.200 84.0 1638139.0 3.9702919
## 1922 1016 62.500 84.0 1638139.0 0.6931472
## 1923 12561 58.600 84.0 1638139.0 3.7135721
## 1924 11141 59.300 84.0 1638139.0 3.2188758
## 1925 20982 63.600 84.0 1638139.0 1.7917595
## 1926 434401 59.200 84.0 1638139.0 3.7612001
## 1927 4887 56.500 84.0 1638139.0 0.6931472
## 1928 989 57.600 84.0 1638139.0 1.3862944
## 1929 17661 65.600 84.0 1638139.0 2.9957323
## 1930 22388 56.700 84.0 1638139.0 1.0986123
## 1931 7655 64.600 84.0 1638139.0 2.5649494
## 1932 7638 58.400 84.0 1638139.0 3.3322045
## 1933 61671 62.600 84.5 1772723.0 4.0604430
## 1934 2367 52.100 84.5 1772723.0 1.3862944
## 1935 267 67.100 84.5 1772723.0 0.0000000
## 1936 32680 58.800 84.5 1772723.0 5.4722707
## 1937 132339 51.100 84.5 1772723.0 4.2341065
## 1938 42760 52.300 84.5 1772723.0 4.0775374
## 1939 1692 49.900 84.5 1772723.0 2.7725887
## 1940 12518 59.500 84.5 1772723.0 3.2188758
## 1941 12424 64.700 84.5 1772723.0 3.3672958
## 1942 10225 69.000 84.5 1772723.0 3.8918203
## 1943 1325 72.900 84.5 1772723.0 0.0000000
## 1944 6022 59.400 84.5 1772723.0 2.6390573
## 1945 47648 63.700 84.5 1772723.0 4.9767337
## 1946 12954 52.200 84.5 1772723.0 3.8286414
## 1947 28916 67.000 84.5 1772723.0 4.2626799
## 1948 13243 57.300 84.5 1772723.0 3.9702919
## 1949 13444 59.000 84.5 1772723.0 3.6888795
## 1950 1376 66.000 84.5 1772723.0 1.0986123
## 1951 7223 62.700 84.5 1772723.0 2.0794415
## 1952 17198 55.300 84.5 1772723.0 4.1271344
## 1953 18426 56.400 84.5 1772723.0 3.2580965
## 1954 19091 58.000 84.5 1772723.0 3.2188758
## 1955 14272 64.200 84.5 1772723.0 0.6931472
## 1956 33729 56.400 84.5 1772723.0 3.8712010
## 1957 12293 74.100 84.5 1772723.0 0.0000000
## 1958 62825 61.900 84.5 1772723.0 3.6375862
## 1959 21949 57.400 84.5 1772723.0 1.0986123
## 1960 1046 58.100 84.5 1772723.0 1.3862944
## 1961 8032 56.700 84.5 1772723.0 3.3672958
## 1962 2043 62.700 84.5 1772723.0 0.0000000
## 1963 18919 66.000 84.5 1772723.0 2.9957323
## 1964 7821 65.200 84.5 1772723.0 2.4849066
## 1965 520117 53.200 84.5 1772723.0 6.2106001
## 1966 20982 64.000 84.5 1772723.0 1.7917595
## 1967 45649 59.700 84.5 1772723.0 4.4543473
## 1968 5836 54.200 84.5 1772723.0 3.9318256
## 1969 4920 54.000 84.5 1772723.0 3.1354942
## 1970 2029 72.800 84.5 1772723.0 0.0000000
## 1971 10863 61.400 86.0 1875713.0 3.8918203
## 1972 13285 59.700 86.0 1875713.0 3.2188758
## 1973 12435 65.900 86.0 1875713.0 0.6931472
## 1974 2441 52.100 86.0 1875713.0 1.3862944
## 1975 15470 65.100 86.0 1875713.0 0.6931472
## 1976 35909 59.300 86.0 1875713.0 5.4680601
## 1977 19496 59.200 86.0 1875713.0 3.1354942
## 1978 48843 52.800 86.0 1875713.0 4.0604430
## 1979 8801 57.600 86.0 1875713.0 3.2958369
## 1980 8240 65.700 86.0 1875713.0 2.4849066
## 1981 13962 56.600 86.0 1875713.0 3.2580965
## 1982 1055 58.400 86.0 1875713.0 1.3862944
## 1983 1895 58.000 86.0 1875713.0 2.7080502
## 1984 13943 59.300 86.0 1875713.0 3.6635616
## 1985 32612 61.500 86.0 1875713.0 4.2195077
## 1986 54783 62.100 86.0 1875713.0 3.6109179
## 1987 2706 59.100 86.0 1875713.0 3.0910425
## 1988 27141 61.100 86.0 1875713.0 3.3322045
## 1989 17978 56.700 86.0 1875713.0 4.1108739
## 1990 4423 58.400 86.0 1875713.0 0.6931472
## 1991 8778 58.100 86.0 1875713.0 3.2958369
## 1992 293 67.300 86.0 1875713.0 0.0000000
## 1993 5015 48.100 86.0 1875713.0 3.1354942
## 1994 13074 74.200 86.0 1875713.0 0.0000000
## 1995 19797 66.400 86.0 1875713.0 2.9444390
## 1996 1150 63.200 86.0 1875713.0 0.0000000
## 1997 2215 63.000 86.0 1875713.0 0.0000000
## 1998 3226 58.100 86.0 1875713.0 2.0794415
## 1999 55612 64.200 86.0 1875713.0 4.9416424
## 2000 6593 63.000 86.0 1875713.0 2.0794415
## 2001 574184 53.600 86.0 1875713.0 6.1944054
## 2002 2042 73.000 86.0 1875713.0 0.0000000
## 2003 13941 52.600 86.0 1875713.0 3.8286414
## 2004 17919 64.200 86.0 1875713.0 1.9459101
## 2005 1229 68.000 86.0 1875713.0 1.0986123
## 2006 11323 65.500 83.5 1746795.0 3.3322045
## 2007 11388 60.000 83.5 1746795.0 3.2188758
## 2008 1391 73.200 83.5 1746795.0 0.0000000
## 2009 9219 58.300 83.5 1746795.0 3.2580965
## 2010 493027 54.500 83.5 1746795.0 6.1800167
## 2011 19963 67.000 83.5 1746795.0 3.0910425
## 2012 11998 57.300 83.5 1746795.0 3.2580965
## 2013 11335 65.800 83.5 1746795.0 0.6931472
## 2014 14383 66.000 83.5 1746795.0 0.6931472
## 2015 8545 66.100 83.5 1746795.0 2.3978953
## 2016 8794 59.000 83.5 1746795.0 3.2580965
## 2017 2360 53.700 83.5 1746795.0 1.3862944
## 2018 45815 53.300 83.5 1746795.0 4.0430513
## 2019 260 67.500 83.5 1746795.0 0.0000000
## 2020 70120 63.400 83.5 1746795.0 3.9889840
## 2021 47414 61.800 83.5 1746795.0 4.4426513
## 2022 13531 65.700 83.5 1746795.0 0.6931472
## 2023 3104 59.600 83.5 1746795.0 3.0445224
## 2024 1048 58.900 83.5 1746795.0 1.3862944
## 2025 4252 51.000 83.5 1746795.0 3.0910425
## 2026 16209 57.600 83.5 1746795.0 4.0943446
## 2027 1696 52.500 83.5 1746795.0 2.7080502
## 2028 32210 57.300 83.5 1746795.0 3.8066625
## 2029 4063 58.900 83.5 1746795.0 0.6931472
## 2030 32387 62.300 83.5 1746795.0 4.1896547
## 2031 3227 61.400 83.5 1746795.0 2.0794415
## 2032 6985 55.000 83.5 1746795.0 3.9120230
## 2033 966 63.500 83.5 1746795.0 0.0000000
## 2034 2424 63.500 83.5 1746795.0 0.0000000
## 2035 21251 61.800 83.5 1746795.0 3.2958369
## 2036 346710 62.900 83.5 1746795.0 3.7376696
## 2037 10950 53.100 83.5 1746795.0 3.8286414
## 2038 90496 52.400 83.5 1746795.0 4.1896547
## 2039 12007 74.600 83.5 1746795.0 0.0000000
## 2040 1750 73.300 83.5 1746795.0 0.0000000
## 2041 6167 63.100 83.5 1746795.0 2.0794415
## 2042 13105 58.200 83.5 1746795.0 3.9512437
## 2043 49406 62.400 83.5 1746795.0 3.6109179
## 2044 20982 64.700 83.5 1746795.0 1.6094379
## 2045 80590 72.600 89.0 1292567.0 2.3025851
## 2046 9986 78.100 89.0 1292567.0 0.0000000
## 2047 274295 74.000 89.0 1292567.0 3.7841896
## 2048 48364 70.000 89.0 1292567.0 3.4011974
## 2049 17760 76.200 89.0 1292567.0 0.0000000
## 2050 5273 66.600 89.0 1292567.0 2.1972246
## 2051 104337 74.200 89.0 1292567.0 0.0000000
## 2052 189515 72.600 89.0 1292567.0 2.3025851
## 2053 17260 72.700 89.0 1292567.0 0.0000000
## 2054 1912 72.000 89.0 1292567.0 0.0000000
## 2055 37719 73.200 89.0 1292567.0 0.0000000
## 2056 3057 71.800 89.0 1292567.0 0.6931472
## 2057 19507 72.600 89.0 1292567.0 0.0000000
## 2058 9679 68.000 89.0 1292567.0 3.8712010
## 2059 9063 74.500 89.0 1292567.0 0.0000000
## 2060 86771 72.700 90.5 2183163.5 2.3025851
## 2061 103312 74.500 90.5 2183163.5 0.0000000
## 2062 36176 72.000 90.5 2183163.5 3.4011974
## 2063 8976 74.700 90.5 2183163.5 0.0000000
## 2064 134636 79.300 90.5 2183163.5 0.0000000
## 2065 34890 73.200 90.5 2183163.5 0.0000000
## 2066 8976 71.900 90.5 2183163.5 1.3862944
## 2067 184138 72.800 90.5 2183163.5 2.3025851
## 2068 19452 72.900 90.5 2183163.5 0.0000000
## 2069 9853 61.100 90.5 2183163.5 3.8286414
## 2070 201753 78.000 90.5 2183163.5 3.7135721
## 2071 10398 78.200 90.5 2183163.5 0.0000000
## 2072 2118 72.600 90.5 2183163.5 0.0000000
## 2073 17538 76.300 90.5 2183163.5 0.0000000
## 2074 125061 79.696 91.0 1512165.0 0.0000000
## 2075 9594 74.795 91.0 1512165.0 0.0000000
## 2076 19152 71.028 91.0 1512165.0 0.0000000
## 2077 90558 72.800 91.0 1512165.0 2.1972246
## 2078 38136 76.904 91.0 1512165.0 0.0000000
## 2079 189606 71.626 91.0 1512165.0 2.3025851
## 2080 109816 74.700 91.0 1512165.0 0.0000000
## 2081 32928 57.046 91.0 1512165.0 3.4011974
## 2082 3396 71.700 91.0 1512165.0 0.6931472
## 2083 19364 76.400 91.0 1512165.0 0.0000000
## 2084 6236 67.800 91.0 1512165.0 1.9459101
## 2085 2376 72.600 91.0 1512165.0 0.0000000
## 2086 47875 73.400 92.0 885909.5 0.0000000
## 2087 10196 72.300 92.0 885909.5 1.3862944
## 2088 95694 73.000 92.0 885909.5 2.1972246
## 2089 131300 79.700 92.0 885909.5 0.0000000
## 2090 11075 75.000 92.0 885909.5 0.0000000
## 2091 124346 74.900 92.0 885909.5 0.0000000
## 2092 20083 73.500 92.0 885909.5 0.0000000
## 2093 14547 78.500 92.0 885909.5 0.0000000
## 2094 314596 71.600 92.0 885909.5 3.5553481
## 2095 215808 73.000 92.0 885909.5 2.1972246
## 2096 23534 76.500 92.0 885909.5 0.0000000
## 2097 2807 72.700 92.0 885909.5 0.0000000
## 2098 7276 67.800 92.0 885909.5 1.9459101
## 2099 3991 72.700 92.0 885909.5 0.0000000
## 2100 11778 61.900 92.0 885909.5 3.7612001
## 2101 21634 73.600 92.0 885909.5 0.0000000
## 2102 59439 73.500 91.0 1310044.5 0.0000000
## 2103 258742 73.100 91.0 1310044.5 2.1972246
## 2104 31734 76.600 91.0 1310044.5 0.0000000
## 2105 408865 72.000 91.0 1310044.5 3.4965076
## 2106 5125 72.300 91.0 1310044.5 0.0000000
## 2107 11412 72.500 91.0 1310044.5 1.3862944
## 2108 17321 78.600 91.0 1310044.5 0.0000000
## 2109 8680 68.400 91.0 1310044.5 1.7917595
## 2110 21160 73.700 91.0 1310044.5 0.0000000
## 2111 3577 73.000 91.0 1310044.5 0.0000000
## 2112 13150 75.200 91.0 1310044.5 0.0000000
## 2113 24764 74.000 91.0 1310044.5 0.0000000
## 2114 147824 75.100 91.0 1310044.5 0.0000000
## 2115 134204 73.500 91.0 1568662.0 2.1972246
## 2116 49955 66.800 91.0 1568662.0 3.4339872
## 2117 506315 72.400 91.0 1568662.0 3.4011974
## 2118 13245 68.400 91.0 1568662.0 1.7917595
## 2119 12589 72.400 91.0 1568662.0 1.3862944
## 2120 6411 73.900 91.0 1568662.0 0.0000000
## 2121 147084 80.000 91.0 1568662.0 0.0000000
## 2122 31082 74.300 91.0 1568662.0 0.0000000
## 2123 4900 73.000 91.0 1568662.0 0.0000000
## 2124 16732 62.600 91.0 1568662.0 3.6888795
## 2125 80799 73.600 91.0 1568662.0 0.0000000
## 2126 328460 73.100 91.0 1568662.0 2.1972246
## 2127 15969 75.300 91.0 1568662.0 0.0000000
## 2128 180617 75.300 91.0 1568662.0 0.0000000
## 2129 20982 69.200 92.0 1689234.5 1.7917595
## 2130 557076 72.800 92.0 1689234.5 3.3322045
## 2131 15057 72.800 92.0 1689234.5 1.3862944
## 2132 60882 76.600 92.0 1689234.5 0.0000000
## 2133 65140 64.700 92.0 1689234.5 3.4339872
## 2134 20073 78.800 92.0 1689234.5 0.0000000
## 2135 7745 73.900 92.0 1689234.5 0.0000000
## 2136 19063 63.000 92.0 1689234.5 3.6635616
## 2137 101557 73.600 92.0 1689234.5 0.0000000
## 2138 6384 72.900 92.0 1689234.5 0.0000000
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## 2141 21651 63.400 94.0 1597589.5 3.6375862
## 2142 88837 59.545 94.0 1597589.5 3.4339872
## 2143 79712 76.700 94.0 1597589.5 0.0000000
## 2144 681321 71.777 94.0 1597589.5 3.2580965
## 2145 33049 73.000 94.0 1597589.5 1.7917595
## 2146 23969 78.900 94.0 1597589.5 0.0000000
## 2147 257916 75.600 94.0 1597589.5 0.0000000
## 2148 184052 80.745 94.0 1597589.5 0.0000000
## 2149 42085 75.640 94.0 1597589.5 0.0000000
## 2150 114634 77.588 94.0 1597589.5 0.0000000
## 2151 21730 75.635 94.0 1597589.5 0.0000000
## 2152 180030 73.800 94.0 1597589.5 2.0794415
## 2153 9206 73.500 94.0 1597589.5 0.0000000
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## 2155 48851 73.000 92.0 1277310.0 1.7917595
## 2156 115270 76.800 92.0 1277310.0 0.0000000
## 2157 25711 75.800 92.0 1277310.0 0.0000000
## 2158 315475 75.800 92.0 1277310.0 0.0000000
## 2159 770449 73.500 92.0 1277310.0 3.2188758
## 2160 12795 73.900 92.0 1277310.0 0.0000000
## 2161 60905 75.200 92.0 1277310.0 0.0000000
## 2162 519797 73.300 92.0 1277310.0 2.1972246
## 2163 27845 79.100 92.0 1277310.0 0.0000000
## 2164 218090 73.800 92.0 1277310.0 2.0794415
## 2165 220531 81.000 92.0 1277310.0 0.0000000
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## 2167 24538 73.300 94.0 2856738.5 1.3862944
## 2168 25945 79.300 94.0 2856738.5 0.0000000
## 2169 649289 73.900 94.0 2856738.5 3.1354942
## 2170 97798 77.000 94.0 2856738.5 0.0000000
## 2171 211970 81.500 94.0 2856738.5 0.0000000
## 2172 44292 78.000 94.0 2856738.5 1.7917595
## 2173 10767 73.200 94.0 2856738.5 0.0000000
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## 2175 8648 73.300 94.0 2856738.5 0.0000000
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## 2177 253547 76.000 94.0 2856738.5 0.0000000
## 2178 429098 73.400 94.0 2856738.5 2.0794415
## 2179 224562 73.800 94.0 2856738.5 1.9459101
## 2180 22938 76.000 94.0 2856738.5 0.0000000
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## 2182 125122 77.300 96.0 1916169.0 0.0000000
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## 2184 528207 73.700 96.0 1916169.0 2.0794415
## 2185 776967 74.200 96.0 1916169.0 3.0445224
## 2186 12243 73.800 96.0 1916169.0 0.0000000
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## 2197 29524 73.600 95.0 3009703.0 1.3862944
## 2198 39927 75.000 95.0 3009703.0 0.0000000
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## 2201 10142 73.900 95.0 3009703.0 0.0000000
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## 2207 185750 77.000 95.0 3009703.0 3.4657359
## 2208 31635 73.700 96.0 3138292.5 1.3862944
## 2209 16489 74.200 96.0 3138292.5 0.0000000
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## 2212 218002 76.000 96.0 3138292.5 3.4657359
## 2213 10619 74.400 96.0 3138292.5 0.0000000
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## 2215 30749 76.500 96.0 3138292.5 0.0000000
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## 2219 174048 74.300 96.0 3138292.5 0.0000000
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## 2222 17190 74.500 97.0 2012321.0 0.0000000
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## 2226 74161 72.200 97.0 2012321.0 1.6094379
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## 2234 23156 83.000 96.0 668453.5 0.0000000
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## 2239 162650 74.600 96.0 668453.5 0.0000000
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## 2254 14954 74.400 97.0 4050259.5 0.0000000
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## 2289 418285 81.100 77.0 8227829.0 0.0000000
## 2290 685348 79.400 77.0 8227829.0 0.0000000
## 2291 2846864 79.200 77.0 8227829.0 1.0986123
## 2292 42910 79.400 87.0 7483934.0 0.0000000
## 2293 733955 79.800 87.0 7483934.0 0.0000000
## 2294 2320536 86.000 87.0 7483934.0 1.0986123
## 2295 408260 79.400 87.0 7483934.0 0.0000000
## 2296 2994704 79.600 87.0 7483934.0 1.0986123
## 2297 336280 79.800 87.0 7483934.0 0.0000000
## 2298 441635 81.500 87.0 7483934.0 0.0000000
## 2299 848559 79.762 86.0 7551117.0 0.0000000
## 2300 490741 81.701 86.0 7551117.0 0.0000000
## 2301 389186 79.829 86.0 7551117.0 0.0000000
## 2302 51587 79.700 86.0 7551117.0 0.0000000
## 2303 470922 79.441 86.0 7551117.0 0.0000000
## 2304 3425578 79.406 86.0 7551117.0 1.0986123
## 2305 2660591 80.657 86.0 7551117.0 1.0986123
## 2306 2930304 89.000 87.0 6437499.0 1.0986123
## 2307 567268 82.000 87.0 6437499.0 0.0000000
## 2308 3745264 79.900 87.0 6437499.0 0.6931472
## 2309 58844 80.000 87.0 6437499.0 0.0000000
## 2310 951870 83.000 87.0 6437499.0 0.0000000
## 2311 54467 83.000 88.0 1653388.0 0.0000000
## 2312 871519 86.000 88.0 1653388.0 0.0000000
## 2313 483254 79.800 88.0 1653388.0 0.0000000
## 2314 3411261 80.000 88.0 1653388.0 0.6931472
## 2315 554213 82.100 88.0 1653388.0 0.0000000
## 2316 2700887 81.100 88.0 1653388.0 1.0986123
## 2317 392275 84.000 88.0 1895586.0 0.0000000
## 2318 847381 88.000 88.0 1895586.0 0.0000000
## 2319 2645188 81.300 88.0 1895586.0 1.0986123
## 2320 3749315 85.000 88.5 7912398.0 0.6931472
## 2321 905271 81.100 88.5 7912398.0 0.0000000
## 2322 61696 88.000 88.5 7912398.0 0.0000000
## 2323 431685 88.000 88.5 7912398.0 0.0000000
## 2324 523330 83.000 88.5 7912398.0 0.0000000
## 2325 2865158 81.700 88.5 7912398.0 1.0986123
## 2326 838923 81.100 90.0 8425823.0 0.0000000
## 2327 409402 88.000 90.0 8425823.0 0.0000000
## 2328 686420 82.700 90.0 8425823.0 0.0000000
## 2329 3527143 86.000 90.0 8425823.0 0.6931472
## 2330 496153 83.000 90.0 8425823.0 0.0000000
## 2331 2683672 81.500 90.0 8425823.0 1.0986123
## 2332 59776 81.100 90.0 8425823.0 0.0000000
## 2333 521791 87.000 94.0 1286889.0 0.0000000
## 2334 3733805 86.000 94.0 1286889.0 0.6931472
## 2335 6556 72.000 94.0 1286889.0 0.0000000
## 2336 430191 81.100 94.0 1286889.0 0.0000000
## 2337 877173 81.400 94.0 1286889.0 0.0000000
## 2338 65203 81.400 94.0 1286889.0 0.0000000
## 2339 535390 89.000 93.0 556319.0 0.0000000
## 2340 3889093 89.000 93.0 556319.0 0.6931472
## 2341 892168 81.700 93.0 556319.0 0.0000000
## 2342 2855964 82.200 93.0 556319.0 1.0986123
## 2343 68805 81.700 93.0 556319.0 0.0000000
## 2344 442585 81.400 93.0 556319.0 0.0000000
## 2345 726538 83.200 93.0 556319.0 0.0000000
## 2346 3357586 81.000 93.5 8633169.0 0.6931472
## 2347 2439189 82.400 93.5 8633169.0 0.6931472
## 2348 694118 83.400 93.5 8633169.0 0.0000000
## 2349 60072 82.000 93.5 8633169.0 0.0000000
## 2350 462336 81.100 93.5 8633169.0 0.0000000
## lAlcohol lpercentage.expenditure lMeasles lTotal.expenditure
## 1 2.187174241 7.66997183 4.1743873 2.01089500
## 2 2.319442210 5.84986458 4.6821312 2.17475172
## 3 2.254444718 8.02757481 4.9487599 2.10169215
## 4 2.169053700 7.69892983 4.1743873 2.02551320
## 5 2.211565695 7.96979249 3.0445224 2.06559613
## 6 2.286455711 3.83702317 3.4657359 2.12704052
## 7 2.299580584 8.25050282 4.5108595 2.11866225
## 8 2.187174241 8.20570818 4.1896547 2.04251819
## 9 2.286455711 6.37769310 4.2484952 2.14826773
## 10 2.213753879 6.09216356 3.4965076 2.06559613
## 11 2.231089091 6.19655787 2.9957323 2.11021320
## 12 2.332143895 6.36153244 2.3025851 2.13416644
## 13 2.234306252 6.20702502 2.9957323 2.15755932
## 14 2.333114298 8.73021562 0.0000000 2.13888900
## 15 2.357073278 6.77147567 2.3978953 2.14358936
## 16 2.375835555 9.05336983 4.1743873 2.17247641
## 17 2.223541886 4.15225258 5.2882670 2.41680624
## 18 2.263844265 8.80449750 3.7612001 2.41591378
## 19 2.332143895 9.30440116 5.2470241 2.21920348
## 20 2.248128907 9.02910691 6.3919171 2.41947884
## 21 2.219203484 6.82932375 4.2195077 2.44495233
## 22 2.305580602 9.36862523 5.2933048 2.23644529
## 23 2.217027205 9.21224618 2.0794415 2.41323161
## 24 2.289499853 9.37031865 5.0625950 2.23644529
## 25 2.204972264 6.94724368 5.6347896 2.42480273
## 26 2.163323026 0.00000000 2.3025851 1.75006904
## 27 1.323088285 0.00000000 4.3040651 1.75006904
## 28 0.756121980 0.00000000 2.7725887 1.54329811
## 29 1.064710737 4.48010157 4.7273878 1.37118072
## 30 1.791759469 4.72331899 5.5012582 1.42551507
## 31 -0.994252273 2.19087183 5.2574954 1.53471437
## 32 1.749199855 2.53439814 4.5432948 1.24415459
## 33 -0.150822890 0.13278445 3.6375862 1.52388002
## 34 0.854415328 4.66514242 2.1972246 1.35325451
## 35 0.425267735 3.77652066 3.0910425 1.66392610
## 36 0.385262401 3.21865129 3.2188758 1.69377906
## 37 0.845868268 4.87044163 2.3978953 1.20597081
## 38 -0.510825624 2.36851092 6.8319536 1.49962305
## 39 0.431782416 3.35065320 4.4426513 1.64287269
## 40 1.258460990 0.00000000 1.7917595 1.69193913
## 41 1.884034745 3.15418828 3.1780538 1.30833282
## 42 1.057790294 5.19081928 0.0000000 1.34807315
## 43 1.226712291 0.00000000 2.0794415 1.71739505
## 44 -0.967584026 0.73894322 1.3862944 1.74046617
## 45 1.050821625 5.22629167 0.0000000 1.45861502
## 46 1.879465050 3.52390462 7.6980292 1.37371558
## 47 -0.994252273 2.98753492 0.0000000 1.77325600
## 48 0.908258560 0.00000000 3.2958369 1.90657514
## 49 0.672944473 4.34731770 6.7129562 1.70292826
## 50 -0.967584026 0.96555122 1.0986123 1.74046617
## 51 1.957273908 4.33334426 4.6913479 1.31640823
## 52 0.996948635 3.37664351 3.8712010 1.06471074
## 53 0.947789399 -1.02540433 4.0775374 0.77010822
## 54 1.018847320 0.00000000 3.6888795 1.92716411
## 55 2.006870849 6.21406878 2.5649494 1.16002092
## 56 0.765467842 2.22904443 6.7604147 1.75958057
## 57 -1.049822124 0.82083870 0.6931472 1.67709656
## 58 0.858661619 2.63118444 0.6931472 1.77833645
## 59 2.028148247 6.56290808 2.9957323 1.29472717
## 60 0.928219303 0.00000000 2.7725887 1.90210753
## 61 -1.139434283 1.42391835 0.0000000 1.71918878
## 62 0.875468737 3.53338854 0.0000000 0.65752000
## 63 1.893111963 6.69486313 0.0000000 1.41827741
## 64 0.871293366 0.00000000 0.0000000 1.91545094
## 65 0.854415328 3.63454630 0.0000000 0.63127178
## 66 -1.203972804 3.57560263 0.0000000 1.78002421
## 67 1.004301609 4.78295744 4.7621739 1.67522565
## 68 0.908258560 5.95408756 0.0000000 0.68813464
## 69 -1.139434283 3.95108837 0.0000000 1.78842057
## 70 1.187843422 0.00000000 5.4026774 1.82131827
## 71 1.040276712 4.94656264 6.1654179 1.73165555
## 72 0.936093359 6.19525836 0.0000000 0.68309684
## 73 1.891604804 5.18833582 4.8441871 1.52605630
## 74 -4.605170186 0.00000000 0.0000000 1.94161522
## 75 1.011600912 6.36201522 0.0000000 0.67294447
## 76 1.919859472 5.46110184 4.0073332 1.46325540
## 77 -4.605170186 4.26982222 2.7725887 1.85473427
## 78 -4.605170186 2.81625046 0.0000000 1.87026253
## 79 -4.605170186 0.00000000 0.0000000 1.89911799
## 80 1.075002423 4.15493956 0.0000000 0.75141609
## 81 -4.605170186 2.95295366 0.0000000 1.84371921
## 82 1.868720510 3.27363920 4.2904594 1.45861502
## 83 -4.605170186 -0.81463165 2.0794415 1.76473080
## 84 -4.605170186 2.05783589 0.0000000 1.92861865
## 85 1.838961071 3.19641494 5.7714411 1.47247206
## 86 1.064710737 6.53833279 0.0000000 0.99325177
## 87 -4.605170186 0.00000000 5.7620514 1.86872051
## 88 1.323088285 0.00000000 3.0910425 1.75006904
## 89 1.118414916 2.85994541 11.1717442 1.52605630
## 90 2.335052283 0.00000000 10.3935082 1.44220199
## 91 2.075684493 8.68715479 10.0211372 2.01889504
## 92 1.054312030 4.12469947 9.2758472 1.69561561
## 93 1.043804052 2.65539774 11.3959646 1.51732262
## 94 2.083184528 8.61004801 10.0235790 2.04769284
## 95 2.437989730 0.00000000 10.0458548 1.56024767
## 96 2.256541154 0.00000000 4.1271344 1.52822786
## 97 0.887891257 4.01834114 7.0942348 1.75958057
## 98 2.063058062 8.56603082 10.4285710 2.06051353
## 99 0.270027137 4.02636661 2.8903718 1.82131827
## 100 1.085189268 4.81166825 11.1827394 1.57277393
## 101 1.141033005 0.00000000 0.0000000 1.75006904
## 102 2.217027205 0.00000000 2.3978953 1.60140574
## 103 1.141033005 0.00000000 0.0000000 1.75006904
## 104 2.041220329 8.81674671 9.0770375 2.11625551
## 105 0.559615788 4.29376227 0.0000000 1.79009141
## 106 2.200552367 0.00000000 1.9459101 1.67335124
## 107 1.011600912 4.59191958 0.0000000 1.77495235
## 108 2.078190760 8.82462854 0.0000000 2.10169215
## 109 1.166270937 0.00000000 0.0000000 1.75006904
## 110 2.013568798 8.77988617 6.2538288 2.10291390
## 111 1.068153081 4.80500948 3.2580965 1.54329811
## 112 2.178155015 0.00000000 3.3322045 1.75093747
## 113 1.187843422 3.39260826 11.5089375 1.50851199
## 114 1.187843422 0.00000000 0.0000000 1.75006904
## 115 1.141033005 0.00000000 8.1747029 1.75006904
## 116 1.332366019 4.84180716 2.4849066 1.72276660
## 117 2.202764758 0.00000000 5.2678582 1.79009141
## 118 2.231089091 0.00000000 0.6931472 1.81807678
## 119 1.961502244 8.89743285 9.3070133 2.15176220
## 120 1.451613827 3.66931678 11.7863134 1.52388002
## 121 1.150572028 0.00000000 2.0794415 1.75006904
## 122 1.449269160 5.19856514 3.4339872 1.71918878
## 123 1.958685341 6.80148160 6.6080006 2.25234388
## 124 1.208960346 0.00000000 0.0000000 1.75006904
## 125 1.528227857 4.89909195 2.0794415 1.66581825
## 126 1.931521412 6.76042182 6.1092476 2.25967759
## 127 2.222459049 0.00000000 4.7361984 1.91545094
## 128 1.757857918 3.10531479 1.9459101 1.54756251
## 129 1.137833002 0.00000000 0.0000000 1.75006904
## 130 1.749199855 1.73355725 10.5495169 1.58719230
## 131 2.234306252 0.00000000 3.7376696 1.92132467
## 132 2.000127735 9.15891329 6.0730445 0.53062825
## 133 1.728109442 4.51379473 9.2046241 1.66770682
## 134 -4.605170186 5.55234046 0.0000000 1.49290410
## 135 2.257587727 0.00000000 0.6931472 1.96009478
## 136 1.283707772 0.00000000 0.0000000 1.75006904
## 137 2.000127735 4.80062937 5.4293456 0.15700375
## 138 1.747459210 4.54790601 8.7295589 1.66013103
## 139 -4.605170186 5.53665918 0.0000000 1.43983513
## 140 2.021547563 4.54790421 5.4337220 0.22314355
## 141 2.233235015 0.00000000 4.6728288 1.97408103
## 142 1.208960346 0.00000000 0.0000000 1.75006904
## 143 -4.605170186 4.48676521 6.1355649 0.20701417
## 144 -4.605170186 0.00000000 6.0913099 1.99741771
## 145 -4.605170186 5.63836321 0.0000000 1.55392520
## 146 1.754403683 4.69933781 10.8710036 1.71379793
## 147 1.323088285 0.00000000 0.0000000 1.75006904
## 148 1.323088285 0.00000000 10.6539834 1.75006904
## 149 1.323088285 0.00000000 9.9212784 1.75006904
## 150 1.323088285 0.00000000 1.9459101 1.75006904
## 151 1.323088285 0.00000000 3.5553481 1.75006904
## 152 2.581730834 0.00000000 2.1972246 1.84213568
## 153 2.128231706 6.02207231 4.3438054 1.70474809
## 154 2.503073954 4.32230999 0.0000000 2.02814825
## 155 2.320425011 5.41369763 8.4763712 1.69009582
## 156 2.291524146 0.00000000 6.5323343 1.89461685
## 157 1.501852702 2.06480894 6.7056391 1.72097929
## 158 2.403334996 0.00000000 0.0000000 1.70474809
## 159 2.563409711 3.18839511 3.0445224 1.81319475
## 160 2.271094426 2.72364316 3.8286414 1.90210753
## 161 2.318458442 5.02806183 3.5553481 1.46556754
## 162 2.348514025 0.97173571 7.6362696 1.73518912
## 163 2.280339484 5.19356507 2.3025851 1.47247206
## 164 2.396075436 0.00000000 6.1246834 1.94591015
## 165 2.373975089 2.64343466 3.8066625 1.89009537
## 166 2.592265168 0.00000000 1.7917595 1.85941812
## 167 1.460937904 2.18576151 9.7392024 1.73342389
## 168 2.372111156 3.22137785 2.0794415 1.97823904
## 169 2.046401688 6.14576874 4.8903491 1.76814960
## 170 2.578700529 2.02829198 2.9957323 1.96150224
## 171 2.373043557 0.00000000 0.0000000 1.70474809
## 172 1.903598951 0.00000000 8.5028914 2.11745961
## 173 2.377692565 0.00000000 0.0000000 1.72810944
## 174 2.600464990 0.00000000 1.3862944 1.91692261
## 175 1.587192303 4.75133743 8.9341915 1.83258146
## 176 2.503891950 4.97964923 2.6390573 1.86717611
## 177 2.081938422 6.24621420 3.5263605 1.84371921
## 178 2.263844265 3.63291078 2.6390573 1.51951320
## 179 2.413231613 3.17118806 3.0445224 1.88555335
## 180 1.778336449 3.05512619 6.0185932 1.93585981
## 181 2.565718293 0.00000000 3.4011974 1.96431123
## 182 2.583242551 6.93752791 0.0000000 2.13060983
## 183 2.287471455 0.00000000 0.0000000 1.76130026
## 184 2.172476408 5.92739000 2.1972246 1.66770682
## 185 2.415020522 3.47773120 0.0000000 2.00552586
## 186 2.426571073 5.80878754 8.0989467 1.72455072
## 187 2.098017927 0.00000000 4.4659081 2.10900034
## 188 2.203869120 6.29530936 3.8712010 1.82776991
## 189 2.489064660 3.74560092 0.6931472 1.88555335
## 190 2.394252282 5.95102608 0.0000000 2.06686276
## 191 2.442347035 3.83978763 7.8013913 1.64673370
## 192 2.586259144 4.98948521 0.0000000 2.17475172
## 193 2.305580602 0.00000000 0.6931472 1.97546895
## 194 2.507157259 0.00000000 1.3862944 2.13888900
## 195 2.284421122 6.06686195 4.7621739 1.69193913
## 196 1.915450942 5.19492040 4.9836066 1.88858365
## 197 2.218115936 6.47400542 2.3978953 1.82293509
## 198 2.579458967 0.00000000 0.0000000 1.93585981
## 199 2.380471632 0.00000000 0.0000000 2.00148000
## 200 2.349468679 6.12323917 1.0986123 2.05412373
## 201 2.251291799 4.37468760 2.5649494 1.82454929
## 202 2.560323289 7.18317509 0.6931472 2.11384297
## 203 1.989243274 5.38189777 7.7798851 1.85785927
## 204 2.448415541 6.43856441 6.1180972 1.65057986
## 205 2.038619547 6.42227746 8.5257564 1.69927862
## 206 2.577181926 7.16970354 0.0000000 2.09186406
## 207 2.533696814 5.89832366 5.0039463 1.84687877
## 208 2.123458427 0.00000000 3.5263605 0.48858001
## 209 2.330200260 0.00000000 0.0000000 1.99470031
## 210 2.341805806 2.21326807 4.7874917 1.81969884
## 211 2.078190760 3.38037295 10.6625161 1.85473427
## 212 2.567254391 0.00000000 1.9459101 1.90061387
## 213 2.467251715 2.50567620 7.0449051 1.66770682
## 214 2.340843805 6.23172174 0.0000000 1.89761986
## 215 2.267993648 0.00000000 2.3025851 0.63127178
## 216 2.597491011 0.00000000 0.6931472 1.87487438
## 217 2.387844937 6.38267875 0.0000000 1.85785927
## 218 2.360854001 6.82346820 5.8664681 1.65057986
## 219 2.388762789 2.66055636 3.6888795 1.83736998
## 220 2.654649424 6.14005159 0.0000000 1.86252854
## 221 2.358965426 0.00000000 0.0000000 2.04898233
## 222 2.500615943 2.40027168 5.1532916 1.68268837
## 223 2.181546765 3.83291171 6.9127428 1.85002838
## 224 2.396075436 4.68197022 0.0000000 1.88858365
## 225 2.685804592 6.21821282 0.0000000 1.78339122
## 226 2.454447442 5.20270588 0.0000000 1.99197552
## 227 2.430978308 0.00000000 0.0000000 2.10413415
## 228 2.476538400 4.85265952 2.4849066 1.67335124
## 229 2.433613355 2.75459966 0.0000000 1.92861865
## 230 2.488234440 5.08592930 3.2958369 1.82776991
## 231 2.438862711 7.15551803 0.0000000 2.02154756
## 232 2.370243741 7.16947299 4.7449321 1.96290773
## 233 2.391511302 6.49453180 7.7182410 1.91397710
## 234 2.582486978 0.00000000 1.6094379 2.06051353
## 235 2.363680192 0.00000000 0.0000000 2.21375388
## 236 2.134166441 0.00000000 0.0000000 2.52492832
## 237 2.164471791 5.78243694 0.0000000 2.05412373
## 238 2.416806237 4.92002717 4.6151205 2.00687085
## 239 2.127040520 5.92874713 3.6635616 2.05540496
## 240 2.670002133 2.13937124 0.0000000 1.71379793
## 241 2.377692565 2.95596389 0.0000000 2.06051353
## 242 2.315501318 0.00000000 0.0000000 2.14124194
## 243 2.197224577 6.89086525 5.2626902 1.76301700
## 244 2.110213200 0.00000000 0.0000000 2.54944517
## 245 2.379546134 6.64176358 9.9989795 1.97962121
## 246 2.402430428 5.09257654 4.8598124 1.92132467
## 247 2.208274414 2.33465420 8.3402173 1.71018782
## 248 2.326301620 0.00000000 0.0000000 2.07442900
## 249 2.391511302 5.52177038 0.0000000 1.90210753
## 250 2.137710450 6.02867066 7.1951873 1.94304892
## 251 2.851284369 6.74159598 3.9120230 1.59330853
## 252 2.246014742 0.00000000 0.0000000 0.47623418
## 253 2.520112906 0.00000000 2.8332133 2.01490302
## 254 2.443216223 2.88038982 1.6094379 2.05923883
## 255 2.794227897 4.51862729 2.3025851 1.62924054
## 256 2.314513664 0.00000000 0.0000000 2.09801793
## 257 2.542389085 0.00000000 3.0910425 2.02154756
## 258 2.132982309 6.11761930 9.4529728 2.01089500
## 259 2.368372834 0.00000000 2.3978953 2.47401421
## 260 2.422144328 5.10156828 0.6931472 2.04640169
## 261 2.521720623 0.00000000 2.7080502 2.01356880
## 262 2.350422422 0.00000000 3.2958369 0.40546511
## 263 2.358965426 7.33269471 7.7574788 2.06686276
## 264 2.132982309 3.95938922 0.0000000 2.03731662
## 265 2.685122696 7.01198431 2.7725887 1.90210753
## 266 2.489894191 5.00836525 2.6390573 2.07065304
## 267 2.453587967 3.15424492 4.4308168 1.85629799
## 268 2.260720889 7.11537758 7.0553128 1.72276660
## 269 2.314513664 7.20083802 8.4576555 2.04122033
## 270 -4.605170186 0.45514958 4.0775374 1.71739505
## 271 2.371177884 5.49638298 0.0000000 1.84845481
## 272 2.487403530 5.03135277 0.0000000 2.13298231
## 273 -4.605170186 5.08106228 0.0000000 2.00148000
## 274 2.301584593 0.00000000 0.6931472 0.27763174
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## 689 -0.385662481 4.53659992 8.2997832 1.89911799
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## 691 -0.356674944 5.78416812 0.0000000 1.86252854
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## 695 -0.527632742 4.82333284 8.2591994 1.91545094
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## 699 -0.544727175 5.06260735 7.2334554 2.12704052
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## 703 -0.127833372 5.82095580 1.0986123 1.35325451
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## 710 -0.342490309 4.45105745 0.0000000 1.48160454
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## 712 0.667829373 4.39502382 0.0000000 1.30291275
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## 715 -0.210721031 4.64176990 0.0000000 1.52605630
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## 717 -0.186329578 5.88913858 0.0000000 1.36097655
## 718 -0.198450939 3.02204676 0.0000000 1.47247206
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## 721 -0.235722334 2.94441896 0.0000000 1.43031125
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## 723 -4.605170186 5.99593729 0.0000000 1.52605630
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## 726 -0.010050336 5.43663805 0.0000000 1.75785792
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## 730 -4.605170186 6.05909638 0.0000000 1.30833282
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## 732 -4.605170186 3.24683401 2.4849066 1.56444055
## 733 -4.605170186 3.20814995 0.0000000 1.69009582
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## 735 -4.605170186 3.92275489 0.0000000 1.50185270
## 736 -4.605170186 5.33864881 7.7402295 1.44926916
## 737 -4.605170186 1.31330390 0.0000000 1.70474809
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## 749 -0.733969175 2.36314139 0.0000000 0.32930375
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## 768 1.323088285 0.00000000 0.0000000 1.75006904
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## 774 -4.605170186 5.89269834 6.4504704 1.52605630
## 775 -0.776528789 4.26431867 7.9098567 1.49065438
## 776 0.593326845 3.36317343 8.3806859 1.08518927
## 777 0.463734016 3.42174729 8.4182564 1.08180517
## 778 0.157003749 5.57146366 4.5849675 1.67147330
## 779 -4.605170186 3.37191785 8.2661644 1.51951320
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## 782 -0.544727175 4.47921076 9.2910905 1.65822808
## 783 -4.605170186 5.68737071 0.0000000 1.52605630
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## 785 -1.078809661 3.21961645 9.6404330 1.28093385
## 786 0.553885113 3.56537328 8.3850323 1.15688120
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## 788 -4.605170186 3.45967171 7.9269635 1.24126859
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## 790 -0.798507696 5.39541549 8.0983388 1.26412673
## 791 -0.579818495 4.60880191 8.7638970 1.65249740
## 792 -1.832581464 0.00000000 4.3820266 1.65057986
## 793 0.438254931 3.62674859 7.2254815 1.15688120
## 794 -4.605170186 6.15762434 5.6767538 0.99694863
## 795 -0.755022584 2.24806251 0.0000000 1.72276660
## 796 -1.832581464 0.00000000 4.3438054 1.72276660
## 797 0.641853886 4.09994315 5.4293456 1.36863943
## 798 -1.714798428 0.00000000 6.8596149 1.65632150
## 799 -1.021651248 5.59931118 6.8501262 1.21194097
## 800 0.698134722 4.45587717 5.7899602 1.55180880
## 801 -1.560647748 0.00000000 7.4289272 1.59938758
## 802 -4.605170186 4.00512913 4.0775374 0.96698385
## 803 -0.820980552 5.76933275 0.0000000 1.34025042
## 804 -0.579818495 5.06033390 7.7177962 1.70110510
## 805 -4.605170186 6.27790210 2.0794415 0.87546874
## 806 -0.776528789 3.76322535 5.3798974 1.43508453
## 807 -0.673344553 5.14380102 7.2827612 1.68824909
## 808 -1.427116356 0.00000000 6.5042882 1.57277393
## 809 0.688134639 2.83636677 4.2195077 2.12823171
## 810 0.336472237 6.37268953 0.0000000 1.82131827
## 811 -0.693147181 5.86381196 4.6728288 1.67896398
## 812 -1.560647748 0.00000000 6.4101749 1.62924054
## 813 -0.478035801 5.23798485 6.7262334 1.73518912
## 814 -4.605170186 4.15185379 5.7960578 1.15057203
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## 816 -0.798507696 6.06545262 4.6347290 1.63315444
## 817 -0.579818495 5.21308197 6.4504704 1.76814960
## 818 -1.514127733 0.00000000 2.7725887 1.56861592
## 819 0.570979547 5.14755138 6.5220928 2.07568449
## 820 -4.605170186 3.96088825 0.0000000 1.25276297
## 821 -0.616186139 3.09533099 6.8895913 1.79009141
## 822 -1.514127733 0.00000000 3.2580965 1.68639895
## 823 -0.579818495 6.23245203 4.7184989 1.66581825
## 824 -0.597837001 2.95274843 6.5042882 1.81645208
## 825 -1.469675970 0.00000000 5.5012582 1.66581825
## 826 -4.605170186 0.00000000 5.7683210 1.45861502
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## 828 -0.798507696 5.19217819 4.5217886 1.78170913
## 829 -4.605170186 0.00000000 0.0000000 1.46556754
## 830 -0.634878272 6.29977748 3.2188758 1.96290773
## 831 -1.560647748 0.00000000 6.0038871 1.69744879
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## 833 -4.605170186 5.42862309 7.9420068 2.13060983
## 834 -4.605170186 0.00000000 5.9188939 1.60341984
## 835 -4.605170186 5.53579233 6.5161931 2.13179677
## 836 -4.605170186 3.99336920 0.0000000 1.97546895
## 837 0.329303747 6.40501378 2.7080502 1.94591015
## 838 -1.560647748 0.00000000 7.1808312 1.72988407
## 839 1.323088285 0.00000000 8.1845138 1.75006904
## 840 1.323088285 0.00000000 2.7725887 1.75006904
## 841 1.323088285 0.00000000 4.1431347 1.75006904
## 842 1.323088285 0.00000000 4.4067192 1.75006904
## 843 1.323088285 0.00000000 2.8332133 1.75006904
## 844 2.105352923 0.00000000 4.4426513 2.61739583
## 845 2.028148247 8.23946001 5.3278762 2.15986879
## 846 2.110213200 0.00000000 4.7535902 2.61958322
## 847 2.028148247 8.20660809 3.5263605 2.20827441
## 848 2.119863456 0.00000000 3.7135721 2.67759099
## 849 2.041220329 8.45272839 2.7080502 2.25549349
## 850 2.054123734 8.61492406 1.9459101 2.25758773
## 851 2.137710450 0.00000000 3.6109179 2.71734025
## 852 2.079441542 8.75355744 1.7917595 2.25863321
## 853 2.155244505 0.00000000 4.0073332 2.72589012
## 854 2.116255515 8.98051751 4.6151205 2.28543893
## 855 2.167910190 0.00000000 3.7612001 2.74534599
## 856 2.116255515 9.04001894 4.1271344 0.26236426
## 857 2.167910190 0.00000000 4.9416424 2.78501124
## 858 2.128231706 9.06527702 4.5951199 2.41591378
## 859 2.159868791 0.00000000 5.3936275 2.86789890
## 860 2.177021870 0.00000000 4.0073332 2.84490938
## 861 2.116255515 9.18488268 2.3025851 0.57661336
## 862 2.104134154 9.18330088 4.4188406 0.51282363
## 863 2.091864062 4.62683595 6.0354814 0.37156356
## 864 1.323088285 0.00000000 5.2729996 1.75006904
## 865 1.323088285 0.00000000 5.2364420 1.75006904
## 866 -4.605170186 1.67674033 2.1972246 1.66392610
## 867 2.644044871 8.24132940 0.0000000 1.84054963
## 868 1.735189118 8.73088613 0.0000000 2.11263451
## 869 2.150598736 5.98583214 0.0000000 1.97685495
## 870 1.819698838 8.66718472 0.0000000 2.22786155
## 871 2.289499853 5.92227671 2.9444390 1.86562932
## 872 2.458733775 6.23195613 2.6390573 2.16332303
## 873 1.964311234 5.67338195 0.0000000 1.79175947
## 874 2.359910160 0.00000000 4.6443909 1.93730177
## 875 1.824549292 8.21330783 4.0775374 2.10169215
## 876 1.702928256 8.75728468 1.3862944 2.15755932
## 877 2.190535589 7.92852690 0.0000000 2.00552586
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## 879 2.389679800 0.00000000 4.2904594 1.98924327
## 880 1.887069649 8.17598275 1.6094379 2.18154676
## 881 -4.605170186 4.48446429 0.0000000 1.57897870
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## 883 2.658159431 8.35809879 5.4847969 1.88706965
## 884 2.224623552 8.03895005 0.0000000 2.05540496
## 885 1.773255998 6.61964957 1.6094379 2.26384426
## 886 1.888583654 8.69082658 0.0000000 2.28848617
## 887 2.440606391 2.05489815 0.0000000 1.57691472
## 888 2.006870849 5.93080388 0.0000000 1.83896107
## 889 2.428336298 8.47669325 3.4657359 2.23323501
## 890 1.931521412 8.29357449 2.1972246 2.22245905
## 891 2.231089091 8.26075815 0.0000000 2.09801793
## 892 2.454447442 4.88826720 0.0000000 1.59330853
## 893 2.445819261 6.47848100 0.0000000 2.25234388
## 894 1.798404012 6.78076026 2.0794415 2.28747146
## 895 2.472327868 0.00000000 6.1312265 2.05540496
## 896 2.109000344 6.16974564 0.0000000 1.81645208
## 897 2.583242551 6.51502890 6.3699010 2.01490302
## 898 1.888583654 6.58684083 0.0000000 0.53062825
## 899 2.493205453 4.33548358 0.0000000 1.73518912
## 900 2.291524146 8.41378769 0.0000000 2.10535292
## 901 2.175887440 4.38243702 0.0000000 1.87333946
## 902 1.915450942 9.04853900 0.0000000 2.26072089
## 903 2.589266665 8.99221178 5.8111410 1.99333884
## 904 1.887069649 8.66446834 1.6094379 2.29253476
## 905 2.422144328 8.84633000 0.0000000 2.26902831
## 906 1.827769907 6.91753234 1.9459101 2.24495598
## 907 2.294552921 4.46505189 0.6931472 1.85159947
## 908 1.953027617 9.27154871 0.0000000 2.22028985
## 909 2.423031246 8.93950394 0.6931472 2.27931647
## 910 2.588515632 6.88108408 4.5538769 1.98375629
## 911 2.489064660 0.00000000 4.3694479 2.10900034
## 912 2.297572551 8.47982141 0.0000000 2.13179677
## 913 2.509599262 6.81750177 0.0000000 1.76301700
## 914 2.341805806 7.00238235 1.9459101 1.91692261
## 915 2.451866796 0.00000000 6.6385678 2.12345843
## 916 1.974081026 6.91089016 0.0000000 2.19277023
## 917 1.871802177 8.75927879 2.9444390 2.19165353
## 918 2.399711804 6.74635864 3.2958369 2.29455292
## 919 2.598235335 9.11898479 4.4659081 1.97685495
## 920 2.541601993 4.75793386 0.0000000 1.82454929
## 921 1.867176109 9.45948332 0.0000000 2.13179677
## 922 2.317473705 6.26297441 0.0000000 2.12584791
## 923 1.931521412 8.93503362 0.0000000 2.18829595
## 924 2.018895042 9.39623667 0.0000000 2.16905370
## 925 2.396985768 9.18019742 0.6931472 2.30158459
## 926 2.494856981 5.14159580 0.0000000 1.96009478
## 927 1.887069649 9.60436780 0.0000000 2.14943391
## 928 2.471483629 0.00000000 6.9295168 2.13060983
## 929 2.595254707 7.36613658 0.0000000 1.82776991
## 930 2.138889000 8.93771964 0.0000000 2.17475172
## 931 2.538447417 9.16201431 4.0430513 2.15640258
## 932 1.931521412 9.00030933 3.2188758 2.22245905
## 933 2.439734931 0.00000000 7.2758646 2.18041746
## 934 2.370243741 9.28370069 2.6390573 0.16551444
## 935 2.587764035 7.54335274 0.0000000 1.88858365
## 936 2.832624936 5.41642196 0.0000000 1.88706965
## 937 2.378619779 0.00000000 7.1000272 2.28340227
## 938 2.434490164 8.93863971 5.0998664 2.25444472
## 939 2.310553263 9.18662303 1.7917595 2.43973493
## 940 2.324346585 6.53317475 0.0000000 2.21046980
## 941 2.287471455 7.03669689 0.0000000 1.92278773
## 942 2.298577072 6.36257703 0.6931472 2.21920348
## 943 1.899117988 4.95846402 0.6931472 2.25023861
## 944 2.710713319 7.44838553 0.0000000 1.93585981
## 945 2.474856314 8.41388275 6.0935698 2.17019590
## 946 2.330200260 6.86117360 1.6094379 2.46809953
## 947 2.386926241 0.00000000 6.0935698 2.25234388
## 948 1.974081026 6.65704491 1.7917595 2.24812891
## 949 2.274185618 6.38294759 1.6094379 2.25129180
## 950 1.885553349 9.63351864 1.0986123 2.22570405
## 951 2.706048198 7.49666220 0.0000000 1.83258146
## 952 2.110213200 8.70044361 0.0000000 2.18154676
## 953 2.282382386 7.01208782 0.0000000 1.87946505
## 954 2.557227311 7.26108631 0.6931472 2.06686276
## 955 2.538447417 7.47239998 1.9459101 1.92570744
## 956 2.283402274 4.26290814 3.2958369 2.20827441
## 957 -4.605170186 7.67180153 1.9459101 1.76301700
## 958 2.368372834 0.00000000 7.0139155 2.23430625
## 959 2.001480000 9.34815843 3.2580965 2.45958884
## 960 2.316487998 3.20714369 0.0000000 1.80828877
## 961 2.095560924 1.95275701 0.0000000 2.15755932
## 962 2.343727036 0.00000000 7.6458758 2.24177295
## 963 2.055404964 8.82740159 0.0000000 2.16102153
## 964 2.223541886 8.68084361 0.0000000 2.23001440
## 965 2.001480000 9.30082285 3.4011974 2.46809953
## 966 2.717340248 7.49946277 0.0000000 1.89761986
## 967 2.323367632 7.21231081 1.0986123 1.77664583
## 968 1.826160896 7.64692258 1.3862944 2.21484618
## 969 2.225704049 6.83348107 0.6931472 0.68309684
## 970 2.193885676 8.71858126 0.6931472 2.25654115
## 971 -4.605170186 5.56563657 0.6931472 1.86872051
## 972 2.710713319 7.58518804 3.5553481 1.88555335
## 973 2.338917022 5.01271106 0.0000000 1.73518912
## 974 1.989243274 6.63927967 0.0000000 2.16905370
## 975 1.826160896 5.45866118 2.0794415 2.23964529
## 976 2.334083760 0.00000000 7.5595595 2.23430625
## 977 1.987874348 7.10057679 3.9318256 2.48240352
## 978 2.350422422 6.55614283 3.9318256 2.09186406
## 979 1.801709800 5.17974939 1.0986123 2.27418562
## 980 2.265921109 9.25615114 3.2958369 0.58778666
## 981 2.720637317 7.70153670 2.3978953 1.87946505
## 982 1.987874348 7.04072237 3.2580965 2.47905624
## 983 2.174751721 8.72655507 0.0000000 2.27006190
## 984 -4.605170186 7.90103411 0.0000000 1.85316810
## 985 -4.605170186 7.34124791 3.5835189 1.77155676
## 986 1.323088285 0.00000000 3.9120230 1.75006904
## 987 1.323088285 0.00000000 0.0000000 1.75006904
## 988 1.323088285 0.00000000 1.3862944 1.75006904
## 989 1.323088285 0.00000000 0.6931472 1.75006904
## 990 2.366498419 0.00000000 4.5108595 1.75006904
## 991 1.786746927 0.00000000 2.6390573 1.75006904
## 992 1.323088285 0.00000000 2.1972246 1.75006904
## 993 1.323088285 0.00000000 3.0910425 1.75006904
## 994 0.215111380 3.70108686 0.0000000 1.55814462
## 995 1.098612289 3.05655924 0.0000000 1.66959184
## 996 1.232560261 5.29537219 0.0000000 1.64093658
## 997 0.300104592 5.79939788 1.3862944 1.73342389
## 998 0.412109651 5.73921505 0.0000000 1.66770682
## 999 0.582215620 3.82539827 0.0000000 1.77495235
## 1000 1.427916036 3.21876267 0.0000000 1.54968791
## 1001 0.587786665 6.04807016 0.0000000 1.58309394
## 1002 1.286474026 5.73854380 0.0000000 1.49290410
## 1003 0.451075619 6.53661047 0.0000000 1.87487438
## 1004 1.289232648 5.66110853 0.0000000 1.49738841
## 1005 0.582215620 6.22175886 0.0000000 1.72455072
## 1006 1.258460990 3.69457711 0.0000000 1.54329811
## 1007 0.717839793 6.34365067 0.0000000 1.76130026
## 1008 1.378766095 3.85762184 0.0000000 1.50851199
## 1009 0.095310180 6.34497913 0.0000000 1.63510566
## 1010 1.101940079 6.07487251 2.0794415 1.74046617
## 1011 0.215111380 6.15662038 0.0000000 1.52388002
## 1012 0.765467842 6.32564961 0.0000000 1.75785792
## 1013 -0.040821995 1.95075281 0.0000000 1.52605630
## 1014 -4.605170186 4.15579943 0.0000000 1.50629715
## 1015 -4.605170186 6.19859096 0.0000000 1.64865863
## 1016 -4.605170186 0.00000000 0.0000000 1.97408103
## 1017 -4.605170186 0.00000000 0.0000000 1.27536280
## 1018 -4.605170186 6.49266064 0.0000000 1.97685495
## 1019 -4.605170186 6.33853616 0.0000000 1.64480506
## 1020 1.323088285 0.00000000 0.0000000 1.75006904
## 1021 1.323088285 0.00000000 0.0000000 1.75006904
## 1022 -0.994252273 2.46783349 3.7376696 1.25276297
## 1023 -0.693147181 3.89324116 0.0000000 1.18172720
## 1024 -1.049822124 0.92085522 6.7393366 0.60976557
## 1025 1.771556762 -1.28862965 8.3123806 1.22377543
## 1026 1.640936579 0.00000000 5.8051350 1.22671229
## 1027 -0.616186139 3.15152470 8.7302056 1.22377543
## 1028 -2.813410717 1.23353461 8.1149230 0.68309684
## 1029 0.412109651 -1.11346792 9.4122194 1.76985463
## 1030 1.553925203 2.45933621 8.8706630 1.16627094
## 1031 0.470003629 0.00000000 9.7118427 1.58719230
## 1032 0.708035793 7.52608667 4.9487599 0.99694863
## 1033 1.141033005 0.00000000 4.5432948 1.46325540
## 1034 -0.967584026 0.65084701 7.8316173 0.58778666
## 1035 -0.693147181 1.88046966 0.0000000 1.32175584
## 1036 -0.634878272 5.34825782 7.6953031 1.22377543
## 1037 0.536493371 3.32106088 8.2324402 1.74046617
## 1038 -0.755022584 6.98347707 2.3978953 1.28093385
## 1039 0.609765572 0.00000000 9.3974836 1.64287269
## 1040 1.778336449 5.17083916 8.8982290 1.19996478
## 1041 0.732367894 6.91111650 6.0112672 0.86288996
## 1042 -0.891598119 1.23019038 6.6012301 0.91629073
## 1043 0.708035793 0.00000000 8.8180383 1.54756251
## 1044 1.486139696 -2.30386401 8.8540939 1.02604160
## 1045 1.202972304 0.00000000 7.6353039 1.48160454
## 1046 0.770108222 4.95652387 5.3518581 1.04380405
## 1047 -0.733969175 1.73150039 0.0000000 1.35840916
## 1048 0.357674444 3.43109935 7.2159750 1.78339122
## 1049 -2.040220829 6.84769067 0.0000000 1.22377543
## 1050 -0.820980552 3.83711254 4.5432948 0.90825856
## 1051 0.783901544 0.00000000 7.7393592 1.57691472
## 1052 0.357674444 7.72447684 3.4965076 1.28923265
## 1053 -0.916290732 1.34135256 6.7214257 0.67803354
## 1054 -2.995732274 2.13536758 10.1046718 0.92821930
## 1055 0.364643114 4.01810117 6.4815771 1.90805992
## 1056 -0.733969175 5.57689416 6.4488894 1.37371558
## 1057 -2.120263536 7.24886812 3.1780538 1.36097655
## 1058 1.814824742 5.64486885 8.4160460 1.27536280
## 1059 1.226712291 0.00000000 7.5010821 1.59127394
## 1060 1.819698838 5.70830483 8.3344716 1.25561604
## 1061 0.371563556 5.31933587 4.5643482 1.15373159
## 1062 1.050821625 0.00000000 5.3798974 1.77495235
## 1063 -0.713349888 5.75467814 8.6532963 1.31908561
## 1064 -2.207274913 7.31608298 2.7725887 1.13140211
## 1065 1.261297871 0.00000000 7.3072023 1.51292701
## 1066 1.492904096 2.59518389 8.0146664 1.17248214
## 1067 0.322083499 2.12657787 5.8636312 1.86097454
## 1068 1.302912752 0.00000000 5.6869754 1.46325540
## 1069 0.993251773 0.00000000 6.0161572 1.68268837
## 1070 -1.832581464 5.19137105 2.1972246 0.96317432
## 1071 -1.021651248 1.96391069 5.3132060 0.40546511
## 1072 1.834180185 5.77204935 8.1679194 1.26694760
## 1073 0.398776120 7.76503097 3.4965076 1.31908561
## 1074 -0.776528789 5.69572135 7.2492151 1.19088756
## 1075 1.439835128 4.66089528 4.7706846 1.36353737
## 1076 -2.813410717 1.68301965 9.6711140 1.02604160
## 1077 0.688134639 4.13064712 5.5759491 1.76473080
## 1078 -3.218875825 3.33668037 4.4998097 -0.43078292
## 1079 0.438254931 7.87829817 3.1354942 1.29746315
## 1080 0.940007258 0.00000000 7.5898415 1.71559811
## 1081 1.406096988 4.79878232 2.1972246 1.37371558
## 1082 -1.272965676 1.53315632 6.6333184 0.57661336
## 1083 1.305626458 0.00000000 4.0604430 1.42069579
## 1084 -0.400477567 3.21788851 0.0000000 0.80647587
## 1085 -0.867500568 5.90239122 6.3350543 1.29472717
## 1086 -2.813410717 4.27688737 9.9243680 1.06815308
## 1087 0.708035793 3.94166862 5.2364420 1.49962305
## 1088 -0.162518929 7.62489113 0.0000000 0.84156719
## 1089 1.824549292 6.25529679 8.2669353 1.26976054
## 1090 0.470003629 8.03364984 2.7080502 1.24126859
## 1091 1.101940079 0.00000000 2.8332133 1.93152141
## 1092 -2.995732274 2.46450571 0.0000000 -0.99425227
## 1093 -1.347073648 -0.63379810 6.9920964 0.51879379
## 1094 -2.813410717 4.63116376 9.8759108 1.13140211
## 1095 0.732367894 4.05586647 5.9763509 1.32175584
## 1096 1.778336449 6.41337889 8.9605961 1.36609165
## 1097 -0.400477567 7.83950236 1.0986123 0.80200159
## 1098 -0.755022584 6.08325016 5.8111410 1.24415459
## 1099 0.530628251 8.13274497 2.8903718 1.36353737
## 1100 -2.813410717 3.60255846 0.0000000 -0.30110509
## 1101 -1.203972804 2.25449512 5.8081425 0.62593843
## 1102 1.629240540 0.00000000 5.1590553 1.01884732
## 1103 1.437462648 5.04649628 5.8318825 1.50407740
## 1104 1.275362800 0.00000000 5.8636312 1.71018782
## 1105 -2.659260037 2.32858525 9.6401078 1.03318448
## 1106 1.644805056 0.00000000 4.3567088 1.32707500
## 1107 0.756121980 3.87855391 8.4719866 1.85002838
## 1108 -1.386294361 7.53566335 0.6931472 1.04731899
## 1109 -2.407945609 3.58904495 2.3025851 0.18232156
## 1110 1.771556762 6.30483290 8.7112786 1.41342303
## 1111 -1.272965676 2.40265475 5.7960578 0.91629073
## 1112 -2.525728644 4.83467798 9.9435733 1.04027671
## 1113 1.486139696 5.07226239 7.2923372 1.48387469
## 1114 1.783391220 0.00000000 5.0304379 1.01160091
## 1115 -2.525728644 5.24989030 9.8452756 1.00795792
## 1116 0.788457360 4.04101700 7.0527210 1.78339122
## 1117 -0.127833372 7.70452537 0.0000000 1.00430161
## 1118 -1.203972804 2.86122541 5.2470241 0.65232519
## 1119 0.609765572 8.42080205 3.9120230 1.37624403
## 1120 1.368639426 0.00000000 7.9405838 1.85002838
## 1121 1.578978705 5.28956104 8.7590407 1.47476301
## 1122 1.371180723 0.00000000 6.6200732 1.82454929
## 1123 -2.525728644 5.35601224 9.9939222 0.99694863
## 1124 -0.693147181 1.00304463 6.6372580 -0.27443685
## 1125 1.803358605 6.61799786 8.0570607 1.41585316
## 1126 -0.030459207 5.68959233 1.3862944 0.81093022
## 1127 1.684545385 0.00000000 4.7273878 0.78845736
## 1128 -1.108662625 3.05574440 7.6236419 0.62593843
## 1129 -0.673344553 2.22246190 7.3581938 1.35840916
## 1130 1.601405741 5.25486158 8.7853866 1.45628673
## 1131 -0.634878272 4.62113453 7.5326236 1.41098697
## 1132 -4.605170186 3.40717897 2.7725887 0.09531018
## 1133 1.415853163 0.00000000 6.3595739 1.94017947
## 1134 -4.605170186 0.00000000 3.4657359 0.75141609
## 1135 -4.605170186 8.06860169 0.0000000 0.83290912
## 1136 -4.605170186 1.93365305 2.7080502 1.83098018
## 1137 1.613429934 5.36007945 7.3369369 1.49514877
## 1138 -0.597837001 3.64878397 7.6847839 0.79750720
## 1139 0.636576829 8.70646702 3.7376696 1.43983513
## 1140 -4.605170186 7.95342605 0.0000000 0.95935022
## 1141 -4.605170186 0.00000000 4.2626799 0.69314718
## 1142 -4.605170186 1.21783868 1.3862944 0.25464222
## 1143 -4.605170186 2.16999206 0.0000000 1.78002421
## 1144 0.604315967 6.57136478 4.9272537 1.51072194
## 1145 1.386294361 0.00000000 7.0237590 1.96990565
## 1146 -2.407945609 3.12885618 9.0382463 1.07500242
## 1147 1.528227857 3.20232904 7.9793389 1.51732262
## 1148 1.871802177 6.67036997 7.8789129 1.38629436
## 1149 -4.605170186 2.49975591 0.0000000 1.73695123
## 1150 -0.653926467 6.58114600 5.3981627 1.42791604
## 1151 -4.605170186 3.81414304 4.8040210 0.82417544
## 1152 -4.605170186 5.59524387 0.0000000 0.97455964
## 1153 0.604315967 8.98364632 0.0000000 1.59330853
## 1154 -2.407945609 5.29865953 9.4683104 1.04731899
## 1155 -4.605170186 3.33739761 3.8501476 0.39204209
## 1156 1.408544970 0.00000000 9.6180031 2.04122033
## 1157 -4.605170186 0.00000000 5.8260001 0.62593843
## 1158 1.508511994 3.44273342 10.9827131 1.54968791
## 1159 1.857859271 6.67086428 0.0000000 1.41585316
## 1160 1.323088285 0.00000000 4.0253517 1.75006904
## 1161 0.582215620 0.00000000 0.0000000 1.75006904
## 1162 1.323088285 0.00000000 1.3862944 1.75006904
## 1163 1.323088285 0.00000000 9.6223838 1.75006904
## 1164 1.323088285 0.00000000 5.0369526 1.75006904
## 1165 1.323088285 0.00000000 6.4281053 1.75006904
## 1166 1.323088285 0.00000000 0.0000000 1.75006904
## 1167 1.323088285 0.00000000 5.5451774 1.75006904
## 1168 1.323088285 0.00000000 3.7612001 1.75006904
## 1169 -1.771956842 4.53644937 6.0354814 1.93296964
## 1170 -4.605170186 0.00000000 9.3821064 1.49738841
## 1171 0.604315967 5.70432267 2.9957323 2.07944154
## 1172 -0.072570693 2.95835006 10.5670772 1.44926916
## 1173 -4.605170186 1.30734057 8.5366036 0.84586827
## 1174 -3.912023005 2.93626583 7.6324011 1.02604160
## 1175 0.371563556 4.10249429 9.7127507 1.32707500
## 1176 -4.605170186 2.34420293 8.7844685 2.10413415
## 1177 -4.605170186 0.00000000 9.1676416 1.64865863
## 1178 0.518793793 3.98178759 5.7333413 1.33762919
## 1179 -4.605170186 2.35846702 9.0781795 2.05412373
## 1180 -1.966112856 2.14873785 6.6280414 1.77664583
## 1181 0.683096845 3.72102927 0.0000000 1.76473080
## 1182 -2.407945609 3.08777069 9.2918282 1.67896398
## 1183 -4.605170186 1.22232431 8.3925366 0.90421815
## 1184 0.482426149 4.08825869 4.9344739 1.35840916
## 1185 -1.237874356 5.02371945 3.2958369 2.04769284
## 1186 -4.605170186 0.00000000 9.1647152 1.68454538
## 1187 0.667829373 1.45839486 6.8308742 1.75440368
## 1188 0.095310180 2.87987556 10.5977341 1.48160454
## 1189 -4.605170186 3.10878752 8.2695008 1.01523068
## 1190 -4.605170186 2.82656487 7.8184303 2.04898233
## 1191 -4.605170186 0.00000000 9.3625463 1.69009582
## 1192 -4.605170186 3.18777958 8.4637924 0.95935022
## 1193 -4.605170186 2.40595838 6.6821086 2.17702187
## 1194 0.524728529 4.28259420 4.1743873 1.37371558
## 1195 0.559615788 6.19745765 4.3174881 1.77495235
## 1196 -0.653926467 2.95264944 0.0000000 1.58923521
## 1197 0.173953307 2.96943287 10.7610257 1.45861502
## 1198 -4.605170186 3.56909851 8.3106609 0.92028275
## 1199 -4.605170186 1.41456512 9.1843044 0.96317432
## 1200 -3.912023005 2.72759570 6.1441856 2.17361471
## 1201 0.182321557 3.30827799 10.9231107 1.43983513
## 1202 -4.605170186 0.00000000 1.0986123 1.77325600
## 1203 0.470003629 6.41658416 3.6109179 1.77325600
## 1204 0.444685821 2.73133843 3.5553481 1.45395301
## 1205 -0.040821995 0.95038225 1.0986123 1.48387469
## 1206 -4.605170186 3.63902250 10.1633101 0.98581679
## 1207 -3.912023005 0.32833042 7.1670379 2.16332303
## 1208 -1.609437912 1.44921107 8.5217826 1.74396881
## 1209 -4.605170186 0.00000000 1.9459101 1.88706965
## 1210 0.385262401 6.43125361 7.2406497 2.25339485
## 1211 0.678033543 4.58258066 1.0986123 1.52605630
## 1212 -1.237874356 5.13109561 0.6931472 1.66203036
## 1213 -4.605170186 3.74550680 8.7310134 1.02961942
## 1214 -1.609437912 3.82602710 7.9508549 1.74046617
## 1215 -3.506557897 3.69804482 8.9412838 1.22377543
## 1216 0.672944473 4.78954939 0.0000000 1.52605630
## 1217 -3.506557897 2.84325205 7.5958899 2.00552586
## 1218 0.314810740 3.55132359 11.0695248 1.44691898
## 1219 0.828551818 4.84919618 3.7841896 1.32441896
## 1220 -3.912023005 0.00000000 4.8903491 1.76473080
## 1221 -1.832581464 5.64829174 2.3978953 1.77155676
## 1222 -3.912023005 2.38969410 7.0396603 1.90657514
## 1223 -4.605170186 3.83655278 7.9807078 1.02961942
## 1224 0.463734016 1.65532297 10.6248334 1.44220199
## 1225 -3.506557897 1.36423905 7.9377318 1.20896035
## 1226 0.576613364 1.87049187 2.9957323 1.89311196
## 1227 0.741937345 2.87999833 3.4965076 1.23547147
## 1228 -4.605170186 3.74923699 7.8860814 1.04731899
## 1229 0.657520003 3.76190761 10.6977914 1.46787435
## 1230 -3.912023005 0.00000000 4.8441871 1.83736998
## 1231 -3.506557897 1.69508953 7.0290876 1.18172720
## 1232 -3.506557897 3.25323572 7.3771337 2.11986346
## 1233 0.565313809 6.98259564 0.0000000 2.23001440
## 1234 -3.506557897 0.00000000 5.5683445 2.03208785
## 1235 0.717839793 2.59457701 3.0445224 1.21491274
## 1236 -3.506557897 -0.36066062 6.7604147 1.07840958
## 1237 -4.605170186 4.03887091 7.9589265 2.24283509
## 1238 -1.272965676 5.49732885 3.0445224 1.64287269
## 1239 0.837247525 5.25607123 4.3694479 1.23256026
## 1240 -4.605170186 4.37801067 7.5953873 2.21920348
## 1241 -1.427116356 4.43820640 5.2470241 1.86097454
## 1242 -3.506557897 0.00000000 6.2878586 2.10413415
## 1243 1.018847320 4.05583930 10.3564086 1.45395301
## 1244 0.604315967 4.51239369 0.0000000 2.07065304
## 1245 1.108562620 3.03653940 4.0943446 1.18784342
## 1246 -1.309333320 4.71959562 7.7659931 1.90657514
## 1247 -1.469675970 5.66937185 2.3025851 1.55392520
## 1248 -3.218875825 4.05832634 8.3861729 1.13140211
## 1249 -4.605170186 1.95968748 8.0106915 2.06305806
## 1250 1.098612289 4.16830575 10.4232927 1.46556754
## 1251 0.652325186 6.98461775 0.0000000 2.09309787
## 1252 -4.605170186 4.13276183 8.6349762 1.15057203
## 1253 -4.605170186 7.13881968 0.0000000 2.21484618
## 1254 1.029619417 3.03345057 3.9318256 1.16627094
## 1255 -4.605170186 4.35906778 7.9327210 2.14241634
## 1256 -4.605170186 5.24035645 0.0000000 1.30833282
## 1257 -4.605170186 0.00000000 5.8051350 1.94304892
## 1258 -1.347073648 4.38934831 8.1202913 1.77325600
## 1259 -4.605170186 4.08191641 7.5938778 1.33500107
## 1260 -3.218875825 4.08864504 8.9929304 1.01523068
## 1261 1.131402111 4.17392016 9.8345661 1.47932923
## 1262 0.940007258 3.72859370 7.6530204 1.30291275
## 1263 -4.605170186 2.98520578 0.0000000 1.34286480
## 1264 -4.605170186 4.29345827 6.0637852 2.09556092
## 1265 -4.605170186 7.39424181 0.0000000 2.41233596
## 1266 -3.218875825 4.09744788 9.0766947 0.99325177
## 1267 -4.605170186 3.96707665 5.4680601 1.05779029
## 1268 0.862889955 3.75492063 7.4301141 1.25276297
## 1269 -4.605170186 5.34420874 0.0000000 1.27256560
## 1270 -4.605170186 4.13185887 7.2225660 0.95935022
## 1271 -4.605170186 0.00000000 4.5951199 1.93007109
## 1272 -4.605170186 2.34625774 5.6664267 1.03673688
## 1273 1.121677562 4.46039339 11.2843044 1.54543258
## 1274 -4.605170186 2.14282546 7.1538338 1.75785792
## 1275 -4.605170186 4.26661050 7.0509894 2.09924417
## 1276 1.323088285 0.00000000 5.9558374 1.75006904
## 1277 1.323088285 0.00000000 7.3575562 1.75006904
## 1278 1.323088285 0.00000000 0.0000000 1.75006904
## 1279 1.323088285 0.00000000 6.4216223 1.75006904
## 1280 1.323088285 0.00000000 7.3771337 1.75006904
## 1281 1.323088285 0.00000000 11.4118557 1.75006904
## 1282 1.998773639 2.47311077 3.6375862 1.87640694
## 1283 2.408745289 7.56755153 5.0238805 1.97546895
## 1284 2.137710450 4.80551461 4.0253517 2.02814825
## 1285 2.280339484 3.45017236 7.2841348 2.06812778
## 1286 -4.605170186 5.61512342 0.0000000 1.99061033
## 1287 1.297463147 4.51864822 6.4952656 1.83418019
## 1288 2.543961413 6.47603498 2.1972246 2.03601198
## 1289 1.050821625 0.00000000 3.5835189 2.14241634
## 1290 1.291983682 5.10967707 3.7612001 2.06686276
## 1291 2.503073954 7.41296216 0.0000000 2.20827441
## 1292 1.184789985 0.00000000 3.2958369 2.10169215
## 1293 2.576421759 6.47844328 2.0794415 1.96850998
## 1294 2.288486169 7.62274700 0.0000000 1.97962121
## 1295 1.348073148 4.96490369 0.0000000 1.96850998
## 1296 2.379546134 5.27965747 0.0000000 2.14826773
## 1297 -4.605170186 3.51660170 0.0000000 2.10778601
## 1298 2.154085085 7.24638391 2.4849066 2.13653051
## 1299 2.018895042 5.40495663 3.5553481 1.93007109
## 1300 1.316408234 4.64934893 2.7725887 1.84054963
## 1301 0.928219303 0.00000000 2.9444390 2.20827441
## 1302 2.594508160 2.45411675 1.7917595 1.82293509
## 1303 2.090628731 5.08071920 1.6094379 2.16561924
## 1304 -4.605170186 3.59677075 0.0000000 2.11986346
## 1305 1.745715531 7.34777667 1.9459101 2.06178661
## 1306 2.484906650 7.55171343 2.0794415 2.21375388
## 1307 2.506341931 5.43089838 4.2046926 1.98100147
## 1308 1.345472367 5.01820610 3.3322045 1.96009478
## 1309 2.228938553 7.38862059 0.0000000 2.15408508
## 1310 2.623218266 4.53985339 2.9444390 1.84845481
## 1311 2.247072383 7.66149015 0.0000000 2.15292432
## 1312 1.456286733 2.68915880 2.0794415 1.83577635
## 1313 1.902107526 7.42559193 1.3862944 2.15176220
## 1314 1.981001469 5.96550941 2.7080502 2.09556092
## 1315 2.653945942 7.73363619 2.0794415 2.25549349
## 1316 -4.605170186 6.20471592 0.0000000 2.18717424
## 1317 2.230014400 8.16600560 9.3040128 2.10046891
## 1318 2.573375298 7.01786137 3.9889840 1.88099060
## 1319 1.512927012 5.40196902 1.9459101 1.85316810
## 1320 2.257587727 5.66161392 0.0000000 2.11625551
## 1321 1.876406943 5.31476019 1.3862944 2.13534917
## 1322 0.727548607 0.00000000 2.1972246 2.15640258
## 1323 -4.605170186 4.04518761 0.0000000 2.13416644
## 1324 2.004179057 6.13709548 2.3978953 2.10900034
## 1325 1.446918983 1.24700898 3.3322045 2.24070969
## 1326 2.297572551 7.93205319 4.8040210 2.23644529
## 1327 2.410542234 7.82553061 0.0000000 2.14006616
## 1328 2.157559321 8.41322192 4.9052748 2.16447179
## 1329 2.590017134 7.94235701 1.9459101 2.30058309
## 1330 1.640936579 3.29558207 1.7917595 1.81156210
## 1331 1.857859271 7.71736716 1.7917595 2.17815501
## 1332 1.323088285 6.26778420 0.0000000 2.13534917
## 1333 2.450142657 5.11938201 0.6931472 1.93007109
## 1334 2.478217662 6.00499164 3.0910425 2.09433015
## 1335 1.517322624 3.82239459 3.1354942 2.14006616
## 1336 0.559615788 0.00000000 1.6094379 2.07317193
## 1337 1.669591835 1.19457504 4.2195077 1.76814960
## 1338 0.553885113 0.00000000 1.0986123 2.02946317
## 1339 2.242835089 5.76387570 0.0000000 2.23430625
## 1340 2.132982309 6.15950026 6.0844994 2.17702187
## 1341 2.573375298 7.96694050 0.0000000 2.26902831
## 1342 2.470638678 7.34965002 0.0000000 1.93874166
## 1343 2.506341931 7.90992204 0.0000000 2.13060983
## 1344 2.149433913 6.29494187 0.6931472 2.19611285
## 1345 1.572773928 3.64425181 2.8332133 2.11384297
## 1346 1.719188776 3.47341113 3.0910425 1.80828877
## 1347 2.402430428 6.23623788 5.5872487 2.12345843
## 1348 2.008214032 7.85511370 0.6931472 2.12345843
## 1349 2.269028309 8.19760568 0.6931472 2.24177295
## 1350 1.640936579 2.10904353 5.1119878 2.12465388
## 1351 2.530517161 7.61076010 0.0000000 2.00687085
## 1352 2.399711804 8.08847707 0.0000000 2.07693841
## 1353 0.559615788 0.00000000 0.0000000 1.93152141
## 1354 2.230014400 6.65011090 5.3033049 0.18232156
## 1355 2.531313023 5.80921373 0.0000000 2.26384426
## 1356 1.605429891 6.51991233 0.0000000 1.90805992
## 1357 2.513656063 8.20326826 0.0000000 2.29253476
## 1358 2.074429000 4.19537178 7.3883279 2.18492705
## 1359 1.724550720 3.60065102 0.0000000 1.76985463
## 1360 1.635105659 4.19035677 2.0794415 2.14943391
## 1361 1.965712776 7.88441599 0.0000000 2.09801793
## 1362 1.819698838 6.56404045 0.0000000 1.81319475
## 1363 2.287471455 6.71029277 0.0000000 2.29253476
## 1364 1.756132292 5.85236325 0.0000000 1.75613229
## 1365 2.301584593 8.52659962 3.7135721 2.25339485
## 1366 1.558144618 6.46928334 3.0910425 2.26592111
## 1367 1.981001469 8.56470952 5.8607862 2.24177295
## 1368 2.487403530 5.82038660 1.0986123 0.35065687
## 1369 0.570979547 0.00000000 1.6094379 1.90805992
## 1370 1.998773639 5.81567578 0.0000000 2.11986346
## 1371 2.206074193 5.92073467 0.6931472 2.27829240
## 1372 1.864080131 6.19375594 0.0000000 1.90210753
## 1373 2.502255288 7.67803950 0.6931472 2.10169215
## 1374 2.068127782 5.62786822 0.0000000 2.11625551
## 1375 1.663926098 3.73344062 2.3025851 1.67522565
## 1376 2.280339484 6.36085629 5.7104270 2.25758773
## 1377 2.197224577 8.06769921 5.0039463 2.21702720
## 1378 1.880990603 6.45438839 1.6094379 1.93152141
## 1379 2.505525937 8.04537987 1.6094379 0.36464311
## 1380 2.266957915 6.65213975 2.9957323 0.64185389
## 1381 1.512927012 6.44633607 3.8066625 2.25967759
## 1382 0.385262401 0.00000000 5.3798974 1.92132467
## 1383 2.493205453 5.33217187 1.9459101 2.11021320
## 1384 2.334083760 8.06699100 0.6931472 2.27212589
## 1385 1.880990603 6.50239632 1.6094379 1.93441577
## 1386 1.932969638 8.18904669 1.0986123 2.26176310
## 1387 1.680827909 6.08007529 3.3322045 1.74221902
## 1388 1.943048917 8.60147768 8.5542963 2.22678338
## 1389 2.081938422 8.06868092 3.6888795 2.27931647
## 1390 2.257587727 6.81927272 5.9135030 2.27418562
## 1391 2.263844265 8.49163306 8.2432825 2.24918432
## 1392 2.500615943 7.55661438 2.4849066 2.05412373
## 1393 2.478217662 8.04182757 0.6931472 0.53062825
## 1394 1.534714366 2.07431984 2.3025851 2.27315628
## 1395 0.148420005 0.00000000 6.5525079 1.88858365
## 1396 2.481567749 5.80349819 3.1354942 2.27624112
## 1397 2.238579763 6.61003765 0.0000000 2.29152415
## 1398 2.393339456 8.09652049 0.6931472 2.23751310
## 1399 2.037316615 5.83809013 0.0000000 2.29757255
## 1400 0.207014169 0.00000000 1.9459101 1.91102289
## 1401 1.637053079 6.02209888 2.1972246 1.72097929
## 1402 2.104134154 7.83557645 1.0986123 2.22354189
## 1403 2.013568798 8.47510058 5.9295891 2.22786155
## 1404 2.441477092 7.52386658 0.6931472 2.05412373
## 1405 1.528227857 6.54221637 3.0910425 2.29656702
## 1406 2.235376343 8.35603374 7.0934046 2.23964529
## 1407 -4.605170186 0.00000000 0.0000000 1.87180218
## 1408 2.149433913 5.92504353 0.0000000 2.29152415
## 1409 1.560247668 6.06582262 0.0000000 1.73342389
## 1410 2.254444718 5.55983003 0.0000000 2.22893855
## 1411 -4.605170186 6.56123530 0.0000000 1.86097454
## 1412 0.029558802 0.00000000 1.3862944 1.90210753
## 1413 2.214846179 6.78064930 0.0000000 0.11332869
## 1414 2.009555414 7.68850436 1.0986123 2.22570405
## 1415 1.415853163 4.32559687 0.0000000 2.24707238
## 1416 1.994700313 6.18041344 0.0000000 2.22137504
## 1417 2.496505786 7.54120490 0.0000000 2.05412373
## 1418 2.138889000 6.01518113 0.0000000 2.27726729
## 1419 1.393766376 6.59696321 8.0063676 2.25863321
## 1420 0.122217633 0.00000000 4.7535902 1.86872051
## 1421 -4.605170186 6.58759020 0.0000000 1.85941812
## 1422 2.290512512 5.60305769 0.0000000 2.25129180
## 1423 2.207174908 2.15376118 3.6109179 0.31481074
## 1424 -4.605170186 3.76093209 5.0369526 2.23001440
## 1425 2.022871190 8.48294223 0.0000000 2.22462355
## 1426 2.018895042 7.67927150 0.0000000 2.17475172
## 1427 2.347558459 3.43833027 3.9512437 2.22245905
## 1428 1.323088285 0.00000000 5.3278762 1.75006904
## 1429 1.323088285 0.00000000 5.9480350 1.75006904
## 1430 1.323088285 0.00000000 7.4247618 1.75006904
## 1431 1.323088285 0.00000000 0.0000000 1.75006904
## 1432 1.323088285 0.00000000 2.0794415 1.75006904
## 1433 1.323088285 0.00000000 5.0689042 1.75006904
## 1434 1.526056303 5.89982948 0.0000000 1.79175947
## 1435 1.323088285 0.00000000 0.0000000 1.75006904
## 1436 2.182674796 5.38528717 2.7080502 1.06125650
## 1437 0.292669614 3.62118449 8.3532615 1.46787435
## 1438 0.148420005 3.57406468 10.4703910 1.75785792
## 1439 1.987874348 3.82785431 7.2855065 2.16332303
## 1440 0.815364813 0.00000000 7.4253579 0.75612198
## 1441 1.888583654 2.27178450 9.8180930 1.60542989
## 1442 1.745715531 3.57822118 6.1506028 1.80992677
## 1443 0.779324877 0.00000000 5.8171112 1.28370777
## 1444 2.109000344 6.39986004 0.0000000 1.53039471
## 1445 1.249901736 4.80871876 0.6931472 1.57069708
## 1446 1.964311234 2.91332400 7.6473088 1.43983513
## 1447 0.292669614 4.52125321 5.2094862 1.74919985
## 1448 1.363537374 1.55193454 9.5907611 1.49962305
## 1449 0.165514438 2.62196218 5.7170277 1.90210753
## 1450 1.495148766 2.50119801 8.6956740 1.77664583
## 1451 -1.386294361 3.06930871 8.1735755 1.83736998
## 1452 -0.755022584 3.17576251 7.3639135 1.83896107
## 1453 1.526056303 5.81806705 0.0000000 1.32972401
## 1454 -2.302585093 2.59210336 9.9673540 1.80828877
## 1455 0.470003629 3.02792492 10.0462017 1.09861229
## 1456 1.623340818 0.00000000 0.0000000 2.18154676
## 1457 1.378766095 3.01532325 8.1817205 2.61227325
## 1458 1.358409158 0.00000000 9.5921274 0.97077892
## 1459 -0.127833372 2.45055824 7.4145729 1.47247206
## 1460 -2.407945609 3.55619017 0.0000000 1.26976054
## 1461 1.495148766 2.70501314 0.0000000 1.00430161
## 1462 1.972691172 3.22751175 2.3025851 1.66013103
## 1463 0.131028262 3.85381125 8.9058512 1.81807678
## 1464 -3.506557897 2.15113064 0.0000000 1.66013103
## 1465 -0.186329578 -0.30660619 6.6707663 1.48839958
## 1466 1.323088285 0.00000000 0.0000000 1.75006904
## 1467 -1.771956842 0.79569751 9.3320269 1.24126859
## 1468 0.683096845 0.00000000 9.0218398 0.37156356
## 1469 2.222459049 3.11270503 12.2652044 1.04380405
## 1470 -4.605170186 0.00000000 8.2852611 1.75006904
## 1471 1.238374231 0.00000000 8.6532963 1.79175947
## 1472 1.743968805 -0.94609610 6.7979404 1.47704872
## 1473 1.998773639 5.90060552 7.0613344 2.11745961
## 1474 1.337629189 5.01557963 0.0000000 1.64673370
## 1475 -2.207274913 0.59764333 11.0220332 1.96009478
## 1476 0.048790164 3.75099275 9.1438800 1.64287269
## 1477 2.228938553 5.21329353 8.5426660 1.17248214
## 1478 1.627277831 5.32694313 6.0306853 1.82131827
## 1479 1.905088155 4.96716905 3.8918203 1.63119940
## 1480 1.477048724 4.25071235 0.0000000 1.35325451
## 1481 0.488580015 1.34745032 9.3329119 1.53039471
## 1482 -1.203972804 3.29117382 10.1229443 1.93152141
## 1483 1.623340818 5.28717530 7.1996783 0.57661336
## 1484 1.613429934 1.34579226 0.0000000 0.24686008
## 1485 1.701105101 5.72669378 0.0000000 1.74571553
## 1486 0.810930216 0.00000000 4.5951199 1.31103188
## 1487 -0.162518929 0.17077817 7.7689560 1.44926916
## 1488 0.254642218 3.81407415 8.6757342 1.54543258
## 1489 -0.051293294 4.52718589 4.3694479 1.68082791
## 1490 0.832909123 0.00000000 7.6741529 0.89199804
## 1491 -0.673344553 1.48066904 8.4038005 1.85473427
## 1492 1.517322624 3.13990577 8.3366301 1.57897870
## 1493 0.418710335 3.51610687 7.9505024 1.37371558
## 1494 2.358019800 3.29495693 10.7902053 1.98237983
## 1495 2.259677592 2.76196910 12.0323560 1.17865500
## 1496 0.936093359 -0.14074768 4.8362819 1.68639895
## 1497 -0.494296322 1.72162658 5.3181200 1.37371558
## 1498 -4.605170186 0.00000000 8.1806009 1.75006904
## 1499 0.398776120 3.24102131 9.5086656 1.26976054
## 1500 -2.525728644 2.98150202 0.0000000 1.05082162
## 1501 0.737164066 3.63297342 8.8657352 1.72988407
## 1502 0.641853886 0.00000000 8.9961566 0.98207847
## 1503 -4.605170186 3.35975870 7.2427979 1.46787435
## 1504 1.323088285 0.00000000 0.0000000 1.75006904
## 1505 1.147402453 0.00000000 8.6638876 1.57897870
## 1506 -1.078809661 1.80240613 10.1181553 1.60542989
## 1507 -0.051293294 0.71714437 7.5137092 1.45628673
## 1508 -1.771956842 2.99061467 8.9103158 1.29472717
## 1509 2.056684555 0.67598973 7.9149830 1.43031125
## 1510 1.420695788 5.91250713 0.0000000 1.44456327
## 1511 1.951608170 5.84797401 6.9498565 2.18605128
## 1512 -2.302585093 2.86717291 10.3604059 1.87946505
## 1513 1.036736885 3.17963350 9.3880681 1.28923265
## 1514 1.081805170 1.26259264 0.0000000 1.93296964
## 1515 1.488399584 0.00000000 5.7170277 1.87640694
## 1516 2.411439498 6.33214254 0.0000000 1.43746265
## 1517 1.521698998 3.98352425 7.2779386 1.58103844
## 1518 1.788420568 2.26799470 6.9236286 1.63899671
## 1519 1.627277831 5.31680682 7.1530516 1.81969884
## 1520 0.891998039 3.98978892 10.1280701 1.93585981
## 1521 -0.105360516 3.86128143 9.2868383 1.66581825
## 1522 1.510721939 1.16176448 7.4639366 1.66013103
## 1523 0.904218151 3.20508588 5.6970935 1.76473080
## 1524 1.214912744 0.00000000 8.5430559 1.27815220
## 1525 0.095310180 1.35722459 4.5217886 1.57277393
## 1526 1.340250423 5.04476143 0.0000000 1.64287269
## 1527 -0.223143551 2.38181448 8.1113280 1.55392520
## 1528 1.757857918 3.92793207 0.0000000 0.19062036
## 1529 1.451613827 2.34414624 4.8751973 1.69193913
## 1530 1.857859271 1.84530137 1.9459101 1.86717611
## 1531 0.936093359 0.00000000 7.9330798 0.89608802
## 1532 1.141033005 0.00000000 8.6796521 1.49738841
## 1533 -2.525728644 3.38163987 0.0000000 1.22082992
## 1534 0.207014169 3.70100940 7.3702306 1.45161383
## 1535 -1.021651248 1.11175593 8.8924740 2.11986346
## 1536 0.506817602 3.48849804 6.6411822 1.51292701
## 1537 0.000000000 0.69073573 5.8944028 1.54756251
## 1538 0.470003629 1.20490376 9.4164598 1.30833282
## 1539 1.708377860 4.87551885 3.6109179 1.64093658
## 1540 -0.186329578 -0.35221038 6.1312265 1.43508453
## 1541 -3.912023005 1.41419906 6.7833252 1.66959184
## 1542 0.732367894 0.00000000 3.4657359 1.32175584
## 1543 2.343727036 0.98987491 10.8171950 2.05155634
## 1544 0.615185639 0.00000000 10.3243666 0.95165788
## 1545 -4.605170186 0.00000000 9.1652384 1.75006904
## 1546 1.323088285 0.00000000 0.0000000 1.75006904
## 1547 0.385262401 3.45297225 6.8437499 1.42551507
## 1548 1.793424749 5.45868051 3.1780538 0.91629073
## 1549 -0.634878272 1.30195190 6.5750758 1.84371921
## 1550 -1.021651248 3.90671120 9.8082974 1.72276660
## 1551 0.770108222 3.70931842 8.8755667 1.86408013
## 1552 1.896119485 3.50564332 6.9697907 1.84687877
## 1553 1.401182974 0.00000000 6.9057533 1.87487438
## 1554 1.249901736 3.58166976 7.0867379 1.48387469
## 1555 1.764730797 1.87874168 5.4116461 1.65822808
## 1556 0.688134639 1.66787700 0.0000000 1.96431123
## 1557 1.406096988 6.01072600 6.6554404 1.42310833
## 1558 -0.235722334 2.39534832 5.4293456 1.53471437
## 1559 -0.616186139 1.89618732 5.4467374 1.83258146
## 1560 0.425267735 3.43702624 7.5699277 1.13783300
## 1561 1.935859813 6.25220514 5.4971682 2.11142459
## 1562 1.403642999 3.65363386 6.3733198 2.45873378
## 1563 0.770108222 0.92707850 7.0544497 1.72633166
## 1564 1.534714366 4.21418848 6.8012830 1.60341984
## 1565 1.437462648 2.27813350 4.9558271 1.23547147
## 1566 1.521698998 3.72832881 7.9882036 1.72455072
## 1567 2.002830439 6.73710771 0.0000000 1.53471437
## 1568 0.300104592 2.18962100 5.3798974 1.53255687
## 1569 0.896088025 0.00000000 8.2193261 0.95935022
## 1570 1.964311234 5.73587353 2.8903718 0.80200159
## 1571 0.398776120 3.57940066 4.1743873 1.49290410
## 1572 1.731655545 1.03642637 5.8579332 1.74221902
## 1573 0.850150929 0.00000000 7.4223737 1.52605630
## 1574 0.604315967 0.00000000 9.9967957 1.16315081
## 1575 1.663926098 5.68581249 5.5683445 1.87487438
## 1576 1.877937165 4.45930522 0.0000000 2.40874529
## 1577 0.019802627 1.09726466 5.6869754 1.60943791
## 1578 0.398776120 3.83116418 6.4800446 1.46093790
## 1579 1.425515074 5.34274804 0.0000000 1.60943791
## 1580 -4.605170186 0.00000000 9.0188166 1.75006904
## 1581 -1.714798428 0.87348371 7.8228453 1.23837423
## 1582 0.019802627 4.54470898 3.6109179 1.82776991
## 1583 1.706564623 5.70167066 4.0775374 1.53686722
## 1584 2.277267285 3.40769319 11.8583433 1.50407740
## 1585 -1.347073648 3.80866290 0.0000000 1.29472717
## 1586 0.518793793 3.75013671 10.2715277 1.85473427
## 1587 1.137833002 0.00000000 8.4701016 1.53686722
## 1588 1.323088285 0.00000000 0.0000000 1.75006904
## 1589 1.261297871 2.18231143 3.3672958 1.54968791
## 1590 2.068127782 2.56057409 0.0000000 1.42791604
## 1591 2.095560924 6.09464157 4.1431347 1.18172720
## 1592 1.568615918 5.90885662 1.3862944 1.86717611
## 1593 1.940179474 6.43301052 6.7214257 2.07065304
## 1594 -2.207274913 3.03789022 11.0517944 1.88858365
## 1595 1.909542505 3.46372331 5.9558374 1.83098018
## 1596 1.472472057 0.00000000 3.4339872 1.96431123
## 1597 1.425515074 6.23321392 3.3322045 1.45628673
## 1598 0.104360015 4.06278223 7.0175061 2.05668455
## 1599 1.754403683 2.19872277 0.0000000 2.29656702
## 1600 0.587786665 4.21823658 3.4339872 1.94017947
## 1601 0.947789399 0.00000000 8.1673520 0.94000726
## 1602 -0.713349888 4.04509213 5.1474945 1.83736998
## 1603 0.920282753 0.00000000 0.0000000 1.47017585
## 1604 1.444563269 2.88249123 1.3862944 2.17133681
## 1605 0.947789399 2.60490911 8.1679194 1.68824909
## 1606 0.378436436 3.97476791 4.0943446 1.37624403
## 1607 2.291524146 3.60021469 4.9487599 2.18605128
## 1608 1.337629189 0.00000000 7.2577077 1.41098697
## 1609 -0.150822890 0.41009602 4.2904594 1.44220199
## 1610 0.900161350 2.12463615 3.5553481 1.99197552
## 1611 -1.078809661 2.94075391 2.3025851 1.14422280
## 1612 0.431782416 3.84121326 9.1480393 1.77664583
## 1613 -1.078809661 4.28199236 9.2422266 1.74396881
## 1614 1.383791231 3.65129564 1.9459101 2.45616418
## 1615 0.139761942 2.37362872 5.5683445 1.51732262
## 1616 1.432700734 5.48122090 0.0000000 1.72276660
## 1617 1.754403683 3.62270163 0.0000000 1.77155676
## 1618 0.364643114 0.00000000 10.7129500 1.20597081
## 1619 1.323088285 0.00000000 0.0000000 1.75006904
## 1620 1.837369980 3.79656014 3.6375862 0.87546874
## 1621 2.278292400 4.04700062 10.3584093 1.46556754
## 1622 -1.049822124 4.18999352 3.4339872 1.73695123
## 1623 1.124929597 0.00000000 8.1507565 1.65632150
## 1624 -1.309333320 1.97576166 0.0000000 1.37624403
## 1625 0.009950331 1.38377330 4.1108739 1.72276660
## 1626 1.711994501 0.55815240 0.0000000 2.28645571
## 1627 1.587192303 6.12625776 1.3862944 1.99061033
## 1628 1.947337701 3.67494956 4.8598124 1.92132467
## 1629 -1.560647748 0.09500648 4.5951199 1.03673688
## 1630 2.162172939 6.56430267 6.4216223 2.05027016
## 1631 1.617406082 4.58691916 5.5529596 1.41098697
## 1632 1.371180723 6.17362652 1.9459101 1.49738841
## 1633 2.043814364 5.86715848 0.0000000 1.01523068
## 1634 1.342864803 3.73978474 3.3672958 2.50552594
## 1635 1.615419984 4.29090813 6.4052285 1.55814462
## 1636 0.357674444 0.00000000 12.1144233 1.14422280
## 1637 0.122217633 1.96107984 5.3471075 1.55392520
## 1638 1.662030363 2.38083358 0.0000000 0.33647224
## 1639 -0.010050336 2.89245466 5.8777358 1.43508453
## 1640 0.039220713 1.73530200 5.2149358 2.10413415
## 1641 0.067658648 1.62229273 2.9444390 1.08856195
## 1642 1.131402111 3.09546809 0.0000000 1.74396881
## 1643 1.585145220 2.17133559 5.5333895 1.92716411
## 1644 -0.597837001 4.09787352 3.4965076 1.84687877
## 1645 0.845868268 4.80303147 3.8066625 2.02287119
## 1646 1.432700734 3.10890417 2.0794415 2.12823171
## 1647 1.449269160 1.20890571 0.0000000 1.58103844
## 1648 0.815364813 0.00000000 0.0000000 1.60341984
## 1649 0.405465108 4.36578594 6.0753460 1.50629715
## 1650 -2.207274913 1.32221319 7.6884554 1.96711236
## 1651 1.851599470 6.44546989 1.6094379 1.72633166
## 1652 1.625311262 5.91933770 0.0000000 1.91692261
## 1653 0.598836501 3.67773698 5.0304379 1.47247206
## 1654 -4.605170186 4.00954656 4.8441871 1.43746265
## 1655 2.273156282 1.85883427 11.6166276 1.41342303
## 1656 -0.328504067 3.51891707 0.0000000 1.66770682
## 1657 0.708035793 0.00000000 4.9836066 0.88376754
## 1658 0.207014169 4.20966215 9.4412934 1.92716411
## 1659 1.134622726 0.00000000 4.7449321 1.68454538
## 1660 -4.605170186 0.00000000 0.0000000 1.75006904
## 1661 0.131028262 3.60064213 3.6375862 1.64287269
## 1662 1.323088285 0.00000000 0.0000000 1.75006904
## 1663 0.405465108 3.71166976 6.1548581 1.45628673
## 1664 2.311544834 3.79607643 3.0910425 2.23644529
## 1665 0.207014169 2.54185860 5.6970935 1.97546895
## 1666 -1.108662625 4.56473615 0.0000000 1.67709656
## 1667 -1.427116356 4.24803147 6.8156400 1.46325540
## 1668 1.972691172 2.49040543 0.0000000 0.48858001
## 1669 1.316408234 6.21936575 1.0986123 1.47704872
## 1670 1.504077397 3.05631705 6.6644090 2.44147709
## 1671 0.425267735 0.00000000 11.2913182 1.22082992
## 1672 1.864080131 4.33491772 1.7917595 1.59533899
## 1673 1.764730797 3.22234533 6.6398758 1.51292701
## 1674 1.928618652 4.36271896 6.2025355 0.18232156
## 1675 1.169381360 3.06962144 0.0000000 1.76985463
## 1676 0.165514438 1.92381553 0.0000000 2.19611285
## 1677 0.959350221 4.26487150 0.0000000 1.96290773
## 1678 2.140066163 6.59595199 4.3944492 2.02419307
## 1679 1.697448790 3.85204604 0.0000000 2.05923883
## 1680 1.323088285 0.00000000 0.0000000 1.75006904
## 1681 1.398716881 2.75996826 2.9957323 0.64185389
## 1682 -2.207274913 3.77096463 4.0775374 2.00012773
## 1683 2.283402274 3.92866406 8.6545174 2.28848617
## 1684 1.985130862 6.71852745 0.0000000 0.75612198
## 1685 0.810930216 0.62057850 6.1290502 1.80992677
## 1686 -1.832581464 2.34025978 1.3862944 1.16315081
## 1687 1.075002423 0.00000000 0.0000000 1.70837786
## 1688 0.974559640 0.00000000 2.3978953 1.76985463
## 1689 -4.605170186 0.00000000 1.9459101 1.75006904
## 1690 1.553925203 4.16262999 4.8283137 1.88403475
## 1691 1.597365331 6.12939272 1.0986123 1.97408103
## 1692 0.198850859 3.09962022 7.2800083 1.49738841
## 1693 0.810930216 0.00000000 4.8362819 0.86288996
## 1694 -0.385662481 3.64854442 0.6931472 1.63119940
## 1695 2.080690761 3.70222002 4.4998097 1.05779029
## 1696 0.314810740 1.82874191 3.2580965 1.71559811
## 1697 1.710187816 6.08011680 0.0000000 1.91839212
## 1698 -4.605170186 4.02174465 3.0910425 1.16627094
## 1699 1.446918983 3.27530652 0.0000000 1.63119940
## 1700 -0.634878272 4.21522217 4.8520303 1.88099060
## 1701 0.173953307 4.32960501 5.1704840 1.55814462
## 1702 0.182321557 4.07067403 5.2094862 1.87333946
## 1703 0.565313809 3.96278939 7.5213180 1.44456327
## 1704 -1.078809661 2.34470795 1.0986123 1.69377906
## 1705 2.267993648 2.33773930 6.5567784 1.29746315
## 1706 -0.030459207 2.36110847 4.8520303 1.19392247
## 1707 1.848454813 5.21938965 6.9216582 1.21787571
## 1708 2.266957915 1.79218066 8.2364205 2.27829240
## 1709 0.223143551 1.15731306 1.7917595 1.66770682
## 1710 1.175573330 6.36735386 2.5649494 1.44456327
## 1711 1.091923301 3.43622103 0.0000000 1.80828877
## 1712 -1.660731207 0.33620558 1.0986123 1.33500107
## 1713 -0.867500568 1.78556089 6.0890449 1.20896035
## 1714 1.826160896 6.23947396 0.0000000 1.54968791
## 1715 0.732367894 2.38430168 6.2822667 1.47476301
## 1716 1.323088285 0.00000000 0.0000000 1.75006904
## 1717 1.420695788 3.91076185 0.0000000 2.00687085
## 1718 0.029558802 3.98806286 5.5872487 1.65822808
## 1719 1.663926098 5.84488761 0.0000000 1.45861502
## 1720 0.207014169 2.43570412 4.0073332 1.19088756
## 1721 0.165514438 1.45149939 4.9628446 2.23108909
## 1722 0.947789399 0.00000000 1.6094379 1.84845481
## 1723 1.481604541 0.00000000 8.9523465 1.55180880
## 1724 1.355835154 3.39499707 5.4889377 1.49738841
## 1725 2.094330154 6.82053389 0.0000000 1.19392247
## 1726 -0.342490309 4.01512718 0.0000000 1.60542989
## 1727 0.058268908 3.41656267 7.2765564 1.54543258
## 1728 0.314810740 -0.39203134 2.0794415 1.71379793
## 1729 1.350667183 3.81927350 0.0000000 0.11332869
## 1730 -0.798507696 3.03825460 3.1780538 2.04381436
## 1731 -2.302585093 3.57820757 5.6419071 1.93730177
## 1732 1.633154439 4.12891333 3.0445224 1.94448056
## 1733 0.113328685 2.01394490 5.8318825 1.51512723
## 1734 1.693779061 2.02325378 4.6051702 1.56024767
## 1735 -1.139434283 2.11735767 2.3978953 1.55180880
## 1736 -0.597837001 4.40477224 0.6931472 1.94161522
## 1737 -1.832581464 2.20691505 0.0000000 1.59533899
## 1738 -3.912023005 1.99524448 2.3978953 1.26412673
## 1739 0.678033543 4.09156760 7.3238306 1.56861592
## 1740 0.405465108 4.09515837 3.8918203 1.48160454
## 1741 0.970778917 0.00000000 0.0000000 1.75093747
## 1742 1.880990603 6.16722837 0.0000000 1.71379793
## 1743 1.837369980 4.08682193 0.0000000 1.96711236
## 1744 1.425515074 5.88782722 0.0000000 1.37624403
## 1745 -1.560647748 2.97986213 4.4886364 1.16627094
## 1746 0.737164066 0.00000000 9.4303590 1.49514877
## 1747 0.576613364 5.08147047 4.4067192 1.57897870
## 1748 -1.272965676 0.08464522 1.7917595 1.59736533
## 1749 1.472472057 4.14085572 0.0000000 1.73342389
## 1750 -0.385662481 1.86388827 1.0986123 1.50407740
## 1751 -0.562118918 4.62635788 4.5849675 1.90805992
## 1752 0.751416089 5.03486195 4.9416424 1.58309394
## 1753 2.230014400 4.65957374 9.2063324 1.38629436
## 1754 -0.713349888 2.46519048 0.0000000 1.30562646
## 1755 1.465567542 2.77222315 5.1532916 2.06178661
## 1756 1.269760545 3.03703873 0.0000000 1.60140574
## 1757 1.011600912 4.52020393 0.0000000 2.18041746
## 1758 1.845300236 6.55372346 0.0000000 0.97077892
## 1759 0.970778917 3.34292934 2.4849066 1.87180218
## 1760 0.989541194 0.00000000 2.4849066 1.82616090
## 1761 0.418710335 4.20977484 2.4849066 1.45861502
## 1762 1.504077397 4.68026684 5.9788858 1.91250109
## 1763 -0.713349888 5.14614848 4.9628446 2.14006616
## 1764 -2.120263536 3.69829392 7.1831117 1.91102289
## 1765 0.246860078 2.03017647 6.8330317 1.43508453
## 1766 0.947789399 0.00000000 0.6931472 1.06471074
## 1767 0.239016900 4.30871413 2.9957323 0.53062825
## 1768 1.026041596 0.00000000 0.0000000 1.78339122
## 1769 -0.798507696 3.89369573 4.1431347 1.07158362
## 1770 -3.912023005 4.12329862 1.3862944 1.17248214
## 1771 0.536493371 4.10289706 7.1561766 1.36097655
## 1772 1.583093937 6.02346285 0.0000000 2.10291390
## 1773 2.281361457 4.28840578 7.1846292 2.20827441
## 1774 1.774952351 4.22985552 6.2045578 1.64480506
## 1775 1.955860480 5.52110164 5.5797298 1.34547237
## 1776 1.235471471 0.00000000 8.1353469 1.43746265
## 1777 1.363537374 1.68261522 3.7841896 0.25464222
## 1778 1.854734268 -0.41318427 1.7917595 2.03601198
## 1779 1.011600912 4.64741012 0.0000000 2.28238239
## 1780 1.597365331 4.32049237 0.0000000 0.97077892
## 1781 2.156402583 3.95720405 0.0000000 1.23256026
## 1782 1.323088285 0.00000000 0.0000000 1.75006904
## 1783 -2.207274913 1.73437840 6.6858609 1.94304892
## 1784 1.589235205 3.86317834 3.2580965 2.13534917
## 1785 -0.094310679 4.26501535 0.0000000 1.54756251
## 1786 -1.714798428 3.21276260 5.5759491 1.34807315
## 1787 -0.527632742 4.43834068 7.9858247 1.92424865
## 1788 1.492904096 5.82888013 0.0000000 1.44456327
## 1789 2.075684493 4.74553405 4.3567088 1.67147330
## 1790 1.398716881 0.70827944 5.7203118 1.94017947
## 1791 0.165514438 3.68266441 4.0943446 1.69193913
## 1792 0.157003749 3.98478152 7.0698741 1.48387469
## 1793 -1.203972804 0.16337459 6.9067548 1.57069708
## 1794 2.028148247 6.66262007 8.6753928 2.12704052
## 1795 -0.755022584 1.60601213 5.1059455 1.19694819
## 1796 1.534714366 0.03924101 6.7487595 1.83418019
## 1797 1.961502244 2.21545898 1.6094379 1.97408103
## 1798 1.071583616 0.00000000 5.2094862 1.85785927
## 1799 -0.713349888 5.17765798 3.8712010 2.12465388
## 1800 -0.462035460 0.45435698 4.4067192 1.19392247
## 1801 1.095273387 0.00000000 0.0000000 1.76644166
## 1802 -1.771956842 4.04286747 0.0000000 1.34025042
## 1803 -4.605170186 0.00000000 2.5649494 1.75006904
## 1804 -4.605170186 2.41099482 5.7745515 1.33236602
## 1805 2.264883226 4.46642924 7.3783837 2.13179677
## 1806 0.565313809 3.42500847 4.6151205 1.64287269
## 1807 1.947337701 5.36093028 7.9398716 1.47476301
## 1808 2.202764758 2.67880310 7.1483457 1.44456327
## 1809 0.756121980 0.00000000 4.0430513 1.72455072
## 1810 0.148420005 2.06876869 3.0445224 0.16551444
## 1811 0.620576488 1.96667190 7.1049654 1.42791604
## 1812 1.040276712 6.43652879 2.7080502 1.60341984
## 1813 1.515127233 4.39621361 10.8989221 2.00283044
## 1814 1.244154594 0.00000000 0.0000000 0.81977983
## 1815 0.832909123 4.96890933 3.2580965 1.55392520
## 1816 1.321755840 1.72136745 1.7917595 2.66653352
## 1817 1.378766095 3.90876022 3.4339872 2.57489969
## 1818 0.148420005 4.26287693 7.2868764 1.49514877
## 1819 1.418277407 2.41019096 0.0000000 1.89461685
## 1820 0.936093359 3.85290322 0.0000000 1.91839212
## 1821 0.996948635 5.04258993 7.8192345 0.62593843
## 1822 1.816452082 4.61411749 5.4806389 1.66392610
## 1823 -2.120263536 1.77219610 5.9188939 1.85002838
## 1824 1.247032294 0.00000000 0.6931472 1.74919985
## 1825 -0.040821995 1.74805027 7.7497534 1.68268837
## 1826 1.873339456 2.80289501 0.0000000 1.27815220
## 1827 1.425515074 3.43855340 6.2045578 2.17702187
## 1828 -4.605170186 0.00000000 4.7449321 1.75006904
## 1829 -0.820980552 5.23375756 1.9459101 2.17928688
## 1830 0.029558802 4.33865480 0.0000000 1.58103844
## 1831 1.985130862 6.94590391 9.4334039 2.14006616
## 1832 0.285178942 4.54602912 5.9712618 1.59938758
## 1833 2.025513200 6.57863090 8.0513409 2.06559613
## 1834 1.790091412 6.30451949 6.7487595 1.72988407
## 1835 0.512823626 3.77238367 0.6931472 1.36097655
## 1836 0.076961041 2.27500887 11.6844557 0.40546511
## 1837 0.904218151 5.21691700 9.6648496 1.48387469
## 1838 2.305580602 4.75533835 7.1800699 2.41591378
## 1839 -0.494296322 2.85401880 3.9318256 1.17557333
## 1840 2.054123734 5.25569031 7.0817086 1.22082992
## 1841 -1.272965676 0.01987298 6.0591232 1.53039471
## 1842 2.186051277 4.89127417 9.0467621 1.24415459
## 1843 0.524728529 5.27802518 6.4630295 1.67335124
## 1844 1.081805170 -2.22510592 2.4849066 1.66581825
## 1845 -0.510825624 2.26026034 7.4494980 1.84845481
## 1846 0.190620360 3.73675145 4.7874917 1.68082791
## 1847 1.261297871 0.00000000 1.3862944 0.82855182
## 1848 -0.693147181 3.77444433 5.2678582 1.08180517
## 1849 1.650579856 3.97609731 9.1794687 1.68082791
## 1850 2.295560478 7.08397209 0.0000000 1.34547237
## 1851 -4.605170186 2.12262971 7.1639467 1.18784342
## 1852 1.515127233 4.50490978 7.8284364 1.96990565
## 1853 1.719188776 4.14377463 0.0000000 1.65632150
## 1854 0.593326845 0.00000000 8.5954497 1.48160454
## 1855 1.147402453 0.00000000 6.0890449 1.84371921
## 1856 1.166270937 3.97608317 3.2580965 1.90210753
## 1857 1.345472367 1.67666984 6.9930151 0.27763174
## 1858 2.069391206 4.15555311 4.7957905 2.06812778
## 1859 1.291983682 3.73553697 7.6962126 2.47401421
## 1860 0.364643114 3.66567698 5.2311086 1.65057986
## 1861 2.059238834 2.06638605 4.3694479 2.17247641
## 1862 -0.030459207 4.36690883 0.0000000 1.44456327
## 1863 2.186051277 4.89426901 0.6931472 1.13783300
## 1864 0.871293366 5.27722269 5.1474945 2.46725171
## 1865 2.274185618 7.02240055 0.0000000 1.21787571
## 1866 0.506817602 4.06953047 6.5206211 1.31640823
## 1867 1.750937475 6.50571871 2.0794415 1.65822808
## 1868 -0.061875404 3.70883353 5.1761497 1.82937633
## 1869 1.141033005 0.00000000 6.4425402 1.85941812
## 1870 1.425515074 1.27981665 4.8598124 2.14943391
## 1871 1.822935087 4.42101550 6.2225763 1.37624403
## 1872 0.207014169 2.62294062 3.2580965 2.45702145
## 1873 0.336472237 4.70287170 6.0544393 1.68082791
## 1874 0.277631737 4.21620304 8.0879476 1.87946505
## 1875 2.169053700 5.23416980 9.8438968 1.30562646
## 1876 0.598836501 0.00000000 11.8041164 1.26129787
## 1877 1.506297154 4.44917030 6.7569324 1.64287269
## 1878 1.226712291 0.00000000 0.0000000 1.83098018
## 1879 1.648658626 6.60083479 0.0000000 2.15292432
## 1880 -0.478035801 3.04356575 3.8712010 1.28093385
## 1881 2.086913557 5.48018629 7.2786289 1.21787571
## 1882 -1.514127733 3.74371773 2.3978953 1.55392520
## 1883 -0.579818495 4.21601176 9.0653146 1.15373159
## 1884 -4.605170186 4.37294281 5.4553211 1.05431203
## 1885 1.998773639 4.81829035 4.5217886 2.15292432
## 1886 1.340250423 0.00000000 5.7525726 1.02604160
## 1887 1.329724010 4.00124043 7.5310163 2.48323859
## 1888 1.791759469 4.15497750 0.0000000 1.84213568
## 1889 2.324346585 4.54856669 8.1053075 2.29253476
## 1890 1.323088285 0.00000000 7.1356873 1.75006904
## 1891 1.272565596 3.70015746 0.0000000 1.69744879
## 1892 0.494696242 5.41708635 4.7874917 1.57069708
## 1893 0.587786665 4.69779662 7.7811385 1.65441128
## 1894 2.121063216 2.20547593 3.4339872 2.04251819
## 1895 1.738710248 2.01428968 0.0000000 1.69377906
## 1896 -4.605170186 6.68069585 4.4543473 2.10900034
## 1897 0.173953307 3.91021882 4.9767337 1.71918878
## 1898 -4.605170186 5.12476663 5.1873858 2.41054223
## 1899 -4.605170186 1.99399370 4.9487599 1.28647403
## 1900 0.593326845 5.03842535 0.0000000 1.70292826
## 1901 -4.605170186 3.39300323 5.6058021 1.80992677
## 1902 1.175573330 0.00000000 4.9199809 1.81482474
## 1903 -4.605170186 3.72810689 5.4722707 1.63119940
## 1904 -0.653926467 5.38087650 6.5638555 2.19165353
## 1905 1.806648082 4.52831437 0.0000000 1.90061387
## 1906 -4.605170186 3.87325961 3.7612001 0.17395331
## 1907 -4.605170186 4.13491365 3.5553481 1.21194097
## 1908 -4.605170186 0.00000000 0.0000000 1.81156210
## 1909 -4.605170186 4.41604948 2.3978953 2.53369681
## 1910 2.109000344 5.54565594 8.4024555 1.19392247
## 1911 -4.605170186 4.22768581 6.4118183 1.46787435
## 1912 2.144761008 5.32163648 8.7713702 1.19392247
## 1913 -4.605170186 5.02321865 7.3858511 1.56653041
## 1914 -4.605170186 4.53138347 7.6143121 2.02551320
## 1915 1.381281819 0.00000000 7.4193806 1.74396881
## 1916 -4.605170186 0.00000000 5.5606816 1.38128182
## 1917 0.609765572 4.46390049 8.3772412 1.75267208
## 1918 -4.605170186 2.55213480 1.9459101 1.83577635
## 1919 -4.605170186 3.51330181 0.0000000 1.52822786
## 1920 -0.478035801 4.05740860 4.7874917 1.09861229
## 1921 -4.605170186 4.57002561 5.8318825 1.86717611
## 1922 -4.605170186 4.36169746 0.0000000 1.96150224
## 1923 1.558144618 4.36653061 8.9040869 1.67335124
## 1924 -4.605170186 2.28279808 5.6629605 1.58103844
## 1925 -4.605170186 0.00000000 5.2678582 1.09192330
## 1926 1.998773639 6.99389154 3.4657359 2.17361471
## 1927 -4.605170186 6.57957532 0.0000000 2.17019590
## 1928 -4.605170186 -0.05284569 0.0000000 1.78507048
## 1929 -1.272965676 2.32303404 3.8286414 1.46093790
## 1930 2.475697711 7.31349544 7.0817086 1.38629436
## 1931 -4.605170186 2.27979500 4.3174881 2.03861955
## 1932 -4.605170186 1.46900985 1.7917595 1.68454538
## 1933 0.609765572 5.11156901 5.2470241 1.71739505
## 1934 -4.605170186 5.03268582 6.2461068 2.45958884
## 1935 -4.605170186 5.30161243 0.0000000 2.27829240
## 1936 -4.605170186 0.00000000 11.3894123 1.35840916
## 1937 2.091864062 3.58236752 9.0505237 1.44926916
## 1938 1.147402453 0.00000000 3.8712010 1.75958057
## 1939 -4.605170186 3.95848028 6.3902407 1.34025042
## 1940 -4.605170186 4.47058730 6.4567697 1.52388002
## 1941 -0.139262067 4.37586802 1.7917595 1.42310833
## 1942 -4.605170186 3.45006476 7.1098795 1.77495235
## 1943 -4.605170186 7.32756550 0.0000000 1.27536280
## 1944 -4.605170186 3.88630452 6.3350543 1.63315444
## 1945 0.620576488 2.11785448 8.5665546 1.64673370
## 1946 -0.446287103 4.33760213 5.4205350 1.22964055
## 1947 -4.605170186 4.50823457 8.9718293 2.01089500
## 1948 -4.605170186 3.60715525 5.3981627 1.88403475
## 1949 1.534714366 4.48830375 5.9269260 1.77664583
## 1950 -4.605170186 0.00000000 0.0000000 1.87026253
## 1951 -4.605170186 2.18383322 4.1271344 1.28923265
## 1952 0.148420005 1.76015502 2.0794415 1.77495235
## 1953 1.323088285 3.85956124 6.2633983 0.96317432
## 1954 1.854734268 2.36712742 0.0000000 1.92861865
## 1955 -4.605170186 0.11137255 0.0000000 1.76473080
## 1956 -4.605170186 4.14438635 6.6333184 1.45628673
## 1957 -4.605170186 6.82161730 0.0000000 1.57277393
## 1958 -4.605170186 3.35581564 5.7651911 1.53255687
## 1959 2.372111156 5.05235780 5.7714411 1.31640823
## 1960 -4.605170186 2.10421189 0.0000000 1.81482474
## 1961 -4.605170186 4.02233064 0.0000000 0.67294447
## 1962 -0.634878272 5.43564596 3.3322045 2.21266039
## 1963 -1.347073648 2.47135963 2.8332133 1.50629715
## 1964 -4.605170186 2.46052059 2.8332133 2.03992078
## 1965 2.116255515 5.26890549 10.8752508 1.30833282
## 1966 -4.605170186 0.00000000 3.8066625 1.13140211
## 1967 1.435084525 0.00000000 5.2203558 1.71739505
## 1968 -4.605170186 0.00000000 8.0624328 1.75006904
## 1969 -4.605170186 0.27874027 2.7080502 2.45014266
## 1970 -4.605170186 5.78576135 0.0000000 1.45628673
## 1971 -4.605170186 1.19514593 7.0405364 1.76130026
## 1972 -4.605170186 4.50116506 6.6669568 1.52388002
## 1973 -4.605170186 6.62193583 6.1675165 2.18941639
## 1974 -4.605170186 5.08838498 0.0000000 0.48242615
## 1975 -4.605170186 6.49647660 0.0000000 1.68824909
## 1976 -4.605170186 0.00000000 10.4255795 1.46556754
## 1977 1.871802177 2.38163610 0.0000000 1.86252854
## 1978 -4.605170186 0.00000000 3.9120230 1.74396881
## 1979 -4.605170186 4.08576535 1.0986123 2.43185743
## 1980 -4.605170186 2.02152071 2.3025851 2.01889504
## 1981 1.323088285 3.83025897 6.0890449 1.00795792
## 1982 -4.605170186 3.91323298 0.0000000 1.72097929
## 1983 -4.605170186 3.97855285 5.3471075 1.43508453
## 1984 -4.605170186 2.12660413 5.8377304 1.60140574
## 1985 -4.605170186 2.65096484 5.7493930 1.97685495
## 1986 -4.605170186 4.58167580 4.8202816 1.26976054
## 1987 -4.605170186 3.71968967 0.0000000 2.02022218
## 1988 -4.605170186 5.28151488 2.1972246 1.60743591
## 1989 -4.605170186 4.00572452 2.1972246 1.94304892
## 1990 -4.605170186 6.35330776 0.0000000 2.22462355
## 1991 -4.605170186 3.92355159 5.1647860 1.72988407
## 1992 -4.605170186 5.41934303 0.0000000 2.12226154
## 1993 -4.605170186 0.36692270 6.9137374 2.47653840
## 1994 -4.605170186 4.74735032 0.0000000 1.57069708
## 1995 -1.347073648 2.54985800 3.4657359 1.53901545
## 1996 -4.605170186 4.30225060 0.0000000 1.90954250
## 1997 -0.967584026 3.20813824 0.0000000 0.45107562
## 1998 -4.605170186 3.99588554 3.5263605 0.33647224
## 1999 -4.605170186 4.49934354 9.4524234 1.58514522
## 2000 -4.605170186 4.39354502 2.6390573 1.32707500
## 2001 -4.605170186 5.57295638 8.8327336 1.30019166
## 2002 -4.605170186 6.02592453 0.0000000 1.56024767
## 2003 -4.605170186 2.42498561 7.1507015 1.28647403
## 2004 -4.605170186 0.00000000 4.2626799 1.63899671
## 2005 -4.605170186 0.00000000 0.0000000 1.99333884
## 2006 1.323088285 0.00000000 1.0986123 1.75006904
## 2007 1.323088285 0.00000000 4.0073332 1.75006904
## 2008 1.323088285 0.00000000 0.0000000 1.75006904
## 2009 1.323088285 0.00000000 0.0000000 1.75006904
## 2010 1.323088285 0.00000000 9.4273049 1.75006904
## 2011 1.323088285 0.00000000 0.0000000 1.75006904
## 2012 1.323088285 0.00000000 6.7776466 1.75006904
## 2013 1.323088285 0.00000000 5.3565863 1.75006904
## 2014 1.323088285 0.00000000 3.2958369 1.75006904
## 2015 1.323088285 0.00000000 0.0000000 1.75006904
## 2016 1.323088285 0.00000000 5.4930614 1.75006904
## 2017 1.323088285 0.00000000 0.0000000 1.75006904
## 2018 1.323088285 0.00000000 4.1743873 1.75006904
## 2019 1.323088285 0.00000000 0.0000000 1.75006904
## 2020 1.323088285 0.00000000 4.5538769 1.75006904
## 2021 1.323088285 0.00000000 3.4011974 1.75006904
## 2022 1.323088285 0.00000000 0.0000000 1.75006904
## 2023 1.323088285 0.00000000 2.1972246 1.75006904
## 2024 1.323088285 0.00000000 5.0304379 1.75006904
## 2025 1.323088285 0.00000000 6.4085288 1.75006904
## 2026 1.323088285 0.00000000 4.3694479 1.75006904
## 2027 1.323088285 0.00000000 5.0106353 1.75006904
## 2028 1.323088285 0.00000000 7.5005295 1.75006904
## 2029 1.323088285 0.00000000 0.0000000 1.75006904
## 2030 1.323088285 0.00000000 6.1696107 1.75006904
## 2031 1.323088285 0.00000000 6.9660242 1.75006904
## 2032 1.323088285 0.00000000 8.9222582 1.75006904
## 2033 1.323088285 0.00000000 0.0000000 1.75006904
## 2034 1.323088285 0.00000000 3.8501476 1.75006904
## 2035 1.323088285 0.00000000 2.1972246 1.75006904
## 2036 1.323088285 0.00000000 2.8332133 1.75006904
## 2037 1.323088285 0.00000000 6.0354814 1.75006904
## 2038 1.323088285 0.00000000 4.7706846 1.75006904
## 2039 1.323088285 0.00000000 0.0000000 1.75006904
## 2040 1.323088285 0.00000000 0.0000000 1.75006904
## 2041 1.323088285 0.00000000 0.0000000 1.75006904
## 2042 1.323088285 0.00000000 5.3706380 1.75006904
## 2043 1.323088285 0.00000000 3.1354942 1.75006904
## 2044 1.323088285 0.00000000 5.2882670 1.75006904
## 2045 0.343589704 4.40339019 4.9836066 1.59330853
## 2046 2.257587727 6.85730667 0.0000000 1.75267208
## 2047 0.431782416 6.04333487 9.6954789 1.59938758
## 2048 -1.609437912 0.00000000 6.5875500 1.75006904
## 2049 -0.693147181 7.35198405 3.8286414 0.77932488
## 2050 -0.430782916 3.55804803 5.3471075 1.54115907
## 2051 0.494696242 5.57199797 4.2341065 0.86710049
## 2052 -2.995732274 6.66208487 0.0000000 1.44456327
## 2053 0.815364813 6.00237467 1.6094379 0.62057649
## 2054 1.064710737 3.48909435 2.7080502 1.83258146
## 2055 -4.605170186 6.86685605 1.7917595 0.92028275
## 2056 1.187843422 3.86738210 3.9120230 1.93730177
## 2057 -0.967584026 4.14101462 2.7080502 1.30833282
## 2058 -2.659260037 0.00000000 0.0000000 1.42069579
## 2059 0.765467842 5.12233804 1.7917595 1.25561604
## 2060 0.254642218 4.53796947 5.6698809 1.59330853
## 2061 0.512823626 5.49615916 3.4011974 0.90825856
## 2062 -1.771956842 0.00000000 8.3158111 1.75006904
## 2063 0.667829373 7.04788069 1.6094379 1.33500107
## 2064 0.928219303 3.10338983 2.9444390 2.02946317
## 2065 -4.605170186 4.72915426 0.0000000 1.28370777
## 2066 -0.597837001 5.51623715 4.1108739 2.29253476
## 2067 -2.995732274 6.56596225 5.0434251 1.50185270
## 2068 -0.597837001 6.33601579 2.7080502 1.33500107
## 2069 -2.525728644 0.00000000 6.1841489 1.46787435
## 2070 0.398776120 5.54687200 10.3257770 1.64093658
## 2071 2.318458442 4.61322386 0.0000000 1.75440368
## 2072 1.050821625 3.97394053 4.2341065 1.78170913
## 2073 -0.274436846 5.13608930 3.1354942 0.94000726
## 2074 0.904218151 7.43908669 0.6931472 2.01356880
## 2075 0.688134639 4.66749063 2.0794415 1.35840916
## 2076 0.683096845 4.25038030 3.5835189 0.40546511
## 2077 0.223143551 4.51856129 6.2878586 1.59736533
## 2078 -4.605170186 7.09811159 0.0000000 1.26976054
## 2079 -2.995732274 6.53393020 5.7397929 1.45395301
## 2080 0.542324291 7.86282156 3.9702919 1.00063188
## 2081 -1.897119985 0.00000000 0.0000000 1.75006904
## 2082 1.000631880 4.10360460 5.2933048 2.16561924
## 2083 -0.139262067 5.24004342 3.5263605 0.99694863
## 2084 -0.597837001 3.67205209 8.3786205 1.49738841
## 2085 1.050821625 4.04617103 3.6888795 1.68639895
## 2086 -3.506557897 5.06896629 0.0000000 1.17248214
## 2087 -0.616186139 5.43277750 4.3307333 2.21375388
## 2088 0.254642218 4.55130930 6.6858609 1.63315444
## 2089 0.841567186 7.45689106 4.8202816 2.00687085
## 2090 0.770108222 7.10213564 2.4849066 1.31908561
## 2091 0.553885113 5.62467373 3.7376696 0.97455964
## 2092 0.783901544 6.26894033 6.2653012 2.23001440
## 2093 2.362739016 5.06707070 0.0000000 1.92132467
## 2094 0.350656872 6.12929268 8.6731708 1.67522565
## 2095 -2.995732274 6.72427570 7.0967214 1.43508453
## 2096 0.000000000 8.30646533 3.1780538 1.42069579
## 2097 1.108562620 1.99354225 1.3862944 1.71559811
## 2098 -0.597837001 3.74749999 7.5898415 1.88099060
## 2099 1.211940974 4.25620619 5.3752784 2.13888900
## 2100 -3.218875825 0.00000000 9.0520478 1.60943791
## 2101 -0.579818495 4.18443376 0.0000000 1.15373159
## 2102 -3.912023005 7.45649703 3.1354942 1.01523068
## 2103 -2.813410717 6.70500181 7.5390271 1.27536280
## 2104 0.104360015 8.31010601 3.3672958 1.28370777
## 2105 0.300104592 0.12466311 9.0968357 1.68082791
## 2106 1.319085611 1.96467088 8.8315659 2.14358936
## 2107 -0.616186139 3.48201628 3.0445224 2.25129180
## 2108 2.567254391 7.36942690 0.0000000 1.85941812
## 2109 -0.478035801 2.15139062 6.7178047 2.06939121
## 2110 0.741937345 6.42707321 5.3612922 2.18717424
## 2111 1.337629189 4.58231987 7.4860526 1.70474809
## 2112 0.770108222 7.23000405 2.3978953 1.21491274
## 2113 -0.494296322 4.25515338 2.8903718 1.09192330
## 2114 0.570979547 7.99714136 3.0910425 0.90016135
## 2115 -0.083381609 4.75581697 5.9269260 1.41342303
## 2116 -1.714798428 4.08072645 6.8112444 1.41827741
## 2117 0.254642218 6.72497987 8.7323046 1.69561561
## 2118 -0.314710745 4.39800863 7.1212525 2.06178661
## 2119 -0.597837001 3.31209374 3.3322045 2.18380156
## 2120 1.547562509 2.24547231 7.2122945 2.15176220
## 2121 0.879626748 5.52519128 0.6931472 2.00687085
## 2122 -0.462035460 6.74994475 3.2188758 0.95165788
## 2123 1.446918983 3.00658459 7.7323692 1.65822808
## 2124 -3.218875825 0.00000000 8.7459211 1.52169900
## 2125 -4.605170186 5.47886710 2.3025851 0.86710049
## 2126 -2.995732274 7.01844489 5.9215784 1.22964055
## 2127 0.717839793 7.34824574 1.3862944 1.15057203
## 2128 0.582215620 8.13953399 3.3672958 0.84156719
## 2129 -0.162518929 4.65997770 5.4026774 1.81969884
## 2130 0.254642218 4.63980131 3.5263605 1.75958057
## 2131 -0.527632742 5.74736099 0.0000000 2.17475172
## 2132 0.246860078 6.10612114 4.9698133 0.94778940
## 2133 -3.506557897 4.32092218 6.1612073 1.09861229
## 2134 2.439734931 7.43887843 0.0000000 1.83736998
## 2135 1.821318271 4.70151464 5.8111410 2.12704052
## 2136 -3.218875825 0.00000000 8.9970234 1.57277393
## 2137 -4.605170186 7.80116391 0.0000000 0.81093022
## 2138 1.388791241 5.49935958 4.9199809 1.52169900
## 2139 0.802001585 3.51411546 2.1972246 1.99877364
## 2140 0.542324291 2.18682976 5.9215784 2.18605128
## 2141 -2.995732274 0.00000000 2.5649494 1.59330853
## 2142 -1.966112856 4.98880302 5.4380793 1.30562646
## 2143 0.215111380 3.78838678 5.8888780 0.83724752
## 2144 0.231111721 4.74996389 1.0986123 1.85629799
## 2145 0.019802627 5.17054485 0.0000000 1.62924054
## 2146 2.447550863 7.57994737 0.0000000 1.87180218
## 2147 0.524728529 8.23202987 0.0000000 0.94390590
## 2148 0.845868268 1.46904914 6.2897156 1.99741771
## 2149 -0.562118918 4.48244172 3.1780538 0.88789126
## 2150 -3.506557897 7.84592643 0.0000000 0.75612198
## 2151 0.693147181 5.62891625 1.9459101 1.33500107
## 2152 -0.186329578 2.88933577 5.9989366 1.31372367
## 2153 1.383791231 3.79711034 0.0000000 1.46093790
## 2154 -3.506557897 7.63935016 0.0000000 0.65752000
## 2155 0.165514438 5.32914533 1.6094379 1.47476301
## 2156 0.314810740 8.60961617 0.0000000 0.62593843
## 2157 0.693147181 5.44478673 0.6931472 1.15373159
## 2158 0.620576488 8.29502631 4.0073332 1.07500242
## 2159 0.329303747 3.12116237 0.0000000 1.90210753
## 2160 1.969905655 5.02231724 4.0253517 2.19611285
## 2161 -0.562118918 4.81296966 2.8903718 0.74193734
## 2162 -2.407945609 2.74127016 5.0625950 1.05431203
## 2163 2.485739636 5.47914194 0.0000000 1.93007109
## 2164 -0.223143551 0.00000000 2.9444390 1.22377543
## 2165 0.904218151 6.15603220 6.8362593 1.99197552
## 2166 0.482426149 2.09683608 3.0910425 2.00417906
## 2167 -0.527632742 6.50540242 0.0000000 2.25549349
## 2168 2.379546134 5.43917618 0.0000000 2.00148000
## 2169 0.336472237 4.67234544 1.3862944 1.91692261
## 2170 0.104360015 8.21302782 4.7184989 0.96698385
## 2171 0.936093359 6.23178875 1.6094379 2.00955541
## 2172 0.741937345 3.11290995 0.0000000 1.76644166
## 2173 1.896119485 2.91946823 3.1354942 0.17395331
## 2174 -3.506557897 0.00000000 4.8675345 1.67147330
## 2175 1.376244025 5.30422760 0.0000000 1.51512723
## 2176 -1.609437912 5.22379153 10.3198267 1.53686722
## 2177 0.548121409 5.67813048 0.0000000 1.50407740
## 2178 -2.407945609 4.77003017 4.4067192 1.58923521
## 2179 -0.210721031 0.00000000 3.0910425 1.26694760
## 2180 0.667829373 5.80794657 1.0986123 1.33236602
## 2181 2.426571073 5.64661239 2.8903718 1.97823904
## 2182 0.148420005 3.63147511 5.6869754 1.06471074
## 2183 -0.673344553 6.57363954 0.0000000 2.13060983
## 2184 -2.407945609 7.08836398 5.8111410 1.24990174
## 2185 0.398776120 3.48989051 1.9459101 1.72455072
## 2186 1.979621206 5.26875088 3.0910425 0.40546511
## 2187 -4.605170186 7.60567884 2.5649494 1.01523068
## 2188 0.457424847 6.69133363 2.4849066 1.97269117
## 2189 0.657520003 5.58638541 0.0000000 1.29198368
## 2190 1.442201993 5.41307896 0.6931472 1.51732262
## 2191 0.966983846 6.01471937 3.1354942 1.99605993
## 2192 -0.579818495 4.86156339 1.0986123 1.00795792
## 2193 0.524728529 5.73031429 4.4659081 1.36863943
## 2194 2.369308725 7.80111511 0.0000000 2.02022218
## 2195 -2.407945609 5.15661301 5.8916442 1.27256560
## 2196 0.425267735 7.15138951 4.7095302 1.66581825
## 2197 -0.843970070 4.23216597 0.0000000 2.12704052
## 2198 0.451075619 6.72750679 2.1972246 1.96290773
## 2199 -0.616186139 5.06434717 1.6094379 0.91228271
## 2200 -0.274436846 0.00000000 2.5649494 1.17248214
## 2201 1.408544970 5.56450655 0.0000000 1.31103188
## 2202 0.982078472 8.24095515 4.2484952 2.00012773
## 2203 0.548121409 5.96042525 0.0000000 1.30833282
## 2204 0.506817602 5.28712228 0.0000000 1.22377543
## 2205 2.096790180 5.29304730 4.1588831 2.23857976
## 2206 -3.218875825 0.00000000 7.8920784 1.68639895
## 2207 -1.771956842 5.65290918 2.7080502 1.19996478
## 2208 -0.891598119 4.21511145 1.0986123 2.07944154
## 2209 2.042518188 5.06422410 3.4339872 2.14826773
## 2210 0.425267735 5.01829047 2.1972246 1.94448056
## 2211 -3.218875825 0.00000000 7.6857031 1.74571553
## 2212 -4.605170186 6.06300004 2.7080502 1.66013103
## 2213 1.358409158 5.61368525 0.0000000 1.49962305
## 2214 -2.407945609 5.28005579 5.6835798 1.35066718
## 2215 0.530628251 7.70129777 0.0000000 1.47476301
## 2216 -0.673344553 6.96208767 2.5649494 0.92425890
## 2217 2.356125860 7.67775063 0.0000000 2.00687085
## 2218 -4.605170186 5.65462861 0.0000000 1.68082791
## 2219 -4.605170186 7.99225984 3.2958369 0.94390590
## 2220 0.254642218 2.67801047 7.4736371 1.89160480
## 2221 0.343589704 5.23720781 8.9099107 1.68268837
## 2222 1.776645831 5.19505855 8.9710674 1.98100147
## 2223 -4.605170186 7.93475612 4.1271344 0.94000726
## 2224 -0.776528789 7.05176339 0.0000000 1.01523068
## 2225 -2.407945609 7.62418584 7.0596176 1.44691898
## 2226 0.760805829 5.61913736 5.0998664 1.71199450
## 2227 -4.605170186 0.00000000 6.6066502 1.17865500
## 2228 2.201659174 5.35699150 0.0000000 2.00955541
## 2229 0.598836501 5.93277797 0.0000000 1.24990174
## 2230 0.500775288 1.37843757 0.0000000 1.54543258
## 2231 1.332366019 5.63274853 2.3025851 1.51512723
## 2232 -4.605170186 6.10338488 6.5057841 1.77833645
## 2233 -0.891598119 4.15698209 2.9957323 2.00821403
## 2234 -4.605170186 5.33418725 2.3025851 1.99741771
## 2235 0.371563556 5.20350314 6.3368257 1.68824909
## 2236 0.277631737 4.94433263 4.7184989 1.85473427
## 2237 0.963174318 8.37754836 1.7917595 2.05540496
## 2238 -4.605170186 0.00000000 6.7031881 1.72988407
## 2239 -4.605170186 7.81637545 4.0073332 1.22377543
## 2240 1.363537374 5.68903667 2.5649494 1.49962305
## 2241 0.451075619 5.90605827 3.8286414 1.60542989
## 2242 1.323088285 0.00000000 0.0000000 1.75006904
## 2243 1.323088285 0.00000000 5.8493248 1.75006904
## 2244 1.323088285 0.00000000 3.4965076 1.75006904
## 2245 1.323088285 0.00000000 5.8348107 1.75006904
## 2246 1.323088285 0.00000000 7.2675254 1.75006904
## 2247 1.323088285 0.00000000 2.8903718 1.75006904
## 2248 1.323088285 0.00000000 5.3890717 1.75006904
## 2249 1.323088285 0.00000000 4.3820266 1.75006904
## 2250 1.323088285 0.00000000 0.0000000 1.75006904
## 2251 1.323088285 0.00000000 2.8903718 1.75006904
## 2252 1.323088285 0.00000000 0.0000000 1.75006904
## 2253 1.323088285 0.00000000 3.8066625 1.75006904
## 2254 1.323088285 0.00000000 6.0661081 1.75006904
## 2255 1.323088285 0.00000000 6.1484683 1.75006904
## 2256 2.421256623 8.67155791 0.0000000 2.29354435
## 2257 2.558002205 8.35197416 0.0000000 0.09531018
## 2258 2.575661013 9.01749933 0.0000000 2.01223279
## 2259 2.612273246 8.13455098 9.2103404 2.27931647
## 2260 2.416806237 5.66020827 0.0000000 2.09433015
## 2261 2.580216830 8.17680082 0.0000000 0.47000363
## 2262 2.522523513 8.30835616 8.7035068 0.13976194
## 2263 2.517696473 8.18391338 0.0000000 0.11332869
## 2264 2.297572551 8.02437629 0.0000000 2.05284086
## 2265 2.556451817 8.97174513 0.0000000 2.00148000
## 2266 2.408745289 8.77622053 6.5510803 0.24686008
## 2267 2.398803951 7.98731230 4.4188406 2.11504997
## 2268 2.631169157 8.14647295 0.0000000 2.29152415
## 2269 2.558002205 6.81400079 0.0000000 2.11263451
## 2270 2.525728644 8.28880032 0.0000000 0.23901690
## 2271 2.384165080 8.83253350 0.0000000 0.47623418
## 2272 2.623218266 8.23738809 8.5535251 0.19885086
## 2273 2.505525937 6.08017565 8.4461267 0.33647224
## 2274 2.270061901 8.14763477 1.0986123 2.12106322
## 2275 2.423031246 6.22911470 3.7841896 2.23001440
## 2276 2.257587727 8.40572772 1.3862944 2.13534917
## 2277 2.601948670 8.42780269 0.0000000 0.35767444
## 2278 2.501435952 6.22343081 4.4998097 0.39204209
## 2279 2.489064660 8.54879038 4.1108739 2.23216263
## 2280 2.578700529 8.57380692 8.4002098 0.42526774
## 2281 2.519308077 9.42319533 0.0000000 2.10413415
## 2282 2.257587727 8.55065325 2.3978953 2.14241634
## 2283 2.470638678 8.67289263 4.7957905 0.31481074
## 2284 2.356125860 9.15857755 3.6635616 0.67294447
## 2285 2.501435952 8.60368299 3.5835189 0.47000363
## 2286 2.507157259 8.53074386 3.2580965 2.22354189
## 2287 2.471483629 7.20507577 0.0000000 2.07317193
## 2288 2.517696473 8.69827866 2.1972246 0.42526774
## 2289 2.317473705 9.21586009 4.0943446 0.62057649
## 2290 2.271094426 8.79141125 1.3862944 2.26176310
## 2291 2.457021446 8.70166674 6.6567265 0.41871033
## 2292 2.483238593 9.63857694 2.0794415 2.04769284
## 2293 2.281361457 9.02929924 0.0000000 2.23644529
## 2294 2.517696473 8.64646411 3.6888795 0.42526774
## 2295 2.396075436 8.62680051 2.7080502 2.21593729
## 2296 2.464703942 8.76523007 7.7437033 0.29266961
## 2297 2.517696473 4.24748035 3.1354942 0.30010459
## 2298 2.326301620 9.26842831 0.0000000 0.32930375
## 2299 2.254444718 9.17882213 2.3025851 2.23644529
## 2300 2.345644582 9.38364929 6.9226439 0.19062036
## 2301 2.525728644 8.91648789 2.9957323 0.33647224
## 2302 2.463853241 5.58744082 0.0000000 1.91692261
## 2303 2.327277706 6.46202442 4.1588831 2.22462355
## 2304 2.442347035 8.95899747 6.3403593 0.16551444
## 2305 2.501435952 4.17033521 3.6635616 0.37156356
## 2306 2.476538400 8.85406334 6.4035742 0.45107562
## 2307 2.331172550 7.64216701 7.6118424 0.25464222
## 2308 2.430098413 9.02223387 6.8211075 0.32930375
## 2309 2.444952334 9.85015790 0.0000000 1.99333884
## 2310 2.263844265 9.29407523 4.6913479 2.25863321
## 2311 2.435366204 7.62676175 0.0000000 2.09309787
## 2312 2.222459049 4.57325206 2.7080502 0.25464222
## 2313 2.307572635 6.51016556 3.4965076 0.32930375
## 2314 2.417697900 8.94131918 6.3526294 2.43361336
## 2315 2.317473705 9.59661083 6.8648478 2.39789527
## 2316 2.468099531 8.76644998 7.3401868 2.42303125
## 2317 2.493205453 8.91236939 3.9512437 2.41323161
## 2318 2.233235015 6.94275695 2.7080502 0.39204209
## 2319 2.459588842 4.28771762 8.5267474 2.41591378
## 2320 2.415913778 6.76825265 7.3821244 0.65752000
## 2321 2.192770227 6.95403777 3.9318256 0.42526774
## 2322 2.442347035 9.74264533 1.7917595 1.99333884
## 2323 2.488234440 9.02066868 4.2195077 0.66268797
## 2324 2.313525033 6.57022411 6.3561077 0.35065687
## 2325 2.468099531 6.52783957 9.6123997 2.42745408
## 2326 2.202764758 7.05846298 2.3025851 2.40694511
## 2327 2.506341931 8.97187661 3.5835189 2.41323161
## 2328 2.288486169 9.81898193 4.1108739 2.45014266
## 2329 2.414126468 6.73329870 5.1119878 0.68813464
## 2330 2.310553263 6.49899560 4.6913479 0.43178242
## 2331 2.442347035 6.62191066 0.0000000 2.43711599
## 2332 2.428336298 7.73393842 0.6931472 1.97129938
## 2333 2.465553921 6.55444518 3.6635616 0.45107562
## 2334 2.392425797 6.79780419 7.4792996 2.41233596
## 2335 -4.605170186 0.00000000 0.0000000 1.45861502
## 2336 2.469793012 4.50628877 0.0000000 2.41054223
## 2337 2.161021529 7.29643388 7.8754993 2.43361336
## 2338 2.399711804 9.64961107 0.0000000 1.96009478
## 2339 2.533696814 8.87673288 4.2484952 0.46373402
## 2340 2.400618833 6.84774653 6.0935698 2.42480273
## 2341 -4.605170186 7.30767410 4.9416424 0.64185389
## 2342 2.442347035 8.81576737 5.5872487 2.44581926
## 2343 2.408745289 9.69616580 0.0000000 1.93730177
## 2344 2.511223958 9.03003999 4.7621739 2.41680624
## 2345 2.262804223 9.87713904 3.1354942 2.45616418
## 2346 1.323088285 0.00000000 7.8095413 1.75006904
## 2347 1.323088285 0.00000000 5.0562458 1.75006904
## 2348 1.323088285 0.00000000 3.5553481 1.75006904
## 2349 1.323088285 0.00000000 0.0000000 1.75006904
## 2350 1.323088285 0.00000000 3.8501476 1.75006904
## lPopulation lHIV.AIDS lGDP
## 1 15.165582 -2.30258509 10.870909
## 2 9.860215 -2.30258509 12.938844
## 3 9.873698 -2.30258509 12.846950
## 4 15.171475 -2.30258509 10.894366
## 5 15.188846 -2.30258509 11.106880
## 6 12.188489 -2.30258509 12.888637
## 7 12.200829 -2.30258509 13.055666
## 8 15.208582 -2.30258509 11.387940
## 9 9.965241 -2.30258509 13.328825
## 10 15.223444 -2.30258509 11.551232
## 11 15.234732 -2.30258509 11.650250
## 12 10.083640 -2.30258509 13.452664
## 13 15.246922 -2.30258509 11.622130
## 14 10.202814 -2.30258509 13.525717
## 15 10.249769 -2.30258509 13.658865
## 16 12.266660 -2.30258509 13.870105
## 17 15.274730 -2.30258509 11.706632
## 18 15.285847 -2.30258509 11.894904
## 19 12.316827 -2.30258509 14.151055
## 20 15.293472 -2.30258509 12.033450
## 21 15.298954 -2.30258509 12.079415
## 22 16.939119 -2.30258509 14.252248
## 23 15.306638 -2.30258509 12.159542
## 24 16.956094 -2.30258509 14.271226
## 25 15.323248 -2.30258509 12.212616
## 26 15.343608 -2.30258509 12.089898
## 27 16.984748 -2.30258509 14.116925
## 28 14.758980 -2.30258509 7.222566
## 29 15.323166 -2.30258509 7.974189
## 30 16.515772 -2.30258509 9.814219
## 31 13.340092 -1.20397280 6.758095
## 32 16.514072 -2.30258509 10.005728
## 33 15.660357 -1.20397280 6.985642
## 34 10.728715 -2.30258509 8.170469
## 35 14.730378 -1.60943791 9.341456
## 36 14.742617 -1.60943791 9.178643
## 37 8.436417 -2.30258509 8.403352
## 38 15.679232 -1.20397280 7.107425
## 39 14.754253 -1.20397280 9.223651
## 40 15.098180 -2.30258509 7.559559
## 41 11.917844 -2.30258509 10.336373
## 42 15.353612 -2.30258509 8.695674
## 43 14.533209 -2.30258509 7.701652
## 44 15.719533 -1.20397280 7.638198
## 45 13.067692 -2.30258509 8.830251
## 46 14.229595 -2.30258509 10.672484
## 47 15.740369 -1.20397280 7.745868
## 48 11.522871 -2.30258509 7.949444
## 49 14.789627 -0.91629073 9.760252
## 50 8.930230 -1.20397280 7.948032
## 51 11.943954 -2.30258509 11.302254
## 52 10.781349 -2.30258509 9.237664
## 53 13.096301 -2.30258509 9.446519
## 54 15.155698 -2.30258509 8.243546
## 55 16.555330 -2.30258509 11.560286
## 56 10.198691 -1.20397280 10.012835
## 57 15.782956 -1.20397280 8.221479
## 58 10.215667 -1.20397280 10.293805
## 59 9.659759 -2.30258509 11.801422
## 60 12.857168 -1.60943791 8.544808
## 61 13.514038 -1.20397280 8.548886
## 62 15.412018 -2.30258509 9.866409
## 63 12.039256 -2.30258509 11.655371
## 64 12.317044 -2.30258509 8.453188
## 65 8.664751 -2.30258509 9.914131
## 66 15.826783 -1.60943791 8.512984
## 67 12.562432 -1.60943791 10.815087
## 68 10.980553 -2.30258509 10.024953
## 69 15.871677 -1.60943791 8.783090
## 70 12.912697 -1.60943791 8.731982
## 71 12.589272 -2.30258509 11.005079
## 72 13.156689 -2.30258509 10.283053
## 73 12.017125 -2.30258509 12.168506
## 74 14.925294 -2.30258509 8.795582
## 75 15.477131 -2.30258509 10.467778
## 76 16.636379 -2.30258509 12.245289
## 77 13.591819 -1.60943791 8.940236
## 78 12.603993 -2.30258509 11.120135
## 79 14.059658 -2.30258509 8.900413
## 80 15.495645 -2.30258509 10.576381
## 81 10.386901 -2.30258509 11.200677
## 82 14.366676 -2.30258509 12.374274
## 83 10.534147 -2.30258509 11.300289
## 84 15.939297 -1.60943791 9.117457
## 85 16.665594 -2.30258509 12.307799
## 86 15.514102 -2.30258509 10.681068
## 87 15.749130 -2.30258509 8.918383
## 88 12.653923 -2.30258509 11.364379
## 89 14.048719 -2.30258509 14.007231
## 90 14.048719 -2.30258509 13.264174
## 91 11.750705 -2.30258509 15.418600
## 92 14.699186 -2.30258509 7.145196
## 93 11.753398 -2.30258509 14.107733
## 94 11.753115 -2.30258509 15.291351
## 95 11.753398 -2.30258509 13.213403
## 96 11.755440 -2.30258509 13.349096
## 97 14.709007 -2.30258509 7.242082
## 98 11.755440 -2.30258509 15.246502
## 99 14.719440 -2.30258509 7.374629
## 100 9.463742 -2.30258509 14.322497
## 101 11.757580 -2.30258509 9.951420
## 102 11.772787 -2.30258509 13.583800
## 103 11.772787 -2.30258509 9.951420
## 104 11.757917 -2.30258509 15.403340
## 105 14.730533 -2.30258509 7.596894
## 106 11.758011 -2.30258509 13.748196
## 107 14.742324 -2.30258509 7.833204
## 108 11.758011 -2.30258509 15.390661
## 109 11.758011 -2.30258509 9.951420
## 110 11.758644 -2.30258509 15.341928
## 111 12.452198 -2.30258509 8.135640
## 112 11.758644 -2.30258509 13.867360
## 113 9.481283 -2.30258509 14.827882
## 114 11.758644 -2.30258509 9.951420
## 115 12.465228 -2.30258509 9.951420
## 116 12.465228 -2.30258509 8.351139
## 117 12.465228 -2.30258509 13.974746
## 118 14.096663 -2.30258509 13.861763
## 119 9.462110 -2.30258509 15.446060
## 120 14.096663 -2.30258509 15.340335
## 121 14.096663 -2.30258509 9.951420
## 122 14.781784 -2.30258509 8.634621
## 123 9.460866 -2.30258509 15.481233
## 124 11.799051 -2.30258509 9.951420
## 125 14.796948 -2.30258509 8.430327
## 126 7.160069 -2.30258509 15.566287
## 127 11.803915 -2.30258509 13.949755
## 128 12.510851 -2.30258509 8.880307
## 129 11.803915 -2.30258509 9.951420
## 130 11.803915 -2.30258509 15.621697
## 131 11.808672 -2.30258509 14.041283
## 132 11.758480 -2.30258509 15.645392
## 133 11.808672 -2.30258509 15.837263
## 134 14.831290 -2.30258509 9.250522
## 135 11.818165 -2.30258509 14.060844
## 136 11.818165 -2.30258509 9.951420
## 137 11.756883 -2.30258509 15.651664
## 138 11.818165 -2.30258509 15.959356
## 139 14.850198 -2.30258509 9.416785
## 140 11.755440 -2.30258509 15.466537
## 141 11.818482 -2.30258509 14.130783
## 142 11.818482 -2.30258509 9.951420
## 143 11.754113 -2.30258509 15.404132
## 144 11.823545 -2.30258509 14.210581
## 145 14.888428 -2.30258509 9.411402
## 146 11.823545 -2.30258509 16.164562
## 147 11.828626 -2.30258509 9.951420
## 148 11.828626 -2.30258509 16.218988
## 149 14.906385 -2.30258509 9.360483
## 150 11.828626 -2.30258509 14.198075
## 151 11.753052 -2.30258509 15.307275
## 152 16.143282 -2.30258509 11.032112
## 153 17.459880 -2.30258509 12.056528
## 154 11.711539 -2.30258509 10.762530
## 155 18.803195 -1.60943791 12.467321
## 156 16.609678 -2.30258509 7.160846
## 157 17.710913 -0.35667494 10.385142
## 158 16.609678 -2.30258509 10.283396
## 159 13.813469 -2.30258509 9.452266
## 160 13.613605 -2.30258509 9.491451
## 161 16.926488 -2.30258509 10.525515
## 162 16.496373 -1.20397280 12.633306
## 163 14.609949 -2.30258509 10.606461
## 164 15.743651 -2.30258509 7.300473
## 165 16.110925 -2.30258509 9.421816
## 166 16.139525 -2.30258509 11.124435
## 167 17.700858 -0.22314355 10.579234
## 168 11.397986 -2.30258509 9.559799
## 169 15.157037 -2.30258509 12.159531
## 170 13.987425 -2.30258509 10.892099
## 171 15.743651 -2.30258509 10.334588
## 172 14.913599 -2.30258509 7.415777
## 173 14.913599 -2.30258509 10.471582
## 174 16.137596 -2.30258509 11.316862
## 175 10.783633 -0.10536052 10.690944
## 176 16.104559 -2.30258509 9.588434
## 177 15.156641 -2.30258509 12.201412
## 178 14.591847 -2.30258509 10.737830
## 179 16.097561 -2.30258509 9.788357
## 180 15.380222 -0.10536052 10.859191
## 181 16.137310 -2.30258509 11.513825
## 182 13.937332 -2.30258509 11.353754
## 183 15.988674 -2.30258509 10.756199
## 184 16.887015 -2.30258509 10.964848
## 185 15.866466 -2.30258509 9.959159
## 186 18.789816 -0.91629073 12.972347
## 187 15.988674 -2.30258509 7.591357
## 188 12.854372 -2.30258509 12.291466
## 189 13.788289 -2.30258509 10.049404
## 190 13.556333 -2.30258509 10.171910
## 191 14.184833 -1.20397280 13.289600
## 192 11.671176 -2.30258509 11.553309
## 193 14.006090 -2.30258509 10.958444
## 194 14.006090 -2.30258509 7.862497
## 195 16.881317 -2.30258509 11.224897
## 196 13.070051 0.00000000 11.115726
## 197 17.457881 -2.30258509 12.449438
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## 1419 10.481841 -2.30258509 9.828710
## 1420 12.965391 -2.30258509 9.338030
## 1421 11.037805 -2.30258509 8.432506
## 1422 9.558318 -2.30258509 12.345408
## 1423 13.478044 -2.30258509 10.759221
## 1424 15.352137 -2.30258509 14.131650
## 1425 13.428250 -2.30258509 14.586549
## 1426 14.453363 -2.30258509 12.369288
## 1427 10.173438 -2.30258509 10.819718
## 1428 10.654054 -2.30258509 10.836773
## 1429 13.586579 -2.30258509 10.587998
## 1430 15.078496 -2.30258509 9.705280
## 1431 12.116602 -2.30258509 12.184256
## 1432 11.819498 -2.30258509 12.203038
## 1433 13.420365 -2.30258509 14.423447
## 1434 10.270662 -2.30258509 9.340228
## 1435 12.975889 -2.30258509 9.216819
## 1436 14.023437 2.25129180 8.533067
## 1437 15.742085 0.69314718 8.166216
## 1438 14.270836 -0.51082562 8.440096
## 1439 17.619878 3.05870707 11.930009
## 1440 14.033223 2.05412373 8.079618
## 1441 8.775858 1.64865863 6.768493
## 1442 14.456973 3.12676054 8.274357
## 1443 14.033223 0.69314718 6.663133
## 1444 11.303820 -2.30258509 6.483107
## 1445 10.682331 -0.22314355 6.289716
## 1446 11.321438 2.14006616 7.634821
## 1447 13.483645 1.41098697 6.311735
## 1448 16.541678 2.04122033 9.265491
## 1449 16.247032 3.23867845 7.838738
## 1450 14.874870 1.13140211 6.773080
## 1451 15.936881 1.52605630 7.236339
## 1452 12.189786 0.91629073 7.993282
## 1453 13.986833 -2.30258509 8.447414
## 1454 16.244990 0.40546511 7.715124
## 1455 16.756721 1.28093385 8.513787
## 1456 9.537195 0.40546511 9.951420
## 1457 15.333775 0.18232156 6.455199
## 1458 14.033223 2.54944517 9.501217
## 1459 18.013274 1.60943791 9.016998
## 1460 13.203680 -2.30258509 5.860786
## 1461 13.328276 0.64185389 6.952729
## 1462 11.992062 3.83729946 7.460490
## 1463 14.440211 2.50143595 8.687948
## 1464 12.540253 0.09531018 7.484369
## 1465 12.734584 0.64185389 6.559615
## 1466 11.122191 0.99325177 9.951420
## 1467 13.697342 1.09861229 8.004700
## 1468 14.033223 0.91629073 9.856815
## 1469 14.017250 1.58923521 11.144337
## 1470 15.981298 -0.22314355 9.951420
## 1471 14.033223 1.96009478 9.715832
## 1472 13.632724 2.09186406 7.584265
## 1473 17.629103 3.17805383 11.816210
## 1474 13.002940 -0.22314355 6.333280
## 1475 16.281232 0.47000363 7.803435
## 1476 14.302207 -0.35667494 8.601167
## 1477 14.048414 2.31253542 8.521783
## 1478 14.474892 3.17387846 8.176673
## 1479 12.060625 3.88773031 7.340836
## 1480 13.994733 -2.30258509 8.436850
## 1481 17.291243 2.82731362 9.471627
## 1482 13.672000 1.56861592 7.444833
## 1483 13.368852 0.83290912 7.286876
## 1484 11.860917 0.40546511 4.330733
## 1485 14.377942 3.61630876 8.610684
## 1486 14.474892 0.83290912 6.532334
## 1487 18.042231 1.58923521 9.015663
## 1488 13.562852 0.74193734 8.206856
## 1489 13.504507 1.45861502 6.349139
## 1490 14.474892 2.02814825 7.936303
## 1491 16.239716 0.87546874 8.151333
## 1492 16.295789 1.28093385 8.067776
## 1493 12.856372 2.63188884 6.838405
## 1494 17.028565 2.37954613 8.672657
## 1495 18.647525 1.62924054 11.205829
## 1496 14.052566 1.28093385 5.973810
## 1497 15.067451 0.69314718 6.622736
## 1498 16.020565 -0.22314355 9.951420
## 1499 14.479314 1.25276297 8.578288
## 1500 13.228322 -2.30258509 5.937536
## 1501 16.738068 2.59525471 8.639411
## 1502 14.474892 0.87546874 8.914357
## 1503 12.541577 0.18232156 7.465083
## 1504 15.757763 1.09861229 9.951420
## 1505 14.474892 1.94591015 9.729789
## 1506 13.941700 -0.51082562 8.780787
## 1507 13.144471 1.66770682 7.301148
## 1508 16.009523 1.09861229 7.947679
## 1509 13.657247 2.07944154 7.583756
## 1510 11.733032 -2.30258509 8.484877
## 1511 17.641005 3.28091122 11.768250
## 1512 9.414260 0.47000363 7.930925
## 1513 16.681854 0.83290912 9.634693
## 1514 12.166874 3.48124009 6.654153
## 1515 11.740260 3.68386691 8.754949
## 1516 11.335269 -2.30258509 6.609349
## 1517 14.337208 2.05412373 9.426822
## 1518 15.723803 1.64865863 6.715383
## 1519 14.489550 3.20274644 8.116417
## 1520 11.619526 2.91235066 8.341410
## 1521 16.634811 -0.35667494 8.585226
## 1522 11.719379 1.16315081 8.194782
## 1523 14.072880 1.41098697 6.035481
## 1524 14.149738 2.49320545 9.556409
## 1525 14.009193 3.20680324 8.534444
## 1526 10.719206 -0.22314355 6.431331
## 1527 15.830039 1.52605630 8.968396
## 1528 11.883723 0.33647224 4.442651
## 1529 12.801781 1.13140211 6.831954
## 1530 14.392098 3.54385368 8.601350
## 1531 14.149738 1.97408103 8.017637
## 1532 14.149738 1.93152141 9.801123
## 1533 13.252477 -2.30258509 6.054439
## 1534 15.802754 0.74193734 8.341410
## 1535 11.426158 1.60943791 7.599401
## 1536 12.713339 2.75366071 9.484025
## 1537 15.474019 1.66770682 7.442493
## 1538 16.807462 1.25276297 8.726806
## 1539 7.545918 3.91002100 7.266827
## 1540 15.100503 0.64185389 6.591674
## 1541 14.870947 0.18232156 7.482682
## 1542 14.149738 0.91629073 6.359574
## 1543 14.760135 2.30258509 8.728912
## 1544 14.149738 0.87546874 9.074292
## 1545 16.057401 -0.10536052 9.951420
## 1546 15.794755 1.19392247 9.951420
## 1547 12.893232 2.59525471 6.903747
## 1548 11.107165 1.06471074 7.499423
## 1549 16.269866 0.83290912 8.270781
## 1550 14.149738 -0.35667494 8.854522
## 1551 16.767273 2.67414865 8.691315
## 1552 13.674346 2.09186406 7.667626
## 1553 16.351894 3.60277676 8.653122
## 1554 14.416196 0.87546874 9.787684
## 1555 15.754700 1.62924054 6.665684
## 1556 12.164714 3.52046080 7.054450
## 1557 11.706327 -2.30258509 8.668540
## 1558 18.099720 1.48160454 9.062304
## 1559 11.737092 0.78845736 8.458292
## 1560 14.710284 1.22377543 8.940236
## 1561 17.653202 3.36384160 12.191055
## 1562 15.464082 0.64185389 7.222566
## 1563 11.791481 1.52605630 6.167516
## 1564 16.619708 2.04122033 9.678467
## 1565 14.952135 1.16315081 6.617403
## 1566 16.353533 1.06471074 8.464003
## 1567 11.323954 -2.30258509 6.621406
## 1568 13.531229 0.74193734 8.584665
## 1569 14.416196 1.91692261 8.161660
## 1570 13.451107 1.28093385 7.818028
## 1571 15.043352 2.67414865 9.609452
## 1572 12.140958 3.92395158 7.695303
## 1573 14.416196 2.44234704 9.630169
## 1574 14.416196 0.78845736 9.098067
## 1575 14.501902 3.20680324 8.502283
## 1576 11.907478 0.47000363 4.624973
## 1577 13.197732 1.64865863 7.657283
## 1578 15.197211 2.54944517 7.040536
## 1579 10.739587 -0.10536052 6.700731
## 1580 16.093627 -0.10536052 9.951420
## 1581 13.753473 1.06471074 8.144969
## 1582 13.539250 1.43508453 6.432940
## 1583 12.124532 3.46260601 8.924257
## 1584 18.698104 1.68639895 11.559227
## 1585 13.276304 -2.30258509 6.304449
## 1586 16.796971 2.72785283 8.792398
## 1587 14.416196 1.90210753 9.964206
## 1588 13.530015 1.25276297 9.951420
## 1589 16.752857 0.91629073 10.066966
## 1590 11.320250 -2.30258509 6.794587
## 1591 11.823530 2.40694511 8.958025
## 1592 10.282882 3.17805383 8.796188
## 1593 8.459138 3.39114705 12.452179
## 1594 14.087606 0.47000363 8.232174
## 1595 15.992355 2.04122033 7.773594
## 1596 16.363197 3.51452607 8.666647
## 1597 9.410256 -2.30258509 8.791638
## 1598 14.052666 3.15273602 8.528924
## 1599 11.931432 0.47000363 4.744932
## 1600 14.474960 3.54385368 7.320527
## 1601 14.052666 1.84054963 8.446127
## 1602 14.029973 0.69314718 8.604105
## 1603 14.052666 1.06471074 6.869014
## 1604 14.971263 1.16315081 6.799056
## 1605 11.815582 1.60943791 6.276643
## 1606 14.909625 1.16315081 9.091669
## 1607 17.132182 2.18605128 8.979543
## 1608 14.052666 2.37954613 9.721906
## 1609 15.825394 1.41098697 9.223355
## 1610 16.277809 2.86789890 8.735686
## 1611 13.763405 1.02961942 8.198364
## 1612 12.351363 2.76631911 8.979291
## 1613 11.483939 1.64865863 8.394573
## 1614 15.509234 0.74193734 7.265430
## 1615 8.955964 0.74193734 8.730690
## 1616 13.055505 -0.22314355 6.829794
## 1617 9.880884 3.91800508 7.926603
## 1618 14.052666 0.74193734 9.239608
## 1619 15.868050 1.33500107 9.951420
## 1620 13.493674 1.48160454 8.391857
## 1621 18.723697 1.68639895 11.818681
## 1622 14.486383 -0.35667494 9.218011
## 1623 14.052666 1.87180218 10.065224
## 1624 13.300054 -2.30258509 6.452049
## 1625 15.526529 1.62924054 7.723120
## 1626 15.820133 1.45861502 7.018402
## 1627 12.355337 3.09557761 8.888481
## 1628 16.011816 1.96009478 7.984122
## 1629 16.085546 0.99325177 7.985144
## 1630 13.074574 3.38439026 12.573722
## 1631 16.788616 0.95551145 10.517889
## 1632 14.021104 -2.30258509 8.777864
## 1633 11.871481 2.38876279 9.167746
## 1634 15.548648 0.78845736 7.394493
## 1635 14.371001 2.00148000 9.878682
## 1636 14.040377 0.69314718 9.389657
## 1637 15.892728 0.74193734 8.789965
## 1638 9.652652 0.47000363 4.912655
## 1639 15.853190 1.30833282 9.425532
## 1640 14.107964 3.10906096 8.579229
## 1641 10.589031 0.47000363 7.001246
## 1642 11.841063 1.68639895 6.375025
## 1643 14.109815 0.83290912 8.723557
## 1644 16.364859 0.64185389 8.740017
## 1645 14.040377 2.83321334 9.027859
## 1646 12.695030 1.13140211 6.855409
## 1647 13.070158 -0.22314355 6.879356
## 1648 14.040377 1.09861229 6.935370
## 1649 12.280387 1.13140211 9.282196
## 1650 16.426936 0.47000363 8.385489
## 1651 14.433854 3.02529108 9.202207
## 1652 11.660250 3.89385903 8.064007
## 1653 15.109769 2.45100510 9.838309
## 1654 10.353671 0.26236426 7.984803
## 1655 18.749549 1.68639895 12.076368
## 1656 16.724416 -0.51082562 8.675734
## 1657 14.040377 1.77495235 8.802372
## 1658 10.283190 2.78501124 9.090317
## 1659 14.040377 1.80828877 10.087350
## 1660 16.163766 -0.10536052 9.951420
## 1661 15.553037 1.60943791 7.732369
## 1662 13.615689 1.36097655 9.951420
## 1663 12.930697 2.41591378 7.198931
## 1664 14.864370 2.16332303 9.131189
## 1665 13.571212 1.36097655 6.563856
## 1666 16.235991 -0.35667494 9.306468
## 1667 13.323878 -2.30258509 6.483107
## 1668 13.537537 1.58923521 9.013960
## 1669 14.025768 -2.30258509 8.857800
## 1670 15.853523 1.33500107 7.149132
## 1671 14.491340 0.69314718 9.578588
## 1672 14.449034 2.66722821 9.202207
## 1673 14.631936 0.91629073 10.866299
## 1674 11.436671 1.82454929 8.107720
## 1675 14.160991 1.72276660 6.383507
## 1676 16.412947 3.04927304 8.668712
## 1677 14.491340 3.52929738 7.495542
## 1678 15.388986 3.33576958 12.624319
## 1679 11.978720 0.18232156 4.962845
## 1680 15.951823 1.41098697 9.951420
## 1681 15.032154 1.09861229 7.020191
## 1682 14.161412 0.40546511 8.467162
## 1683 14.899233 2.15176220 9.208138
## 1684 13.582591 1.66770682 9.219003
## 1685 16.331871 2.76631911 9.453835
## 1686 16.106168 0.95551145 8.347590
## 1687 14.491340 1.09861229 6.960348
## 1688 14.491340 1.75785792 10.137808
## 1689 16.193664 -0.10536052 9.951420
## 1690 16.442291 0.69314718 8.786762
## 1691 12.451893 2.95491028 8.987447
## 1692 15.880560 1.19392247 9.634366
## 1693 14.491340 1.70474809 8.996157
## 1694 14.451171 -0.51082562 8.763428
## 1695 14.183512 2.37024374 9.242614
## 1696 15.579863 1.60943791 7.763021
## 1697 11.630833 3.77734810 8.098947
## 1698 12.684333 0.26236426 8.273847
## 1699 10.795383 -0.51082562 7.010312
## 1700 14.095234 0.58778666 8.840146
## 1701 15.921703 0.69314718 8.858511
## 1702 16.885769 2.79116511 9.160099
## 1703 10.532763 2.33214390 10.159137
## 1704 16.262781 -0.35667494 9.367173
## 1705 16.473074 1.66770682 12.381936
## 1706 13.053331 0.33647224 7.099202
## 1707 14.913352 0.95551145 11.086227
## 1708 12.792433 2.12823171 9.384546
## 1709 12.333639 0.95551145 10.119687
## 1710 11.727738 -2.30258509 9.005773
## 1711 14.184283 1.74046617 6.546785
## 1712 12.189572 0.87546874 8.745444
## 1713 12.087165 1.58923521 9.065315
## 1714 14.464922 2.59525471 9.265491
## 1715 16.359156 2.61006979 9.550876
## 1716 11.391526 1.43508453 9.951420
## 1717 9.699595 0.18232156 5.003946
## 1718 16.915080 2.64617480 9.288319
## 1719 13.094865 -0.51082562 7.408531
## 1720 15.239421 0.26236426 7.183871
## 1721 14.141188 2.96010510 8.771990
## 1722 14.141188 1.66770682 10.266741
## 1723 14.141188 2.14006616 9.992414
## 1724 14.102942 3.16547505 8.573952
## 1725 9.051696 -2.30258509 6.981935
## 1726 16.782510 -0.51082562 9.050758
## 1727 9.005650 1.02961942 9.888780
## 1728 15.606834 1.62924054 8.232174
## 1729 13.330055 0.78845736 7.662468
## 1730 9.098515 1.25276297 6.742881
## 1731 16.501202 0.33647224 8.653645
## 1732 12.542241 2.72129543 9.087042
## 1733 15.950244 0.69314718 9.008102
## 1734 16.727611 1.94591015 10.082805
## 1735 16.289824 -0.35667494 9.546384
## 1736 14.128543 0.53062825 9.006509
## 1737 11.069166 -2.30258509 6.679599
## 1738 15.013264 0.26236426 8.377011
## 1739 12.870303 2.20827441 10.372178
## 1740 10.663312 2.19722458 7.438384
## 1741 14.141188 1.13140211 7.154615
## 1742 14.481467 2.54160199 9.280892
## 1743 12.284768 2.45958884 9.060331
## 1744 13.105671 -0.91629073 7.580700
## 1745 14.095520 0.83290912 8.848509
## 1746 14.661320 0.58778666 9.892882
## 1747 14.661320 0.78845736 10.263920
## 1748 14.017600 -0.51082562 9.732343
## 1749 12.025228 -0.10536052 5.236442
## 1750 16.811066 -0.69314718 9.280333
## 1751 16.464392 0.47000363 9.194008
## 1752 14.139416 2.47653840 9.793170
## 1753 14.243871 1.60943791 12.735159
## 1754 15.258336 0.09531018 7.229839
## 1755 15.921139 1.06471074 7.385231
## 1756 16.422522 3.02042489 8.392990
## 1757 12.206038 3.30688670 7.477038
## 1758 11.373158 -2.30258509 6.887553
## 1759 11.910634 1.79175947 6.766192
## 1760 14.661320 1.41098697 10.436407
## 1761 15.284625 2.11625551 7.597396
## 1762 16.502659 0.40546511 9.153876
## 1763 13.620631 1.19392247 6.906755
## 1764 16.538681 0.26236426 8.895356
## 1765 15.978479 0.58778666 9.188912
## 1766 14.661320 1.45861502 9.363061
## 1767 16.473756 2.82731362 8.954674
## 1768 14.661320 1.09861229 7.353722
## 1769 16.225502 1.54756251 9.248984
## 1770 12.758638 0.26236426 8.557567
## 1771 17.482871 1.85629799 10.488353
## 1772 13.962979 3.69386700 8.099858
## 1773 17.270688 2.10413415 9.577757
## 1774 9.851036 1.90210753 10.229729
## 1775 14.592972 0.95551145 11.391198
## 1776 14.661320 2.00148000 10.238101
## 1777 15.634459 0.64185389 7.804659
## 1778 13.793438 1.30833282 8.552560
## 1779 9.995565 2.90142159 7.462215
## 1780 11.377083 -2.30258509 6.746412
## 1781 14.277201 2.07944154 9.402117
## 1782 13.782643 1.43508453 9.411729
## 1783 16.576401 0.09531018 8.902728
## 1784 11.684144 3.51749784 8.183118
## 1785 14.759074 -0.69314718 9.171288
## 1786 14.257966 0.83290912 8.812397
## 1787 14.198455 0.47000363 9.233275
## 1788 13.116271 -0.91629073 7.524021
## 1789 11.503996 1.98787435 9.617670
## 1790 13.651733 0.87546874 7.484930
## 1791 14.670973 2.42480273 9.414423
## 1792 18.263047 0.69314718 10.387055
## 1793 14.043377 -0.69314718 9.689428
## 1794 15.474845 2.94443898 12.706102
## 1795 13.957692 1.48160454 9.136801
## 1796 14.138752 2.89591194 9.176370
## 1797 16.115838 1.02961942 8.643826
## 1798 14.138752 1.30833282 10.430787
## 1799 11.334803 1.16315081 6.955593
## 1800 12.974638 0.00000000 7.526718
## 1801 14.138752 0.99325177 7.279319
## 1802 13.419875 -2.30258509 6.807935
## 1803 16.277663 -0.22314355 9.951420
## 1804 12.783495 0.18232156 8.458504
## 1805 17.305082 2.09186406 10.131738
## 1806 14.688406 0.74193734 10.167735
## 1807 16.931226 0.91629073 11.160627
## 1808 16.552613 1.58923521 12.594761
## 1809 14.138752 0.53062825 9.833494
## 1810 14.201767 2.70136121 9.106090
## 1811 12.956838 1.60943791 10.653653
## 1812 14.036595 -2.30258509 9.119211
## 1813 14.230397 0.09531018 9.153876
## 1814 14.138752 1.38629436 9.182249
## 1815 16.414967 2.20827441 9.637437
## 1816 15.153541 0.74193734 7.477604
## 1817 11.052888 0.53062825 7.791110
## 1818 13.703993 0.47000363 9.183894
## 1819 9.787684 -0.10536052 5.303305
## 1820 14.232541 1.79175947 6.721426
## 1821 10.108508 2.59525471 7.711997
## 1822 14.507404 1.70474809 10.222232
## 1823 16.614350 -0.10536052 8.968396
## 1824 13.683912 0.74193734 7.341484
## 1825 14.700164 2.37954613 9.342421
## 1826 9.102421 -2.30258509 6.889591
## 1827 13.683912 0.64185389 7.616776
## 1828 16.302635 -0.22314355 9.951420
## 1829 13.654339 1.13140211 7.029088
## 1830 14.564643 -0.69314718 9.208639
## 1831 15.603836 2.39789527 12.941714
## 1832 16.034633 0.33647224 9.162725
## 1833 12.289112 1.82454929 9.344084
## 1834 12.277770 1.82454929 9.444384
## 1835 15.308083 1.88706965 7.669962
## 1836 14.232110 2.61739583 9.223059
## 1837 11.838864 1.91692261 9.916700
## 1838 17.339372 2.07944154 10.191407
## 1839 10.691581 -0.10536052 7.371489
## 1840 16.966927 0.91629073 11.336176
## 1841 16.373995 -0.91629073 9.687878
## 1842 18.881759 1.56861592 12.813090
## 1843 14.712094 0.64185389 10.379660
## 1844 7.134094 -1.60943791 9.210740
## 1845 11.967720 0.40546511 9.276970
## 1846 13.389259 1.33500107 8.465057
## 1847 13.683912 1.33500107 9.484025
## 1848 13.988389 1.41098697 9.275004
## 1849 14.211812 2.75366071 9.396156
## 1850 11.462831 1.97408103 9.699779
## 1851 12.820022 0.18232156 8.635687
## 1852 14.263535 0.00000000 9.221280
## 1853 12.071260 -0.69314718 5.247024
## 1854 13.683912 0.47000363 9.978873
## 1855 13.683912 1.19392247 10.461273
## 1856 11.954967 1.77495235 6.745236
## 1857 13.378357 0.47000363 7.854769
## 1858 14.036125 0.83290912 8.720134
## 1859 15.188751 0.58778666 7.599902
## 1860 15.714521 0.95551145 8.598220
## 1861 14.611043 1.54756251 9.435322
## 1862 16.894846 -0.91629073 9.354614
## 1863 12.041852 1.79175947 9.809726
## 1864 12.484333 2.35137526 7.855157
## 1865 11.378720 -2.30258509 6.965080
## 1866 15.314275 1.75785792 7.798933
## 1867 12.434558 1.70474809 9.623178
## 1868 12.426793 2.26176310 9.590077
## 1869 14.018662 1.19392247 10.510369
## 1870 11.454851 0.40546511 7.712444
## 1871 12.438957 1.58923521 10.329768
## 1872 16.564550 2.41591378 9.362890
## 1873 11.458279 0.33647224 9.277345
## 1874 13.760797 0.33647224 10.372021
## 1875 16.605925 1.54756251 12.934749
## 1876 14.018662 0.47000363 10.159679
## 1877 12.032873 -0.10536052 9.399306
## 1878 14.018662 0.58778666 7.251345
## 1879 14.018662 2.75366071 8.480529
## 1880 13.011363 -0.35667494 7.632886
## 1881 17.002630 0.91629073 11.624377
## 1882 11.639708 0.69314718 8.822470
## 1883 16.324187 1.36097655 9.406894
## 1884 15.128608 0.18232156 8.819518
## 1885 17.761536 2.14006616 13.035059
## 1886 14.018662 1.25276297 9.658546
## 1887 15.704350 0.26236426 7.983440
## 1888 16.481811 2.58776404 9.554072
## 1889 15.094678 1.91692261 10.235378
## 1890 14.186286 1.36097655 9.609586
## 1891 14.283108 1.74046617 7.003065
## 1892 17.039246 0.26236426 10.579921
## 1893 17.564705 1.22377543 10.755112
## 1894 11.929469 0.26236426 8.837100
## 1895 7.488853 -0.69314718 5.420535
## 1896 14.632615 1.30833282 9.475930
## 1897 14.758508 1.93152141 9.722445
## 1898 12.577388 2.19722458 7.815207
## 1899 13.015704 1.62924054 7.828038
## 1900 17.591637 1.09861229 10.940171
## 1901 16.690861 -0.35667494 9.151333
## 1902 14.309071 1.06471074 10.499628
## 1903 15.741142 0.53062825 8.596743
## 1904 13.689023 0.64185389 7.210818
## 1905 14.202014 2.17475172 9.747711
## 1906 15.246196 0.18232156 7.934513
## 1907 12.856414 0.18232156 8.814033
## 1908 14.309071 0.33647224 7.254885
## 1909 12.041994 2.11625551 9.079434
## 1910 12.466955 0.95551145 11.760200
## 1911 14.595928 1.52605630 10.314106
## 1912 18.935283 1.48160454 13.047577
## 1913 14.760719 -0.10536052 10.627940
## 1914 15.106614 1.52605630 10.214862
## 1915 14.309071 0.87546874 10.587846
## 1916 14.309071 1.19392247 9.780924
## 1917 18.342116 0.18232156 10.676162
## 1918 12.575271 1.48160454 9.540148
## 1919 13.149938 -1.20397280 7.556428
## 1920 14.058563 1.28093385 9.422787
## 1921 9.721186 0.40546511 9.428833
## 1922 13.492364 -0.22314355 6.923629
## 1923 16.623178 -0.22314355 9.438352
## 1924 13.788053 0.26236426 9.318387
## 1925 14.994964 -0.51082562 9.951420
## 1926 15.474979 2.02814825 12.981723
## 1927 14.037179 2.50143595 8.494334
## 1928 14.309071 1.66770682 6.896694
## 1929 14.132882 -0.91629073 9.779114
## 1930 11.839297 2.10413415 10.016280
## 1931 14.397085 -0.35667494 8.943114
## 1932 16.238672 0.64185389 8.940891
## 1933 17.618318 1.09861229 11.029569
## 1934 14.565681 2.26176310 7.769379
## 1935 9.838682 -1.60943791 5.587249
## 1936 14.388027 0.18232156 10.394519
## 1937 14.770958 0.83290912 11.793122
## 1938 14.388027 0.87546874 10.663358
## 1939 15.319511 1.62924054 7.433667
## 1940 9.578519 0.18232156 9.434923
## 1941 16.949314 -0.91629073 9.427385
## 1942 16.729293 -0.51082562 9.232591
## 1943 11.406998 -2.30258509 7.189168
## 1944 13.518381 0.40546511 8.703175
## 1945 18.368205 -0.10536052 10.771596
## 1946 16.390684 1.13140211 9.469160
## 1947 17.441283 1.38629436 10.272150
## 1948 16.617526 0.47000363 9.491224
## 1949 14.388027 -0.35667494 9.506288
## 1950 14.388027 0.47000363 7.226936
## 1951 12.885671 0.09531018 8.885026
## 1952 17.090176 1.62924054 9.752548
## 1953 13.926827 1.28093385 9.821518
## 1954 11.954118 1.91692261 9.856972
## 1955 12.268376 1.02961942 9.566055
## 1956 16.890780 1.38629436 10.426113
## 1957 14.045553 -2.30258509 9.416785
## 1958 17.086837 -0.10536052 11.048108
## 1959 12.121310 1.74046617 9.996477
## 1960 14.335194 1.50407740 6.952729
## 1961 16.623536 1.84054963 8.991189
## 1962 13.706463 0.74193734 7.622175
## 1963 11.858159 -1.20397280 9.847922
## 1964 13.968361 -0.69314718 8.964568
## 1965 16.659427 1.36097655 13.161809
## 1966 15.008332 -0.69314718 9.951420
## 1967 14.388027 0.74193734 10.728737
## 1968 16.369048 -0.22314355 8.671801
## 1969 13.447744 -0.22314355 8.501064
## 1970 8.559486 -1.60943791 7.615298
## 1971 16.767720 -0.69314718 9.293118
## 1972 14.067601 0.09531018 9.494391
## 1973 12.379992 0.78845736 9.428270
## 1974 14.579016 2.24070969 7.800163
## 1975 14.589580 0.83290912 9.646658
## 1976 14.444499 0.09531018 10.488743
## 1977 16.550636 1.84054963 9.877965
## 1978 14.444499 0.69314718 10.796366
## 1979 14.385833 1.62924054 9.082621
## 1980 16.244319 -0.91629073 9.016756
## 1981 13.958720 1.25276297 9.544095
## 1982 14.361169 1.22377543 6.961296
## 1983 15.323003 1.50407740 7.546974
## 1984 16.682612 -0.51082562 9.542733
## 1985 17.474790 1.16315081 10.392436
## 1986 17.109960 -0.22314355 10.911135
## 1987 13.804631 -0.35667494 7.903227
## 1988 14.262101 1.45861502 10.208801
## 1989 17.119183 1.41098697 9.796904
## 1990 11.772185 1.98787435 8.394573
## 1991 11.683166 -0.69314718 9.080004
## 1992 12.161420 -1.60943791 5.680173
## 1993 13.565974 -0.51082562 8.520189
## 1994 11.751423 -2.30258509 9.478381
## 1995 16.492834 -1.20397280 9.893286
## 1996 13.540264 -0.22314355 7.047517
## 1997 13.723575 0.74193734 7.703008
## 1998 12.993932 -0.10536052 8.078998
## 1999 18.393996 -0.51082562 10.926154
## 2000 10.744882 -0.10536052 8.793764
## 2001 14.383464 1.36097655 13.260705
## 2002 13.173887 -1.60943791 7.621685
## 2003 16.423331 1.06471074 9.542589
## 2004 14.444499 1.09861229 9.793617
## 2005 14.444499 0.53062825 7.113956
## 2006 14.700718 -1.20397280 9.334591
## 2007 14.270370 0.00000000 9.340315
## 2008 11.444850 -2.30258509 7.237778
## 2009 14.379327 1.56861592 9.129022
## 2010 19.015011 1.30833282 13.108319
## 2011 16.574092 1.82454929 9.901636
## 2012 16.290547 1.22377543 9.392495
## 2013 14.701573 0.74193734 9.335651
## 2014 12.171352 0.99325177 9.573802
## 2015 16.269060 -0.91629073 9.053102
## 2016 14.071340 -0.69314718 9.081825
## 2017 14.592376 2.23001440 7.766417
## 2018 14.373293 0.64185389 10.732367
## 2019 12.183587 -1.60943791 5.560682
## 2020 17.670672 1.02961942 11.157963
## 2021 14.373293 0.33647224 10.766673
## 2022 12.342337 0.78845736 9.512739
## 2023 11.694639 -0.35667494 8.040447
## 2024 12.086872 1.16315081 6.954639
## 2025 13.492167 -0.69314718 8.355145
## 2026 12.548566 1.36097655 9.693322
## 2027 10.724610 1.48160454 7.436028
## 2028 16.943784 1.25276297 10.380032
## 2029 11.789883 1.96009478 8.309677
## 2030 12.934797 1.13140211 10.385512
## 2031 15.319504 -0.10536052 8.079308
## 2032 16.437560 -0.35667494 8.851520
## 2033 13.563741 -0.22314355 6.873164
## 2034 13.740155 0.74193734 7.793174
## 2035 11.992799 1.41098697 9.964159
## 2036 15.522434 1.28093385 12.756244
## 2037 11.914470 1.02961942 9.301095
## 2038 14.840094 0.64185389 11.413061
## 2039 11.746138 -2.30258509 9.393245
## 2040 13.186113 -1.60943791 7.467371
## 2041 15.246382 -0.10536052 8.726968
## 2042 14.373293 0.40546511 9.480749
## 2043 17.132704 -0.35667494 10.807827
## 2044 15.021483 -0.91629073 9.951420
## 2045 14.311333 -2.30258509 11.297130
## 2046 13.757125 -2.30258509 9.208939
## 2047 15.659882 -2.30258509 12.521959
## 2048 16.975291 -2.30258509 10.786511
## 2049 13.378457 -2.30258509 9.784704
## 2050 9.046173 -2.30258509 8.570355
## 2051 15.001930 -2.30258509 11.555381
## 2052 16.885765 -2.30258509 12.152223
## 2053 14.989653 -2.30258509 9.756147
## 2054 12.820144 -2.30258509 7.555905
## 2055 14.475567 -2.30258509 10.537919
## 2056 10.696095 -2.30258509 8.025189
## 2057 14.667477 -2.30258509 9.878529
## 2058 14.072141 -2.30258509 9.177714
## 2059 13.475049 -2.30258509 9.111955
## 2060 16.634917 -2.30258509 11.371028
## 2061 15.055101 -2.30258509 11.545509
## 2062 17.003995 -2.30258509 10.496151
## 2063 13.501152 -2.30258509 9.102310
## 2064 8.770129 -2.30258509 11.810330
## 2065 14.504486 -2.30258509 10.459956
## 2066 15.462915 -2.30258509 9.102310
## 2067 16.910451 -2.30258509 12.123441
## 2068 14.680362 -2.30258509 9.875705
## 2069 14.596286 -2.30258509 9.195531
## 2070 17.977381 -2.30258509 12.214799
## 2071 11.475037 -2.30258509 9.249369
## 2072 10.481645 -2.30258509 7.658228
## 2073 13.428127 -2.30258509 9.772125
## 2074 6.487684 -2.30258509 11.736557
## 2075 13.525591 -2.30258509 9.168893
## 2076 15.074777 -2.30258509 9.860162
## 2077 12.093973 -2.30258509 11.413746
## 2078 14.532064 -2.30258509 10.548914
## 2079 16.934496 -2.30258509 12.152704
## 2080 15.105750 -2.30258509 11.606562
## 2081 17.031955 -2.30258509 10.402079
## 2082 8.379539 -2.30258509 8.130354
## 2083 13.477498 -2.30258509 9.871171
## 2084 13.613633 -2.30258509 8.738094
## 2085 12.718588 -2.30258509 7.773174
## 2086 14.558165 -2.30258509 10.776349
## 2087 15.501312 -2.30258509 9.229751
## 2088 16.672858 -2.30258509 11.468911
## 2089 11.110909 -2.30258509 11.785240
## 2090 13.564811 -2.30258509 9.312446
## 2091 15.154043 -2.30258509 11.730823
## 2092 12.825207 -2.30258509 9.907629
## 2093 13.809053 -2.30258509 9.585140
## 2094 13.412916 -2.30258509 12.659045
## 2095 16.957542 -2.30258509 12.282144
## 2096 13.525860 -2.30258509 10.066201
## 2097 10.366781 -2.30258509 7.939872
## 2098 11.318624 -2.30258509 8.892337
## 2099 6.066108 -2.30258509 8.291797
## 2100 13.694370 -2.30258509 9.373989
## 2101 14.704060 -2.30258509 9.982021
## 2102 14.582596 -2.30258509 10.992706
## 2103 16.979373 -2.30258509 12.463587
## 2104 13.564409 -2.30258509 10.365144
## 2105 13.426689 -2.30258509 12.921140
## 2106 8.353497 -2.30258509 8.541886
## 2107 15.526710 -2.30258509 9.342421
## 2108 7.039660 -2.30258509 9.759675
## 2109 9.031812 -2.30258509 9.068777
## 2110 15.167024 -2.30258509 9.959868
## 2111 8.192017 -2.30258509 8.182280
## 2112 13.633330 -2.30258509 9.484177
## 2113 14.719265 -2.30258509 10.117146
## 2114 15.200138 -2.30258509 11.903778
## 2115 16.722117 -2.30258509 11.807116
## 2116 12.536908 -2.30258509 10.818878
## 2117 13.428886 -2.30258509 13.134914
## 2118 13.640186 -2.30258509 9.491375
## 2119 15.558449 -2.30258509 9.440579
## 2120 6.037871 -2.30258509 8.765771
## 2121 8.843759 -2.30258509 11.898759
## 2122 14.737860 -2.30258509 10.344384
## 2123 14.907856 -2.30258509 8.496990
## 2124 14.265734 -2.30258509 9.725078
## 2125 14.619932 -2.30258509 11.299720
## 2126 17.009997 -2.30258509 12.702170
## 2127 13.712282 -2.30258509 9.678405
## 2128 15.269696 -2.30258509 12.104134
## 2129 13.651172 -2.30258509 9.951420
## 2130 15.743598 -2.30258509 13.230457
## 2131 15.596248 -2.30258509 9.619598
## 2132 13.830458 -2.30258509 11.016693
## 2133 17.136868 -2.30258509 11.084294
## 2134 9.585965 -2.30258509 9.907131
## 2135 8.327484 -2.30258509 8.954803
## 2136 14.339786 -2.30258509 9.855505
## 2137 14.675616 -2.30258509 11.528375
## 2138 10.295023 -2.30258509 8.761550
## 2139 8.927580 -2.30258509 11.974582
## 2140 13.094922 -2.30258509 10.119687
## 2141 14.284006 -2.30258509 9.982807
## 2142 14.859115 -2.30258509 11.394559
## 2143 14.024063 -2.30258509 11.286175
## 2144 18.058236 -2.30258509 13.431789
## 2145 11.359926 -2.30258509 10.405747
## 2146 12.005864 -2.30258509 10.084517
## 2147 15.585812 -2.30258509 12.460389
## 2148 8.879194 -2.30258509 12.122974
## 2149 14.773212 -2.30258509 10.647447
## 2150 14.734505 -2.30258509 11.649500
## 2151 13.855243 -2.30258509 9.986449
## 2152 14.490130 -2.30258509 12.100879
## 2153 12.589142 -2.30258509 9.127611
## 2154 14.790421 -2.30258509 11.900770
## 2155 11.380924 -2.30258509 10.796530
## 2156 14.183119 -2.30258509 11.655032
## 2157 13.920180 -2.30258509 10.154674
## 2158 15.759803 -2.30258509 12.661835
## 2159 11.217641 -2.30258509 13.554729
## 2160 3.761200 -2.30258509 9.456810
## 2161 14.790458 -2.30258509 11.017071
## 2162 17.127416 -2.30258509 13.161194
## 2163 12.109358 -2.30258509 10.234409
## 2164 14.659421 -2.30258509 12.292663
## 2165 8.907612 -2.30258509 12.303794
## 2166 15.246577 -2.30258509 10.474467
## 2167 15.735534 -2.30258509 10.107978
## 2168 9.897268 -2.30258509 10.163734
## 2169 18.082956 -2.30258509 13.383633
## 2170 14.291915 -2.30258509 11.490659
## 2171 11.223322 -2.30258509 12.264200
## 2172 16.006856 -2.30258509 10.698559
## 2173 8.288534 -2.30258509 9.284241
## 2174 14.865191 -2.30258509 10.131818
## 2175 14.876277 -2.30258509 9.065083
## 2176 17.213190 -2.30258509 11.623196
## 2177 15.894032 -2.30258509 12.443304
## 2178 17.164846 -2.30258509 12.969441
## 2179 14.853981 -2.30258509 12.321907
## 2180 13.980561 -2.30258509 10.040550
## 2181 11.619688 -2.30258509 10.155491
## 2182 14.354051 -2.30258509 11.737045
## 2183 13.484558 -2.30258509 10.208543
## 2184 17.196911 -2.30258509 13.177244
## 2185 18.096707 -2.30258509 13.563153
## 2186 8.275376 -2.30258509 9.412710
## 2187 14.895061 -2.30258509 11.656307
## 2188 15.282726 -2.30258509 10.556958
## 2189 14.009139 -2.30258509 10.154752
## 2190 14.872367 -2.30258509 9.133459
## 2191 11.241589 -2.30258509 12.381554
## 2192 14.873965 -2.30258509 11.082035
## 2193 15.953430 -2.30258509 12.612168
## 2194 13.933147 -2.30258509 10.224302
## 2195 17.221727 -2.30258509 13.424887
## 2196 15.810137 -2.30258509 13.639710
## 2197 15.840356 -2.30258509 10.292959
## 2198 15.339035 -2.30258509 10.594808
## 2199 14.980806 -2.30258509 11.258007
## 2200 14.867727 -2.30258509 11.120460
## 2201 14.871765 -2.30258509 9.224440
## 2202 11.260070 -2.30258509 12.494225
## 2203 15.964385 -2.30258509 12.796171
## 2204 14.007846 -2.30258509 10.267332
## 2205 8.262301 -2.30258509 9.622913
## 2206 14.917352 -2.30258509 10.395925
## 2207 14.970110 -2.30258509 12.132157
## 2208 15.894023 -2.30258509 10.362019
## 2209 8.249314 -2.30258509 9.710449
## 2210 13.105510 -2.30258509 10.692331
## 2211 14.959189 -2.30258509 10.474495
## 2212 17.305225 -2.30258509 12.292260
## 2213 14.873968 -2.30258509 9.270400
## 2214 17.243724 -2.30258509 13.516902
## 2215 14.018402 -2.30258509 10.333613
## 2216 15.078388 -2.30258509 11.378354
## 2217 11.640104 -2.30258509 10.125711
## 2218 16.045072 -2.30258509 11.151669
## 2219 15.037715 -2.30258509 12.067086
## 2220 13.176116 -2.30258509 10.755346
## 2221 18.143442 -2.30258509 13.772393
## 2222 8.236421 -2.30258509 9.752083
## 2223 15.109283 -2.30258509 12.067776
## 2224 15.154891 -2.30258509 11.406854
## 2225 17.264942 -2.30258509 13.532969
## 2226 13.755422 -2.30258509 11.213994
## 2227 14.503213 -2.30258509 9.969322
## 2228 13.949951 -2.30258509 10.081592
## 2229 15.984775 -2.30258509 12.899767
## 2230 14.047949 -2.30258509 10.390195
## 2231 12.575423 -2.30258509 9.316590
## 2232 17.338428 -2.30258509 12.365799
## 2233 11.395672 -2.30258509 10.514557
## 2234 11.654764 -2.30258509 10.050009
## 2235 13.558846 -2.30258509 13.752502
## 2236 13.241530 -2.30258509 10.780934
## 2237 11.316387 -2.30258509 12.658199
## 2238 13.412722 -2.30258509 10.674267
## 2239 15.140351 -2.30258509 11.999356
## 2240 10.296273 -2.30258509 9.359622
## 2241 14.086403 -2.30258509 10.415952
## 2242 13.727697 -2.30258509 10.560671
## 2243 16.003459 -2.30258509 12.822001
## 2244 12.583464 -2.30258509 9.264165
## 2245 18.175694 -2.30258509 13.669691
## 2246 17.402237 -2.30258509 12.024395
## 2247 15.178726 -2.30258509 11.649081
## 2248 17.304409 -2.30258509 13.414263
## 2249 9.033723 -2.30258509 12.622853
## 2250 16.082400 -2.30258509 10.879480
## 2251 14.697033 -2.30258509 11.993745
## 2252 14.124569 -2.30258509 10.343386
## 2253 16.745903 -2.30258509 9.709174
## 2254 10.523284 -2.30258509 9.612734
## 2255 15.214292 -2.30258509 10.655941
## 2256 13.484817 -2.30258509 12.539741
## 2257 15.922222 -2.30258509 14.482305
## 2258 8.380915 -2.30258509 9.963171
## 2259 15.748842 -2.30258509 14.127134
## 2260 11.737069 -2.30258509 12.374937
## 2261 13.606721 -2.30258509 12.192430
## 2262 18.226488 -2.30258509 14.481179
## 2263 13.643883 -2.30258509 12.193539
## 2264 12.011383 -2.30258509 12.975224
## 2265 12.997990 -2.30258509 9.970585
## 2266 15.793729 -2.30258509 12.565783
## 2267 11.764905 -2.30258509 12.374743
## 2268 17.932227 -2.30258509 14.135895
## 2269 13.008467 -2.30258509 10.071118
## 2270 13.689899 -2.30258509 12.275575
## 2271 15.801294 -2.30258509 12.642070
## 2272 15.637681 -2.30258509 14.221915
## 2273 18.228169 -2.30258509 14.547150
## 2274 16.597364 -2.30258509 13.068671
## 2275 14.134788 -2.30258509 12.670068
## 2276 14.299498 -2.30258509 13.270904
## 2277 17.946587 -2.30258509 14.427743
## 2278 15.910016 -2.30258509 12.477145
## 2279 14.166968 -2.30258509 12.819134
## 2280 15.652068 -2.30258509 14.566754
## 2281 10.734111 -2.30258509 10.464959
## 2282 16.605557 -2.30258509 13.397538
## 2283 15.925921 -2.30258509 14.850243
## 2284 15.815588 -2.30258509 12.908955
## 2285 17.961488 -2.30258509 14.602578
## 2286 14.206618 -2.30258509 12.862854
## 2287 13.050132 -2.30258509 10.536672
## 2288 15.923033 -2.30258509 12.663789
## 2289 15.821994 -2.30258509 12.943918
## 2290 16.607894 -2.30258509 13.437682
## 2291 18.227938 -2.30258509 14.861729
## 2292 13.066083 -2.30258509 10.666860
## 2293 14.306915 -2.30258509 13.506203
## 2294 17.968460 -2.30258509 14.657309
## 2295 14.252447 -2.30258509 12.919660
## 2296 18.226810 -2.30258509 14.912356
## 2297 15.927981 -2.30258509 12.725699
## 2298 15.828269 -2.30258509 12.998239
## 2299 16.611675 -2.30258509 13.651295
## 2300 15.837206 -2.30258509 13.103672
## 2301 15.931222 -2.30258509 12.871813
## 2302 13.081527 -2.30258509 10.851025
## 2303 9.696279 -2.30258509 13.062448
## 2304 18.225473 -2.30258509 15.046781
## 2305 15.674341 -2.30258509 14.794059
## 2306 15.677651 -2.30258509 14.890617
## 2307 15.849912 -2.30258509 13.248587
## 2308 13.618518 -2.30258509 15.136003
## 2309 10.796817 -2.30258509 10.982645
## 2310 16.615568 -2.30258509 13.766184
## 2311 13.117920 -2.30258509 10.905350
## 2312 14.318337 -2.30258509 13.677993
## 2313 14.401347 -2.30258509 13.088298
## 2314 13.616129 -2.30258509 15.042593
## 2315 15.862407 -2.30258509 13.225304
## 2316 13.381251 -2.30258509 14.809091
## 2317 13.636795 -2.30258509 12.879718
## 2318 16.625840 -2.30258509 13.649906
## 2319 15.691536 -2.30258509 14.788253
## 2320 15.928747 -2.30258509 15.137084
## 2321 14.327959 -2.30258509 13.715990
## 2322 13.158400 -2.30258509 11.029974
## 2323 15.942747 -2.30258509 12.975451
## 2324 13.953309 -2.30258509 13.167968
## 2325 17.995157 -2.30258509 14.868134
## 2326 16.634205 -2.30258509 13.639874
## 2327 15.947306 -2.30258509 12.922453
## 2328 15.894560 -2.30258509 13.439245
## 2329 15.946812 -2.30258509 15.075999
## 2330 16.224997 -2.30258509 13.114640
## 2331 15.697412 -2.30258509 14.802697
## 2332 10.895739 -2.30258509 10.998360
## 2333 16.229889 -2.30258509 13.165022
## 2334 13.669982 -2.30258509 15.132938
## 2335 10.475173 -2.30258509 8.788136
## 2336 15.953147 -2.30258509 12.971985
## 2337 14.336939 -2.30258509 13.684460
## 2338 10.902942 -2.30258509 11.085261
## 2339 11.634762 -2.30258509 13.190751
## 2340 11.405619 -2.30258509 15.173687
## 2341 12.035628 -2.30258509 13.701410
## 2342 18.010182 -2.30258509 14.864920
## 2343 13.229097 -2.30258509 11.139032
## 2344 15.960456 -2.30258509 13.000388
## 2345 15.918259 -2.30258509 13.496046
## 2346 18.218401 -2.30258509 15.026733
## 2347 15.712001 -2.30258509 14.707176
## 2348 15.929643 -2.30258509 13.450397
## 2349 10.950175 -2.30258509 11.003299
## 2350 16.238027 -2.30258509 13.044047
Testing_data_Shared3
## X sub.region Year
## 1 1017 Northern Africa 2011
## 2 679 Latin America and the Caribbean 2010
## 3 2177 Sub-Saharan Africa 2008
## 4 930 Micronesia 2007
## 5 1533 Southern Asia 2009
## 6 471 Latin America and the Caribbean 2003
## 7 2347 Sub-Saharan Africa 2011
## 8 270 Eastern Europe 2007
## 9 1211 Northern Europe 2013
## 10 597 Latin America and the Caribbean 2007
## 11 1301 South-eastern Asia 2002
## 12 1974 Sub-Saharan Africa 2003
## 13 330 Eastern Europe 2013
## 14 1799 Sub-Saharan Africa 2000
## 15 1615 Southern Europe 2001
## 16 1749 Southern Europe 2013
## 17 37 Central Asia 2000
## 18 1129 Northern Europe 2005
## 19 729 Latin America and the Caribbean 2012
## 20 878 Melanesia 2006
## 21 485 Latin America and the Caribbean 2004
## 22 1826 Sub-Saharan Africa 2000
## 23 2430 Sub-Saharan Africa 2013
## 24 975 Northern Africa 2004
## 25 2849 Western Europe 2003
## 26 2900 Western Europe 2010
## 27 2374 Sub-Saharan Africa 2012
## 28 2378 Sub-Saharan Africa 2012
## 29 554 Latin America and the Caribbean 2006
## 30 1446 South-eastern Asia 2015
## 31 2159 Sub-Saharan Africa 2007
## 32 1948 Sub-Saharan Africa 2003
## 33 2580 Western Asia 2001
## 34 1530 Southern Asia 2009
## 35 2604 Western Asia 2002
## 36 343 Eastern Europe 2015
## 37 2630 Western Asia 2004
## 38 40 Central Asia 2001
## 39 537 Latin America and the Caribbean 2005
## 40 2423 Sub-Saharan Africa 2013
## 41 248 Eastern Europe 2005
## 42 1222 Northern Europe 2014
## 43 2426 Sub-Saharan Africa 2013
## 44 2087 Sub-Saharan Africa 2006
## 45 2483 Sub-Saharan Africa 2014
## 46 2858 Western Europe 2004
## 47 1414 South-eastern Asia 2012
## 48 1304 South-eastern Asia 2002
## 49 1696 Southern Europe 2008
## 50 526 Latin America and the Caribbean 2005
## 51 2690 Western Asia 2008
## 52 1069 Northern America 2011
## 53 1426 South-eastern Asia 2013
## 54 22 Australia and New Zealand 2010
## 55 1742 Southern Europe 2012
## 56 1766 Southern Europe 2014
## 57 2241 Sub-Saharan Africa 2009
## 58 1395 South-eastern Asia 2011
## 59 2547 Sub-Saharan Africa 2015
## 60 1128 Northern Europe 2005
## 61 983 Northern Africa 2005
## 62 1791 Sub-Saharan Africa 2000
## 63 1516 Southern Asia 2007
## 64 1640 Southern Europe 2003
## 65 1639 Southern Europe 2003
## 66 843 Latin America and the Caribbean 2015
## 67 465 Latin America and the Caribbean 2003
## 68 996 Northern Africa 2007
## 69 1549 Southern Asia 2011
## 70 1200 Northern Europe 2012
## 71 1134 Northern Europe 2005
## 72 84 Central Asia 2010
## 73 1895 Sub-Saharan Africa 2002
## 74 1165 Northern Europe 2008
## 75 2300 Sub-Saharan Africa 2010
## 76 2781 Western Asia 2013
## 77 2907 Western Europe 2011
## 78 2668 Western Asia 2006
## 79 1328 South-eastern Asia 2005
## 80 557 Latin America and the Caribbean 2006
## 81 1685 Southern Europe 2007
## 82 287 Eastern Europe 2009
## 83 2662 Western Asia 2006
## 84 2377 Sub-Saharan Africa 2012
## 85 2535 Sub-Saharan Africa 2015
## 86 1522 Southern Asia 2008
## 87 858 Melanesia 2001
## 88 1840 Sub-Saharan Africa 2001
## 89 2667 Western Asia 2006
## 90 576 Latin America and the Caribbean 2007
## 91 990 Northern Africa 2006
## 92 316 Eastern Europe 2012
## 93 1075 Northern America 2014
## 94 733 Latin America and the Caribbean 2012
## 95 1314 South-eastern Asia 2003
## 96 2698 Western Asia 2008
## 97 2936 Western Europe 2015
## 98 811 Latin America and the Caribbean 2014
## 99 955 Northern Africa 2000
## 100 2330 Sub-Saharan Africa 2011
## 101 1167 Northern Europe 2008
## 102 2333 Sub-Saharan Africa 2011
## 103 1706 Southern Europe 2009
## 104 501 Latin America and the Caribbean 2004
## 105 2559 Western Asia 2000
## 106 536 Latin America and the Caribbean 2005
## 107 2741 Western Asia 2011
## 108 988 Northern Africa 2006
## 109 2785 Western Asia 2013
## 110 1067 Northern America 2010
## 111 1025 Northern Africa 2012
## 112 29 Australia and New Zealand 2014
## 113 1942 Sub-Saharan Africa 2003
## 114 838 Latin America and the Caribbean 2015
## 115 1820 Sub-Saharan Africa 2000
## 116 1652 Southern Europe 2004
## 117 2281 Sub-Saharan Africa 2010
## 118 1317 South-eastern Asia 2004
## 119 573 Latin America and the Caribbean 2007
## 120 1966 Sub-Saharan Africa 2003
## 121 369 Latin America and the Caribbean 2000
## 122 2499 Sub-Saharan Africa 2014
## 123 86 Central Asia 2010
## 124 1507 Southern Asia 2006
## 125 2375 Sub-Saharan Africa 2012
## 126 1646 Southern Europe 2004
## 127 355 Latin America and the Caribbean 2000
## 128 1843 Sub-Saharan Africa 2001
## 129 1073 Northern America 2013
## 130 361 Latin America and the Caribbean 2000
## 131 1340 South-eastern Asia 2006
## 132 1266 Polynesia 2013
## 133 2806 Western Asia 2014
## 134 1841 Sub-Saharan Africa 2001
## 135 247 Eastern Europe 2005
## 136 751 Latin America and the Caribbean 2012
## 137 219 Eastern Europe 2002
## 138 135 Eastern Asia 2004
## 139 111 Central Asia 2015
## 140 532 Latin America and the Caribbean 2005
## 141 2425 Sub-Saharan Africa 2013
## 142 408 Latin America and the Caribbean 2001
## 143 1589 Southern Asia 2015
## 144 912 Melanesia 2015
## 145 2515 Sub-Saharan Africa 2015
## 146 2178 Sub-Saharan Africa 2008
## 147 2851 Western Europe 2003
## 148 1836 Sub-Saharan Africa 2001
## 149 359 Latin America and the Caribbean 2000
## 150 2153 Sub-Saharan Africa 2007
## 151 1148 Northern Europe 2007
## 152 2042 Sub-Saharan Africa 2005
## 153 1101 Northern Europe 2002
## 154 1242 Polynesia 2002
## 155 1218 Northern Europe 2014
## 156 19 Australia and New Zealand 2009
## 157 273 Eastern Europe 2008
## 158 418 Latin America and the Caribbean 2002
## 159 1995 Sub-Saharan Africa 2004
## 160 1567 Southern Asia 2013
## 161 2467 Sub-Saharan Africa 2014
## 162 867 Melanesia 2004
## 163 686 Latin America and the Caribbean 2010
## 164 403 Latin America and the Caribbean 2001
## 165 1611 Southern Europe 2001
## 166 1040 Northern Africa 2015
## 167 1064 Northern America 2009
## 168 1801 Sub-Saharan Africa 2000
## 169 818 Latin America and the Caribbean 2014
## 170 2652 Western Asia 2005
## 171 634 Latin America and the Caribbean 2009
## 172 664 Latin America and the Caribbean 2010
## 173 719 Latin America and the Caribbean 2011
## 174 500 Latin America and the Caribbean 2004
## 175 2720 Western Asia 2009
## 176 2277 Sub-Saharan Africa 2010
## 177 423 Latin America and the Caribbean 2002
## 178 421 Latin America and the Caribbean 2002
## 179 989 Northern Africa 2006
## 180 140 Eastern Asia 2005
## 181 126 Eastern Asia 2002
## 182 998 Northern Africa 2008
## 183 2773 Western Asia 2012
## 184 2319 Sub-Saharan Africa 2011
## 185 1154 Northern Europe 2007
## 186 2625 Western Asia 2004
## 187 1536 Southern Asia 2009
## 188 504 Latin America and the Caribbean 2004
## 189 1481 Southern Asia 2003
## 190 358 Latin America and the Caribbean 2000
## 191 785 Latin America and the Caribbean 2013
## 192 2175 Sub-Saharan Africa 2008
## 193 2693 Western Asia 2008
## 194 1572 Southern Asia 2013
## 195 305 Eastern Europe 2011
## 196 1833 Sub-Saharan Africa 2000
## 197 2461 Sub-Saharan Africa 2014
## 198 981 Northern Africa 2005
## 199 2624 Western Asia 2004
## 200 129 Eastern Asia 2003
## 201 309 Eastern Europe 2011
## 202 441 Latin America and the Caribbean 2002
## 203 2738 Western Asia 2010
## 204 470 Latin America and the Caribbean 2003
## 205 2610 Western Asia 2003
## 206 1360 South-eastern Asia 2007
## 207 1822 Sub-Saharan Africa 2000
## 208 1790 Sub-Saharan Africa 2000
## 209 349 Eastern Europe 2015
## 210 894 Melanesia 2010
## 211 590 Latin America and the Caribbean 2007
## 212 1956 Sub-Saharan Africa 2003
## 213 474 Latin America and the Caribbean 2003
## 214 2216 Sub-Saharan Africa 2008
## 215 2549 Sub-Saharan Africa 2015
## 216 2761 Western Asia 2012
## 217 952 Northern Africa 2000
## 218 455 Latin America and the Caribbean 2003
## 219 2404 Sub-Saharan Africa 2012
## 220 2121 Sub-Saharan Africa 2006
## 221 1577 Southern Asia 2014
## 222 15 Australia and New Zealand 2007
## 223 62 Central Asia 2005
## 224 390 Latin America and the Caribbean 2001
## 225 1668 Southern Europe 2006
## 226 1059 Northern America 2006
## 227 381 Latin America and the Caribbean 2000
## 228 1891 Sub-Saharan Africa 2002
## 229 2125 Sub-Saharan Africa 2007
## 230 2921 Western Europe 2013
## 231 1351 South-eastern Asia 2007
## 232 2079 Sub-Saharan Africa 2006
## 233 2597 Western Asia 2002
## 234 2012 Sub-Saharan Africa 2004
## 235 1052 Northern America 2003
## 236 2110 Sub-Saharan Africa 2006
## 237 1172 Northern Europe 2009
## 238 797 Latin America and the Caribbean 2014
## 239 1596 Southern Europe 2000
## 240 961 Northern Africa 2001
## 241 334 Eastern Europe 2014
## 242 2707 Western Asia 2009
## 243 1292 South-eastern Asia 2001
## 244 2141 Sub-Saharan Africa 2007
## 245 610 Latin America and the Caribbean 2008
## 246 1265 Polynesia 2013
## 247 2081 Sub-Saharan Africa 2006
## 248 2485 Sub-Saharan Africa 2014
## 249 2816 Western Asia 2015
## 250 2265 Sub-Saharan Africa 2009
## 251 2156 Sub-Saharan Africa 2007
## 252 2755 Western Asia 2011
## 253 1294 South-eastern Asia 2001
## 254 2803 Western Asia 2014
## 255 2257 Sub-Saharan Africa 2009
## 256 1362 South-eastern Asia 2008
## 257 1633 Southern Europe 2003
## 258 1760 Southern Europe 2013
## 259 1608 Southern Europe 2001
## 260 2796 Western Asia 2014
## 261 568 Latin America and the Caribbean 2006
## 262 1002 Northern Africa 2008
## 263 743 Latin America and the Caribbean 2012
## 264 1735 Southern Europe 2011
## 265 2249 Sub-Saharan Africa 2009
## 266 1378 South-eastern Asia 2009
## 267 116 Eastern Asia 2000
## 268 2043 Sub-Saharan Africa 2005
## 269 1257 Polynesia 2009
## 270 1692 Southern Europe 2008
## 271 1463 Southern Asia 2001
## 272 1221 Northern Europe 2014
## 273 462 Latin America and the Caribbean 2003
## 274 1957 Sub-Saharan Africa 2003
## 275 2932 Western Europe 2015
## 276 2283 Sub-Saharan Africa 2010
## 277 2561 Western Asia 2000
## 278 1498 Southern Asia 2005
## 279 2221 Sub-Saharan Africa 2009
## 280 1107 Northern Europe 2002
## 281 2661 Western Asia 2006
## 282 407 Latin America and the Caribbean 2001
## 283 2372 Sub-Saharan Africa 2012
## 284 2033 Sub-Saharan Africa 2005
## 285 731 Latin America and the Caribbean 2012
## 286 185 Eastern Asia 2014
## 287 1204 Northern Europe 2012
## 288 2512 Sub-Saharan Africa 2015
## 289 493 Latin America and the Caribbean 2004
## 290 675 Latin America and the Caribbean 2010
## 291 966 Northern Africa 2002
## 292 2492 Sub-Saharan Africa 2014
## 293 1191 Northern Europe 2011
## 294 2097 Sub-Saharan Africa 2006
## 295 2017 Sub-Saharan Africa 2004
## 296 1495 Southern Asia 2005
## 297 1697 Southern Europe 2008
## 298 291 Eastern Europe 2009
## 299 653 Latin America and the Caribbean 2009
## 300 2804 Western Asia 2014
## 301 2482 Sub-Saharan Africa 2014
## 302 56 Central Asia 2004
## 303 934 Micronesia 2009
## 304 329 Eastern Europe 2013
## 305 494 Latin America and the Caribbean 2004
## 306 1758 Southern Europe 2013
## 307 2635 Western Asia 2004
## 308 2152 Sub-Saharan Africa 2007
## 309 1027 Northern Africa 2012
## 310 161 Eastern Asia 2009
## 311 2432 Sub-Saharan Africa 2013
## 312 2484 Sub-Saharan Africa 2014
## 313 127 Eastern Asia 2002
## 314 260 Eastern Europe 2006
## 315 717 Latin America and the Caribbean 2011
## 316 60 Central Asia 2005
## 317 1857 Sub-Saharan Africa 2001
## 318 2496 Sub-Saharan Africa 2014
## 319 2536 Sub-Saharan Africa 2015
## 320 181 Eastern Asia 2013
## 321 1534 Southern Asia 2009
## 322 1157 Northern Europe 2007
## 323 1642 Southern Europe 2004
## 324 1452 Southern Asia 2000
## 325 2641 Western Asia 2005
## 326 676 Latin America and the Caribbean 2010
## 327 1993 Sub-Saharan Africa 2004
## 328 2899 Western Europe 2010
## 329 611 Latin America and the Caribbean 2008
## 330 1699 Southern Europe 2008
## 331 148 Eastern Asia 2007
## 332 150 Eastern Asia 2007
## 333 121 Eastern Asia 2001
## 334 169 Eastern Asia 2011
## 335 598 Latin America and the Caribbean 2007
## 336 1491 Southern Asia 2004
## 337 108 Central Asia 2015
## 338 2578 Western Asia 2001
## 339 1580 Southern Asia 2014
## 340 1447 South-eastern Asia 2015
## 341 1115 Northern Europe 2003
## 342 2212 Sub-Saharan Africa 2008
## 343 51 Central Asia 2003
## 344 2167 Sub-Saharan Africa 2007
## 345 2513 Sub-Saharan Africa 2015
## 346 2763 Western Asia 2012
## 347 2099 Sub-Saharan Africa 2006
## 348 1783 Southern Europe 2015
## 349 2429 Sub-Saharan Africa 2013
## 350 436 Latin America and the Caribbean 2002
## 351 2137 Sub-Saharan Africa 2007
## 352 1941 Sub-Saharan Africa 2003
## 353 533 Latin America and the Caribbean 2005
## 354 1907 Sub-Saharan Africa 2002
## 355 1381 South-eastern Asia 2009
## 356 1496 Southern Asia 2005
## 357 846 Latin America and the Caribbean 2015
## 358 1095 Northern Europe 2001
## 359 1408 South-eastern Asia 2012
## 360 2363 Sub-Saharan Africa 2012
## 361 2802 Western Asia 2014
## 362 2852 Western Europe 2003
## 363 570 Latin America and the Caribbean 2007
## 364 1295 South-eastern Asia 2002
## 365 1926 Sub-Saharan Africa 2002
## 366 1570 Southern Asia 2013
## 367 1813 Sub-Saharan Africa 2000
## 368 1598 Southern Europe 2000
## 369 2658 Western Asia 2006
## 370 1192 Northern Europe 2011
## 371 1858 Sub-Saharan Africa 2001
## 372 1065 Northern America 2009
## 373 633 Latin America and the Caribbean 2009
## 374 281 Eastern Europe 2008
## 375 2768 Western Asia 2012
## 376 724 Latin America and the Caribbean 2011
## 377 2053 Sub-Saharan Africa 2005
## 378 1354 South-eastern Asia 2007
## 379 492 Latin America and the Caribbean 2004
## 380 2068 Sub-Saharan Africa 2005
## 381 2678 Western Asia 2007
## 382 1103 Northern Europe 2002
## 383 1949 Sub-Saharan Africa 2003
## 384 514 Latin America and the Caribbean 2005
## 385 1921 Sub-Saharan Africa 2002
## 386 2117 Sub-Saharan Africa 2006
## 387 2576 Western Asia 2001
## 388 1253 Polynesia 2007
## 389 2016 Sub-Saharan Africa 2004
## 390 1320 South-eastern Asia 2004
## 391 2189 Sub-Saharan Africa 2008
## 392 132 Eastern Asia 2003
## 393 2090 Sub-Saharan Africa 2006
## 394 2757 Western Asia 2011
## 395 1659 Southern Europe 2005
## 396 2181 Sub-Saharan Africa 2008
## 397 1972 Sub-Saharan Africa 2003
## 398 2342 Sub-Saharan Africa 2011
## 399 750 Latin America and the Caribbean 2012
## 400 1421 South-eastern Asia 2013
## 401 2312 Sub-Saharan Africa 2010
## 402 2225 Sub-Saharan Africa 2009
## 403 944 Micronesia 2013
## 404 1839 Sub-Saharan Africa 2001
## 405 1628 Southern Europe 2002
## 406 1392 South-eastern Asia 2010
## 407 1838 Sub-Saharan Africa 2001
## 408 2883 Western Europe 2008
## 409 1163 Northern Europe 2008
## 410 1544 Southern Asia 2010
## 411 320 Eastern Europe 2012
## 412 852 Melanesia 2000
## 413 115 Eastern Asia 2000
## 414 1474 Southern Asia 2002
## 415 2501 Sub-Saharan Africa 2014
## 416 2444 Sub-Saharan Africa 2013
## 417 2817 Western Asia 2015
## 418 2830 Western Europe 2000
## 419 882 Melanesia 2007
## 420 2207 Sub-Saharan Africa 2008
## 421 2595 Western Asia 2002
## 422 1784 Southern Europe 2015
## 423 2018 Sub-Saharan Africa 2004
## 424 2732 Western Asia 2010
## 425 1818 Sub-Saharan Africa 2000
## 426 109 Central Asia 2015
## 427 1648 Southern Europe 2004
## 428 753 Latin America and the Caribbean 2012
## 429 2841 Western Europe 2002
## 430 393 Latin America and the Caribbean 2001
## 431 648 Latin America and the Caribbean 2009
## 432 45 Central Asia 2002
## 433 112 Central Asia 2015
## 434 1051 Northern America 2002
## 435 940 Micronesia 2012
## 436 222 Eastern Europe 2002
## 437 2314 Sub-Saharan Africa 2011
## 438 158 Eastern Asia 2009
## 439 2739 Western Asia 2010
## 440 1937 Sub-Saharan Africa 2003
## 441 950 Northern Africa 2000
## 442 2434 Sub-Saharan Africa 2013
## 443 2550 Sub-Saharan Africa 2015
## 444 300 Eastern Europe 2010
## 445 2007 Sub-Saharan Africa 2004
## 446 1139 Northern Europe 2006
## 447 340 Eastern Europe 2014
## 448 2140 Sub-Saharan Africa 2007
## 449 412 Latin America and the Caribbean 2001
## 450 1676 Southern Europe 2006
## 451 99 Central Asia 2013
## 452 1667 Southern Europe 2006
## 453 783 Latin America and the Caribbean 2013
## 454 1190 Northern Europe 2011
## 455 1459 Southern Asia 2001
## 456 1021 Northern Africa 2011
## 457 1776 Southern Europe 2015
## 458 2672 Western Asia 2006
## 459 2923 Western Europe 2013
## 460 1326 South-eastern Asia 2004
## 461 1847 Sub-Saharan Africa 2001
## 462 1232 Northern Europe 2015
## 463 1018 Northern Africa 2011
## 464 2593 Western Asia 2002
## 465 383 Latin America and the Caribbean 2000
## 466 728 Latin America and the Caribbean 2012
## 467 771 Latin America and the Caribbean 2013
## 468 1111 Northern Europe 2003
## 469 484 Latin America and the Caribbean 2004
## 470 503 Latin America and the Caribbean 2004
## 471 2353 Sub-Saharan Africa 2011
## 472 2160 Sub-Saharan Africa 2007
## 473 2360 Sub-Saharan Africa 2011
## 474 1700 Southern Europe 2008
## 475 58 Central Asia 2005
## 476 1509 Southern Asia 2006
## 477 705 Latin America and the Caribbean 2011
## 478 2021 Sub-Saharan Africa 2004
## 479 342 Eastern Europe 2014
## 480 1621 Southern Europe 2002
## 481 2798 Western Asia 2014
## 482 2139 Sub-Saharan Africa 2007
## 483 2170 Sub-Saharan Africa 2008
## 484 44 Central Asia 2002
## 485 1803 Sub-Saharan Africa 2000
## 486 2892 Western Europe 2009
## 487 1124 Northern Europe 2004
## 488 313 Eastern Europe 2012
## 489 2004 Sub-Saharan Africa 2004
## 490 1256 Polynesia 2009
## 491 822 Latin America and the Caribbean 2015
## 492 1384 South-eastern Asia 2010
## 493 1035 Northern Africa 2014
## 494 81 Central Asia 2009
## 495 2771 Western Asia 2012
## 496 2194 Sub-Saharan Africa 2008
## 497 2493 Sub-Saharan Africa 2014
## 498 2779 Western Asia 2013
## 499 2376 Sub-Saharan Africa 2012
## 500 1401 South-eastern Asia 2011
## 501 2530 Sub-Saharan Africa 2015
## 502 435 Latin America and the Caribbean 2002
## 503 2298 Sub-Saharan Africa 2010
## 504 2463 Sub-Saharan Africa 2014
## 505 1786 Sub-Saharan Africa 2000
## 506 234 Eastern Europe 2004
## 507 296 Eastern Europe 2010
## 508 315 Eastern Europe 2012
## 509 1547 Southern Asia 2010
## 510 2740 Western Asia 2010
## 511 1779 Southern Europe 2015
## 512 2793 Western Asia 2014
## 513 2897 Western Europe 2010
## 514 182 Eastern Asia 2013
## 515 61 Central Asia 2005
## 516 1372 South-eastern Asia 2009
## 517 510 Latin America and the Caribbean 2005
## 518 1089 Northern Europe 2001
## 519 649 Latin America and the Caribbean 2009
## 520 1861 Sub-Saharan Africa 2001
## 521 2601 Western Asia 2002
## 522 1386 South-eastern Asia 2010
## 523 2114 Sub-Saharan Africa 2006
## 524 1637 Southern Europe 2003
## 525 2293 Sub-Saharan Africa 2010
## 526 2896 Western Europe 2010
## 527 453 Latin America and the Caribbean 2003
## 528 1983 Sub-Saharan Africa 2004
## 529 1177 Northern Europe 2009
## 530 17 Australia and New Zealand 2008
## 531 1057 Northern America 2005
## 532 2344 Sub-Saharan Africa 2011
## 533 2684 Western Asia 2007
## 534 2196 Sub-Saharan Africa 2008
## 535 1525 Southern Asia 2008
## 536 2324 Sub-Saharan Africa 2011
## 537 624 Latin America and the Caribbean 2008
## 538 1713 Southern Europe 2010
## 539 2697 Western Asia 2008
## 540 795 Latin America and the Caribbean 2014
## 541 1473 Southern Asia 2002
## 542 2820 Western Asia 2015
## 543 1940 Sub-Saharan Africa 2003
## 544 2389 Sub-Saharan Africa 2012
## 545 472 Latin America and the Caribbean 2003
## 546 2351 Sub-Saharan Africa 2011
## 547 2132 Sub-Saharan Africa 2007
## 548 802 Latin America and the Caribbean 2014
## 549 2436 Sub-Saharan Africa 2013
## 550 2456 Sub-Saharan Africa 2013
## 551 1871 Sub-Saharan Africa 2001
## 552 1694 Southern Europe 2008
## 553 938 Micronesia 2011
## 554 909 Melanesia 2014
## 555 2477 Sub-Saharan Africa 2014
## 556 363 Latin America and the Caribbean 2000
## 557 2402 Sub-Saharan Africa 2012
## 558 1267 Polynesia 2013
## 559 2792 Western Asia 2014
## 560 594 Latin America and the Caribbean 2007
## 561 1988 Sub-Saharan Africa 2004
## 562 2373 Sub-Saharan Africa 2012
## 563 702 Latin America and the Caribbean 2011
## 564 2158 Sub-Saharan Africa 2007
## 565 2673 Western Asia 2007
## 566 959 Northern Africa 2001
## 567 282 Eastern Europe 2008
## 568 2273 Sub-Saharan Africa 2010
## 569 2783 Western Asia 2013
## 570 1489 Southern Asia 2004
## 571 397 Latin America and the Caribbean 2001
## 572 2354 Sub-Saharan Africa 2011
## 573 935 Micronesia 2010
## 574 2888 Western Europe 2008
## 575 744 Latin America and the Caribbean 2012
## 576 564 Latin America and the Caribbean 2006
## 577 1121 Northern Europe 2004
## 578 2696 Western Asia 2008
## 579 478 Latin America and the Caribbean 2004
## 580 1597 Southern Europe 2000
## 581 1592 Southern Asia 2015
## 582 2290 Sub-Saharan Africa 2010
## 583 1231 Northern Europe 2015
## 584 2646 Western Asia 2005
## 585 87 Central Asia 2010
## 586 217 Eastern Europe 2002
## 587 1537 Southern Asia 2009
## 588 860 Melanesia 2002
## Country Status
## 1 Tunisia Developing
## 2 Guyana Developing
## 3 Mozambique Developing
## 4 Micronesia (Federated States of) Developing
## 5 India Developing
## 6 Uruguay Developing
## 7 Liberia Developing
## 8 Hungary Developed
## 9 Denmark Developed
## 10 Barbados Developing
## 11 Indonesia Developing
## 12 Senegal Developing
## 13 Hungary Developed
## 14 Zambia Developing
## 15 Italy Developed
## 16 Spain Developed
## 17 Uzbekistan Developing
## 18 Norway Developed
## 19 Grenada Developing
## 20 Papua New Guinea Developing
## 21 Ecuador Developing
## 22 Senegal Developing
## 23 Namibia Developing
## 24 Tunisia Developing
## 25 Switzerland Developed
## 26 Luxembourg Developed
## 27 Madagascar Developing
## 28 Somalia Developing
## 29 Suriname Developing
## 30 Malaysia Developing
## 31 Swaziland Developing
## 32 Niger Developing
## 33 Georgia Developing
## 34 Nepal Developing
## 35 Oman Developing
## 36 Bulgaria Developed
## 37 Yemen Developing
## 38 Kyrgyzstan Developing
## 39 Cuba Developing
## 40 Liberia Developing
## 41 Republic of Moldova Developing
## 42 United Kingdom of Great Britain and Northern Ireland Developed
## 43 Zambia Developing
## 44 Cameroon Developing
## 45 United Republic of Tanzania Developing
## 46 Austria Developed
## 47 Thailand Developing
## 48 Thailand Developing
## 49 Slovenia Developed
## 50 Belize Developing
## 51 Iraq Developing
## 52 Canada Developing
## 53 Malaysia Developing
## 54 Australia Developed
## 55 Montenegro Developing
## 56 Albania Developing
## 57 United Republic of Tanzania Developing
## 58 Cambodia Developing
## 59 Congo Developing
## 60 Sweden Developed
## 61 Tunisia Developing
## 62 Zimbabwe Developing
## 63 Nepal Developing
## 64 Bosnia and Herzegovina Developing
## 65 Slovenia Developed
## 66 Costa Rica Developing
## 67 El Salvador Developing
## 68 Tunisia Developing
## 69 Iran (Islamic Republic of) Developing
## 70 Estonia Developing
## 71 Estonia Developing
## 72 Kyrgyzstan Developing
## 73 Gabon Developing
## 74 Finland Developing
## 75 United Republic of Tanzania Developing
## 76 Qatar Developing
## 77 Switzerland Developed
## 78 Syrian Arab Republic Developing
## 79 Myanmar Developing
## 80 El Salvador Developing
## 81 Italy Developed
## 82 Romania Developed
## 83 Lebanon Developing
## 84 Sierra Leone Developing
## 85 Burkina Faso Developing
## 86 Nepal Developing
## 87 Fiji Developing
## 88 Zimbabwe Developing
## 89 Bahrain Developing
## 90 Uruguay Developing
## 91 Libya Developing
## 92 Bulgaria Developed
## 93 United States of America Developed
## 94 Chile Developing
## 95 Philippines Developing
## 96 Armenia Developing
## 97 Netherlands Developed
## 98 Colombia Developing
## 99 Morocco Developing
## 100 Djibouti Developing
## 101 Norway Developed
## 102 United Republic of Tanzania Developing
## 103 Slovenia Developed
## 104 Paraguay Developing
## 105 Israel Developing
## 106 Suriname Developing
## 107 Qatar Developing
## 108 Tunisia Developing
## 109 Israel Developing
## 110 United States of America Developed
## 111 Sudan Developing
## 112 Australia Developed
## 113 Madagascar Developing
## 114 Honduras Developing
## 115 Uganda Developing
## 116 Italy Developed
## 117 Swaziland Developing
## 118 Myanmar Developing
## 119 Saint Vincent and the Grenadines Developing
## 120 Chad Developing
## 121 Saint Vincent and the Grenadines Developing
## 122 Mali Developing
## 123 Kazakhstan Developing
## 124 Iran (Islamic Republic of) Developing
## 125 Sao Tome and Principe Developing
## 126 Spain Developed
## 127 Argentina Developing
## 128 Malawi Developing
## 129 United States of America Developed
## 130 Costa Rica Developing
## 131 Thailand Developing
## 132 Tonga Developing
## 133 Syrian Arab Republic Developing
## 134 Burundi Developing
## 135 Belarus Developing
## 136 Barbados Developing
## 137 Hungary Developed
## 138 China Developing
## 139 Kyrgyzstan Developing
## 140 Grenada Developing
## 141 Gabon Developing
## 142 Ecuador Developing
## 143 Bhutan Developing
## 144 Fiji Developing
## 145 Niger Developing
## 146 Comoros Developing
## 147 Germany Developed
## 148 Angola Developing
## 149 Uruguay Developing
## 150 South Africa Developing
## 151 Estonia Developing
## 152 Lesotho Developing
## 153 Lithuania Developed
## 154 Samoa Developing
## 155 Ireland Developed
## 156 Australia Developed
## 157 Ukraine Developing
## 158 Cuba Developing
## 159 Burkina Faso Developing
## 160 Nepal Developing
## 161 Seychelles Developing
## 162 Vanuatu Developing
## 163 Colombia Developing
## 164 Panama Developing
## 165 Malta Developed
## 166 Egypt Developing
## 167 Canada Developing
## 168 Lesotho Developing
## 169 Argentina Developing
## 170 Cyprus Developed
## 171 Trinidad and Tobago Developing
## 172 Honduras Developing
## 173 Cuba Developing
## 174 El Salvador Developing
## 175 Oman Developing
## 176 Gabon Developing
## 177 Guatemala Developing
## 178 Trinidad and Tobago Developing
## 179 Morocco Developing
## 180 China Developing
## 181 China Developing
## 182 Tunisia Developing
## 183 Israel Developing
## 184 Senegal Developing
## 185 Ireland Developed
## 186 Syrian Arab Republic Developing
## 187 Bangladesh Developing
## 188 Colombia Developing
## 189 Nepal Developing
## 190 Guyana Developing
## 191 Panama Developing
## 192 South Sudan Developing
## 193 Yemen Developing
## 194 Iran (Islamic Republic of) Developing
## 195 Russian Federation Developing
## 196 Togo Developing
## 197 Gabon Developing
## 198 Algeria Developing
## 199 Israel Developing
## 200 Japan Developed
## 201 Bulgaria Developed
## 202 Dominican Republic Developing
## 203 Yemen Developing
## 204 Bolivia (Plurinational State of) Developing
## 205 Iraq Developing
## 206 Lao People's Democratic Republic Developing
## 207 Kenya Developing
## 208 Botswana Developing
## 209 Ukraine Developing
## 210 Vanuatu Developing
## 211 Grenada Developing
## 212 Uganda Developing
## 213 Brazil Developing
## 214 Somalia Developing
## 215 Ethiopia Developing
## 216 Turkey Developing
## 217 Egypt Developing
## 218 Trinidad and Tobago Developing
## 219 South Sudan Developing
## 220 Djibouti Developing
## 221 Afghanistan Developing
## 222 New Zealand Developed
## 223 Turkmenistan Developing
## 224 Cuba Developing
## 225 Malta Developed
## 226 Canada Developing
## 227 Bahamas Developing
## 228 Sierra Leone Developing
## 229 Congo Developing
## 230 Switzerland Developed
## 231 Philippines Developing
## 232 Ghana Developing
## 233 Turkey Developing
## 234 Botswana Developing
## 235 United States of America Developed
## 236 United Republic of Tanzania Developing
## 237 Sweden Developed
## 238 Nicaragua Developing
## 239 Malta Developed
## 240 Egypt Developing
## 241 Czechia Developed
## 242 Kuwait Developing
## 243 Philippines Developing
## 244 Equatorial Guinea Developing
## 245 Trinidad and Tobago Developing
## 246 Samoa Developing
## 247 Sierra Leone Developing
## 248 Equatorial Guinea Developing
## 249 Oman Developing
## 250 Cameroon Developing
## 251 Democratic Republic of the Congo Developing
## 252 Azerbaijan Developing
## 253 Indonesia Developing
## 254 Saudi Arabia Developing
## 255 Central African Republic Developing
## 256 Cambodia Developing
## 257 The former Yugoslav republic of Macedonia Developing
## 258 Croatia Developed
## 259 Albania Developing
## 260 Qatar Developing
## 261 Saint Vincent and the Grenadines Developing
## 262 Sudan Developing
## 263 Costa Rica Developing
## 264 Slovenia Developed
## 265 Togo Developing
## 266 Singapore Developed
## 267 Democratic People's Republic of Korea Developing
## 268 Seychelles Developing
## 269 Tonga Developing
## 270 Spain Developed
## 271 Pakistan Developing
## 272 Iceland Developed
## 273 Paraguay Developing
## 274 Eritrea Developing
## 275 Austria Developed
## 276 Comoros Developing
## 277 Jordan Developing
## 278 India Developing
## 279 Namibia Developing
## 280 Ireland Developed
## 281 Saudi Arabia Developing
## 282 Suriname Developing
## 283 Democratic Republic of the Congo Developing
## 284 Zimbabwe Developing
## 285 Antigua and Barbuda Developing
## 286 Democratic People's Republic of Korea Developing
## 287 Ireland Developed
## 288 Gambia Developing
## 289 Venezuela (Bolivarian Republic of) Developing
## 290 Trinidad and Tobago Developing
## 291 Algeria Developing
## 292 Somalia Developing
## 293 Ireland Developed
## 294 Chad Developing
## 295 Mauritania Developing
## 296 Bhutan Developing
## 297 The former Yugoslav republic of Macedonia Developing
## 298 Belarus Developing
## 299 Barbados Developing
## 300 Azerbaijan Developing
## 301 Togo Developing
## 302 Uzbekistan Developing
## 303 Micronesia (Federated States of) Developing
## 304 Slovakia Developed
## 305 Cuba Developing
## 306 Portugal Developed
## 307 Iraq Developing
## 308 Gabon Developing
## 309 Algeria Developing
## 310 Republic of Korea Developing
## 311 South Africa Developing
## 312 Angola Developing
## 313 Democratic People's Republic of Korea Developing
## 314 Romania Developed
## 315 Grenada Developing
## 316 Uzbekistan Developing
## 317 United Republic of Tanzania Developing
## 318 Cameroon Developing
## 319 Senegal Developing
## 320 Mongolia Developing
## 321 Bhutan Developing
## 322 Finland Developing
## 323 Slovenia Developed
## 324 Nepal Developing
## 325 Lebanon Developing
## 326 Argentina Developing
## 327 Cameroon Developing
## 328 Switzerland Developed
## 329 Panama Developing
## 330 Serbia Developing
## 331 China Developing
## 332 Japan Developed
## 333 Democratic People's Republic of Korea Developing
## 334 Democratic People's Republic of Korea Developing
## 335 Peru Developing
## 336 Nepal Developing
## 337 Kazakhstan Developing
## 338 Azerbaijan Developing
## 339 Maldives Developing
## 340 Myanmar Developing
## 341 Sweden Developed
## 342 Ethiopia Developing
## 343 Tajikistan Developing
## 344 Nigeria Developing
## 345 Togo Developing
## 346 Qatar Developing
## 347 Seychelles Developing
## 348 Spain Developed
## 349 Guinea Developing
## 350 Bahamas Developing
## 351 Lesotho Developing
## 352 Gabon Developing
## 353 Chile Developing
## 354 Djibouti Developing
## 355 Viet Nam Developing
## 356 Pakistan Developing
## 357 Bahamas Developing
## 358 Denmark Developed
## 359 Indonesia Developing
## 360 Seychelles Developing
## 361 United Arab Emirates Developing
## 362 Luxembourg Developed
## 363 Trinidad and Tobago Developing
## 364 Malaysia Developing
## 365 Guinea Developing
## 366 India Developing
## 367 Burkina Faso Developing
## 368 Portugal Developed
## 369 Oman Developing
## 370 Norway Developed
## 371 Liberia Developing
## 372 United States of America Developed
## 373 Chile Developing
## 374 Republic of Moldova Developing
## 375 United Arab Emirates Developing
## 376 Belize Developing
## 377 Chad Developing
## 378 Malaysia Developing
## 379 Bahamas Developing
## 380 United Republic of Tanzania Developing
## 381 Saudi Arabia Developing
## 382 United Kingdom of Great Britain and Northern Ireland Developed
## 383 Malawi Developing
## 384 Antigua and Barbuda Developing
## 385 Nigeria Developing
## 386 Comoros Developing
## 387 Lebanon Developing
## 388 Samoa Developing
## 389 Central African Republic Developing
## 390 Timor-Leste Developing
## 391 Togo Developing
## 392 Republic of Korea Developing
## 393 Zimbabwe Developing
## 394 Kuwait Developing
## 395 Serbia Developing
## 396 Mauritius Developing
## 397 Mauritania Developing
## 398 Somalia Developing
## 399 Peru Developing
## 400 Myanmar Developing
## 401 Kenya Developing
## 402 Botswana Developing
## 403 Marshall Islands Developing
## 404 Zambia Developing
## 405 Italy Developed
## 406 Thailand Developing
## 407 Seychelles Developing
## 408 Austria Developed
## 409 Latvia Developed
## 410 Bangladesh Developing
## 411 Poland Developed
## 412 Fiji Developing
## 413 Mongolia Developing
## 414 Nepal Developing
## 415 Eritrea Developing
## 416 Comoros Developing
## 417 Lebanon Developing
## 418 Netherlands Developed
## 419 Solomon Islands Developing
## 420 Liberia Developing
## 421 Yemen Developing
## 422 Malta Developed
## 423 Djibouti Developing
## 424 Syrian Arab Republic Developing
## 425 Central African Republic Developing
## 426 Tajikistan Developing
## 427 Portugal Developed
## 428 Dominican Republic Developing
## 429 Belgium Developed
## 430 Brazil Developing
## 431 Colombia Developing
## 432 Kyrgyzstan Developing
## 433 Turkmenistan Developing
## 434 Canada Developing
## 435 Kiribati Developing
## 436 Bulgaria Developed
## 437 Niger Developing
## 438 China Developing
## 439 Iraq Developing
## 440 Zambia Developing
## 441 Sudan Developing
## 442 Burundi Developing
## 443 Democratic Republic of the Congo Developing
## 444 Czechia Developed
## 445 Kenya Developing
## 446 Estonia Developing
## 447 Belarus Developing
## 448 Liberia Developing
## 449 Bolivia (Plurinational State of) Developing
## 450 Montenegro Developing
## 451 Tajikistan Developing
## 452 Spain Developed
## 453 Colombia Developing
## 454 Denmark Developed
## 455 India Developing
## 456 Sudan Developing
## 457 Montenegro Developing
## 458 United Arab Emirates Developing
## 459 France Developing
## 460 Indonesia Developing
## 461 Cameroon Developing
## 462 Iceland Developed
## 463 Libya Developing
## 464 Jordan Developing
## 465 Dominican Republic Developing
## 466 Saint Vincent and the Grenadines Developing
## 467 Uruguay Developing
## 468 Lithuania Developed
## 469 Peru Developing
## 470 Argentina Developing
## 471 Equatorial Guinea Developing
## 472 Somalia Developing
## 473 Cabo Verde Developing
## 474 Croatia Developed
## 475 Kyrgyzstan Developing
## 476 Maldives Developing
## 477 Guatemala Developing
## 478 Somalia Developing
## 479 Slovakia Developed
## 480 Serbia Developing
## 481 Iraq Developing
## 482 Burkina Faso Developing
## 483 Equatorial Guinea Developing
## 484 Kazakhstan Developing
## 485 Guinea-Bissau Developing
## 486 Austria Developed
## 487 Estonia Developing
## 488 Romania Developed
## 489 Eritrea Developing
## 490 Samoa Developing
## 491 Trinidad and Tobago Developing
## 492 Timor-Leste Developing
## 493 Morocco Developing
## 494 Uzbekistan Developing
## 495 Syrian Arab Republic Developing
## 496 Gabon Developing
## 497 South Africa Developing
## 498 Jordan Developing
## 499 Zambia Developing
## 500 Singapore Developed
## 501 Equatorial Guinea Developing
## 502 Antigua and Barbuda Developing
## 503 Ethiopia Developing
## 504 Madagascar Developing
## 505 Angola Developing
## 506 Czechia Developed
## 507 Poland Developed
## 508 Russian Federation Developing
## 509 Pakistan Developing
## 510 Azerbaijan Developing
## 511 Slovenia Developed
## 512 Oman Developing
## 513 Germany Developed
## 514 China Developing
## 515 Kazakhstan Developing
## 516 Malaysia Developing
## 517 Panama Developing
## 518 Lithuania Developed
## 519 Brazil Developing
## 520 Sierra Leone Developing
## 521 Cyprus Developed
## 522 Malaysia Developing
## 523 Central African Republic Developing
## 524 Spain Developed
## 525 Cabo Verde Developing
## 526 Belgium Developed
## 527 Saint Lucia Developing
## 528 Madagascar Developing
## 529 Lithuania Developed
## 530 New Zealand Developed
## 531 United States of America Developed
## 532 Mali Developing
## 533 Georgia Developing
## 534 South Africa Developing
## 535 Bhutan Developing
## 536 Zambia Developing
## 537 Guyana Developing
## 538 Italy Developed
## 539 Jordan Developing
## 540 Haiti Developing
## 541 Bangladesh Developing
## 542 Cyprus Developed
## 543 Gambia Developing
## 544 Mauritius Developing
## 545 Haiti Developing
## 546 Mauritius Developing
## 547 Burundi Developing
## 548 Costa Rica Developing
## 549 Swaziland Developing
## 550 Congo Developing
## 551 Lesotho Developing
## 552 Greece Developing
## 553 Micronesia (Federated States of) Developing
## 554 Vanuatu Developing
## 555 Kenya Developing
## 556 Mexico Developing
## 557 Burundi Developing
## 558 Tuvalu Developing
## 559 Georgia Developing
## 560 Ecuador Developing
## 561 Burundi Developing
## 562 Gabon Developing
## 563 Ecuador Developing
## 564 Rwanda Developing
## 565 Jordan Developing
## 566 Algeria Developing
## 567 Czechia Developed
## 568 South Sudan Developing
## 569 Yemen Developing
## 570 Pakistan Developing
## 571 Bahamas Developing
## 572 Comoros Developing
## 573 Micronesia (Federated States of) Developing
## 574 Belgium Developed
## 575 Jamaica Developing
## 576 Ecuador Developing
## 577 United Kingdom of Great Britain and Northern Ireland Developed
## 578 Lebanon Developing
## 579 Panama Developing
## 580 Slovenia Developed
## 581 Bangladesh Developing
## 582 Guinea Developing
## 583 Ireland Developed
## 584 Qatar Developing
## 585 Tajikistan Developing
## 586 Russian Federation Developing
## 587 Maldives Developing
## 588 Papua New Guinea Developing
## Life.expectancy Adult.Mortality infant.deaths Alcohol
## 1 74.8 13 3 1.290
## 2 65.9 221 0 7.520
## 3 53.2 45 72 1.480
## 4 68.2 175 0 1.640
## 5 66.0 2 1300 2.500
## 6 75.4 121 1 5.110
## 7 62.0 266 9 3.720
## 8 73.5 176 1 12.550
## 9 81.0 75 0 9.500
## 10 74.2 113 0 8.470
## 11 66.7 189 177 0.050
## 12 59.0 251 25 0.330
## 13 75.5 139 0 10.880
## 14 43.8 614 44 2.620
## 15 79.8 75 2 9.690
## 16 82.4 6 1 9.250
## 17 67.1 189 30 1.600
## 18 81.0 73 0 6.370
## 19 73.1 146 0 8.070
## 20 68.0 299 11 0.640
## 21 74.4 148 8 3.650
## 22 57.5 25 27 0.290
## 23 66.1 232 3 0.010
## 24 74.0 15 3 1.360
## 25 85.0 72 0 10.820
## 26 86.0 73 0 11.360
## 27 64.3 235 30 0.870
## 28 53.1 336 51 0.010
## 29 69.3 199 0 4.520
## 30 75.0 123 4 3.755
## 31 50.0 51 3 5.550
## 32 52.1 28 56 0.100
## 33 73.0 121 2 2.760
## 34 67.5 183 25 0.220
## 35 73.3 13 1 0.540
## 36 74.5 137 0 3.755
## 37 62.2 247 42 0.060
## 38 67.2 217 4 2.620
## 39 77.2 19 1 4.480
## 40 61.1 258 9 0.010
## 41 67.3 248 1 10.780
## 42 81.0 71 3 10.370
## 43 63.0 328 29 2.410
## 44 53.3 394 58 5.220
## 45 67.0 34 86 0.010
## 46 79.3 86 0 12.100
## 47 74.3 154 9 6.560
## 48 71.4 192 16 5.930
## 49 78.9 96 0 10.940
## 50 69.0 191 0 6.250
## 51 69.3 167 32 0.170
## 52 81.5 68 2 8.200
## 53 74.6 128 3 0.530
## 54 81.9 64 1 10.520
## 55 75.6 11 0 0.010
## 56 77.5 8 0 4.510
## 57 56.9 368 91 3.970
## 58 67.0 19 13 2.120
## 59 64.7 267 7 3.755
## 60 85.0 66 0 6.500
## 61 74.2 14 3 1.370
## 62 46.0 665 24 1.680
## 63 66.6 194 29 0.200
## 64 75.2 12 0 4.140
## 65 76.5 119 0 11.580
## 66 79.6 95 1 3.755
## 67 69.9 29 3 3.100
## 68 74.6 12 3 1.240
## 69 74.7 93 22 0.030
## 70 76.3 135 0 0.010
## 71 72.8 189 0 15.520
## 72 68.8 199 4 2.730
## 73 59.7 315 2 8.340
## 74 79.6 94 0 10.260
## 75 57.5 36 89 4.190
## 76 77.9 7 0 1.200
## 77 82.6 55 0 9.990
## 78 73.7 123 8 0.970
## 79 63.9 224 64 0.280
## 80 75.0 211 3 2.770
## 81 81.3 63 2 8.370
## 82 73.1 158 2 10.400
## 83 74.1 1 1 1.820
## 84 49.7 411 25 0.010
## 85 59.9 26 38 3.755
## 86 67.0 189 27 0.210
## 87 67.8 221 0 1.930
## 88 45.3 686 25 1.720
## 89 75.5 79 0 2.100
## 90 75.4 124 1 6.670
## 91 72.2 134 2 0.010
## 92 73.9 139 1 10.990
## 93 79.1 14 23 8.820
## 94 79.9 84 2 6.760
## 95 67.2 217 67 4.440
## 96 73.2 14 1 3.960
## 97 81.9 57 1 3.755
## 98 74.6 144 11 4.380
## 99 68.6 16 27 0.450
## 100 61.8 268 1 0.390
## 101 86.0 67 0 6.750
## 102 58.3 348 88 4.040
## 103 79.1 9 0 10.520
## 104 71.9 165 3 6.200
## 105 78.9 76 1 2.530
## 106 68.9 25 0 4.470
## 107 77.5 74 0 1.160
## 108 74.4 12 3 1.460
## 109 82.1 61 1 2.690
## 110 78.7 15 25 8.550
## 111 63.2 235 61 0.010
## 112 82.7 6 1 9.710
## 113 59.9 268 40 0.930
## 114 74.6 147 3 3.755
## 115 46.6 554 116 10.470
## 116 89.0 66 2 8.980
## 117 53.6 459 2 4.930
## 118 63.5 228 66 0.440
## 119 71.9 17 0 5.890
## 120 48.4 43 44 0.420
## 121 79.0 186 0 4.800
## 122 57.8 272 52 0.010
## 123 67.8 236 7 6.830
## 124 72.2 139 26 0.020
## 125 66.9 194 0 0.010
## 126 81.0 79 2 11.960
## 127 74.1 137 12 7.680
## 128 43.5 599 48 1.150
## 129 78.9 16 23 8.820
## 130 77.6 98 1 4.340
## 131 73.0 168 13 6.180
## 132 73.2 137 0 0.010
## 133 64.4 294 7 0.010
## 134 51.3 385 25 6.090
## 135 68.1 252 1 11.010
## 136 75.1 12 0 8.610
## 137 72.5 184 1 13.290
## 138 73.5 11 360 3.040
## 139 71.1 166 3 3.755
## 140 71.5 169 0 8.800
## 141 64.6 255 2 8.860
## 142 73.4 158 9 4.130
## 143 69.8 211 0 3.755
## 144 69.9 188 0 3.755
## 145 61.8 22 49 3.755
## 146 61.0 255 2 0.120
## 147 78.5 9 3 11.920
## 148 45.7 44 97 2.580
## 149 75.1 131 1 6.650
## 150 54.5 486 51 8.480
## 151 73.0 189 0 17.870
## 152 44.5 675 5 2.670
## 153 71.4 22 0 11.000
## 154 76.0 174 0 3.300
## 155 81.2 66 0 10.750
## 156 81.7 66 1 10.620
## 157 67.7 273 5 9.460
## 158 77.7 19 1 4.100
## 159 52.4 323 49 4.540
## 160 69.3 162 19 0.270
## 161 73.0 17 0 0.010
## 162 69.6 169 0 0.850
## 163 73.6 15 12 4.280
## 164 75.5 124 2 5.430
## 165 77.8 79 0 5.620
## 166 79.0 159 51 3.755
## 167 81.0 72 2 8.400
## 168 49.3 543 5 3.100
## 169 76.2 118 8 7.930
## 170 78.7 65 0 11.410
## 171 71.0 183 0 6.370
## 172 73.6 156 4 3.100
## 173 78.8 92 1 4.140
## 174 70.0 215 3 2.900
## 175 75.4 18 1 0.560
## 176 62.3 294 2 8.850
## 177 69.3 21 16 2.410
## 178 69.2 192 0 5.120
## 179 71.0 133 22 0.580
## 180 73.9 99 332 2.920
## 181 72.7 16 422 2.910
## 182 74.7 12 3 1.370
## 183 81.8 6 1 2.780
## 184 64.9 26 20 0.320
## 185 79.5 75 0 13.590
## 186 73.2 131 9 0.930
## 187 69.5 144 135 0.010
## 188 72.8 148 16 4.260
## 189 64.3 22 38 0.200
## 190 65.4 246 1 6.630
## 191 77.5 118 1 6.890
## 192 53.6 377 27 3.755
## 193 63.8 238 37 0.040
## 194 75.3 83 20 0.010
## 195 69.4 242 14 11.040
## 196 54.6 339 14 1.100
## 197 65.5 237 2 0.010
## 198 72.9 136 19 0.500
## 199 81.0 69 1 2.230
## 200 81.9 7 3 7.830
## 201 73.7 144 1 10.670
## 202 71.4 189 7 6.430
## 203 64.4 233 35 0.060
## 204 64.5 23 13 2.370
## 205 66.5 213 30 0.070
## 206 62.1 234 11 5.000
## 207 51.9 428 77 1.510
## 208 47.8 647 2 5.370
## 209 71.3 195 4 3.755
## 210 71.0 145 0 0.910
## 211 71.9 164 0 9.060
## 212 51.0 53 109 10.160
## 213 71.8 172 88 6.950
## 214 51.9 336 52 0.010
## 215 64.8 225 136 3.755
## 216 74.8 112 19 1.540
## 217 68.8 171 65 0.140
## 218 69.3 191 0 5.530
## 219 56.0 347 26 3.755
## 220 59.1 39 2 1.020
## 221 59.9 271 64 0.010
## 222 81.0 76 0 9.190
## 223 63.3 248 6 2.850
## 224 76.7 115 1 4.040
## 225 79.3 66 0 8.840
## 226 85.0 75 2 8.200
## 227 72.6 192 0 12.150
## 228 48.0 513 30 4.060
## 229 58.2 354 8 2.750
## 230 83.0 52 0 9.730
## 231 67.5 216 62 4.190
## 232 59.4 288 41 1.700
## 233 71.2 138 38 1.470
## 234 48.1 652 2 4.900
## 235 77.2 114 28 8.400
## 236 53.1 437 96 4.070
## 237 81.4 62 0 7.300
## 238 74.5 148 2 3.550
## 239 77.5 8 0 5.590
## 240 68.6 177 63 0.140
## 241 78.6 88 0 12.680
## 242 73.9 87 1 0.100
## 243 66.8 221 68 4.540
## 244 55.0 339 3 6.860
## 245 69.9 185 0 6.410
## 246 73.6 131 0 0.010
## 247 44.3 464 30 3.800
## 248 57.9 32 3 0.010
## 249 76.6 99 1 3.755
## 250 54.8 373 54 5.890
## 251 55.7 299 236 1.520
## 252 71.6 125 5 1.980
## 253 66.5 188 182 0.060
## 254 74.4 88 7 0.090
## 255 48.6 453 17 1.560
## 256 65.6 199 16 2.240
## 257 73.2 126 0 2.400
## 258 77.7 97 0 12.390
## 259 73.6 14 1 4.250
## 260 78.1 69 0 1.150
## 261 71.7 173 0 5.930
## 262 61.8 251 64 2.010
## 263 79.2 97 1 3.340
## 264 79.8 84 0 10.610
## 265 56.7 336 14 1.240
## 266 81.7 62 0 1.730
## 267 65.4 192 18 3.520
## 268 72.2 185 0 7.820
## 269 72.5 147 0 1.080
## 270 81.3 7 2 10.240
## 271 63.0 189 377 0.010
## 272 82.5 49 0 7.450
## 273 71.7 166 4 6.640
## 274 58.8 343 7 0.560
## 275 81.5 65 0 3.755
## 276 61.8 246 2 0.150
## 277 71.7 133 4 0.490
## 278 64.4 211 1500 1.270
## 279 62.4 36 3 7.990
## 280 77.4 88 0 14.170
## 281 73.2 1 9 0.080
## 282 67.7 219 0 4.230
## 283 58.3 277 239 0.010
## 284 44.6 717 28 4.140
## 285 75.9 134 0 8.180
## 286 73.0 142 6 0.010
## 287 85.0 69 0 11.490
## 288 61.1 262 3 3.755
## 289 73.3 161 10 7.550
## 290 74.0 179 0 6.500
## 291 71.6 145 20 0.360
## 292 54.3 321 51 0.010
## 293 84.0 7 0 11.720
## 294 48.5 414 45 0.410
## 295 64.0 224 8 0.010
## 296 65.0 254 1 0.730
## 297 74.2 111 0 1.720
## 298 70.0 226 0 14.090
## 299 74.6 19 0 8.460
## 300 72.5 119 5 0.010
## 301 59.7 285 13 0.010
## 302 67.8 183 24 1.590
## 303 68.5 172 0 2.060
## 304 76.1 114 0 9.890
## 305 77.3 17 1 4.380
## 306 86.0 79 0 10.000
## 307 67.2 21 30 0.320
## 308 61.6 291 2 9.020
## 309 75.1 113 21 0.660
## 310 86.0 75 2 8.970
## 311 69.0 371 43 7.340
## 312 51.7 348 67 8.330
## 313 67.6 167 14 3.080
## 314 72.5 157 3 8.510
## 315 72.9 15 0 7.840
## 316 67.3 192 24 1.780
## 317 49.6 46 110 4.090
## 318 56.7 366 47 0.010
## 319 66.7 188 19 3.755
## 320 68.1 227 1 0.010
## 321 67.4 232 1 0.170
## 322 79.3 96 0 10.450
## 323 77.2 113 0 10.000
## 324 62.5 238 46 0.080
## 325 73.9 11 1 1.940
## 326 75.5 121 10 8.150
## 327 52.1 412 59 4.710
## 328 82.3 57 0 10.010
## 329 76.5 127 1 6.740
## 330 74.0 132 1 9.540
## 331 74.4 96 285 3.880
## 332 82.6 67 3 7.290
## 333 66.6 177 16 2.530
## 334 69.4 153 8 3.390
## 335 74.0 133 11 4.290
## 336 64.7 218 35 0.210
## 337 72.0 198 4 3.755
## 338 67.5 151 8 0.510
## 339 78.2 62 0 0.010
## 340 66.6 199 39 3.755
## 341 82.0 69 0 6.900
## 342 59.8 289 177 1.130
## 343 65.2 182 11 0.360
## 344 55.0 388 542 9.550
## 345 59.9 287 13 3.755
## 346 77.8 72 0 1.130
## 347 72.2 185 0 8.120
## 348 82.8 56 1 3.755
## 349 58.8 284 27 0.010
## 350 73.1 19 0 10.850
## 351 46.2 633 4 2.690
## 352 59.7 32 2 6.470
## 353 78.4 93 2 7.570
## 354 57.9 322 2 1.030
## 355 75.0 134 29 3.860
## 356 62.9 2 364 0.040
## 357 76.1 147 0 3.755
## 358 77.0 12 0 11.560
## 359 68.5 183 129 0.080
## 360 72.7 174 0 0.010
## 361 76.9 77 1 1.910
## 362 78.6 92 0 12.610
## 363 69.7 187 0 6.370
## 364 72.9 14 4 0.490
## 365 52.9 337 35 0.210
## 366 67.6 187 1000 3.110
## 367 51.0 348 48 3.710
## 368 76.6 11 1 11.890
## 369 74.7 115 1 0.580
## 370 81.1 67 0 6.530
## 371 51.5 333 14 4.400
## 372 78.5 18 26 8.710
## 373 79.3 91 2 7.670
## 374 68.9 228 1 9.070
## 375 76.5 8 1 1.750
## 376 69.4 188 0 6.640
## 377 48.6 46 45 0.420
## 378 73.7 133 3 0.430
## 379 73.8 174 0 10.100
## 380 52.2 449 97 3.940
## 381 73.2 99 9 0.100
## 382 78.2 87 4 11.440
## 383 44.6 613 43 1.080
## 384 74.6 147 0 8.150
## 385 47.7 49 571 9.610
## 386 63.0 262 2 0.250
## 387 73.0 11 1 2.190
## 388 72.2 149 0 3.850
## 389 45.7 512 17 1.500
## 390 62.3 229 3 0.380
## 391 56.2 344 14 1.330
## 392 77.6 95 3 9.660
## 393 45.4 7 28 4.570
## 394 74.2 85 1 0.020
## 395 73.0 135 1 9.600
## 396 72.7 166 0 2.490
## 397 63.0 226 8 0.010
## 398 53.1 329 51 0.010
## 399 74.9 129 9 5.140
## 400 66.2 22 42 0.700
## 401 63.0 294 61 1.730
## 402 59.2 393 2 5.010
## 403 72.1 144 0 0.010
## 404 44.6 611 43 2.610
## 405 80.0 72 2 9.250
## 406 73.9 158 10 5.950
## 407 72.0 187 0 6.720
## 408 84.0 76 0 12.000
## 409 71.9 199 0 11.840
## 410 69.9 142 126 0.010
## 411 76.8 125 2 10.810
## 412 67.7 221 0 2.050
## 413 62.8 274 2 2.790
## 414 63.1 238 40 0.190
## 415 64.4 261 5 0.010
## 416 62.9 233 1 0.010
## 417 74.9 98 1 3.755
## 418 78.1 84 1 10.060
## 419 67.6 2 0 0.850
## 420 58.6 281 10 3.880
## 421 61.5 25 45 0.070
## 422 81.7 54 0 3.755
## 423 58.1 326 2 1.180
## 424 73.7 127 7 0.780
## 425 46.0 49 16 1.510
## 426 69.7 161 10 3.755
## 427 78.0 99 0 13.450
## 428 72.1 174 6 5.930
## 429 78.0 99 1 11.290
## 430 71.0 179 103 7.130
## 431 73.6 15 13 4.340
## 432 66.7 215 4 3.310
## 433 66.3 215 6 3.755
## 434 79.5 79 2 7.700
## 435 65.7 24 0 0.010
## 436 71.8 157 1 10.200
## 437 59.4 241 50 0.150
## 438 74.9 93 248 4.880
## 439 76.0 145 32 0.190
## 440 46.4 64 39 2.330
## 441 58.6 284 71 1.760
## 442 58.6 33 22 0.010
## 443 59.8 258 236 3.755
## 444 77.5 99 0 12.690
## 445 53.0 432 72 1.430
## 446 73.0 188 0 16.580
## 447 72.0 199 0 13.940
## 448 57.9 286 10 4.030
## 449 63.3 238 14 2.200
## 450 73.8 13 0 5.380
## 451 69.3 163 10 0.010
## 452 88.0 73 2 11.860
## 453 74.4 145 11 4.410
## 454 79.7 79 0 10.470
## 455 62.9 222 1800 1.000
## 456 62.7 241 61 2.120
## 457 76.1 16 0 3.755
## 458 75.4 89 1 1.740
## 459 82.0 81 3 11.100
## 460 65.3 213 174 0.060
## 461 51.5 41 61 4.430
## 462 82.7 49 0 3.755
## 463 71.3 161 2 0.010
## 464 72.1 129 4 0.540
## 465 72.0 176 7 6.580
## 466 72.8 159 0 6.930
## 467 76.8 117 0 5.820
## 468 71.6 22 0 11.290
## 469 72.2 151 14 4.270
## 470 74.7 13 11 7.630
## 471 56.2 344 3 10.990
## 472 51.5 34 52 0.010
## 473 72.6 122 0 5.070
## 474 76.0 116 0 12.060
## 475 66.9 224 4 2.810
## 476 75.0 88 0 1.620
## 477 71.1 193 11 2.160
## 478 51.2 341 49 0.010
## 479 76.4 113 0 10.600
## 480 72.9 133 1 6.950
## 481 67.9 199 32 0.010
## 482 55.3 293 46 4.580
## 483 55.4 338 3 8.340
## 484 64.7 276 8 5.990
## 485 52.1 3 5 2.840
## 486 82.0 77 0 11.300
## 487 72.3 195 0 15.070
## 488 74.4 138 2 9.580
## 489 59.1 342 7 0.640
## 490 76.0 172 0 2.880
## 491 71.2 17 0 3.755
## 492 66.9 163 2 0.100
## 493 74.1 96 18 0.430
## 494 68.0 183 21 2.560
## 495 62.8 32 7 0.010
## 496 61.6 298 2 8.750
## 497 62.0 347 42 7.380
## 498 73.9 114 4 0.400
## 499 59.2 349 29 2.590
## 500 82.2 6 0 1.800
## 501 58.2 32 3 3.755
## 502 74.0 153 0 7.210
## 503 61.8 261 162 1.340
## 504 65.1 225 29 0.010
## 505 45.3 48 97 1.850
## 506 75.8 116 0 13.240
## 507 76.3 13 2 10.590
## 508 69.6 237 14 10.990
## 509 65.1 172 372 0.040
## 510 71.1 13 5 1.980
## 511 88.0 74 0 3.755
## 512 76.4 11 1 0.400
## 513 81.0 76 2 11.200
## 514 75.6 88 185 5.790
## 515 64.6 294 8 6.940
## 516 74.0 131 3 0.470
## 517 75.8 122 1 5.530
## 518 71.2 21 0 10.200
## 519 73.6 157 57 7.330
## 520 41.0 519 30 4.210
## 521 78.4 68 0 11.680
## 522 74.1 131 3 0.490
## 523 46.3 56 17 1.540
## 524 79.4 83 2 12.090
## 525 72.5 123 0 4.750
## 526 80.0 81 0 10.220
## 527 72.2 171 0 12.550
## 528 64.0 267 38 0.810
## 529 72.2 192 0 12.400
## 530 81.0 75 0 9.490
## 531 77.5 112 28 8.520
## 532 56.8 271 54 0.610
## 533 74.4 12 1 8.650
## 534 55.3 473 50 8.190
## 535 67.0 234 1 0.210
## 536 58.2 366 29 2.570
## 537 66.3 218 1 7.320
## 538 81.8 6 2 6.950
## 539 73.1 119 4 0.610
## 540 63.1 245 14 0.010
## 541 66.3 164 207 0.010
## 542 85.0 52 0 3.755
## 543 57.0 297 3 2.470
## 544 73.9 154 0 0.010
## 545 59.7 3 18 6.640
## 546 73.6 158 0 3.030
## 547 54.8 355 24 4.540
## 548 79.5 96 1 3.450
## 549 57.6 393 2 0.010
## 550 63.9 274 7 0.010
## 551 47.8 586 5 2.860
## 552 79.9 77 0 9.510
## 553 68.9 169 0 1.890
## 554 71.7 134 0 0.010
## 555 62.9 255 56 0.010
## 556 74.8 129 55 4.990
## 557 58.0 312 22 0.010
## 558 72.1 144 0 0.010
## 559 74.5 125 1 6.130
## 560 74.7 14 7 3.630
## 561 52.6 378 24 5.720
## 562 63.5 276 2 8.300
## 563 75.3 131 7 3.990
## 564 59.6 295 20 6.780
## 565 73.0 12 4 0.600
## 566 71.4 145 20 0.230
## 567 77.0 16 0 13.250
## 568 55.0 359 27 3.755
## 569 65.4 226 36 0.040
## 570 63.7 183 364 0.010
## 571 72.9 189 0 11.640
## 572 62.2 241 2 0.120
## 573 68.7 171 0 1.760
## 574 79.5 87 0 10.470
## 575 75.3 138 1 3.650
## 576 74.4 144 8 3.520
## 577 78.8 83 4 12.220
## 578 74.5 98 1 1.670
## 579 75.8 123 1 5.690
## 580 76.0 122 0 11.900
## 581 71.8 129 92 3.755
## 582 57.8 291 29 0.200
## 583 81.4 64 0 3.755
## 584 76.6 84 0 1.180
## 585 67.3 171 10 0.320
## 586 64.8 313 20 10.870
## 587 76.3 75 0 1.590
## 588 59.3 327 11 0.610
## percentage.expenditure Hepatitis.B.x Measles BMI under.five.deaths Polio
## 1 6.232120e+02 98.0 11 57.4 3 98
## 2 4.802859e+01 95.0 0 42.4 1 95
## 3 7.969158e-01 75.0 4 19.7 104 74
## 4 0.000000e+00 9.0 0 64.7 0 79
## 5 8.441863e-01 37.0 56188 15.4 1700 73
## 6 1.608400e+02 91.0 0 57.0 1 91
## 7 6.044658e+01 77.0 279 25.0 12 77
## 8 1.633433e+02 98.0 0 59.9 1 99
## 9 1.026176e+04 93.0 17 58.1 0 94
## 10 1.641310e+03 93.0 0 48.4 0 93
## 11 4.317867e+01 63.0 14492 16.7 222 8
## 12 6.221978e+01 71.0 1519 18.7 44 73
## 13 1.551952e+02 96.0 1 63.6 1 99
## 14 4.561688e+01 86.0 30930 16.8 72 85
## 15 3.122230e+00 95.0 0 55.7 3 96
## 16 4.236805e+02 95.0 131 65.4 2 96
## 17 4.850942e+01 71.5 80 34.8 36 99
## 18 1.179253e+04 95.0 0 56.5 0 91
## 19 8.660000e+02 97.0 0 45.6 0 98
## 20 1.266142e+02 71.0 1 41.9 14 67
## 21 1.637920e+01 88.0 0 46.5 9 9
## 22 5.397369e+00 86.0 5839 17.5 50 49
## 23 7.606551e+02 89.0 1028 34.1 3 89
## 24 3.797659e+02 96.0 1 51.4 4 97
## 25 8.422768e+02 64.0 574 52.3 0 95
## 26 2.267252e+03 94.0 0 59.2 0 96
## 27 5.997914e+01 7.0 2 19.0 42 71
## 28 0.000000e+00 84.0 9983 22.9 82 47
## 29 7.280017e+01 84.0 0 51.8 0 84
## 30 0.000000e+00 99.0 1318 4.6 4 99
## 31 4.336650e+01 92.0 0 28.5 4 88
## 32 2.026877e+01 71.0 54190 14.6 121 44
## 33 5.710319e+01 61.0 35 46.5 2 83
## 34 6.193570e+00 89.0 189 15.9 32 93
## 35 5.859171e+02 99.0 5 47.3 1 99
## 36 0.000000e+00 92.0 0 65.7 1 91
## 37 0.000000e+00 43.0 12708 33.3 56 72
## 38 0.000000e+00 57.0 17 36.0 5 99
## 39 5.189359e+02 95.0 0 53.8 1 99
## 40 4.504892e+01 76.0 0 26.1 11 75
## 41 0.000000e+00 99.0 6 48.3 1 99
## 42 0.000000e+00 93.0 133 66.0 4 95
## 43 2.062306e+01 79.0 35 22.3 42 74
## 44 9.624971e-01 81.0 196 23.8 91 78
## 45 0.000000e+00 97.0 88 23.2 121 97
## 46 5.316877e+03 83.0 15 52.2 0 83
## 47 8.010505e+02 98.0 5197 3.1 11 99
## 48 2.763810e+01 95.0 10315 2.2 19 97
## 49 3.929589e+02 96.0 0 55.8 0 97
## 50 3.657999e+02 96.0 0 43.8 0 96
## 51 1.921563e+02 66.0 5494 54.5 38 71
## 52 9.719280e+02 7.0 803 64.7 2 87
## 53 1.106780e+02 96.0 195 38.5 4 97
## 54 8.875786e+03 92.0 70 63.9 1 92
## 55 6.481332e+02 9.0 0 6.2 0 94
## 56 4.287491e+02 98.0 0 57.2 1 98
## 57 0.000000e+00 85.0 1574 2.2 135 88
## 58 6.018592e+01 88.0 722 17.0 15 87
## 59 0.000000e+00 8.0 1359 27.4 10 8
## 60 5.990392e+02 95.0 13 55.3 0 98
## 61 3.795140e+02 97.0 15 52.2 4 98
## 62 0.000000e+00 79.0 1483 25.5 39 78
## 63 5.222907e+01 82.0 1415 14.9 38 82
## 64 3.986518e+01 93.0 18 49.4 0 87
## 65 2.033252e+02 93.0 0 52.9 0 95
## 66 0.000000e+00 92.0 0 6.5 1 92
## 67 4.001343e+02 94.0 0 47.8 4 93
## 68 4.696283e+02 98.0 4 53.9 4 98
## 69 0.000000e+00 99.0 73 54.8 25 99
## 70 2.263104e+03 94.0 4 58.5 0 94
## 71 1.535045e+02 95.0 2 55.5 0 96
## 72 0.000000e+00 96.0 0 4.7 4 88
## 73 2.269040e+01 76.0 110 29.2 3 44
## 74 6.788811e+02 94.0 5 59.4 0 97
## 75 0.000000e+00 91.0 167 2.7 131 94
## 76 5.150735e+02 97.0 73 67.7 0 99
## 77 1.882287e+04 88.5 621 55.8 0 96
## 78 1.226523e+02 83.0 517 48.5 10 83
## 79 2.793843e+00 62.0 314 16.4 87 86
## 80 5.774563e+01 96.0 0 5.1 3 96
## 81 5.228822e+03 97.0 321 59.4 2 97
## 82 1.496374e+01 95.0 8 56.3 3 95
## 83 5.345796e+02 78.0 956 61.4 1 75
## 84 5.456034e+01 91.0 678 22.7 35 91
## 85 0.000000e+00 91.0 99 19.4 61 91
## 86 7.027113e+01 82.0 2089 15.4 35 82
## 87 2.071191e+01 98.0 17 51.2 0 92
## 88 0.000000e+00 76.0 529 25.9 39 76
## 89 1.707374e+02 98.0 3 56.8 0 98
## 90 1.447306e+01 94.0 0 59.5 1 94
## 91 4.934153e+02 98.0 1 56.7 3 98
## 92 8.514507e+02 95.0 1 63.9 1 95
## 93 0.000000e+00 92.0 667 69.1 27 93
## 94 2.260778e+03 9.0 0 61.8 2 9
## 95 9.011493e-01 52.0 10511 19.2 87 85
## 96 2.888898e+00 89.0 0 5.1 1 91
## 97 0.000000e+00 94.0 7 62.1 1 95
## 98 1.435488e+03 9.0 0 57.2 12 9
## 99 6.342140e+01 43.0 7368 44.8 32 95
## 100 2.035975e+01 87.0 49 32.7 2 87
## 101 1.707131e+03 94.0 4 58.0 0 94
## 102 0.000000e+00 9.0 1622 21.3 128 88
## 103 3.505389e+03 95.0 0 56.4 0 96
## 104 2.060083e+01 9.0 0 42.0 4 92
## 105 1.999341e+02 98.0 36 58.3 1 93
## 106 4.189207e+02 83.0 0 51.1 0 84
## 107 4.409171e+03 93.0 101 66.5 0 92
## 108 4.201154e+02 99.0 3 53.1 4 99
## 109 4.279896e+03 97.0 50 64.2 1 96
## 110 0.000000e+00 92.0 63 66.9 30 93
## 111 2.205222e+02 92.0 8523 43.5 89 92
## 112 1.076936e+04 91.0 340 66.1 1 92
## 113 3.712895e+01 61.0 62233 15.0 60 65
## 114 0.000000e+00 97.0 0 51.0 4 97
## 115 2.259447e+01 86.0 42554 13.0 191 55
## 116 4.270915e+03 96.0 599 57.6 3 97
## 117 5.693671e+01 89.0 313 29.7 4 89
## 118 4.154516e+00 39.0 1329 15.7 90 92
## 119 0.000000e+00 99.0 0 46.6 0 99
## 120 3.979244e+00 71.0 15801 14.8 77 36
## 121 0.000000e+00 86.0 0 4.1 0 99
## 122 4.656232e+01 73.0 290 23.2 85 74
## 123 1.115163e+01 99.0 4 49.2 8 98
## 124 0.000000e+00 98.0 220 49.4 30 99
## 125 8.198048e+00 96.0 0 28.5 0 96
## 126 3.715370e+03 97.0 26 59.9 2 97
## 127 1.349025e+03 86.0 6 54.0 14 88
## 128 1.279761e+01 86.0 150 14.4 80 86
## 129 0.000000e+00 91.0 187 68.6 27 93
## 130 9.417819e+01 89.0 0 45.4 1 8
## 131 4.339211e+02 96.0 3588 23.6 15 98
## 132 5.849450e+02 82.0 0 74.3 0 84
## 133 0.000000e+00 47.0 594 56.2 8 52
## 134 1.061918e+01 86.0 0 13.0 40 72
## 135 4.565008e+01 99.0 1 56.7 1 98
## 136 2.600044e+02 87.0 0 52.2 0 88
## 137 8.986198e+00 98.0 0 57.1 1 98
## 138 1.586685e+00 79.0 70549 23.4 427 87
## 139 0.000000e+00 97.0 17779 44.9 3 97
## 140 1.195549e+02 99.0 0 4.5 0 99
## 141 1.548759e+02 79.0 122 35.2 3 77
## 142 1.458874e+01 69.0 2 44.3 10 9
## 143 0.000000e+00 99.0 11 24.5 0 98
## 144 0.000000e+00 99.0 0 62.7 0 99
## 145 0.000000e+00 65.0 7693 19.3 87 65
## 146 9.336789e+01 81.0 0 2.6 2 81
## 147 5.826157e+02 9.0 779 56.6 4 96
## 148 3.035994e+01 86.0 9046 15.8 159 41
## 149 6.459584e+02 92.0 0 55.0 1 92
## 150 8.054901e+02 83.0 31 45.0 79 79
## 151 1.904125e+03 95.0 1 56.3 0 95
## 152 5.790370e+01 87.0 0 27.4 6 88
## 153 5.619169e+02 94.0 103 57.5 0 97
## 154 2.081688e+02 86.0 0 67.4 0 85
## 155 7.463670e+02 95.0 33 62.1 0 96
## 156 7.172275e+03 94.0 104 63.4 1 92
## 157 4.564587e+02 84.0 48 57.6 6 91
## 158 3.347672e+02 98.0 0 51.3 1 98
## 159 5.696108e+01 76.0 77 13.7 91 83
## 160 8.015505e+01 92.0 1861 18.0 24 92
## 161 1.511046e+02 99.0 0 36.2 0 99
## 162 3.341673e+02 63.0 0 44.1 0 67
## 163 1.132436e+02 88.0 0 54.2 15 88
## 164 7.320514e+00 98.0 0 46.9 2 95
## 165 1.300150e+02 83.0 2 62.8 0 95
## 166 0.000000e+00 93.0 5432 61.1 60 93
## 167 8.649499e+02 42.0 14 63.6 2 89
## 168 2.986616e+01 86.0 660 24.9 7 82
## 169 8.473717e+02 94.0 1 62.2 9 92
## 170 1.562521e+03 88.0 1 55.3 0 98
## 171 1.280896e+02 9.0 0 41.1 0 9
## 172 3.021058e+02 97.0 0 46.8 5 97
## 173 1.020646e+02 96.0 0 58.4 1 99
## 174 3.986058e+02 9.0 0 48.6 3 9
## 175 1.040629e+03 98.0 19 51.5 1 96
## 176 1.453183e+02 67.0 1 33.5 3 68
## 177 2.525041e+01 89.0 0 41.7 20 82
## 178 7.203912e+01 5.0 0 35.2 1 96
## 179 1.277632e+02 95.0 1217 49.9 25 97
## 180 1.716596e+02 84.0 124219 24.1 392 87
## 181 1.063590e+02 7.0 58341 21.9 511 86
## 182 5.308452e+01 99.0 2 54.7 3 99
## 183 3.830185e+03 97.0 211 63.8 1 94
## 184 1.431052e+00 92.0 18 22.2 31 89
## 185 9.797553e+03 95.0 64 56.6 0 92
## 186 1.021130e+01 82.0 189 46.8 10 84
## 187 5.326400e+01 97.0 718 14.6 173 97
## 188 4.217956e+01 89.0 0 49.8 19 89
## 189 2.790965e+00 2.0 13344 12.9 50 76
## 190 1.675481e+01 86.0 0 35.7 1 79
## 191 1.694467e+03 8.0 0 56.3 1 81
## 192 0.000000e+00 81.0 0 43.5 42 93
## 193 0.000000e+00 78.0 7 35.7 47 78
## 194 0.000000e+00 99.0 189 57.2 23 98
## 195 1.847649e+02 97.0 629 58.1 17 97
## 196 2.029644e+00 86.0 3578 16.6 22 63
## 197 7.152817e+02 7.0 33 35.8 3 68
## 198 2.548923e+00 83.0 2302 48.9 22 88
## 199 1.895343e+03 99.0 116 6.1 1 95
## 200 5.787254e+02 83.0 8286 23.4 5 97
## 201 8.751495e+02 96.0 157 63.3 1 95
## 202 4.673592e+00 63.0 0 45.1 8 74
## 203 0.000000e+00 76.0 510 37.2 45 77
## 204 0.000000e+00 8.0 0 44.7 17 82
## 205 0.000000e+00 63.0 0 51.3 37 73
## 206 0.000000e+00 5.0 1678 16.1 15 46
## 207 6.816856e-01 86.0 21002 14.4 121 8
## 208 2.508916e+02 86.0 2672 29.9 4 97
## 209 0.000000e+00 22.0 105 61.3 5 51
## 210 4.718627e+02 62.0 0 49.1 0 66
## 211 9.519376e+01 96.0 0 41.8 0 96
## 212 4.426792e+00 44.0 29429 13.9 173 57
## 213 1.585781e+01 97.0 2 46.1 100 99
## 214 0.000000e+00 81.0 1081 21.1 84 4
## 215 0.000000e+00 77.0 17745 17.6 194 75
## 216 2.075120e+01 97.0 349 63.7 22 97
## 217 0.000000e+00 98.0 2633 5.7 82 98
## 218 7.872216e+01 76.0 0 36.0 1 91
## 219 3.833823e+01 84.0 1952 43.5 40 64
## 220 1.214812e+02 81.0 49 3.6 2 72
## 221 7.352358e+01 62.0 492 18.6 86 58
## 222 6.063107e+02 88.0 25 63.2 0 88
## 223 2.198886e+00 99.0 0 4.7 8 99
## 224 3.225863e+02 98.0 0 5.4 1 99
## 225 2.380700e+03 86.0 1 65.6 0 83
## 226 7.711818e+02 14.0 13 61.9 2 95
## 227 0.000000e+00 86.0 0 54.4 0 91
## 228 3.659115e+01 76.0 568 17.9 48 54
## 229 0.000000e+00 64.0 84 22.8 11 71
## 230 1.909905e+04 94.0 175 56.6 0 96
## 231 1.373275e+02 87.0 530 21.1 80 87
## 232 1.290263e+02 84.0 420 23.0 62 84
## 233 3.555729e+01 72.0 7823 55.1 46 78
## 234 4.695824e+02 91.0 1 32.2 4 96
## 235 0.000000e+00 92.0 56 62.4 33 91
## 236 0.000000e+00 9.0 2362 18.6 145 91
## 237 6.821071e+02 95.0 3 56.9 0 98
## 238 4.731238e+02 98.0 0 53.2 3 99
## 239 1.343547e+02 89.0 2 62.3 0 94
## 240 0.000000e+00 99.0 2150 51.2 78 99
## 241 0.000000e+00 99.0 222 65.6 0 99
## 242 3.001628e+03 99.0 0 67.9 1 99
## 243 6.902042e+01 45.0 7360 18.3 89 76
## 244 1.024520e+03 81.5 5 2.9 4 54
## 245 1.902693e+03 9.0 0 4.2 0 91
## 246 6.983523e+02 6.0 0 73.8 0 62
## 247 3.800076e+01 81.0 33 19.7 46 65
## 248 1.340477e+01 2.0 13 24.0 4 24
## 249 0.000000e+00 99.0 0 54.6 1 99
## 250 9.042541e+00 8.0 251 25.4 85 79
## 251 0.000000e+00 7.0 55577 17.8 326 72
## 252 2.631427e+02 84.0 0 48.8 6 91
## 253 3.395837e+01 62.0 3825 16.0 229 77
## 254 2.017643e+03 98.0 154 67.3 9 98
## 255 4.045157e+01 42.0 11 19.8 25 45
## 256 5.310009e+01 91.0 4211 15.3 18 91
## 257 0.000000e+00 93.0 18 54.1 0 96
## 258 1.899107e+03 96.0 0 62.5 0 96
## 259 9.620557e+01 96.0 18 46.0 1 97
## 260 5.063513e+03 89.0 46 68.4 0 99
## 261 0.000000e+00 99.0 0 45.7 0 99
## 262 1.286363e+02 78.0 129 43.5 95 85
## 263 2.568237e+03 91.0 0 57.5 1 9
## 264 3.343026e+03 96.0 22 57.6 0 96
## 265 7.709551e+01 78.0 425 2.9 22 78
## 266 4.629307e+02 96.0 16 31.5 0 97
## 267 0.000000e+00 93.0 0 25.2 25 93
## 268 2.146531e+01 99.0 0 3.1 0 99
## 269 4.783806e+00 84.0 0 72.1 0 86
## 270 5.596535e+03 97.0 297 62.3 2 97
## 271 1.766663e+00 91.5 3849 16.9 483 68
## 272 8.254021e+03 93.0 0 6.6 0 9
## 273 1.554233e+02 86.0 0 41.3 4 86
## 274 6.913998e+00 91.0 376 13.3 10 95
## 275 0.000000e+00 93.0 309 57.6 0 93
## 276 4.730422e+01 74.0 0 21.6 2 82
## 277 2.272966e+02 93.0 32 54.0 4 94
## 278 3.509637e+00 8.0 36711 13.5 2000 65
## 279 5.756748e+02 80.0 4076 31.0 4 83
## 280 5.092384e+03 96.0 243 52.9 0 83
## 281 1.395455e+03 96.0 807 6.9 10 96
## 282 1.912135e+02 86.0 0 48.3 0 65
## 283 0.000000e+00 75.0 72029 2.1 317 76
## 284 8.717409e+00 65.0 420 27.5 43 69
## 285 2.156230e+03 98.0 0 45.7 0 97
## 286 0.000000e+00 93.0 3 32.4 8 99
## 287 6.616695e+03 95.0 107 6.5 0 95
## 288 0.000000e+00 97.0 71 27.3 5 96
## 289 0.000000e+00 82.0 0 55.9 11 83
## 290 1.389773e+03 9.0 0 42.0 0 91
## 291 1.485120e+02 92.5 5862 46.1 23 86
## 292 0.000000e+00 42.0 10229 23.8 80 47
## 293 6.386954e+03 95.0 285 59.7 0 95
## 294 6.267226e+01 81.0 1594 15.7 80 49
## 295 5.003783e+00 76.0 5039 23.6 12 68
## 296 1.455965e+02 95.0 11 16.7 1 95
## 297 0.000000e+00 97.0 27 56.4 0 96
## 298 4.347985e+02 98.0 0 58.7 1 98
## 299 3.271618e+02 93.0 0 49.9 0 93
## 300 3.061824e+02 94.0 0 51.5 6 97
## 301 4.877350e+00 87.0 577 23.7 20 85
## 302 3.441887e+01 99.0 75 37.0 29 99
## 303 0.000000e+00 89.0 0 65.8 0 81
## 304 0.000000e+00 98.0 0 57.8 0 98
## 305 4.484255e+00 99.0 0 53.0 1 98
## 306 2.698018e+03 98.0 1 6.2 0 98
## 307 4.412060e+01 62.0 9081 51.9 37 69
## 308 5.454390e+02 75.0 0 31.9 3 78
## 309 5.559261e+02 95.0 18 56.1 24 95
## 310 0.000000e+00 94.0 17 29.1 2 95
## 311 9.785905e+02 7.0 25 49.5 54 73
## 312 2.396561e+01 64.0 11699 22.7 101 68
## 313 0.000000e+00 92.0 0 26.2 18 99
## 314 6.656428e+02 99.0 3196 54.4 4 97
## 315 1.156716e+01 94.0 0 44.7 0 95
## 316 4.013342e+01 99.0 737 37.5 28 99
## 317 0.000000e+00 86.0 11847 16.4 173 65
## 318 6.139264e+01 87.0 831 28.4 71 86
## 319 0.000000e+00 89.0 58 24.3 26 85
## 320 2.411959e+02 98.0 0 5.4 1 98
## 321 2.748907e+01 93.0 6 19.5 1 93
## 322 6.147132e+03 95.0 0 59.0 0 97
## 323 2.353785e+02 93.0 0 53.5 0 94
## 324 1.791234e+01 97.0 9397 11.4 62 74
## 325 6.300541e+02 77.0 618 6.8 1 74
## 326 1.876110e+02 94.0 17 59.8 11 95
## 327 7.177302e+00 76.0 358 22.8 94 72
## 328 2.198591e+03 88.0 77 55.4 0 96
## 329 9.568230e+02 86.0 0 52.7 2 86
## 330 9.633238e+01 93.0 2 55.8 1 95
## 331 3.126625e+02 92.0 109023 25.7 332 94
## 332 6.599995e+03 92.0 0 25.4 4 97
## 333 0.000000e+00 89.0 0 25.7 21 98
## 334 0.000000e+00 94.0 0 3.8 10 99
## 335 5.164037e+02 93.0 0 5.2 15 93
## 336 3.193187e+01 27.0 12074 13.4 47 8
## 337 0.000000e+00 98.0 526 53.1 5 98
## 338 4.104190e+00 90.5 574 42.6 10 77
## 339 2.051749e+03 99.0 0 26.2 0 99
## 340 0.000000e+00 89.0 6 23.8 50 89
## 341 5.067411e+03 96.5 3 54.4 0 99
## 342 3.855783e+01 52.0 3511 14.9 270 63
## 343 1.325724e+01 58.0 2144 32.5 14 82
## 344 1.044746e+02 42.0 2613 2.4 863 54
## 345 0.000000e+00 88.0 20 24.3 20 88
## 346 5.163329e+03 93.0 160 67.0 0 93
## 347 1.023739e+02 99.0 10 3.7 0 99
## 348 0.000000e+00 97.0 115 66.6 1 97
## 349 5.140669e+00 63.0 53 22.2 41 63
## 350 0.000000e+00 89.0 0 56.0 0 93
## 351 9.184327e+00 9.0 2 28.3 6 87
## 352 3.522324e+02 71.0 0 29.8 3 44
## 353 9.549645e+02 93.0 0 57.4 2 92
## 354 1.346662e+01 76.0 50 29.0 2 62
## 355 0.000000e+00 94.0 6582 13.4 35 97
## 356 3.059321e+01 7.0 2981 18.9 459 78
## 357 0.000000e+00 95.0 0 64.5 0 95
## 358 5.304832e+02 95.5 11 52.8 0 97
## 359 2.544688e+02 83.0 15489 24.7 154 84
## 360 1.772634e+02 99.0 0 34.8 0 98
## 361 3.862683e+03 99.0 344 62.4 1 99
## 362 1.011139e+04 95.0 1 55.8 0 99
## 363 1.368837e+02 89.0 0 39.3 0 9
## 364 2.167029e+02 95.0 408 27.9 4 94
## 365 2.133782e+01 76.0 2151 17.3 56 56
## 366 6.767230e+01 7.0 13822 17.5 1300 82
## 367 1.983930e+01 86.0 6074 12.2 92 45
## 368 1.673280e+02 58.0 45 5.1 1 96
## 369 7.851141e+01 99.0 13 5.1 1 98
## 370 2.773551e+02 94.0 39 59.4 0 94
## 371 1.672143e+01 86.0 1379 2.4 20 54
## 372 0.000000e+00 92.0 71 66.3 31 93
## 373 1.815259e+02 94.0 1 59.9 2 94
## 374 0.000000e+00 97.0 0 49.5 1 96
## 375 3.663765e+03 96.0 132 58.6 1 96
## 376 6.056287e+02 95.0 0 47.8 0 95
## 377 8.936065e+00 82.5 2 15.4 79 37
## 378 4.099813e+02 96.0 394 32.5 4 97
## 379 0.000000e+00 93.0 0 57.4 0 92
## 380 0.000000e+00 9.0 23 18.1 149 91
## 381 1.307890e+03 96.0 4648 61.6 10 96
## 382 0.000000e+00 96.0 314 58.8 4 91
## 383 4.375316e+00 84.0 167 15.2 70 85
## 384 1.455608e+03 99.0 0 41.4 0 98
## 385 1.713775e+01 76.0 42007 17.8 928 4
## 386 7.702840e+01 69.0 85 19.6 2 69
## 387 5.106035e+02 8.0 8 58.6 1 8
## 388 4.773638e+01 46.0 0 7.9 0 49
## 389 4.150112e+01 76.0 1233 17.9 26 45
## 390 8.415789e+00 94.0 41 13.2 3 57
## 391 6.935925e+01 24.0 187 2.4 22 8
## 392 0.000000e+00 91.0 33 26.2 3 94
## 393 3.426217e+01 68.0 212 27.9 45 71
## 394 2.785098e+03 99.0 32 69.0 1 99
## 395 5.031116e+02 65.0 2 53.9 1 98
## 396 6.648982e+00 99.0 12 29.7 0 99
## 397 2.965371e+01 71.0 3611 22.9 12 75
## 398 0.000000e+00 82.0 17298 22.4 82 49
## 399 8.859858e+02 95.0 0 53.6 11 94
## 400 3.833793e+01 75.0 1010 22.1 55 76
## 401 5.658984e+01 9.0 95 18.9 89 9
## 402 4.267856e+02 94.0 184 34.7 3 96
## 403 8.718783e+02 8.0 0 81.6 0 79
## 404 4.683027e+01 86.0 16997 17.1 70 86
## 405 2.883335e+03 95.0 9385 56.4 3 96
## 406 7.168509e+01 98.0 2583 27.9 12 99
## 407 6.437036e+02 96.0 0 27.6 0 96
## 408 8.329732e+03 83.0 448 54.2 0 83
## 409 2.534022e+02 93.0 3 58.1 0 94
## 410 6.265945e+01 94.0 788 15.2 161 94
## 411 2.300401e+02 97.0 71 59.7 2 95
## 412 3.125835e+01 98.0 0 5.2 0 91
## 413 5.643139e+01 93.0 925 38.5 3 94
## 414 2.318395e+01 90.5 6749 12.4 54 72
## 415 0.000000e+00 94.0 127 18.0 8 94
## 416 6.157444e+01 88.0 0 23.2 2 85
## 417 0.000000e+00 81.0 39 66.1 1 75
## 418 2.944640e+03 33.0 1019 51.8 1 97
## 419 2.890135e+01 9.0 0 43.8 0 93
## 420 4.003344e+01 64.0 1 23.4 14 79
## 421 0.000000e+00 31.0 890 32.2 61 64
## 422 0.000000e+00 95.0 2 69.6 0 97
## 423 1.060355e+02 76.0 71 29.8 2 64
## 424 0.000000e+00 84.0 26 52.3 9 83
## 425 3.078383e+01 86.0 3207 16.5 25 38
## 426 0.000000e+00 96.0 3 4.7 11 96
## 427 2.761000e+02 94.0 5 53.3 1 95
## 428 8.571307e+02 74.0 0 55.8 7 85
## 429 3.203178e+02 6.0 0 59.0 1 96
## 430 1.494802e+02 91.0 1 44.5 118 99
## 431 9.416464e+02 92.0 0 53.5 15 92
## 432 0.000000e+00 99.0 2 36.5 5 99
## 433 0.000000e+00 99.0 0 48.6 7 99
## 434 3.895856e+03 88.0 6 59.3 2 88
## 435 1.474550e+02 94.0 0 76.2 0 92
## 436 3.326778e+01 88.0 0 58.1 1 94
## 437 3.222493e+01 75.0 771 17.7 93 4
## 438 5.028349e+01 99.0 52461 27.3 288 99
## 439 2.182252e+01 72.0 492 55.8 39 74
## 440 6.578997e+01 71.0 881 17.6 62 85
## 441 3.086001e+01 93.0 2875 43.5 109 62
## 442 4.015128e+01 96.0 0 17.6 32 96
## 443 0.000000e+00 81.0 5020 21.6 308 78
## 444 0.000000e+00 99.0 0 63.6 0 99
## 445 3.629775e+01 73.0 20 15.9 112 73
## 446 2.443511e+02 95.0 27 55.9 0 95
## 447 1.147111e+03 97.0 64 61.7 0 97
## 448 3.686899e+00 81.5 1 22.9 14 67
## 449 0.000000e+00 77.0 0 43.3 19 71
## 450 5.957307e+02 9.0 0 56.5 0 9
## 451 1.041916e+00 96.0 1 39.0 11 97
## 452 4.460390e+03 97.0 362 61.1 2 98
## 453 1.516255e+01 91.0 1 56.4 13 91
## 454 1.025111e+04 94.0 84 57.4 0 91
## 455 1.900341e+01 91.5 51780 11.8 2400 58
## 456 1.966892e+02 93.0 5616 43.5 91 93
## 457 0.000000e+00 82.0 0 61.8 0 89
## 458 3.749942e+03 92.0 0 55.8 1 94
## 459 6.646954e+03 74.0 272 61.6 3 99
## 460 5.536107e+01 64.0 29171 18.2 237 79
## 461 4.173629e+01 86.0 23934 21.3 99 61
## 462 0.000000e+00 94.0 0 61.0 0 92
## 463 3.611567e+01 98.0 0 6.9 2 98
## 464 2.591572e+02 95.0 19 55.5 4 95
## 465 4.479248e+01 68.0 253 43.1 9 71
## 466 0.000000e+00 96.0 0 51.2 0 96
## 467 4.828039e+02 94.0 0 62.9 0 94
## 468 8.099710e+01 95.0 1 57.8 0 91
## 469 3.569394e+02 92.0 0 48.1 18 81
## 470 7.193664e+02 81.0 0 56.3 12 91
## 471 1.493051e+03 82.0 0 22.6 4 39
## 472 0.000000e+00 81.5 1149 2.7 84 4
## 473 4.409153e+00 9.0 0 28.2 0 9
## 474 2.425404e+03 97.0 51 59.4 0 96
## 475 0.000000e+00 97.0 53 38.0 4 98
## 476 6.598499e+02 98.0 47 18.7 0 98
## 477 4.577746e+02 88.0 0 47.9 14 88
## 478 0.000000e+00 76.0 12008 19.4 80 3
## 479 0.000000e+00 97.0 0 58.4 0 97
## 480 2.926142e+02 91.0 63 52.2 1 95
## 481 4.352408e+01 62.0 1317 58.5 39 67
## 482 7.392731e+01 89.0 12 15.1 83 93
## 483 1.705679e+03 81.0 436 21.3 4 55
## 484 1.451023e+02 95.0 18 44.8 9 95
## 485 6.699419e+00 86.0 0 17.4 9 52
## 486 8.053558e+03 83.0 49 54.7 0 83
## 487 1.011201e+02 9.0 0 55.2 0 95
## 488 1.078358e+03 96.0 7450 58.4 2 92
## 489 1.026097e+01 84.0 24 13.6 10 98
## 490 4.212368e+01 44.0 0 72.0 0 45
## 491 0.000000e+00 9.0 0 47.1 0 88
## 492 3.858377e+01 72.0 50 15.5 3 72
## 493 1.987343e+02 99.0 10 57.5 21 99
## 494 9.281480e+01 98.0 0 4.0 24 99
## 495 0.000000e+00 43.0 13 54.2 9 47
## 496 1.105422e+01 82.0 3 32.4 3 81
## 497 9.220507e+02 8.0 66 5.3 52 77
## 498 5.466235e+02 98.0 120 64.0 4 98
## 499 1.969152e+02 78.0 896 21.7 43 7
## 500 6.380001e+02 96.0 148 32.1 0 96
## 501 0.000000e+00 16.0 1250 24.5 4 17
## 502 9.274076e+02 99.0 0 39.5 0 93
## 503 6.773374e+01 62.0 4235 15.6 243 69
## 504 5.339066e+00 73.0 3 2.0 39 73
## 505 1.588149e+01 86.0 2219 15.4 160 3
## 506 0.000000e+00 98.0 17 6.8 0 96
## 507 2.204917e+02 98.0 13 58.4 2 96
## 508 1.788226e+02 97.0 2123 58.7 16 98
## 509 6.675150e-01 82.0 4321 21.9 461 82
## 510 2.465686e+02 8.0 0 48.0 6 85
## 511 0.000000e+00 94.0 18 6.1 0 95
## 512 1.661914e+02 99.0 0 53.5 1 99
## 513 7.584079e+03 88.0 780 59.9 3 94
## 514 9.955532e+00 99.0 26883 3.9 216 99
## 515 3.518603e+02 94.0 16118 46.3 9 99
## 516 4.315452e+02 96.0 153 34.4 4 97
## 517 6.239101e+02 92.0 0 5.3 2 88
## 518 4.287209e+01 95.0 7 57.2 0 97
## 519 5.645234e+02 99.0 0 51.1 64 99
## 520 3.334691e+01 86.0 649 17.5 48 38
## 521 1.128051e+03 88.0 0 53.8 0 98
## 522 6.556660e+01 96.0 73 35.3 4 96
## 523 4.690118e+01 81.0 3 18.6 26 47
## 524 3.205020e+03 81.0 256 59.3 2 99
## 525 2.868907e+02 98.0 0 27.5 0 99
## 526 6.657356e+02 97.0 40 61.9 1 98
## 527 0.000000e+00 84.0 0 38.4 0 91
## 528 2.372796e+01 71.0 35558 15.4 58 74
## 529 1.446529e+03 95.0 0 59.7 0 98
## 530 6.761289e+03 9.0 0 63.8 0 89
## 531 0.000000e+00 93.0 66 63.8 33 92
## 532 1.018114e+02 66.0 24 21.3 90 72
## 533 1.061647e+02 94.0 44 49.9 1 88
## 534 7.800336e+02 76.0 39 45.7 75 77
## 535 3.026676e+02 96.0 7 18.8 1 96
## 536 1.830462e+02 81.0 13234 21.2 44 83
## 537 4.933279e+02 93.0 0 4.9 1 93
## 538 5.219669e+03 96.0 372 61.0 2 96
## 539 5.352786e+02 97.0 2 6.1 4 98
## 540 5.103249e+00 48.0 0 48.8 19 55
## 541 3.972288e-01 90.5 3484 11.2 280 83
## 542 0.000000e+00 97.0 0 6.3 0 97
## 543 0.000000e+00 94.0 119 19.7 6 87
## 544 9.151859e+02 98.0 0 31.8 0 98
## 545 4.425687e+01 86.0 0 36.5 25 56
## 546 9.188072e+02 98.0 2 31.3 0 98
## 547 1.726595e+00 99.0 43 14.8 36 93
## 548 3.845129e+02 91.0 1 59.5 1 91
## 549 7.089557e+02 98.0 0 31.2 3 98
## 550 0.000000e+00 85.0 124 26.2 10 85
## 551 3.857187e+01 86.0 217 25.4 7 78
## 552 3.682887e+03 95.0 1 62.4 0 99
## 553 0.000000e+00 83.0 0 67.0 0 83
## 554 5.648167e+02 64.0 10 52.5 0 65
## 555 1.709627e+02 92.0 354 21.3 79 93
## 556 1.022840e+01 97.0 30 52.4 66 97
## 557 3.873171e+01 96.0 49 17.1 33 96
## 558 7.828120e+01 9.0 0 79.3 0 9
## 559 2.214829e+02 91.0 3188 55.3 1 91
## 560 1.960468e+01 94.0 0 48.6 9 95
## 561 1.122655e+01 83.0 2 13.8 38 76
## 562 8.053925e+02 82.0 2 34.6 3 8
## 563 3.447412e+02 88.0 257 51.4 8 85
## 564 7.409772e+00 97.0 26 16.5 30 98
## 565 3.732629e+02 98.0 41 59.3 4 98
## 566 1.479861e+02 93.5 2686 45.3 24 89
## 567 0.000000e+00 99.0 2 62.6 0 99
## 568 0.000000e+00 83.0 0 43.5 41 93
## 569 0.000000e+00 73.0 400 39.6 46 67
## 570 2.898323e+01 65.0 4248 18.4 461 65
## 571 0.000000e+00 21.0 0 55.2 0 98
## 572 5.965965e+01 83.0 3 22.1 2 85
## 573 0.000000e+00 88.0 0 66.4 0 85
## 574 7.191052e+03 98.0 98 61.3 1 99
## 575 3.717109e+01 96.0 0 52.0 1 96
## 576 1.913983e+01 96.0 0 47.9 9 92
## 577 0.000000e+00 94.0 189 6.1 4 92
## 578 6.913925e+01 81.0 24 62.5 1 75
## 579 5.276085e+02 95.0 0 49.5 2 92
## 580 1.614474e+02 89.0 0 51.2 0 93
## 581 0.000000e+00 97.0 240 18.3 113 97
## 582 2.974734e+01 64.0 45 2.8 44 62
## 583 0.000000e+00 95.0 4 62.8 0 95
## 584 4.582476e+03 97.0 74 65.1 0 98
## 585 4.334100e+01 93.0 0 36.6 12 95
## 586 2.665417e+02 81.0 580 54.5 24 97
## 587 1.005030e+02 98.0 6 21.2 0 98
## 588 1.109803e+02 6.0 17620 38.9 14 54
## Total.expenditure Diphtheria HIV.AIDS Population.x thinness..1.19.years
## 1 7.150 98 0.1 1761467.0 6.4
## 2 6.600 95 0.4 746556.0 5.6
## 3 4.910 75 12.6 22846758.0 3.7
## 4 11.990 79 0.1 96311.0 0.2
## 5 4.380 74 0.2 121427132.0 27.0
## 6 6.520 91 0.1 3325637.0 1.7
## 7 11.230 77 1.5 47167.0 7.2
## 8 7.510 99 0.1 15578.0 1.9
## 9 11.250 94 0.1 5614932.0 1.1
## 10 5.640 93 0.1 271444.0 3.9
## 11 2.270 7 0.1 2175859.0 11.0
## 12 5.400 73 0.7 16799.0 11.8
## 13 7.530 99 0.1 989382.0 1.7
## 14 7.160 85 18.7 1531221.0 7.5
## 15 8.110 93 0.1 569741.0 0.5
## 16 9.100 96 0.1 466245.0 0.6
## 17 5.290 99 0.1 24654.0 3.4
## 18 8.890 91 0.1 4623291.0 0.8
## 19 6.360 97 0.1 115912.0 3.8
## 20 5.920 72 1.5 647272.0 1.4
## 21 6.220 88 0.3 1359647.0 1.5
## 22 4.630 52 0.5 988452.0 12.3
## 23 8.530 89 2.5 231652.0 9.0
## 24 5.630 97 0.1 11761.0 6.4
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## 454 1.870 91 0.1 557572.0 1.1
## 455 4.500 59 0.3 171477855.0 27.5
## 456 8.300 93 0.3 35167314.0 3.3
## 457 5.755 89 0.1 622159.0 1.8
## 458 2.330 92 0.1 4898954.0 5.1
## 459 11.560 99 0.1 6599857.0 0.6
## 460 2.370 71 0.1 223614649.0 1.9
## 461 4.700 63 7.9 15671927.0 7.5
## 462 5.755 92 0.1 33815.0 1.0
## 463 4.770 98 0.1 6188132.0 5.6
## 464 9.680 95 0.1 5287488.0 3.9
## 465 5.900 78 2.5 8562622.0 3.8
## 466 8.480 96 0.1 1312212.5 3.5
## 467 8.680 94 0.1 3485.0 1.5
## 468 6.460 94 0.1 3415213.0 3.2
## 469 4.560 86 0.4 27273194.0 1.3
## 470 6.840 98 0.1 38728696.0 1.1
## 471 3.290 41 7.7 99429.0 8.9
## 472 5.755 4 0.9 11118092.0 7.3
## 473 4.600 9 0.3 5867.0 7.3
## 474 7.700 96 0.1 443458.0 1.7
## 475 5.820 98 0.1 3134685.0 3.4
## 476 7.370 98 0.1 333.0 14.3
## 477 6.280 88 0.4 14948919.0 1.2
## 478 5.755 3 0.9 10117354.0 7.6
## 479 8.500 97 0.1 9670489.5 1.2
## 480 8.900 95 0.1 7496522.0 2.7
## 481 5.540 64 0.1 3568.0 5.3
## 482 6.630 89 1.7 1425221.0 9.8
## 483 2.310 42 6.3 868418.0 9.3
## 484 3.610 95 0.1 14858948.0 2.6
## 485 4.940 49 3.1 1243229.0 1.2
## 486 11.190 83 0.1 8343323.0 1.7
## 487 5.130 94 0.1 136255.0 2.2
## 488 5.480 91 0.1 25835.0 2.8
## 489 3.140 98 1.8 3858623.0 9.6
## 490 5.400 49 0.1 184826.0 0.2
## 491 5.755 96 0.3 13692.0 5.7
## 492 0.920 72 0.1 119591.0 11.5
## 493 5.910 99 0.1 3431882.0 6.4
## 494 6.310 98 0.2 277674.0 3.1
## 495 3.250 45 0.1 24271.0 6.3
## 496 2.540 82 8.9 1536411.0 6.8
## 497 8.800 77 3.7 54146734.7 4.9
## 498 7.230 98 0.1 8413464.0 3.9
## 499 4.910 78 5.6 14699937.0 6.5
## 500 3.930 96 0.1 5183688.0 2.1
## 501 5.755 16 4.2 1175389.0 8.4
## 502 4.410 98 0.1 77195.0 3.6
## 503 6.860 61 1.7 877267.0 11.0
## 504 3.400 73 0.3 2358981.0 7.2
## 505 2.790 28 2.0 1644924.0 1.9
## 506 6.900 98 0.1 10197101.0 2.1
## 507 6.880 99 0.1 3842794.0 2.1
## 508 6.880 97 0.3 14321676.0 2.3
## 509 3.200 82 0.1 1756182.0 2.2
## 510 5.330 81 0.1 954332.0 2.8
## 511 5.755 95 0.1 263531.0 1.4
## 512 3.550 99 0.1 4009267.0 7.1
## 513 11.250 95 0.1 8177693.0 1.1
## 514 5.390 99 0.1 135738.0 3.8
## 515 4.700 98 0.1 1514729.0 2.4
## 516 3.970 97 0.1 2765383.0 8.3
## 517 7.480 92 0.1 333465.0 2.1
## 518 6.260 95 0.1 347818.0 3.3
## 519 8.650 99 0.1 194895996.0 3.0
## 520 11.830 38 1.5 4739147.0 1.1
## 521 6.120 98 0.1 976966.0 0.9
## 522 3.990 96 0.1 28112289.0 8.2
## 523 3.990 51 10.0 421758.0 9.6
## 524 7.990 98 0.1 42187645.0 0.6
## 525 4.830 99 0.4 52384.0 7.4
## 526 1.170 98 0.1 1895586.0 0.9
## 527 6.100 9 0.2 1112868.5 4.4
## 528 4.890 78 0.6 1782997.0 8.2
## 529 7.530 98 0.1 3162916.0 2.8
## 530 1.700 89 0.1 4259800.0 0.3
## 531 15.150 96 0.1 32312.0 0.7
## 532 6.590 66 1.5 1554989.0 8.5
## 533 8.170 98 0.1 482.0 2.7
## 534 7.750 79 23.5 49557573.3 8.9
## 535 6.580 96 0.4 795.0 17.1
## 536 4.260 81 6.3 14264756.0 6.6
## 537 7.460 93 0.8 746314.0 5.6
## 538 9.420 96 0.1 59277417.0 0.5
## 539 8.780 97 0.1 6489822.0 3.8
## 540 7.560 48 0.5 1572466.0 3.9
## 541 2.590 83 0.1 1366667.0 2.5
## 542 5.755 97 0.1 116985.0 1.0
## 543 4.220 87 2.7 1823369.0 9.6
## 544 4.760 98 0.1 1255882.0 7.1
## 545 5.320 53 4.6 8976552.0 4.5
## 546 5.200 98 0.1 125244.0 7.1
## 547 1.300 99 3.4 7939573.0 8.0
## 548 9.310 91 0.1 4757575.0 1.7
## 549 9.660 98 9.8 1271456.0 4.5
## 550 5.900 85 3.0 1772723.0 7.7
## 551 7.530 78 31.2 1885955.0 11.1
## 552 9.760 99 0.1 1177841.0 0.8
## 553 13.760 84 0.1 14656.0 0.2
## 554 5.200 64 0.1 25885.0 1.5
## 555 5.720 92 2.9 462425.0 7.8
## 556 4.980 97 0.1 11719673.0 2.0
## 557 8.210 96 1.2 931971.0 7.5
## 558 16.610 9 0.1 1819.0 0.2
## 559 7.420 91 0.1 3727.0 2.7
## 560 5.940 96 0.2 1425453.0 1.4
## 561 7.100 83 4.8 7182451.0 8.4
## 562 3.130 82 4.9 1756817.0 6.3
## 563 5.920 88 0.1 15177355.0 1.3
## 564 8.490 97 5.0 944742.0 6.8
## 565 8.350 98 0.1 6193191.0 3.8
## 566 3.840 89 0.1 31592153.0 6.4
## 567 6.820 99 0.1 10384603.0 1.9
## 568 5.755 93 4.0 167192.0 3.3
## 569 5.780 73 0.1 2012321.0 13.7
## 570 2.560 65 0.1 15783.0 21.4
## 571 5.150 99 0.2 571293.0 2.7
## 572 6.100 83 0.2 76569.0 7.0
## 573 13.830 85 0.1 12652.0 0.2
## 574 9.600 99 0.1 179973.0 0.8
## 575 5.660 96 0.5 284992.0 1.8
## 576 5.860 96 0.3 1396748.0 1.4
## 577 7.980 92 0.1 459191.0 0.7
## 578 8.700 81 0.1 411147.0 4.7
## 579 8.900 95 0.2 3269541.0 2.2
## 580 8.260 91 0.1 1988925.0 2.2
## 581 5.755 97 0.1 1612886.0 17.9
## 582 4.550 64 2.2 179417.0 8.2
## 583 5.755 95 0.1 4676835.0 0.3
## 584 3.100 97 0.1 848710.0 4.8
## 585 6.400 93 0.2 764163.0 3.7
## 586 5.990 97 0.3 1453646.0 2.7
## 587 9.220 98 0.1 36.0 14.1
## 588 7.690 61 1.4 5862316.0 1.5
## thinness.5.9.years Income.composition.of.resources Schooling region
## 1 6.3 0.714 14.5 Africa
## 2 5.3 0.618 10.2 Americas
## 3 3.7 0.372 8.8 Africa
## 4 0.2 0.625 11.0 Oceania
## 5 27.8 0.563 10.5 Asia
## 6 1.6 0.747 15.0 Americas
## 7 7.0 0.406 9.5 Africa
## 8 1.9 0.809 15.3 Europe
## 9 0.9 0.924 18.7 Europe
## 10 3.9 0.771 15.0 Americas
## 11 11.1 0.608 10.6 Asia
## 12 11.7 0.401 5.9 Africa
## 13 1.7 0.824 15.4 Europe
## 14 7.5 0.418 9.6 Africa
## 15 0.5 0.828 14.9 Europe
## 16 0.5 0.874 17.5 Europe
## 17 3.4 0.000 10.6 Asia
## 18 0.7 0.929 17.6 Europe
## 19 3.8 0.744 15.8 Americas
## 20 1.4 0.454 8.2 Oceania
## 21 1.3 0.682 12.7 Americas
## 22 12.3 0.378 5.2 Africa
## 23 8.9 0.625 11.6 Africa
## 24 6.3 0.673 13.6 Africa
## 25 0.5 0.889 15.0 Europe
## 26 0.9 0.884 13.7 Europe
## 27 7.3 0.506 10.2 Africa
## 28 6.7 0.677 12.3 Africa
## 29 3.4 0.678 11.5 Americas
## 30 7.3 0.787 13.1 Asia
## 31 6.7 0.508 10.5 Africa
## 32 12.2 0.266 3.0 Africa
## 33 3.1 0.673 11.7 Asia
## 34 17.4 0.502 10.5 Asia
## 35 6.8 0.716 11.0 Asia
## 36 1.8 0.792 15.0 Europe
## 37 13.9 0.464 8.4 Asia
## 38 3.6 0.593 11.8 Asia
## 39 3.3 0.719 14.2 Americas
## 40 6.7 0.419 9.8 Africa
## 41 3.3 0.677 12.3 Europe
## 42 0.5 0.677 12.3 Europe
## 43 6.2 0.565 12.5 Africa
## 44 6.8 0.456 8.2 Africa
## 45 6.6 0.677 12.3 Africa
## 46 1.9 0.841 14.7 Europe
## 47 8.1 0.729 13.7 Asia
## 48 9.5 0.657 11.5 Asia
## 49 1.7 0.869 16.9 Europe
## 50 3.5 0.695 12.8 Americas
## 51 5.1 0.638 10.3 Asia
## 52 0.5 0.903 15.9 Americas
## 53 7.6 0.779 12.9 Asia
## 54 0.6 0.927 19.5 Oceania
## 55 1.9 0.797 15.1 Europe
## 56 1.3 0.761 14.2 Europe
## 57 7.2 0.677 12.3 Africa
## 58 11.2 0.533 10.7 Asia
## 59 7.1 0.590 11.1 Africa
## 60 1.3 0.890 16.0 Europe
## 61 6.3 0.683 13.9 Africa
## 62 11.2 0.434 9.8 Africa
## 63 17.8 0.486 10.0 Asia
## 64 3.0 0.000 12.1 Europe
## 65 2.1 0.843 16.1 Europe
## 66 1.7 0.775 14.2 Americas
## 67 1.9 0.628 12.0 Americas
## 68 6.3 0.695 14.3 Africa
## 69 8.1 0.745 13.1 Asia
## 70 1.9 0.850 16.5 Europe
## 71 2.2 0.812 15.9 Europe
## 72 3.3 0.631 12.2 Asia
## 73 7.5 0.636 12.3 Africa
## 74 0.8 0.876 17.1 Europe
## 75 7.1 0.677 12.3 Africa
## 76 4.7 0.843 13.4 Asia
## 77 0.3 0.932 15.6 Europe
## 78 6.3 0.636 11.4 Asia
## 79 13.6 0.465 7.9 Asia
## 80 1.7 0.651 12.9 Americas
## 81 0.5 0.862 16.1 Europe
## 82 3.3 0.795 15.4 Europe
## 83 4.6 0.733 13.2 Asia
## 84 7.8 0.401 9.1 Africa
## 85 7.5 0.399 7.7 Africa
## 86 17.6 0.492 10.1 Asia
## 87 4.0 0.683 13.2 Oceania
## 88 1.7 0.427 9.8 Africa
## 89 5.9 0.810 14.2 Asia
## 90 1.5 0.760 15.3 Americas
## 91 5.4 0.752 15.4 Africa
## 92 1.9 0.778 14.3 Europe
## 93 0.6 0.677 12.3 Americas
## 94 0.8 0.826 15.5 Americas
## 95 9.7 0.631 11.6 Asia
## 96 2.1 0.721 12.3 Asia
## 97 0.9 0.923 18.1 Europe
## 98 1.9 0.720 13.6 Americas
## 99 6.6 0.519 8.0 Africa
## 100 5.5 0.451 5.9 Africa
## 101 0.7 0.936 17.6 Europe
## 102 6.9 0.677 12.3 Africa
## 103 1.7 0.873 16.9 Europe
## 104 2.2 0.639 12.1 Americas
## 105 1.1 0.845 15.2 Asia
## 106 3.4 0.672 11.3 Americas
## 107 4.6 0.827 12.4 Asia
## 108 6.3 0.689 14.2 Africa
## 109 1.1 0.891 15.9 Asia
## 110 0.6 0.677 12.3 Americas
## 111 3.3 0.468 6.8 Africa
## 112 0.6 0.936 20.4 Oceania
## 113 8.3 0.457 8.5 Africa
## 114 2.1 0.623 11.2 Americas
## 115 7.0 0.382 9.8 Africa
## 116 0.5 0.846 15.6 Europe
## 117 5.6 0.523 11.0 Africa
## 118 13.6 0.455 7.8 Asia
## 119 3.6 0.702 13.3 Americas
## 120 1.8 0.284 5.4 Africa
## 121 3.9 0.000 12.7 Americas
## 122 7.7 0.430 8.2 Africa
## 123 2.5 0.763 14.5 Asia
## 124 7.7 0.692 11.4 Asia
## 125 5.7 0.553 10.8 Africa
## 126 0.5 0.833 15.6 Europe
## 127 1.1 0.764 15.0 Americas
## 128 7.7 0.387 10.1 Africa
## 129 0.6 0.677 12.3 Americas
## 130 2.3 0.702 11.6 Americas
## 131 8.9 0.686 12.4 Asia
## 132 0.1 0.718 14.3 Oceania
## 133 6.1 0.575 9.0 Asia
## 134 8.8 0.268 4.5 Africa
## 135 2.5 0.713 14.4 Europe
## 136 3.8 0.785 15.3 Americas
## 137 2.2 0.775 14.6 Europe
## 138 4.6 0.622 10.2 Asia
## 139 3.4 0.662 13.0 Asia
## 140 4.0 0.000 14.9 Americas
## 141 6.1 0.678 12.5 Africa
## 142 1.5 0.670 12.4 Americas
## 143 16.0 0.604 12.5 Asia
## 144 3.7 0.734 15.3 Oceania
## 145 9.4 0.351 5.4 Africa
## 146 7.1 0.461 10.2 Africa
## 147 1.1 0.872 16.3 Europe
## 148 1.7 0.391 5.1 Africa
## 149 1.7 0.738 14.0 Americas
## 150 11.7 0.612 12.9 Africa
## 151 2.1 0.829 16.1 Europe
## 152 9.2 0.437 10.7 Africa
## 153 3.3 0.770 15.3 Europe
## 154 0.2 0.653 12.1 Oceania
## 155 0.2 0.910 18.6 Europe
## 156 0.6 0.925 19.1 Oceania
## 157 2.6 0.730 14.9 Europe
## 158 3.3 0.692 12.5 Americas
## 159 1.1 0.000 3.9 Africa
## 160 16.5 0.545 12.3 Asia
## 161 6.0 0.766 13.2 Africa
## 162 1.5 0.000 10.7 Oceania
## 163 2.0 0.695 12.8 Americas
## 164 2.3 0.721 12.4 Americas
## 165 0.7 0.783 13.7 Europe
## 166 2.8 0.688 13.1 Africa
## 167 0.4 0.898 15.9 Americas
## 168 11.6 0.445 9.6 Africa
## 169 0.9 0.825 17.3 Americas
## 170 1.0 0.826 13.5 Asia
## 171 6.4 0.773 12.5 Americas
## 172 2.2 0.606 11.5 Americas
## 173 3.2 0.780 16.5 Americas
## 174 1.8 0.636 12.4 Americas
## 175 6.8 0.782 12.4 Asia
## 176 6.4 0.660 12.5 Africa
## 177 1.5 0.553 8.8 Americas
## 178 7.0 0.721 11.9 Americas
## 179 6.3 0.575 10.0 Africa
## 180 4.4 0.634 10.6 Asia
## 181 4.9 0.600 9.7 Asia
## 182 6.3 0.701 14.3 Africa
## 183 1.1 0.889 15.9 Asia
## 184 1.1 0.455 7.9 Africa
## 185 0.2 0.902 17.6 Europe
## 186 6.3 0.610 10.6 Asia
## 187 19.7 0.523 8.4 Asia
## 188 2.2 0.658 11.3 Americas
## 189 18.6 0.457 9.2 Asia
## 190 5.8 0.602 10.9 Americas
## 191 1.9 0.773 12.9 Americas
## 192 3.3 0.000 0.0 Africa
## 193 13.7 0.480 8.5 Asia
## 194 8.3 0.769 15.0 Asia
## 195 2.4 0.785 14.0 Europe
## 196 9.3 0.425 9.3 Africa
## 197 6.0 0.687 12.6 Africa
## 198 6.0 0.680 12.0 Africa
## 199 1.1 0.863 15.9 Asia
## 200 1.4 0.863 14.8 Asia
## 201 2.0 0.775 14.2 Europe
## 202 3.6 0.660 12.3 Americas
## 203 13.7 0.488 8.5 Asia
## 204 1.3 0.617 14.4 Americas
## 205 5.2 0.616 9.4 Asia
## 206 9.8 0.509 9.0 Asia
## 207 9.1 0.448 8.4 Africa
## 208 12.2 0.559 11.7 Africa
## 209 2.4 0.748 15.3 Europe
## 210 1.4 0.590 10.8 Oceania
## 211 3.9 0.000 15.3 Americas
## 212 6.7 0.418 11.5 Africa
## 213 3.3 0.699 14.8 Americas
## 214 7.0 0.677 12.3 Africa
## 215 1.2 0.441 8.4 Africa
## 216 4.7 0.750 14.3 Asia
## 217 3.5 0.606 11.0 Africa
## 218 6.9 0.729 12.0 Americas
## 219 3.3 0.419 4.9 Africa
## 220 5.7 0.405 4.3 Africa
## 221 17.5 0.476 10.0 Asia
## 222 0.3 0.891 19.2 Oceania
## 223 3.4 0.000 10.3 Asia
## 224 3.4 0.686 12.3 Americas
## 225 0.7 0.809 14.8 Europe
## 226 0.4 0.891 15.8 Americas
## 227 2.6 0.000 12.0 Americas
## 228 1.0 0.306 7.2 Africa
## 229 8.2 0.517 9.8 Africa
## 230 0.3 0.934 15.8 Europe
## 231 9.7 0.648 11.4 Asia
## 232 7.9 0.510 8.7 Africa
## 233 5.0 0.658 11.5 Asia
## 234 1.4 0.580 11.8 Africa
## 235 0.6 0.677 12.3 Americas
## 236 7.5 0.677 12.3 Africa
## 237 1.3 0.898 15.8 Europe
## 238 1.7 0.636 11.6 Americas
## 239 0.7 0.779 13.8 Europe
## 240 3.4 0.612 11.1 Africa
## 241 1.9 0.677 12.3 Europe
## 242 3.2 0.788 13.6 Asia
## 243 9.7 0.622 11.4 Asia
## 244 9.5 0.587 9.0 Africa
## 245 6.4 0.767 12.4 Americas
## 246 0.1 0.700 12.9 Oceania
## 247 9.1 0.348 8.0 Africa
## 248 8.4 0.582 9.2 Africa
## 249 6.9 0.795 13.7 Asia
## 250 6.3 0.473 9.2 Africa
## 251 1.9 0.677 12.3 Africa
## 252 2.9 0.741 11.7 Asia
## 253 11.1 0.604 10.6 Asia
## 254 7.5 0.841 15.8 Asia
## 255 9.1 0.345 6.4 Africa
## 256 11.4 0.511 10.5 Asia
## 257 2.7 0.000 11.9 Europe
## 258 1.5 0.817 14.9 Europe
## 259 2.1 0.662 10.6 Europe
## 260 4.8 0.854 13.4 Asia
## 261 3.6 0.695 13.3 Americas
## 262 3.3 0.444 6.3 Africa
## 263 1.7 0.758 13.6 Americas
## 264 1.6 0.876 17.0 Europe
## 265 7.4 0.442 10.6 Africa
## 266 2.1 0.887 14.4 Asia
## 267 6.0 0.677 12.3 Asia
## 268 6.4 0.712 12.1 Africa
## 269 0.1 0.703 14.5 Oceania
## 270 0.5 0.854 16.1 Europe
## 271 22.4 0.450 5.4 Asia
## 272 0.9 0.915 19.0 Europe
## 273 2.3 0.642 12.7 Americas
## 274 9.7 0.000 4.7 Africa
## 275 2.1 0.892 15.9 Europe
## 276 6.9 0.476 10.5 Africa
## 277 4.0 0.700 12.6 Asia
## 278 28.1 0.526 9.4 Asia
## 279 1.9 0.598 11.4 Africa
## 280 0.3 0.862 16.5 Europe
## 281 7.3 0.767 12.5 Asia
## 282 3.5 0.000 11.0 Americas
## 283 9.8 0.677 12.3 Africa
## 284 9.0 0.406 9.3 Africa
## 285 3.3 0.778 13.8 Americas
## 286 4.9 0.677 12.3 Asia
## 287 0.2 0.895 18.5 Europe
## 288 7.2 0.450 8.9 Africa
## 289 1.6 0.687 11.6 Americas
## 290 6.3 0.772 12.5 Americas
## 291 6.2 0.653 11.1 Africa
## 292 6.5 0.677 12.3 Africa
## 293 0.2 0.909 18.5 Europe
## 294 1.2 0.303 5.5 Africa
## 295 9.8 0.451 6.7 Africa
## 296 18.6 0.000 9.2 Asia
## 297 2.4 0.714 12.2 Europe
## 298 2.2 0.771 15.4 Europe
## 299 3.8 0.779 15.5 Americas
## 300 2.9 0.752 12.2 Asia
## 301 6.4 0.475 12.0 Africa
## 302 3.2 0.613 11.6 Asia
## 303 0.2 0.629 11.4 Oceania
## 304 1.3 0.838 15.0 Europe
## 305 3.3 0.705 13.2 Americas
## 306 0.5 0.827 16.3 Europe
## 307 5.2 0.603 9.8 Asia
## 308 6.8 0.645 12.4 Africa
## 309 5.8 0.732 14.4 Africa
## 310 1.0 0.677 12.3 Asia
## 311 6.5 0.652 12.8 Africa
## 312 8.3 0.527 11.4 Africa
## 313 5.9 0.677 12.3 Asia
## 314 3.7 0.755 13.7 Europe
## 315 3.8 0.741 15.8 Americas
## 316 3.2 0.620 11.7 Asia
## 317 8.1 0.677 12.3 Africa
## 318 5.7 0.507 10.4 Africa
## 319 9.3 0.491 9.5 Africa
## 320 2.3 0.720 14.7 Asia
## 321 17.5 0.000 10.9 Asia
## 322 0.8 0.873 17.2 Europe
## 323 2.0 0.850 16.6 Europe
## 324 19.2 0.439 8.9 Asia
## 325 4.6 0.000 13.7 Asia
## 326 0.9 0.802 16.8 Americas
## 327 7.1 0.455 8.2 Africa
## 328 0.4 0.920 15.4 Europe
## 329 2.0 0.750 12.8 Americas
## 330 2.4 0.749 13.5 Europe
## 331 4.1 0.659 11.4 Asia
## 332 1.5 0.877 15.0 Asia
## 333 6.0 0.677 12.3 Asia
## 334 5.2 0.677 12.3 Asia
## 335 1.2 0.696 13.2 Americas
## 336 18.4 0.463 9.3 Asia
## 337 2.5 0.793 15.0 Asia
## 338 3.1 0.642 10.4 Asia
## 339 13.7 0.693 12.7 Asia
## 340 13.0 0.552 9.1 Asia
## 341 1.3 0.882 15.9 Europe
## 342 1.9 0.378 7.6 Africa
## 343 4.0 0.553 10.1 Asia
## 344 12.3 0.477 9.1 Africa
## 345 6.2 0.484 12.0 Africa
## 346 4.7 0.837 13.4 Asia
## 347 6.3 0.728 13.1 Africa
## 348 0.5 0.882 17.7 Europe
## 349 7.6 0.406 8.5 Africa
## 350 2.6 0.781 12.1 Americas
## 351 8.3 0.440 10.6 Africa
## 352 7.4 0.638 12.3 Africa
## 353 1.0 0.790 14.6 Americas
## 354 6.0 0.372 3.3 Africa
## 355 15.5 0.641 11.7 Asia
## 356 21.7 0.487 6.1 Asia
## 357 2.5 0.790 12.6 Americas
## 358 1.0 0.862 16.2 Europe
## 359 1.4 0.669 12.6 Asia
## 360 6.1 0.755 13.5 Africa
## 361 5.0 0.832 13.3 Asia
## 362 0.9 0.865 13.6 Europe
## 363 6.5 0.760 12.4 Americas
## 364 9.3 0.723 12.0 Asia
## 365 9.9 0.329 5.5 Africa
## 366 27.5 0.599 11.5 Asia
## 367 11.1 0.000 3.4 Africa
## 368 0.6 0.777 15.5 Europe
## 369 6.8 0.748 11.6 Asia
## 370 0.7 0.939 17.6 Europe
## 371 9.0 0.386 10.5 Africa
## 372 0.6 0.677 12.3 Americas
## 373 0.9 0.816 15.3 Americas
## 374 3.1 0.677 12.3 Europe
## 375 5.0 0.826 13.3 Asia
## 376 3.4 0.700 12.4 Americas
## 377 1.4 0.306 5.6 Africa
## 378 8.5 0.736 12.3 Asia
## 379 2.5 0.784 12.3 Americas
## 380 7.6 0.677 12.3 Africa
## 381 7.3 0.773 12.7 Asia
## 382 0.5 0.677 12.3 Europe
## 383 7.5 0.362 10.3 Africa
## 384 3.4 0.000 0.0 Americas
## 385 13.8 0.000 7.7 Africa
## 386 7.3 0.451 9.9 Africa
## 387 4.7 0.000 15.0 Asia
## 388 0.2 0.682 12.9 Oceania
## 389 9.9 0.315 5.7 Africa
## 390 12.0 0.484 10.2 Asia
## 391 7.6 0.441 10.1 Africa
## 392 1.0 0.677 12.3 Asia
## 393 8.6 0.408 9.5 Africa
## 394 3.2 0.792 13.4 Asia
## 395 2.6 0.730 13.2 Europe
## 396 7.3 0.728 13.6 Africa
## 397 1.1 0.447 6.6 Africa
## 398 6.7 0.677 12.3 Africa
## 399 1.1 0.725 13.4 Americas
## 400 13.2 0.540 9.1 Asia
## 401 8.0 0.523 11.1 Africa
## 402 8.2 0.661 12.2 Africa
## 403 0.1 0.677 0.0 Oceania
## 404 7.4 0.424 9.8 Africa
## 405 0.5 0.836 15.2 Europe
## 406 8.3 0.711 13.1 Asia
## 407 6.6 0.714 12.2 Africa
## 408 1.9 0.864 15.1 Europe
## 409 2.4 0.819 16.3 Europe
## 410 19.4 0.535 8.9 Asia
## 411 2.1 0.834 15.3 Europe
## 412 4.0 0.681 13.1 Oceania
## 413 2.6 0.582 8.9 Asia
## 414 18.8 0.447 8.6 Asia
## 415 8.3 0.416 5.0 Africa
## 416 6.6 0.490 10.9 Africa
## 417 4.9 0.763 13.3 Asia
## 418 1.1 0.873 16.5 Europe
## 419 1.2 0.482 9.0 Oceania
## 420 7.6 0.394 9.8 Africa
## 421 14.0 0.450 8.0 Asia
## 422 0.8 0.853 14.6 Europe
## 423 5.9 0.388 3.7 Africa
## 424 6.1 0.650 11.7 Asia
## 425 1.5 0.312 5.2 Africa
## 426 3.7 0.625 11.3 Asia
## 427 0.6 0.792 15.9 Europe
## 428 3.2 0.706 13.1 Americas
## 429 0.8 0.875 18.8 Europe
## 430 3.4 0.685 14.3 Americas
## 431 2.0 0.691 12.4 Americas
## 432 3.5 0.601 12.1 Asia
## 433 3.3 0.688 10.8 Asia
## 434 0.4 0.872 15.8 Americas
## 435 0.1 0.581 11.9 Oceania
## 436 2.4 0.723 12.9 Europe
## 437 1.3 0.323 4.8 Africa
## 438 3.8 0.682 12.2 Asia
## 439 5.1 0.646 10.4 Asia
## 440 7.2 0.443 10.2 Africa
## 441 3.3 0.394 5.5 Africa
## 442 7.4 0.398 10.5 Africa
## 443 9.3 0.677 12.3 Africa
## 444 2.0 0.677 12.3 Europe
## 445 8.6 0.461 8.9 Africa
## 446 2.2 0.822 16.1 Europe
## 447 2.0 0.796 15.7 Europe
## 448 7.8 0.383 9.9 Africa
## 449 1.4 0.607 13.7 Americas
## 450 2.2 0.751 13.2 Europe
## 451 3.7 0.617 11.2 Asia
## 452 0.5 0.844 15.9 Europe
## 453 1.9 0.712 13.3 Americas
## 454 0.9 0.910 16.9 Europe
## 455 28.5 0.494 8.3 Asia
## 456 3.3 0.463 7.0 Africa
## 457 1.8 0.804 15.1 Europe
## 458 4.9 0.823 12.8 Asia
## 459 0.6 0.887 16.2 Europe
## 460 1.9 0.624 11.0 Asia
## 461 7.7 0.437 7.1 Africa
## 462 0.9 0.919 19.0 Europe
## 463 5.4 0.756 14.0 Africa
## 464 3.9 0.712 13.0 Asia
## 465 3.7 0.651 12.2 Americas
## 466 3.5 0.713 13.3 Americas
## 467 1.4 0.788 15.5 Americas
## 468 3.2 0.780 15.8 Europe
## 469 1.3 0.685 12.8 Americas
## 470 1.0 0.775 16.3 Americas
## 471 8.8 0.580 9.2 Africa
## 472 7.1 0.677 12.3 Africa
## 473 7.2 0.632 13.1 Africa
## 474 1.7 0.800 14.3 Europe
## 475 3.4 0.612 12.4 Asia
## 476 14.5 0.622 12.0 Asia
## 477 1.2 0.609 10.5 Americas
## 478 7.4 0.677 12.3 Africa
## 479 1.2 0.841 15.1 Europe
## 480 2.8 0.715 13.2 Europe
## 481 5.1 0.658 10.1 Asia
## 482 9.3 0.334 4.9 Africa
## 483 9.3 0.592 9.1 Africa
## 484 2.6 0.700 12.7 Asia
## 485 1.2 0.000 6.4 Africa
## 486 1.9 0.870 15.3 Europe
## 487 2.3 0.805 15.7 Europe
## 488 3.0 0.797 15.3 Europe
## 489 9.6 0.000 5.0 Africa
## 490 0.2 0.691 12.9 Oceania
## 491 5.9 0.779 12.7 Americas
## 492 11.5 0.599 12.4 Asia
## 493 6.2 0.640 12.1 Africa
## 494 3.1 0.651 11.8 Asia
## 495 6.1 0.645 12.5 Asia
## 496 6.6 0.651 12.4 Africa
## 497 5.9 0.660 13.0 Africa
## 498 3.9 0.737 13.1 Asia
## 499 6.3 0.554 12.3 Africa
## 500 2.1 0.911 15.2 Asia
## 501 8.3 0.582 9.2 Africa
## 502 3.5 0.000 0.0 Americas
## 503 1.7 0.401 8.1 Africa
## 504 7.1 0.509 10.3 Africa
## 505 1.9 0.382 4.6 Africa
## 506 2.2 0.677 12.3 Europe
## 507 2.2 0.822 15.1 Europe
## 508 2.4 0.792 14.3 Europe
## 509 2.7 0.521 7.5 Asia
## 510 2.9 0.737 11.7 Asia
## 511 1.3 0.888 17.3 Europe
## 512 6.9 0.796 13.7 Asia
## 513 1.1 0.907 16.7 Europe
## 514 3.2 0.713 12.7 Asia
## 515 2.5 0.737 13.9 Asia
## 516 8.2 0.756 12.6 Asia
## 517 2.1 0.740 12.9 Americas
## 518 3.3 0.757 14.7 Europe
## 519 2.9 0.714 13.8 Americas
## 520 1.2 0.302 7.0 Africa
## 521 1.0 0.805 12.5 Asia
## 522 8.0 0.764 12.8 Asia
## 523 9.6 0.323 6.0 Africa
## 524 0.5 0.830 15.6 Europe
## 525 7.4 0.627 12.7 Africa
## 526 0.9 0.878 15.9 Europe
## 527 4.4 0.684 12.4 Americas
## 528 8.1 0.466 8.7 Africa
## 529 2.9 0.825 16.6 Europe
## 530 0.3 0.894 19.5 Oceania
## 531 0.6 0.677 12.3 Americas
## 532 8.3 0.404 7.5 Africa
## 533 2.9 0.722 12.5 Asia
## 534 1.7 0.616 12.9 Africa
## 535 17.8 0.000 10.5 Asia
## 536 6.4 0.543 12.0 Africa
## 537 5.4 0.618 10.7 Americas
## 538 0.5 0.869 16.4 Europe
## 539 3.8 0.739 13.6 Asia
## 540 3.9 0.487 9.1 Americas
## 541 21.1 0.476 7.7 Asia
## 542 1.0 0.854 14.3 Asia
## 543 9.6 0.395 7.3 Africa
## 544 7.0 0.756 14.3 Africa
## 545 4.6 0.447 8.1 Americas
## 546 7.1 0.748 14.1 Africa
## 547 8.0 0.309 7.2 Africa
## 548 1.7 0.768 13.9 Americas
## 549 4.6 0.539 11.4 Africa
## 550 7.4 0.576 11.1 Africa
## 551 11.1 0.443 10.3 Africa
## 552 0.7 0.853 15.9 Europe
## 553 0.2 0.638 11.7 Oceania
## 554 1.4 0.596 10.8 Oceania
## 555 7.7 0.546 11.1 Africa
## 556 1.9 0.694 11.4 Americas
## 557 7.5 0.393 10.3 Africa
## 558 0.1 0.677 0.0 Oceania
## 559 2.8 0.759 13.5 Asia
## 560 1.3 0.696 12.9 Americas
## 561 8.4 0.279 5.2 Africa
## 562 6.2 0.669 12.5 Africa
## 563 1.2 0.710 13.2 Americas
## 564 6.7 0.424 10.1 Africa
## 565 3.8 0.736 13.6 Asia
## 566 6.3 0.644 10.9 Africa
## 567 2.0 0.677 12.3 Europe
## 568 3.3 0.000 0.0 Africa
## 569 13.5 0.498 9.0 Asia
## 570 21.8 0.474 5.6 Asia
## 571 2.6 0.779 12.1 Americas
## 572 6.8 0.479 10.6 Africa
## 573 0.2 0.633 11.5 Oceania
## 574 0.8 0.874 15.8 Europe
## 575 1.7 0.725 12.8 Americas
## 576 1.3 0.693 12.8 Americas
## 577 0.5 0.677 12.3 Europe
## 578 4.7 0.740 13.1 Asia
## 579 2.1 0.733 12.8 Americas
## 580 2.3 0.818 14.6 Europe
## 581 18.3 0.575 10.2 Asia
## 582 8.2 0.380 8.3 Africa
## 583 0.2 0.920 18.6 Europe
## 584 4.5 0.830 13.7 Asia
## 585 3.8 0.603 11.1 Asia
## 586 2.9 0.727 12.8 Europe
## 587 14.2 0.651 11.8 Asia
## 588 1.5 0.428 6.9 Oceania
## GDP Life_Expectancy Hepatitis.B.y Population.y linfant.deaths
## 1 48123 74.800 97.0 32858823.0 1.0986123
## 2 3433 65.900 94.0 3508818.5 0.0000000
## 3 12920 53.200 81.0 2329864.0 4.2766661
## 4 257 68.200 52.5 96311.0 0.0000000
## 5 1341888 66.000 93.0 1129968.0 7.1701195
## 6 12046 75.400 86.0 1112868.5 0.0000000
## 7 2398 62.000 82.0 1225258.0 2.1972246
## 8 140187 73.338 98.0 1192770.5 0.0000000
## 9 343584 81.000 93.0 1317997.0 0.0000000
## 10 4674 74.200 93.0 1189903.0 0.0000000
## 11 195661 68.588 95.0 2175859.0 5.1761497
## 12 8769 59.000 71.0 1823369.0 3.2188758
## 13 135684 75.500 96.0 8365556.0 0.0000000
## 14 3601 43.800 86.0 1243229.0 3.7841896
## 15 1168023 79.800 83.0 485412.0 0.6931472
## 16 1355580 82.400 95.5 444809.5 0.0000000
## 17 13761 67.100 71.5 2568878.0 3.4011974
## 18 309979 81.000 95.0 2238799.0 0.0000000
## 19 800 73.100 95.0 1312212.5 0.0000000
## 20 8355 68.000 85.0 564347.0 2.3978953
## 21 36592 74.400 92.0 832325.0 2.0794415
## 22 6013 57.500 86.0 1243229.0 3.2958369
## 23 12043 66.100 84.5 1772723.0 1.0986123
## 24 31184 74.000 96.0 3186341.0 1.0986123
## 25 362075 85.000 64.0 1622532.0 0.0000000
## 26 56214 86.000 88.0 1895586.0 0.0000000
## 27 11579 64.300 84.0 1638139.0 3.4011974
## 28 20982 53.100 84.0 1638139.0 3.9318256
## 29 2626 69.300 92.5 600844.5 0.0000000
## 30 301355 75.000 89.0 5243669.0 1.3862944
## 31 3469 39.613 81.5 1384969.0 1.0986123
## 32 3394 52.100 71.0 1823369.0 4.0253517
## 33 3219 73.000 90.5 2183163.5 0.6931472
## 34 12855 67.500 93.0 1129968.0 3.2188758
## 35 20143 74.193 91.0 1512165.0 0.0000000
## 36 50812 74.500 96.0 8333803.5 0.0000000
## 37 13868 62.200 91.0 1310044.5 3.7376696
## 38 1525 67.200 76.0 4411785.0 1.3862944
## 39 42644 77.200 93.0 1455849.0 0.0000000
## 40 3177 61.100 84.5 1772723.0 2.1972246
## 41 2988 67.300 98.0 9937565.5 0.0000000
## 42 3064708 81.000 93.0 2932367.0 1.0986123
## 43 28037 63.000 84.5 1772723.0 3.3672958
## 44 20911 53.300 81.0 1965662.0 4.0604430
## 45 49987 67.000 86.0 1875713.0 4.4543473
## 46 301458 79.300 83.0 7389625.0 0.0000000
## 47 397558 74.300 88.0 5986514.0 2.1972246
## 48 134301 68.564 95.0 2175859.0 2.7725887
## 49 55779 78.900 96.0 1177841.0 0.0000000
## 50 1468 69.000 93.0 1455849.0 0.0000000
## 51 131614 69.300 92.0 1277310.0 3.4657359
## 52 1793327 81.500 49.0 3434278.0 0.6931472
## 53 323276 74.600 87.0 5399162.0 1.0986123
## 54 1148890 81.900 50.5 2286937.5 0.0000000
## 55 4088 75.600 97.0 419455.0 0.0000000
## 56 13228 77.500 95.0 427364.0 0.0000000
## 57 29401 56.900 80.0 1381599.0 4.5108595
## 58 12830 67.000 88.0 5183688.0 2.5649494
## 59 12435 64.700 83.5 1746795.0 1.9459101
## 60 392218 85.000 95.0 2238799.0 0.0000000
## 61 32272 74.200 96.5 3911914.0 1.0986123
## 62 6690 46.000 86.0 1243229.0 3.1780538
## 63 10326 63.785 95.0 21273910.5 3.3672958
## 64 8499 75.200 93.0 748591.0 0.0000000
## 65 29635 76.500 93.0 748591.0 0.0000000
## 66 56442 79.600 93.0 2734076.0 0.0000000
## 67 13244 69.900 86.0 1112868.5 1.0986123
## 68 38915 73.923 96.5 6097177.0 1.0986123
## 69 626133 74.700 95.0 15152873.0 3.0910425
## 70 23019 76.300 93.0 2987773.0 0.0000000
## 71 14107 72.800 95.0 2238799.0 0.0000000
## 72 4794 68.800 96.0 524893.5 1.3862944
## 73 5335 56.761 76.0 1396861.0 0.6931472
## 74 285716 79.600 94.0 4489544.0 0.0000000
## 75 32013 57.500 83.0 876693.0 4.4886364
## 76 198728 77.900 97.0 2012321.0 0.0000000
## 77 715888 82.600 88.5 7912398.0 0.0000000
## 78 153800 73.700 92.0 1689234.5 2.0794415
## 79 11987 63.900 94.0 6542547.0 4.1588831
## 80 16000 75.000 92.5 600844.5 1.0986123
## 81 2213102 80.546 96.0 615875.0 0.6931472
## 82 174102 73.100 98.0 3091325.0 0.6931472
## 83 22023 74.100 92.0 1689234.5 0.0000000
## 84 3789 49.700 84.0 1638139.0 3.2188758
## 85 11832 59.900 83.5 1746795.0 3.6375862
## 86 12545 67.000 96.0 8807622.5 3.2958369
## 87 1652 67.800 75.5 619035.5 0.0000000
## 88 6777 45.300 86.0 1933596.0 3.2188758
## 89 18505 75.500 92.0 1689234.5 0.0000000
## 90 23798 76.384 93.0 1189903.0 0.0000000
## 91 60094 72.200 96.5 3869346.0 0.6931472
## 92 54288 73.900 97.0 2427763.0 0.0000000
## 93 17550680 79.100 73.5 35544564.0 3.1354942
## 94 267025 79.900 95.0 1312212.5 0.6931472
## 95 87039 67.200 78.0 8331954.0 4.2046926
## 96 11662 73.200 92.0 1277310.0 0.0000000
## 97 765573 81.900 93.5 8633169.0 0.0000000
## 98 381241 74.600 94.0 1463479.5 2.3978953
## 99 43017 68.600 93.0 5154790.0 3.2958369
## 100 1239 61.800 82.0 1225258.0 0.0000000
## 101 464918 86.000 94.0 4489544.0 0.0000000
## 102 34657 58.300 82.0 1225258.0 4.4773368
## 103 50568 79.100 95.0 618294.0 0.0000000
## 104 9624 71.900 92.0 832325.0 1.0986123
## 105 136036 78.900 89.0 1292567.0 0.0000000
## 106 1793 68.900 93.0 1455849.0 0.0000000
## 107 167775 77.500 95.0 3009703.0 0.0000000
## 108 34377 74.400 96.5 3869346.0 1.0986123
## 109 297733 82.100 97.0 2012321.0 0.0000000
## 110 15048964 78.700 74.0 345274.0 3.2188758
## 111 63196 63.200 96.0 5869870.0 4.1108739
## 112 1468598 82.700 92.0 3431597.0 0.0000000
## 113 6372 59.900 71.0 1823369.0 3.6888795
## 114 20980 74.600 93.0 2734076.0 1.0986123
## 115 6193 46.600 86.0 1243229.0 4.7535902
## 116 1806543 89.000 93.0 1483861.0 0.6931472
## 117 4439 53.600 83.0 876693.0 0.6931472
## 118 10567 63.500 94.0 1363377.0 4.1896547
## 119 714 71.900 93.0 1189903.0 0.0000000
## 120 2743 48.400 71.0 1823369.0 3.7841896
## 121 428 79.000 86.0 1962424.0 0.0000000
## 122 14365 57.800 86.0 1875713.0 3.9512437
## 123 148047 67.800 96.0 524893.5 1.9459101
## 124 266299 72.200 86.0 2021514.5 3.2580965
## 125 229 66.900 84.0 1638139.0 0.0000000
## 126 1069056 81.000 93.0 1483861.0 0.6931472
## 127 284204 74.100 86.0 1962424.0 2.4849066
## 128 2498 43.500 86.0 1933596.0 3.8712010
## 129 16843191 78.900 73.0 35155451.0 3.1354942
## 130 15014 77.600 86.0 1962424.0 0.0000000
## 131 221758 73.000 85.0 13474489.0 2.5649494
## 132 451 73.200 82.0 15328.0 0.0000000
## 133 21502 64.400 96.0 668453.5 1.9459101
## 134 877 51.300 86.0 1933596.0 3.2188758
## 135 30210 68.100 98.0 9937565.5 0.0000000
## 136 4614 75.100 95.0 1312212.5 0.0000000
## 137 67609 72.590 98.0 2998430.0 0.0000000
## 138 1955347 73.500 95.0 129675.0 5.8861040
## 139 6678 71.100 98.0 7056967.5 1.0986123
## 140 696 71.500 93.0 1455849.0 0.0000000
## 141 17596 64.600 84.5 1772723.0 0.6931472
## 142 24468 73.400 86.0 571293.0 2.1972246
## 143 2004 69.800 97.0 1504142.0 0.0000000
## 144 4682 69.900 82.5 739815.5 0.0000000
## 145 9684 61.800 83.5 1746795.0 3.8918203
## 146 916 61.000 81.0 2329864.0 0.6931472
## 147 2501640 78.500 64.0 1622532.0 1.0986123
## 148 8936 45.700 86.0 1933596.0 4.5747110
## 149 22823 75.100 86.0 1962424.0 0.0000000
## 150 333077 49.339 81.5 1384969.0 3.9318256
## 151 22449 73.000 95.0 528872.0 0.0000000
## 152 1682 44.500 82.5 1252156.0 1.6094379
## 153 14260 71.400 96.0 344367.0 0.0000000
## 154 282 76.000 87.0 137883.0 0.0000000
## 155 259682 81.200 93.0 2932367.0 0.0000000
## 156 928762 81.700 93.5 2259758.5 0.0000000
## 157 188110 67.700 98.0 8510273.0 1.6094379
## 158 33591 77.158 89.0 1625344.5 0.0000000
## 159 5452 52.400 76.0 1267638.0 3.8918203
## 160 22162 69.300 96.0 17265109.5 2.9444390
## 161 1388 73.000 86.0 1875713.0 0.0000000
## 162 365 69.600 72.0 638339.0 0.0000000
## 163 286499 73.600 94.0 3508818.5 2.4849066
## 164 12502 75.500 86.0 571293.0 0.6931472
## 165 4088 77.800 83.0 485412.0 0.0000000
## 166 329367 79.000 96.0 6192235.0 3.9318256
## 167 1374625 81.000 67.0 33628571.0 0.6931472
## 168 887 49.300 86.0 1243229.0 1.6094379
## 169 526320 76.200 94.0 1463479.5 2.0794415
## 170 18433 78.700 91.0 1568662.0 0.0000000
## 171 19172 71.000 93.5 2397191.5 0.0000000
## 172 15839 73.600 94.0 3508818.5 1.3862944
## 173 68990 78.800 92.5 575422.5 0.0000000
## 174 13725 70.000 92.0 832325.0 1.0986123
## 175 48388 75.400 94.0 2856738.5 0.0000000
## 176 14373 62.300 83.0 876693.0 0.6931472
## 177 20444 68.978 89.0 1625344.5 2.7725887
## 178 9008 68.976 89.0 1625344.5 0.0000000
## 179 75884 71.000 96.5 3869346.0 3.0910425
## 180 2285961 73.900 95.0 127773.0 5.8051350
## 181 1470558 72.028 92.0 127445.0 6.0450053
## 182 44859 74.700 97.0 6228370.0 1.0986123
## 183 262282 81.800 96.0 3138292.5 0.0000000
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## 185 270079 78.885 95.0 528872.0 0.0000000
## 186 112863 73.200 91.0 1310044.5 2.1972246
## 187 102478 69.500 93.0 1129968.0 4.9052748
## 188 117092 72.800 92.0 832325.0 2.7725887
## 189 6330 64.300 64.0 1050387.5 3.6375862
## 190 713 65.400 86.0 1962424.0 0.0000000
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## 192 14586 53.600 81.0 2329864.0 3.2958369
## 193 26911 63.800 92.0 1277310.0 3.6109179
## 194 492776 75.300 96.0 17265109.5 2.9957323
## 195 2045923 69.400 97.0 8410750.0 2.6390573
## 196 1492 54.600 86.0 1243229.0 2.6390573
## 197 18204 65.500 86.0 1875713.0 0.6931472
## 198 103198 72.900 96.5 3911914.0 2.9444390
## 199 139973 81.000 91.0 1310044.5 0.0000000
## 200 4519562 81.900 83.0 127718.0 1.0986123
## 201 57737 73.700 97.0 8410750.0 0.0000000
## 202 27137 70.847 89.0 1625344.5 1.9459101
## 203 30907 64.400 96.0 1916169.0 3.5553481
## 204 8082 64.500 86.0 1112868.5 2.5649494
## 205 21922 66.500 92.0 885909.5 3.4011974
## 206 4223 62.100 86.0 13676693.0 2.3978953
## 207 12705 51.900 86.0 1243229.0 4.3438054
## 208 5788 47.800 86.0 1243229.0 0.6931472
## 209 91031 71.300 96.0 8333803.5 1.3862944
## 210 671 71.000 59.0 161145.0 0.0000000
## 211 759 71.900 93.0 1189903.0 0.0000000
## 212 6607 51.000 71.0 1823369.0 4.6913479
## 213 558234 71.800 86.0 1112868.5 4.4773368
## 214 20982 51.900 81.0 2329864.0 3.9512437
## 215 64589 64.800 83.5 1746795.0 4.9126549
## 216 880556 74.800 96.0 3138292.5 2.9444390
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## 218 11305 69.300 86.0 1112868.5 0.0000000
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## 220 769 59.100 81.0 1965662.0 0.6931472
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## 222 137189 80.204 91.0 2126038.0 0.0000000
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## 224 31682 76.700 86.0 571293.0 0.0000000
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## 227 8076 72.600 86.0 1962424.0 0.0000000
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## 230 706235 83.000 94.0 1286889.0 0.0000000
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## 232 20885 59.400 81.0 1965662.0 3.7135721
## 233 240249 70.845 91.0 1512165.0 3.6375862
## 234 8957 48.100 76.0 1267638.0 0.6931472
## 235 11456442 77.200 53.0 31676.0 3.3322045
## 236 18620 53.100 81.0 1965662.0 4.5643482
## 237 436537 81.400 95.0 3162916.0 0.0000000
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## 239 4070 77.500 89.0 376676.0 0.0000000
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## 241 209359 78.600 96.0 9670489.5 0.0000000
## 242 105969 73.900 94.0 2856738.5 0.0000000
## 243 78921 66.800 95.0 2369897.0 4.2195077
## 244 13072 51.579 81.5 1384969.0 1.0986123
## 245 27872 69.900 93.0 696715.5 0.0000000
## 246 798 73.600 82.0 15328.0 0.0000000
## 247 1862 44.300 81.0 1965662.0 3.4011974
## 248 21765 57.900 86.0 1875713.0 1.0986123
## 249 78711 76.600 97.0 4050259.5 0.0000000
## 250 27933 54.800 80.0 1381599.0 3.9889840
## 251 16737 55.700 81.5 1384969.0 5.4638318
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## 473 2047 72.600 82.0 1225258.0 0.0000000
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## 484 24637 64.700 95.0 4487436.5 2.0794415
## 485 371 52.100 86.0 1243229.0 1.6094379
## 486 401759 82.000 88.0 1653388.0 0.0000000
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## 489 1109 59.100 76.0 1267638.0 1.9459101
## 490 628 76.000 64.0 93095.0 0.0000000
## 491 27026 71.200 93.0 2734076.0 0.0000000
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## 493 119131 74.100 94.5 6097764.0 2.8903718
## 494 33689 68.000 97.0 223472.5 3.0445224
## 495 43190 62.800 96.0 3138292.5 1.9459101
## 496 15571 61.600 81.0 2329864.0 0.6931472
## 497 381199 62.000 86.0 1875713.0 3.7376696
## 498 34454 73.900 97.0 2012321.0 1.3862944
## 499 25503 59.200 84.0 1638139.0 3.3672958
## 500 279356 82.200 88.0 5183688.0 0.0000000
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## 502 814 74.000 89.0 1625344.5 0.0000000
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## 504 12523 65.100 86.0 1875713.0 3.3672958
## 505 9130 45.300 86.0 1243229.0 4.5747110
## 506 119814 75.800 98.0 1209950.0 0.0000000
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## 508 2208294 69.600 97.0 2427763.0 2.6390573
## 509 196710 65.100 91.0 2239659.5 5.9188939
## 510 52909 71.100 96.0 1916169.0 1.6094379
## 511 43108 88.000 94.0 431874.0 0.0000000
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## 514 9570471 75.600 98.5 135738.0 5.2203558
## 515 57124 64.600 97.0 3134685.0 2.0794415
## 516 202257 74.000 92.0 2765383.0 1.0986123
## 517 16374 75.800 93.0 1455849.0 0.0000000
## 518 12237 71.200 95.5 889596.0 0.0000000
## 519 1666996 73.600 93.5 2397191.5 4.0430513
## 520 1075 41.000 86.0 1933596.0 3.4011974
## 521 11420 78.400 91.0 1512165.0 0.0000000
## 522 255018 74.100 89.0 5076732.0 1.0986123
## 523 1462 46.300 81.0 1965662.0 2.8332133
## 524 907492 79.400 93.0 748591.0 0.6931472
## 525 1825 72.500 83.0 876693.0 0.0000000
## 526 481421 80.000 88.0 1895586.0 0.0000000
## 527 987 72.200 86.0 1112868.5 0.0000000
## 528 5065 64.000 76.0 1267638.0 3.6375862
## 529 37388 72.200 95.0 3162916.0 0.0000000
## 530 133131 81.000 51.5 2236146.0 0.0000000
## 531 13039199 77.500 53.5 32312.0 3.3322045
## 532 12995 56.800 82.0 1225258.0 3.9889840
## 533 10173 74.400 94.0 1597589.5 0.0000000
## 534 316131 55.300 81.0 2329864.0 3.9120230
## 535 1228 67.000 96.0 8807622.5 0.0000000
## 536 23460 58.200 82.0 1225258.0 3.3672958
## 537 3025 66.300 93.0 696715.5 0.0000000
## 538 2136100 81.800 95.0 619428.0 0.6931472
## 539 22659 73.100 92.0 1277310.0 1.3862944
## 540 15147 63.100 94.0 1463479.5 2.6390573
## 541 54724 62.013 90.5 10176889.5 5.3327188
## 542 19842 85.000 97.0 4050259.5 0.0000000
## 543 487 57.000 71.0 1823369.0 1.0986123
## 544 11669 73.900 84.0 1638139.0 0.0000000
## 545 5072 59.700 86.0 1112868.5 2.8903718
## 546 11518 73.600 82.0 1225258.0 0.0000000
## 547 1356 49.580 81.5 1384969.0 3.1780538
## 548 52016 79.500 94.0 1463479.5 0.0000000
## 549 4598 57.600 84.5 1772723.0 0.6931472
## 550 17959 63.900 84.5 1772723.0 1.9459101
## 551 826 47.800 86.0 1933596.0 1.6094379
## 552 355909 79.900 96.0 1177841.0 0.0000000
## 553 311 68.900 89.0 14656.0 0.0000000
## 554 772 71.700 77.5 73070.0 0.0000000
## 555 68286 62.900 86.0 1875713.0 4.0253517
## 556 742061 74.800 86.0 1962424.0 4.0073332
## 557 2333 58.000 84.0 1638139.0 3.0910425
## 558 39 72.000 82.0 15328.0 0.0000000
## 559 17627 74.500 96.0 668453.5 0.0000000
## 560 51008 74.994 93.0 1189903.0 1.9459101
## 561 915 52.600 76.0 1267638.0 3.1780538
## 562 17170 63.500 84.0 1638139.0 0.6931472
## 563 79277 75.300 92.5 575422.5 1.9459101
## 564 4071 46.242 81.5 1384969.0 2.9957323
## 565 17110 72.535 94.0 1597589.5 1.3862944
## 566 54745 71.400 93.5 5275916.0 2.9957323
## 567 236816 77.000 98.0 8510273.0 0.0000000
## 568 14602 55.000 83.0 876693.0 3.2958369
## 569 40415 65.400 97.0 2012321.0 3.5835189
## 570 132216 63.700 65.0 1301865.5 5.8971539
## 571 8318 72.900 86.0 571293.0 0.0000000
## 572 1023 62.200 82.0 1225258.0 0.6931472
## 573 297 68.700 89.5 12652.0 0.0000000
## 574 517328 79.500 87.0 6437499.0 0.0000000
## 575 14807 75.300 95.0 1312212.5 0.0000000
## 576 46802 74.400 92.5 600844.5 2.0794415
## 577 2421525 78.800 94.0 459191.0 1.3862944
## 578 29119 74.500 92.0 1277310.0 0.0000000
## 579 15013 75.800 92.0 832325.0 0.0000000
## 580 20290 76.000 89.0 376676.0 0.0000000
## 581 195079 71.800 97.0 1504142.0 4.5217886
## 582 6853 57.800 83.0 876693.0 3.3672958
## 583 292364 81.400 94.0 1977527.0 0.0000000
## 584 44530 76.600 91.0 1568662.0 0.0000000
## 585 5642 67.300 96.0 524893.5 2.3025851
## 586 345470 64.800 98.0 2998430.0 2.9957323
## 587 2345 76.300 93.0 1129968.0 0.0000000
## 588 3000 59.300 70.5 625476.5 2.3978953
## lAlcohol lpercentage.expenditure lMeasles lTotal.expenditure
## 1 0.25464222 6.43488680 2.3978953 1.96711236
## 2 2.01756614 3.87179655 0.0000000 1.88706965
## 3 0.39204209 -0.22700627 1.3862944 1.59127394
## 4 0.49469624 0.00000000 0.0000000 2.48407297
## 5 0.91629073 -0.16938204 10.9364585 1.47704872
## 6 1.63119940 5.08041017 0.0000000 1.87487438
## 7 1.31372367 4.10176003 5.6312118 2.41858877
## 8 2.52972067 5.09585429 0.0000000 2.01623547
## 9 2.25129180 9.23617994 2.8332133 2.42036813
## 10 2.13653051 7.40324987 0.0000000 1.72988407
## 11 -2.99573227 3.76534669 9.5813521 0.81977983
## 12 -1.10866262 4.13067294 7.3258075 1.68639895
## 13 2.38692624 5.04468373 0.0000000 2.01889504
## 14 0.96317432 3.82027783 10.3394819 1.96850998
## 15 2.27109443 1.13854755 0.0000000 2.09309787
## 16 2.22462355 6.04897954 4.8751973 2.20827441
## 17 0.47000363 3.88175795 4.3820266 1.66581825
## 18 1.85159947 9.37522195 0.0000000 2.18492705
## 19 2.08815348 6.76388488 0.0000000 1.85002838
## 20 -0.44628710 4.84114478 0.0000000 1.77833645
## 21 1.29472717 2.79601248 0.0000000 1.82776991
## 22 -1.23787436 1.68591153 8.6723148 1.53255687
## 23 -4.60517019 6.63417998 6.9353704 2.14358936
## 24 0.30748470 5.93955502 0.0000000 1.72810944
## 25 2.38139627 6.73610871 6.3526294 0.65752000
## 26 2.43009841 7.72632389 0.0000000 2.03861955
## 27 -0.13926207 4.09399691 0.6931472 1.24126859
## 28 -4.60517019 0.00000000 9.2086389 1.75006904
## 29 1.50851199 4.28771826 0.0000000 1.82776991
## 30 1.32308829 0.00000000 7.1838707 1.75006904
## 31 1.71379793 3.76968725 0.0000000 2.01490302
## 32 -2.30258509 3.00908107 10.9002517 1.82937633
## 33 1.01523068 4.04485995 3.5553481 2.05668455
## 34 -1.51412773 1.82351170 5.2417470 1.85785927
## 35 -0.61618614 6.37317830 1.6094379 1.15688120
## 36 1.32308829 0.00000000 0.0000000 1.75006904
## 37 -2.81341072 0.00000000 9.4499870 1.58923521
## 38 0.96317432 0.00000000 2.8332133 1.56653041
## 39 1.49962305 6.25178041 0.0000000 2.23964529
## 40 -4.60517019 3.80774911 0.0000000 2.22462355
## 41 2.37769257 0.00000000 1.7917595 2.21375388
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## 373 2.03731662 5.20139847 0.0000000 2.00012773
## 374 2.20497226 0.00000000 0.0000000 2.43449016
## 375 0.55961579 8.20624645 4.8828019 1.23837423
## 376 1.89311196 6.40626707 0.0000000 1.72455072
## 377 -0.86750057 2.19009529 0.6931472 1.36353737
## 378 -0.84397007 6.01611143 5.9763509 1.28370777
## 379 2.31253542 0.00000000 0.0000000 1.82454929
## 380 1.37118072 0.00000000 3.1354942 1.53901545
## 381 -2.30258509 7.17617045 8.4441923 1.24990174
## 382 2.43711599 0.00000000 5.7493930 2.02419307
## 383 0.07696104 1.47597877 5.1179938 1.84845481
## 384 2.09801793 7.28317909 0.0000000 1.48387469
## 385 2.26280422 2.84128387 10.6455916 0.88789126
## 386 -1.38629436 4.34417413 4.4426513 1.51951320
## 387 0.78390154 6.23559339 2.0794415 0.64185389
## 388 1.34807315 3.86569383 0.0000000 1.65822808
## 389 0.40546511 3.72572035 7.1172055 1.41098697
## 390 -0.96758403 2.13010958 3.7135721 0.27002714
## 391 0.28517894 4.23929948 5.2311086 1.74571553
## 392 2.26799365 0.00000000 3.4965076 1.59533899
## 393 1.51951320 3.53404179 5.3565863 1.63315444
## 394 -3.91202301 7.93203824 3.4657359 0.96317432
## 395 2.26176310 6.22081200 0.6931472 2.16332303
## 396 0.91228271 1.89446384 2.4849066 1.52605630
## 397 -4.60517019 3.38958721 8.1917400 1.51072194
## 398 -4.60517019 0.00000000 9.7583462 1.75006904
## 399 1.63705308 6.78670094 0.0000000 1.64480506
## 400 -0.35667494 3.64643987 6.9177056 0.77010822
## 401 0.54812141 4.03582950 4.5538769 1.37876609
## 402 1.61143592 6.05628170 5.2149358 1.85473427
## 403 -4.60517019 6.77064987 0.0000000 2.84723227
## 404 0.95935022 3.84652989 9.7407921 1.88099060
## 405 2.22462355 7.96670286 9.1468679 2.10778601
## 406 1.78339122 4.27228279 7.8567068 1.33762919
## 407 1.90508815 6.46723833 0.0000000 1.49290410
## 408 2.48490665 9.02758652 6.1047932 0.47000363
## 409 2.47148363 5.53497808 1.0986123 1.89160480
## 410 -4.60517019 4.13771458 6.6694981 1.28093385
## 411 2.38047163 5.43825363 4.2626799 1.89009537
## 412 0.71783979 3.44228642 0.0000000 1.35325451
## 413 1.02604160 4.03302551 6.8297937 1.59330853
## 414 -1.66073121 3.14346005 8.8171496 1.72276660
## 415 -4.60517019 0.00000000 4.8441871 1.20597081
## 416 -4.60517019 4.12024678 0.0000000 1.87333946
## 417 1.32308829 0.00000000 3.6635616 1.75006904
## 418 2.30856716 7.98774189 6.9265770 2.00417906
## 419 -0.16251893 3.36388839 0.0000000 1.85941812
## 420 1.35583515 3.68971512 0.0000000 2.47063868
## 421 -2.65926004 0.00000000 6.7912215 1.43983513
## 422 1.32308829 0.00000000 0.6931472 1.75006904
## 423 0.16551444 4.66377362 4.2626799 1.91102289
## 424 -0.24846136 0.00000000 3.2580965 1.18784342
## 425 0.41210965 3.42698944 8.0730912 1.44456327
## 426 1.32308829 0.00000000 1.0986123 1.75006904
## 427 2.59897911 5.62076305 1.6094379 2.28645571
## 428 1.78002421 6.75359042 0.0000000 1.44926916
## 429 2.42391738 5.76931352 0.0000000 2.13534917
## 430 1.96431123 5.00716400 0.0000000 1.97269117
## 431 1.46787435 6.84762984 0.0000000 1.96009478
## 432 1.19694819 0.00000000 0.6931472 1.69193913
## 433 1.32308829 0.00000000 0.0000000 1.75006904
## 434 2.04122033 8.26766878 1.7917595 2.23751310
## 435 -4.60517019 4.99352288 0.0000000 0.31481074
## 436 2.32238772 3.50458940 0.0000000 2.00283044
## 437 -1.89711998 3.47274051 6.6476884 1.89611948
## 438 1.58514522 3.91767678 10.8678253 1.75785792
## 439 -1.66073121 3.08294269 6.1984787 1.34025042
## 440 0.84586827 4.18646746 6.7810576 2.10169215
## 441 0.56531381 3.42946117 7.9638080 1.17248214
## 442 -4.60517019 3.69265443 0.0000000 2.11625551
## 443 1.32308829 0.00000000 8.5211852 1.75006904
## 444 2.54081428 0.00000000 0.0000000 2.00552586
## 445 0.35767444 3.59175582 2.9957323 1.45628673
## 446 2.80819715 5.49860604 3.2958369 1.62924054
## 447 2.63476241 7.04500224 4.1588831 1.73871025
## 448 1.39376638 1.30478580 0.0000000 0.21511138
## 449 0.78845736 0.00000000 0.0000000 1.84213568
## 450 1.68268837 6.38978871 0.0000000 2.09186406
## 451 -4.60517019 0.04106171 0.0000000 1.90954250
## 452 2.47317139 8.40299149 5.8916442 2.10778601
## 453 1.48387469 2.71882889 0.0000000 1.92278773
## 454 2.34851402 9.23514115 4.4308168 0.62593843
## 455 0.00000000 2.94461823 10.8547593 1.50407740
## 456 0.75141609 5.28162490 8.6333749 2.11625551
## 457 1.32308829 0.00000000 0.0000000 1.75006904
## 458 0.55388511 8.22949555 0.0000000 0.84586827
## 459 2.40694511 8.80191397 5.6058021 2.44755086
## 460 -2.81341072 4.01387668 10.2809303 0.86288996
## 461 1.48839958 3.73137107 10.0830553 1.54756251
## 462 1.32308829 0.00000000 0.0000000 1.75006904
## 463 -4.60517019 3.58672694 0.0000000 1.56234630
## 464 -0.61618614 5.55743497 2.9444390 2.27006190
## 465 1.88403475 3.80204023 5.5333895 1.77495235
## 466 1.93585981 0.00000000 0.0000000 2.13771045
## 467 1.76130026 6.17961066 0.0000000 2.16102153
## 468 2.42391738 4.39441336 0.0000000 1.86562932
## 469 1.45161383 5.87756596 0.0000000 1.51732262
## 470 2.03208785 6.57837080 0.0000000 1.92278773
## 471 2.39698577 7.30857714 0.0000000 1.19088756
## 472 -4.60517019 0.00000000 7.0466473 1.75006904
## 473 1.62334082 1.48368271 0.0000000 1.52605630
## 474 2.48989419 7.79375334 3.9318256 2.04122033
## 475 1.03318448 0.00000000 3.9702919 1.76130026
## 476 0.48242615 6.49201240 3.8501476 1.99741771
## 477 0.77010822 6.12637689 0.0000000 1.83736998
## 478 -4.60517019 0.00000000 9.3933284 1.75006904
## 479 2.36085400 0.00000000 0.0000000 2.14006616
## 480 1.93874166 5.67885515 4.1431347 2.18605128
## 481 -4.60517019 3.77331435 7.1831117 1.71199450
## 482 1.52169900 4.30308226 2.4849066 1.89160480
## 483 2.12106322 7.44171833 6.0776422 0.83724752
## 484 1.79009141 4.97743869 2.8903718 1.28370777
## 485 1.04380405 1.90202077 0.0000000 1.59736533
## 486 2.42480273 8.99386922 3.8918203 2.41502052
## 487 2.71270601 4.61630908 0.0000000 1.63510566
## 488 2.25967759 6.98319489 8.9159693 1.70110510
## 489 -0.44628710 2.32834771 3.1780538 1.14422280
## 490 1.05779029 3.74061014 0.0000000 1.68639895
## 491 1.32308829 0.00000000 0.0000000 1.75006904
## 492 -2.30258509 3.65283163 3.9120230 -0.08338161
## 493 -0.84397007 5.29196901 2.3025851 1.77664583
## 494 0.94000726 4.53060608 0.0000000 1.84213568
## 495 -4.60517019 0.00000000 2.5649494 1.17865500
## 496 2.16905370 2.40281268 1.0986123 0.93216408
## 497 1.99877364 6.82660025 4.1896547 2.17475172
## 498 -0.91629073 6.30376029 4.7874917 1.97823904
## 499 0.95165788 5.28277343 6.7979404 1.59127394
## 500 0.58778666 6.45833846 4.9972123 1.36863943
## 501 1.32308829 0.00000000 7.1308988 1.75006904
## 502 1.97546895 6.83239315 0.0000000 1.48387469
## 503 0.29266961 4.21558449 8.3511386 1.92570744
## 504 -4.60517019 1.67505067 1.0986123 1.22377543
## 505 0.61518564 2.76515444 7.7048119 1.02604160
## 506 2.58324255 0.00000000 2.8332133 1.93152141
## 507 2.35991016 5.39585998 2.5649494 1.92861865
## 508 2.39698577 5.18639420 7.6605855 1.92861865
## 509 -3.21887582 -0.40419334 8.3712421 1.16315081
## 510 0.68309684 5.50764025 0.0000000 1.67335124
## 511 1.32308829 0.00000000 2.8903718 1.75006904
## 512 -0.91629073 5.11313997 0.0000000 1.26694760
## 513 2.41591378 8.93380641 6.6592939 2.42036813
## 514 1.75613229 2.29812838 10.1992494 1.68454538
## 515 1.93730177 5.86323430 9.6876919 1.54756251
## 516 -0.75502258 6.06737237 5.0304379 1.37876609
## 517 1.71018782 6.43600621 0.0000000 2.01223279
## 518 2.32238772 3.75822095 1.9459101 1.83418019
## 519 1.99197552 6.33598182 0.0000000 2.15755932
## 520 1.43746265 3.50696525 6.4754327 2.47063868
## 521 2.45787798 7.02824654 0.0000000 1.81156210
## 522 -0.71334989 4.18306637 4.2904594 1.38379123
## 523 0.43178242 3.84804282 1.0986123 1.38379123
## 524 2.49237866 8.07247358 5.5451774 2.07819076
## 525 1.55814462 5.65910141 0.0000000 1.57484647
## 526 2.32434658 6.50089261 3.6888795 0.15700375
## 527 2.52972067 0.00000000 0.0000000 1.80828877
## 528 -0.21072103 3.16665424 10.4789204 1.58719230
## 529 2.51769647 7.27692232 0.0000000 2.01889504
## 530 2.25023861 8.81896883 0.0000000 0.53062825
## 531 2.14241634 0.00000000 4.1896547 2.71800053
## 532 -0.49429632 4.62312208 3.1780538 1.88555335
## 533 2.15755932 4.66499153 3.7841896 2.10046891
## 534 2.10291390 6.65933705 3.6635616 2.04769284
## 535 -1.56064775 5.71263510 1.9459101 1.88403475
## 536 0.94390590 5.20973841 9.4905446 1.44926916
## 537 1.99061033 6.20117412 0.0000000 2.00955541
## 538 1.93874166 8.56018923 5.9188939 2.24283509
## 539 -0.49429632 6.28278743 0.6931472 2.17247641
## 540 -4.60517019 1.62987748 0.0000000 2.02287119
## 541 -4.60517019 -0.92324293 8.1559363 0.95165788
## 542 1.32308829 0.00000000 0.0000000 1.75006904
## 543 0.90421815 0.00000000 4.7791235 1.43983513
## 544 -4.60517019 6.81912724 0.0000000 1.56024767
## 545 1.89311196 3.79001064 0.0000000 1.67147330
## 546 1.10856262 6.82307636 0.6931472 1.64865863
## 547 1.51292701 0.54615135 3.7612001 0.26236426
## 548 1.23837423 5.95197737 0.0000000 2.23108909
## 549 -4.60517019 6.56379299 0.0000000 2.26799365
## 550 -4.60517019 0.00000000 4.8202816 1.77495235
## 551 1.05082162 3.65252326 5.3798974 2.01889504
## 552 2.25234388 8.21145228 0.0000000 2.27829240
## 553 0.63657683 0.00000000 0.0000000 2.62176583
## 554 -4.60517019 6.33650126 2.3025851 1.64865863
## 555 -4.60517019 5.14144518 5.8692969 1.74396881
## 556 1.60743591 2.32516828 3.4011974 1.60542989
## 557 -4.60517019 3.65665852 3.8918203 2.10535292
## 558 -4.60517019 4.36030751 0.0000000 2.81000492
## 559 1.81319475 5.40034527 8.0671490 2.00417906
## 560 1.28923265 2.97576820 0.0000000 1.78170913
## 561 1.74396881 2.41828182 0.6931472 1.96009478
## 562 2.11625551 6.69132977 0.6931472 1.14103300
## 563 1.38379123 5.84279404 5.5490761 1.77833645
## 564 1.91397710 2.00279962 3.2580965 2.13888900
## 565 -0.51082562 5.92228290 3.7135721 2.12226154
## 566 -1.46967597 4.99711816 7.8958084 1.34547237
## 567 2.58399755 0.00000000 0.6931472 1.91985947
## 568 1.32308829 0.00000000 0.0000000 1.75006904
## 569 -3.21887582 0.00000000 5.9914645 1.75440368
## 570 -4.60517019 3.36671743 8.3542036 0.94000726
## 571 2.45444744 0.00000000 0.0000000 1.63899671
## 572 -2.12026354 4.08865591 1.0986123 1.80828877
## 573 0.56531381 0.00000000 0.0000000 2.62684015
## 574 2.34851402 8.88059269 4.5849675 2.26176310
## 575 1.29472717 3.61553125 0.0000000 1.73342389
## 576 1.25846099 2.95177165 0.0000000 1.76814960
## 577 2.50307395 0.00000000 5.2417470 2.07693841
## 578 0.51282363 4.23612257 3.1780538 2.16332303
## 579 1.73871025 6.26835449 0.0000000 2.18605128
## 580 2.47653840 5.08417930 0.0000000 2.11142459
## 581 1.32308829 0.00000000 5.4806389 1.75006904
## 582 -1.60943791 3.39273973 3.8066625 1.51512723
## 583 1.32308829 0.00000000 1.3862944 1.75006904
## 584 0.16551444 8.42999476 4.3040651 1.13140211
## 585 -1.13943428 3.76909906 0.0000000 1.85629799
## 586 2.38600670 5.58553067 6.3630281 1.79009141
## 587 0.46373402 4.61018779 1.7917595 2.22137504
## 588 -0.49429632 4.70935276 9.7767899 2.03992078
## lPopulation lHIV.AIDS lGDP
## 1 14.381658 -2.30258509 10.781516
## 2 13.523226 -0.91629073 8.141190
## 3 16.944320 2.53369681 9.466532
## 4 11.475338 -2.30258509 5.549076
## 5 18.614825 -1.60943791 14.109588
## 6 15.017172 -2.30258509 9.396488
## 7 10.761450 0.40546511 7.782390
## 8 9.653615 -2.30258509 11.850733
## 9 15.540940 -2.30258509 12.747187
## 10 12.511511 -2.30258509 8.449771
## 11 14.592934 -2.30258509 12.184139
## 12 9.729075 -0.35667494 9.078978
## 13 13.804836 -2.30258509 11.818084
## 14 14.241576 2.92852352 8.188967
## 15 13.252937 -2.30258509 13.970823
## 16 13.052467 -2.30258509 14.119740
## 17 10.112694 -2.30258509 9.529594
## 18 15.346617 -2.30258509 12.644260
## 19 11.660587 -2.30258509 6.684612
## 20 13.380522 0.40546511 9.030615
## 21 14.122736 -1.20397280 10.507585
## 22 13.803895 -0.69314718 8.701679
## 23 12.352992 0.91629073 9.396239
## 24 9.372544 -2.30258509 10.347660
## 25 11.203557 -2.30258509 12.799607
## 26 10.949982 -2.30258509 10.936921
## 27 16.922184 -0.91629073 9.356948
## 28 16.336454 -0.22314355 9.951420
## 29 8.600983 -0.51082562 7.873217
## 30 15.130082 -2.30258509 12.616044
## 31 13.945164 3.70622809 8.151622
## 32 14.051126 0.47000363 8.129764
## 33 10.688849 -2.30258509 8.076826
## 34 14.799128 -1.60943791 9.461488
## 35 14.692503 -2.30258509 9.910612
## 36 15.786530 -2.30258509 10.835888
## 37 14.085572 -2.30258509 9.537339
## 38 15.299790 -2.30258509 7.329750
## 39 16.235533 -2.30258509 10.660642
## 40 15.270932 0.09531018 8.063693
## 41 16.111833 -2.30258509 8.002360
## 42 14.891321 -2.30258509 14.935463
## 43 14.231138 1.56861592 10.241280
## 44 16.700287 1.97408103 9.948031
## 45 14.444499 0.33647224 10.819518
## 46 15.916220 -2.30258509 12.616386
## 47 18.032721 -2.30258509 12.893096
## 48 15.683176 -0.35667494 11.807839
## 49 12.307347 -2.30258509 10.929153
## 50 12.554180 -0.22314355 7.291656
## 51 17.186641 -2.30258509 11.787629
## 52 15.049317 -2.30258509 14.399583
## 53 14.906334 -2.30258509 12.686262
## 54 12.315711 -2.30258509 13.954307
## 55 8.742095 -2.30258509 8.315811
## 56 12.573884 -2.30258509 9.490091
## 57 14.138752 1.85629799 10.288784
## 58 16.492269 -1.20397280 9.459541
## 59 14.373293 1.02961942 9.428270
## 60 13.742480 -2.30258509 12.879573
## 61 11.630548 -2.30258509 10.381955
## 62 16.318769 3.77276094 8.808369
## 63 17.081836 -1.60943791 9.242420
## 64 15.145035 -2.30258509 9.047704
## 65 14.506522 -2.30258509 10.296711
## 66 13.097767 -2.30258509 10.940969
## 67 15.602515 -1.20397280 9.491300
## 68 11.774420 -2.30258509 10.569135
## 69 16.533701 -2.30258509 13.347318
## 70 14.095183 -2.30258509 10.044075
## 71 14.119146 -2.30258509 9.554426
## 72 13.170951 -2.30258509 8.475120
## 73 11.771042 2.37024374 8.582044
## 74 15.485742 -2.30258509 12.562754
## 75 13.683912 1.52605630 10.373897
## 76 14.526253 -2.30258509 12.199692
## 77 15.883941 -2.30258509 13.481279
## 78 16.755465 -2.30258509 11.943408
## 79 17.696716 -0.69314718 9.391578
## 80 13.394644 -1.60943791 9.680344
## 81 15.580897 -2.30258509 14.609906
## 82 14.677340 -2.30258509 12.067397
## 83 10.730619 -2.30258509 9.999843
## 84 13.424855 -0.10536052 8.239857
## 85 14.409734 -0.51082562 9.378563
## 86 17.091744 -1.60943791 9.437077
## 87 13.609983 -2.30258509 7.409742
## 88 16.330475 3.74004774 8.821290
## 89 13.786062 -2.30258509 9.825796
## 90 15.021404 -2.30258509 10.077357
## 91 15.602822 -2.30258509 11.003665
## 92 13.508833 -2.30258509 10.902058
## 93 17.386298 -2.30258509 16.680603
## 94 14.369250 -2.30258509 12.495098
## 95 15.935609 -2.30258509 11.374112
## 96 10.303002 -2.30258509 9.364091
## 97 16.645184 -2.30258509 13.548380
## 98 17.682367 -2.30258509 12.851187
## 99 17.177607 -2.30258509 10.669351
## 100 13.671567 0.99325177 7.122060
## 101 15.377482 -2.30258509 13.049616
## 102 14.018662 1.13140211 10.453255
## 103 12.387014 -2.30258509 10.831074
## 104 10.957347 -1.60943791 9.172015
## 105 8.746557 -2.30258509 11.820675
## 106 13.120253 -0.51082562 7.491645
## 107 14.405612 -2.30258509 12.030379
## 108 13.994607 -2.30258509 10.445143
## 109 9.058936 -2.30258509 12.603952
## 110 12.752094 -2.30258509 16.526820
## 111 15.096220 -1.20397280 11.053996
## 112 14.668518 -2.30258509 14.199819
## 113 16.665011 -0.35667494 8.759669
## 114 13.706620 -1.20397280 9.951325
## 115 14.707211 2.45100510 8.731175
## 116 17.870513 -2.30258509 14.406926
## 117 11.718662 3.07269331 8.398184
## 118 13.096793 -0.69314718 9.265491
## 119 13.989382 -1.20397280 6.570883
## 120 13.748645 1.62924054 7.916807
## 121 14.489691 -0.35667494 6.059123
## 122 16.646536 0.47000363 9.572550
## 123 16.607999 -2.30258509 11.905285
## 124 14.519358 -2.30258509 12.492375
## 125 12.116635 -0.69314718 5.433722
## 126 17.574893 -2.30258509 13.882287
## 127 15.139252 -2.30258509 12.557448
## 128 16.274746 3.22286785 7.823246
## 129 17.375290 -2.30258509 16.639457
## 130 15.182990 -2.30258509 9.616738
## 131 18.002498 -0.69314718 12.309342
## 132 9.637437 -2.30258509 6.111467
## 133 9.864695 -2.30258509 9.975901
## 134 15.695865 1.66770682 6.776507
## 135 16.083909 -2.30258509 10.315928
## 136 12.528870 -2.30258509 8.436850
## 137 11.660207 -2.30258509 11.121496
## 138 11.772787 -2.30258509 14.486078
## 139 15.769526 -2.30258509 8.806574
## 140 11.610542 -2.30258509 6.545350
## 141 14.412846 1.30833282 9.775427
## 142 16.369069 -1.20397280 10.105121
## 143 13.576474 -0.69314718 7.602900
## 144 13.701388 -2.30258509 8.451481
## 145 16.806078 -0.91629073 9.178230
## 146 13.395788 -2.30258509 6.820016
## 147 18.228723 -2.30258509 14.732457
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## 569 14.514799 -2.30258509 10.606956
## 570 9.666689 -2.30258509 11.792192
## 571 13.255657 -1.60943791 9.026177
## 572 11.245948 -1.60943791 6.930495
## 573 9.445571 -2.30258509 5.693732
## 574 12.100562 -2.30258509 13.156432
## 575 12.560216 -0.69314718 9.602855
## 576 14.149657 -1.20397280 10.753681
## 577 13.037222 -2.30258509 14.699908
## 578 12.926706 -2.30258509 10.279146
## 579 15.000160 -1.60943791 9.616672
## 580 14.503105 -2.30258509 9.917883
## 581 14.293536 -2.30258509 12.181160
## 582 12.097468 0.78845736 8.832442
## 583 15.358132 -2.30258509 12.585755
## 584 13.651473 -2.30258509 10.703918
## 585 13.546536 -1.60943791 8.637994
## 586 14.189585 -1.20397280 12.752661
## 587 3.583519 -2.30258509 7.760041
## 588 15.584055 0.33647224 8.006368
Feature Selection on the 12 continuous variables with transformations and multicollinear variables removed:
Note: Region needs to be changed into a number for the stepwise test.
Forward and Backward Elimination and Both
# install.packages("olsrr")
library(olsrr)
##
## Attaching package: 'olsrr'
## The following object is masked from 'package:datasets':
##
## rivers
library(leaps)
LE_fit3 = lm(Life_Expectancy~ linfant.deaths + lAlcohol+ lpercentage.expenditure +
Hepatitis.B.x + lMeasles+ lTotal.expenditure+ lPopulation +
poly(Diphtheria,2)+ lHIV.AIDS+ thinness..1.19.years+
Income.composition.of.resources+ lGDP, data = LEdata_clean3)
# summary(LE_fit2)
cat("\n\n--------Forward Elimination---------\n\n")
##
##
## --------Forward Elimination---------
# penter == the threshold for variable entrance.
ols_step_forward_p(LE_fit3, penter = .05, details = FALSE) # lists selected variables
##
## Selection Summary
## ----------------------------------------------------------------------------------------------------
## Variable Adj.
## Step Entered R-Square R-Square C(p) AIC RMSE
## ----------------------------------------------------------------------------------------------------
## 1 lHIV.AIDS 0.7665 0.7663 1643.5658 13896.3513 4.6491
## 2 Income.composition.of.resources 0.8020 0.8017 1039.3602 13510.8295 4.2820
## 3 linfant.deaths 0.8546 0.8543 143.5797 12787.6732 3.6706
## 4 lGDP 0.8581 0.8577 85.3417 12733.9725 3.6274
## 5 poly(Diphtheria, 2) 0.8599 0.8595 56.1844 12705.5623 3.6047
## 6 lMeasles 0.8609 0.8604 41.2159 12690.8336 3.5927
## 7 lpercentage.expenditure 0.8618 0.8612 28.2607 12677.9904 3.5821
## 8 Hepatitis.B.x 0.8625 0.8620 17.2848 12667.0352 3.5730
## 9 lPopulation 0.8630 0.8624 10.6784 12660.4030 3.5672
## 10 lTotal.expenditure NA NA NA NA NA
## ----------------------------------------------------------------------------------------------------
cat("\n\n--------Backward Elimination---------\n\n")
##
##
## --------Backward Elimination---------
# penter == the threshold for variable entrance.
ols_step_backward_p(LE_fit3, penter = .05, details = FALSE) # lists only variables removed from the model
##
##
## Elimination Summary
## ---------------------------------------------------------------------------------------
## Variable Adj.
## Step Removed R-Square R-Square C(p) AIC RMSE
## ---------------------------------------------------------------------------------------
## 1 thinness..1.19.years 0.8632 0.8625 10.0372 12659.7475 3.5660
## ---------------------------------------------------------------------------------------
cat("\n\n--------Both Elimination---------\n\n")
##
##
## --------Both Elimination---------
# penter == the threshold for variable entrance.
ols_step_both_p(LE_fit3, pent = .05, prem = .05, details = FALSE)
##
## Stepwise Selection Summary
## ----------------------------------------------------------------------------------------------------------------
## Added/ Adj.
## Step Variable Removed R-Square R-Square C(p) AIC RMSE
## ----------------------------------------------------------------------------------------------------------------
## 1 lHIV.AIDS addition 0.766 0.766 1643.5660 13896.3513 4.6491
## 2 Income.composition.of.resources addition 0.802 0.802 1039.3600 13510.8295 4.2820
## 3 linfant.deaths addition 0.855 0.854 143.5800 12787.6732 3.6706
## 4 lGDP addition 0.858 0.858 85.3420 12733.9725 3.6274
## 5 poly(Diphtheria, 2) addition 0.860 0.859 56.1840 12705.5623 3.6047
## 6 lMeasles addition 0.861 0.860 41.2160 12690.8336 3.5927
## 7 lpercentage.expenditure addition 0.862 0.861 28.2610 12677.9904 3.5821
## 8 Hepatitis.B.x addition 0.863 0.862 17.2850 12667.0352 3.5730
## 9 lPopulation addition 0.863 0.862 10.6780 12660.4030 3.5672
## ----------------------------------------------------------------------------------------------------------------
Model updated with transformations to improve homoscedacity.
Multicorrelated continuous terms removed: (thinness.5.9.years, BMI, under.five.deaths, Schooling, Polio, Population, Adult.Mortality)
Only sub.region + Status are kept as categorical variables.
# lm model with only stepwise continuous variables
Stepwise_8_LE_LM_Cont_Model <- lm(Life_Expectancy~ linfant.deaths + lpercentage.expenditure +
lMeasles+ lTotal.expenditure+ lPopulation +
lHIV.AIDS+
Income.composition.of.resources+ lGDP, data=LEdata_clean3)
cat("\n\n------------Stepwise 8 Reduction Continuous LM-------------------\n\n")
##
##
## ------------Stepwise 8 Reduction Continuous LM-------------------
summary(Stepwise_8_LE_LM_Cont_Model)
##
## Call:
## lm(formula = Life_Expectancy ~ linfant.deaths + lpercentage.expenditure +
## lMeasles + lTotal.expenditure + lPopulation + lHIV.AIDS +
## Income.composition.of.resources + lGDP, data = LEdata_clean3)
##
## Residuals:
## Min 1Q Median 3Q Max
## -23.4158 -1.9978 0.0384 1.9669 14.7190
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 52.08020 0.56739 91.789 < 2e-16 ***
## linfant.deaths -1.90073 0.07181 -26.470 < 2e-16 ***
## lpercentage.expenditure 0.11665 0.03038 3.840 0.000126 ***
## lMeasles -0.18562 0.02962 -6.268 4.35e-10 ***
## lTotal.expenditure 0.53160 0.16135 3.295 0.001000 ***
## lPopulation -0.11716 0.03525 -3.324 0.000901 ***
## lHIV.AIDS -2.82442 0.05920 -47.710 < 2e-16 ***
## Income.composition.of.resources 4.87099 0.54852 8.880 < 2e-16 ***
## lGDP 1.43124 0.05101 28.056 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.61 on 2341 degrees of freedom
## Multiple R-squared: 0.8595, Adjusted R-squared: 0.8591
## F-statistic: 1791 on 8 and 2341 DF, p-value: < 2.2e-16
# lm model with stepwise categorical variables
Stepwise_11_LE_LM_Cat_Model <- lm(Life_Expectancy~ linfant.deaths + lpercentage.expenditure +
region+ lPopulation +
poly(Diphtheria,2)+ lHIV.AIDS+ lpercentage.expenditure +
Income.composition.of.resources+ lGDP + lTotal.expenditure, data=LEdata_clean3)
cat("\n\n------------Stepwise 11 Backwards Categorical LM-------------------\n\n")
##
##
## ------------Stepwise 11 Backwards Categorical LM-------------------
summary(Stepwise_11_LE_LM_Cat_Model)
##
## Call:
## lm(formula = Life_Expectancy ~ linfant.deaths + lpercentage.expenditure +
## region + lPopulation + poly(Diphtheria, 2) + lHIV.AIDS +
## lpercentage.expenditure + Income.composition.of.resources +
## lGDP + lTotal.expenditure, data = LEdata_clean3)
##
## Residuals:
## Min 1Q Median 3Q Max
## -24.1919 -1.9120 0.0652 1.9138 13.9431
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 52.91805 0.59284 89.261 < 2e-16 ***
## linfant.deaths -1.81949 0.07406 -24.568 < 2e-16 ***
## lpercentage.expenditure 0.12231 0.02922 4.186 2.94e-05 ***
## regionAmericas 3.03848 0.27745 10.951 < 2e-16 ***
## regionAsia 0.43257 0.27833 1.554 0.120279
## regionEurope 0.73950 0.32641 2.266 0.023569 *
## regionOceania 1.41734 0.39945 3.548 0.000395 ***
## lPopulation -0.13793 0.03430 -4.021 5.97e-05 ***
## poly(Diphtheria, 2)1 29.59530 4.17092 7.096 1.70e-12 ***
## poly(Diphtheria, 2)2 21.98026 3.97891 5.524 3.68e-08 ***
## lHIV.AIDS -2.60758 0.07474 -34.890 < 2e-16 ***
## Income.composition.of.resources 4.29677 0.52892 8.124 7.24e-16 ***
## lGDP 1.33092 0.05201 25.591 < 2e-16 ***
## lTotal.expenditure 0.19644 0.16128 1.218 0.223348
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.463 on 2336 degrees of freedom
## Multiple R-squared: 0.871, Adjusted R-squared: 0.8703
## F-statistic: 1214 on 13 and 2336 DF, p-value: < 2.2e-16
Check for a balance in bais-variance
library(caret)
set.seed(1234)
trainIndex<-createDataPartition(LEdata_clean3$Life_Expectancy,p=.75,list=F) #p: proportion of data in train
training<-LEdata_clean3[trainIndex,]
validate<-LEdata_clean3[-trainIndex,]
fwd.train=regsubsets(Life_Expectancy~ linfant.deaths + lpercentage.expenditure +
region+ lPopulation +
poly(Diphtheria,2)+ lHIV.AIDS+ lpercentage.expenditure +
Income.composition.of.resources+ lGDP,
data=training,method="forward",nvmax=9)
#Creating a prediction function
predict.regsubsets =function (object , newdata ,id ,...){
form=as.formula (object$call [[2]])
mat=model.matrix(form ,newdata )
coefi=coef(object ,id=id)
xvars=names(coefi)
mat[,xvars]%*%coefi
}
valMSE<-c()
#note my index, i, is to 12 since that is how many predictors I went up to during fwd selection
for (i in 1:9){
predictions<-predict.regsubsets(object=fwd.train,newdata=validate,id=i)
valMSE[i]<-mean((validate$Life_Expectancy-predictions)^2)
}
par(mfrow=c(1,1))
plot(1:9,sqrt(valMSE),type="l",xlab="# of predictors",ylab="test vs train RMSE",ylim=c(.45,7))
index<-which(valMSE==min(valMSE))
points(index,sqrt(valMSE[index]),col="red",pch=10)
trainMSE<-summary(fwd.train)$rss/nrow(training)
lines(1:9,sqrt(trainMSE),lty=3,col="blue")
Recheck the assumptions.
The returned graphs show that the normality issue is improved with the categorical lm, it remains the same with continuous - CLM would fix.
The equal variance issue is also improved (The nvcTest on both models returns a very small p-value).
Linear assumption appears good and met.
There are still a lot of high leverage outliers.
plot(Stepwise_8_LE_LM_Cont_Model, 1, main="Linear Relationship with Stepwise 8 Continuous Variables")
# add a qq-plot with normal distribution and range lines to the Continuous model.
qqPlot(Stepwise_8_LE_LM_Cont_Model, main="QQ Plot with Stepwise 8 Continuous Variables", distribution="norm", id=F) #qq normal plot for studentized resid
hist(Stepwise_8_LE_LM_Cont_Model$residuals)
# Traditional lm with continuous variables
plot(Stepwise_8_LE_LM_Cont_Model, 3:4, main="Stepwise 8 Continuous")
# Influence Plot and list of top influencers - Continuous
influencePlot(Stepwise_8_LE_LM_Cont_Model, id=list(method="noteworthy", n=5, cex=1, col=carPalette()[1], location="lr"),
main="Influence Plot", sub="Circle area is proportial to Cook's Distance - Stepwise Continuous" )
## StudRes Hat CookD
## 65 -0.98091248 0.016612000 1.806018e-03
## 320 4.09912599 0.004095968 7.627061e-03
## 536 -6.55484651 0.003377226 1.589262e-02
## 1092 -0.40921811 0.016441721 3.111493e-04
## 1190 -5.42371359 0.006542298 2.126630e-02
## 1222 -5.45558126 0.004795663 1.574245e-02
## 1457 -4.25417305 0.006732766 1.353178e-02
## 1729 -3.49469974 0.008250081 1.123461e-02
## 2053 0.32874297 0.015439011 1.883705e-04
## 2076 0.01455633 0.016295182 3.901587e-07
## 2110 0.48026697 0.014935116 3.886954e-04
cat("\n\n--------Non-Constant Error Variance Test Stepwise 8 Continuous----------\n\n")
##
##
## --------Non-Constant Error Variance Test Stepwise 8 Continuous----------
# Non-Constant Error Variance Test
# The null hypothesis for the Non-Constant Error Variance Test is that the error variance is constant across all levels of the fitted values.
# The alternative hypothesis is that the error variance is not constant.
# if models' p-values is more than 0.05 then we would reject the null.
ncvTest(Stepwise_8_LE_LM_Cont_Model)
## Non-constant Variance Score Test
## Variance formula: ~ fitted.values
## Chisquare = 139.0772, Df = 1, p = < 2.22e-16
# VIF test
# A value of 1 indicates there is no correlation.
# A value between 1 and 5 indicates moderate correlation.
# A value greater than 5 indicates potentially severe correlation.
cat("\n\n-------------------VIF Check Setepwise 8 Continuous-----------------\n\n")
##
##
## -------------------VIF Check Setepwise 8 Continuous-----------------
car::vif(Stepwise_8_LE_LM_Cont_Model)
## linfant.deaths lpercentage.expenditure
## 2.762845 1.262543
## lMeasles lTotal.expenditure
## 1.684225 1.049618
## lPopulation lHIV.AIDS
## 1.361567 1.624808
## Income.composition.of.resources lGDP
## 2.293660 2.494957
#############################################################################
plot(Stepwise_11_LE_LM_Cat_Model, 1, main="Linear Relationship with Stepwise 9+ Categorical Variables")
# add a qq-plot with normal distribution and range lines to the Continuous model.
qqPlot(Stepwise_11_LE_LM_Cat_Model, main="QQ Plot with Stepwise 9+ Categorical Variables", distribution="norm", id=F) #qq normal plot for studentized resid
hist(Stepwise_11_LE_LM_Cat_Model$residuals)
# Traditional lm with continuous variables
plot(Stepwise_11_LE_LM_Cat_Model, 3:4, main="Stepwise 9+ Categorical")
# Influence Plot and list of top influencers - Continuous
influencePlot(Stepwise_11_LE_LM_Cat_Model, id=list(method="noteworthy", n=5, cex=1, col=carPalette()[1], location="lr"),
main="Influence Plot", sub="Circle area is proportial to Cook's Distance - Stepwise Categorical" )
## StudRes Hat CookD
## 2 -0.1926689 0.019401075 5.248182e-05
## 536 -7.0815179 0.006313910 2.229109e-02
## 690 0.8199580 0.020732792 1.016887e-03
## 692 0.9602562 0.020526329 1.380318e-03
## 747 0.1065925 0.020663991 1.713136e-05
## 1092 -0.1473959 0.022627807 3.594240e-05
## 1190 -5.3169095 0.009175230 1.848290e-02
## 1222 -5.3874143 0.006847768 1.412495e-02
## 1457 -4.1331726 0.007437459 9.080838e-03
## 1545 -4.0040405 0.011665434 1.343013e-02
## 1707 -4.1105846 0.003606161 4.338581e-03
cat("\n\n--------Non-Constant Error Variance Test Stepwise 9+ Categorical----------\n\n")
##
##
## --------Non-Constant Error Variance Test Stepwise 9+ Categorical----------
# Non-Constant Error Variance Test
# The null hypothesis for the Non-Constant Error Variance Test is that the error variance is constant across all levels of the fitted values.
# The alternative hypothesis is that the error variance is not constant.
# if models' p-values is more than 0.05 then we would reject the null.
ncvTest(Stepwise_11_LE_LM_Cat_Model)
## Non-constant Variance Score Test
## Variance formula: ~ fitted.values
## Chisquare = 127.7897, Df = 1, p = < 2.22e-16
# VIF test
# A value of 1 indicates there is no correlation.
# A value between 1 and 5 indicates moderate correlation.
# A value greater than 5 indicates potentially severe correlation.
cat("\n\n-------------------VIF Check Stepwise 9+ Categorical-----------------\n\n")
##
##
## -------------------VIF Check Stepwise 9+ Categorical-----------------
car::vif(Stepwise_11_LE_LM_Cat_Model)
## GVIF Df GVIF^(1/(2*Df))
## linfant.deaths 3.194396 1 1.787287
## lpercentage.expenditure 1.269593 1 1.126762
## region 4.619663 4 1.210811
## lPopulation 1.401421 1 1.183816
## poly(Diphtheria, 2) 1.780050 2 1.155069
## lHIV.AIDS 2.814713 1 1.677711
## Income.composition.of.resources 2.317993 1 1.522495
## lGDP 2.818394 1 1.678807
## lTotal.expenditure 1.139882 1 1.067652
Training set for categorical model with stepwise variables
Note lower RSE suggests the model fits better. Higher adjusted R-squared suggests a better fit (ranges 0 to 1).
Lower RMSE indicates that the prediction is closer to the response variable (life expectancy).
# lm model with only stepwise 8 continuous variables
Train_Stepwise_LECont_Model8 <- lm(Life_Expectancy~ linfant.deaths + lpercentage.expenditure +
lMeasles+ lTotal.expenditure+ lPopulation +
lHIV.AIDS+
Income.composition.of.resources+ lGDP, data=LEdata_clean3) # New Training set
cat("\n\n------------Stepwise 8 Reduction Continuous LM-------------------\n\n")
##
##
## ------------Stepwise 8 Reduction Continuous LM-------------------
summary(Train_Stepwise_LECont_Model8)
##
## Call:
## lm(formula = Life_Expectancy ~ linfant.deaths + lpercentage.expenditure +
## lMeasles + lTotal.expenditure + lPopulation + lHIV.AIDS +
## Income.composition.of.resources + lGDP, data = LEdata_clean3)
##
## Residuals:
## Min 1Q Median 3Q Max
## -23.4158 -1.9978 0.0384 1.9669 14.7190
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 52.08020 0.56739 91.789 < 2e-16 ***
## linfant.deaths -1.90073 0.07181 -26.470 < 2e-16 ***
## lpercentage.expenditure 0.11665 0.03038 3.840 0.000126 ***
## lMeasles -0.18562 0.02962 -6.268 4.35e-10 ***
## lTotal.expenditure 0.53160 0.16135 3.295 0.001000 ***
## lPopulation -0.11716 0.03525 -3.324 0.000901 ***
## lHIV.AIDS -2.82442 0.05920 -47.710 < 2e-16 ***
## Income.composition.of.resources 4.87099 0.54852 8.880 < 2e-16 ***
## lGDP 1.43124 0.05101 28.056 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.61 on 2341 degrees of freedom
## Multiple R-squared: 0.8595, Adjusted R-squared: 0.8591
## F-statistic: 1791 on 8 and 2341 DF, p-value: < 2.2e-16
# lm model with stepwise 9+ categorical variables
Train_Stepwise_LECat_Model9 <- lm(Life_Expectancy~ linfant.deaths + lpercentage.expenditure +
region+ lPopulation +
poly(Diphtheria,2)+ lHIV.AIDS+ lpercentage.expenditure +
Income.composition.of.resources+ lGDP, data=LEdata_clean3) # New Training set
cat("\n\n------------Stepwise 9+ Backwards Categorical LM-------------------\n\n")
##
##
## ------------Stepwise 9+ Backwards Categorical LM-------------------
summary(Train_Stepwise_LECat_Model9)
##
## Call:
## lm(formula = Life_Expectancy ~ linfant.deaths + lpercentage.expenditure +
## region + lPopulation + poly(Diphtheria, 2) + lHIV.AIDS +
## lpercentage.expenditure + Income.composition.of.resources +
## lGDP, data = LEdata_clean3)
##
## Residuals:
## Min 1Q Median 3Q Max
## -24.1060 -1.9051 0.0569 1.9104 13.9386
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 53.28753 0.50941 104.607 < 2e-16 ***
## linfant.deaths -1.81619 0.07402 -24.537 < 2e-16 ***
## lpercentage.expenditure 0.12083 0.02919 4.139 3.61e-05 ***
## regionAmericas 3.08111 0.27527 11.193 < 2e-16 ***
## regionAsia 0.40462 0.27741 1.459 0.144821
## regionEurope 0.78706 0.32410 2.428 0.015237 *
## regionOceania 1.45109 0.39853 3.641 0.000277 ***
## lPopulation -0.14326 0.03402 -4.210 2.65e-05 ***
## poly(Diphtheria, 2)1 30.14423 4.14692 7.269 4.91e-13 ***
## poly(Diphtheria, 2)2 22.17095 3.97624 5.576 2.75e-08 ***
## lHIV.AIDS -2.60456 0.07470 -34.865 < 2e-16 ***
## Income.composition.of.resources 4.28109 0.52882 8.096 9.07e-16 ***
## lGDP 1.33440 0.05193 25.694 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.463 on 2337 degrees of freedom
## Multiple R-squared: 0.871, Adjusted R-squared: 0.8703
## F-statistic: 1315 on 12 and 2337 DF, p-value: < 2.2e-16
# Calculate values
r_sq1 <- summary(Train_Stepwise_LECont_Model8)$r.squared
prediction1 <- predict(Train_Stepwise_LECont_Model8, newdata = Testing_data_Shared3)
residuals1 <- resid(Train_Stepwise_LECont_Model8) #testing_set_LE$Life.expectancy - prediction1
rmse1 <- sqrt(mean(residuals1^2, na.rm=TRUE))
ErrorRate12 <- sigma(Train_Stepwise_LECont_Model8) / mean(LEdata_clean3$Life_Expectancy)
cat("\n\n------------8 features---------------\n\n")
##
##
## ------------8 features---------------
print(paste0("R-squared for 8 features model:", round(r_sq1, 4)))
## [1] "R-squared for 8 features model:0.8595"
print(paste0("RMSE for 8 features model: ", round(rmse1,4)))
## [1] "RMSE for 8 features model: 3.6033"
print(paste0("Error Rate for 8 features model: ", (round(ErrorRate12,4) *100)))
## [1] "Error Rate for 8 features model: 5.22"
confint(Train_Stepwise_LECont_Model8, level=0.95)
## 2.5 % 97.5 %
## (Intercept) 50.96756287 53.19283315
## linfant.deaths -2.04154691 -1.75992112
## lpercentage.expenditure 0.05708082 0.17621220
## lMeasles -0.24369936 -0.12754869
## lTotal.expenditure 0.21520334 0.84799378
## lPopulation -0.18628018 -0.04804249
## lHIV.AIDS -2.94050807 -2.70833139
## Income.composition.of.resources 3.79534707 5.94663587
## lGDP 1.33120040 1.53127440
r_sq2 <- summary(Train_Stepwise_LECat_Model9)$r.squared
prediction2 <- predict(Train_Stepwise_LECat_Model9, newdata = Testing_data_Shared3)
residuals2 <- resid(Train_Stepwise_LECat_Model9)
rmse2 <- sqrt(mean(residuals2^2, na.rm=TRUE))
ErrorRate9 <- sigma(Train_Stepwise_LECat_Model9) / mean(LEdata_clean3$Life_Expectancy)
cat("\n\n------------Categorical 9+ features---------------\n\n")
##
##
## ------------Categorical 9+ features---------------
print(paste0("R-squared for 9+ features model: ", round(r_sq2, 4)))
## [1] "R-squared for 9+ features model: 0.871"
print(paste0("RMSE for 9+ features model: ", round(rmse2,4)))
## [1] "RMSE for 9+ features model: 3.4537"
print(paste0("Error Rate for 9+ features model: ", (round(ErrorRate12,4) *100)))
## [1] "Error Rate for 9+ features model: 5.22"
confint(Train_Stepwise_LECat_Model9, level=0.95)
## 2.5 % 97.5 %
## (Intercept) 52.28859532 54.28646752
## linfant.deaths -1.96134372 -1.67104525
## lpercentage.expenditure 0.06358133 0.17808204
## regionAmericas 2.54131564 3.62090036
## regionAsia -0.13937684 0.94861474
## regionEurope 0.15151666 1.42260995
## regionOceania 0.66958593 2.23259145
## lPopulation -0.20997516 -0.07653536
## poly(Diphtheria, 2)1 22.01219729 38.27626666
## poly(Diphtheria, 2)2 14.37362240 29.96827445
## lHIV.AIDS -2.75104677 -2.45806443
## Income.composition.of.resources 3.24408673 5.31808387
## lGDP 1.23255671 1.43623894
Predictions test:
# Select one random observation from LEdata_clean3
random_observation <- LEdata_clean3[sample(nrow(LEdata_clean3), 1), ]
# Select the random value for each column
random_values <- random_observation %>%
dplyr::select(linfant.deaths, lAlcohol, lpercentage.expenditure, Hepatitis.B.x ,
lMeasles, lTotal.expenditure, lPopulation, Diphtheria,
lHIV.AIDS, thinness..1.19.years, Income.composition.of.resources, lGDP) %>%
as.vector()
######################## 8 model ##################################
Subject1 <- data.frame(linfant.deaths = random_values[1],
lpercentage.expenditure = random_values[3],
Hepatitis.B = random_values[4],
lMeasles = random_values[5],
lTotal.expenditure = random_values[6],
lPopulation = random_values[7],
lHIV.AIDS = random_values[9],
Income.composition.of.resources = random_values[11],
lGDP = random_values[12])
print(paste0("Life expectancy for Subject1: ", round(predict(Train_Stepwise_LECont_Model8, Subject1), 2)))
## [1] "Life expectancy for Subject1: 70.6"
################## 9 Plus model ####################
Subject2 <- data.frame(linfant.deaths = random_values[1],
lpercentage.expenditure = random_values[3],
lMeasles = random_values[5],
region = 'Africa',
lTotal.expenditure = random_values[6],
lPopulation = random_values[7],
Diphtheria = random_values[8],
lHIV.AIDS = random_values[9],
Income.composition.of.resources = random_values[11],
lGDP = random_values[12])
print(paste0("Life expectancy for Subject2: ", round(predict(Train_Stepwise_LECat_Model9, Subject2), 2)))
## [1] "Life expectancy for Subject2: 71.56"
print(Subject1)
## linfant.deaths lpercentage.expenditure Hepatitis.B.x lMeasles
## 1 5.583496 3.669317 95 11.78631
## lTotal.expenditure lPopulation lHIV.AIDS Income.composition.of.resources
## 1 1.52388 14.09666 -2.302585 0.672
## lGDP
## 1 15.34034
print(Subject2)
## linfant.deaths lpercentage.expenditure lMeasles region lTotal.expenditure
## 1 5.583496 3.669317 11.78631 Africa 1.52388
## lPopulation Diphtheria lHIV.AIDS Income.composition.of.resources lGDP
## 1 14.09666 97 -2.302585 0.672 15.34034
random_values
## $linfant.deaths
## [1] 5.583496
##
## $lAlcohol
## [1] 1.451614
##
## $lpercentage.expenditure
## [1] 3.669317
##
## $Hepatitis.B.x
## [1] 95
##
## $lMeasles
## [1] 11.78631
##
## $lTotal.expenditure
## [1] 1.52388
##
## $lPopulation
## [1] 14.09666
##
## $Diphtheria
## [1] 97
##
## $lHIV.AIDS
## [1] -2.302585
##
## $thinness..1.19.years
## [1] 4.5
##
## $Income.composition.of.resources
## [1] 0.672
##
## $lGDP
## [1] 15.34034
Bootstrap estimate tightening CI values:
- Bias represents the difference from the original and the avg of the 5000 samples - negative is overestimated and positive is underestimated.
- The standard error show the variability and uncertainty of the estimate.
- Note: In this model, the standard error is very small, suggesting that the coefficients would vary only a small amount if the test were run randomly again.
- The Bias-Corrected and Accelerated (BCA) values show improved intervals for identifying the true interval of the mean
set.seed(1234)
library(boot)
##
## Attaching package: 'boot'
## The following object is masked from 'package:lattice':
##
## melanoma
## The following object is masked from 'package:car':
##
## logit
#define function to calculate fitted regression coefficients
coef_function <- function(formula, data, indices) {
d <- data[indices,] #allows boot to select sample
fit <- lm(formula, data=d) #fit regression model
return(coef(fit)) #return coefficient estimates of model
}
lmformula <- Life_Expectancy~ linfant.deaths + lpercentage.expenditure +
region+ lPopulation +
poly(Diphtheria,2)+ lHIV.AIDS+ lpercentage.expenditure +
Income.composition.of.resources+ lGDP
#perform bootstrapping with 5000 replications
reps <- boot(data=LEdata_clean3, statistic=coef_function, R=5000, formula=lmformula)
#results
cat("\n Results of the Bootstrap, all variables")
##
## Results of the Bootstrap, all variables
reps
##
## ORDINARY NONPARAMETRIC BOOTSTRAP
##
##
## Call:
## boot(data = LEdata_clean3, statistic = coef_function, R = 5000,
## formula = lmformula)
##
##
## Bootstrap Statistics :
## original bias std. error
## t1* 53.2875314 -0.0186039392 0.48992196
## t2* -1.8161945 -0.0010082299 0.07147156
## t3* 0.1208317 -0.0004348321 0.02689012
## t4* 3.0811080 -0.0015833561 0.28588223
## t5* 0.4046190 0.0011827826 0.28048760
## t6* 0.7870633 -0.0007554657 0.32126603
## t7* 1.4510887 0.0061872646 0.37957755
## t8* -0.1432553 0.0007809914 0.03171343
## t9* 30.1442320 0.0433820580 4.56653496
## t10* 22.1709484 -0.0356879928 4.40176119
## t11* -2.6045556 0.0013283422 0.08475719
## t12* 4.2810853 0.0015566090 0.55786753
## t13* 1.3343978 0.0009842074 0.04897046
plot(reps, index=1) #intercept of model
plot(reps, index=10) #disp predictor (HIV.AIDS) variable
#Bootstrapping hypothesis testing - calculate adjusted bootstrap percentile intervals
cat("\n Confidence Intervals for Life_Expectancy \n")
##
## Confidence Intervals for Life_Expectancy
boot.ci(reps, type= c("perc", "basic", "bca"), index=1) #intercept of model
## BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
## Based on 5000 bootstrap replicates
##
## CALL :
## boot.ci(boot.out = reps, type = c("perc", "basic", "bca"), index = 1)
##
## Intervals :
## Level Basic Percentile BCa
## 95% (52.36, 54.26 ) (52.32, 54.21 ) (52.37, 54.28 )
## Calculations and Intervals on Original Scale
cat("\n Confidence Intervals for infant.deaths \n")
##
## Confidence Intervals for infant.deaths
boot.ci(reps, type= c("perc", "basic", "bca"), index=2) #disp predictor (Infant deaths) variable
## BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
## Based on 5000 bootstrap replicates
##
## CALL :
## boot.ci(boot.out = reps, type = c("perc", "basic", "bca"), index = 2)
##
## Intervals :
## Level Basic Percentile BCa
## 95% (-1.955, -1.673 ) (-1.960, -1.677 ) (-1.957, -1.675 )
## Calculations and Intervals on Original Scale
cat("\n Confidence Intervals for Alcohol \n")
##
## Confidence Intervals for Alcohol
boot.ci(reps, type= c("perc", "basic", "bca"), index=3)
## BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
## Based on 5000 bootstrap replicates
##
## CALL :
## boot.ci(boot.out = reps, type = c("perc", "basic", "bca"), index = 3)
##
## Intervals :
## Level Basic Percentile BCa
## 95% ( 0.0686, 0.1760 ) ( 0.0657, 0.1731 ) ( 0.0648, 0.1725 )
## Calculations and Intervals on Original Scale
cat("\n Confidence Intervals for percentage.expenditure \n")
##
## Confidence Intervals for percentage.expenditure
boot.ci(reps, type= c("perc", "basic", "bca"), index=4)
## BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
## Based on 5000 bootstrap replicates
##
## CALL :
## boot.ci(boot.out = reps, type = c("perc", "basic", "bca"), index = 4)
##
## Intervals :
## Level Basic Percentile BCa
## 95% ( 2.533, 3.667 ) ( 2.496, 3.629 ) ( 2.477, 3.604 )
## Calculations and Intervals on Original Scale
cat("\n Confidence Intervals for Hepatitis.B \n")
##
## Confidence Intervals for Hepatitis.B
boot.ci(reps, type= c("perc", "basic", "bca"), index=5)
## BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
## Based on 5000 bootstrap replicates
##
## CALL :
## boot.ci(boot.out = reps, type = c("perc", "basic", "bca"), index = 5)
##
## Intervals :
## Level Basic Percentile BCa
## 95% (-0.1228, 0.9553 ) (-0.1460, 0.9320 ) (-0.1575, 0.9272 )
## Calculations and Intervals on Original Scale
cat("\n Confidence Intervals for Measles \n")
##
## Confidence Intervals for Measles
boot.ci(reps, type= c("perc", "basic", "bca"), index=6)
## BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
## Based on 5000 bootstrap replicates
##
## CALL :
## boot.ci(boot.out = reps, type = c("perc", "basic", "bca"), index = 6)
##
## Intervals :
## Level Basic Percentile BCa
## 95% ( 0.1713, 1.4316 ) ( 0.1425, 1.4028 ) ( 0.1285, 1.3822 )
## Calculations and Intervals on Original Scale
cat("\n Confidence Intervals for Total.expenditure \n")
##
## Confidence Intervals for Total.expenditure
boot.ci(reps, type= c("perc", "basic", "bca"), index=7)
## BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
## Based on 5000 bootstrap replicates
##
## CALL :
## boot.ci(boot.out = reps, type = c("perc", "basic", "bca"), index = 7)
##
## Intervals :
## Level Basic Percentile BCa
## 95% ( 0.696, 2.177 ) ( 0.725, 2.206 ) ( 0.713, 2.199 )
## Calculations and Intervals on Original Scale
cat("\n Confidence Intervals for Population \n")
##
## Confidence Intervals for Population
boot.ci(reps, type= c("perc", "basic", "bca"), index=8)
## BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
## Based on 5000 bootstrap replicates
##
## CALL :
## boot.ci(boot.out = reps, type = c("perc", "basic", "bca"), index = 8)
##
## Intervals :
## Level Basic Percentile BCa
## 95% (-0.2056, -0.0832 ) (-0.2034, -0.0809 ) (-0.2054, -0.0824 )
## Calculations and Intervals on Original Scale
cat("\n Confidence Intervals for Diphtheria \n")
##
## Confidence Intervals for Diphtheria
boot.ci(reps, type= c("perc", "basic", "bca"), index=9)
## BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
## Based on 5000 bootstrap replicates
##
## CALL :
## boot.ci(boot.out = reps, type = c("perc", "basic", "bca"), index = 9)
##
## Intervals :
## Level Basic Percentile BCa
## 95% (21.10, 39.22 ) (21.07, 39.18 ) (21.02, 39.18 )
## Calculations and Intervals on Original Scale
cat("\n Confidence Intervals for AIDS \n")
##
## Confidence Intervals for AIDS
boot.ci(reps, type= c("perc", "basic", "bca"), index=10)
## BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
## Based on 5000 bootstrap replicates
##
## CALL :
## boot.ci(boot.out = reps, type = c("perc", "basic", "bca"), index = 10)
##
## Intervals :
## Level Basic Percentile BCa
## 95% (13.66, 31.01 ) (13.33, 30.68 ) (13.41, 30.75 )
## Calculations and Intervals on Original Scale
cat("\n Confidence Intervals for thinness..1.19.years \n")
##
## Confidence Intervals for thinness..1.19.years
boot.ci(reps, type= c("perc", "basic", "bca"), index=11)
## BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
## Based on 5000 bootstrap replicates
##
## CALL :
## boot.ci(boot.out = reps, type = c("perc", "basic", "bca"), index = 11)
##
## Intervals :
## Level Basic Percentile BCa
## 95% (-2.773, -2.442 ) (-2.767, -2.436 ) (-2.772, -2.439 )
## Calculations and Intervals on Original Scale
cat("\n Confidence Intervals for Income.composition.of.resources \n")
##
## Confidence Intervals for Income.composition.of.resources
boot.ci(reps, type= c("perc", "basic", "bca"), index=12)
## BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
## Based on 5000 bootstrap replicates
##
## CALL :
## boot.ci(boot.out = reps, type = c("perc", "basic", "bca"), index = 12)
##
## Intervals :
## Level Basic Percentile BCa
## 95% ( 3.171, 5.377 ) ( 3.185, 5.391 ) ( 3.193, 5.398 )
## Calculations and Intervals on Original Scale
cat("\n Confidence Intervals forGDP \n")
##
## Confidence Intervals forGDP
boot.ci(reps, type= c("perc", "basic", "bca"), index=13)
## BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
## Based on 5000 bootstrap replicates
##
## CALL :
## boot.ci(boot.out = reps, type = c("perc", "basic", "bca"), index = 13)
##
## Intervals :
## Level Basic Percentile BCa
## 95% ( 1.238, 1.429 ) ( 1.240, 1.431 ) ( 1.238, 1.430 )
## Calculations and Intervals on Original Scale
Confidence Interval comparisons.
#PAIRED BOOTSTRAP
library(boot)
library(lmboot)
boot.p<-paired.boot(Life_Expectancy~ linfant.deaths + lpercentage.expenditure +
region+ lPopulation +
poly(Diphtheria,2)+ lHIV.AIDS+ lpercentage.expenditure +
Income.composition.of.resources+ lGDP, data = LEdata_clean3, B=5000,seed=1234)
t(apply(boot.p$bootEstParam,2,quantile,probs=c(.025,.975)))
## 2.5% 97.5%
## (Intercept) 52.29995473 54.21652392
## linfant.deaths -1.95647020 -1.68180216
## lpercentage.expenditure 0.06945098 0.17508210
## regionAmericas 2.53638679 3.62100996
## regionAsia -0.12323956 0.95211619
## regionEurope 0.19508606 1.39562118
## regionOceania 0.73161609 2.21401674
## lPopulation -0.20219923 -0.08353029
## poly(Diphtheria, 2)1 21.12275475 39.12516862
## poly(Diphtheria, 2)2 13.34266066 30.71009997
## lHIV.AIDS -2.76710858 -2.43772915
## Income.composition.of.resources 3.22194835 5.39560989
## lGDP 1.23666853 1.43201724
#RESITUAL BOOTSTRAP
boot.res<-residual.boot(Life_Expectancy~ linfant.deaths + lpercentage.expenditure +
region+ lPopulation +
poly(Diphtheria,2)+ lHIV.AIDS+ lpercentage.expenditure +
Income.composition.of.resources+ lGDP, data = LEdata_clean3, B=5000,seed=1234)
t(apply(boot.res$bootEstParam,2,quantile,probs=c(.025,.975)))
## 2.5% 97.5%
## (Intercept) 52.2577680 54.27976408
## linfant.deaths -1.9562390 -1.67959254
## lpercentage.expenditure 0.0645397 0.17563195
## regionAmericas 2.5323587 3.61175799
## regionAsia -0.1429754 0.94227986
## regionEurope 0.1494666 1.41059544
## regionOceania 0.6905671 2.21856970
## lPopulation -0.2106633 -0.07659104
## poly(Diphtheria, 2)1 21.8001831 38.12155637
## poly(Diphtheria, 2)2 14.3270451 29.80700214
## lHIV.AIDS -2.7503653 -2.45739319
## Income.composition.of.resources 3.2503869 5.32485015
## lGDP 1.2351143 1.43408020
#Traditional MLR
set.seed(1234)
confint(lm(Life_Expectancy~ linfant.deaths + lpercentage.expenditure +
region+ lPopulation +
poly(Diphtheria,2)+ lHIV.AIDS+ lpercentage.expenditure +
Income.composition.of.resources+ lGDP, data = LEdata_clean3))
## 2.5 % 97.5 %
## (Intercept) 52.28859532 54.28646752
## linfant.deaths -1.96134372 -1.67104525
## lpercentage.expenditure 0.06358133 0.17808204
## regionAmericas 2.54131564 3.62090036
## regionAsia -0.13937684 0.94861474
## regionEurope 0.15151666 1.42260995
## regionOceania 0.66958593 2.23259145
## lPopulation -0.20997516 -0.07653536
## poly(Diphtheria, 2)1 22.01219729 38.27626666
## poly(Diphtheria, 2)2 14.37362240 29.96827445
## lHIV.AIDS -2.75104677 -2.45806443
## Income.composition.of.resources 3.24408673 5.31808387
## lGDP 1.23255671 1.43623894
IV. Model 3: Random Forest
Addressing Objective 2: Create models that best predict life expectancy - Non-Parametric
library(randomForest)
## randomForest 4.7-1.1
## Type rfNews() to see new features/changes/bug fixes.
##
## Attaching package: 'randomForest'
## The following object is masked from 'package:dplyr':
##
## combine
## The following object is masked from 'package:ggplot2':
##
## margin
library(tidyverse)
library(mltools) # one hot encoding
##
## Attaching package: 'mltools'
## The following object is masked from 'package:tidyr':
##
## replace_na
library(data.table)
##
## Attaching package: 'data.table'
## The following objects are masked from 'package:lubridate':
##
## hour, isoweek, mday, minute, month, quarter, second, wday, week,
## yday, year
## The following object is masked from 'package:purrr':
##
## transpose
## The following objects are masked from 'package:dplyr':
##
## between, first, last
library(caret)
Some data cleaning and wrangling
# Get Data
data <-train
data_original <- data
data$Population <- data$Population.x
data$Hepatitis.B <- data$Hepatitis.B.x
data[,c('X','Life_Expectancy','Hepatitis.B.y','Population.y','Hepatitis.B.x','Population.x')]<-c()
# Set datatypes of columns
data$YearFactor <- as.factor(data$Year)
# Log transform variables
singleVars <- colnames(data)
logVars <- c()
nvar <- length(singleVars)
for (ii in 1:nvar){
var <- singleVars[ii]
if ((class(data[,var])=="integer")|(class(data[,var])=="numeric")){
logVar <- paste('log_',var,sep='')
data[,logVar] <- log(data[,var]+1)
logVars <- c(logVars,logVar)
}
}
# Square variables
singleVars <- singleVars[singleVars != "Life.expectancy"]
nvar <- length(singleVars)
squareVars <- c()
numVars <- c()
for (ii in 1:nvar){
var <- singleVars[ii]
if ((class(data[,var])=="integer")|(class(data[,var])=="numeric")){
squareVar <- paste(var,'_Squared',sep='')
data[,squareVar] <- (data[,var])^2
squareVars <- c(squareVars,squareVar)
numVars <- c(numVars,var)
}
}
# Cube variables
nvar <- length(singleVars)
cubeVars <- c()
for (ii in 1:nvar){
var <- singleVars[ii]
if ((class(data[,var])=="integer")|(class(data[,var])=="numeric")){
cubeVar <- paste(var,'_Cubed',sep='')
data[,cubeVar] <- (data[,var])^3
cubeVars <- c(cubeVars,cubeVar)
}
}
data$Country2 <- data$Country
data$Country2 <- as.character(data$Country2)
data$Country2[data$Country2 == 'Dominica'] <- 'Saint Kitts and Nevis'
data$Country2[data$Country2 == 'Palau'] <- 'Nauru'
data$Country2[data$Country2 == 'Niue'] <- 'Cook Islands'
data$Country2[data$Country2 == 'Croatia'] <- 'Bosnia and Herzegovina'
data$Country2[data$Country2 == 'Georgia'] <- 'Armenia'
data$Country2[data$Country2 == 'Venezuela (Bolivarian Republic of)'] <- 'Nicaragua'
data$Country2[data$Country2 == 'Peru'] <- 'Brazil'
data$Country2[data$Country2 == 'Equatorial Guinea'] <- 'Zambia'
data$Country2[data$Country2 == 'Austria'] <- 'Germany'
data$Country2[data$Country2 == 'Armenia'] <- 'Saudi Arabia'
data$Country2[data$Country2 == 'Saint Lucia'] <- 'Brazil'
data$Country2[data$Country2 == 'United Republic of Tanzania'] <- 'Burundi'
data$Country2[data$Country2 == 'Iceland'] <- 'Sweden'
data$Country2[data$Country2 == 'Saint Vincent and the Grenadines'] <- 'Nicaragua'
data$Country2[data$Country2 == 'Lesotho'] <- 'Angola'
data$Country2[data$Country2 == 'Cabo Verde'] <- 'Mauritius'
data$Country2[data$Country2 == 'Swaziland'] <- 'Malawi'
data$Country2[data$Country2 == 'Comoros'] <- 'Djibouti'
data$Country2[data$Country2 == 'Mauritania'] <- 'Senegal'
data$Country2[data$Country2 == 'Azerbaijan'] <- 'Iraq'
data$Country2[data$Country2 == 'Antigua and Barbuda'] <- 'Argentina'
data$Country2[data$Country2 == 'The former Yugoslav republic of Macedonia'] <- 'Serbia'
data$Country2[data$Country2 == 'Grenada'] <- 'Brazil'
data$Country2[data$Country2 == 'Barbados'] <- 'Jamaica'
data$Country2[data$Country2 == 'Malawi'] <- 'Chad'
data$Country2[data$Country2 == 'Guinea'] <- 'Burkina Faso'
data$Country2[data$Country2 == 'Slovenia'] <- 'Portugal'
data$Country2[data$Country2 == 'Nicaragua'] <- 'Paraguay'
data$Country2[data$Country2 == 'Uganda'] <- 'South Africa'
data$Country2[data$Country2 == 'Netherlands'] <- 'Germany'
data$Country2[data$Country2 == 'Congo'] <- 'Ethiopia'
data$Country2[data$Country2 == 'Belarus'] <- 'Ukraine'
data$Country2[data$Country2 == 'Ireland'] <- 'Denmark'
data$Country2[data$Country2 == 'Zambia'] <- 'Mali'
data$Country2[data$Country2 == 'Cambodia'] <- 'Myanmar'
data$Country2[data$Country2 == 'Saint Kitts and Nevis'] <- 'Guatemala'
data$Country2[data$Country2 == 'Niger'] <- 'South Africa'
data$Country2[data$Country2 == 'Guinea-Bissau'] <- 'Burundi'
data$Country2[data$Country2 == 'South Sudan'] <- 'Somalia'
data$Country2[data$Country2 == 'Botswana'] <- 'Liberia'
data$Country2[data$Country2 == 'Philippines'] <- 'Indonesia'
data$Country2[data$Country2 == 'Benin'] <- 'Kenya'
data$Country2[data$Country2 == 'Bahrain'] <- 'United Arab Emirates'
data$Country2[data$Country2 == 'Senegal'] <- 'Madagascar'
data$Country2[data$Country2 == 'Seychelles'] <- 'Mauritius'
data$Country2[data$Country2 == 'El Salvador'] <- 'Guatemala'
data$Country2[data$Country2 == 'Switzerland'] <- 'France'
data$Country2[data$Country2 == 'Montenegro'] <- 'Serbia'
data$Country2[data$Country2 == 'Lebanon'] <- 'Turkey'
data$Country2[data$Country2 == 'Honduras'] <- 'Colombia'
data$Country2[data$Country2 == 'Libya'] <- 'Morocco'
data$Country2[data$Country2 == 'Gambia'] <- 'Rwanda'
data$Country2[data$Country2 == 'United Kingdom of Great Britain and Northern Ireland'] <- 'Finland'
data$Country2[data$Country2 == 'Central African Republic'] <- 'Angola'
data$Country2[data$Country2 == 'Burundi'] <- 'Burkina Faso'
data$Country2[data$Country2 == 'Spain'] <- 'Italy'
data$Country2[data$Country2 == 'Argentina'] <- 'Ecuador'
data$Country2[data$Country2 == 'Eritrea'] <- 'Ghana'
data$Country2[data$Country2 == 'Costa Rica'] <- 'Cuba'
data$Country2[data$Country2 == 'Jamaica'] <- 'Bahamas'
data$Country2[data$Country2 == 'Bhutan'] <- 'India'
data$Country2[data$Country2 == 'Paraguay'] <- 'Brazil'
data$Country2[data$Country2 == 'Somalia'] <- 'Mozambique'
data$Country2[data$Country2 == 'Republic of Moldova'] <- 'Ukraine'
data$Country2[data$Country2 == 'Slovakia'] <- 'Romania'
data$Country2[data$Country2 == 'Kuwait'] <- 'Turkey'
data$Country2[data$Country2 == 'Jordan'] <- 'Saudi Arabia'
data$Country2[data$Country2 == 'Belgium'] <- 'Germany'
data$Country2[data$Country2 == 'Tajikistan'] <- 'Kazakhstan'
data$Country2[data$Country2 == 'New Zealand'] <- 'Australia'
data$Country2[data$Country2 == 'Liberia'] <- 'Kenya'
data$Country2[data$Country2 == 'Togo'] <- 'South Africa'
data$Country2[data$Country2 == "Côte d'Ivoire"] <- 'Chad'
data$Country2[data$Country2 == 'Cook Islands'] <- 'Tonga'
data$Country2[data$Country2 == 'Tunisia'] <- 'Algeria'
data$Country2[data$Country2 == 'Panama'] <- 'Uruguay'
data$Country2[data$Country2 == 'Sri Lanka'] <- 'Iran (Islamic Republic of)'
data$Country2[data$Country2 == 'Namibia'] <- 'Rwanda'
data$Country2[data$Country2 == 'Trinidad and Tobago'] <- 'Guatemala'
data$Country2[data$Country2 == 'Djibouti'] <- 'Ghana'
data$Country2[data$Country2 == 'Dominican Republic'] <- 'Colombia'
data$Country2[data$Country2 == 'Democratic Republic of the Congo'] <- 'Mali'
data$Country2[data$Country2 == 'Gabon'] <- 'Madagascar'
data$Country2[data$Country2 == 'Malta'] <- 'Greece'
data$Country2[data$Country2 == 'Malaysia'] <- 'Thailand'
data$Country2[data$Country2 == 'Hungary'] <- 'Romania'
data$Country2[data$Country2 == 'Norway'] <- 'Finland'
data$Country2[data$Country2 == 'Mozambique'] <- 'Cameroon'
data$Country2[data$Country2 == 'Uruguay'] <- 'Mexico'
data$Country2[data$Country2 == 'Oman'] <- 'Turkey'
data$Country2[data$Country2 == 'Latvia'] <- 'Lithuania'
data$Country2[data$Country2 == 'Syrian Arab Republic'] <- 'Iraq'
data$Country2[data$Country2 == 'Chad'] <- 'Nigeria'
data$Country2[data$Country2 == 'Bahamas'] <- 'Ecuador'
data$Country2[data$Country2 == 'Kenya'] <- 'South Africa'
data$Country2[data$Country2 == 'Luxembourg'] <- 'Germany'
data$Country2[data$Country2 == 'Colombia'] <- 'Brazil'
data$Country2[data$Country2 == 'Timor-Leste'] <- 'Myanmar'
data$Country2[data$Country2 == 'Saudi Arabia'] <- 'Turkey'
data$Country2[data$Country2 == 'Pakistan'] <- 'India'
data$Country2[data$Country2 == 'Greece'] <- 'Italy'
data$Country2[data$Country2 == 'Albania'] <- 'Serbia'
data$Country2[data$Country2 == 'Tonga'] <- 'Samoa'
data$Country2[data$Country2 == 'Mali'] <- 'Burkina Faso'
data$Country2[data$Country2 == 'Germany'] <- 'France'
data$Country2[data$Country2 == 'Belize'] <- 'Bolivia (Plurinational State of)'
data$Country2[data$Country2 == 'Solomon Islands'] <- 'Fiji'
data$Country2[data$Country2 == 'Czechia'] <- 'Poland'
data$Country2[data$Country2 == 'Qatar'] <- 'United Arab Emirates'
data$Country2[data$Country2 == 'Egypt'] <- 'Morocco'
data$Country2[data$Country2 == 'Cuba'] <- 'Chile'
data$Country2[data$Country2 == 'Rwanda'] <- 'Ethiopia'
data$Country2[data$Country2 == 'Finland'] <- 'Sweden'
data$Country2[data$Country2 == 'Uzbekistan'] <- 'Kyrgyzstan'
data$Country2[data$Country2 == 'Suriname'] <- 'Guatemala'
data$Country2[data$Country2 == 'Ecuador'] <- 'Brazil'
data$Country2[data$Country2 == 'Zimbabwe'] <- 'Nigeria'
data$Country2[data$Country2 == 'Viet Nam'] <- 'Thailand'
data$Country2[data$Country2 == 'Portugal'] <- 'Italy'
data$Country2[data$Country2 == 'Ghana'] <- 'Madagascar'
data$Country2[data$Country2 == 'Bulgaria'] <- 'Romania'
data$Country2[data$Country2 == 'Serbia'] <- 'Bosnia and Herzegovina'
data$Country2[data$Country2 == 'Burkina Faso'] <- 'South Africa'
data$Country2[data$Country2 == 'Angola'] <- 'Nigeria'
data$Country2[data$Country2 == 'Maldives'] <- 'Iran (Islamic Republic of)'
data$Country2[data$Country2 == 'Turkmenistan'] <- 'Kazakhstan'
data$Country2[data$Country2 == "Lao People's Democratic Republic"] <- 'Myanmar'
data$Country2[data$Country2 == 'Nepal'] <- 'Bangladesh'
data$Country2[data$Country2 == 'Morocco'] <- 'Algeria'
data$Country2[data$Country2 == 'Israel'] <- 'Cyprus'
data$Country2[data$Country2 == 'Estonia'] <- 'Lithuania'
data$Country2[data$Country2 == 'Romania'] <- 'Poland'
data$Country2[data$Country2 == 'United Arab Emirates'] <- 'Turkey'
data$Country2[data$Country2 == 'Japan'] <- 'Republic of Korea'
data$Country2[data$Country2 == 'Ukraine'] <- 'Russian Federation'
data$Country2[data$Country2 == 'Guatemala'] <- 'Brazil'
data$Country2[data$Country2 == 'Sweden'] <- 'Denmark'
data$Country2[data$Country2 == 'South Africa'] <- 'Cameroon'
data$Country2[data$Country2 == 'San Marino'] <- 'Bosnia and Herzegovina'
data$Country2[data$Country2 == 'Monaco'] <- 'France'
data$Country2[data$Country2 == 'Nauru'] <- 'Micronesia (Federated States of)'
data$Country2[data$Country2 == 'Micronesia (Federated States of)'] <- 'Marshall Islands'
data$Country2[data$Country2 == 'Tuvalu'] <- 'Samoa'
data$Country2[data$Country2 == 'Brunei Darussalam'] <- 'Thailand'
data$Country2 <- as.factor(data$Country2)
###########################################################################################################################
# Doing some EDA on Country and Year, to show that they are actually really predictive.
# Getting the AOV table
aov_data <- data.frame(Life.expectancy=data$Life.expectancy,Country=data$Country,Year=as.factor(data$Year))
anova_mod <- aov(Life.expectancy~Country+Year, data=aov_data)
summary(anova_mod)
## Df Sum Sq Mean Sq F value Pr(>F)
## Country 190 195080 1026.7 226.31 <2e-16 ***
## Year 15 6082 405.4 89.37 <2e-16 ***
## Residuals 2144 9727 4.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova_mod <- aov(Life.expectancy~Country, data=aov_data)
summary(anova_mod)
## Df Sum Sq Mean Sq F value Pr(>F)
## Country 190 195080 1026.7 140.2 <2e-16 ***
## Residuals 2159 15808 7.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova_mod <- aov(Life.expectancy~Year, data=aov_data)
summary(anova_mod)
## Df Sum Sq Mean Sq F value Pr(>F)
## Year 15 5732 382.1 4.347 4.19e-08 ***
## Residuals 2334 205156 87.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova_mod <- aov(Life.expectancy~Year+Country, data=aov_data)
summary(anova_mod)
## Df Sum Sq Mean Sq F value Pr(>F)
## Year 15 5732 382.1 84.23 <2e-16 ***
## Country 190 195429 1028.6 226.72 <2e-16 ***
## Residuals 2144 9727 4.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
# Adult Mortality Plot
highMortalityData <- c(data[data$Adult.Mortality > 80,],data[(data$Adult.Mortality > 40) & (data$Schooling > 10),])
medMortalityData <- c(data[(data$Adult.Mortality < 45) & (data$Adult.Mortality >= 8),],data[((data$Adult.Mortality < 80) & (data$Adult.Mortality > 9)) & (data$Schooling <= 10),])
lowMortalityData <- c(data[data$Adult.Mortality < 5,],data[(data$Adult.Mortality < 8) & (data$Schooling < 8),], data[is.na(data$Adult.Mortality),])
plot(highMortalityData$Life.expectancy,highMortalityData$Adult.Mortality,col="blue",ylim=c(0,750),
ylab='Adult Mortality',xlab='Life Expectancy',main='Multiple Adult Mortality Clusters')
points(medMortalityData$Life.expectancy,medMortalityData$Adult.Mortality,col=rgb(1,0,0))
points(lowMortalityData$Life.expectancy,lowMortalityData$Adult.Mortality,col=rgb(0,0,0))
Developing Random Forest Model - determining variables
# Do some justification for the random forest model, that doesn't have variable restrictions
set.seed(24)
rf <- randomForest(Life.expectancy~#Country+Year+ # Adding back Country and Year
log_infant.deaths+ infant.deaths+ under.five.deaths+log_under.five.deaths+ # Infant Deaths
log_Alcohol+Alcohol +
log_percentage.expenditure+ percentage.expenditure+
Hepatitis.B + log_Hepatitis.B +
log_Measles+Measles+
log_Total.expenditure+ Total.expenditure+
log_Population+Population +
Diphtheria+Diphtheria_Squared+Diphtheria_Cubed+
log_HIV.AIDS+HIV.AIDS+ Adult.Mortality+log_Adult.Mortality+
thinness..1.19.years+ log_thinness..1.19.years+thinness.5.9.years+log_thinness.5.9.years+
Income.composition.of.resources+ log_Income.composition.of.resources+Schooling+log_Schooling+
log_GDP+GDP,data=data, ntree=500)
varImpPlot(rf , sort = TRUE , main = "Variable Importance for Random Forest Model" )
# Try adding on Variables
set.seed(1)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS,data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 5.584352
set.seed(2)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS,data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 5.50789
set.seed(3)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
log_Income.composition.of.resources,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 3.833456
set.seed(4)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 3.486014
set.seed(5)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 2.753754
set.seed(6)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 2.274117
set.seed(7)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality+
log_Schooling,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 2.105085
set.seed(8)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality+
Schooling+log_Schooling,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 2.124375
set.seed(9)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality+
log_Schooling+
under.five.deaths,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 2.062917
set.seed(10)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality+
log_Schooling+
under.five.deaths+log_under.five.deaths,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 2.026262
set.seed(11)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality+
log_Schooling+
under.five.deaths+log_under.five.deaths+
thinness.5.9.years,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 1.887341
set.seed(12)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality+
log_Schooling+
under.five.deaths+log_under.five.deaths+
thinness.5.9.years+log_thinness.5.9.years,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 1.897683
set.seed(13)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality+
log_Schooling+
under.five.deaths+log_under.five.deaths+
thinness.5.9.years+
infant.deaths,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 1.979987
set.seed(14)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality+
log_Schooling+
under.five.deaths+log_under.five.deaths+
thinness.5.9.years+
GDP,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 1.895934
set.seed(15)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality+
log_Schooling+
under.five.deaths+log_under.five.deaths+
thinness.5.9.years+
thinness..1.19.years,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 1.927368
set.seed(16)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality+
log_Schooling+
under.five.deaths+log_under.five.deaths+
thinness.5.9.years+
log_Alcohol,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 1.919493
set.seed(17)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality+
log_Schooling+
under.five.deaths+log_under.five.deaths+
thinness.5.9.years+
Total.expenditure,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 1.881592
set.seed(18)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality+
log_Schooling+
under.five.deaths+log_under.five.deaths+
thinness.5.9.years+
Total.expenditure+log_Total.expenditure,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 1.923196
set.seed(19)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality+
log_Schooling+
under.five.deaths+log_under.five.deaths+
thinness.5.9.years+
Total.expenditure+
Diphtheria,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 1.888662
set.seed(20)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality+
log_Schooling+
under.five.deaths+log_under.five.deaths+
thinness.5.9.years+
Total.expenditure+
log_percentage.expenditure,
data=train, ntree=500)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 1.913765
set.seed(21)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality+
log_Schooling+
under.five.deaths+log_under.five.deaths+
thinness.5.9.years+
Total.expenditure,
data=train, ntree=1000)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 1.911426
set.seed(22)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality+
log_Schooling+
under.five.deaths+log_under.five.deaths+
thinness.5.9.years+
Total.expenditure,
data=train, ntree=500,mtry=5)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 1.848224
set.seed(25)
prop_test <- .2
num_tests <- 20
rmse <- 0
for (jj in 1:num_tests){
print(jj)
indices = sample(seq(1:nrow(data)),round(prop_test*nrow(data)))
test <- data[indices,]
train <- data[-indices,]
rf <-randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+
Income.composition.of.resources+log_Income.composition.of.resources+
Adult.Mortality+log_Adult.Mortality+
log_Schooling+
under.five.deaths+log_under.five.deaths+
thinness.5.9.years+
Total.expenditure,
data=train, ntree=500,mtry=6)
pred <- predict(rf,newdata=test)
rmse <- rmse + sqrt(mean((pred - test$Life.expectancy)^2))
}
rmse <- rmse/num_tests
rmse # 1.960962
tests <- c('Add HIV.AIDS','Add log_HIV.AIDS','Add log_Income.composition.of.resources',
'Add Income.composition.of.resources', 'Add Adult.Mortality', 'Add log_Adult.Mortality', 'Add log_Schooling',
'Add Schooling', 'Add under.five.deaths', 'Add log_under.five.deaths', 'Add thinness.5.9.years',
'Add log_thinness.5.9.years', 'Add infant.deaths', 'Add GDP', 'Add thinness..1.19.years', 'Add log_Alcohol',
'Add Total.expenditure', 'Add log_Total.expenditure', 'Add Diphtheria', 'Add log_percentage.expenditure',
'ntree = 1000', 'mtry = 5', 'mtry = 6')
rmses <- c(5.584352, 5.50789, 3.833456, 3.486014, 2.753754, 2.274117, 2.105085, 2.124375, 2.062917, 2.026262, 1.887341,
1.897683, 1.979987, 1.895934, 1.927368, 1.919493, 1.881592, 1.923196, 1.888662, 1.913765, 1.911426, 1.848224,
1.960962)
rf_tests <- data.frame(tests = as.factor(tests),RMSEs = rmses,num = 1:length(tests))
rf_tests <- rf_tests[order(rf_tests$num),]
ggplot(rf_tests,aes(x=reorder(tests,num), y=RMSEs)) +
geom_point(size=4) + xlab('RMSEs') + ylab('Tests') + labs(title='RMSEs for Random Forests') +
theme(axis.text.x = element_text(angle = 60, hjust = 1)) +
geom_point(aes(17,rf_tests[17,2],color="red",size=8)) +
geom_point(aes(22,rf_tests[22,2],color="red",size=8)) +
guides(colour = "none",size="none")
# Plotting error terms
pred <- predict(rf,newdata=data)
err <- pred - data$Life.expectancy
plot(err,xlab='',ylab='Residuals',main='Residual Plot for Random Forest Model')
hist(err,xlab='Residuals',main='Histogram of Residuals for Random Forest Model', breaks=100)
qqnorm(err, pch = 1, frame = FALSE)
qqline(err, col = "steelblue", lwd = 2)
Testing Models with Training and Test Set
# Testing the models on the training and test set
# Creating Models on the training set
data_validation <- test
mod_country_lin <- lm(Life.expectancy~Country2, data = data)
mod_country_year_lin <- lm(Life.expectancy~Country2 + Year, data = data)
mod_complex_lin_9 <- lm(Life.expectancy~log_infant.deaths + log_percentage.expenditure + log_Measles+ log_Total.expenditure+ log_Population +poly(Diphtheria,3)+ log_HIV.AIDS+ Income.composition.of.resources+ log_GDP, data = data)
mod_complex_lin_12 <- lm(Life.expectancy~log_infant.deaths + log_Alcohol + log_percentage.expenditure + Hepatitis.B + log_Measles+ log_Total.expenditure+ log_Population +poly(Diphtheria,3)+ log_HIV.AIDS+ thinness..1.19.years+ Income.composition.of.resources+ log_GDP, data = data)
mod_complex_lin_9_country_year <- lm(Life.expectancy~Country2+Year+log_infant.deaths + log_percentage.expenditure + log_Measles+ log_Total.expenditure+ log_Population +poly(Diphtheria,3)+ log_HIV.AIDS+ Income.composition.of.resources+ log_GDP, data = data)
mod_complex_lin_12_country_year <- lm(Life.expectancy~Country2+Year+log_infant.deaths + log_Alcohol + log_percentage.expenditure + Hepatitis.B + log_Measles+ log_Total.expenditure+ log_Population +poly(Diphtheria,3)+ log_HIV.AIDS+ thinness..1.19.years+ Income.composition.of.resources+ log_GDP, data = data)
mod_complex_lin_2nd_ver <- lm(Life.expectancy~log_infant.deaths+log_percentage.expenditure+log_Measles+region+poly(Diphtheria,2)+log_HIV.AIDS+log_Total.expenditure+Income.composition.of.resources+log_GDP*log_Population, data = data)
mod_complex_lin_2nd_ver_country_year <- lm(Life.expectancy~Country2+Year+log_infant.deaths+log_percentage.expenditure+log_Measles+poly(Diphtheria,2)+log_HIV.AIDS+log_Total.expenditure+Income.composition.of.resources+log_GDP*log_Population, data = data)
mod_simple_lin <- lm(log_Life.expectancy~log_Alcohol+log_Measles+log_Population+log_HIV.AIDS+log_BMI+log_Adult.Mortality+log_Polio+log_Diphtheria+log_Income.composition.of.resources+log_Schooling+log_GDP,data=data)
mod_simple_lin_country_year <- lm(log_Life.expectancy~Country2+Year+log_Alcohol+log_Measles+log_Population+log_HIV.AIDS+log_BMI+log_Adult.Mortality+log_Polio+log_Diphtheria+log_Income.composition.of.resources+log_Schooling+log_GDP,data=data)
mod_simple_lin_no_log <- lm(Life.expectancy~log_Alcohol+log_Measles+log_Population+log_HIV.AIDS+log_BMI+log_Adult.Mortality+log_Polio+log_Diphtheria+log_Income.composition.of.resources+log_Schooling+log_GDP,data=data)
mod_simple_lin_no_log_country_year <- lm(Life.expectancy~Country2+Year+log_Alcohol+log_Measles+log_Population+log_HIV.AIDS+log_BMI+log_Adult.Mortality+log_Polio+log_Diphtheria+log_Income.composition.of.resources+log_Schooling+log_GDP,data=data)
mod_complex_lin_3rd_ver <- lm(Life.expectancy~log_infant.deaths+log_percentage.expenditure+region+poly(Diphtheria,2)+log_HIV.AIDS+Income.composition.of.resources+log_GDP+log_Population, data = data)
set.seed(23) # Random Forests generate differently each time
mod_rf <- randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+Income.composition.of.resources+log_Income.composition.of.resources+Adult.Mortality+log_Adult.Mortality+log_Schooling+under.five.deaths+log_under.five.deaths+thinness.5.9.years+Total.expenditure,data=data, ntree=500,mtry=5)
mod_rf_country_year <- randomForest(Life.expectancy~Country2 + Year,data=data, ntree=500)
mod_rf_full <- randomForest(Life.expectancy~Country2 + Year+HIV.AIDS+log_HIV.AIDS+Income.composition.of.resources+log_Income.composition.of.resources+Adult.Mortality+log_Adult.Mortality+log_Schooling+under.five.deaths+log_under.five.deaths+thinness.5.9.years+Total.expenditure,data=data, ntree=500,mtry=5)
# See how results compare on validation data
sqrt(mean((predict(mod_country_lin,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 2.856061
sqrt(mean((predict(mod_country_year_lin,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 2.248768
sqrt(mean((predict(mod_complex_lin_9,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 3.138138
sqrt(mean((predict(mod_complex_lin_12,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 3.129868
sqrt(mean((predict(mod_complex_lin_9_country_year,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 2.051057
sqrt(mean((predict(mod_complex_lin_12_country_year,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 2.066286
sqrt(mean((predict(mod_complex_lin_2nd_ver,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 3.094154
sqrt(mean((predict(mod_complex_lin_2nd_ver_country_year,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 2.069423
sqrt(mean((exp(predict(mod_simple_lin,newdata=data_validation))-1 - data_validation$Life.expectancy)^2)) # 3.891715
sqrt(mean((exp(predict(mod_simple_lin_country_year,newdata=data_validation))-1 - data_validation$Life.expectancy)^2)) # 2.222878
sqrt(mean((predict(mod_simple_lin_no_log,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 3.908645
sqrt(mean((predict(mod_simple_lin_no_log_country_year,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 2.154675
sqrt(mean((predict(mod_complex_lin_3rd_ver,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 3.108002
sqrt(mean((predict(mod_rf,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 1.684476
sqrt(mean((predict(mod_rf_country_year,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 2.410963
sqrt(mean((predict(mod_rf_full,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 1.395496
Testing Models by Year Split
# I wanted to see what happened if we trained our models (same variables) on 2000-2012 data, and tested on 2013-2015 data
# Get Data
data1 <-read.csv("C:/Users/aabro/OneDrive/Desktop/SMU Program/Classes/Stats 2/Midterm Project/train_2350.csv",header=T,stringsAsFactors = T)
data2 <- read.csv("C:/Users/aabro/OneDrive/Desktop/SMU Program/Classes/Stats 2/Midterm Project/test_588.csv",header=T,stringsAsFactors = T)
data_all_years <- rbind(data1,data2)
data <- data_all_years[data_all_years$Year < 2013,]
data_original <- data
data$Population <- data$Population.x
data$Hepatitis.B <- data$Hepatitis.B.x
data[,c('X','sub.region','region','Life_Expectancy','Hepatitis.B.y','Population.y','Hepatitis.B.x','Population.x')]<-c()
# Set datatypes of columns
data$YearFactor <- as.factor(data$Year)
# Log transform variables
singleVars <- colnames(data)
logVars <- c()
nvar <- length(singleVars)
for (ii in 1:nvar){
var <- singleVars[ii]
if ((class(data[,var])=="integer")|(class(data[,var])=="numeric")){
logVar <- paste('log_',var,sep='')
data[,logVar] <- log(data[,var]+1)
logVars <- c(logVars,logVar)
}
}
# Square variables
singleVars <- singleVars[singleVars != "Life.expectancy"]
nvar <- length(singleVars)
squareVars <- c()
numVars <- c()
for (ii in 1:nvar){
var <- singleVars[ii]
if ((class(data[,var])=="integer")|(class(data[,var])=="numeric")){
squareVar <- paste(var,'_Squared',sep='')
data[,squareVar] <- (data[,var])^2
squareVars <- c(squareVars,squareVar)
numVars <- c(numVars,var)
}
}
# Cube variables
nvar <- length(singleVars)
cubeVars <- c()
for (ii in 1:nvar){
var <- singleVars[ii]
if ((class(data[,var])=="integer")|(class(data[,var])=="numeric")){
cubeVar <- paste(var,'_Cubed',sep='')
data[,cubeVar] <- (data[,var])^3
cubeVars <- c(cubeVars,cubeVar)
}
}
# One hot encoding of factor variables
data <- one_hot(as.data.table(data))
data <- as.data.frame(data)
nvar <- length(names(data))
cols <- names(data)
for (ii in 1:nvar){
if(startsWith(cols[ii],"Country") | startsWith(cols[ii],"sub.region")){
data[,cols[ii]]<-c()
}
}
# Create interaction terms
cols <- names(data)
cols <- cols[cols != "Life.expectancy"]
cols <- cols[cols != "log_Life.expectancy"]
nvar <- length(cols)
for (ii in 1:nvar){
for(jj in 1:nvar){
if (ii<jj){
var1 <- cols[ii]
var2 <- cols[jj]
new_col <- data[,var1]*data[,var2]
if(sum(new_col,na.rm=TRUE)!=0){
new_var <- paste(var1,var2,sep="X")
data[,new_var]<-new_col
}
}
}
}
data$Country <- data_original$Country
data$Status <- data_original$Status
data$YearFactor <- data_original$YearFactor
data$sub.region <- data_original$sub.region
data$region <- data_original$region
data$Country2 <- data$Country
data$Country2 <- as.character(data$Country2)
data$Country2[data$Country2 == 'Dominica'] <- 'Saint Kitts and Nevis'
data$Country2[data$Country2 == 'Palau'] <- 'Nauru'
data$Country2[data$Country2 == 'Niue'] <- 'Cook Islands'
data$Country2[data$Country2 == 'Croatia'] <- 'Bosnia and Herzegovina'
data$Country2[data$Country2 == 'Georgia'] <- 'Armenia'
data$Country2[data$Country2 == 'Venezuela (Bolivarian Republic of)'] <- 'Nicaragua'
data$Country2[data$Country2 == 'Peru'] <- 'Brazil'
data$Country2[data$Country2 == 'Equatorial Guinea'] <- 'Zambia'
data$Country2[data$Country2 == 'Austria'] <- 'Germany'
data$Country2[data$Country2 == 'Armenia'] <- 'Saudi Arabia'
data$Country2[data$Country2 == 'Saint Lucia'] <- 'Brazil'
data$Country2[data$Country2 == 'United Republic of Tanzania'] <- 'Burundi'
data$Country2[data$Country2 == 'Iceland'] <- 'Sweden'
data$Country2[data$Country2 == 'Saint Vincent and the Grenadines'] <- 'Nicaragua'
data$Country2[data$Country2 == 'Lesotho'] <- 'Angola'
data$Country2[data$Country2 == 'Cabo Verde'] <- 'Mauritius'
data$Country2[data$Country2 == 'Swaziland'] <- 'Malawi'
data$Country2[data$Country2 == 'Comoros'] <- 'Djibouti'
data$Country2[data$Country2 == 'Mauritania'] <- 'Senegal'
data$Country2[data$Country2 == 'Azerbaijan'] <- 'Iraq'
data$Country2[data$Country2 == 'Antigua and Barbuda'] <- 'Argentina'
data$Country2[data$Country2 == 'The former Yugoslav republic of Macedonia'] <- 'Serbia'
data$Country2[data$Country2 == 'Grenada'] <- 'Brazil'
data$Country2[data$Country2 == 'Barbados'] <- 'Jamaica'
data$Country2[data$Country2 == 'Malawi'] <- 'Chad'
data$Country2[data$Country2 == 'Guinea'] <- 'Burkina Faso'
data$Country2[data$Country2 == 'Slovenia'] <- 'Portugal'
data$Country2[data$Country2 == 'Nicaragua'] <- 'Paraguay'
data$Country2[data$Country2 == 'Uganda'] <- 'South Africa'
data$Country2[data$Country2 == 'Netherlands'] <- 'Germany'
data$Country2[data$Country2 == 'Congo'] <- 'Ethiopia'
data$Country2[data$Country2 == 'Belarus'] <- 'Ukraine'
data$Country2[data$Country2 == 'Ireland'] <- 'Denmark'
data$Country2[data$Country2 == 'Zambia'] <- 'Mali'
data$Country2[data$Country2 == 'Cambodia'] <- 'Myanmar'
data$Country2[data$Country2 == 'Saint Kitts and Nevis'] <- 'Guatemala'
data$Country2[data$Country2 == 'Niger'] <- 'South Africa'
data$Country2[data$Country2 == 'Guinea-Bissau'] <- 'Burundi'
data$Country2[data$Country2 == 'South Sudan'] <- 'Somalia'
data$Country2[data$Country2 == 'Botswana'] <- 'Liberia'
data$Country2[data$Country2 == 'Philippines'] <- 'Indonesia'
data$Country2[data$Country2 == 'Benin'] <- 'Kenya'
data$Country2[data$Country2 == 'Bahrain'] <- 'United Arab Emirates'
data$Country2[data$Country2 == 'Senegal'] <- 'Madagascar'
data$Country2[data$Country2 == 'Seychelles'] <- 'Mauritius'
data$Country2[data$Country2 == 'El Salvador'] <- 'Guatemala'
data$Country2[data$Country2 == 'Switzerland'] <- 'France'
data$Country2[data$Country2 == 'Montenegro'] <- 'Serbia'
data$Country2[data$Country2 == 'Lebanon'] <- 'Turkey'
data$Country2[data$Country2 == 'Honduras'] <- 'Colombia'
data$Country2[data$Country2 == 'Libya'] <- 'Morocco'
data$Country2[data$Country2 == 'Gambia'] <- 'Rwanda'
data$Country2[data$Country2 == 'United Kingdom of Great Britain and Northern Ireland'] <- 'Finland'
data$Country2[data$Country2 == 'Central African Republic'] <- 'Angola'
data$Country2[data$Country2 == 'Burundi'] <- 'Burkina Faso'
data$Country2[data$Country2 == 'Spain'] <- 'Italy'
data$Country2[data$Country2 == 'Argentina'] <- 'Ecuador'
data$Country2[data$Country2 == 'Eritrea'] <- 'Ghana'
data$Country2[data$Country2 == 'Costa Rica'] <- 'Cuba'
data$Country2[data$Country2 == 'Jamaica'] <- 'Bahamas'
data$Country2[data$Country2 == 'Bhutan'] <- 'India'
data$Country2[data$Country2 == 'Paraguay'] <- 'Brazil'
data$Country2[data$Country2 == 'Somalia'] <- 'Mozambique'
data$Country2[data$Country2 == 'Republic of Moldova'] <- 'Ukraine'
data$Country2[data$Country2 == 'Slovakia'] <- 'Romania'
data$Country2[data$Country2 == 'Kuwait'] <- 'Turkey'
data$Country2[data$Country2 == 'Jordan'] <- 'Saudi Arabia'
data$Country2[data$Country2 == 'Belgium'] <- 'Germany'
data$Country2[data$Country2 == 'Tajikistan'] <- 'Kazakhstan'
data$Country2[data$Country2 == 'New Zealand'] <- 'Australia'
data$Country2[data$Country2 == 'Liberia'] <- 'Kenya'
data$Country2[data$Country2 == 'Togo'] <- 'South Africa'
data$Country2[data$Country2 == "Côte d'Ivoire"] <- 'Chad'
data$Country2[data$Country2 == 'Cook Islands'] <- 'Tonga'
data$Country2[data$Country2 == 'Tunisia'] <- 'Algeria'
data$Country2[data$Country2 == 'Panama'] <- 'Uruguay'
data$Country2[data$Country2 == 'Sri Lanka'] <- 'Iran (Islamic Republic of)'
data$Country2[data$Country2 == 'Namibia'] <- 'Rwanda'
data$Country2[data$Country2 == 'Trinidad and Tobago'] <- 'Guatemala'
data$Country2[data$Country2 == 'Djibouti'] <- 'Ghana'
data$Country2[data$Country2 == 'Dominican Republic'] <- 'Colombia'
data$Country2[data$Country2 == 'Democratic Republic of the Congo'] <- 'Mali'
data$Country2[data$Country2 == 'Gabon'] <- 'Madagascar'
data$Country2[data$Country2 == 'Malta'] <- 'Greece'
data$Country2[data$Country2 == 'Malaysia'] <- 'Thailand'
data$Country2[data$Country2 == 'Hungary'] <- 'Romania'
data$Country2[data$Country2 == 'Norway'] <- 'Finland'
data$Country2[data$Country2 == 'Mozambique'] <- 'Cameroon'
data$Country2[data$Country2 == 'Uruguay'] <- 'Mexico'
data$Country2[data$Country2 == 'Oman'] <- 'Turkey'
data$Country2[data$Country2 == 'Latvia'] <- 'Lithuania'
data$Country2[data$Country2 == 'Syrian Arab Republic'] <- 'Iraq'
data$Country2[data$Country2 == 'Chad'] <- 'Nigeria'
data$Country2[data$Country2 == 'Bahamas'] <- 'Ecuador'
data$Country2[data$Country2 == 'Kenya'] <- 'South Africa'
data$Country2[data$Country2 == 'Luxembourg'] <- 'Germany'
data$Country2[data$Country2 == 'Colombia'] <- 'Brazil'
data$Country2[data$Country2 == 'Timor-Leste'] <- 'Myanmar'
data$Country2[data$Country2 == 'Saudi Arabia'] <- 'Turkey'
data$Country2[data$Country2 == 'Pakistan'] <- 'India'
data$Country2[data$Country2 == 'Greece'] <- 'Italy'
data$Country2[data$Country2 == 'Albania'] <- 'Serbia'
data$Country2[data$Country2 == 'Tonga'] <- 'Samoa'
data$Country2[data$Country2 == 'Mali'] <- 'Burkina Faso'
data$Country2[data$Country2 == 'Germany'] <- 'France'
data$Country2[data$Country2 == 'Belize'] <- 'Bolivia (Plurinational State of)'
data$Country2[data$Country2 == 'Solomon Islands'] <- 'Fiji'
data$Country2[data$Country2 == 'Czechia'] <- 'Poland'
data$Country2[data$Country2 == 'Qatar'] <- 'United Arab Emirates'
data$Country2[data$Country2 == 'Egypt'] <- 'Morocco'
data$Country2[data$Country2 == 'Cuba'] <- 'Chile'
data$Country2[data$Country2 == 'Rwanda'] <- 'Ethiopia'
data$Country2[data$Country2 == 'Finland'] <- 'Sweden'
data$Country2[data$Country2 == 'Uzbekistan'] <- 'Kyrgyzstan'
data$Country2[data$Country2 == 'Suriname'] <- 'Guatemala'
data$Country2[data$Country2 == 'Ecuador'] <- 'Brazil'
data$Country2[data$Country2 == 'Zimbabwe'] <- 'Nigeria'
data$Country2[data$Country2 == 'Viet Nam'] <- 'Thailand'
data$Country2[data$Country2 == 'Portugal'] <- 'Italy'
data$Country2[data$Country2 == 'Ghana'] <- 'Madagascar'
data$Country2[data$Country2 == 'Bulgaria'] <- 'Romania'
data$Country2[data$Country2 == 'Serbia'] <- 'Bosnia and Herzegovina'
data$Country2[data$Country2 == 'Burkina Faso'] <- 'South Africa'
data$Country2[data$Country2 == 'Angola'] <- 'Nigeria'
data$Country2[data$Country2 == 'Maldives'] <- 'Iran (Islamic Republic of)'
data$Country2[data$Country2 == 'Turkmenistan'] <- 'Kazakhstan'
data$Country2[data$Country2 == "Lao People's Democratic Republic"] <- 'Myanmar'
data$Country2[data$Country2 == 'Nepal'] <- 'Bangladesh'
data$Country2[data$Country2 == 'Morocco'] <- 'Algeria'
data$Country2[data$Country2 == 'Israel'] <- 'Cyprus'
data$Country2[data$Country2 == 'Estonia'] <- 'Lithuania'
data$Country2[data$Country2 == 'Romania'] <- 'Poland'
data$Country2[data$Country2 == 'United Arab Emirates'] <- 'Turkey'
data$Country2[data$Country2 == 'Japan'] <- 'Republic of Korea'
data$Country2[data$Country2 == 'Ukraine'] <- 'Russian Federation'
data$Country2[data$Country2 == 'Guatemala'] <- 'Brazil'
data$Country2[data$Country2 == 'Sweden'] <- 'Denmark'
data$Country2[data$Country2 == 'South Africa'] <- 'Cameroon'
data$Country2[data$Country2 == 'San Marino'] <- 'Bosnia and Herzegovina'
data$Country2[data$Country2 == 'Monaco'] <- 'France'
data$Country2[data$Country2 == 'Nauru'] <- 'Micronesia (Federated States of)'
data$Country2[data$Country2 == 'Micronesia (Federated States of)'] <- 'Marshall Islands'
data$Country2[data$Country2 == 'Tuvalu'] <- 'Samoa'
data$Country2[data$Country2 == 'Brunei Darussalam'] <- 'Thailand'
data$Country2 <- as.factor(data$Country2)
data_validation <-data_all_years[data_all_years$Year > 2012,]
data_validation$Population <- data_validation$Population.x
data_validation$Hepatitis.B <- data_validation$Hepatitis.B.x
data_validation[,c('X','Life_Expectancy','Hepatitis.B.y','Population.y','Hepatitis.B.x','Population.x')]<-c()
singleVars <- colnames(data_validation)
logVars <- c()
nvar <- length(singleVars)
for (ii in 1:nvar){
var <- singleVars[ii]
if ((class(data_validation[,var])=="integer")|(class(data_validation[,var])=="numeric")){
logVar <- paste('log_',var,sep='')
data_validation[,logVar] <- log(data_validation[,var]+1)
logVars <- c(logVars,logVar)
}
}
data_validation$Country2 <- data_validation$Country
data_validation$Country2 <- as.character(data_validation$Country2)
data_validation$Country2[data_validation$Country2 == 'Dominica'] <- 'Saint Kitts and Nevis'
data_validation$Country2[data_validation$Country2 == 'Palau'] <- 'Nauru'
data_validation$Country2[data_validation$Country2 == 'Niue'] <- 'Cook Islands'
data_validation$Country2[data_validation$Country2 == 'Croatia'] <- 'Bosnia and Herzegovina'
data_validation$Country2[data_validation$Country2 == 'Georgia'] <- 'Armenia'
data_validation$Country2[data_validation$Country2 == 'Venezuela (Bolivarian Republic of)'] <- 'Nicaragua'
data_validation$Country2[data_validation$Country2 == 'Peru'] <- 'Brazil'
data_validation$Country2[data_validation$Country2 == 'Equatorial Guinea'] <- 'Zambia'
data_validation$Country2[data_validation$Country2 == 'Austria'] <- 'Germany'
data_validation$Country2[data_validation$Country2 == 'Armenia'] <- 'Saudi Arabia'
data_validation$Country2[data_validation$Country2 == 'Saint Lucia'] <- 'Brazil'
data_validation$Country2[data_validation$Country2 == 'United Republic of Tanzania'] <- 'Burundi'
data_validation$Country2[data_validation$Country2 == 'Iceland'] <- 'Sweden'
data_validation$Country2[data_validation$Country2 == 'Saint Vincent and the Grenadines'] <- 'Nicaragua'
data_validation$Country2[data_validation$Country2 == 'Lesotho'] <- 'Angola'
data_validation$Country2[data_validation$Country2 == 'Cabo Verde'] <- 'Mauritius'
data_validation$Country2[data_validation$Country2 == 'Swaziland'] <- 'Malawi'
data_validation$Country2[data_validation$Country2 == 'Comoros'] <- 'Djibouti'
data_validation$Country2[data_validation$Country2 == 'Mauritania'] <- 'Senegal'
data_validation$Country2[data_validation$Country2 == 'Azerbaijan'] <- 'Iraq'
data_validation$Country2[data_validation$Country2 == 'Antigua and Barbuda'] <- 'Argentina'
data_validation$Country2[data_validation$Country2 == 'The former Yugoslav republic of Macedonia'] <- 'Serbia'
data_validation$Country2[data_validation$Country2 == 'Grenada'] <- 'Brazil'
data_validation$Country2[data_validation$Country2 == 'Barbados'] <- 'Jamaica'
data_validation$Country2[data_validation$Country2 == 'Malawi'] <- 'Chad'
data_validation$Country2[data_validation$Country2 == 'Guinea'] <- 'Burkina Faso'
data_validation$Country2[data_validation$Country2 == 'Slovenia'] <- 'Portugal'
data_validation$Country2[data_validation$Country2 == 'Nicaragua'] <- 'Paraguay'
data_validation$Country2[data_validation$Country2 == 'Uganda'] <- 'South Africa'
data_validation$Country2[data_validation$Country2 == 'Netherlands'] <- 'Germany'
data_validation$Country2[data_validation$Country2 == 'Congo'] <- 'Ethiopia'
data_validation$Country2[data_validation$Country2 == 'Belarus'] <- 'Ukraine'
data_validation$Country2[data_validation$Country2 == 'Ireland'] <- 'Denmark'
data_validation$Country2[data_validation$Country2 == 'Zambia'] <- 'Mali'
data_validation$Country2[data_validation$Country2 == 'Cambodia'] <- 'Myanmar'
data_validation$Country2[data_validation$Country2 == 'Saint Kitts and Nevis'] <- 'Guatemala'
data_validation$Country2[data_validation$Country2 == 'Niger'] <- 'South Africa'
data_validation$Country2[data_validation$Country2 == 'Guinea-Bissau'] <- 'Burundi'
data_validation$Country2[data_validation$Country2 == 'South Sudan'] <- 'Somalia'
data_validation$Country2[data_validation$Country2 == 'Botswana'] <- 'Liberia'
data_validation$Country2[data_validation$Country2 == 'Philippines'] <- 'Indonesia'
data_validation$Country2[data_validation$Country2 == 'Benin'] <- 'Kenya'
data_validation$Country2[data_validation$Country2 == 'Bahrain'] <- 'United Arab Emirates'
data_validation$Country2[data_validation$Country2 == 'Senegal'] <- 'Madagascar'
data_validation$Country2[data_validation$Country2 == 'Seychelles'] <- 'Mauritius'
data_validation$Country2[data_validation$Country2 == 'El Salvador'] <- 'Guatemala'
data_validation$Country2[data_validation$Country2 == 'Switzerland'] <- 'France'
data_validation$Country2[data_validation$Country2 == 'Montenegro'] <- 'Serbia'
data_validation$Country2[data_validation$Country2 == 'Lebanon'] <- 'Turkey'
data_validation$Country2[data_validation$Country2 == 'Honduras'] <- 'Colombia'
data_validation$Country2[data_validation$Country2 == 'Libya'] <- 'Morocco'
data_validation$Country2[data_validation$Country2 == 'Gambia'] <- 'Rwanda'
data_validation$Country2[data_validation$Country2 == 'United Kingdom of Great Britain and Northern Ireland'] <- 'Finland'
data_validation$Country2[data_validation$Country2 == 'Central African Republic'] <- 'Angola'
data_validation$Country2[data_validation$Country2 == 'Burundi'] <- 'Burkina Faso'
data_validation$Country2[data_validation$Country2 == 'Spain'] <- 'Italy'
data_validation$Country2[data_validation$Country2 == 'Argentina'] <- 'Ecuador'
data_validation$Country2[data_validation$Country2 == 'Eritrea'] <- 'Ghana'
data_validation$Country2[data_validation$Country2 == 'Costa Rica'] <- 'Cuba'
data_validation$Country2[data_validation$Country2 == 'Jamaica'] <- 'Bahamas'
data_validation$Country2[data_validation$Country2 == 'Bhutan'] <- 'India'
data_validation$Country2[data_validation$Country2 == 'Paraguay'] <- 'Brazil'
data_validation$Country2[data_validation$Country2 == 'Somalia'] <- 'Mozambique'
data_validation$Country2[data_validation$Country2 == 'Republic of Moldova'] <- 'Ukraine'
data_validation$Country2[data_validation$Country2 == 'Slovakia'] <- 'Romania'
data_validation$Country2[data_validation$Country2 == 'Kuwait'] <- 'Turkey'
data_validation$Country2[data_validation$Country2 == 'Jordan'] <- 'Saudi Arabia'
data_validation$Country2[data_validation$Country2 == 'Belgium'] <- 'Germany'
data_validation$Country2[data_validation$Country2 == 'Tajikistan'] <- 'Kazakhstan'
data_validation$Country2[data_validation$Country2 == 'New Zealand'] <- 'Australia'
data_validation$Country2[data_validation$Country2 == 'Liberia'] <- 'Kenya'
data_validation$Country2[data_validation$Country2 == 'Togo'] <- 'South Africa'
data_validation$Country2[data_validation$Country2 == "Côte d'Ivoire"] <- 'Chad'
data_validation$Country2[data_validation$Country2 == 'Cook Islands'] <- 'Tonga'
data_validation$Country2[data_validation$Country2 == 'Tunisia'] <- 'Algeria'
data_validation$Country2[data_validation$Country2 == 'Panama'] <- 'Uruguay'
data_validation$Country2[data_validation$Country2 == 'Sri Lanka'] <- 'Iran (Islamic Republic of)'
data_validation$Country2[data_validation$Country2 == 'Namibia'] <- 'Rwanda'
data_validation$Country2[data_validation$Country2 == 'Trinidad and Tobago'] <- 'Guatemala'
data_validation$Country2[data_validation$Country2 == 'Djibouti'] <- 'Ghana'
data_validation$Country2[data_validation$Country2 == 'Dominican Republic'] <- 'Colombia'
data_validation$Country2[data_validation$Country2 == 'Democratic Republic of the Congo'] <- 'Mali'
data_validation$Country2[data_validation$Country2 == 'Gabon'] <- 'Madagascar'
data_validation$Country2[data_validation$Country2 == 'Malta'] <- 'Greece'
data_validation$Country2[data_validation$Country2 == 'Malaysia'] <- 'Thailand'
data_validation$Country2[data_validation$Country2 == 'Hungary'] <- 'Romania'
data_validation$Country2[data_validation$Country2 == 'Norway'] <- 'Finland'
data_validation$Country2[data_validation$Country2 == 'Mozambique'] <- 'Cameroon'
data_validation$Country2[data_validation$Country2 == 'Uruguay'] <- 'Mexico'
data_validation$Country2[data_validation$Country2 == 'Oman'] <- 'Turkey'
data_validation$Country2[data_validation$Country2 == 'Latvia'] <- 'Lithuania'
data_validation$Country2[data_validation$Country2 == 'Syrian Arab Republic'] <- 'Iraq'
data_validation$Country2[data_validation$Country2 == 'Chad'] <- 'Nigeria'
data_validation$Country2[data_validation$Country2 == 'Bahamas'] <- 'Ecuador'
data_validation$Country2[data_validation$Country2 == 'Kenya'] <- 'South Africa'
data_validation$Country2[data_validation$Country2 == 'Luxembourg'] <- 'Germany'
data_validation$Country2[data_validation$Country2 == 'Colombia'] <- 'Brazil'
data_validation$Country2[data_validation$Country2 == 'Timor-Leste'] <- 'Myanmar'
data_validation$Country2[data_validation$Country2 == 'Saudi Arabia'] <- 'Turkey'
data_validation$Country2[data_validation$Country2 == 'Pakistan'] <- 'India'
data_validation$Country2[data_validation$Country2 == 'Greece'] <- 'Italy'
data_validation$Country2[data_validation$Country2 == 'Albania'] <- 'Serbia'
data_validation$Country2[data_validation$Country2 == 'Tonga'] <- 'Samoa'
data_validation$Country2[data_validation$Country2 == 'Mali'] <- 'Burkina Faso'
data_validation$Country2[data_validation$Country2 == 'Germany'] <- 'France'
data_validation$Country2[data_validation$Country2 == 'Belize'] <- 'Bolivia (Plurinational State of)'
data_validation$Country2[data_validation$Country2 == 'Solomon Islands'] <- 'Fiji'
data_validation$Country2[data_validation$Country2 == 'Czechia'] <- 'Poland'
data_validation$Country2[data_validation$Country2 == 'Qatar'] <- 'United Arab Emirates'
data_validation$Country2[data_validation$Country2 == 'Egypt'] <- 'Morocco'
data_validation$Country2[data_validation$Country2 == 'Cuba'] <- 'Chile'
data_validation$Country2[data_validation$Country2 == 'Rwanda'] <- 'Ethiopia'
data_validation$Country2[data_validation$Country2 == 'Finland'] <- 'Sweden'
data_validation$Country2[data_validation$Country2 == 'Uzbekistan'] <- 'Kyrgyzstan'
data_validation$Country2[data_validation$Country2 == 'Suriname'] <- 'Guatemala'
data_validation$Country2[data_validation$Country2 == 'Ecuador'] <- 'Brazil'
data_validation$Country2[data_validation$Country2 == 'Zimbabwe'] <- 'Nigeria'
data_validation$Country2[data_validation$Country2 == 'Viet Nam'] <- 'Thailand'
data_validation$Country2[data_validation$Country2 == 'Portugal'] <- 'Italy'
data_validation$Country2[data_validation$Country2 == 'Ghana'] <- 'Madagascar'
data_validation$Country2[data_validation$Country2 == 'Bulgaria'] <- 'Romania'
data_validation$Country2[data_validation$Country2 == 'Serbia'] <- 'Bosnia and Herzegovina'
data_validation$Country2[data_validation$Country2 == 'Burkina Faso'] <- 'South Africa'
data_validation$Country2[data_validation$Country2 == 'Angola'] <- 'Nigeria'
data_validation$Country2[data_validation$Country2 == 'Maldives'] <- 'Iran (Islamic Republic of)'
data_validation$Country2[data_validation$Country2 == 'Turkmenistan'] <- 'Kazakhstan'
data_validation$Country2[data_validation$Country2 == "Lao People's Democratic Republic"] <- 'Myanmar'
data_validation$Country2[data_validation$Country2 == 'Nepal'] <- 'Bangladesh'
data_validation$Country2[data_validation$Country2 == 'Morocco'] <- 'Algeria'
data_validation$Country2[data_validation$Country2 == 'Israel'] <- 'Cyprus'
data_validation$Country2[data_validation$Country2 == 'Estonia'] <- 'Lithuania'
data_validation$Country2[data_validation$Country2 == 'Romania'] <- 'Poland'
data_validation$Country2[data_validation$Country2 == 'United Arab Emirates'] <- 'Turkey'
data_validation$Country2[data_validation$Country2 == 'Japan'] <- 'Republic of Korea'
data_validation$Country2[data_validation$Country2 == 'Ukraine'] <- 'Russian Federation'
data_validation$Country2[data_validation$Country2 == 'Guatemala'] <- 'Brazil'
data_validation$Country2[data_validation$Country2 == 'Sweden'] <- 'Denmark'
data_validation$Country2[data_validation$Country2 == 'South Africa'] <- 'Cameroon'
data_validation$Country2[data_validation$Country2 == 'San Marino'] <- 'Bosnia and Herzegovina'
data_validation$Country2[data_validation$Country2 == 'Monaco'] <- 'France'
data_validation$Country2[data_validation$Country2 == 'Nauru'] <- 'Micronesia (Federated States of)'
data_validation$Country2[data_validation$Country2 == 'Micronesia (Federated States of)'] <- 'Marshall Islands'
data_validation$Country2[data_validation$Country2 == 'Tuvalu'] <- 'Samoa'
data_validation$Country2[data_validation$Country2 == 'Brunei Darussalam'] <- 'Thailand'
data_validation$Country2 <- as.factor(data_validation$Country2)
# Creating Models on the training set
mod_country_lin <- lm(Life.expectancy~Country2, data = data)
mod_country_year_lin <- lm(Life.expectancy~Country2 + Year, data = data)
mod_complex_lin_9 <- lm(Life.expectancy~log_infant.deaths + log_percentage.expenditure + log_Measles+ log_Total.expenditure+ log_Population +poly(Diphtheria,3)+ log_HIV.AIDS+ Income.composition.of.resources+ log_GDP, data = data)
mod_complex_lin_12 <- lm(Life.expectancy~log_infant.deaths + log_Alcohol + log_percentage.expenditure + Hepatitis.B + log_Measles+ log_Total.expenditure+ log_Population +poly(Diphtheria,3)+ log_HIV.AIDS+ thinness..1.19.years+ Income.composition.of.resources+ log_GDP, data = data)
mod_complex_lin_9_country_year <- lm(Life.expectancy~Country2+Year+log_infant.deaths + log_percentage.expenditure + log_Measles+ log_Total.expenditure+ log_Population +poly(Diphtheria,3)+ log_HIV.AIDS+ Income.composition.of.resources+ log_GDP, data = data)
mod_complex_lin_12_country_year <- lm(Life.expectancy~Country2+Year+log_infant.deaths + log_Alcohol + log_percentage.expenditure + Hepatitis.B + log_Measles+ log_Total.expenditure+ log_Population +poly(Diphtheria,3)+ log_HIV.AIDS+ thinness..1.19.years+ Income.composition.of.resources+ log_GDP, data = data)
mod_complex_lin_2nd_ver <- lm(Life.expectancy~log_infant.deaths+log_percentage.expenditure+log_Measles+region+poly(Diphtheria,2)+log_HIV.AIDS+log_Total.expenditure+Income.composition.of.resources+log_GDP*log_Population, data = data)
mod_complex_lin_2nd_ver_country_year <- lm(Life.expectancy~Country2+Year+log_infant.deaths+log_percentage.expenditure+log_Measles+poly(Diphtheria,2)+log_HIV.AIDS+log_Total.expenditure+Income.composition.of.resources+log_GDP*log_Population, data = data)
mod_simple_lin <- lm(log_Life.expectancy~log_Alcohol+log_Measles+log_Population+log_HIV.AIDS+log_BMI+log_Adult.Mortality+log_Polio+log_Diphtheria+log_Income.composition.of.resources+log_Schooling+log_GDP,data=data)
mod_simple_lin_country_year <- lm(log_Life.expectancy~Country2+Year+log_Alcohol+log_Measles+log_Population+log_HIV.AIDS+log_BMI+log_Adult.Mortality+log_Polio+log_Diphtheria+log_Income.composition.of.resources+log_Schooling+log_GDP,data=data)
mod_simple_lin_no_log <- lm(Life.expectancy~log_Alcohol+log_Measles+log_Population+log_HIV.AIDS+log_BMI+log_Adult.Mortality+log_Polio+log_Diphtheria+log_Income.composition.of.resources+log_Schooling+log_GDP,data=data)
mod_simple_lin_no_log_country_year <- lm(Life.expectancy~Country2+Year+log_Alcohol+log_Measles+log_Population+log_HIV.AIDS+log_BMI+log_Adult.Mortality+log_Polio+log_Diphtheria+log_Income.composition.of.resources+log_Schooling+log_GDP,data=data)
mod_complex_lin_3rd_ver <- lm(Life.expectancy~log_infant.deaths+log_percentage.expenditure+region+poly(Diphtheria,2)+log_HIV.AIDS+Income.composition.of.resources+log_GDP+log_Population, data = data)
set.seed(23) # Random Forests generate differently each time
mod_rf <- randomForest(Life.expectancy~HIV.AIDS+log_HIV.AIDS+Income.composition.of.resources+log_Income.composition.of.resources+Adult.Mortality+log_Adult.Mortality+log_Schooling+under.five.deaths+log_under.five.deaths+thinness.5.9.years+Total.expenditure,data=data, ntree=500,mtry=5)
mod_rf_country_year <- randomForest(Life.expectancy~Country2 + Year,data=data, ntree=500)
mod_rf_full <- randomForest(Life.expectancy~Country2 + Year+HIV.AIDS+log_HIV.AIDS+Income.composition.of.resources+log_Income.composition.of.resources+Adult.Mortality+log_Adult.Mortality+log_Schooling+under.five.deaths+log_under.five.deaths+thinness.5.9.years+Total.expenditure,data=data, ntree=500,mtry=5)
# See how results compare on validation data
sqrt(mean((predict(mod_country_lin,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 3.898919
sqrt(mean((predict(mod_country_year_lin,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 2.810688
sqrt(mean((predict(mod_complex_lin_9,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 3.276721
sqrt(mean((predict(mod_complex_lin_12,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 3.278646
sqrt(mean((predict(mod_complex_lin_9_country_year,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 2.484119
sqrt(mean((predict(mod_complex_lin_12_country_year,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 2.496811
sqrt(mean((predict(mod_complex_lin_2nd_ver,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 3.314542
sqrt(mean((predict(mod_complex_lin_2nd_ver_country_year,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 2.512622
sqrt(mean((exp(predict(mod_simple_lin,newdata=data_validation))-1 - data_validation$Life.expectancy)^2)) # 3.81564
sqrt(mean((exp(predict(mod_simple_lin_country_year,newdata=data_validation))-1 - data_validation$Life.expectancy)^2)) # 2.761086
sqrt(mean((predict(mod_simple_lin_no_log,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 2.512622
sqrt(mean((predict(mod_simple_lin_no_log_country_year,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 2.582957
sqrt(mean((predict(mod_complex_lin_3rd_ver,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 3.333503
sqrt(mean((predict(mod_rf,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 2.166437
sqrt(mean((predict(mod_rf_country_year,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 2.574268
sqrt(mean((predict(mod_rf_full,newdata=data_validation) - data_validation$Life.expectancy)^2)) # 2.056703