diff --git a/DIRECTORY.md b/DIRECTORY.md
index 649c8ca..4b32606 100644
--- a/DIRECTORY.md
+++ b/DIRECTORY.md
@@ -16,7 +16,6 @@
* [Dbscan](https://github.com/TheAlgorithms/Jupyter/blob/master/machine_learning/dbscan/dbscan.ipynb)
* [Dbscan](https://github.com/TheAlgorithms/Jupyter/blob/master/machine_learning/dbscan/dbscan.py)
* Decision Tree With K-Fold Cross Validation
- * [K-Fold-Cross Validation Of Decision Tree Regression](https://github.com/TheAlgorithms/Jupyter/blob/master/machine_learning/Decision%20tree%20with%20k-fold%20cross%20validation/k-fold-cross%20validation%20of%20decision%20tree%20regression.ipynb)
* [K-Fold-Cross Validation Of Decision Tree Regression2](https://github.com/TheAlgorithms/Jupyter/blob/master/machine_learning/Decision%20tree%20with%20k-fold%20cross%20validation/k-fold-cross%20validation%20of%20decision%20tree%20regression2.ipynb)
* Decision Tree
* [Decision Tree](https://github.com/TheAlgorithms/Jupyter/blob/master/machine_learning/Decision%20tree/Decision_Tree.ipynb)
diff --git a/machine_learning/Decision tree with k-fold cross validation/k-fold-cross validation of decision tree regression.ipynb b/machine_learning/Decision tree with k-fold cross validation/k-fold-cross validation of decision tree regression.ipynb
deleted file mode 100644
index 712a088..0000000
--- a/machine_learning/Decision tree with k-fold cross validation/k-fold-cross validation of decision tree regression.ipynb
+++ /dev/null
@@ -1,5038 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "
\n",
- "\n",
- "
\n",
- " \n",
- " \n",
- " | \n",
- " Overall rank | \n",
- " Country or region | \n",
- " Score | \n",
- " GDP per capita | \n",
- " Social support | \n",
- " Healthy life expectancy | \n",
- " Freedom to make life choices | \n",
- " Generosity | \n",
- " Perceptions of corruption | \n",
- "
\n",
- " \n",
- " \n",
- " \n",
- " 0 | \n",
- " 1 | \n",
- " Finland | \n",
- " 7.769 | \n",
- " 1.340 | \n",
- " 1.587 | \n",
- " 0.986 | \n",
- " 0.596 | \n",
- " 0.153 | \n",
- " 0.393 | \n",
- "
\n",
- " \n",
- " 1 | \n",
- " 2 | \n",
- " Denmark | \n",
- " 7.600 | \n",
- " 1.383 | \n",
- " 1.573 | \n",
- " 0.996 | \n",
- " 0.592 | \n",
- " 0.252 | \n",
- " 0.410 | \n",
- "
\n",
- " \n",
- " 2 | \n",
- " 3 | \n",
- " Norway | \n",
- " 7.554 | \n",
- " 1.488 | \n",
- " 1.582 | \n",
- " 1.028 | \n",
- " 0.603 | \n",
- " 0.271 | \n",
- " 0.341 | \n",
- "
\n",
- " \n",
- " 3 | \n",
- " 4 | \n",
- " Iceland | \n",
- " 7.494 | \n",
- " 1.380 | \n",
- " 1.624 | \n",
- " 1.026 | \n",
- " 0.591 | \n",
- " 0.354 | \n",
- " 0.118 | \n",
- "
\n",
- " \n",
- " 4 | \n",
- " 5 | \n",
- " Netherlands | \n",
- " 7.488 | \n",
- " 1.396 | \n",
- " 1.522 | \n",
- " 0.999 | \n",
- " 0.557 | \n",
- " 0.322 | \n",
- " 0.298 | \n",
- "
\n",
- " \n",
- " 5 | \n",
- " 6 | \n",
- " Switzerland | \n",
- " 7.480 | \n",
- " 1.452 | \n",
- " 1.526 | \n",
- " 1.052 | \n",
- " 0.572 | \n",
- " 0.263 | \n",
- " 0.343 | \n",
- "
\n",
- " \n",
- " 6 | \n",
- " 7 | \n",
- " Sweden | \n",
- " 7.343 | \n",
- " 1.387 | \n",
- " 1.487 | \n",
- " 1.009 | \n",
- " 0.574 | \n",
- " 0.267 | \n",
- " 0.373 | \n",
- "
\n",
- " \n",
- " 7 | \n",
- " 8 | \n",
- " New Zealand | \n",
- " 7.307 | \n",
- " 1.303 | \n",
- " 1.557 | \n",
- " 1.026 | \n",
- " 0.585 | \n",
- " 0.330 | \n",
- " 0.380 | \n",
- "
\n",
- " \n",
- " 8 | \n",
- " 9 | \n",
- " Canada | \n",
- " 7.278 | \n",
- " 1.365 | \n",
- " 1.505 | \n",
- " 1.039 | \n",
- " 0.584 | \n",
- " 0.285 | \n",
- " 0.308 | \n",
- "
\n",
- " \n",
- " 9 | \n",
- " 10 | \n",
- " Austria | \n",
- " 7.246 | \n",
- " 1.376 | \n",
- " 1.475 | \n",
- " 1.016 | \n",
- " 0.532 | \n",
- " 0.244 | \n",
- " 0.226 | \n",
- "
\n",
- " \n",
- " 10 | \n",
- " 11 | \n",
- " Australia | \n",
- " 7.228 | \n",
- " 1.372 | \n",
- " 1.548 | \n",
- " 1.036 | \n",
- " 0.557 | \n",
- " 0.332 | \n",
- " 0.290 | \n",
- "
\n",
- " \n",
- " 11 | \n",
- " 12 | \n",
- " Costa Rica | \n",
- " 7.167 | \n",
- " 1.034 | \n",
- " 1.441 | \n",
- " 0.963 | \n",
- " 0.558 | \n",
- " 0.144 | \n",
- " 0.093 | \n",
- "
\n",
- " \n",
- " 12 | \n",
- " 13 | \n",
- " Israel | \n",
- " 7.139 | \n",
- " 1.276 | \n",
- " 1.455 | \n",
- " 1.029 | \n",
- " 0.371 | \n",
- " 0.261 | \n",
- " 0.082 | \n",
- "
\n",
- " \n",
- " 13 | \n",
- " 14 | \n",
- " Luxembourg | \n",
- " 7.090 | \n",
- " 1.609 | \n",
- " 1.479 | \n",
- " 1.012 | \n",
- " 0.526 | \n",
- " 0.194 | \n",
- " 0.316 | \n",
- "
\n",
- " \n",
- " 14 | \n",
- " 15 | \n",
- " United Kingdom | \n",
- " 7.054 | \n",
- " 1.333 | \n",
- " 1.538 | \n",
- " 0.996 | \n",
- " 0.450 | \n",
- " 0.348 | \n",
- " 0.278 | \n",
- "
\n",
- " \n",
- " 15 | \n",
- " 16 | \n",
- " Ireland | \n",
- " 7.021 | \n",
- " 1.499 | \n",
- " 1.553 | \n",
- " 0.999 | \n",
- " 0.516 | \n",
- " 0.298 | \n",
- " 0.310 | \n",
- "
\n",
- " \n",
- " 16 | \n",
- " 17 | \n",
- " Germany | \n",
- " 6.985 | \n",
- " 1.373 | \n",
- " 1.454 | \n",
- " 0.987 | \n",
- " 0.495 | \n",
- " 0.261 | \n",
- " 0.265 | \n",
- "
\n",
- " \n",
- " 17 | \n",
- " 18 | \n",
- " Belgium | \n",
- " 6.923 | \n",
- " 1.356 | \n",
- " 1.504 | \n",
- " 0.986 | \n",
- " 0.473 | \n",
- " 0.160 | \n",
- " 0.210 | \n",
- "
\n",
- " \n",
- " 18 | \n",
- " 19 | \n",
- " United States | \n",
- " 6.892 | \n",
- " 1.433 | \n",
- " 1.457 | \n",
- " 0.874 | \n",
- " 0.454 | \n",
- " 0.280 | \n",
- " 0.128 | \n",
- "
\n",
- " \n",
- " 19 | \n",
- " 20 | \n",
- " Czech Republic | \n",
- " 6.852 | \n",
- " 1.269 | \n",
- " 1.487 | \n",
- " 0.920 | \n",
- " 0.457 | \n",
- " 0.046 | \n",
- " 0.036 | \n",
- "
\n",
- " \n",
- " 20 | \n",
- " 21 | \n",
- " United Arab Emirates | \n",
- " 6.825 | \n",
- " 1.503 | \n",
- " 1.310 | \n",
- " 0.825 | \n",
- " 0.598 | \n",
- " 0.262 | \n",
- " 0.182 | \n",
- "
\n",
- " \n",
- " 21 | \n",
- " 22 | \n",
- " Malta | \n",
- " 6.726 | \n",
- " 1.300 | \n",
- " 1.520 | \n",
- " 0.999 | \n",
- " 0.564 | \n",
- " 0.375 | \n",
- " 0.151 | \n",
- "
\n",
- " \n",
- " 22 | \n",
- " 23 | \n",
- " Mexico | \n",
- " 6.595 | \n",
- " 1.070 | \n",
- " 1.323 | \n",
- " 0.861 | \n",
- " 0.433 | \n",
- " 0.074 | \n",
- " 0.073 | \n",
- "
\n",
- " \n",
- " 23 | \n",
- " 24 | \n",
- " France | \n",
- " 6.592 | \n",
- " 1.324 | \n",
- " 1.472 | \n",
- " 1.045 | \n",
- " 0.436 | \n",
- " 0.111 | \n",
- " 0.183 | \n",
- "
\n",
- " \n",
- " 24 | \n",
- " 25 | \n",
- " Taiwan | \n",
- " 6.446 | \n",
- " 1.368 | \n",
- " 1.430 | \n",
- " 0.914 | \n",
- " 0.351 | \n",
- " 0.242 | \n",
- " 0.097 | \n",
- "
\n",
- " \n",
- " 25 | \n",
- " 26 | \n",
- " Chile | \n",
- " 6.444 | \n",
- " 1.159 | \n",
- " 1.369 | \n",
- " 0.920 | \n",
- " 0.357 | \n",
- " 0.187 | \n",
- " 0.056 | \n",
- "
\n",
- " \n",
- " 26 | \n",
- " 27 | \n",
- " Guatemala | \n",
- " 6.436 | \n",
- " 0.800 | \n",
- " 1.269 | \n",
- " 0.746 | \n",
- " 0.535 | \n",
- " 0.175 | \n",
- " 0.078 | \n",
- "
\n",
- " \n",
- " 27 | \n",
- " 28 | \n",
- " Saudi Arabia | \n",
- " 6.375 | \n",
- " 1.403 | \n",
- " 1.357 | \n",
- " 0.795 | \n",
- " 0.439 | \n",
- " 0.080 | \n",
- " 0.132 | \n",
- "
\n",
- " \n",
- " 28 | \n",
- " 29 | \n",
- " Qatar | \n",
- " 6.374 | \n",
- " 1.684 | \n",
- " 1.313 | \n",
- " 0.871 | \n",
- " 0.555 | \n",
- " 0.220 | \n",
- " 0.167 | \n",
- "
\n",
- " \n",
- " 29 | \n",
- " 30 | \n",
- " Spain | \n",
- " 6.354 | \n",
- " 1.286 | \n",
- " 1.484 | \n",
- " 1.062 | \n",
- " 0.362 | \n",
- " 0.153 | \n",
- " 0.079 | \n",
- "
\n",
- " \n",
- " 30 | \n",
- " 31 | \n",
- " Panama | \n",
- " 6.321 | \n",
- " 1.149 | \n",
- " 1.442 | \n",
- " 0.910 | \n",
- " 0.516 | \n",
- " 0.109 | \n",
- " 0.054 | \n",
- "
\n",
- " \n",
- " 31 | \n",
- " 32 | \n",
- " Brazil | \n",
- " 6.300 | \n",
- " 1.004 | \n",
- " 1.439 | \n",
- " 0.802 | \n",
- " 0.390 | \n",
- " 0.099 | \n",
- " 0.086 | \n",
- "
\n",
- " \n",
- " 32 | \n",
- " 33 | \n",
- " Uruguay | \n",
- " 6.293 | \n",
- " 1.124 | \n",
- " 1.465 | \n",
- " 0.891 | \n",
- " 0.523 | \n",
- " 0.127 | \n",
- " 0.150 | \n",
- "
\n",
- " \n",
- " 33 | \n",
- " 34 | \n",
- " Singapore | \n",
- " 6.262 | \n",
- " 1.572 | \n",
- " 1.463 | \n",
- " 1.141 | \n",
- " 0.556 | \n",
- " 0.271 | \n",
- " 0.453 | \n",
- "
\n",
- " \n",
- " 34 | \n",
- " 35 | \n",
- " El Salvador | \n",
- " 6.253 | \n",
- " 0.794 | \n",
- " 1.242 | \n",
- " 0.789 | \n",
- " 0.430 | \n",
- " 0.093 | \n",
- " 0.074 | \n",
- "
\n",
- " \n",
- " 35 | \n",
- " 36 | \n",
- " Italy | \n",
- " 6.223 | \n",
- " 1.294 | \n",
- " 1.488 | \n",
- " 1.039 | \n",
- " 0.231 | \n",
- " 0.158 | \n",
- " 0.030 | \n",
- "
\n",
- " \n",
- " 36 | \n",
- " 37 | \n",
- " Bahrain | \n",
- " 6.199 | \n",
- " 1.362 | \n",
- " 1.368 | \n",
- " 0.871 | \n",
- " 0.536 | \n",
- " 0.255 | \n",
- " 0.110 | \n",
- "
\n",
- " \n",
- " 37 | \n",
- " 38 | \n",
- " Slovakia | \n",
- " 6.198 | \n",
- " 1.246 | \n",
- " 1.504 | \n",
- " 0.881 | \n",
- " 0.334 | \n",
- " 0.121 | \n",
- " 0.014 | \n",
- "
\n",
- " \n",
- " 38 | \n",
- " 39 | \n",
- " Trinidad & Tobago | \n",
- " 6.192 | \n",
- " 1.231 | \n",
- " 1.477 | \n",
- " 0.713 | \n",
- " 0.489 | \n",
- " 0.185 | \n",
- " 0.016 | \n",
- "
\n",
- " \n",
- " 39 | \n",
- " 40 | \n",
- " Poland | \n",
- " 6.182 | \n",
- " 1.206 | \n",
- " 1.438 | \n",
- " 0.884 | \n",
- " 0.483 | \n",
- " 0.117 | \n",
- " 0.050 | \n",
- "
\n",
- " \n",
- " 40 | \n",
- " 41 | \n",
- " Uzbekistan | \n",
- " 6.174 | \n",
- " 0.745 | \n",
- " 1.529 | \n",
- " 0.756 | \n",
- " 0.631 | \n",
- " 0.322 | \n",
- " 0.240 | \n",
- "
\n",
- " \n",
- " 41 | \n",
- " 42 | \n",
- " Lithuania | \n",
- " 6.149 | \n",
- " 1.238 | \n",
- " 1.515 | \n",
- " 0.818 | \n",
- " 0.291 | \n",
- " 0.043 | \n",
- " 0.042 | \n",
- "
\n",
- " \n",
- " 42 | \n",
- " 43 | \n",
- " Colombia | \n",
- " 6.125 | \n",
- " 0.985 | \n",
- " 1.410 | \n",
- " 0.841 | \n",
- " 0.470 | \n",
- " 0.099 | \n",
- " 0.034 | \n",
- "
\n",
- " \n",
- " 43 | \n",
- " 44 | \n",
- " Slovenia | \n",
- " 6.118 | \n",
- " 1.258 | \n",
- " 1.523 | \n",
- " 0.953 | \n",
- " 0.564 | \n",
- " 0.144 | \n",
- " 0.057 | \n",
- "
\n",
- " \n",
- " 44 | \n",
- " 45 | \n",
- " Nicaragua | \n",
- " 6.105 | \n",
- " 0.694 | \n",
- " 1.325 | \n",
- " 0.835 | \n",
- " 0.435 | \n",
- " 0.200 | \n",
- " 0.127 | \n",
- "
\n",
- " \n",
- " 45 | \n",
- " 46 | \n",
- " Kosovo | \n",
- " 6.100 | \n",
- " 0.882 | \n",
- " 1.232 | \n",
- " 0.758 | \n",
- " 0.489 | \n",
- " 0.262 | \n",
- " 0.006 | \n",
- "
\n",
- " \n",
- " 46 | \n",
- " 47 | \n",
- " Argentina | \n",
- " 6.086 | \n",
- " 1.092 | \n",
- " 1.432 | \n",
- " 0.881 | \n",
- " 0.471 | \n",
- " 0.066 | \n",
- " 0.050 | \n",
- "
\n",
- " \n",
- " 47 | \n",
- " 48 | \n",
- " Romania | \n",
- " 6.070 | \n",
- " 1.162 | \n",
- " 1.232 | \n",
- " 0.825 | \n",
- " 0.462 | \n",
- " 0.083 | \n",
- " 0.005 | \n",
- "
\n",
- " \n",
- " 48 | \n",
- " 49 | \n",
- " Cyprus | \n",
- " 6.046 | \n",
- " 1.263 | \n",
- " 1.223 | \n",
- " 1.042 | \n",
- " 0.406 | \n",
- " 0.190 | \n",
- " 0.041 | \n",
- "
\n",
- " \n",
- " 49 | \n",
- " 50 | \n",
- " Ecuador | \n",
- " 6.028 | \n",
- " 0.912 | \n",
- " 1.312 | \n",
- " 0.868 | \n",
- " 0.498 | \n",
- " 0.126 | \n",
- " 0.087 | \n",
- "
\n",
- " \n",
- " 50 | \n",
- " 51 | \n",
- " Kuwait | \n",
- " 6.021 | \n",
- " 1.500 | \n",
- " 1.319 | \n",
- " 0.808 | \n",
- " 0.493 | \n",
- " 0.142 | \n",
- " 0.097 | \n",
- "
\n",
- " \n",
- " 51 | \n",
- " 52 | \n",
- " Thailand | \n",
- " 6.008 | \n",
- " 1.050 | \n",
- " 1.409 | \n",
- " 0.828 | \n",
- " 0.557 | \n",
- " 0.359 | \n",
- " 0.028 | \n",
- "
\n",
- " \n",
- " 52 | \n",
- " 53 | \n",
- " Latvia | \n",
- " 5.940 | \n",
- " 1.187 | \n",
- " 1.465 | \n",
- " 0.812 | \n",
- " 0.264 | \n",
- " 0.075 | \n",
- " 0.064 | \n",
- "
\n",
- " \n",
- " 53 | \n",
- " 54 | \n",
- " South Korea | \n",
- " 5.895 | \n",
- " 1.301 | \n",
- " 1.219 | \n",
- " 1.036 | \n",
- " 0.159 | \n",
- " 0.175 | \n",
- " 0.056 | \n",
- "
\n",
- " \n",
- " 54 | \n",
- " 55 | \n",
- " Estonia | \n",
- " 5.893 | \n",
- " 1.237 | \n",
- " 1.528 | \n",
- " 0.874 | \n",
- " 0.495 | \n",
- " 0.103 | \n",
- " 0.161 | \n",
- "
\n",
- " \n",
- " 55 | \n",
- " 56 | \n",
- " Jamaica | \n",
- " 5.890 | \n",
- " 0.831 | \n",
- " 1.478 | \n",
- " 0.831 | \n",
- " 0.490 | \n",
- " 0.107 | \n",
- " 0.028 | \n",
- "
\n",
- " \n",
- " 56 | \n",
- " 57 | \n",
- " Mauritius | \n",
- " 5.888 | \n",
- " 1.120 | \n",
- " 1.402 | \n",
- " 0.798 | \n",
- " 0.498 | \n",
- " 0.215 | \n",
- " 0.060 | \n",
- "
\n",
- " \n",
- " 57 | \n",
- " 58 | \n",
- " Japan | \n",
- " 5.886 | \n",
- " 1.327 | \n",
- " 1.419 | \n",
- " 1.088 | \n",
- " 0.445 | \n",
- " 0.069 | \n",
- " 0.140 | \n",
- "
\n",
- " \n",
- " 58 | \n",
- " 59 | \n",
- " Honduras | \n",
- " 5.860 | \n",
- " 0.642 | \n",
- " 1.236 | \n",
- " 0.828 | \n",
- " 0.507 | \n",
- " 0.246 | \n",
- " 0.078 | \n",
- "
\n",
- " \n",
- " 59 | \n",
- " 60 | \n",
- " Kazakhstan | \n",
- " 5.809 | \n",
- " 1.173 | \n",
- " 1.508 | \n",
- " 0.729 | \n",
- " 0.410 | \n",
- " 0.146 | \n",
- " 0.096 | \n",
- "
\n",
- " \n",
- " 60 | \n",
- " 61 | \n",
- " Bolivia | \n",
- " 5.779 | \n",
- " 0.776 | \n",
- " 1.209 | \n",
- " 0.706 | \n",
- " 0.511 | \n",
- " 0.137 | \n",
- " 0.064 | \n",
- "
\n",
- " \n",
- " 61 | \n",
- " 62 | \n",
- " Hungary | \n",
- " 5.758 | \n",
- " 1.201 | \n",
- " 1.410 | \n",
- " 0.828 | \n",
- " 0.199 | \n",
- " 0.081 | \n",
- " 0.020 | \n",
- "
\n",
- " \n",
- " 62 | \n",
- " 63 | \n",
- " Paraguay | \n",
- " 5.743 | \n",
- " 0.855 | \n",
- " 1.475 | \n",
- " 0.777 | \n",
- " 0.514 | \n",
- " 0.184 | \n",
- " 0.080 | \n",
- "
\n",
- " \n",
- " 63 | \n",
- " 64 | \n",
- " Northern Cyprus | \n",
- " 5.718 | \n",
- " 1.263 | \n",
- " 1.252 | \n",
- " 1.042 | \n",
- " 0.417 | \n",
- " 0.191 | \n",
- " 0.162 | \n",
- "
\n",
- " \n",
- " 64 | \n",
- " 65 | \n",
- " Peru | \n",
- " 5.697 | \n",
- " 0.960 | \n",
- " 1.274 | \n",
- " 0.854 | \n",
- " 0.455 | \n",
- " 0.083 | \n",
- " 0.027 | \n",
- "
\n",
- " \n",
- " 65 | \n",
- " 66 | \n",
- " Portugal | \n",
- " 5.693 | \n",
- " 1.221 | \n",
- " 1.431 | \n",
- " 0.999 | \n",
- " 0.508 | \n",
- " 0.047 | \n",
- " 0.025 | \n",
- "
\n",
- " \n",
- " 66 | \n",
- " 67 | \n",
- " Pakistan | \n",
- " 5.653 | \n",
- " 0.677 | \n",
- " 0.886 | \n",
- " 0.535 | \n",
- " 0.313 | \n",
- " 0.220 | \n",
- " 0.098 | \n",
- "
\n",
- " \n",
- " 67 | \n",
- " 68 | \n",
- " Russia | \n",
- " 5.648 | \n",
- " 1.183 | \n",
- " 1.452 | \n",
- " 0.726 | \n",
- " 0.334 | \n",
- " 0.082 | \n",
- " 0.031 | \n",
- "
\n",
- " \n",
- " 68 | \n",
- " 69 | \n",
- " Philippines | \n",
- " 5.631 | \n",
- " 0.807 | \n",
- " 1.293 | \n",
- " 0.657 | \n",
- " 0.558 | \n",
- " 0.117 | \n",
- " 0.107 | \n",
- "
\n",
- " \n",
- " 69 | \n",
- " 70 | \n",
- " Serbia | \n",
- " 5.603 | \n",
- " 1.004 | \n",
- " 1.383 | \n",
- " 0.854 | \n",
- " 0.282 | \n",
- " 0.137 | \n",
- " 0.039 | \n",
- "
\n",
- " \n",
- " 70 | \n",
- " 71 | \n",
- " Moldova | \n",
- " 5.529 | \n",
- " 0.685 | \n",
- " 1.328 | \n",
- " 0.739 | \n",
- " 0.245 | \n",
- " 0.181 | \n",
- " 0.000 | \n",
- "
\n",
- " \n",
- " 71 | \n",
- " 72 | \n",
- " Libya | \n",
- " 5.525 | \n",
- " 1.044 | \n",
- " 1.303 | \n",
- " 0.673 | \n",
- " 0.416 | \n",
- " 0.133 | \n",
- " 0.152 | \n",
- "
\n",
- " \n",
- " 72 | \n",
- " 73 | \n",
- " Montenegro | \n",
- " 5.523 | \n",
- " 1.051 | \n",
- " 1.361 | \n",
- " 0.871 | \n",
- " 0.197 | \n",
- " 0.142 | \n",
- " 0.080 | \n",
- "
\n",
- " \n",
- " 73 | \n",
- " 74 | \n",
- " Tajikistan | \n",
- " 5.467 | \n",
- " 0.493 | \n",
- " 1.098 | \n",
- " 0.718 | \n",
- " 0.389 | \n",
- " 0.230 | \n",
- " 0.144 | \n",
- "
\n",
- " \n",
- " 74 | \n",
- " 75 | \n",
- " Croatia | \n",
- " 5.432 | \n",
- " 1.155 | \n",
- " 1.266 | \n",
- " 0.914 | \n",
- " 0.296 | \n",
- " 0.119 | \n",
- " 0.022 | \n",
- "
\n",
- " \n",
- " 75 | \n",
- " 76 | \n",
- " Hong Kong | \n",
- " 5.430 | \n",
- " 1.438 | \n",
- " 1.277 | \n",
- " 1.122 | \n",
- " 0.440 | \n",
- " 0.258 | \n",
- " 0.287 | \n",
- "
\n",
- " \n",
- " 76 | \n",
- " 77 | \n",
- " Dominican Republic | \n",
- " 5.425 | \n",
- " 1.015 | \n",
- " 1.401 | \n",
- " 0.779 | \n",
- " 0.497 | \n",
- " 0.113 | \n",
- " 0.101 | \n",
- "
\n",
- " \n",
- " 77 | \n",
- " 78 | \n",
- " Bosnia and Herzegovina | \n",
- " 5.386 | \n",
- " 0.945 | \n",
- " 1.212 | \n",
- " 0.845 | \n",
- " 0.212 | \n",
- " 0.263 | \n",
- " 0.006 | \n",
- "
\n",
- " \n",
- " 78 | \n",
- " 79 | \n",
- " Turkey | \n",
- " 5.373 | \n",
- " 1.183 | \n",
- " 1.360 | \n",
- " 0.808 | \n",
- " 0.195 | \n",
- " 0.083 | \n",
- " 0.106 | \n",
- "
\n",
- " \n",
- " 79 | \n",
- " 80 | \n",
- " Malaysia | \n",
- " 5.339 | \n",
- " 1.221 | \n",
- " 1.171 | \n",
- " 0.828 | \n",
- " 0.508 | \n",
- " 0.260 | \n",
- " 0.024 | \n",
- "
\n",
- " \n",
- " 80 | \n",
- " 81 | \n",
- " Belarus | \n",
- " 5.323 | \n",
- " 1.067 | \n",
- " 1.465 | \n",
- " 0.789 | \n",
- " 0.235 | \n",
- " 0.094 | \n",
- " 0.142 | \n",
- "
\n",
- " \n",
- " 81 | \n",
- " 82 | \n",
- " Greece | \n",
- " 5.287 | \n",
- " 1.181 | \n",
- " 1.156 | \n",
- " 0.999 | \n",
- " 0.067 | \n",
- " 0.000 | \n",
- " 0.034 | \n",
- "
\n",
- " \n",
- " 82 | \n",
- " 83 | \n",
- " Mongolia | \n",
- " 5.285 | \n",
- " 0.948 | \n",
- " 1.531 | \n",
- " 0.667 | \n",
- " 0.317 | \n",
- " 0.235 | \n",
- " 0.038 | \n",
- "
\n",
- " \n",
- " 83 | \n",
- " 84 | \n",
- " North Macedonia | \n",
- " 5.274 | \n",
- " 0.983 | \n",
- " 1.294 | \n",
- " 0.838 | \n",
- " 0.345 | \n",
- " 0.185 | \n",
- " 0.034 | \n",
- "
\n",
- " \n",
- " 84 | \n",
- " 85 | \n",
- " Nigeria | \n",
- " 5.265 | \n",
- " 0.696 | \n",
- " 1.111 | \n",
- " 0.245 | \n",
- " 0.426 | \n",
- " 0.215 | \n",
- " 0.041 | \n",
- "
\n",
- " \n",
- " 85 | \n",
- " 86 | \n",
- " Kyrgyzstan | \n",
- " 5.261 | \n",
- " 0.551 | \n",
- " 1.438 | \n",
- " 0.723 | \n",
- " 0.508 | \n",
- " 0.300 | \n",
- " 0.023 | \n",
- "
\n",
- " \n",
- " 86 | \n",
- " 87 | \n",
- " Turkmenistan | \n",
- " 5.247 | \n",
- " 1.052 | \n",
- " 1.538 | \n",
- " 0.657 | \n",
- " 0.394 | \n",
- " 0.244 | \n",
- " 0.028 | \n",
- "
\n",
- " \n",
- " 87 | \n",
- " 88 | \n",
- " Algeria | \n",
- " 5.211 | \n",
- " 1.002 | \n",
- " 1.160 | \n",
- " 0.785 | \n",
- " 0.086 | \n",
- " 0.073 | \n",
- " 0.114 | \n",
- "
\n",
- " \n",
- " 88 | \n",
- " 89 | \n",
- " Morocco | \n",
- " 5.208 | \n",
- " 0.801 | \n",
- " 0.782 | \n",
- " 0.782 | \n",
- " 0.418 | \n",
- " 0.036 | \n",
- " 0.076 | \n",
- "
\n",
- " \n",
- " 89 | \n",
- " 90 | \n",
- " Azerbaijan | \n",
- " 5.208 | \n",
- " 1.043 | \n",
- " 1.147 | \n",
- " 0.769 | \n",
- " 0.351 | \n",
- " 0.035 | \n",
- " 0.182 | \n",
- "
\n",
- " \n",
- " 90 | \n",
- " 91 | \n",
- " Lebanon | \n",
- " 5.197 | \n",
- " 0.987 | \n",
- " 1.224 | \n",
- " 0.815 | \n",
- " 0.216 | \n",
- " 0.166 | \n",
- " 0.027 | \n",
- "
\n",
- " \n",
- " 91 | \n",
- " 92 | \n",
- " Indonesia | \n",
- " 5.192 | \n",
- " 0.931 | \n",
- " 1.203 | \n",
- " 0.660 | \n",
- " 0.491 | \n",
- " 0.498 | \n",
- " 0.028 | \n",
- "
\n",
- " \n",
- " 92 | \n",
- " 93 | \n",
- " China | \n",
- " 5.191 | \n",
- " 1.029 | \n",
- " 1.125 | \n",
- " 0.893 | \n",
- " 0.521 | \n",
- " 0.058 | \n",
- " 0.100 | \n",
- "
\n",
- " \n",
- " 93 | \n",
- " 94 | \n",
- " Vietnam | \n",
- " 5.175 | \n",
- " 0.741 | \n",
- " 1.346 | \n",
- " 0.851 | \n",
- " 0.543 | \n",
- " 0.147 | \n",
- " 0.073 | \n",
- "
\n",
- " \n",
- " 94 | \n",
- " 95 | \n",
- " Bhutan | \n",
- " 5.082 | \n",
- " 0.813 | \n",
- " 1.321 | \n",
- " 0.604 | \n",
- " 0.457 | \n",
- " 0.370 | \n",
- " 0.167 | \n",
- "
\n",
- " \n",
- " 95 | \n",
- " 96 | \n",
- " Cameroon | \n",
- " 5.044 | \n",
- " 0.549 | \n",
- " 0.910 | \n",
- " 0.331 | \n",
- " 0.381 | \n",
- " 0.187 | \n",
- " 0.037 | \n",
- "
\n",
- " \n",
- " 96 | \n",
- " 97 | \n",
- " Bulgaria | \n",
- " 5.011 | \n",
- " 1.092 | \n",
- " 1.513 | \n",
- " 0.815 | \n",
- " 0.311 | \n",
- " 0.081 | \n",
- " 0.004 | \n",
- "
\n",
- " \n",
- " 97 | \n",
- " 98 | \n",
- " Ghana | \n",
- " 4.996 | \n",
- " 0.611 | \n",
- " 0.868 | \n",
- " 0.486 | \n",
- " 0.381 | \n",
- " 0.245 | \n",
- " 0.040 | \n",
- "
\n",
- " \n",
- " 98 | \n",
- " 99 | \n",
- " Ivory Coast | \n",
- " 4.944 | \n",
- " 0.569 | \n",
- " 0.808 | \n",
- " 0.232 | \n",
- " 0.352 | \n",
- " 0.154 | \n",
- " 0.090 | \n",
- "
\n",
- " \n",
- " 99 | \n",
- " 100 | \n",
- " Nepal | \n",
- " 4.913 | \n",
- " 0.446 | \n",
- " 1.226 | \n",
- " 0.677 | \n",
- " 0.439 | \n",
- " 0.285 | \n",
- " 0.089 | \n",
- "
\n",
- " \n",
- " 100 | \n",
- " 101 | \n",
- " Jordan | \n",
- " 4.906 | \n",
- " 0.837 | \n",
- " 1.225 | \n",
- " 0.815 | \n",
- " 0.383 | \n",
- " 0.110 | \n",
- " 0.130 | \n",
- "
\n",
- " \n",
- " 101 | \n",
- " 102 | \n",
- " Benin | \n",
- " 4.883 | \n",
- " 0.393 | \n",
- " 0.437 | \n",
- " 0.397 | \n",
- " 0.349 | \n",
- " 0.175 | \n",
- " 0.082 | \n",
- "
\n",
- " \n",
- " 102 | \n",
- " 103 | \n",
- " Congo (Brazzaville) | \n",
- " 4.812 | \n",
- " 0.673 | \n",
- " 0.799 | \n",
- " 0.508 | \n",
- " 0.372 | \n",
- " 0.105 | \n",
- " 0.093 | \n",
- "
\n",
- " \n",
- " 103 | \n",
- " 104 | \n",
- " Gabon | \n",
- " 4.799 | \n",
- " 1.057 | \n",
- " 1.183 | \n",
- " 0.571 | \n",
- " 0.295 | \n",
- " 0.043 | \n",
- " 0.055 | \n",
- "
\n",
- " \n",
- " 104 | \n",
- " 105 | \n",
- " Laos | \n",
- " 4.796 | \n",
- " 0.764 | \n",
- " 1.030 | \n",
- " 0.551 | \n",
- " 0.547 | \n",
- " 0.266 | \n",
- " 0.164 | \n",
- "
\n",
- " \n",
- " 105 | \n",
- " 106 | \n",
- " South Africa | \n",
- " 4.722 | \n",
- " 0.960 | \n",
- " 1.351 | \n",
- " 0.469 | \n",
- " 0.389 | \n",
- " 0.130 | \n",
- " 0.055 | \n",
- "
\n",
- " \n",
- " 106 | \n",
- " 107 | \n",
- " Albania | \n",
- " 4.719 | \n",
- " 0.947 | \n",
- " 0.848 | \n",
- " 0.874 | \n",
- " 0.383 | \n",
- " 0.178 | \n",
- " 0.027 | \n",
- "
\n",
- " \n",
- " 107 | \n",
- " 108 | \n",
- " Venezuela | \n",
- " 4.707 | \n",
- " 0.960 | \n",
- " 1.427 | \n",
- " 0.805 | \n",
- " 0.154 | \n",
- " 0.064 | \n",
- " 0.047 | \n",
- "
\n",
- " \n",
- " 108 | \n",
- " 109 | \n",
- " Cambodia | \n",
- " 4.700 | \n",
- " 0.574 | \n",
- " 1.122 | \n",
- " 0.637 | \n",
- " 0.609 | \n",
- " 0.232 | \n",
- " 0.062 | \n",
- "
\n",
- " \n",
- " 109 | \n",
- " 110 | \n",
- " Palestinian Territories | \n",
- " 4.696 | \n",
- " 0.657 | \n",
- " 1.247 | \n",
- " 0.672 | \n",
- " 0.225 | \n",
- " 0.103 | \n",
- " 0.066 | \n",
- "
\n",
- " \n",
- " 110 | \n",
- " 111 | \n",
- " Senegal | \n",
- " 4.681 | \n",
- " 0.450 | \n",
- " 1.134 | \n",
- " 0.571 | \n",
- " 0.292 | \n",
- " 0.153 | \n",
- " 0.072 | \n",
- "
\n",
- " \n",
- " 111 | \n",
- " 112 | \n",
- " Somalia | \n",
- " 4.668 | \n",
- " 0.000 | \n",
- " 0.698 | \n",
- " 0.268 | \n",
- " 0.559 | \n",
- " 0.243 | \n",
- " 0.270 | \n",
- "
\n",
- " \n",
- " 112 | \n",
- " 113 | \n",
- " Namibia | \n",
- " 4.639 | \n",
- " 0.879 | \n",
- " 1.313 | \n",
- " 0.477 | \n",
- " 0.401 | \n",
- " 0.070 | \n",
- " 0.056 | \n",
- "
\n",
- " \n",
- " 113 | \n",
- " 114 | \n",
- " Niger | \n",
- " 4.628 | \n",
- " 0.138 | \n",
- " 0.774 | \n",
- " 0.366 | \n",
- " 0.318 | \n",
- " 0.188 | \n",
- " 0.102 | \n",
- "
\n",
- " \n",
- " 114 | \n",
- " 115 | \n",
- " Burkina Faso | \n",
- " 4.587 | \n",
- " 0.331 | \n",
- " 1.056 | \n",
- " 0.380 | \n",
- " 0.255 | \n",
- " 0.177 | \n",
- " 0.113 | \n",
- "
\n",
- " \n",
- " 115 | \n",
- " 116 | \n",
- " Armenia | \n",
- " 4.559 | \n",
- " 0.850 | \n",
- " 1.055 | \n",
- " 0.815 | \n",
- " 0.283 | \n",
- " 0.095 | \n",
- " 0.064 | \n",
- "
\n",
- " \n",
- " 116 | \n",
- " 117 | \n",
- " Iran | \n",
- " 4.548 | \n",
- " 1.100 | \n",
- " 0.842 | \n",
- " 0.785 | \n",
- " 0.305 | \n",
- " 0.270 | \n",
- " 0.125 | \n",
- "
\n",
- " \n",
- " 117 | \n",
- " 118 | \n",
- " Guinea | \n",
- " 4.534 | \n",
- " 0.380 | \n",
- " 0.829 | \n",
- " 0.375 | \n",
- " 0.332 | \n",
- " 0.207 | \n",
- " 0.086 | \n",
- "
\n",
- " \n",
- " 118 | \n",
- " 119 | \n",
- " Georgia | \n",
- " 4.519 | \n",
- " 0.886 | \n",
- " 0.666 | \n",
- " 0.752 | \n",
- " 0.346 | \n",
- " 0.043 | \n",
- " 0.164 | \n",
- "
\n",
- " \n",
- " 119 | \n",
- " 120 | \n",
- " Gambia | \n",
- " 4.516 | \n",
- " 0.308 | \n",
- " 0.939 | \n",
- " 0.428 | \n",
- " 0.382 | \n",
- " 0.269 | \n",
- " 0.167 | \n",
- "
\n",
- " \n",
- " 120 | \n",
- " 121 | \n",
- " Kenya | \n",
- " 4.509 | \n",
- " 0.512 | \n",
- " 0.983 | \n",
- " 0.581 | \n",
- " 0.431 | \n",
- " 0.372 | \n",
- " 0.053 | \n",
- "
\n",
- " \n",
- " 121 | \n",
- " 122 | \n",
- " Mauritania | \n",
- " 4.490 | \n",
- " 0.570 | \n",
- " 1.167 | \n",
- " 0.489 | \n",
- " 0.066 | \n",
- " 0.106 | \n",
- " 0.088 | \n",
- "
\n",
- " \n",
- " 122 | \n",
- " 123 | \n",
- " Mozambique | \n",
- " 4.466 | \n",
- " 0.204 | \n",
- " 0.986 | \n",
- " 0.390 | \n",
- " 0.494 | \n",
- " 0.197 | \n",
- " 0.138 | \n",
- "
\n",
- " \n",
- " 123 | \n",
- " 124 | \n",
- " Tunisia | \n",
- " 4.461 | \n",
- " 0.921 | \n",
- " 1.000 | \n",
- " 0.815 | \n",
- " 0.167 | \n",
- " 0.059 | \n",
- " 0.055 | \n",
- "
\n",
- " \n",
- " 124 | \n",
- " 125 | \n",
- " Bangladesh | \n",
- " 4.456 | \n",
- " 0.562 | \n",
- " 0.928 | \n",
- " 0.723 | \n",
- " 0.527 | \n",
- " 0.166 | \n",
- " 0.143 | \n",
- "
\n",
- " \n",
- " 125 | \n",
- " 126 | \n",
- " Iraq | \n",
- " 4.437 | \n",
- " 1.043 | \n",
- " 0.980 | \n",
- " 0.574 | \n",
- " 0.241 | \n",
- " 0.148 | \n",
- " 0.089 | \n",
- "
\n",
- " \n",
- " 126 | \n",
- " 127 | \n",
- " Congo (Kinshasa) | \n",
- " 4.418 | \n",
- " 0.094 | \n",
- " 1.125 | \n",
- " 0.357 | \n",
- " 0.269 | \n",
- " 0.212 | \n",
- " 0.053 | \n",
- "
\n",
- " \n",
- " 127 | \n",
- " 128 | \n",
- " Mali | \n",
- " 4.390 | \n",
- " 0.385 | \n",
- " 1.105 | \n",
- " 0.308 | \n",
- " 0.327 | \n",
- " 0.153 | \n",
- " 0.052 | \n",
- "
\n",
- " \n",
- " 128 | \n",
- " 129 | \n",
- " Sierra Leone | \n",
- " 4.374 | \n",
- " 0.268 | \n",
- " 0.841 | \n",
- " 0.242 | \n",
- " 0.309 | \n",
- " 0.252 | \n",
- " 0.045 | \n",
- "
\n",
- " \n",
- " 129 | \n",
- " 130 | \n",
- " Sri Lanka | \n",
- " 4.366 | \n",
- " 0.949 | \n",
- " 1.265 | \n",
- " 0.831 | \n",
- " 0.470 | \n",
- " 0.244 | \n",
- " 0.047 | \n",
- "
\n",
- " \n",
- " 130 | \n",
- " 131 | \n",
- " Myanmar | \n",
- " 4.360 | \n",
- " 0.710 | \n",
- " 1.181 | \n",
- " 0.555 | \n",
- " 0.525 | \n",
- " 0.566 | \n",
- " 0.172 | \n",
- "
\n",
- " \n",
- " 131 | \n",
- " 132 | \n",
- " Chad | \n",
- " 4.350 | \n",
- " 0.350 | \n",
- " 0.766 | \n",
- " 0.192 | \n",
- " 0.174 | \n",
- " 0.198 | \n",
- " 0.078 | \n",
- "
\n",
- " \n",
- " 132 | \n",
- " 133 | \n",
- " Ukraine | \n",
- " 4.332 | \n",
- " 0.820 | \n",
- " 1.390 | \n",
- " 0.739 | \n",
- " 0.178 | \n",
- " 0.187 | \n",
- " 0.010 | \n",
- "
\n",
- " \n",
- " 133 | \n",
- " 134 | \n",
- " Ethiopia | \n",
- " 4.286 | \n",
- " 0.336 | \n",
- " 1.033 | \n",
- " 0.532 | \n",
- " 0.344 | \n",
- " 0.209 | \n",
- " 0.100 | \n",
- "
\n",
- " \n",
- " 134 | \n",
- " 135 | \n",
- " Swaziland | \n",
- " 4.212 | \n",
- " 0.811 | \n",
- " 1.149 | \n",
- " 0.000 | \n",
- " 0.313 | \n",
- " 0.074 | \n",
- " 0.135 | \n",
- "
\n",
- " \n",
- " 135 | \n",
- " 136 | \n",
- " Uganda | \n",
- " 4.189 | \n",
- " 0.332 | \n",
- " 1.069 | \n",
- " 0.443 | \n",
- " 0.356 | \n",
- " 0.252 | \n",
- " 0.060 | \n",
- "
\n",
- " \n",
- " 136 | \n",
- " 137 | \n",
- " Egypt | \n",
- " 4.166 | \n",
- " 0.913 | \n",
- " 1.039 | \n",
- " 0.644 | \n",
- " 0.241 | \n",
- " 0.076 | \n",
- " 0.067 | \n",
- "
\n",
- " \n",
- " 137 | \n",
- " 138 | \n",
- " Zambia | \n",
- " 4.107 | \n",
- " 0.578 | \n",
- " 1.058 | \n",
- " 0.426 | \n",
- " 0.431 | \n",
- " 0.247 | \n",
- " 0.087 | \n",
- "
\n",
- " \n",
- " 138 | \n",
- " 139 | \n",
- " Togo | \n",
- " 4.085 | \n",
- " 0.275 | \n",
- " 0.572 | \n",
- " 0.410 | \n",
- " 0.293 | \n",
- " 0.177 | \n",
- " 0.085 | \n",
- "
\n",
- " \n",
- " 139 | \n",
- " 140 | \n",
- " India | \n",
- " 4.015 | \n",
- " 0.755 | \n",
- " 0.765 | \n",
- " 0.588 | \n",
- " 0.498 | \n",
- " 0.200 | \n",
- " 0.085 | \n",
- "
\n",
- " \n",
- " 140 | \n",
- " 141 | \n",
- " Liberia | \n",
- " 3.975 | \n",
- " 0.073 | \n",
- " 0.922 | \n",
- " 0.443 | \n",
- " 0.370 | \n",
- " 0.233 | \n",
- " 0.033 | \n",
- "
\n",
- " \n",
- " 141 | \n",
- " 142 | \n",
- " Comoros | \n",
- " 3.973 | \n",
- " 0.274 | \n",
- " 0.757 | \n",
- " 0.505 | \n",
- " 0.142 | \n",
- " 0.275 | \n",
- " 0.078 | \n",
- "
\n",
- " \n",
- " 142 | \n",
- " 143 | \n",
- " Madagascar | \n",
- " 3.933 | \n",
- " 0.274 | \n",
- " 0.916 | \n",
- " 0.555 | \n",
- " 0.148 | \n",
- " 0.169 | \n",
- " 0.041 | \n",
- "
\n",
- " \n",
- " 143 | \n",
- " 144 | \n",
- " Lesotho | \n",
- " 3.802 | \n",
- " 0.489 | \n",
- " 1.169 | \n",
- " 0.168 | \n",
- " 0.359 | \n",
- " 0.107 | \n",
- " 0.093 | \n",
- "
\n",
- " \n",
- " 144 | \n",
- " 145 | \n",
- " Burundi | \n",
- " 3.775 | \n",
- " 0.046 | \n",
- " 0.447 | \n",
- " 0.380 | \n",
- " 0.220 | \n",
- " 0.176 | \n",
- " 0.180 | \n",
- "
\n",
- " \n",
- " 145 | \n",
- " 146 | \n",
- " Zimbabwe | \n",
- " 3.663 | \n",
- " 0.366 | \n",
- " 1.114 | \n",
- " 0.433 | \n",
- " 0.361 | \n",
- " 0.151 | \n",
- " 0.089 | \n",
- "
\n",
- " \n",
- " 146 | \n",
- " 147 | \n",
- " Haiti | \n",
- " 3.597 | \n",
- " 0.323 | \n",
- " 0.688 | \n",
- " 0.449 | \n",
- " 0.026 | \n",
- " 0.419 | \n",
- " 0.110 | \n",
- "
\n",
- " \n",
- " 147 | \n",
- " 148 | \n",
- " Botswana | \n",
- " 3.488 | \n",
- " 1.041 | \n",
- " 1.145 | \n",
- " 0.538 | \n",
- " 0.455 | \n",
- " 0.025 | \n",
- " 0.100 | \n",
- "
\n",
- " \n",
- " 148 | \n",
- " 149 | \n",
- " Syria | \n",
- " 3.462 | \n",
- " 0.619 | \n",
- " 0.378 | \n",
- " 0.440 | \n",
- " 0.013 | \n",
- " 0.331 | \n",
- " 0.141 | \n",
- "
\n",
- " \n",
- " 149 | \n",
- " 150 | \n",
- " Malawi | \n",
- " 3.410 | \n",
- " 0.191 | \n",
- " 0.560 | \n",
- " 0.495 | \n",
- " 0.443 | \n",
- " 0.218 | \n",
- " 0.089 | \n",
- "
\n",
- " \n",
- " 150 | \n",
- " 151 | \n",
- " Yemen | \n",
- " 3.380 | \n",
- " 0.287 | \n",
- " 1.163 | \n",
- " 0.463 | \n",
- " 0.143 | \n",
- " 0.108 | \n",
- " 0.077 | \n",
- "
\n",
- " \n",
- " 151 | \n",
- " 152 | \n",
- " Rwanda | \n",
- " 3.334 | \n",
- " 0.359 | \n",
- " 0.711 | \n",
- " 0.614 | \n",
- " 0.555 | \n",
- " 0.217 | \n",
- " 0.411 | \n",
- "
\n",
- " \n",
- " 152 | \n",
- " 153 | \n",
- " Tanzania | \n",
- " 3.231 | \n",
- " 0.476 | \n",
- " 0.885 | \n",
- " 0.499 | \n",
- " 0.417 | \n",
- " 0.276 | \n",
- " 0.147 | \n",
- "
\n",
- " \n",
- " 153 | \n",
- " 154 | \n",
- " Afghanistan | \n",
- " 3.203 | \n",
- " 0.350 | \n",
- " 0.517 | \n",
- " 0.361 | \n",
- " 0.000 | \n",
- " 0.158 | \n",
- " 0.025 | \n",
- "
\n",
- " \n",
- " 154 | \n",
- " 155 | \n",
- " Central African Republic | \n",
- " 3.083 | \n",
- " 0.026 | \n",
- " 0.000 | \n",
- " 0.105 | \n",
- " 0.225 | \n",
- " 0.235 | \n",
- " 0.035 | \n",
- "
\n",
- " \n",
- " 155 | \n",
- " 156 | \n",
- " South Sudan | \n",
- " 2.853 | \n",
- " 0.306 | \n",
- " 0.575 | \n",
- " 0.295 | \n",
- " 0.010 | \n",
- " 0.202 | \n",
- " 0.091 | \n",
- "
\n",
- " \n",
- "
\n",
- "
"
- ],
- "text/plain": [
- " Overall rank Country or region Score GDP per capita \\\n",
- "0 1 Finland 7.769 1.340 \n",
- "1 2 Denmark 7.600 1.383 \n",
- "2 3 Norway 7.554 1.488 \n",
- "3 4 Iceland 7.494 1.380 \n",
- "4 5 Netherlands 7.488 1.396 \n",
- "5 6 Switzerland 7.480 1.452 \n",
- "6 7 Sweden 7.343 1.387 \n",
- "7 8 New Zealand 7.307 1.303 \n",
- "8 9 Canada 7.278 1.365 \n",
- "9 10 Austria 7.246 1.376 \n",
- "10 11 Australia 7.228 1.372 \n",
- "11 12 Costa Rica 7.167 1.034 \n",
- "12 13 Israel 7.139 1.276 \n",
- "13 14 Luxembourg 7.090 1.609 \n",
- "14 15 United Kingdom 7.054 1.333 \n",
- "15 16 Ireland 7.021 1.499 \n",
- "16 17 Germany 6.985 1.373 \n",
- "17 18 Belgium 6.923 1.356 \n",
- "18 19 United States 6.892 1.433 \n",
- "19 20 Czech Republic 6.852 1.269 \n",
- "20 21 United Arab Emirates 6.825 1.503 \n",
- "21 22 Malta 6.726 1.300 \n",
- "22 23 Mexico 6.595 1.070 \n",
- "23 24 France 6.592 1.324 \n",
- "24 25 Taiwan 6.446 1.368 \n",
- "25 26 Chile 6.444 1.159 \n",
- "26 27 Guatemala 6.436 0.800 \n",
- "27 28 Saudi Arabia 6.375 1.403 \n",
- "28 29 Qatar 6.374 1.684 \n",
- "29 30 Spain 6.354 1.286 \n",
- "30 31 Panama 6.321 1.149 \n",
- "31 32 Brazil 6.300 1.004 \n",
- "32 33 Uruguay 6.293 1.124 \n",
- "33 34 Singapore 6.262 1.572 \n",
- "34 35 El Salvador 6.253 0.794 \n",
- "35 36 Italy 6.223 1.294 \n",
- "36 37 Bahrain 6.199 1.362 \n",
- "37 38 Slovakia 6.198 1.246 \n",
- "38 39 Trinidad & Tobago 6.192 1.231 \n",
- "39 40 Poland 6.182 1.206 \n",
- "40 41 Uzbekistan 6.174 0.745 \n",
- "41 42 Lithuania 6.149 1.238 \n",
- "42 43 Colombia 6.125 0.985 \n",
- "43 44 Slovenia 6.118 1.258 \n",
- "44 45 Nicaragua 6.105 0.694 \n",
- "45 46 Kosovo 6.100 0.882 \n",
- "46 47 Argentina 6.086 1.092 \n",
- "47 48 Romania 6.070 1.162 \n",
- "48 49 Cyprus 6.046 1.263 \n",
- "49 50 Ecuador 6.028 0.912 \n",
- "50 51 Kuwait 6.021 1.500 \n",
- "51 52 Thailand 6.008 1.050 \n",
- "52 53 Latvia 5.940 1.187 \n",
- "53 54 South Korea 5.895 1.301 \n",
- "54 55 Estonia 5.893 1.237 \n",
- "55 56 Jamaica 5.890 0.831 \n",
- "56 57 Mauritius 5.888 1.120 \n",
- "57 58 Japan 5.886 1.327 \n",
- "58 59 Honduras 5.860 0.642 \n",
- "59 60 Kazakhstan 5.809 1.173 \n",
- "60 61 Bolivia 5.779 0.776 \n",
- "61 62 Hungary 5.758 1.201 \n",
- "62 63 Paraguay 5.743 0.855 \n",
- "63 64 Northern Cyprus 5.718 1.263 \n",
- "64 65 Peru 5.697 0.960 \n",
- "65 66 Portugal 5.693 1.221 \n",
- "66 67 Pakistan 5.653 0.677 \n",
- "67 68 Russia 5.648 1.183 \n",
- "68 69 Philippines 5.631 0.807 \n",
- "69 70 Serbia 5.603 1.004 \n",
- "70 71 Moldova 5.529 0.685 \n",
- "71 72 Libya 5.525 1.044 \n",
- "72 73 Montenegro 5.523 1.051 \n",
- "73 74 Tajikistan 5.467 0.493 \n",
- "74 75 Croatia 5.432 1.155 \n",
- "75 76 Hong Kong 5.430 1.438 \n",
- "76 77 Dominican Republic 5.425 1.015 \n",
- "77 78 Bosnia and Herzegovina 5.386 0.945 \n",
- "78 79 Turkey 5.373 1.183 \n",
- "79 80 Malaysia 5.339 1.221 \n",
- "80 81 Belarus 5.323 1.067 \n",
- "81 82 Greece 5.287 1.181 \n",
- "82 83 Mongolia 5.285 0.948 \n",
- "83 84 North Macedonia 5.274 0.983 \n",
- "84 85 Nigeria 5.265 0.696 \n",
- "85 86 Kyrgyzstan 5.261 0.551 \n",
- "86 87 Turkmenistan 5.247 1.052 \n",
- "87 88 Algeria 5.211 1.002 \n",
- "88 89 Morocco 5.208 0.801 \n",
- "89 90 Azerbaijan 5.208 1.043 \n",
- "90 91 Lebanon 5.197 0.987 \n",
- "91 92 Indonesia 5.192 0.931 \n",
- "92 93 China 5.191 1.029 \n",
- "93 94 Vietnam 5.175 0.741 \n",
- "94 95 Bhutan 5.082 0.813 \n",
- "95 96 Cameroon 5.044 0.549 \n",
- "96 97 Bulgaria 5.011 1.092 \n",
- "97 98 Ghana 4.996 0.611 \n",
- "98 99 Ivory Coast 4.944 0.569 \n",
- "99 100 Nepal 4.913 0.446 \n",
- "100 101 Jordan 4.906 0.837 \n",
- "101 102 Benin 4.883 0.393 \n",
- "102 103 Congo (Brazzaville) 4.812 0.673 \n",
- "103 104 Gabon 4.799 1.057 \n",
- "104 105 Laos 4.796 0.764 \n",
- "105 106 South Africa 4.722 0.960 \n",
- "106 107 Albania 4.719 0.947 \n",
- "107 108 Venezuela 4.707 0.960 \n",
- "108 109 Cambodia 4.700 0.574 \n",
- "109 110 Palestinian Territories 4.696 0.657 \n",
- "110 111 Senegal 4.681 0.450 \n",
- "111 112 Somalia 4.668 0.000 \n",
- "112 113 Namibia 4.639 0.879 \n",
- "113 114 Niger 4.628 0.138 \n",
- "114 115 Burkina Faso 4.587 0.331 \n",
- "115 116 Armenia 4.559 0.850 \n",
- "116 117 Iran 4.548 1.100 \n",
- "117 118 Guinea 4.534 0.380 \n",
- "118 119 Georgia 4.519 0.886 \n",
- "119 120 Gambia 4.516 0.308 \n",
- "120 121 Kenya 4.509 0.512 \n",
- "121 122 Mauritania 4.490 0.570 \n",
- "122 123 Mozambique 4.466 0.204 \n",
- "123 124 Tunisia 4.461 0.921 \n",
- "124 125 Bangladesh 4.456 0.562 \n",
- "125 126 Iraq 4.437 1.043 \n",
- "126 127 Congo (Kinshasa) 4.418 0.094 \n",
- "127 128 Mali 4.390 0.385 \n",
- "128 129 Sierra Leone 4.374 0.268 \n",
- "129 130 Sri Lanka 4.366 0.949 \n",
- "130 131 Myanmar 4.360 0.710 \n",
- "131 132 Chad 4.350 0.350 \n",
- "132 133 Ukraine 4.332 0.820 \n",
- "133 134 Ethiopia 4.286 0.336 \n",
- "134 135 Swaziland 4.212 0.811 \n",
- "135 136 Uganda 4.189 0.332 \n",
- "136 137 Egypt 4.166 0.913 \n",
- "137 138 Zambia 4.107 0.578 \n",
- "138 139 Togo 4.085 0.275 \n",
- "139 140 India 4.015 0.755 \n",
- "140 141 Liberia 3.975 0.073 \n",
- "141 142 Comoros 3.973 0.274 \n",
- "142 143 Madagascar 3.933 0.274 \n",
- "143 144 Lesotho 3.802 0.489 \n",
- "144 145 Burundi 3.775 0.046 \n",
- "145 146 Zimbabwe 3.663 0.366 \n",
- "146 147 Haiti 3.597 0.323 \n",
- "147 148 Botswana 3.488 1.041 \n",
- "148 149 Syria 3.462 0.619 \n",
- "149 150 Malawi 3.410 0.191 \n",
- "150 151 Yemen 3.380 0.287 \n",
- "151 152 Rwanda 3.334 0.359 \n",
- "152 153 Tanzania 3.231 0.476 \n",
- "153 154 Afghanistan 3.203 0.350 \n",
- "154 155 Central African Republic 3.083 0.026 \n",
- "155 156 South Sudan 2.853 0.306 \n",
- "\n",
- " Social support Healthy life expectancy Freedom to make life choices \\\n",
- "0 1.587 0.986 0.596 \n",
- "1 1.573 0.996 0.592 \n",
- "2 1.582 1.028 0.603 \n",
- "3 1.624 1.026 0.591 \n",
- "4 1.522 0.999 0.557 \n",
- "5 1.526 1.052 0.572 \n",
- "6 1.487 1.009 0.574 \n",
- "7 1.557 1.026 0.585 \n",
- "8 1.505 1.039 0.584 \n",
- "9 1.475 1.016 0.532 \n",
- "10 1.548 1.036 0.557 \n",
- "11 1.441 0.963 0.558 \n",
- "12 1.455 1.029 0.371 \n",
- "13 1.479 1.012 0.526 \n",
- "14 1.538 0.996 0.450 \n",
- "15 1.553 0.999 0.516 \n",
- "16 1.454 0.987 0.495 \n",
- "17 1.504 0.986 0.473 \n",
- "18 1.457 0.874 0.454 \n",
- "19 1.487 0.920 0.457 \n",
- "20 1.310 0.825 0.598 \n",
- "21 1.520 0.999 0.564 \n",
- "22 1.323 0.861 0.433 \n",
- "23 1.472 1.045 0.436 \n",
- "24 1.430 0.914 0.351 \n",
- "25 1.369 0.920 0.357 \n",
- "26 1.269 0.746 0.535 \n",
- "27 1.357 0.795 0.439 \n",
- "28 1.313 0.871 0.555 \n",
- "29 1.484 1.062 0.362 \n",
- "30 1.442 0.910 0.516 \n",
- "31 1.439 0.802 0.390 \n",
- "32 1.465 0.891 0.523 \n",
- "33 1.463 1.141 0.556 \n",
- "34 1.242 0.789 0.430 \n",
- "35 1.488 1.039 0.231 \n",
- "36 1.368 0.871 0.536 \n",
- "37 1.504 0.881 0.334 \n",
- "38 1.477 0.713 0.489 \n",
- "39 1.438 0.884 0.483 \n",
- "40 1.529 0.756 0.631 \n",
- "41 1.515 0.818 0.291 \n",
- "42 1.410 0.841 0.470 \n",
- "43 1.523 0.953 0.564 \n",
- "44 1.325 0.835 0.435 \n",
- "45 1.232 0.758 0.489 \n",
- "46 1.432 0.881 0.471 \n",
- "47 1.232 0.825 0.462 \n",
- "48 1.223 1.042 0.406 \n",
- "49 1.312 0.868 0.498 \n",
- "50 1.319 0.808 0.493 \n",
- "51 1.409 0.828 0.557 \n",
- "52 1.465 0.812 0.264 \n",
- "53 1.219 1.036 0.159 \n",
- "54 1.528 0.874 0.495 \n",
- "55 1.478 0.831 0.490 \n",
- "56 1.402 0.798 0.498 \n",
- "57 1.419 1.088 0.445 \n",
- "58 1.236 0.828 0.507 \n",
- "59 1.508 0.729 0.410 \n",
- "60 1.209 0.706 0.511 \n",
- "61 1.410 0.828 0.199 \n",
- "62 1.475 0.777 0.514 \n",
- "63 1.252 1.042 0.417 \n",
- "64 1.274 0.854 0.455 \n",
- "65 1.431 0.999 0.508 \n",
- "66 0.886 0.535 0.313 \n",
- "67 1.452 0.726 0.334 \n",
- "68 1.293 0.657 0.558 \n",
- "69 1.383 0.854 0.282 \n",
- "70 1.328 0.739 0.245 \n",
- "71 1.303 0.673 0.416 \n",
- "72 1.361 0.871 0.197 \n",
- "73 1.098 0.718 0.389 \n",
- "74 1.266 0.914 0.296 \n",
- "75 1.277 1.122 0.440 \n",
- "76 1.401 0.779 0.497 \n",
- "77 1.212 0.845 0.212 \n",
- "78 1.360 0.808 0.195 \n",
- "79 1.171 0.828 0.508 \n",
- "80 1.465 0.789 0.235 \n",
- "81 1.156 0.999 0.067 \n",
- "82 1.531 0.667 0.317 \n",
- "83 1.294 0.838 0.345 \n",
- "84 1.111 0.245 0.426 \n",
- "85 1.438 0.723 0.508 \n",
- "86 1.538 0.657 0.394 \n",
- "87 1.160 0.785 0.086 \n",
- "88 0.782 0.782 0.418 \n",
- "89 1.147 0.769 0.351 \n",
- "90 1.224 0.815 0.216 \n",
- "91 1.203 0.660 0.491 \n",
- "92 1.125 0.893 0.521 \n",
- "93 1.346 0.851 0.543 \n",
- "94 1.321 0.604 0.457 \n",
- "95 0.910 0.331 0.381 \n",
- "96 1.513 0.815 0.311 \n",
- "97 0.868 0.486 0.381 \n",
- "98 0.808 0.232 0.352 \n",
- "99 1.226 0.677 0.439 \n",
- "100 1.225 0.815 0.383 \n",
- "101 0.437 0.397 0.349 \n",
- "102 0.799 0.508 0.372 \n",
- "103 1.183 0.571 0.295 \n",
- "104 1.030 0.551 0.547 \n",
- "105 1.351 0.469 0.389 \n",
- "106 0.848 0.874 0.383 \n",
- "107 1.427 0.805 0.154 \n",
- "108 1.122 0.637 0.609 \n",
- "109 1.247 0.672 0.225 \n",
- "110 1.134 0.571 0.292 \n",
- "111 0.698 0.268 0.559 \n",
- "112 1.313 0.477 0.401 \n",
- "113 0.774 0.366 0.318 \n",
- "114 1.056 0.380 0.255 \n",
- "115 1.055 0.815 0.283 \n",
- "116 0.842 0.785 0.305 \n",
- "117 0.829 0.375 0.332 \n",
- "118 0.666 0.752 0.346 \n",
- "119 0.939 0.428 0.382 \n",
- "120 0.983 0.581 0.431 \n",
- "121 1.167 0.489 0.066 \n",
- "122 0.986 0.390 0.494 \n",
- "123 1.000 0.815 0.167 \n",
- "124 0.928 0.723 0.527 \n",
- "125 0.980 0.574 0.241 \n",
- "126 1.125 0.357 0.269 \n",
- "127 1.105 0.308 0.327 \n",
- "128 0.841 0.242 0.309 \n",
- "129 1.265 0.831 0.470 \n",
- "130 1.181 0.555 0.525 \n",
- "131 0.766 0.192 0.174 \n",
- "132 1.390 0.739 0.178 \n",
- "133 1.033 0.532 0.344 \n",
- "134 1.149 0.000 0.313 \n",
- "135 1.069 0.443 0.356 \n",
- "136 1.039 0.644 0.241 \n",
- "137 1.058 0.426 0.431 \n",
- "138 0.572 0.410 0.293 \n",
- "139 0.765 0.588 0.498 \n",
- "140 0.922 0.443 0.370 \n",
- "141 0.757 0.505 0.142 \n",
- "142 0.916 0.555 0.148 \n",
- "143 1.169 0.168 0.359 \n",
- "144 0.447 0.380 0.220 \n",
- "145 1.114 0.433 0.361 \n",
- "146 0.688 0.449 0.026 \n",
- "147 1.145 0.538 0.455 \n",
- "148 0.378 0.440 0.013 \n",
- "149 0.560 0.495 0.443 \n",
- "150 1.163 0.463 0.143 \n",
- "151 0.711 0.614 0.555 \n",
- "152 0.885 0.499 0.417 \n",
- "153 0.517 0.361 0.000 \n",
- "154 0.000 0.105 0.225 \n",
- "155 0.575 0.295 0.010 \n",
- "\n",
- " Generosity Perceptions of corruption \n",
- "0 0.153 0.393 \n",
- "1 0.252 0.410 \n",
- "2 0.271 0.341 \n",
- "3 0.354 0.118 \n",
- "4 0.322 0.298 \n",
- "5 0.263 0.343 \n",
- "6 0.267 0.373 \n",
- "7 0.330 0.380 \n",
- "8 0.285 0.308 \n",
- "9 0.244 0.226 \n",
- "10 0.332 0.290 \n",
- "11 0.144 0.093 \n",
- "12 0.261 0.082 \n",
- "13 0.194 0.316 \n",
- "14 0.348 0.278 \n",
- "15 0.298 0.310 \n",
- "16 0.261 0.265 \n",
- "17 0.160 0.210 \n",
- "18 0.280 0.128 \n",
- "19 0.046 0.036 \n",
- "20 0.262 0.182 \n",
- "21 0.375 0.151 \n",
- "22 0.074 0.073 \n",
- "23 0.111 0.183 \n",
- "24 0.242 0.097 \n",
- "25 0.187 0.056 \n",
- "26 0.175 0.078 \n",
- "27 0.080 0.132 \n",
- "28 0.220 0.167 \n",
- "29 0.153 0.079 \n",
- "30 0.109 0.054 \n",
- "31 0.099 0.086 \n",
- "32 0.127 0.150 \n",
- "33 0.271 0.453 \n",
- "34 0.093 0.074 \n",
- "35 0.158 0.030 \n",
- "36 0.255 0.110 \n",
- "37 0.121 0.014 \n",
- "38 0.185 0.016 \n",
- "39 0.117 0.050 \n",
- "40 0.322 0.240 \n",
- "41 0.043 0.042 \n",
- "42 0.099 0.034 \n",
- "43 0.144 0.057 \n",
- "44 0.200 0.127 \n",
- "45 0.262 0.006 \n",
- "46 0.066 0.050 \n",
- "47 0.083 0.005 \n",
- "48 0.190 0.041 \n",
- "49 0.126 0.087 \n",
- "50 0.142 0.097 \n",
- "51 0.359 0.028 \n",
- "52 0.075 0.064 \n",
- "53 0.175 0.056 \n",
- "54 0.103 0.161 \n",
- "55 0.107 0.028 \n",
- "56 0.215 0.060 \n",
- "57 0.069 0.140 \n",
- "58 0.246 0.078 \n",
- "59 0.146 0.096 \n",
- "60 0.137 0.064 \n",
- "61 0.081 0.020 \n",
- "62 0.184 0.080 \n",
- "63 0.191 0.162 \n",
- "64 0.083 0.027 \n",
- "65 0.047 0.025 \n",
- "66 0.220 0.098 \n",
- "67 0.082 0.031 \n",
- "68 0.117 0.107 \n",
- "69 0.137 0.039 \n",
- "70 0.181 0.000 \n",
- "71 0.133 0.152 \n",
- "72 0.142 0.080 \n",
- "73 0.230 0.144 \n",
- "74 0.119 0.022 \n",
- "75 0.258 0.287 \n",
- "76 0.113 0.101 \n",
- "77 0.263 0.006 \n",
- "78 0.083 0.106 \n",
- "79 0.260 0.024 \n",
- "80 0.094 0.142 \n",
- "81 0.000 0.034 \n",
- "82 0.235 0.038 \n",
- "83 0.185 0.034 \n",
- "84 0.215 0.041 \n",
- "85 0.300 0.023 \n",
- "86 0.244 0.028 \n",
- "87 0.073 0.114 \n",
- "88 0.036 0.076 \n",
- "89 0.035 0.182 \n",
- "90 0.166 0.027 \n",
- "91 0.498 0.028 \n",
- "92 0.058 0.100 \n",
- "93 0.147 0.073 \n",
- "94 0.370 0.167 \n",
- "95 0.187 0.037 \n",
- "96 0.081 0.004 \n",
- "97 0.245 0.040 \n",
- "98 0.154 0.090 \n",
- "99 0.285 0.089 \n",
- "100 0.110 0.130 \n",
- "101 0.175 0.082 \n",
- "102 0.105 0.093 \n",
- "103 0.043 0.055 \n",
- "104 0.266 0.164 \n",
- "105 0.130 0.055 \n",
- "106 0.178 0.027 \n",
- "107 0.064 0.047 \n",
- "108 0.232 0.062 \n",
- "109 0.103 0.066 \n",
- "110 0.153 0.072 \n",
- "111 0.243 0.270 \n",
- "112 0.070 0.056 \n",
- "113 0.188 0.102 \n",
- "114 0.177 0.113 \n",
- "115 0.095 0.064 \n",
- "116 0.270 0.125 \n",
- "117 0.207 0.086 \n",
- "118 0.043 0.164 \n",
- "119 0.269 0.167 \n",
- "120 0.372 0.053 \n",
- "121 0.106 0.088 \n",
- "122 0.197 0.138 \n",
- "123 0.059 0.055 \n",
- "124 0.166 0.143 \n",
- "125 0.148 0.089 \n",
- "126 0.212 0.053 \n",
- "127 0.153 0.052 \n",
- "128 0.252 0.045 \n",
- "129 0.244 0.047 \n",
- "130 0.566 0.172 \n",
- "131 0.198 0.078 \n",
- "132 0.187 0.010 \n",
- "133 0.209 0.100 \n",
- "134 0.074 0.135 \n",
- "135 0.252 0.060 \n",
- "136 0.076 0.067 \n",
- "137 0.247 0.087 \n",
- "138 0.177 0.085 \n",
- "139 0.200 0.085 \n",
- "140 0.233 0.033 \n",
- "141 0.275 0.078 \n",
- "142 0.169 0.041 \n",
- "143 0.107 0.093 \n",
- "144 0.176 0.180 \n",
- "145 0.151 0.089 \n",
- "146 0.419 0.110 \n",
- "147 0.025 0.100 \n",
- "148 0.331 0.141 \n",
- "149 0.218 0.089 \n",
- "150 0.108 0.077 \n",
- "151 0.217 0.411 \n",
- "152 0.276 0.147 \n",
- "153 0.158 0.025 \n",
- "154 0.235 0.035 \n",
- "155 0.202 0.091 "
- ]
- },
- "execution_count": 1,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Import libraries require\n",
- "\n",
- "import numpy as np\n",
- "import pandas as pd\n",
- "import seaborn as sns\n",
- "import matplotlib.pyplot as plt\n",
- "\n",
- "%matplotlib inline\n",
- "sns.set(color_codes = True)\n",
- "# Load the data into data frame according to the file where you save it\n",
- "\n",
- "happiness = pd.read_csv(\"c://2019.csv\")\n",
- "\n",
- "# Let data frame to display all the data\n",
- "\n",
- "pd.set_option(\"display.max_rows\", None)\n",
- "\n",
- "# show the data\n",
- "happiness"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "
\n",
- " \n",
- " \n",
- " | \n",
- " Country | \n",
- " Score | \n",
- " Economy (GDP per Capita) | \n",
- " Social Support | \n",
- " Health (Life Expectancy) | \n",
- " Freedom | \n",
- " Generosity | \n",
- " Perception of Corruption | \n",
- "
\n",
- " \n",
- " \n",
- " \n",
- " 0 | \n",
- " Finland | \n",
- " 7.769 | \n",
- " 1.340 | \n",
- " 1.587 | \n",
- " 0.986 | \n",
- " 0.596 | \n",
- " 0.153 | \n",
- " 0.393 | \n",
- "
\n",
- " \n",
- " 1 | \n",
- " Denmark | \n",
- " 7.600 | \n",
- " 1.383 | \n",
- " 1.573 | \n",
- " 0.996 | \n",
- " 0.592 | \n",
- " 0.252 | \n",
- " 0.410 | \n",
- "
\n",
- " \n",
- " 2 | \n",
- " Norway | \n",
- " 7.554 | \n",
- " 1.488 | \n",
- " 1.582 | \n",
- " 1.028 | \n",
- " 0.603 | \n",
- " 0.271 | \n",
- " 0.341 | \n",
- "
\n",
- " \n",
- " 3 | \n",
- " Iceland | \n",
- " 7.494 | \n",
- " 1.380 | \n",
- " 1.624 | \n",
- " 1.026 | \n",
- " 0.591 | \n",
- " 0.354 | \n",
- " 0.118 | \n",
- "
\n",
- " \n",
- " 4 | \n",
- " Netherlands | \n",
- " 7.488 | \n",
- " 1.396 | \n",
- " 1.522 | \n",
- " 0.999 | \n",
- " 0.557 | \n",
- " 0.322 | \n",
- " 0.298 | \n",
- "
\n",
- " \n",
- " 5 | \n",
- " Switzerland | \n",
- " 7.480 | \n",
- " 1.452 | \n",
- " 1.526 | \n",
- " 1.052 | \n",
- " 0.572 | \n",
- " 0.263 | \n",
- " 0.343 | \n",
- "
\n",
- " \n",
- " 6 | \n",
- " Sweden | \n",
- " 7.343 | \n",
- " 1.387 | \n",
- " 1.487 | \n",
- " 1.009 | \n",
- " 0.574 | \n",
- " 0.267 | \n",
- " 0.373 | \n",
- "
\n",
- " \n",
- " 7 | \n",
- " New Zealand | \n",
- " 7.307 | \n",
- " 1.303 | \n",
- " 1.557 | \n",
- " 1.026 | \n",
- " 0.585 | \n",
- " 0.330 | \n",
- " 0.380 | \n",
- "
\n",
- " \n",
- " 8 | \n",
- " Canada | \n",
- " 7.278 | \n",
- " 1.365 | \n",
- " 1.505 | \n",
- " 1.039 | \n",
- " 0.584 | \n",
- " 0.285 | \n",
- " 0.308 | \n",
- "
\n",
- " \n",
- " 9 | \n",
- " Austria | \n",
- " 7.246 | \n",
- " 1.376 | \n",
- " 1.475 | \n",
- " 1.016 | \n",
- " 0.532 | \n",
- " 0.244 | \n",
- " 0.226 | \n",
- "
\n",
- " \n",
- " 10 | \n",
- " Australia | \n",
- " 7.228 | \n",
- " 1.372 | \n",
- " 1.548 | \n",
- " 1.036 | \n",
- " 0.557 | \n",
- " 0.332 | \n",
- " 0.290 | \n",
- "
\n",
- " \n",
- " 11 | \n",
- " Costa Rica | \n",
- " 7.167 | \n",
- " 1.034 | \n",
- " 1.441 | \n",
- " 0.963 | \n",
- " 0.558 | \n",
- " 0.144 | \n",
- " 0.093 | \n",
- "
\n",
- " \n",
- " 12 | \n",
- " Israel | \n",
- " 7.139 | \n",
- " 1.276 | \n",
- " 1.455 | \n",
- " 1.029 | \n",
- " 0.371 | \n",
- " 0.261 | \n",
- " 0.082 | \n",
- "
\n",
- " \n",
- " 13 | \n",
- " Luxembourg | \n",
- " 7.090 | \n",
- " 1.609 | \n",
- " 1.479 | \n",
- " 1.012 | \n",
- " 0.526 | \n",
- " 0.194 | \n",
- " 0.316 | \n",
- "
\n",
- " \n",
- " 14 | \n",
- " United Kingdom | \n",
- " 7.054 | \n",
- " 1.333 | \n",
- " 1.538 | \n",
- " 0.996 | \n",
- " 0.450 | \n",
- " 0.348 | \n",
- " 0.278 | \n",
- "
\n",
- " \n",
- " 15 | \n",
- " Ireland | \n",
- " 7.021 | \n",
- " 1.499 | \n",
- " 1.553 | \n",
- " 0.999 | \n",
- " 0.516 | \n",
- " 0.298 | \n",
- " 0.310 | \n",
- "
\n",
- " \n",
- " 16 | \n",
- " Germany | \n",
- " 6.985 | \n",
- " 1.373 | \n",
- " 1.454 | \n",
- " 0.987 | \n",
- " 0.495 | \n",
- " 0.261 | \n",
- " 0.265 | \n",
- "
\n",
- " \n",
- " 17 | \n",
- " Belgium | \n",
- " 6.923 | \n",
- " 1.356 | \n",
- " 1.504 | \n",
- " 0.986 | \n",
- " 0.473 | \n",
- " 0.160 | \n",
- " 0.210 | \n",
- "
\n",
- " \n",
- " 18 | \n",
- " United States | \n",
- " 6.892 | \n",
- " 1.433 | \n",
- " 1.457 | \n",
- " 0.874 | \n",
- " 0.454 | \n",
- " 0.280 | \n",
- " 0.128 | \n",
- "
\n",
- " \n",
- " 19 | \n",
- " Czech Republic | \n",
- " 6.852 | \n",
- " 1.269 | \n",
- " 1.487 | \n",
- " 0.920 | \n",
- " 0.457 | \n",
- " 0.046 | \n",
- " 0.036 | \n",
- "
\n",
- " \n",
- " 20 | \n",
- " United Arab Emirates | \n",
- " 6.825 | \n",
- " 1.503 | \n",
- " 1.310 | \n",
- " 0.825 | \n",
- " 0.598 | \n",
- " 0.262 | \n",
- " 0.182 | \n",
- "
\n",
- " \n",
- " 21 | \n",
- " Malta | \n",
- " 6.726 | \n",
- " 1.300 | \n",
- " 1.520 | \n",
- " 0.999 | \n",
- " 0.564 | \n",
- " 0.375 | \n",
- " 0.151 | \n",
- "
\n",
- " \n",
- " 22 | \n",
- " Mexico | \n",
- " 6.595 | \n",
- " 1.070 | \n",
- " 1.323 | \n",
- " 0.861 | \n",
- " 0.433 | \n",
- " 0.074 | \n",
- " 0.073 | \n",
- "
\n",
- " \n",
- " 23 | \n",
- " France | \n",
- " 6.592 | \n",
- " 1.324 | \n",
- " 1.472 | \n",
- " 1.045 | \n",
- " 0.436 | \n",
- " 0.111 | \n",
- " 0.183 | \n",
- "
\n",
- " \n",
- " 24 | \n",
- " Taiwan | \n",
- " 6.446 | \n",
- " 1.368 | \n",
- " 1.430 | \n",
- " 0.914 | \n",
- " 0.351 | \n",
- " 0.242 | \n",
- " 0.097 | \n",
- "
\n",
- " \n",
- " 25 | \n",
- " Chile | \n",
- " 6.444 | \n",
- " 1.159 | \n",
- " 1.369 | \n",
- " 0.920 | \n",
- " 0.357 | \n",
- " 0.187 | \n",
- " 0.056 | \n",
- "
\n",
- " \n",
- " 26 | \n",
- " Guatemala | \n",
- " 6.436 | \n",
- " 0.800 | \n",
- " 1.269 | \n",
- " 0.746 | \n",
- " 0.535 | \n",
- " 0.175 | \n",
- " 0.078 | \n",
- "
\n",
- " \n",
- " 27 | \n",
- " Saudi Arabia | \n",
- " 6.375 | \n",
- " 1.403 | \n",
- " 1.357 | \n",
- " 0.795 | \n",
- " 0.439 | \n",
- " 0.080 | \n",
- " 0.132 | \n",
- "
\n",
- " \n",
- " 28 | \n",
- " Qatar | \n",
- " 6.374 | \n",
- " 1.684 | \n",
- " 1.313 | \n",
- " 0.871 | \n",
- " 0.555 | \n",
- " 0.220 | \n",
- " 0.167 | \n",
- "
\n",
- " \n",
- " 29 | \n",
- " Spain | \n",
- " 6.354 | \n",
- " 1.286 | \n",
- " 1.484 | \n",
- " 1.062 | \n",
- " 0.362 | \n",
- " 0.153 | \n",
- " 0.079 | \n",
- "
\n",
- " \n",
- " 30 | \n",
- " Panama | \n",
- " 6.321 | \n",
- " 1.149 | \n",
- " 1.442 | \n",
- " 0.910 | \n",
- " 0.516 | \n",
- " 0.109 | \n",
- " 0.054 | \n",
- "
\n",
- " \n",
- " 31 | \n",
- " Brazil | \n",
- " 6.300 | \n",
- " 1.004 | \n",
- " 1.439 | \n",
- " 0.802 | \n",
- " 0.390 | \n",
- " 0.099 | \n",
- " 0.086 | \n",
- "
\n",
- " \n",
- " 32 | \n",
- " Uruguay | \n",
- " 6.293 | \n",
- " 1.124 | \n",
- " 1.465 | \n",
- " 0.891 | \n",
- " 0.523 | \n",
- " 0.127 | \n",
- " 0.150 | \n",
- "
\n",
- " \n",
- " 33 | \n",
- " Singapore | \n",
- " 6.262 | \n",
- " 1.572 | \n",
- " 1.463 | \n",
- " 1.141 | \n",
- " 0.556 | \n",
- " 0.271 | \n",
- " 0.453 | \n",
- "
\n",
- " \n",
- " 34 | \n",
- " El Salvador | \n",
- " 6.253 | \n",
- " 0.794 | \n",
- " 1.242 | \n",
- " 0.789 | \n",
- " 0.430 | \n",
- " 0.093 | \n",
- " 0.074 | \n",
- "
\n",
- " \n",
- " 35 | \n",
- " Italy | \n",
- " 6.223 | \n",
- " 1.294 | \n",
- " 1.488 | \n",
- " 1.039 | \n",
- " 0.231 | \n",
- " 0.158 | \n",
- " 0.030 | \n",
- "
\n",
- " \n",
- " 36 | \n",
- " Bahrain | \n",
- " 6.199 | \n",
- " 1.362 | \n",
- " 1.368 | \n",
- " 0.871 | \n",
- " 0.536 | \n",
- " 0.255 | \n",
- " 0.110 | \n",
- "
\n",
- " \n",
- " 37 | \n",
- " Slovakia | \n",
- " 6.198 | \n",
- " 1.246 | \n",
- " 1.504 | \n",
- " 0.881 | \n",
- " 0.334 | \n",
- " 0.121 | \n",
- " 0.014 | \n",
- "
\n",
- " \n",
- " 38 | \n",
- " Trinidad & Tobago | \n",
- " 6.192 | \n",
- " 1.231 | \n",
- " 1.477 | \n",
- " 0.713 | \n",
- " 0.489 | \n",
- " 0.185 | \n",
- " 0.016 | \n",
- "
\n",
- " \n",
- " 39 | \n",
- " Poland | \n",
- " 6.182 | \n",
- " 1.206 | \n",
- " 1.438 | \n",
- " 0.884 | \n",
- " 0.483 | \n",
- " 0.117 | \n",
- " 0.050 | \n",
- "
\n",
- " \n",
- " 40 | \n",
- " Uzbekistan | \n",
- " 6.174 | \n",
- " 0.745 | \n",
- " 1.529 | \n",
- " 0.756 | \n",
- " 0.631 | \n",
- " 0.322 | \n",
- " 0.240 | \n",
- "
\n",
- " \n",
- " 41 | \n",
- " Lithuania | \n",
- " 6.149 | \n",
- " 1.238 | \n",
- " 1.515 | \n",
- " 0.818 | \n",
- " 0.291 | \n",
- " 0.043 | \n",
- " 0.042 | \n",
- "
\n",
- " \n",
- " 42 | \n",
- " Colombia | \n",
- " 6.125 | \n",
- " 0.985 | \n",
- " 1.410 | \n",
- " 0.841 | \n",
- " 0.470 | \n",
- " 0.099 | \n",
- " 0.034 | \n",
- "
\n",
- " \n",
- " 43 | \n",
- " Slovenia | \n",
- " 6.118 | \n",
- " 1.258 | \n",
- " 1.523 | \n",
- " 0.953 | \n",
- " 0.564 | \n",
- " 0.144 | \n",
- " 0.057 | \n",
- "
\n",
- " \n",
- " 44 | \n",
- " Nicaragua | \n",
- " 6.105 | \n",
- " 0.694 | \n",
- " 1.325 | \n",
- " 0.835 | \n",
- " 0.435 | \n",
- " 0.200 | \n",
- " 0.127 | \n",
- "
\n",
- " \n",
- " 45 | \n",
- " Kosovo | \n",
- " 6.100 | \n",
- " 0.882 | \n",
- " 1.232 | \n",
- " 0.758 | \n",
- " 0.489 | \n",
- " 0.262 | \n",
- " 0.006 | \n",
- "
\n",
- " \n",
- " 46 | \n",
- " Argentina | \n",
- " 6.086 | \n",
- " 1.092 | \n",
- " 1.432 | \n",
- " 0.881 | \n",
- " 0.471 | \n",
- " 0.066 | \n",
- " 0.050 | \n",
- "
\n",
- " \n",
- " 47 | \n",
- " Romania | \n",
- " 6.070 | \n",
- " 1.162 | \n",
- " 1.232 | \n",
- " 0.825 | \n",
- " 0.462 | \n",
- " 0.083 | \n",
- " 0.005 | \n",
- "
\n",
- " \n",
- " 48 | \n",
- " Cyprus | \n",
- " 6.046 | \n",
- " 1.263 | \n",
- " 1.223 | \n",
- " 1.042 | \n",
- " 0.406 | \n",
- " 0.190 | \n",
- " 0.041 | \n",
- "
\n",
- " \n",
- " 49 | \n",
- " Ecuador | \n",
- " 6.028 | \n",
- " 0.912 | \n",
- " 1.312 | \n",
- " 0.868 | \n",
- " 0.498 | \n",
- " 0.126 | \n",
- " 0.087 | \n",
- "
\n",
- " \n",
- " 50 | \n",
- " Kuwait | \n",
- " 6.021 | \n",
- " 1.500 | \n",
- " 1.319 | \n",
- " 0.808 | \n",
- " 0.493 | \n",
- " 0.142 | \n",
- " 0.097 | \n",
- "
\n",
- " \n",
- " 51 | \n",
- " Thailand | \n",
- " 6.008 | \n",
- " 1.050 | \n",
- " 1.409 | \n",
- " 0.828 | \n",
- " 0.557 | \n",
- " 0.359 | \n",
- " 0.028 | \n",
- "
\n",
- " \n",
- " 52 | \n",
- " Latvia | \n",
- " 5.940 | \n",
- " 1.187 | \n",
- " 1.465 | \n",
- " 0.812 | \n",
- " 0.264 | \n",
- " 0.075 | \n",
- " 0.064 | \n",
- "
\n",
- " \n",
- " 53 | \n",
- " South Korea | \n",
- " 5.895 | \n",
- " 1.301 | \n",
- " 1.219 | \n",
- " 1.036 | \n",
- " 0.159 | \n",
- " 0.175 | \n",
- " 0.056 | \n",
- "
\n",
- " \n",
- " 54 | \n",
- " Estonia | \n",
- " 5.893 | \n",
- " 1.237 | \n",
- " 1.528 | \n",
- " 0.874 | \n",
- " 0.495 | \n",
- " 0.103 | \n",
- " 0.161 | \n",
- "
\n",
- " \n",
- " 55 | \n",
- " Jamaica | \n",
- " 5.890 | \n",
- " 0.831 | \n",
- " 1.478 | \n",
- " 0.831 | \n",
- " 0.490 | \n",
- " 0.107 | \n",
- " 0.028 | \n",
- "
\n",
- " \n",
- " 56 | \n",
- " Mauritius | \n",
- " 5.888 | \n",
- " 1.120 | \n",
- " 1.402 | \n",
- " 0.798 | \n",
- " 0.498 | \n",
- " 0.215 | \n",
- " 0.060 | \n",
- "
\n",
- " \n",
- " 57 | \n",
- " Japan | \n",
- " 5.886 | \n",
- " 1.327 | \n",
- " 1.419 | \n",
- " 1.088 | \n",
- " 0.445 | \n",
- " 0.069 | \n",
- " 0.140 | \n",
- "
\n",
- " \n",
- " 58 | \n",
- " Honduras | \n",
- " 5.860 | \n",
- " 0.642 | \n",
- " 1.236 | \n",
- " 0.828 | \n",
- " 0.507 | \n",
- " 0.246 | \n",
- " 0.078 | \n",
- "
\n",
- " \n",
- " 59 | \n",
- " Kazakhstan | \n",
- " 5.809 | \n",
- " 1.173 | \n",
- " 1.508 | \n",
- " 0.729 | \n",
- " 0.410 | \n",
- " 0.146 | \n",
- " 0.096 | \n",
- "
\n",
- " \n",
- " 60 | \n",
- " Bolivia | \n",
- " 5.779 | \n",
- " 0.776 | \n",
- " 1.209 | \n",
- " 0.706 | \n",
- " 0.511 | \n",
- " 0.137 | \n",
- " 0.064 | \n",
- "
\n",
- " \n",
- " 61 | \n",
- " Hungary | \n",
- " 5.758 | \n",
- " 1.201 | \n",
- " 1.410 | \n",
- " 0.828 | \n",
- " 0.199 | \n",
- " 0.081 | \n",
- " 0.020 | \n",
- "
\n",
- " \n",
- " 62 | \n",
- " Paraguay | \n",
- " 5.743 | \n",
- " 0.855 | \n",
- " 1.475 | \n",
- " 0.777 | \n",
- " 0.514 | \n",
- " 0.184 | \n",
- " 0.080 | \n",
- "
\n",
- " \n",
- " 63 | \n",
- " Northern Cyprus | \n",
- " 5.718 | \n",
- " 1.263 | \n",
- " 1.252 | \n",
- " 1.042 | \n",
- " 0.417 | \n",
- " 0.191 | \n",
- " 0.162 | \n",
- "
\n",
- " \n",
- " 64 | \n",
- " Peru | \n",
- " 5.697 | \n",
- " 0.960 | \n",
- " 1.274 | \n",
- " 0.854 | \n",
- " 0.455 | \n",
- " 0.083 | \n",
- " 0.027 | \n",
- "
\n",
- " \n",
- " 65 | \n",
- " Portugal | \n",
- " 5.693 | \n",
- " 1.221 | \n",
- " 1.431 | \n",
- " 0.999 | \n",
- " 0.508 | \n",
- " 0.047 | \n",
- " 0.025 | \n",
- "
\n",
- " \n",
- " 66 | \n",
- " Pakistan | \n",
- " 5.653 | \n",
- " 0.677 | \n",
- " 0.886 | \n",
- " 0.535 | \n",
- " 0.313 | \n",
- " 0.220 | \n",
- " 0.098 | \n",
- "
\n",
- " \n",
- " 67 | \n",
- " Russia | \n",
- " 5.648 | \n",
- " 1.183 | \n",
- " 1.452 | \n",
- " 0.726 | \n",
- " 0.334 | \n",
- " 0.082 | \n",
- " 0.031 | \n",
- "
\n",
- " \n",
- " 68 | \n",
- " Philippines | \n",
- " 5.631 | \n",
- " 0.807 | \n",
- " 1.293 | \n",
- " 0.657 | \n",
- " 0.558 | \n",
- " 0.117 | \n",
- " 0.107 | \n",
- "
\n",
- " \n",
- " 69 | \n",
- " Serbia | \n",
- " 5.603 | \n",
- " 1.004 | \n",
- " 1.383 | \n",
- " 0.854 | \n",
- " 0.282 | \n",
- " 0.137 | \n",
- " 0.039 | \n",
- "
\n",
- " \n",
- " 70 | \n",
- " Moldova | \n",
- " 5.529 | \n",
- " 0.685 | \n",
- " 1.328 | \n",
- " 0.739 | \n",
- " 0.245 | \n",
- " 0.181 | \n",
- " 0.000 | \n",
- "
\n",
- " \n",
- " 71 | \n",
- " Libya | \n",
- " 5.525 | \n",
- " 1.044 | \n",
- " 1.303 | \n",
- " 0.673 | \n",
- " 0.416 | \n",
- " 0.133 | \n",
- " 0.152 | \n",
- "
\n",
- " \n",
- " 72 | \n",
- " Montenegro | \n",
- " 5.523 | \n",
- " 1.051 | \n",
- " 1.361 | \n",
- " 0.871 | \n",
- " 0.197 | \n",
- " 0.142 | \n",
- " 0.080 | \n",
- "
\n",
- " \n",
- " 73 | \n",
- " Tajikistan | \n",
- " 5.467 | \n",
- " 0.493 | \n",
- " 1.098 | \n",
- " 0.718 | \n",
- " 0.389 | \n",
- " 0.230 | \n",
- " 0.144 | \n",
- "
\n",
- " \n",
- " 74 | \n",
- " Croatia | \n",
- " 5.432 | \n",
- " 1.155 | \n",
- " 1.266 | \n",
- " 0.914 | \n",
- " 0.296 | \n",
- " 0.119 | \n",
- " 0.022 | \n",
- "
\n",
- " \n",
- " 75 | \n",
- " Hong Kong | \n",
- " 5.430 | \n",
- " 1.438 | \n",
- " 1.277 | \n",
- " 1.122 | \n",
- " 0.440 | \n",
- " 0.258 | \n",
- " 0.287 | \n",
- "
\n",
- " \n",
- " 76 | \n",
- " Dominican Republic | \n",
- " 5.425 | \n",
- " 1.015 | \n",
- " 1.401 | \n",
- " 0.779 | \n",
- " 0.497 | \n",
- " 0.113 | \n",
- " 0.101 | \n",
- "
\n",
- " \n",
- " 77 | \n",
- " Bosnia and Herzegovina | \n",
- " 5.386 | \n",
- " 0.945 | \n",
- " 1.212 | \n",
- " 0.845 | \n",
- " 0.212 | \n",
- " 0.263 | \n",
- " 0.006 | \n",
- "
\n",
- " \n",
- " 78 | \n",
- " Turkey | \n",
- " 5.373 | \n",
- " 1.183 | \n",
- " 1.360 | \n",
- " 0.808 | \n",
- " 0.195 | \n",
- " 0.083 | \n",
- " 0.106 | \n",
- "
\n",
- " \n",
- " 79 | \n",
- " Malaysia | \n",
- " 5.339 | \n",
- " 1.221 | \n",
- " 1.171 | \n",
- " 0.828 | \n",
- " 0.508 | \n",
- " 0.260 | \n",
- " 0.024 | \n",
- "
\n",
- " \n",
- " 80 | \n",
- " Belarus | \n",
- " 5.323 | \n",
- " 1.067 | \n",
- " 1.465 | \n",
- " 0.789 | \n",
- " 0.235 | \n",
- " 0.094 | \n",
- " 0.142 | \n",
- "
\n",
- " \n",
- " 81 | \n",
- " Greece | \n",
- " 5.287 | \n",
- " 1.181 | \n",
- " 1.156 | \n",
- " 0.999 | \n",
- " 0.067 | \n",
- " 0.000 | \n",
- " 0.034 | \n",
- "
\n",
- " \n",
- " 82 | \n",
- " Mongolia | \n",
- " 5.285 | \n",
- " 0.948 | \n",
- " 1.531 | \n",
- " 0.667 | \n",
- " 0.317 | \n",
- " 0.235 | \n",
- " 0.038 | \n",
- "
\n",
- " \n",
- " 83 | \n",
- " North Macedonia | \n",
- " 5.274 | \n",
- " 0.983 | \n",
- " 1.294 | \n",
- " 0.838 | \n",
- " 0.345 | \n",
- " 0.185 | \n",
- " 0.034 | \n",
- "
\n",
- " \n",
- " 84 | \n",
- " Nigeria | \n",
- " 5.265 | \n",
- " 0.696 | \n",
- " 1.111 | \n",
- " 0.245 | \n",
- " 0.426 | \n",
- " 0.215 | \n",
- " 0.041 | \n",
- "
\n",
- " \n",
- " 85 | \n",
- " Kyrgyzstan | \n",
- " 5.261 | \n",
- " 0.551 | \n",
- " 1.438 | \n",
- " 0.723 | \n",
- " 0.508 | \n",
- " 0.300 | \n",
- " 0.023 | \n",
- "
\n",
- " \n",
- " 87 | \n",
- " Algeria | \n",
- " 5.211 | \n",
- " 1.002 | \n",
- " 1.160 | \n",
- " 0.785 | \n",
- " 0.086 | \n",
- " 0.073 | \n",
- " 0.114 | \n",
- "
\n",
- " \n",
- " 88 | \n",
- " Morocco | \n",
- " 5.208 | \n",
- " 0.801 | \n",
- " 0.782 | \n",
- " 0.782 | \n",
- " 0.418 | \n",
- " 0.036 | \n",
- " 0.076 | \n",
- "
\n",
- " \n",
- " 89 | \n",
- " Azerbaijan | \n",
- " 5.208 | \n",
- " 1.043 | \n",
- " 1.147 | \n",
- " 0.769 | \n",
- " 0.351 | \n",
- " 0.035 | \n",
- " 0.182 | \n",
- "
\n",
- " \n",
- " 90 | \n",
- " Lebanon | \n",
- " 5.197 | \n",
- " 0.987 | \n",
- " 1.224 | \n",
- " 0.815 | \n",
- " 0.216 | \n",
- " 0.166 | \n",
- " 0.027 | \n",
- "
\n",
- " \n",
- " 91 | \n",
- " Indonesia | \n",
- " 5.192 | \n",
- " 0.931 | \n",
- " 1.203 | \n",
- " 0.660 | \n",
- " 0.491 | \n",
- " 0.498 | \n",
- " 0.028 | \n",
- "
\n",
- " \n",
- " 92 | \n",
- " China | \n",
- " 5.191 | \n",
- " 1.029 | \n",
- " 1.125 | \n",
- " 0.893 | \n",
- " 0.521 | \n",
- " 0.058 | \n",
- " 0.100 | \n",
- "
\n",
- " \n",
- " 93 | \n",
- " Vietnam | \n",
- " 5.175 | \n",
- " 0.741 | \n",
- " 1.346 | \n",
- " 0.851 | \n",
- " 0.543 | \n",
- " 0.147 | \n",
- " 0.073 | \n",
- "
\n",
- " \n",
- " 94 | \n",
- " Bhutan | \n",
- " 5.082 | \n",
- " 0.813 | \n",
- " 1.321 | \n",
- " 0.604 | \n",
- " 0.457 | \n",
- " 0.370 | \n",
- " 0.167 | \n",
- "
\n",
- " \n",
- " 95 | \n",
- " Cameroon | \n",
- " 5.044 | \n",
- " 0.549 | \n",
- " 0.910 | \n",
- " 0.331 | \n",
- " 0.381 | \n",
- " 0.187 | \n",
- " 0.037 | \n",
- "
\n",
- " \n",
- " 97 | \n",
- " Ghana | \n",
- " 4.996 | \n",
- " 0.611 | \n",
- " 0.868 | \n",
- " 0.486 | \n",
- " 0.381 | \n",
- " 0.245 | \n",
- " 0.040 | \n",
- "
\n",
- " \n",
- " 99 | \n",
- " Nepal | \n",
- " 4.913 | \n",
- " 0.446 | \n",
- " 1.226 | \n",
- " 0.677 | \n",
- " 0.439 | \n",
- " 0.285 | \n",
- " 0.089 | \n",
- "
\n",
- " \n",
- " 100 | \n",
- " Jordan | \n",
- " 4.906 | \n",
- " 0.837 | \n",
- " 1.225 | \n",
- " 0.815 | \n",
- " 0.383 | \n",
- " 0.110 | \n",
- " 0.130 | \n",
- "
\n",
- " \n",
- " 101 | \n",
- " Benin | \n",
- " 4.883 | \n",
- " 0.393 | \n",
- " 0.437 | \n",
- " 0.397 | \n",
- " 0.349 | \n",
- " 0.175 | \n",
- " 0.082 | \n",
- "
\n",
- " \n",
- " 102 | \n",
- " Congo (Brazzaville) | \n",
- " 4.812 | \n",
- " 0.673 | \n",
- " 0.799 | \n",
- " 0.508 | \n",
- " 0.372 | \n",
- " 0.105 | \n",
- " 0.093 | \n",
- "
\n",
- " \n",
- " 103 | \n",
- " Gabon | \n",
- " 4.799 | \n",
- " 1.057 | \n",
- " 1.183 | \n",
- " 0.571 | \n",
- " 0.295 | \n",
- " 0.043 | \n",
- " 0.055 | \n",
- "
\n",
- " \n",
- " 104 | \n",
- " Laos | \n",
- " 4.796 | \n",
- " 0.764 | \n",
- " 1.030 | \n",
- " 0.551 | \n",
- " 0.547 | \n",
- " 0.266 | \n",
- " 0.164 | \n",
- "
\n",
- " \n",
- " 105 | \n",
- " South Africa | \n",
- " 4.722 | \n",
- " 0.960 | \n",
- " 1.351 | \n",
- " 0.469 | \n",
- " 0.389 | \n",
- " 0.130 | \n",
- " 0.055 | \n",
- "
\n",
- " \n",
- " 106 | \n",
- " Albania | \n",
- " 4.719 | \n",
- " 0.947 | \n",
- " 0.848 | \n",
- " 0.874 | \n",
- " 0.383 | \n",
- " 0.178 | \n",
- " 0.027 | \n",
- "
\n",
- " \n",
- " 107 | \n",
- " Venezuela | \n",
- " 4.707 | \n",
- " 0.960 | \n",
- " 1.427 | \n",
- " 0.805 | \n",
- " 0.154 | \n",
- " 0.064 | \n",
- " 0.047 | \n",
- "
\n",
- " \n",
- " 108 | \n",
- " Cambodia | \n",
- " 4.700 | \n",
- " 0.574 | \n",
- " 1.122 | \n",
- " 0.637 | \n",
- " 0.609 | \n",
- " 0.232 | \n",
- " 0.062 | \n",
- "
\n",
- " \n",
- " 109 | \n",
- " Palestinian Territories | \n",
- " 4.696 | \n",
- " 0.657 | \n",
- " 1.247 | \n",
- " 0.672 | \n",
- " 0.225 | \n",
- " 0.103 | \n",
- " 0.066 | \n",
- "
\n",
- " \n",
- " 110 | \n",
- " Senegal | \n",
- " 4.681 | \n",
- " 0.450 | \n",
- " 1.134 | \n",
- " 0.571 | \n",
- " 0.292 | \n",
- " 0.153 | \n",
- " 0.072 | \n",
- "
\n",
- " \n",
- " 112 | \n",
- " Namibia | \n",
- " 4.639 | \n",
- " 0.879 | \n",
- " 1.313 | \n",
- " 0.477 | \n",
- " 0.401 | \n",
- " 0.070 | \n",
- " 0.056 | \n",
- "
\n",
- " \n",
- " 113 | \n",
- " Niger | \n",
- " 4.628 | \n",
- " 0.138 | \n",
- " 0.774 | \n",
- " 0.366 | \n",
- " 0.318 | \n",
- " 0.188 | \n",
- " 0.102 | \n",
- "
\n",
- " \n",
- " 114 | \n",
- " Burkina Faso | \n",
- " 4.587 | \n",
- " 0.331 | \n",
- " 1.056 | \n",
- " 0.380 | \n",
- " 0.255 | \n",
- " 0.177 | \n",
- " 0.113 | \n",
- "
\n",
- " \n",
- " 115 | \n",
- " Armenia | \n",
- " 4.559 | \n",
- " 0.850 | \n",
- " 1.055 | \n",
- " 0.815 | \n",
- " 0.283 | \n",
- " 0.095 | \n",
- " 0.064 | \n",
- "
\n",
- " \n",
- " 116 | \n",
- " Iran | \n",
- " 4.548 | \n",
- " 1.100 | \n",
- " 0.842 | \n",
- " 0.785 | \n",
- " 0.305 | \n",
- " 0.270 | \n",
- " 0.125 | \n",
- "
\n",
- " \n",
- " 118 | \n",
- " Georgia | \n",
- " 4.519 | \n",
- " 0.886 | \n",
- " 0.666 | \n",
- " 0.752 | \n",
- " 0.346 | \n",
- " 0.043 | \n",
- " 0.164 | \n",
- "
\n",
- " \n",
- " 120 | \n",
- " Kenya | \n",
- " 4.509 | \n",
- " 0.512 | \n",
- " 0.983 | \n",
- " 0.581 | \n",
- " 0.431 | \n",
- " 0.372 | \n",
- " 0.053 | \n",
- "
\n",
- " \n",
- " 121 | \n",
- " Mauritania | \n",
- " 4.490 | \n",
- " 0.570 | \n",
- " 1.167 | \n",
- " 0.489 | \n",
- " 0.066 | \n",
- " 0.106 | \n",
- " 0.088 | \n",
- "
\n",
- " \n",
- " 122 | \n",
- " Mozambique | \n",
- " 4.466 | \n",
- " 0.204 | \n",
- " 0.986 | \n",
- " 0.390 | \n",
- " 0.494 | \n",
- " 0.197 | \n",
- " 0.138 | \n",
- "
\n",
- " \n",
- " 123 | \n",
- " Tunisia | \n",
- " 4.461 | \n",
- " 0.921 | \n",
- " 1.000 | \n",
- " 0.815 | \n",
- " 0.167 | \n",
- " 0.059 | \n",
- " 0.055 | \n",
- "
\n",
- " \n",
- " 124 | \n",
- " Bangladesh | \n",
- " 4.456 | \n",
- " 0.562 | \n",
- " 0.928 | \n",
- " 0.723 | \n",
- " 0.527 | \n",
- " 0.166 | \n",
- " 0.143 | \n",
- "
\n",
- " \n",
- " 126 | \n",
- " Congo (Kinshasa) | \n",
- " 4.418 | \n",
- " 0.094 | \n",
- " 1.125 | \n",
- " 0.357 | \n",
- " 0.269 | \n",
- " 0.212 | \n",
- " 0.053 | \n",
- "
\n",
- " \n",
- " 127 | \n",
- " Mali | \n",
- " 4.390 | \n",
- " 0.385 | \n",
- " 1.105 | \n",
- " 0.308 | \n",
- " 0.327 | \n",
- " 0.153 | \n",
- " 0.052 | \n",
- "
\n",
- " \n",
- " 128 | \n",
- " Sierra Leone | \n",
- " 4.374 | \n",
- " 0.268 | \n",
- " 0.841 | \n",
- " 0.242 | \n",
- " 0.309 | \n",
- " 0.252 | \n",
- " 0.045 | \n",
- "
\n",
- " \n",
- " 129 | \n",
- " Sri Lanka | \n",
- " 4.366 | \n",
- " 0.949 | \n",
- " 1.265 | \n",
- " 0.831 | \n",
- " 0.470 | \n",
- " 0.244 | \n",
- " 0.047 | \n",
- "
\n",
- " \n",
- " 130 | \n",
- " Myanmar | \n",
- " 4.360 | \n",
- " 0.710 | \n",
- " 1.181 | \n",
- " 0.555 | \n",
- " 0.525 | \n",
- " 0.566 | \n",
- " 0.172 | \n",
- "
\n",
- " \n",
- " 131 | \n",
- " Chad | \n",
- " 4.350 | \n",
- " 0.350 | \n",
- " 0.766 | \n",
- " 0.192 | \n",
- " 0.174 | \n",
- " 0.198 | \n",
- " 0.078 | \n",
- "
\n",
- " \n",
- " 132 | \n",
- " Ukraine | \n",
- " 4.332 | \n",
- " 0.820 | \n",
- " 1.390 | \n",
- " 0.739 | \n",
- " 0.178 | \n",
- " 0.187 | \n",
- " 0.010 | \n",
- "
\n",
- " \n",
- " 133 | \n",
- " Ethiopia | \n",
- " 4.286 | \n",
- " 0.336 | \n",
- " 1.033 | \n",
- " 0.532 | \n",
- " 0.344 | \n",
- " 0.209 | \n",
- " 0.100 | \n",
- "
\n",
- " \n",
- " 135 | \n",
- " Uganda | \n",
- " 4.189 | \n",
- " 0.332 | \n",
- " 1.069 | \n",
- " 0.443 | \n",
- " 0.356 | \n",
- " 0.252 | \n",
- " 0.060 | \n",
- "
\n",
- " \n",
- " 136 | \n",
- " Egypt | \n",
- " 4.166 | \n",
- " 0.913 | \n",
- " 1.039 | \n",
- " 0.644 | \n",
- " 0.241 | \n",
- " 0.076 | \n",
- " 0.067 | \n",
- "
\n",
- " \n",
- " 137 | \n",
- " Zambia | \n",
- " 4.107 | \n",
- " 0.578 | \n",
- " 1.058 | \n",
- " 0.426 | \n",
- " 0.431 | \n",
- " 0.247 | \n",
- " 0.087 | \n",
- "
\n",
- " \n",
- " 138 | \n",
- " Togo | \n",
- " 4.085 | \n",
- " 0.275 | \n",
- " 0.572 | \n",
- " 0.410 | \n",
- " 0.293 | \n",
- " 0.177 | \n",
- " 0.085 | \n",
- "
\n",
- " \n",
- " 139 | \n",
- " India | \n",
- " 4.015 | \n",
- " 0.755 | \n",
- " 0.765 | \n",
- " 0.588 | \n",
- " 0.498 | \n",
- " 0.200 | \n",
- " 0.085 | \n",
- "
\n",
- " \n",
- " 140 | \n",
- " Liberia | \n",
- " 3.975 | \n",
- " 0.073 | \n",
- " 0.922 | \n",
- " 0.443 | \n",
- " 0.370 | \n",
- " 0.233 | \n",
- " 0.033 | \n",
- "
\n",
- " \n",
- " 141 | \n",
- " Comoros | \n",
- " 3.973 | \n",
- " 0.274 | \n",
- " 0.757 | \n",
- " 0.505 | \n",
- " 0.142 | \n",
- " 0.275 | \n",
- " 0.078 | \n",
- "
\n",
- " \n",
- " 142 | \n",
- " Madagascar | \n",
- " 3.933 | \n",
- " 0.274 | \n",
- " 0.916 | \n",
- " 0.555 | \n",
- " 0.148 | \n",
- " 0.169 | \n",
- " 0.041 | \n",
- "
\n",
- " \n",
- " 143 | \n",
- " Lesotho | \n",
- " 3.802 | \n",
- " 0.489 | \n",
- " 1.169 | \n",
- " 0.168 | \n",
- " 0.359 | \n",
- " 0.107 | \n",
- " 0.093 | \n",
- "
\n",
- " \n",
- " 144 | \n",
- " Burundi | \n",
- " 3.775 | \n",
- " 0.046 | \n",
- " 0.447 | \n",
- " 0.380 | \n",
- " 0.220 | \n",
- " 0.176 | \n",
- " 0.180 | \n",
- "
\n",
- " \n",
- " 145 | \n",
- " Zimbabwe | \n",
- " 3.663 | \n",
- " 0.366 | \n",
- " 1.114 | \n",
- " 0.433 | \n",
- " 0.361 | \n",
- " 0.151 | \n",
- " 0.089 | \n",
- "
\n",
- " \n",
- " 146 | \n",
- " Haiti | \n",
- " 3.597 | \n",
- " 0.323 | \n",
- " 0.688 | \n",
- " 0.449 | \n",
- " 0.026 | \n",
- " 0.419 | \n",
- " 0.110 | \n",
- "
\n",
- " \n",
- " 148 | \n",
- " Syria | \n",
- " 3.462 | \n",
- " 0.619 | \n",
- " 0.378 | \n",
- " 0.440 | \n",
- " 0.013 | \n",
- " 0.331 | \n",
- " 0.141 | \n",
- "
\n",
- " \n",
- " 149 | \n",
- " Malawi | \n",
- " 3.410 | \n",
- " 0.191 | \n",
- " 0.560 | \n",
- " 0.495 | \n",
- " 0.443 | \n",
- " 0.218 | \n",
- " 0.089 | \n",
- "
\n",
- " \n",
- " 150 | \n",
- " Yemen | \n",
- " 3.380 | \n",
- " 0.287 | \n",
- " 1.163 | \n",
- " 0.463 | \n",
- " 0.143 | \n",
- " 0.108 | \n",
- " 0.077 | \n",
- "
\n",
- " \n",
- " 151 | \n",
- " Rwanda | \n",
- " 3.334 | \n",
- " 0.359 | \n",
- " 0.711 | \n",
- " 0.614 | \n",
- " 0.555 | \n",
- " 0.217 | \n",
- " 0.411 | \n",
- "
\n",
- " \n",
- " 152 | \n",
- " Tanzania | \n",
- " 3.231 | \n",
- " 0.476 | \n",
- " 0.885 | \n",
- " 0.499 | \n",
- " 0.417 | \n",
- " 0.276 | \n",
- " 0.147 | \n",
- "
\n",
- " \n",
- " 153 | \n",
- " Afghanistan | \n",
- " 3.203 | \n",
- " 0.350 | \n",
- " 0.517 | \n",
- " 0.361 | \n",
- " 0.000 | \n",
- " 0.158 | \n",
- " 0.025 | \n",
- "
\n",
- " \n",
- " 154 | \n",
- " Central African Republic | \n",
- " 3.083 | \n",
- " 0.026 | \n",
- " 0.000 | \n",
- " 0.105 | \n",
- " 0.225 | \n",
- " 0.235 | \n",
- " 0.035 | \n",
- "
\n",
- " \n",
- " 155 | \n",
- " South Sudan | \n",
- " 2.853 | \n",
- " 0.306 | \n",
- " 0.575 | \n",
- " 0.295 | \n",
- " 0.010 | \n",
- " 0.202 | \n",
- " 0.091 | \n",
- "
\n",
- " \n",
- "
\n",
- "
"
- ],
- "text/plain": [
- " Country Score Economy (GDP per Capita) \\\n",
- "0 Finland 7.769 1.340 \n",
- "1 Denmark 7.600 1.383 \n",
- "2 Norway 7.554 1.488 \n",
- "3 Iceland 7.494 1.380 \n",
- "4 Netherlands 7.488 1.396 \n",
- "5 Switzerland 7.480 1.452 \n",
- "6 Sweden 7.343 1.387 \n",
- "7 New Zealand 7.307 1.303 \n",
- "8 Canada 7.278 1.365 \n",
- "9 Austria 7.246 1.376 \n",
- "10 Australia 7.228 1.372 \n",
- "11 Costa Rica 7.167 1.034 \n",
- "12 Israel 7.139 1.276 \n",
- "13 Luxembourg 7.090 1.609 \n",
- "14 United Kingdom 7.054 1.333 \n",
- "15 Ireland 7.021 1.499 \n",
- "16 Germany 6.985 1.373 \n",
- "17 Belgium 6.923 1.356 \n",
- "18 United States 6.892 1.433 \n",
- "19 Czech Republic 6.852 1.269 \n",
- "20 United Arab Emirates 6.825 1.503 \n",
- "21 Malta 6.726 1.300 \n",
- "22 Mexico 6.595 1.070 \n",
- "23 France 6.592 1.324 \n",
- "24 Taiwan 6.446 1.368 \n",
- "25 Chile 6.444 1.159 \n",
- "26 Guatemala 6.436 0.800 \n",
- "27 Saudi Arabia 6.375 1.403 \n",
- "28 Qatar 6.374 1.684 \n",
- "29 Spain 6.354 1.286 \n",
- "30 Panama 6.321 1.149 \n",
- "31 Brazil 6.300 1.004 \n",
- "32 Uruguay 6.293 1.124 \n",
- "33 Singapore 6.262 1.572 \n",
- "34 El Salvador 6.253 0.794 \n",
- "35 Italy 6.223 1.294 \n",
- "36 Bahrain 6.199 1.362 \n",
- "37 Slovakia 6.198 1.246 \n",
- "38 Trinidad & Tobago 6.192 1.231 \n",
- "39 Poland 6.182 1.206 \n",
- "40 Uzbekistan 6.174 0.745 \n",
- "41 Lithuania 6.149 1.238 \n",
- "42 Colombia 6.125 0.985 \n",
- "43 Slovenia 6.118 1.258 \n",
- "44 Nicaragua 6.105 0.694 \n",
- "45 Kosovo 6.100 0.882 \n",
- "46 Argentina 6.086 1.092 \n",
- "47 Romania 6.070 1.162 \n",
- "48 Cyprus 6.046 1.263 \n",
- "49 Ecuador 6.028 0.912 \n",
- "50 Kuwait 6.021 1.500 \n",
- "51 Thailand 6.008 1.050 \n",
- "52 Latvia 5.940 1.187 \n",
- "53 South Korea 5.895 1.301 \n",
- "54 Estonia 5.893 1.237 \n",
- "55 Jamaica 5.890 0.831 \n",
- "56 Mauritius 5.888 1.120 \n",
- "57 Japan 5.886 1.327 \n",
- "58 Honduras 5.860 0.642 \n",
- "59 Kazakhstan 5.809 1.173 \n",
- "60 Bolivia 5.779 0.776 \n",
- "61 Hungary 5.758 1.201 \n",
- "62 Paraguay 5.743 0.855 \n",
- "63 Northern Cyprus 5.718 1.263 \n",
- "64 Peru 5.697 0.960 \n",
- "65 Portugal 5.693 1.221 \n",
- "66 Pakistan 5.653 0.677 \n",
- "67 Russia 5.648 1.183 \n",
- "68 Philippines 5.631 0.807 \n",
- "69 Serbia 5.603 1.004 \n",
- "70 Moldova 5.529 0.685 \n",
- "71 Libya 5.525 1.044 \n",
- "72 Montenegro 5.523 1.051 \n",
- "73 Tajikistan 5.467 0.493 \n",
- "74 Croatia 5.432 1.155 \n",
- "75 Hong Kong 5.430 1.438 \n",
- "76 Dominican Republic 5.425 1.015 \n",
- "77 Bosnia and Herzegovina 5.386 0.945 \n",
- "78 Turkey 5.373 1.183 \n",
- "79 Malaysia 5.339 1.221 \n",
- "80 Belarus 5.323 1.067 \n",
- "81 Greece 5.287 1.181 \n",
- "82 Mongolia 5.285 0.948 \n",
- "83 North Macedonia 5.274 0.983 \n",
- "84 Nigeria 5.265 0.696 \n",
- "85 Kyrgyzstan 5.261 0.551 \n",
- "87 Algeria 5.211 1.002 \n",
- "88 Morocco 5.208 0.801 \n",
- "89 Azerbaijan 5.208 1.043 \n",
- "90 Lebanon 5.197 0.987 \n",
- "91 Indonesia 5.192 0.931 \n",
- "92 China 5.191 1.029 \n",
- "93 Vietnam 5.175 0.741 \n",
- "94 Bhutan 5.082 0.813 \n",
- "95 Cameroon 5.044 0.549 \n",
- "97 Ghana 4.996 0.611 \n",
- "99 Nepal 4.913 0.446 \n",
- "100 Jordan 4.906 0.837 \n",
- "101 Benin 4.883 0.393 \n",
- "102 Congo (Brazzaville) 4.812 0.673 \n",
- "103 Gabon 4.799 1.057 \n",
- "104 Laos 4.796 0.764 \n",
- "105 South Africa 4.722 0.960 \n",
- "106 Albania 4.719 0.947 \n",
- "107 Venezuela 4.707 0.960 \n",
- "108 Cambodia 4.700 0.574 \n",
- "109 Palestinian Territories 4.696 0.657 \n",
- "110 Senegal 4.681 0.450 \n",
- "112 Namibia 4.639 0.879 \n",
- "113 Niger 4.628 0.138 \n",
- "114 Burkina Faso 4.587 0.331 \n",
- "115 Armenia 4.559 0.850 \n",
- "116 Iran 4.548 1.100 \n",
- "118 Georgia 4.519 0.886 \n",
- "120 Kenya 4.509 0.512 \n",
- "121 Mauritania 4.490 0.570 \n",
- "122 Mozambique 4.466 0.204 \n",
- "123 Tunisia 4.461 0.921 \n",
- "124 Bangladesh 4.456 0.562 \n",
- "126 Congo (Kinshasa) 4.418 0.094 \n",
- "127 Mali 4.390 0.385 \n",
- "128 Sierra Leone 4.374 0.268 \n",
- "129 Sri Lanka 4.366 0.949 \n",
- "130 Myanmar 4.360 0.710 \n",
- "131 Chad 4.350 0.350 \n",
- "132 Ukraine 4.332 0.820 \n",
- "133 Ethiopia 4.286 0.336 \n",
- "135 Uganda 4.189 0.332 \n",
- "136 Egypt 4.166 0.913 \n",
- "137 Zambia 4.107 0.578 \n",
- "138 Togo 4.085 0.275 \n",
- "139 India 4.015 0.755 \n",
- "140 Liberia 3.975 0.073 \n",
- "141 Comoros 3.973 0.274 \n",
- "142 Madagascar 3.933 0.274 \n",
- "143 Lesotho 3.802 0.489 \n",
- "144 Burundi 3.775 0.046 \n",
- "145 Zimbabwe 3.663 0.366 \n",
- "146 Haiti 3.597 0.323 \n",
- "148 Syria 3.462 0.619 \n",
- "149 Malawi 3.410 0.191 \n",
- "150 Yemen 3.380 0.287 \n",
- "151 Rwanda 3.334 0.359 \n",
- "152 Tanzania 3.231 0.476 \n",
- "153 Afghanistan 3.203 0.350 \n",
- "154 Central African Republic 3.083 0.026 \n",
- "155 South Sudan 2.853 0.306 \n",
- "\n",
- " Social Support Health (Life Expectancy) Freedom Generosity \\\n",
- "0 1.587 0.986 0.596 0.153 \n",
- "1 1.573 0.996 0.592 0.252 \n",
- "2 1.582 1.028 0.603 0.271 \n",
- "3 1.624 1.026 0.591 0.354 \n",
- "4 1.522 0.999 0.557 0.322 \n",
- "5 1.526 1.052 0.572 0.263 \n",
- "6 1.487 1.009 0.574 0.267 \n",
- "7 1.557 1.026 0.585 0.330 \n",
- "8 1.505 1.039 0.584 0.285 \n",
- "9 1.475 1.016 0.532 0.244 \n",
- "10 1.548 1.036 0.557 0.332 \n",
- "11 1.441 0.963 0.558 0.144 \n",
- "12 1.455 1.029 0.371 0.261 \n",
- "13 1.479 1.012 0.526 0.194 \n",
- "14 1.538 0.996 0.450 0.348 \n",
- "15 1.553 0.999 0.516 0.298 \n",
- "16 1.454 0.987 0.495 0.261 \n",
- "17 1.504 0.986 0.473 0.160 \n",
- "18 1.457 0.874 0.454 0.280 \n",
- "19 1.487 0.920 0.457 0.046 \n",
- "20 1.310 0.825 0.598 0.262 \n",
- "21 1.520 0.999 0.564 0.375 \n",
- "22 1.323 0.861 0.433 0.074 \n",
- "23 1.472 1.045 0.436 0.111 \n",
- "24 1.430 0.914 0.351 0.242 \n",
- "25 1.369 0.920 0.357 0.187 \n",
- "26 1.269 0.746 0.535 0.175 \n",
- "27 1.357 0.795 0.439 0.080 \n",
- "28 1.313 0.871 0.555 0.220 \n",
- "29 1.484 1.062 0.362 0.153 \n",
- "30 1.442 0.910 0.516 0.109 \n",
- "31 1.439 0.802 0.390 0.099 \n",
- "32 1.465 0.891 0.523 0.127 \n",
- "33 1.463 1.141 0.556 0.271 \n",
- "34 1.242 0.789 0.430 0.093 \n",
- "35 1.488 1.039 0.231 0.158 \n",
- "36 1.368 0.871 0.536 0.255 \n",
- "37 1.504 0.881 0.334 0.121 \n",
- "38 1.477 0.713 0.489 0.185 \n",
- "39 1.438 0.884 0.483 0.117 \n",
- "40 1.529 0.756 0.631 0.322 \n",
- "41 1.515 0.818 0.291 0.043 \n",
- "42 1.410 0.841 0.470 0.099 \n",
- "43 1.523 0.953 0.564 0.144 \n",
- "44 1.325 0.835 0.435 0.200 \n",
- "45 1.232 0.758 0.489 0.262 \n",
- "46 1.432 0.881 0.471 0.066 \n",
- "47 1.232 0.825 0.462 0.083 \n",
- "48 1.223 1.042 0.406 0.190 \n",
- "49 1.312 0.868 0.498 0.126 \n",
- "50 1.319 0.808 0.493 0.142 \n",
- "51 1.409 0.828 0.557 0.359 \n",
- "52 1.465 0.812 0.264 0.075 \n",
- "53 1.219 1.036 0.159 0.175 \n",
- "54 1.528 0.874 0.495 0.103 \n",
- "55 1.478 0.831 0.490 0.107 \n",
- "56 1.402 0.798 0.498 0.215 \n",
- "57 1.419 1.088 0.445 0.069 \n",
- "58 1.236 0.828 0.507 0.246 \n",
- "59 1.508 0.729 0.410 0.146 \n",
- "60 1.209 0.706 0.511 0.137 \n",
- "61 1.410 0.828 0.199 0.081 \n",
- "62 1.475 0.777 0.514 0.184 \n",
- "63 1.252 1.042 0.417 0.191 \n",
- "64 1.274 0.854 0.455 0.083 \n",
- "65 1.431 0.999 0.508 0.047 \n",
- "66 0.886 0.535 0.313 0.220 \n",
- "67 1.452 0.726 0.334 0.082 \n",
- "68 1.293 0.657 0.558 0.117 \n",
- "69 1.383 0.854 0.282 0.137 \n",
- "70 1.328 0.739 0.245 0.181 \n",
- "71 1.303 0.673 0.416 0.133 \n",
- "72 1.361 0.871 0.197 0.142 \n",
- "73 1.098 0.718 0.389 0.230 \n",
- "74 1.266 0.914 0.296 0.119 \n",
- "75 1.277 1.122 0.440 0.258 \n",
- "76 1.401 0.779 0.497 0.113 \n",
- "77 1.212 0.845 0.212 0.263 \n",
- "78 1.360 0.808 0.195 0.083 \n",
- "79 1.171 0.828 0.508 0.260 \n",
- "80 1.465 0.789 0.235 0.094 \n",
- "81 1.156 0.999 0.067 0.000 \n",
- "82 1.531 0.667 0.317 0.235 \n",
- "83 1.294 0.838 0.345 0.185 \n",
- "84 1.111 0.245 0.426 0.215 \n",
- "85 1.438 0.723 0.508 0.300 \n",
- "87 1.160 0.785 0.086 0.073 \n",
- "88 0.782 0.782 0.418 0.036 \n",
- "89 1.147 0.769 0.351 0.035 \n",
- "90 1.224 0.815 0.216 0.166 \n",
- "91 1.203 0.660 0.491 0.498 \n",
- "92 1.125 0.893 0.521 0.058 \n",
- "93 1.346 0.851 0.543 0.147 \n",
- "94 1.321 0.604 0.457 0.370 \n",
- "95 0.910 0.331 0.381 0.187 \n",
- "97 0.868 0.486 0.381 0.245 \n",
- "99 1.226 0.677 0.439 0.285 \n",
- "100 1.225 0.815 0.383 0.110 \n",
- "101 0.437 0.397 0.349 0.175 \n",
- "102 0.799 0.508 0.372 0.105 \n",
- "103 1.183 0.571 0.295 0.043 \n",
- "104 1.030 0.551 0.547 0.266 \n",
- "105 1.351 0.469 0.389 0.130 \n",
- "106 0.848 0.874 0.383 0.178 \n",
- "107 1.427 0.805 0.154 0.064 \n",
- "108 1.122 0.637 0.609 0.232 \n",
- "109 1.247 0.672 0.225 0.103 \n",
- "110 1.134 0.571 0.292 0.153 \n",
- "112 1.313 0.477 0.401 0.070 \n",
- "113 0.774 0.366 0.318 0.188 \n",
- "114 1.056 0.380 0.255 0.177 \n",
- "115 1.055 0.815 0.283 0.095 \n",
- "116 0.842 0.785 0.305 0.270 \n",
- "118 0.666 0.752 0.346 0.043 \n",
- "120 0.983 0.581 0.431 0.372 \n",
- "121 1.167 0.489 0.066 0.106 \n",
- "122 0.986 0.390 0.494 0.197 \n",
- "123 1.000 0.815 0.167 0.059 \n",
- "124 0.928 0.723 0.527 0.166 \n",
- "126 1.125 0.357 0.269 0.212 \n",
- "127 1.105 0.308 0.327 0.153 \n",
- "128 0.841 0.242 0.309 0.252 \n",
- "129 1.265 0.831 0.470 0.244 \n",
- "130 1.181 0.555 0.525 0.566 \n",
- "131 0.766 0.192 0.174 0.198 \n",
- "132 1.390 0.739 0.178 0.187 \n",
- "133 1.033 0.532 0.344 0.209 \n",
- "135 1.069 0.443 0.356 0.252 \n",
- "136 1.039 0.644 0.241 0.076 \n",
- "137 1.058 0.426 0.431 0.247 \n",
- "138 0.572 0.410 0.293 0.177 \n",
- "139 0.765 0.588 0.498 0.200 \n",
- "140 0.922 0.443 0.370 0.233 \n",
- "141 0.757 0.505 0.142 0.275 \n",
- "142 0.916 0.555 0.148 0.169 \n",
- "143 1.169 0.168 0.359 0.107 \n",
- "144 0.447 0.380 0.220 0.176 \n",
- "145 1.114 0.433 0.361 0.151 \n",
- "146 0.688 0.449 0.026 0.419 \n",
- "148 0.378 0.440 0.013 0.331 \n",
- "149 0.560 0.495 0.443 0.218 \n",
- "150 1.163 0.463 0.143 0.108 \n",
- "151 0.711 0.614 0.555 0.217 \n",
- "152 0.885 0.499 0.417 0.276 \n",
- "153 0.517 0.361 0.000 0.158 \n",
- "154 0.000 0.105 0.225 0.235 \n",
- "155 0.575 0.295 0.010 0.202 \n",
- "\n",
- " Perception of Corruption \n",
- "0 0.393 \n",
- "1 0.410 \n",
- "2 0.341 \n",
- "3 0.118 \n",
- "4 0.298 \n",
- "5 0.343 \n",
- "6 0.373 \n",
- "7 0.380 \n",
- "8 0.308 \n",
- "9 0.226 \n",
- "10 0.290 \n",
- "11 0.093 \n",
- "12 0.082 \n",
- "13 0.316 \n",
- "14 0.278 \n",
- "15 0.310 \n",
- "16 0.265 \n",
- "17 0.210 \n",
- "18 0.128 \n",
- "19 0.036 \n",
- "20 0.182 \n",
- "21 0.151 \n",
- "22 0.073 \n",
- "23 0.183 \n",
- "24 0.097 \n",
- "25 0.056 \n",
- "26 0.078 \n",
- "27 0.132 \n",
- "28 0.167 \n",
- "29 0.079 \n",
- "30 0.054 \n",
- "31 0.086 \n",
- "32 0.150 \n",
- "33 0.453 \n",
- "34 0.074 \n",
- "35 0.030 \n",
- "36 0.110 \n",
- "37 0.014 \n",
- "38 0.016 \n",
- "39 0.050 \n",
- "40 0.240 \n",
- "41 0.042 \n",
- "42 0.034 \n",
- "43 0.057 \n",
- "44 0.127 \n",
- "45 0.006 \n",
- "46 0.050 \n",
- "47 0.005 \n",
- "48 0.041 \n",
- "49 0.087 \n",
- "50 0.097 \n",
- "51 0.028 \n",
- "52 0.064 \n",
- "53 0.056 \n",
- "54 0.161 \n",
- "55 0.028 \n",
- "56 0.060 \n",
- "57 0.140 \n",
- "58 0.078 \n",
- "59 0.096 \n",
- "60 0.064 \n",
- "61 0.020 \n",
- "62 0.080 \n",
- "63 0.162 \n",
- "64 0.027 \n",
- "65 0.025 \n",
- "66 0.098 \n",
- "67 0.031 \n",
- "68 0.107 \n",
- "69 0.039 \n",
- "70 0.000 \n",
- "71 0.152 \n",
- "72 0.080 \n",
- "73 0.144 \n",
- "74 0.022 \n",
- "75 0.287 \n",
- "76 0.101 \n",
- "77 0.006 \n",
- "78 0.106 \n",
- "79 0.024 \n",
- "80 0.142 \n",
- "81 0.034 \n",
- "82 0.038 \n",
- "83 0.034 \n",
- "84 0.041 \n",
- "85 0.023 \n",
- "87 0.114 \n",
- "88 0.076 \n",
- "89 0.182 \n",
- "90 0.027 \n",
- "91 0.028 \n",
- "92 0.100 \n",
- "93 0.073 \n",
- "94 0.167 \n",
- "95 0.037 \n",
- "97 0.040 \n",
- "99 0.089 \n",
- "100 0.130 \n",
- "101 0.082 \n",
- "102 0.093 \n",
- "103 0.055 \n",
- "104 0.164 \n",
- "105 0.055 \n",
- "106 0.027 \n",
- "107 0.047 \n",
- "108 0.062 \n",
- "109 0.066 \n",
- "110 0.072 \n",
- "112 0.056 \n",
- "113 0.102 \n",
- "114 0.113 \n",
- "115 0.064 \n",
- "116 0.125 \n",
- "118 0.164 \n",
- "120 0.053 \n",
- "121 0.088 \n",
- "122 0.138 \n",
- "123 0.055 \n",
- "124 0.143 \n",
- "126 0.053 \n",
- "127 0.052 \n",
- "128 0.045 \n",
- "129 0.047 \n",
- "130 0.172 \n",
- "131 0.078 \n",
- "132 0.010 \n",
- "133 0.100 \n",
- "135 0.060 \n",
- "136 0.067 \n",
- "137 0.087 \n",
- "138 0.085 \n",
- "139 0.085 \n",
- "140 0.033 \n",
- "141 0.078 \n",
- "142 0.041 \n",
- "143 0.093 \n",
- "144 0.180 \n",
- "145 0.089 \n",
- "146 0.110 \n",
- "148 0.141 \n",
- "149 0.089 \n",
- "150 0.077 \n",
- "151 0.411 \n",
- "152 0.147 \n",
- "153 0.025 \n",
- "154 0.035 \n",
- "155 0.091 "
- ]
- },
- "execution_count": 2,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Rename the columns to make it more easy to understand\n",
- "\n",
- "happiness = happiness.rename(columns = {'Overall rank': 'Rank', 'Country or region': 'Country', \n",
- " 'GDP per capita': 'Economy (GDP per Capita)', 'Social support': 'Social Support', \n",
- " 'Healthy life expectancy': 'Health (Life Expectancy)', \n",
- " 'Freedom to make life choices': 'Freedom',\n",
- " 'Perceptions of corruption': 'Perception of Corruption'})\n",
- "\n",
- "#cleaning null value and inconsistent data\n",
- "happiness.drop(index=86,axis=0 , inplace=True)\n",
- "happiness.drop(index=96,axis=0 , inplace=True)\n",
- "happiness.drop(index=98,axis=0 , inplace=True)\n",
- "happiness.drop(index=111,axis=0 , inplace=True)\n",
- "happiness.drop(index=117,axis=0 , inplace=True)\n",
- "happiness.drop(index=119,axis=0 , inplace=True)\n",
- "happiness.drop(index=125,axis=0 , inplace=True)\n",
- "happiness.drop(index=134,axis=0 , inplace=True)\n",
- "happiness.drop(index=147,axis=0 , inplace=True)\n",
- "\n",
- "# Dropping the unimportant columns\n",
- "\n",
- "happiness.drop(['Rank'], axis = 1)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "number of dyplicate rows: (0, 9)\n"
- ]
- }
- ],
- "source": [
- "# Checking if the rows containing any duplicate data or not\n",
- "\n",
- "duplicate_rows_happiness = happiness[happiness.duplicated()]\n",
- "print(\"number of dyplicate rows: \", duplicate_rows_happiness.shape)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Rank 0\n",
- "Country 0\n",
- "Score 0\n",
- "Economy (GDP per Capita) 0\n",
- "Social Support 0\n",
- "Health (Life Expectancy) 0\n",
- "Freedom 0\n",
- "Generosity 0\n",
- "Perception of Corruption 0\n",
- "dtype: int64\n"
- ]
- }
- ],
- "source": [
- "# Find the null values.\n",
- "\n",
- "print(happiness.isnull().sum())"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Rank 147\n",
- "Country 147\n",
- "Score 147\n",
- "Economy (GDP per Capita) 147\n",
- "Social Support 147\n",
- "Health (Life Expectancy) 147\n",
- "Freedom 147\n",
- "Generosity 147\n",
- "Perception of Corruption 147\n",
- "dtype: int64"
- ]
- },
- "execution_count": 5,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Drop the missing values.\n",
- "happiness = happiness.dropna() \n",
- "happiness.count()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Rank 0\n",
- "Country 0\n",
- "Score 0\n",
- "Economy (GDP per Capita) 0\n",
- "Social Support 0\n",
- "Health (Life Expectancy) 0\n",
- "Freedom 0\n",
- "Generosity 0\n",
- "Perception of Corruption 0\n",
- "dtype: int64\n"
- ]
- }
- ],
- "source": [
- "# After dropping the values\n",
- "\n",
- "print(happiness.isnull().sum())"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "R2: 0.5694117211173655\n"
- ]
- }
- ],
- "source": [
- "# Decision Tree Regression\n",
- "\n",
- "x = pd.DataFrame(np.c_[happiness['Economy (GDP per Capita)'], happiness['Social Support'], happiness['Health (Life Expectancy)']], \n",
- " columns = ['Economy (GDP per Capita)','Social Support','Health (Life Expectancy)'])\n",
- "y = happiness['Score']\n",
- "\n",
- "# split the data using train_test_split\n",
- "from sklearn.model_selection import train_test_split\n",
- "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size = 0.2, random_state=42)\n",
- "\n",
- "# build the model\n",
- "from sklearn.tree import DecisionTreeRegressor\n",
- "regressor = DecisionTreeRegressor()\n",
- "\n",
- "# Fitting Decision Tree Regression into dataset\n",
- "regressor.fit(x_train, y_train)\n",
- "\n",
- "y_pred = regressor.predict(x_test)\n",
- "\n",
- "# test the accuracy/performance measurement using R2\n",
- "print('R2: ', regressor.score(x_test, y_test))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "
\n",
- " \n",
- " \n",
- " | \n",
- " Real Values | \n",
- " Predicted Values | \n",
- "
\n",
- " \n",
- " \n",
- " \n",
- " 132 | \n",
- " 4.332 | \n",
- " 5.261 | \n",
- "
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- " \n",
- " 51 | \n",
- " 6.008 | \n",
- " 5.523 | \n",
- "
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- " \n",
- " 146 | \n",
- " 3.597 | \n",
- " 4.085 | \n",
- "
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- " \n",
- " 19 | \n",
- " 6.852 | \n",
- " 6.118 | \n",
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- " \n",
- " 107 | \n",
- " 4.707 | \n",
- " 6.125 | \n",
- "
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- " \n",
- " 12 | \n",
- " 7.139 | \n",
- " 6.223 | \n",
- "
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- " \n",
- " 76 | \n",
- " 5.425 | \n",
- " 5.523 | \n",
- "
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- " \n",
- " 31 | \n",
- " 6.300 | \n",
- " 6.125 | \n",
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- " \n",
- " 81 | \n",
- " 5.287 | \n",
- " 5.339 | \n",
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- " \n",
- " 9 | \n",
- " 7.246 | \n",
- " 6.985 | \n",
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- " \n",
- " 26 | \n",
- " 6.436 | \n",
- " 6.253 | \n",
- "
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- " \n",
- " 99 | \n",
- " 4.913 | \n",
- " 5.779 | \n",
- "
\n",
- " \n",
- " 152 | \n",
- " 3.231 | \n",
- " 4.996 | \n",
- "
\n",
- " \n",
- " 67 | \n",
- " 5.648 | \n",
- " 5.888 | \n",
- "
\n",
- " \n",
- " 142 | \n",
- " 3.933 | \n",
- " 4.286 | \n",
- "
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- " \n",
- " 66 | \n",
- " 5.653 | \n",
- " 4.996 | \n",
- "
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- " \n",
- " 18 | \n",
- " 6.892 | \n",
- " 6.825 | \n",
- "
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- " \n",
- " 69 | \n",
- " 5.603 | \n",
- " 6.125 | \n",
- "
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- " \n",
- " 131 | \n",
- " 4.350 | \n",
- " 4.374 | \n",
- "
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- " \n",
- " 30 | \n",
- " 6.321 | \n",
- " 6.293 | \n",
- "
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- " \n",
- " 29 | \n",
- " 6.354 | \n",
- " 6.223 | \n",
- "
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- " \n",
- " 108 | \n",
- " 4.700 | \n",
- " 4.166 | \n",
- "
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- " \n",
- " 36 | \n",
- " 6.199 | \n",
- " 6.446 | \n",
- "
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- " \n",
- " 124 | \n",
- " 4.456 | \n",
- " 5.208 | \n",
- "
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- " \n",
- " 55 | \n",
- " 5.890 | \n",
- " 5.743 | \n",
- "
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- " \n",
- " 22 | \n",
- " 6.595 | \n",
- " 5.523 | \n",
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- " 64 | \n",
- " 5.697 | \n",
- " 5.386 | \n",
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- " 141 | \n",
- " 3.973 | \n",
- " 4.286 | \n",
- "
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- " \n",
- " 82 | \n",
- " 5.285 | \n",
- " 4.696 | \n",
- "
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- " \n",
- " 11 | \n",
- " 7.167 | \n",
- " 5.323 | \n",
- "
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- " \n",
- "
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- "
"
- ],
- "text/plain": [
- " Real Values Predicted Values\n",
- "132 4.332 5.261\n",
- "51 6.008 5.523\n",
- "146 3.597 4.085\n",
- "19 6.852 6.118\n",
- "107 4.707 6.125\n",
- "12 7.139 6.223\n",
- "76 5.425 5.523\n",
- "31 6.300 6.125\n",
- "81 5.287 5.339\n",
- "9 7.246 6.985\n",
- "26 6.436 6.253\n",
- "99 4.913 5.779\n",
- "152 3.231 4.996\n",
- "67 5.648 5.888\n",
- "142 3.933 4.286\n",
- "66 5.653 4.996\n",
- "18 6.892 6.825\n",
- "69 5.603 6.125\n",
- "131 4.350 4.374\n",
- "30 6.321 6.293\n",
- "29 6.354 6.223\n",
- "108 4.700 4.166\n",
- "36 6.199 6.446\n",
- "124 4.456 5.208\n",
- "55 5.890 5.743\n",
- "22 6.595 5.523\n",
- "64 5.697 5.386\n",
- "141 3.973 4.286\n",
- "82 5.285 4.696\n",
- "11 7.167 5.323"
- ]
- },
- "execution_count": 8,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df = pd.DataFrame({'Real Values':y_test, 'Predicted Values':y_pred})\n",
- "df"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Visualising the Decision Tree Regression Results \n",
- "\n",
- "X_grid = np.arange(0, 10)\n",
- "X_grid = X_grid.reshape((len(X_grid), 1))\n",
- "plt.scatter(y_pred, y_test)\n",
- "plt.title('Decision Tree Regression')\n",
- "plt.xlabel('Predicted Score')\n",
- "plt.ylabel('Score')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0.5222810333333335"
- ]
- },
- "execution_count": 10,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "from sklearn import metrics\n",
- "mse = metrics.mean_squared_error(y_test, y_pred)\n",
- "mse"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "mean in first_cv_scores is -0.87 and in second_cv_scores is -0.68\n"
- ]
- }
- ],
- "source": [
- "# k-fold cross validation of decision tree regression\n",
- "\n",
- "from sklearn.model_selection import cross_val_score\n",
- "regressor = DecisionTreeRegressor()\n",
- "\n",
- "first_cv_scores = cross_val_score(regressor, x, y, cv=5, scoring='neg_mean_squared_error')\n",
- "second_cv_scores = cross_val_score(regressor, x, y, cv=10, scoring='neg_mean_squared_error')\n",
- "print('mean in first_cv_scores is {0:.2f} and in second_cv_scores is {1:.2f}'.format(np.mean\n",
- "(first_cv_scores),\n",
- " np.mean\n",
- "(second_cv_scores)))\n",
- "\n",
- "# neg_mean_squared_error is better when close to 0.0"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- }
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- "language": "python",
- "name": "python3"
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