From b4abdfeadf729be64b58817041ad5b9eec94f391 Mon Sep 17 00:00:00 2001 From: Tim Kainz Date: Fri, 11 Apr 2025 15:56:12 +0200 Subject: [PATCH] added execercises for affinity --- 05_ML/code/supervised_4_dt_rf.ipynb | 2 +- ...rvised_1_kmeans_affinity_propagation.ipynb | 98 +++++++++- _data/country.csv | 168 ++++++++++++++++++ _data/happiness_2017.csv | 156 ++++++++++++++++ 4 files changed, 422 insertions(+), 2 deletions(-) create mode 100644 _data/country.csv create mode 100644 _data/happiness_2017.csv diff --git a/05_ML/code/supervised_4_dt_rf.ipynb b/05_ML/code/supervised_4_dt_rf.ipynb index f1ba1fd..813a786 100644 --- a/05_ML/code/supervised_4_dt_rf.ipynb +++ b/05_ML/code/supervised_4_dt_rf.ipynb @@ -1726,7 +1726,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.20" } }, "nbformat": 4, diff --git a/05_ML/code/unsupervised_1_kmeans_affinity_propagation.ipynb b/05_ML/code/unsupervised_1_kmeans_affinity_propagation.ipynb index 6779cda..e1395b7 100644 --- a/05_ML/code/unsupervised_1_kmeans_affinity_propagation.ipynb +++ b/05_ML/code/unsupervised_1_kmeans_affinity_propagation.ipynb @@ -1359,7 +1359,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -2461,6 +2461,102 @@ "\n", " *Dataset:* Happiness 2017 `happiness_2017.csv` (verwendet von https://www.kaggle.com/datasets/unsdsn/world-happiness?select=2017.csv)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "19\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "from sklearn.datasets import load_iris, load_wine\n", + "from sklearn.cluster import AffinityPropagation\n", + "from sklearn.preprocessing import StandardScaler\n", + "import pandas as pd\n", + "import numpy as np\n", + "ds = pd.read_csv(\"../../_data/country.csv\") # ggf. etwas anders als unser bisheriges Dataset\n", + "ds = ds.dropna()\n", + "X = ds.select_dtypes(include=[np.number])\n", + "\n", + "X = StandardScaler().fit_transform(X)\n", + "affinity_prop = AffinityPropagation(random_state=42)\n", + "affinity_prop_labels = affinity_prop.fit_predict(X) # fit_predict führt fit und predict zusammen aus\n", + "n_clusters = len(np.unique(affinity_prop_labels))\n", + "print(n_clusters)\n", + "df = pd.DataFrame(X, )\n", + "df['affinity_prop_labels'] = affinity_prop_labels\n", + "\n", + "# Plot mit Affinity-Labels\n", + "plt.figure(figsize=(10, 5))\n", + "plt.scatter(X[:, 0], X[:, 1], c=affinity_prop_labels) # WICHTIG: wir plotten nur die ersten beiden Dimensionen! -> Nächstes mal lernen wir, wie wir mit Downprojection eine besser Visualisierung erhalten\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "16\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "from sklearn.datasets import load_iris, load_wine\n", + "from sklearn.cluster import AffinityPropagation\n", + "from sklearn.preprocessing import StandardScaler\n", + "import pandas as pd\n", + "import numpy as np\n", + "ds = pd.read_csv(\"../../_data/happiness_2017.csv\") # ggf. etwas anders als unser bisheriges Dataset\n", + "ds = ds.dropna()\n", + "X = ds.select_dtypes(include=[np.number])\n", + "\n", + "X = StandardScaler().fit_transform(X)\n", + "affinity_prop = AffinityPropagation(random_state=42)\n", + "affinity_prop_labels = affinity_prop.fit_predict(X) # fit_predict führt fit und predict zusammen aus\n", + "n_clusters = len(np.unique(affinity_prop_labels))\n", + "print(n_clusters)\n", + "df = pd.DataFrame(X, )\n", + "df['affinity_prop_labels'] = affinity_prop_labels\n", + "\n", + "# Plot mit Affinity-Labels\n", + "plt.figure(figsize=(10, 5))\n", + "plt.scatter(X[:, 2], X[:, 3], c=affinity_prop_labels) # WICHTIG: wir plotten nur die ersten beiden Dimensionen! -> Nächstes mal lernen wir, wie wir mit Downprojection eine besser Visualisierung erhalten\n", + "plt.show()" + ] } ], "metadata": { diff --git a/_data/country.csv b/_data/country.csv new file mode 100644 index 0000000..bd7557c --- /dev/null +++ b/_data/country.csv @@ -0,0 +1,168 @@ +country,child_mort,exports,health,imports,income,inflation,life_expec,total_fer,gdpp +Afghanistan,90.2,10,7.58,44.9,1610,9.44,56.2,5.82,553 +Albania,16.6,28,6.55,48.6,9930,4.49,76.3,1.65,4090 +Algeria,27.3,38.4,4.17,31.4,12900,16.1,76.5,2.89,4460 +Angola,119,62.3,2.85,42.9,5900,22.4,60.1,6.16,3530 +Antigua and Barbuda,10.3,45.5,6.03,58.9,19100,1.44,76.8,2.13,12200 +Argentina,14.5,18.9,8.1,16,18700,20.9,75.8,2.37,10300 +Armenia,18.1,20.8,4.4,45.3,6700,7.77,73.3,1.69,3220 +Australia,4.8,19.8,8.73,20.9,41400,1.16,82,1.93,51900 +Austria,4.3,51.3,11,47.8,43200,0.873,80.5,1.44,46900 +Azerbaijan,39.2,54.3,5.88,20.7,16000,13.8,69.1,1.92,5840 +Bahamas,13.8,35,7.89,43.7,22900,-0.393,73.8,1.86,28000 +Bahrain,8.6,69.5,4.97,50.9,41100,7.44,76,2.16,20700 +Bangladesh,49.4,16,3.52,21.8,2440,7.14,70.4,2.33,758 +Barbados,14.2,39.5,7.97,48.7,15300,0.321,76.7,1.78,16000 +Belarus,5.5,51.4,5.61,64.5,16200,15.1,70.4,1.49,6030 +Belgium,4.5,76.4,10.7,74.7,41100,1.88,80,1.86,44400 +Belize,18.8,58.2,5.2,57.5,7880,1.14,71.4,2.71,4340 +Benin,111,23.8,4.1,37.2,1820,0.885,61.8,5.36,758 +Bhutan,42.7,42.5,5.2,70.7,6420,5.99,72.1,2.38,2180 +Bolivia,46.6,41.2,4.84,34.3,5410,8.78,71.6,3.2,1980 +Bosnia and Herzegovina,6.9,29.7,11.1,51.3,9720,1.4,76.8,1.31,4610 +Botswana,52.5,43.6,8.3,51.3,13300,8.92,57.1,2.88,6350 +Brazil,19.8,10.7,9.01,11.8,14500,8.41,74.2,1.8,11200 +Brunei,10.5,67.4,2.84,28,80600,16.7,77.1,1.84,35300 +Bulgaria,10.8,50.2,6.87,53,15300,1.11,73.9,1.57,6840 +Burkina Faso,116,19.2,6.74,29.6,1430,6.81,57.9,5.87,575 +Burundi,93.6,8.92,11.6,39.2,764,12.3,57.7,6.26,231 +Cambodia,44.4,54.1,5.68,59.5,2520,3.12,66.1,2.88,786 +Cameroon,108,22.2,5.13,27,2660,1.91,57.3,5.11,1310 +Canada,5.6,29.1,11.3,31,40700,2.87,81.3,1.63,47400 +Cape Verde,26.5,32.7,4.09,61.8,5830,0.505,72.5,2.67,3310 +Central African Republic,149,11.8,3.98,26.5,888,2.01,47.5,5.21,446 +Chad,150,36.8,4.53,43.5,1930,6.39,56.5,6.59,897 +Chile,8.7,37.7,7.96,31.3,19400,8.96,79.1,1.88,12900 +China,15.7,26.3,5.07,22.6,9530,6.94,74.6,1.59,4560 +Colombia,18.6,15.9,7.59,17.8,10900,3.86,76.4,2.01,6250 +Comoros,88.2,16.5,4.51,51.7,1410,3.87,65.9,4.75,769 +"Congo, Dem. Rep.",116,41.1,7.91,49.6,609,20.8,57.5,6.54,334 +"Congo, Rep.",63.9,85.1,2.46,54.7,5190,20.7,60.4,4.95,2740 +Costa Rica,10.2,33.2,10.9,35,13000,6.57,80.4,1.92,8200 +Cote d'Ivoire,111,50.6,5.3,43.3,2690,5.39,56.3,5.27,1220 +Croatia,5.5,37.6,7.76,38.1,20100,0.821,76.3,1.55,13500 +Cyprus,3.6,50.2,5.97,57.5,33900,2.01,79.9,1.42,30800 +Czech Republic,3.4,66,7.88,62.9,28300,-1.43,77.5,1.51,19800 +Denmark,4.1,50.5,11.4,43.6,44000,3.22,79.5,1.87,58000 +Dominican Republic,34.4,22.7,6.22,33.3,11100,5.44,74.6,2.6,5450 +Ecuador,25.1,27.9,8.06,32.4,9350,7.47,76.7,2.66,4660 +Egypt,29.1,21.3,4.66,26.6,9860,10.1,70.5,3.19,2600 +El Salvador,19.2,26.9,6.91,46.6,7300,2.65,74.1,2.27,2990 +Equatorial Guinea,111,85.8,4.48,58.9,33700,24.9,60.9,5.21,17100 +Eritrea,55.2,4.79,2.66,23.3,1420,11.6,61.7,4.61,482 +Estonia,4.5,75.1,6.03,68.7,22700,1.74,76,1.72,14600 +Fiji,24.1,57.8,4.86,63.9,7350,4.23,65.3,2.67,3650 +Finland,3,38.7,8.95,37.4,39800,0.351,80,1.87,46200 +France,4.2,26.8,11.9,28.1,36900,1.05,81.4,2.03,40600 +Gabon,63.7,57.7,3.5,18.9,15400,16.6,62.9,4.08,8750 +Gambia,80.3,23.8,5.69,42.7,1660,4.3,65.5,5.71,562 +Georgia,16.5,35,10.1,52.8,6730,8.55,72.8,1.92,2960 +Germany,4.2,42.3,11.6,37.1,40400,0.758,80.1,1.39,41800 +Ghana,74.7,29.5,5.22,45.9,3060,16.6,62.2,4.27,1310 +Greece,3.9,22.1,10.3,30.7,28700,0.673,80.4,1.48,26900 +Grenada,14.6,23.8,5.86,49.2,11200,0.48,71.3,2.24,7370 +Guatemala,35.4,25.8,6.85,36.3,6710,5.14,71.3,3.38,2830 +Guinea,109,30.3,4.93,43.2,1190,16.1,58,5.34,648 +Guinea-Bissau,114,14.9,8.5,35.2,1390,2.97,55.6,5.05,547 +Guyana,37.6,51.4,5.38,79.1,5840,5.73,65.5,2.65,3040 +Haiti,208,15.3,6.91,64.7,1500,5.45,32.1,3.33,662 +Hungary,6,81.8,7.33,76.5,22300,2.33,74.5,1.25,13100 +Iceland,2.6,53.4,9.4,43.3,38800,5.47,82,2.2,41900 +India,58.8,22.6,4.05,27.1,4410,8.98,66.2,2.6,1350 +Indonesia,33.3,24.3,2.61,22.4,8430,15.3,69.9,2.48,3110 +Iran,19.3,24.4,5.6,19.4,17400,15.9,74.5,1.76,6530 +Iraq,36.9,39.4,8.41,34.1,12700,16.6,67.2,4.56,4500 +Ireland,4.2,103,9.19,86.5,45700,-3.22,80.4,2.05,48700 +Israel,4.6,35,7.63,32.9,29600,1.77,81.4,3.03,30600 +Italy,4,25.2,9.53,27.2,36200,0.319,81.7,1.46,35800 +Jamaica,18.1,31.3,4.81,49.6,8000,9.81,74.7,2.17,4680 +Japan,3.2,15,9.49,13.6,35800,-1.9,82.8,1.39,44500 +Jordan,21.1,48.3,8.04,69,9470,8.43,75.8,3.66,3680 +Kazakhstan,21.5,44.2,4.29,29.9,20100,19.5,68.4,2.6,9070 +Kenya,62.2,20.7,4.75,33.6,2480,2.09,62.8,4.37,967 +Kiribati,62.7,13.3,11.3,79.9,1730,1.52,60.7,3.84,1490 +Kuwait,10.8,66.7,2.63,30.4,75200,11.2,78.2,2.21,38500 +Kyrgyz Republic,29.6,51.6,6.18,81.7,2790,10,68.5,3.1,880 +Lao,78.9,35.4,4.47,49.3,3980,9.2,63.8,3.15,1140 +Latvia,7.8,53.7,6.68,55.1,18300,-0.812,73.1,1.36,11300 +Lebanon,10.3,35.8,7.03,60.2,16300,0.238,79.8,1.61,8860 +Lesotho,99.7,39.4,11.1,101,2380,4.15,46.5,3.3,1170 +Liberia,89.3,19.1,11.8,92.6,700,5.47,60.8,5.02,327 +Libya,16.6,65.6,3.88,42.1,29600,14.2,76.1,2.41,12100 +Lithuania,6.1,65.3,7.04,67.2,21100,2.38,73.2,1.5,12000 +Luxembourg,2.8,175,7.77,142,91700,3.62,81.3,1.63,105000 +"Macedonia, FYR",10.4,39.8,7.09,58.1,11400,2.04,74,1.47,4540 +Madagascar,62.2,25,3.77,43,1390,8.79,60.8,4.6,413 +Malawi,90.5,22.8,6.59,34.9,1030,12.1,53.1,5.31,459 +Malaysia,7.9,86.9,4.39,71,21100,7.27,74.5,2.15,9070 +Maldives,13.2,77.6,6.33,65.4,10500,2.88,77.9,2.23,7100 +Mali,137,22.8,4.98,35.1,1870,4.37,59.5,6.55,708 +Malta,6.8,153,8.65,154,28300,3.83,80.3,1.36,21100 +Mauritania,97.4,50.7,4.41,61.2,3320,18.9,68.2,4.98,1200 +Mauritius,15,51.2,6,62.2,15900,1.13,73.4,1.57,8000 +"Micronesia, Fed. Sts.",40,23.5,14.2,81,3340,3.8,65.4,3.46,2860 +Moldova,17.2,39.2,11.7,78.5,3910,11.1,69.7,1.27,1630 +Mongolia,26.1,46.7,5.44,56.7,7710,39.2,66.2,2.64,2650 +Montenegro,6.8,37,9.11,62.7,14000,1.6,76.4,1.77,6680 +Morocco,33.5,32.2,5.2,43,6440,0.976,73.5,2.58,2830 +Mozambique,101,31.5,5.21,46.2,918,7.64,54.5,5.56,419 +Myanmar,64.4,0.109,1.97,0.0659,3720,7.04,66.8,2.41,988 +Namibia,56,47.8,6.78,60.7,8460,3.56,58.6,3.6,5190 +Nepal,47,9.58,5.25,36.4,1990,15.1,68.3,2.61,592 +Netherlands,4.5,72,11.9,63.6,45500,0.848,80.7,1.79,50300 +New Zealand,6.2,30.3,10.1,28,32300,3.73,80.9,2.17,33700 +Niger,123,22.2,5.16,49.1,814,2.55,58.8,7.49,348 +Nigeria,130,25.3,5.07,17.4,5150,104,60.5,5.84,2330 +Norway,3.2,39.7,9.48,28.5,62300,5.95,81,1.95,87800 +Oman,11.7,65.7,2.77,41.2,45300,15.6,76.1,2.9,19300 +Pakistan,92.1,13.5,2.2,19.4,4280,10.9,65.3,3.85,1040 +Panama,19.7,70,8.1,78.2,15400,2.59,77.8,2.62,8080 +Paraguay,24.1,55.1,5.87,51.5,7290,6.1,74.1,2.73,3230 +Peru,20.3,27.8,5.08,23.8,9960,5.71,77.9,2.54,5020 +Philippines,31.9,34.8,3.61,36.6,5600,4.22,69,3.16,2130 +Poland,6,40.1,7.46,42.1,21800,1.66,76.3,1.41,12600 +Portugal,3.9,29.9,11,37.4,27200,0.643,79.8,1.39,22500 +Qatar,9,62.3,1.81,23.8,125000,6.98,79.5,2.07,70300 +Romania,11.5,32.6,5.58,38.8,17800,3.53,73.7,1.59,8230 +Russia,10,29.2,5.08,21.1,23100,14.2,69.2,1.57,10700 +Rwanda,63.6,12,10.5,30,1350,2.61,64.6,4.51,563 +Samoa,18.9,29.2,6.47,53.1,5400,1.72,71.5,4.34,3450 +Saudi Arabia,15.7,49.6,4.29,33,45400,17.2,75.1,2.96,19300 +Senegal,66.8,24.9,5.66,40.3,2180,1.85,64,5.06,1000 +Serbia,7.6,32.9,10.4,47.9,12700,5.88,74.7,1.4,5410 +Seychelles,14.4,93.8,3.4,108,20400,-4.21,73.4,2.17,10800 +Sierra Leone,160,16.8,13.1,34.5,1220,17.2,55,5.2,399 +Singapore,2.8,200,3.96,174,72100,-0.046,82.7,1.15,46600 +Slovak Republic,7,76.3,8.79,77.8,25200,0.485,75.5,1.43,16600 +Slovenia,3.2,64.3,9.41,62.9,28700,-0.987,79.5,1.57,23400 +Solomon Islands,28.1,49.3,8.55,81.2,1780,6.81,61.7,4.24,1290 +South Africa,53.7,28.6,8.94,27.4,12000,6.35,54.3,2.59,7280 +South Korea,4.1,49.4,6.93,46.2,30400,3.16,80.1,1.23,22100 +Spain,3.8,25.5,9.54,26.8,32500,0.16,81.9,1.37,30700 +Sri Lanka,11.2,19.6,2.94,26.8,8560,22.8,74.4,2.2,2810 +St. Vincent and the Grenadines,20.7,26.9,4.47,57.1,9920,4.44,71.6,2.07,6230 +Sudan,76.7,19.7,6.32,17.2,3370,19.6,66.3,4.88,1480 +Suriname,24.1,52.5,7.01,38.4,14200,7.2,70.3,2.52,8300 +Sweden,3,46.2,9.63,40.7,42900,0.991,81.5,1.98,52100 +Switzerland,4.5,64,11.5,53.3,55500,0.317,82.2,1.52,74600 +Tajikistan,52.4,14.9,5.98,58.6,2110,12.5,69.6,3.51,738 +Tanzania,71.9,18.7,6.01,29.1,2090,9.25,59.3,5.43,702 +Thailand,14.9,66.5,3.88,60.8,13500,4.08,76.6,1.55,5080 +Timor-Leste,62.6,2.2,9.12,27.8,1850,26.5,71.1,6.23,3600 +Togo,90.3,40.2,7.65,57.3,1210,1.18,58.7,4.87,488 +Tonga,17.4,12.4,5.07,60.3,4980,3.68,69.9,3.91,3550 +Tunisia,17.4,50.5,6.21,55.3,10400,3.82,76.9,2.14,4140 +Turkey,19.1,20.4,6.74,25.5,18000,7.01,78.2,2.15,10700 +Turkmenistan,62,76.3,2.5,44.5,9940,2.31,67.9,2.83,4440 +Uganda,81,17.1,9.01,28.6,1540,10.6,56.8,6.15,595 +Ukraine,11.7,47.1,7.72,51.1,7820,13.4,70.4,1.44,2970 +United Arab Emirates,8.6,77.7,3.66,63.6,57600,12.5,76.5,1.87,35000 +United Kingdom,5.2,28.2,9.64,30.8,36200,1.57,80.3,1.92,38900 +United States,7.3,12.4,17.9,15.8,49400,1.22,78.7,1.93,48400 +Uruguay,10.6,26.3,8.35,25.4,17100,4.91,76.4,2.08,11900 +Uzbekistan,36.3,31.7,5.81,28.5,4240,16.5,68.8,2.34,1380 +Vanuatu,29.2,46.6,5.25,52.7,2950,2.62,63,3.5,2970 +Venezuela,17.1,28.5,4.91,17.6,16500,45.9,75.4,2.47,13500 +Vietnam,23.3,72,6.84,80.2,4490,12.1,73.1,1.95,1310 +Yemen,56.3,30,5.18,34.4,4480,23.6,67.5,4.67,1310 +Zambia,83.1,37,5.89,30.9,3280,14,52,5.4,1460 diff --git a/_data/happiness_2017.csv b/_data/happiness_2017.csv new file mode 100644 index 0000000..22558fb --- /dev/null +++ b/_data/happiness_2017.csv @@ -0,0 +1,156 @@ +Country,Economy..GDP.per.Capita.,Family,Health..Life.Expectancy.,Freedom,Generosity,Trust..Government.Corruption.,Dystopia.Residual +Norway,1.61646318435669,1.53352355957031,0.796666502952576,0.635422587394714,0.36201223731041,0.315963834524155,2.27702665328979 +Denmark,1.48238301277161,1.55112159252167,0.792565524578094,0.626006722450256,0.355280488729477,0.40077006816864,2.31370735168457 +Iceland,1.480633020401,1.6105740070343,0.833552122116089,0.627162635326385,0.475540220737457,0.153526559472084,2.32271528244019 +Switzerland,1.56497955322266,1.51691174507141,0.858131289482117,0.620070576667786,0.290549278259277,0.367007285356522,2.2767162322998 +Finland,1.44357192516327,1.5402467250824,0.80915766954422,0.617950856685638,0.24548277258873,0.38261154294014,2.4301815032959 +Netherlands,1.50394463539124,1.42893922328949,0.810696125030518,0.585384488105774,0.470489829778671,0.282661825418472,2.29480409622192 +Canada,1.47920441627502,1.48134899139404,0.83455765247345,0.611100912094116,0.435539722442627,0.287371516227722,2.18726444244385 +New Zealand,1.40570604801178,1.54819512367249,0.816759705543518,0.614062130451202,0.500005125999451,0.382816702127457,2.0464563369751 +Sweden,1.49438726902008,1.47816216945648,0.830875158309937,0.612924098968506,0.385399252176285,0.384398728609085,2.09753799438477 +Australia,1.484414935112,1.51004195213318,0.84388679265976,0.601607382297516,0.477699249982834,0.301183730363846,2.06521081924438 +Israel,1.37538242340088,1.37628996372223,0.83840399980545,0.405988603830338,0.330082654953003,0.0852421000599861,2.80175733566284 +Costa Rica,1.10970628261566,1.41640365123749,0.759509265422821,0.580131649971008,0.214613229036331,0.100106589496136,2.89863920211792 +Austria,1.48709726333618,1.4599449634552,0.815328419208527,0.567766189575195,0.316472321748734,0.221060365438461,2.1385064125061 +United States,1.54625928401947,1.41992056369781,0.77428662776947,0.505740523338318,0.392578780651093,0.135638788342476,2.2181134223938 +Ireland,1.53570663928986,1.55823111534119,0.80978262424469,0.573110342025757,0.42785832285881,0.29838815331459,1.77386903762817 +Germany,1.48792338371277,1.47252035140991,0.798950731754303,0.562511384487152,0.336269170045853,0.276731938123703,2.01576995849609 +Belgium,1.46378076076508,1.46231269836426,0.818091869354248,0.539770722389221,0.231503337621689,0.251343131065369,2.12421035766602 +Luxembourg,1.74194359779358,1.45758366584778,0.845089495182037,0.59662789106369,0.283180981874466,0.31883442401886,1.61951208114624 +United Kingdom,1.44163393974304,1.49646008014679,0.805335938930511,0.508190035820007,0.492774158716202,0.265428066253662,1.70414352416992 +Chile,1.25278460979462,1.28402495384216,0.819479703903198,0.376895278692245,0.326662421226501,0.0822879821062088,2.50958585739136 +United Arab Emirates,1.62634336948395,1.26641023159027,0.726798236370087,0.60834527015686,0.3609419465065,0.324489563703537,1.734703540802 +Brazil,1.10735321044922,1.43130600452423,0.616552352905273,0.437453746795654,0.16234989464283,0.111092761158943,2.76926708221436 +Czech Republic,1.35268235206604,1.43388521671295,0.754444003105164,0.490946173667908,0.0881067588925362,0.0368729270994663,2.45186185836792 +Argentina,1.18529546260834,1.44045114517212,0.695137083530426,0.494519203901291,0.109457060694695,0.059739887714386,2.61400532722473 +Mexico,1.15318381786346,1.210862159729,0.709978997707367,0.412730008363724,0.120990432798862,0.132774114608765,2.83715486526489 +Singapore,1.69227766990662,1.35381436347961,0.949492394924164,0.549840569496155,0.345965981483459,0.46430778503418,1.21636199951172 +Malta,1.34327983856201,1.48841166496277,0.821944236755371,0.588767051696777,0.574730575084686,0.153066068887711,1.55686283111572 +Uruguay,1.21755969524384,1.41222786903381,0.719216823577881,0.57939225435257,0.175096929073334,0.178061872720718,2.17240953445435 +Guatemala,0.872001945972443,1.25558519363403,0.540239989757538,0.531310617923737,0.283488392829895,0.0772232785820961,2.89389109611511 +Panama,1.23374843597412,1.37319254875183,0.706156134605408,0.550026834011078,0.21055693924427,0.070983923971653,2.30719995498657 +France,1.43092346191406,1.38777685165405,0.844465851783752,0.470222115516663,0.129762306809425,0.172502428293228,2.00595474243164 +Thailand,1.12786877155304,1.42579245567322,0.647239029407501,0.580200731754303,0.572123110294342,0.0316127352416515,2.03950834274292 +Taiwan Province of China,1.43362653255463,1.38456535339355,0.793984234333038,0.361466586589813,0.258360475301743,0.0638292357325554,2.1266074180603 +Spain,1.38439786434174,1.53209090232849,0.888960599899292,0.408781230449677,0.190133571624756,0.0709140971302986,1.92775774002075 +Qatar,1.87076568603516,1.27429687976837,0.710098087787628,0.604130983352661,0.330473870038986,0.439299255609512,1.1454644203186 +Colombia,1.07062232494354,1.4021829366684,0.595027923583984,0.477487415075302,0.149014472961426,0.0466687418520451,2.61606812477112 +Saudi Arabia,1.53062355518341,1.28667759895325,0.590148329734802,0.449750572443008,0.147616013884544,0.27343225479126,2.0654296875 +Trinidad and Tobago,1.36135590076447,1.3802285194397,0.519983291625977,0.518630743026733,0.325296461582184,0.0089648161083459,2.05324745178223 +Kuwait,1.63295245170593,1.25969874858856,0.632105708122253,0.496337592601776,0.228289797902107,0.215159550309181,1.64042520523071 +Slovakia,1.32539355754852,1.50505924224854,0.712732911109924,0.295817464590073,0.136544480919838,0.0242108516395092,2.09777665138245 +Bahrain,1.48841226100922,1.32311046123505,0.653133034706116,0.536746919155121,0.172668486833572,0.257042169570923,1.65614938735962 +Malaysia,1.29121541976929,1.28464603424072,0.618784427642822,0.402264982461929,0.416608929634094,0.0656007081270218,2.00444889068604 +Nicaragua,0.737299203872681,1.28721570968628,0.653095960617065,0.447551846504211,0.301674216985703,0.130687981843948,2.51393055915833 +Ecuador,1.00082039833069,1.28616881370544,0.685636222362518,0.4551981985569,0.150112465023994,0.140134647488594,2.29035258293152 +El Salvador,0.909784495830536,1.18212509155273,0.596018552780151,0.432452529668808,0.0782579854130745,0.0899809598922729,2.7145938873291 +Poland,1.29178786277771,1.44571197032928,0.699475347995758,0.520342111587524,0.158465966582298,0.0593078061938286,1.79772281646729 +Uzbekistan,0.786441087722778,1.54896914958954,0.498272627592087,0.658248662948608,0.415983647108078,0.246528223156929,1.81691360473633 +Italy,1.39506661891937,1.44492328166962,0.853144347667694,0.256450712680817,0.17278964817524,0.0280280914157629,1.81331205368042 +Russia,1.28177809715271,1.46928238868713,0.547349333763123,0.373783111572266,0.0522638224065304,0.0329628810286522,2.20560741424561 +Belize,0.907975316047668,1.08141779899597,0.450191766023636,0.547509372234344,0.240015640854836,0.0965810716152191,2.63195562362671 +Japan,1.41691517829895,1.43633782863617,0.913475871086121,0.505625545978546,0.12057276815176,0.163760736584663,1.36322355270386 +Lithuania,1.31458234786987,1.47351610660553,0.62894994020462,0.234231784939766,0.010164656676352,0.0118656428530812,2.22844052314758 +Algeria,1.09186446666718,1.1462174654007,0.617584645748138,0.233335807919502,0.0694366469979286,0.146096110343933,2.56760382652283 +Latvia,1.26074862480164,1.40471494197845,0.638566970825195,0.325707912445068,0.153074786067009,0.0738427266478539,1.99365520477295 +South Korea,1.40167844295502,1.12827444076538,0.900214076042175,0.257921665906906,0.206674367189407,0.0632826685905457,1.88037800788879 +Moldova,0.728870630264282,1.25182557106018,0.589465200901031,0.240729048848152,0.208779126405716,0.0100912861526012,2.80780839920044 +Romania,1.21768391132355,1.15009129047394,0.685158312320709,0.457003742456436,0.133519917726517,0.00438790069893,2.17683148384094 +Bolivia,0.833756566047668,1.22761905193329,0.473630249500275,0.558732926845551,0.22556072473526,0.0604777261614799,2.44327902793884 +Turkmenistan,1.13077676296234,1.49314916133881,0.437726080417633,0.41827192902565,0.24992498755455,0.259270340204239,1.83290982246399 +Kazakhstan,1.28455626964569,1.38436901569366,0.606041550636292,0.437454283237457,0.201964423060417,0.119282886385918,1.78489255905151 +North Cyprus,1.3469113111496,1.18630337715149,0.834647238254547,0.471203625202179,0.266845703125,0.155353352427483,1.54915761947632 +Slovenia,1.3412059545517,1.45251882076263,0.790828227996826,0.572575807571411,0.242649093270302,0.0451289787888527,1.31331729888916 +Peru,1.03522527217865,1.21877038478851,0.630166113376617,0.450002878904343,0.126819714903831,0.0470490865409374,2.20726943016052 +Mauritius,1.18939554691315,1.20956099033356,0.638007462024689,0.491247326135635,0.360933750867844,0.0421815551817417,1.6975839138031 +Cyprus,1.35593807697296,1.13136327266693,0.84471470117569,0.355111539363861,0.271254301071167,0.0412379764020443,1.62124919891357 +Estonia,1.32087934017181,1.47667109966278,0.695168316364288,0.479131430387497,0.0988908112049103,0.183248922228813,1.35750865936279 +Belarus,1.15655755996704,1.44494521617889,0.637714266777039,0.295400261878967,0.15513750910759,0.156313821673393,1.72323298454285 +Libya,1.10180306434631,1.35756433010101,0.520169019699097,0.465733230113983,0.152073666453362,0.0926102101802826,1.83501124382019 +Turkey,1.19827437400818,1.33775317668915,0.637605607509613,0.300740599632263,0.0466930419206619,0.0996715798974037,1.87927794456482 +Paraguay,0.932537317276001,1.50728487968445,0.579250693321228,0.473507791757584,0.224150657653809,0.091065913438797,1.6853334903717 +"Hong Kong S.A.R., China",1.55167484283447,1.26279091835022,0.943062424659729,0.490968644618988,0.374465793371201,0.293933749198914,0.554633140563965 +Philippines,0.85769921541214,1.25391757488251,0.468009054660797,0.585214674472809,0.193513423204422,0.0993318930268288,1.97260475158691 +Serbia,1.06931757926941,1.25818979740143,0.65078467130661,0.208715528249741,0.220125883817673,0.0409037806093693,1.94708442687988 +Jordan,0.991012394428253,1.23908889293671,0.604590058326721,0.418421149253845,0.172170460224152,0.11980327218771,1.79117655754089 +Hungary,1.2860119342804,1.34313309192657,0.687763452529907,0.175863519310951,0.0784016624093056,0.0366369374096394,1.71645927429199 +Jamaica,0.925579309463501,1.36821806430817,0.641022384166718,0.474307239055634,0.233818337321281,0.0552677810192108,1.61232566833496 +Croatia,1.22255623340607,0.96798300743103,0.701288521289825,0.255772292613983,0.248002976179123,0.0431031100451946,1.85449242591858 +Kosovo,0.951484382152557,1.13785350322723,0.541452050209045,0.260287940502167,0.319931447505951,0.0574716180562973,2.01054072380066 +China,1.08116579055786,1.16083741188049,0.741415500640869,0.472787708044052,0.0288068410009146,0.0227942746132612,1.76493859291077 +Pakistan,0.72688353061676,0.672690689563751,0.402047783136368,0.23521526157856,0.315446019172668,0.124348066747189,2.79248929023743 +Indonesia,0.995538592338562,1.27444469928741,0.492345720529556,0.443323463201523,0.611704587936401,0.0153171354904771,1.42947697639465 +Venezuela,1.12843120098114,1.43133759498596,0.617144227027893,0.153997123241425,0.0650196298956871,0.0644911229610443,1.78946375846863 +Montenegro,1.12112903594971,1.23837649822235,0.667464673519135,0.194989055395126,0.197911024093628,0.0881741940975189,1.72919154167175 +Morocco,0.878114581108093,0.774864435195923,0.59771066904068,0.408158332109451,0.0322099551558495,0.0877631828188896,2.45618939399719 +Azerbaijan,1.15360176563263,1.15240025520325,0.540775775909424,0.398155838251114,0.0452693402767181,0.180987507104874,1.76248168945312 +Dominican Republic,1.07937383651733,1.40241670608521,0.574873745441437,0.55258983373642,0.186967849731445,0.113945253193378,1.31946516036987 +Greece,1.28948748111725,1.23941457271576,0.810198903083801,0.0957312509417534,0.0,0.04328977689147,1.74922156333923 +Lebanon,1.07498753070831,1.12962424755096,0.735081076622009,0.288515985012054,0.264450758695602,0.037513829767704,1.69507384300232 +Portugal,1.3151752948761,1.36704301834106,0.795843541622162,0.498465299606323,0.0951027125120163,0.0158694516867399,1.10768270492554 +Bosnia and Herzegovina,0.982409417629242,1.0693359375,0.705186307430267,0.204403176903725,0.328867495059967,0.0,1.89217257499695 +Honduras,0.730573117733002,1.14394497871399,0.582569479942322,0.348079860210419,0.236188873648643,0.0733454525470734,2.06581115722656 +Macedonia,1.06457793712616,1.20789301395416,0.644948184490204,0.325905978679657,0.25376096367836,0.0602777935564518,1.6174693107605 +Somalia,0.0226431842893362,0.721151351928711,0.113989137113094,0.602126955986023,0.291631311178207,0.282410323619843,3.11748456954956 +Vietnam,0.788547575473785,1.27749133110046,0.652168989181519,0.571055591106415,0.234968051314354,0.0876332372426987,1.46231865882874 +Nigeria,0.783756256103516,1.21577048301697,0.0569157302379608,0.394952565431595,0.230947196483612,0.0261215660721064,2.36539053916931 +Tajikistan,0.524713635444641,1.27146327495575,0.529235124588013,0.471566706895828,0.248997643589973,0.146377146244049,1.84904932975769 +Bhutan,0.885416388511658,1.34012651443481,0.495879292488098,0.501537680625916,0.474054545164108,0.173380389809608,1.14018440246582 +Kyrgyzstan,0.596220076084137,1.39423859119415,0.553457796573639,0.454943388700485,0.42858037352562,0.0394391790032387,1.53672313690186 +Nepal,0.479820191860199,1.17928326129913,0.504130780696869,0.440305948257446,0.394096165895462,0.0729755461215973,1.8912410736084 +Mongolia,1.02723586559296,1.4930112361908,0.557783484458923,0.394143968820572,0.338464230298996,0.0329022891819477,1.11129236221313 +South Africa,1.05469870567322,1.38478863239288,0.187080070376396,0.479246735572815,0.139362379908562,0.0725094974040985,1.51090860366821 +Tunisia,1.00726580619812,0.868351459503174,0.613212049007416,0.289680689573288,0.0496933571994305,0.0867231488227844,1.89025115966797 +Palestinian Territories,0.716249227523804,1.15564715862274,0.565666973590851,0.25471106171608,0.114173173904419,0.0892826020717621,1.8788902759552 +Egypt,0.989701807498932,0.997471392154694,0.520187258720398,0.282110154628754,0.128631442785263,0.114381365478039,1.70216107368469 +Bulgaria,1.1614590883255,1.43437945842743,0.708217680454254,0.289231717586517,0.113177694380283,0.0110515309497714,0.996139287948608 +Sierra Leone,0.36842092871666,0.984136044979095,0.0055647538974881,0.318697690963745,0.293040901422501,0.0710951760411263,2.66845989227295 +Cameroon,0.564305365085602,0.946018218994141,0.132892116904259,0.430388748645782,0.236298456788063,0.0513066314160824,2.3336455821991 +Iran,1.15687310695648,0.711551249027252,0.639333188533783,0.249322608113289,0.387242913246155,0.048761073499918,1.49873495101929 +Albania,0.996192753314972,0.803685247898102,0.731159746646881,0.381498634815216,0.201312944293022,0.0398642159998417,1.49044156074524 +Bangladesh,0.586682975292206,0.735131740570068,0.533241033554077,0.478356659412384,0.172255352139473,0.123717859387398,1.97873616218567 +Namibia,0.964434325695038,1.0984708070755,0.33861181139946,0.520303547382355,0.0771337449550629,0.0931469723582268,1.4818902015686 +Kenya,0.560479462146759,1.06795072555542,0.309988349676132,0.452763766050339,0.444860309362411,0.0646413192152977,1.6519021987915 +Mozambique,0.234305649995804,0.870701014995575,0.106654435396194,0.480791091918945,0.322228103876114,0.179436385631561,2.35565090179443 +Myanmar,0.367110550403595,1.12323594093323,0.397522568702698,0.514492034912109,0.838075160980225,0.188816204667091,1.11529040336609 +Senegal,0.479309022426605,1.17969191074371,0.409362852573395,0.377922266721725,0.183468893170357,0.115460447967052,1.78964614868164 +Zambia,0.636406779289246,1.00318729877472,0.257835894823074,0.461603492498398,0.249580144882202,0.0782135501503944,1.82670545578003 +Iraq,1.10271048545837,0.978613197803497,0.501180469989777,0.288555532693863,0.19963726401329,0.107215754687786,1.31890726089478 +Gabon,1.1982102394104,1.1556202173233,0.356578588485718,0.312328577041626,0.0437853783369064,0.0760467872023582,1.32291626930237 +Ethiopia,0.339233845472336,0.86466920375824,0.353409707546234,0.408842742443085,0.312650740146637,0.165455713868141,2.01574373245239 +Sri Lanka,1.00985014438629,1.25997638702393,0.625130832195282,0.561213254928589,0.490863561630249,0.0736539661884308,0.419389247894287 +Armenia,0.900596737861633,1.00748372077942,0.637524425983429,0.198303267359734,0.0834880918264389,0.0266744215041399,1.5214991569519 +India,0.792221248149872,0.754372596740723,0.455427616834641,0.469987004995346,0.231538489460945,0.0922268852591515,1.5191171169281 +Mauritania,0.648457288742065,1.2720308303833,0.285349279642105,0.0960980430245399,0.201870024204254,0.136957004666328,1.65163731575012 +Congo (Brazzaville),0.808964252471924,0.832044363021851,0.28995743393898,0.435025870800018,0.120852127671242,0.0796181336045265,1.72413563728333 +Georgia,0.950612664222717,0.57061493396759,0.649546980857849,0.309410035610199,0.0540088154375553,0.251666635274887,1.50013780593872 +Congo (Kinshasa),0.0921023488044739,1.22902345657349,0.191407024860382,0.235961347818375,0.246455833315849,0.0602413564920425,2.22495865821838 +Mali,0.476180493831635,1.28147339820862,0.169365674257278,0.306613743305206,0.183354198932648,0.104970246553421,1.66819095611572 +Ivory Coast,0.603048920631409,0.904780030250549,0.0486421696841717,0.447706192731857,0.201237469911575,0.130061775445938,1.84496426582336 +Cambodia,0.601765096187592,1.00623834133148,0.429783403873444,0.633375823497772,0.385922968387604,0.0681059509515762,1.04294109344482 +Sudan,0.65951669216156,1.21400856971741,0.290920823812485,0.0149958552792668,0.182317450642586,0.089847519993782,1.68706583976746 +Ghana,0.667224824428558,0.873664736747742,0.295637726783752,0.423026293516159,0.256923943758011,0.0253363698720932,1.57786750793457 +Ukraine,0.89465194940567,1.39453756809235,0.575903952121735,0.122974775731564,0.270061463117599,0.0230294708162546,0.814382314682007 +Uganda,0.381430715322495,1.12982773780823,0.217632606625557,0.443185955286026,0.325766056776047,0.057069718837738,1.526362657547 +Burkina Faso,0.3502277135849,1.04328000545502,0.215844258666039,0.324367851018906,0.250864684581757,0.120328105986118,1.72721290588379 +Niger,0.161925330758095,0.993025004863739,0.26850500702858,0.36365869641304,0.228673845529556,0.138572946190834,1.87398338317871 +Malawi,0.233442038297653,0.512568831443787,0.315089583396912,0.466914653778076,0.287170469760895,0.0727116540074348,2.08178615570068 +Chad,0.438012987375259,0.953855872154236,0.0411347150802612,0.16234202682972,0.216113850474358,0.0535818822681904,2.07123804092407 +Zimbabwe,0.375846534967422,1.08309590816498,0.196763753890991,0.336384207010269,0.189143493771553,0.0953753814101219,1.59797024726868 +Lesotho,0.521021246910095,1.19009518623352,0.0,0.390661299228668,0.157497271895409,0.119094640016556,1.42983531951904 +Angola,0.858428180217743,1.10441195964813,0.0498686656355858,0.0,0.097926490008831,0.0697203353047371,1.61448240280151 +Afghanistan,0.401477217674255,0.581543326377869,0.180746778845787,0.106179520487785,0.311870932579041,0.0611578300595284,2.15080118179321 +Botswana,1.12209415435791,1.22155499458313,0.341755509376526,0.505196332931519,0.0993484482169151,0.0985831990838051,0.3779137134552 +Benin,0.431085407733917,0.435299843549728,0.209930211305618,0.425962775945663,0.207948461174965,0.0609290152788162,1.88563096523285 +Madagascar,0.305808693170547,0.913020372390747,0.375223308801651,0.189196765422821,0.208732530474663,0.0672319754958153,1.58461260795593 +Haiti,0.368610262870789,0.640449821949005,0.277321130037308,0.0303698573261499,0.489203780889511,0.0998721495270729,1.69716763496399 +Yemen,0.591683447360992,0.93538224697113,0.310080915689468,0.249463722109795,0.104125209152699,0.0567674227058887,1.34560060501099 +South Sudan,0.39724862575531,0.601323127746582,0.163486003875732,0.147062435746193,0.285670816898346,0.116793513298035,1.87956738471985 +Liberia,0.119041793048382,0.872117936611176,0.229918196797371,0.332881182432175,0.26654988527298,0.0389482490718365,1.67328596115112 +Guinea,0.244549930095673,0.791244685649872,0.194129139184952,0.348587512969971,0.264815092086792,0.110937617719173,1.55231189727783 +Togo,0.305444717407227,0.431882530450821,0.247105568647385,0.38042613863945,0.196896150708199,0.0956650152802467,1.83722925186157 +Rwanda,0.368745893239975,0.945707023143768,0.326424807310104,0.581843852996826,0.252756029367447,0.455220013856888,0.540061235427856 +Syria,0.777153134346008,0.396102607250214,0.50053334236145,0.0815394446253777,0.493663728237152,0.151347130537033,1.06157350540161 +Tanzania,0.511135876178741,1.04198980331421,0.364509284496307,0.390017777681351,0.354256361722946,0.0660351067781448,0.621130466461182 +Burundi,0.091622568666935,0.629793584346771,0.151610791683197,0.0599007532000542,0.204435184597969,0.0841479450464249,1.68302416801453 +Central African Republic,0.0,0.0,0.0187726859003305,0.270842045545578,0.280876487493515,0.0565650761127472,2.06600475311279