{ "cells": [ { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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exfvleobesesk
country
BENaN12.680.613.723.2
BG9.94.474.114.435.5
CZ28.49.178.118.729.0
DK54.625.980.114.421.2
DE48.39.980.416.422.0
EE23.217.376.619.728.4
IE29.128.880.718.222.4
EL16.77.880.816.933.3
ES34.012.482.516.226.0
FR25.014.982.214.728.7
HR19.47.077.318.029.4
IT18.211.882.510.523.2
CY25.316.181.513.930.3
LV23.311.473.720.830.1
LT19.714.174.016.625.8
LU41.615.181.515.120.8
HU28.610.175.320.627.8
MT34.916.881.525.224.6
NLNaN25.081.112.925.7
AT50.47.280.914.330.3
PL17.110.177.116.726.9
PT18.418.280.616.120.5
RO8.63.574.69.126.5
SI37.97.580.418.624.7
SK29.410.876.415.930.0
FI54.612.980.517.819.5
SE54.19.081.513.417.1
UK36.933.180.719.817.5
US51.710.077.737.715.5
\n", "
" ], "text/plain": [ " ex fv le obese sk\n", "country \n", "BE NaN 12.6 80.6 13.7 23.2\n", "BG 9.9 4.4 74.1 14.4 35.5\n", "CZ 28.4 9.1 78.1 18.7 29.0\n", "DK 54.6 25.9 80.1 14.4 21.2\n", "DE 48.3 9.9 80.4 16.4 22.0\n", "EE 23.2 17.3 76.6 19.7 28.4\n", "IE 29.1 28.8 80.7 18.2 22.4\n", "EL 16.7 7.8 80.8 16.9 33.3\n", "ES 34.0 12.4 82.5 16.2 26.0\n", "FR 25.0 14.9 82.2 14.7 28.7\n", "HR 19.4 7.0 77.3 18.0 29.4\n", "IT 18.2 11.8 82.5 10.5 23.2\n", "CY 25.3 16.1 81.5 13.9 30.3\n", "LV 23.3 11.4 73.7 20.8 30.1\n", "LT 19.7 14.1 74.0 16.6 25.8\n", "LU 41.6 15.1 81.5 15.1 20.8\n", "HU 28.6 10.1 75.3 20.6 27.8\n", "MT 34.9 16.8 81.5 25.2 24.6\n", "NL NaN 25.0 81.1 12.9 25.7\n", "AT 50.4 7.2 80.9 14.3 30.3\n", "PL 17.1 10.1 77.1 16.7 26.9\n", "PT 18.4 18.2 80.6 16.1 20.5\n", "RO 8.6 3.5 74.6 9.1 26.5\n", "SI 37.9 7.5 80.4 18.6 24.7\n", "SK 29.4 10.8 76.4 15.9 30.0\n", "FI 54.6 12.9 80.5 17.8 19.5\n", "SE 54.1 9.0 81.5 13.4 17.1\n", "UK 36.9 33.1 80.7 19.8 17.5\n", "US 51.7 10.0 77.7 37.7 15.5" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "\n", "health = pd.read_csv(\"health.csv\", index_col=0)\n", "health" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(72.5, 82.5)" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "le = health['le'].sort_values(ascending=False)\n", "fig, ax = plt.subplots(1, 1)\n", "ax.bar(range(len(le)), le, tick_label = le.index)\n", "ax.set_xticklabels(le.index, rotation=90, fontsize=\"small\")\n", "ax.set_ylim(le.values.max() - 10, le.values.max())" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5,3.2,'Smoking Rate')" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sk_le = health[[\"sk\", \"le\"]].sort_values(by=\"sk\", ascending=True)\n", "fig2, ax2 = plt.subplots(1, 1)\n", "ax2.scatter(sk_le[\"sk\"].values, sk_le[\"le\"].values)\n", "ax.set_ylabel(\"Life Expectancy\")\n", "ax.set_xlabel(\"Smoking Rate\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.5" } }, "nbformat": 4, "nbformat_minor": 2 }