This analysis focuses on Gun Ownership in World. The data is [here][Pandas plotting]
Gun Ownership in World |
Data
The data used is [here]
Country,"Firearm-related DR per 100K pop per year",Homicides,Suicides,Unintentional ,Undetermined ,Guns ownership (%) Argentina,6.36,2.58,1.57,0.05,2.57,10.2 Australia,0.93,0.16,0.74,0.02,0.02,21.7 Austria,2.63,0.1,2.43,0.01,0.04,30.4 Azerbaijan,0.3,0.27,0.01,0.02,0,3.5 Barbados,3.12,3.12,0,0,0,7.8 Belarus,0.23,0.14,0,0.09,0,7.3 Bolivia,0.74,0.74,0,0,0,2.8 Brazil,19.72,18.79,0.74,0.18,0.01,8 Bulgaria,1.71,0.34,0.97,0.23,0.1,6.2 Canada,1.97,0.38,1.52,0.05,0.02,30.8 Chile,1.95,1.02,0.81,0.08,0.04,10.7 Colombia,25.94,23.93,0.87,0.11,1.03,5.9 Costa Rica,7.5,5.92,1.27,0.07,0.24,9.9 Croatia,2.68,0.4,2.37,0.05,0.02,21.7 Cyprus,1.87,1.05,0.58,0.12,0.12,36.4 Czech Republic,2.01,0.15,1.66,0.09,0.13,16.3 Denmark,1.28,0.22,1.09,0.04,0.02,12 El Salvador,26.77,26.49,0.13,0.15,0,5.8 Estonia,2.67,0.15,2.11,0.15,0.3,9.2 Finland,3.25,0.32,2.94,0.02,0.02,27.5 France,2.83,0.21,2.16,0.04,0.41,31.2 Georgia,1.98,0.49,0.09,1,0.4,7.3 Germany,1.01,0.07,0.84,0.01,0.08,30.3 Greece,1.52,0.53,0.86,0.06,0,22.5 Guatemala,34.1,29.62,0.34,1.33,2.81,13.1 Honduras,67.18,66.64,0.41,0.13,0,6.2 Hungary,0.95,0.11,0.81,0.02,0.02,5.5 Iceland,1.25,0,1.25,0,0,30.3 India,0.28,0.3,0.14,0.04,0,4.2 Israel,2.1,1.04,0.67,0.05,0.26,7.3 Italy,1.31,0.35,0.87,0.09,0.02,11.9 Jamaica,30.72,30.38,0.34,0,0,8.1 Japan,0.06,0,0.04,0.01,0.01,0.6 Kuwait,0.36,0.36,0,0,0,24.8 Kyrgyzstan,1.01,0.53,0.07,0.28,0.13,0.9 Latvia,1.43,0.18,0.94,0.04,0.27,19 Luxembourg,1.19,0,1.16,0.22,0.39,15.3 Mexico,7.64,6.34,0.44,0.4,0.46,15 Moldova,1.03,0.45,0.42,0.08,0.08,7.1 Montenegro,8.91,2.42,6.49,0,0,23.1 Netherlands,0.58,0.29,0.28,0.01,0.01,3.9 New Zealand,1.07,0.18,0.84,0.05,0,22.6 Nicaragua,4.68,3.72,0.34,0.16,0.46,7.7 Norway,1.75,0.1,1.63,0.02,0,31.3 Panama,15.11,14.36,0.57,0.06,0.12,21.7 Paraguay,7.76,5.78,1.16,0.3,0.52,17 Peru,5.53,4.22,0.07,0.93,0.31,18.8 Philippines,8.9,8.9,0,0,0,4.7 Poland,0.26,0.04,0.09,0.03,0.1,1.3 Portugal,1.58,0.42,1.01,0.03,0.12,8.5 Qatar,0.15,0.15,0,0,0,19.2 Romania,0.14,0.04,0.06,0.04,0,0.7 Serbia,3.49,0.61,2.49,0.14,0.29,0.6 Singapore,0.16,0.02,0.12,0.02,0,0.5 Slovakia,1.83,0.26,0.94,0.39,0.24,8.3 Slovenia,2.64,0.2,2.34,0.05,0.05,13.5 South Africa,8.3,8.2,0.1,0.02,0.11,12.7 South Korea,0.08,0.02,0.04,0.01,0.01,1.1 Spain,0.62,0.15,0.42,0.05,0,10.4 Swaziland,37.16,37.16,0,0,0,6.4 Sweden,1.47,0.19,1.2,0.06,0.01,31.6 Switzerland,3.08,0.23,2.68,0.1,0.07,45.7 Taiwan,0.87,0.6,0.12,0.11,0.04,4.6 Ukraine,0.24,0.24,0,0,0,6.6 United Kingdom,0.23,0.06,0.15,0,0.02,6.6 United States,10.54,3.43,6.69,0.18,0.08,112.6 Uruguay,11.52,4.78,4.68,2,0.06,31.8 Venezuela,59.13,39,0.48,0.17,19.48,10.7 Zimbabwe,0.39,0.3,0.09,0,0,4.6
Code
An outline of the code is:
import numpy as np import pandas as pd import sys import statsmodels.api as sm