Introducion¶
For Context according to globalissues.org Global military expenditure stands at over $1.7 trillion in annual expenditure for 2012. the United States is considered a superpower and spends an exorbitant amount of money of their military I want to see how the United States compared to other countries Specicfiaclly BRIC countries. BRIC is an acronym referring to Brazil, Russia, India, and China countries considered on their way to being developed if not already developed. These countries are considered to have economic influence against the U.S. I wanted to see just out of my own curiosity if they can have so much influence over the U.S. economy if they can also have some influence militarily.
Method¶
In order to conduct this research to answer this problem, I will use Military spending around the world as my identifier to Military influence. I will be using a Jupyter notebook using Pandas and matlplotlib to make data Visualization in order to look at how these countries compare. I will Also Be using Scikit Learn to Apply a simple Linear Regression For a Predictive Analytic. First I found the data set on Kaggle Second, I cleaned the data, I will Get into how to lean data sets in a later video
Results¶
In [4]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
In [5]:
df = pd.read_csv('Military Expenditure.csv')
In [6]:
df = df.drop(['Indicator Name'], axis=1)
In [7]:
df.shape
Out[7]:
(264, 62)
In [8]:
df.head(300)
Out[8]:
| Name | Code | Type | 1960 | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | ... | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Aruba | ABW | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 1 | Afghanistan | AFG | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 2.518695e+08 | 2.981469e+08 | 3.258070e+08 | 2.385834e+08 | 2.171941e+08 | 2.682271e+08 | 1.995186e+08 | 1.858783e+08 | 1.914071e+08 | 1.980863e+08 |
| 2 | Angola | AGO | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 3.311193e+09 | 3.500795e+09 | 3.639496e+09 | 4.144635e+09 | 6.090752e+09 | 6.841864e+09 | 3.608299e+09 | 2.764055e+09 | 3.062873e+09 | 1.983614e+09 |
| 3 | Albania | ALB | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 1.827369e+08 | 1.858932e+08 | 1.970068e+08 | 1.832047e+08 | 1.800155e+08 | 1.781204e+08 | 1.323507e+08 | 1.308532e+08 | 1.443827e+08 | 1.804887e+08 |
| 4 | Andorra | AND | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 5 | Arab World | ARB | Regions Clubbed Geographically | NaN | NaN | 8.332295e+08 | 9.164461e+08 | 1.225339e+09 | 1.416443e+09 | 1.548666e+09 | ... | 9.150404e+10 | 9.797637e+10 | 1.080000e+11 | 1.220000e+11 | 1.430000e+11 | 1.550000e+11 | 1.380000e+11 | 1.120000e+11 | 1.190000e+11 | 1.130000e+11 |
| 6 | United Arab Emirates | ARE | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 1.383635e+10 | 1.750470e+10 | 1.918176e+10 | 1.902410e+10 | 2.356106e+10 | 2.275507e+10 | NaN | NaN | NaN | NaN |
| 7 | Argentina | ARG | Country | NaN | NaN | 3.051624e+08 | 2.422198e+08 | 2.457405e+08 | 2.524076e+08 | 2.792254e+08 | ... | 2.981852e+09 | 3.475348e+09 | 4.051930e+09 | 4.563218e+09 | 5.137974e+09 | 4.979443e+09 | 5.482617e+09 | 4.509648e+09 | 5.459644e+09 | 4.144992e+09 |
| 8 | Armenia | ARM | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 3.594993e+08 | 3.950115e+08 | 3.908714e+08 | 3.805717e+08 | 4.445519e+08 | 4.578070e+08 | 4.473798e+08 | 4.313962e+08 | 4.436104e+08 | 6.088546e+08 |
| 9 | American Samoa | ASM | Semi Autonomous Region | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 10 | Antigua and Barbuda | ATG | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 11 | Australia | AUS | Country | 4.597601e+08 | 4.709601e+08 | 4.894401e+08 | 5.532801e+08 | 6.557601e+08 | 7.873601e+08 | 9.867202e+08 | ... | 1.896014e+10 | 2.321769e+10 | 2.659720e+10 | 2.621658e+10 | 2.482526e+10 | 2.578371e+10 | 2.404557e+10 | 2.638295e+10 | 2.769111e+10 | 2.671183e+10 |
| 12 | Austria | AUT | Country | 9.155910e+07 | 9.102985e+07 | 1.000270e+08 | 1.259599e+08 | 1.645947e+08 | 1.428957e+08 | 1.677701e+08 | ... | 3.334755e+09 | 3.218351e+09 | 3.409721e+09 | 3.187227e+09 | 3.229066e+09 | 3.305159e+09 | 2.665410e+09 | 2.885947e+09 | 3.138359e+09 | 3.367460e+09 |
| 13 | Azerbaijan | AZE | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 1.472910e+09 | 1.476609e+09 | 3.080085e+09 | 3.246123e+09 | 3.367574e+09 | 3.427180e+09 | 2.943397e+09 | 1.396969e+09 | 1.528860e+09 | 1.708941e+09 |
| 14 | Burundi | BDI | Country | NaN | NaN | 8.420000e+06 | 1.012000e+06 | 1.162000e+06 | 2.153481e+06 | 2.286857e+06 | ... | NaN | NaN | NaN | 5.896666e+07 | 6.085950e+07 | 6.217729e+07 | 6.616458e+07 | 6.646284e+07 | 6.390868e+07 | 6.543660e+07 |
| 15 | Belgium | BEL | Country | 3.832202e+08 | 3.912188e+08 | 4.222208e+08 | 4.446013e+08 | 4.970592e+08 | 5.007221e+08 | 5.633779e+08 | ... | 5.620670e+09 | 5.244721e+09 | 5.499371e+09 | 5.168998e+09 | 5.263165e+09 | 5.191509e+09 | 4.202063e+09 | 4.314102e+09 | 4.484653e+09 | 4.959692e+09 |
| 16 | Benin | BEN | Country | 1.301005e+06 | 2.173204e+06 | 2.734538e+06 | 2.963072e+06 | 3.803662e+06 | 3.994924e+06 | 3.724387e+06 | ... | NaN | NaN | NaN | 7.822309e+07 | 8.600316e+07 | 9.299071e+07 | 9.089609e+07 | 7.958157e+07 | 1.161428e+08 | 9.021243e+07 |
| 17 | Burkina Faso | BFA | Country | 1.268378e+06 | 1.643154e+06 | 4.901761e+06 | 5.281288e+06 | 5.358593e+06 | 3.509330e+06 | 3.907554e+06 | ... | 1.273333e+08 | 1.237005e+08 | 1.388509e+08 | 1.477297e+08 | 1.661363e+08 | 1.771670e+08 | 1.479347e+08 | 1.494674e+08 | 1.910658e+08 | 3.124676e+08 |
| 18 | Bangladesh | BGD | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 1.258791e+09 | 1.624625e+09 | 1.801540e+09 | 1.823425e+09 | 2.047989e+09 | 2.355992e+09 | 2.815282e+09 | 3.239739e+09 | 3.594008e+09 | 3.894695e+09 |
| 19 | Bulgaria | BGR | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 9.632542e+08 | 8.934675e+08 | 8.290318e+08 | 8.075293e+08 | 8.995840e+08 | 8.357170e+08 | 6.608479e+08 | 7.554065e+08 | 8.241870e+08 | 1.095591e+09 |
| 20 | Bahrain | BHR | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 8.281915e+08 | 8.428191e+08 | 1.033511e+09 | 1.182181e+09 | 1.347606e+09 | 1.475266e+09 | 1.442021e+09 | 1.505535e+09 | 1.532713e+09 | 1.396809e+09 |
| 21 | Bahamas | BHS | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 22 | Bosnia and Herzegovina | BIH | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 2.424714e+08 | 2.199155e+08 | 2.118783e+08 | 1.973447e+08 | 1.976172e+08 | 1.903805e+08 | 1.622157e+08 | 1.579120e+08 | 1.646381e+08 | 2.211316e+08 |
| 23 | Belarus | BLR | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 6.754265e+08 | 7.676993e+08 | 7.562774e+08 | 8.170699e+08 | 9.711078e+08 | 1.010827e+09 | 7.236600e+08 | 5.972076e+08 | 6.311454e+08 | 7.151667e+08 |
| 24 | Belize | BLZ | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 1.726754e+07 | 1.533725e+07 | 1.541625e+07 | 1.521912e+07 | 1.777888e+07 | 1.991688e+07 | 1.971762e+07 | 2.171289e+07 | 2.345675e+07 | 2.308311e+07 |
| 25 | Bermuda | BMU | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 26 | Bolivia | BOL | Country | NaN | 4.935418e+06 | 5.195619e+06 | 6.404292e+06 | NaN | NaN | NaN | ... | 3.457778e+08 | 3.274131e+08 | 4.035686e+08 | 4.998700e+08 | 5.644098e+08 | 6.258851e+08 | 5.755242e+08 | 5.523813e+08 | 5.740702e+08 | 6.188421e+08 |
| 27 | Brazil | BRA | Country | 3.827298e+08 | 3.423397e+08 | 3.874490e+08 | 4.419996e+08 | 3.542279e+08 | 6.328690e+08 | 7.182166e+08 | ... | 2.564881e+10 | 3.400294e+10 | 3.693621e+10 | 3.398701e+10 | 3.287479e+10 | 3.265961e+10 | 2.461770e+10 | 2.422475e+10 | 2.928305e+10 | 2.776643e+10 |
| 28 | Barbados | BRB | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 29 | Brunei Darussalam | BRN | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 3.497597e+08 | 3.907195e+08 | 4.153715e+08 | 4.112615e+08 | 4.120943e+08 | 5.277852e+08 | 4.240220e+08 | 4.033665e+08 | 3.467068e+08 | 3.465887e+08 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 234 | Latin America & the Caribbean (IDA & IBRD coun... | TLA | Regions Clubbed Economically | 1.041102e+09 | 9.521159e+08 | 1.470078e+09 | 1.558299e+09 | 1.478294e+09 | 1.824899e+09 | 1.976690e+09 | ... | 5.652421e+10 | 6.948861e+10 | 7.469882e+10 | 7.649189e+10 | 7.973844e+10 | 7.455081e+10 | 6.156557e+10 | 5.727127e+10 | 6.557719e+10 | 6.418384e+10 |
| 235 | Timor-Leste | TLS | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 3.648100e+07 | 2.638900e+07 | 2.053000e+07 | 3.338800e+07 | 3.168300e+07 | 2.962400e+07 | 3.695900e+07 | 2.621700e+07 | 2.544200e+07 | 2.061000e+07 |
| 236 | Middle East & North Africa (IDA & IBRD countries) | TMN | Regions Clubbed Economically | NaN | NaN | 8.303662e+08 | 8.987564e+08 | 1.209936e+09 | 1.377120e+09 | 1.447511e+09 | ... | 3.533690e+10 | 3.806224e+10 | 4.305891e+10 | 4.643928e+10 | 4.811780e+10 | 4.587827e+10 | 4.418341e+10 | 4.165398e+10 | 4.288774e+10 | 4.148024e+10 |
| 237 | Tonga | TON | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 238 | South Asia (IDA & IBRD) | TSA | Regions Clubbed Economically | 9.072639e+08 | 9.755770e+08 | 1.281626e+09 | 2.029027e+09 | 2.258474e+09 | 2.580099e+09 | 2.226113e+09 | ... | 4.723932e+10 | 5.577481e+10 | 6.075238e+10 | 5.848949e+10 | 5.919605e+10 | 6.443596e+10 | 6.617543e+10 | 7.213496e+10 | 8.207734e+10 | 8.405855e+10 |
| 239 | Sub-Saharan Africa (IDA & IBRD countries) | TSS | Regions Clubbed Economically | NaN | NaN | NaN | 4.222638e+08 | 5.457222e+08 | 6.693097e+08 | 7.135174e+08 | ... | 1.783993e+10 | 1.659735e+10 | 1.823214e+10 | 1.876137e+10 | 2.175311e+10 | 2.327820e+10 | 2.025452e+10 | 1.912811e+10 | 2.163284e+10 | 1.832208e+10 |
| 240 | Trinidad and Tobago | TTO | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 1.385237e+08 | 1.430631e+08 | 1.460807e+08 | 1.687624e+08 | 2.111760e+08 | 1.888859e+08 | 2.021069e+08 | 2.162767e+08 | 2.027670e+08 | 1.693325e+08 |
| 241 | Tunisia | TUN | Country | 1.595238e+07 | 1.857143e+07 | 1.428571e+07 | 1.523810e+07 | 1.747899e+07 | 1.276190e+07 | 1.371429e+07 | ... | 5.647759e+08 | 5.711890e+08 | 7.152396e+08 | 6.812260e+08 | 7.593589e+08 | 9.083573e+08 | 9.794940e+08 | 9.877347e+08 | 8.589496e+08 | 8.442274e+08 |
| 242 | Turkey | TUR | Country | 4.688109e+08 | 3.013304e+08 | 3.303769e+08 | 3.500000e+08 | 3.808978e+08 | 4.226770e+08 | 4.420354e+08 | ... | 1.635230e+10 | 1.793937e+10 | 1.730488e+10 | 1.795824e+10 | 1.866257e+10 | 1.777217e+10 | 1.588093e+10 | 1.785398e+10 | 1.782401e+10 | 1.896711e+10 |
| 243 | Tuvalu | TUV | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 244 | Tanzania | TZA | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 2.194769e+08 | 2.827251e+08 | 3.074740e+08 | 3.597394e+08 | 4.433799e+08 | 5.072872e+08 | 5.170758e+08 | 5.442183e+08 | 6.112156e+08 | 6.754752e+08 |
| 245 | Uganda | UGA | Country | NaN | NaN | 7.279854e+05 | 2.729945e+06 | 5.487890e+06 | 1.073779e+07 | 1.426571e+07 | ... | 2.935277e+08 | 6.086859e+08 | 6.071351e+08 | 3.518382e+08 | 3.000756e+08 | 3.256628e+08 | 3.061404e+08 | 3.185517e+08 | 3.467629e+08 | 4.083676e+08 |
| 246 | Ukraine | UKR | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 3.452467e+09 | 3.729504e+09 | 3.684691e+09 | 4.136888e+09 | 4.386463e+09 | 4.033331e+09 | 3.616896e+09 | 3.423287e+09 | 3.647565e+09 | 4.750219e+09 |
| 247 | Upper middle income | UMC | Regions Clubbed Economically | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 2.730000e+11 | 3.060000e+11 | 3.520000e+11 | 3.910000e+11 | 4.260000e+11 | 4.350000e+11 | 4.130000e+11 | 4.110000e+11 | 4.320000e+11 | 4.490000e+11 |
| 248 | Uruguay | URY | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 5.770560e+08 | 7.556595e+08 | 8.248335e+08 | 9.246403e+08 | 1.045084e+09 | 1.034501e+09 | 9.699068e+08 | 9.882236e+08 | 1.165710e+09 | 1.168131e+09 |
| 249 | United States | USA | Country | 4.538000e+10 | 4.780800e+10 | 5.238100e+10 | 5.229500e+10 | 5.121300e+10 | 5.182700e+10 | 6.357200e+10 | ... | 6.690000e+11 | 6.980000e+11 | 7.110000e+11 | 6.850000e+11 | 6.400000e+11 | 6.100000e+11 | 5.960000e+11 | 6.000000e+11 | 6.060000e+11 | 6.490000e+11 |
| 250 | Uzbekistan | UZB | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 251 | St. Vincent and the Grenadines | VCT | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 252 | Venezuela | VEN | Country | 2.343577e+08 | 1.146327e+08 | 2.039007e+08 | 2.453973e+08 | 2.004598e+08 | 2.272727e+08 | 2.386364e+08 | ... | 4.055380e+09 | 3.991195e+09 | 3.577532e+09 | 5.114847e+09 | 6.199698e+09 | 1.554727e+09 | 3.205392e+08 | 2.181549e+08 | 4.648218e+08 | NaN |
| 253 | British Virgin Islands | VGB | Semi Autonomous Region | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 254 | Virgin Islands (U.S.) | VIR | Semi Autonomous Region | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 255 | Vietnam | VNM | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 2.401451e+09 | 2.672286e+09 | 2.686521e+09 | 3.360860e+09 | 3.727249e+09 | 4.255722e+09 | 4.562633e+09 | 5.017402e+09 | 5.073854e+09 | 5.500000e+09 |
| 256 | Vanuatu | VUT | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 257 | World | WLD | Regions Clubbed Geographically | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 1.550000e+12 | 1.630000e+12 | 1.730000e+12 | 1.740000e+12 | 1.740000e+12 | 1.740000e+12 | 1.640000e+12 | 1.630000e+12 | 1.700000e+12 | 1.780000e+12 |
| 258 | Samoa | WSM | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 259 | Kosovo | XKX | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 2.722709e+07 | 3.857812e+07 | 5.096886e+07 | 4.339040e+07 | 4.859768e+07 | 5.357579e+07 | 4.998416e+07 | 5.193762e+07 | 5.726263e+07 | 6.334407e+07 |
| 260 | Yemen, Rep. | YEM | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 1.420775e+09 | 1.448153e+09 | 1.612254e+09 | 1.618840e+09 | 1.648751e+09 | 1.714831e+09 | NaN | NaN | NaN | NaN |
| 261 | South Africa | ZAF | Country | 6.999997e+07 | 1.137500e+08 | 1.861999e+08 | 1.889999e+08 | 2.715999e+08 | 2.894499e+08 | 3.244499e+08 | ... | 3.592688e+09 | 4.188168e+09 | 4.594154e+09 | 4.489590e+09 | 4.118208e+09 | 3.892469e+09 | 3.488868e+09 | 3.169756e+09 | 3.638937e+09 | 3.639879e+09 |
| 262 | Zambia | ZMB | Country | NaN | NaN | NaN | NaN | NaN | NaN | NaN | ... | 2.209623e+08 | 2.801878e+08 | 3.091138e+08 | 3.463014e+08 | 3.813458e+08 | 4.436044e+08 | 3.724476e+08 | 2.995048e+08 | 3.396645e+08 | 3.780254e+08 |
| 263 | Zimbabwe | ZWE | Country | NaN | NaN | NaN | NaN | NaN | 1.560000e+07 | 1.695000e+07 | ... | NaN | 9.829300e+07 | 1.984380e+08 | 3.182720e+08 | 3.567000e+08 | 3.681000e+08 | 3.766770e+08 | 3.580650e+08 | 3.405220e+08 | 4.203640e+08 |
264 rows × 62 columns
In [9]:
Countires = df[df['Type']=='Country'] # isolates the data points to countires
Countires = Countires.drop(['Code', 'Type'], axis=1) # drops code/type
Countires = Countires.set_index('Name')
Countires.index = Countires.index.rename('Year')
Countires = Countires.dropna(axis=0, how='all') # if a column is all null drop
Countires = Countires.T # the countries are now columns
Countires = Countires.fillna(Countires.mean())
Countires.head(100)
Out[9]:
| Year | Afghanistan | Angola | Albania | United Arab Emirates | Argentina | Armenia | Australia | Austria | Azerbaijan | Burundi | ... | Uruguay | United States | Uzbekistan | Venezuela | Vietnam | Kosovo | Yemen, Rep. | South Africa | Zambia | Zimbabwe |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1960 | 1.542668e+08 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 2.590973e+09 | 2.420469e+08 | 4.597601e+08 | 9.155910e+07 | 1.059660e+09 | 3.324587e+07 | ... | 4.804815e+08 | 4.538000e+10 | 1.238692e+08 | 2.343577e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 6.999997e+07 | 1.824264e+08 | 2.694134e+08 |
| 1961 | 1.542668e+08 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 2.590973e+09 | 2.420469e+08 | 4.709601e+08 | 9.102985e+07 | 1.059660e+09 | 3.324587e+07 | ... | 4.804815e+08 | 4.780800e+10 | 1.238692e+08 | 1.146327e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 1.137500e+08 | 1.824264e+08 | 2.694134e+08 |
| 1962 | 1.542668e+08 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 3.051624e+08 | 2.420469e+08 | 4.894401e+08 | 1.000270e+08 | 1.059660e+09 | 8.420000e+06 | ... | 4.804815e+08 | 5.238100e+10 | 1.238692e+08 | 2.039007e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 1.861999e+08 | 1.824264e+08 | 2.694134e+08 |
| 1963 | 1.542668e+08 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 2.422198e+08 | 2.420469e+08 | 5.532801e+08 | 1.259599e+08 | 1.059660e+09 | 1.012000e+06 | ... | 4.804815e+08 | 5.229500e+10 | 1.238692e+08 | 2.453973e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 1.889999e+08 | 1.824264e+08 | 2.694134e+08 |
| 1964 | 1.542668e+08 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 2.457405e+08 | 2.420469e+08 | 6.557601e+08 | 1.645947e+08 | 1.059660e+09 | 1.162000e+06 | ... | 4.804815e+08 | 5.121300e+10 | 1.238692e+08 | 2.004598e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 2.715999e+08 | 1.824264e+08 | 2.694134e+08 |
| 1965 | 1.542668e+08 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 2.524076e+08 | 2.420469e+08 | 7.873601e+08 | 1.428957e+08 | 1.059660e+09 | 2.153481e+06 | ... | 4.804815e+08 | 5.182700e+10 | 1.238692e+08 | 2.272727e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 2.894499e+08 | 1.824264e+08 | 1.560000e+07 |
| 1966 | 1.542668e+08 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 2.792254e+08 | 2.420469e+08 | 9.867202e+08 | 1.677701e+08 | 1.059660e+09 | 2.286857e+06 | ... | 4.804815e+08 | 6.357200e+10 | 1.238692e+08 | 2.386364e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 3.244499e+08 | 1.824264e+08 | 1.695000e+07 |
| 1967 | 1.542668e+08 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 2.519307e+08 | 2.420469e+08 | 1.197840e+09 | 1.767673e+08 | 1.059660e+09 | 2.376000e+06 | ... | 4.804815e+08 | 7.544800e+10 | 1.238692e+08 | 2.704545e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 3.730999e+08 | 1.824264e+08 | 1.900000e+07 |
| 1968 | 1.542668e+08 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 3.371429e+08 | 2.420469e+08 | 1.321600e+09 | 1.820597e+08 | 1.059660e+09 | 2.590857e+06 | ... | 4.804815e+08 | 8.073200e+10 | 1.238692e+08 | 2.727273e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 3.996998e+08 | 1.824264e+08 | 3.060000e+07 |
| 1969 | 1.542668e+08 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 4.428571e+08 | 2.420469e+08 | 1.314880e+09 | 1.931738e+08 | 1.059660e+09 | 3.337143e+06 | ... | 4.804815e+08 | 8.144300e+10 | 1.238692e+08 | 2.636364e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 4.255998e+08 | 1.824264e+08 | 4.235000e+07 |
| 1970 | 2.939586e+06 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 4.457139e+08 | 2.420469e+08 | 1.277360e+09 | 1.995247e+08 | 1.059660e+09 | 3.324587e+07 | ... | 4.804815e+08 | 7.984600e+10 | 1.238692e+08 | 2.727273e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 4.178998e+08 | 1.824264e+08 | 4.595000e+07 |
| 1971 | 1.542668e+08 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 5.197195e+08 | 2.420469e+08 | 1.331755e+09 | 2.092776e+08 | 1.059660e+09 | 2.628571e+06 | ... | 4.804815e+08 | 7.486200e+10 | 1.238692e+08 | 3.522727e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 4.858665e+08 | 1.824264e+08 | 4.985000e+07 |
| 1972 | 1.542668e+08 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 7.660000e+08 | 2.420469e+08 | 1.484444e+09 | 2.494255e+08 | 1.059660e+09 | 3.600000e+06 | ... | 5.142928e+07 | 7.763900e+10 | 1.238692e+08 | 4.046512e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 4.923865e+08 | 1.824264e+08 | 5.845000e+07 |
| 1973 | 3.341272e+06 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 1.294000e+09 | 2.420469e+08 | 1.855729e+09 | 3.288988e+08 | 1.059660e+09 | 5.923068e+06 | ... | 1.124656e+08 | 7.835800e+10 | 1.238692e+08 | 4.209302e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 7.529263e+08 | 1.824264e+08 | 8.690000e+07 |
| 1974 | 3.581366e+06 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 1.626000e+09 | 2.420469e+08 | 2.127275e+09 | 4.225435e+08 | 1.059660e+09 | 7.682540e+06 | ... | 1.875575e+08 | 8.590600e+10 | 1.238692e+08 | 6.023256e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 1.102318e+09 | 1.824264e+08 | 1.185500e+08 |
| 1975 | 4.203665e+06 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 7.983595e+08 | 2.420469e+08 | 2.268708e+09 | 5.467244e+08 | 1.059660e+09 | 8.533333e+06 | ... | 1.565414e+08 | 8.840000e+10 | 1.238692e+08 | 7.116279e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 1.431695e+09 | 1.824264e+08 | 1.486000e+08 |
| 1976 | 5.393251e+06 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 2.050249e+09 | 2.420469e+08 | 2.441084e+09 | 5.814087e+08 | 1.059660e+09 | 9.971014e+06 | ... | 1.332324e+08 | 9.101300e+10 | 1.238692e+08 | 5.930233e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 1.677275e+09 | 1.824264e+08 | 1.998000e+08 |
| 1977 | 6.127288e+06 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 2.058224e+09 | 2.420469e+08 | 2.500485e+09 | 6.868932e+08 | 1.059660e+09 | 1.395556e+07 | ... | 1.605451e+08 | 1.010000e+11 | 1.238692e+08 | 7.488372e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 2.073738e+09 | 1.824264e+08 | 2.853500e+08 |
| 1978 | 1.542668e+08 | 3.432716e+08 | 1.131249e+08 | 1.060689e+10 | 3.103990e+09 | 2.420469e+08 | 2.816316e+09 | 8.774507e+08 | 1.059660e+09 | 1.703333e+07 | ... | 1.859437e+08 | 1.090000e+11 | 1.238692e+08 | 8.279070e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 2.067988e+09 | 1.824264e+08 | 3.477500e+08 |
| 1979 | 1.542668e+08 | 5.047129e+08 | 1.131249e+08 | 1.060689e+10 | 5.057063e+09 | 2.420469e+08 | 3.100685e+09 | 1.049973e+09 | 1.059660e+09 | 2.000000e+07 | ... | 2.793962e+08 | 1.220000e+11 | 1.238692e+08 | 9.255814e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 2.160867e+09 | 1.824264e+08 | 4.411500e+08 |
| 1980 | 1.542668e+08 | 4.973594e+08 | 1.131249e+08 | 1.060689e+10 | 6.477389e+09 | 2.420469e+08 | 3.657867e+09 | 1.152896e+09 | 1.059660e+09 | 2.776333e+07 | ... | 4.772665e+08 | 1.380000e+11 | 1.238692e+08 | 1.002326e+09 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 2.661671e+09 | 1.824264e+08 | 4.427500e+08 |
| 1981 | 1.542668e+08 | 6.188916e+08 | 1.131249e+08 | 1.060689e+10 | 5.882767e+09 | 2.420469e+08 | 4.323644e+09 | 9.693723e+08 | 1.059660e+09 | 2.999556e+07 | ... | 7.096995e+08 | 1.700000e+11 | 1.238692e+08 | 1.009302e+09 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 3.011980e+09 | 1.824264e+08 | 3.897000e+08 |
| 1982 | 1.542668e+08 | 6.684939e+08 | 1.131249e+08 | 1.060689e+10 | 2.279873e+09 | 2.420469e+08 | 4.459545e+09 | 9.953700e+08 | 1.059660e+09 | 3.666556e+07 | ... | 5.991352e+08 | 2.140000e+11 | 1.238692e+08 | 1.523256e+09 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 2.744700e+09 | 1.824264e+08 | 4.374500e+08 |
| 1983 | 1.542668e+08 | 7.786283e+08 | 1.131249e+08 | 1.060689e+10 | 2.848053e+09 | 2.420469e+08 | 4.511671e+09 | 9.919951e+08 | 1.059660e+09 | 3.436964e+07 | ... | 2.746118e+08 | 2.140000e+11 | 1.238692e+08 | 2.006977e+09 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 3.052688e+09 | 1.824264e+08 | 4.317500e+08 |
| 1984 | 1.542668e+08 | 1.066248e+09 | 1.131249e+08 | 1.060689e+10 | 2.527750e+09 | 2.420469e+08 | 4.925319e+09 | 9.497153e+08 | 1.059660e+09 | 2.993843e+07 | ... | 2.218513e+08 | 2.310000e+11 | 1.238692e+08 | 1.325415e+09 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 2.770152e+09 | 8.162410e+07 | 3.606500e+08 |
| 1985 | 1.542668e+08 | 1.146467e+09 | 1.131249e+08 | 1.060689e+10 | 2.027221e+09 | 2.420469e+08 | 4.386859e+09 | 1.036872e+09 | 1.059660e+09 | 3.222030e+07 | ... | 2.036459e+08 | 2.580000e+11 | 1.238692e+08 | 8.200000e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 2.117406e+09 | 5.319081e+07 | 3.093000e+08 |
| 1986 | 1.542668e+08 | 1.156494e+09 | 1.131249e+08 | 1.060689e+10 | 2.449546e+09 | 2.420469e+08 | 4.606710e+09 | 1.475426e+09 | 1.059660e+09 | 3.460774e+07 | ... | 2.423498e+08 | 2.810000e+11 | 1.238692e+08 | 1.004536e+09 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 2.497888e+09 | 6.162972e+07 | 3.422000e+08 |
| 1987 | 1.542668e+08 | 1.487399e+09 | 1.131249e+08 | 1.060689e+10 | 2.485660e+09 | 2.420469e+08 | 5.057136e+09 | 1.737113e+09 | 1.059660e+09 | 3.078486e+07 | ... | 2.239249e+08 | 2.880000e+11 | 1.238692e+08 | 7.655172e+08 | 1.315598e+09 | 4.416306e+07 | 1.042874e+09 | 3.595969e+09 | 6.691549e+07 | 3.926000e+08 |
| 1988 | 1.542668e+08 | 1.469383e+09 | 1.131249e+08 | 1.060689e+10 | 2.696342e+09 | 2.420469e+08 | 5.836348e+09 | 1.713955e+09 | 1.059660e+09 | 3.425549e+07 | ... | 2.599670e+08 | 2.930000e+11 | 1.238692e+08 | 1.096552e+09 | 1.305815e+09 | 4.416306e+07 | 1.042874e+09 | 4.263087e+09 | 8.674066e+07 | 4.070500e+08 |
| 1989 | 1.542668e+08 | 1.948559e+09 | 1.131249e+08 | 1.060689e+10 | 1.440922e+09 | 2.420469e+08 | 6.300016e+09 | 1.623488e+09 | 1.059660e+09 | 3.790328e+07 | ... | 2.978212e+08 | 3.040000e+11 | 1.238692e+08 | 1.196252e+09 | 4.585625e+08 | 4.416306e+07 | 1.042874e+09 | 4.181886e+09 | 1.675873e+08 | 4.086000e+08 |
| 1990 | 1.542668e+08 | 1.751153e+09 | 1.131249e+08 | 1.060689e+10 | 2.050908e+09 | 2.420469e+08 | 6.704214e+09 | 1.972702e+09 | 1.059660e+09 | 3.960235e+07 | ... | 3.283511e+08 | 3.060000e+11 | 1.238692e+08 | 7.378705e+08 | 5.119701e+08 | 4.416306e+07 | 8.070707e+08 | 4.364458e+09 | 1.393240e+08 | 4.163000e+08 |
| 1991 | 1.542668e+08 | 1.031248e+09 | 1.131249e+08 | 1.060689e+10 | 2.858779e+09 | 2.420469e+08 | 7.023509e+09 | 1.994056e+09 | 1.059660e+09 | 4.275176e+07 | ... | 2.686280e+08 | 2.800000e+11 | 1.238692e+08 | 9.837220e+08 | 4.276178e+08 | 4.416306e+07 | 1.028218e+09 | 3.874415e+09 | 8.624731e+07 | 3.760500e+08 |
| 1992 | 1.542668e+08 | 7.941388e+08 | 3.155966e+07 | 1.060689e+10 | 3.254455e+09 | 2.420469e+08 | 6.882092e+09 | 2.139925e+09 | 1.107011e+07 | 3.898648e+07 | ... | 3.669652e+08 | 3.050000e+11 | 1.238692e+08 | 9.929325e+08 | 3.329703e+08 | 4.416306e+07 | 1.306900e+09 | 3.677406e+09 | 9.775628e+07 | 2.963500e+08 |
| 1993 | 1.542668e+08 | 1.774398e+09 | 3.928984e+07 | 1.060689e+10 | 3.368550e+09 | 9.829764e+06 | 6.733829e+09 | 2.115115e+09 | 7.751938e+07 | 3.626740e+07 | ... | 4.189196e+08 | 2.980000e+11 | 1.238692e+08 | 1.287955e+09 | 2.977164e+08 | 4.416306e+07 | 1.535458e+09 | 3.254313e+09 | 5.112829e+07 | 2.498000e+08 |
| 1994 | 1.542668e+08 | 5.949912e+08 | 4.964950e+07 | 1.060689e+10 | 3.754725e+09 | 2.420469e+08 | 7.459697e+09 | 2.227561e+09 | 4.394275e+07 | 4.190975e+07 | ... | 4.504433e+08 | 2.880000e+11 | 8.692982e+07 | 9.396832e+08 | 4.313450e+08 | 4.416306e+07 | 2.353269e+09 | 3.478582e+09 | 6.286947e+07 | 2.479000e+08 |
| 1995 | 1.542668e+08 | 2.338437e+08 | 5.090752e+07 | 1.060689e+10 | 3.801950e+09 | 5.222858e+07 | 7.665878e+09 | 2.557834e+09 | 6.615997e+07 | 4.210893e+07 | ... | 5.238620e+08 | 2.790000e+11 | 1.126784e+08 | 1.198810e+09 | 2.180475e+09 | 4.416306e+07 | 8.058924e+08 | 3.292447e+09 | 5.526554e+07 | 2.629000e+08 |
| 1996 | 1.542668e+08 | 1.597419e+08 | 4.571336e+07 | 1.060689e+10 | 3.379139e+09 | 5.241027e+07 | 8.202777e+09 | 2.457903e+09 | 7.160684e+07 | 5.089398e+07 | ... | 5.756520e+08 | 2.710000e+11 | 1.722115e+08 | 7.331976e+08 | 2.180475e+09 | 4.416306e+07 | 4.160086e+08 | 2.591787e+09 | 3.783591e+07 | 2.916500e+08 |
| 1997 | 1.542668e+08 | 4.567805e+08 | 2.982549e+07 | 3.335767e+09 | 3.340670e+09 | 6.406212e+07 | 7.936885e+09 | 2.164802e+09 | 9.208669e+07 | 6.187012e+07 | ... | 5.752063e+08 | 2.760000e+11 | 2.177472e+08 | 1.541034e+09 | 2.180475e+09 | 4.416306e+07 | 3.970730e+08 | 2.414138e+09 | 4.336250e+07 | 3.114000e+08 |
| 1998 | 1.542668e+08 | 1.702783e+08 | 3.363805e+07 | 4.010347e+09 | 3.398699e+09 | 6.675757e+07 | 7.107543e+09 | 2.159796e+09 | 1.072629e+08 | 5.873604e+07 | ... | 5.732484e+08 | 2.740000e+11 | 1.238692e+08 | 1.450964e+09 | 2.180475e+09 | 4.416306e+07 | 3.845027e+08 | 1.905656e+09 | 1.824264e+08 | 3.060000e+08 |
| 1999 | 1.542668e+08 | 1.066589e+09 | 4.278421e+07 | 4.233084e+09 | 3.461731e+09 | 6.823415e+07 | 7.770251e+09 | 2.124380e+09 | 1.202622e+08 | 5.057119e+07 | ... | 5.742859e+08 | 2.810000e+11 | 2.500717e+08 | 1.408065e+09 | 2.180475e+09 | 4.416306e+07 | 3.952530e+08 | 1.738037e+09 | 5.611343e+07 | 2.634000e+08 |
| 2000 | 1.542668e+08 | 5.836213e+08 | 4.536250e+07 | 5.875834e+09 | 3.266633e+09 | 6.805214e+07 | 7.273760e+09 | 1.925557e+09 | 1.195757e+08 | 4.232155e+07 | ... | 5.559688e+08 | 3.020000e+11 | 1.153754e+08 | 1.788322e+09 | 2.180475e+09 | 4.416306e+07 | 4.736640e+08 | 1.891725e+09 | 1.824264e+08 | 3.463000e+08 |
| 2001 | 1.542668e+08 | 4.042991e+08 | 5.323205e+07 | 5.797958e+09 | 3.183592e+09 | 6.624763e+07 | 7.043146e+09 | 1.788798e+09 | 1.319637e+08 | 5.323037e+07 | ... | 5.230083e+08 | 3.130000e+11 | 5.976061e+07 | 1.911400e+09 | 2.180475e+09 | 4.416306e+07 | 5.401015e+08 | 1.802262e+09 | 1.824264e+08 | 2.867000e+08 |
| 2002 | 1.542668e+08 | 4.386862e+08 | 5.864935e+07 | 5.354118e+09 | 1.114172e+09 | 6.410641e+07 | 7.946766e+09 | 1.881747e+09 | 1.398941e+08 | 4.491007e+07 | ... | 3.442631e+08 | 3.570000e+11 | 4.591443e+07 | 1.071364e+09 | 2.180475e+09 | 4.416306e+07 | 7.373665e+08 | 1.766083e+09 | 1.824264e+08 | 6.770000e+08 |
| 2003 | 1.542668e+08 | 6.700212e+08 | 7.614288e+07 | 5.834717e+09 | 1.374874e+09 | 7.658800e+07 | 9.926649e+09 | 2.381963e+09 | 1.765522e+08 | 4.341320e+07 | ... | 2.695268e+08 | 4.150000e+11 | 5.413370e+07 | 9.878902e+08 | 8.419302e+08 | 4.416306e+07 | 8.073132e+08 | 2.574176e+09 | 1.824264e+08 | 1.948000e+08 |
| 2004 | 1.251116e+08 | 8.175336e+08 | 1.009224e+08 | 6.816882e+09 | 1.465809e+09 | 9.807049e+07 | 1.199522e+10 | 2.679282e+09 | 2.282496e+08 | 4.487238e+07 | ... | 2.793020e+08 | 4.650000e+11 | 1.238692e+08 | 1.448716e+09 | 9.150895e+08 | 4.416306e+07 | 7.354851e+08 | 3.099065e+09 | 9.834940e+07 | 2.561000e+08 |
| 2005 | 1.227272e+08 | 1.365055e+09 | 1.101409e+08 | 6.604221e+09 | 1.699579e+09 | 1.407381e+08 | 1.323780e+10 | 2.686166e+09 | 3.045215e+08 | 4.955713e+07 | ... | 3.473238e+08 | 5.030000e+11 | 1.238692e+08 | 2.665391e+09 | 1.026427e+09 | 4.416306e+07 | 8.156275e+08 | 3.566964e+09 | 1.395094e+08 | 1.314000e+08 |
| 2006 | 1.313462e+08 | 1.970309e+09 | 1.409839e+08 | 7.165419e+09 | 1.847553e+09 | 1.881891e+08 | 1.423978e+10 | 2.640185e+09 | 7.171119e+08 | 4.471750e+07 | ... | 3.927987e+08 | 5.280000e+11 | 1.238692e+08 | 3.630088e+09 | 1.286529e+09 | 4.416306e+07 | 8.221305e+08 | 3.506140e+09 | 2.058522e+08 | 1.617000e+08 |
| 2007 | 2.195802e+08 | 2.032433e+09 | 1.948403e+08 | 8.460994e+09 | 2.296448e+09 | 2.801087e+08 | 1.718644e+10 | 3.499818e+09 | 9.465998e+08 | 4.630871e+07 | ... | 4.160453e+08 | 5.570000e+11 | 1.238692e+08 | 4.351560e+09 | 1.784217e+09 | 4.416306e+07 | 1.050499e+09 | 3.525684e+09 | 2.322787e+08 | 2.694134e+08 |
| 2008 | 2.405326e+08 | 3.163591e+09 | 2.556780e+08 | 1.157168e+10 | 2.788980e+09 | 3.959944e+08 | 1.863309e+10 | 3.746732e+09 | 1.607799e+09 | 4.385632e+07 | ... | 5.677039e+08 | 6.210000e+11 | 1.238692e+08 | 5.660456e+09 | 2.137626e+09 | 9.272348e+05 | 1.196412e+09 | 3.285925e+09 | 2.780551e+08 | 2.694134e+08 |
| 2009 | 2.518695e+08 | 3.311193e+09 | 1.827369e+08 | 1.383635e+10 | 2.981852e+09 | 3.594993e+08 | 1.896014e+10 | 3.334755e+09 | 1.472910e+09 | 3.324587e+07 | ... | 5.770560e+08 | 6.690000e+11 | 1.238692e+08 | 4.055380e+09 | 2.401451e+09 | 2.722709e+07 | 1.420775e+09 | 3.592688e+09 | 2.209623e+08 | 2.694134e+08 |
| 2010 | 2.981469e+08 | 3.500795e+09 | 1.858932e+08 | 1.750470e+10 | 3.475348e+09 | 3.950115e+08 | 2.321769e+10 | 3.218351e+09 | 1.476609e+09 | 3.324587e+07 | ... | 7.556595e+08 | 6.980000e+11 | 1.238692e+08 | 3.991195e+09 | 2.672286e+09 | 3.857812e+07 | 1.448153e+09 | 4.188168e+09 | 2.801878e+08 | 9.829300e+07 |
| 2011 | 3.258070e+08 | 3.639496e+09 | 1.970068e+08 | 1.918176e+10 | 4.051930e+09 | 3.908714e+08 | 2.659720e+10 | 3.409721e+09 | 3.080085e+09 | 3.324587e+07 | ... | 8.248335e+08 | 7.110000e+11 | 1.238692e+08 | 3.577532e+09 | 2.686521e+09 | 5.096886e+07 | 1.612254e+09 | 4.594154e+09 | 3.091138e+08 | 1.984380e+08 |
| 2012 | 2.385834e+08 | 4.144635e+09 | 1.832047e+08 | 1.902410e+10 | 4.563218e+09 | 3.805717e+08 | 2.621658e+10 | 3.187227e+09 | 3.246123e+09 | 5.896666e+07 | ... | 9.246403e+08 | 6.850000e+11 | 1.238692e+08 | 5.114847e+09 | 3.360860e+09 | 4.339040e+07 | 1.618840e+09 | 4.489590e+09 | 3.463014e+08 | 3.182720e+08 |
| 2013 | 2.171941e+08 | 6.090752e+09 | 1.800155e+08 | 2.356106e+10 | 5.137974e+09 | 4.445519e+08 | 2.482526e+10 | 3.229066e+09 | 3.367574e+09 | 6.085950e+07 | ... | 1.045084e+09 | 6.400000e+11 | 1.238692e+08 | 6.199698e+09 | 3.727249e+09 | 4.859768e+07 | 1.648751e+09 | 4.118208e+09 | 3.813458e+08 | 3.567000e+08 |
| 2014 | 2.682271e+08 | 6.841864e+09 | 1.781204e+08 | 2.275507e+10 | 4.979443e+09 | 4.578070e+08 | 2.578371e+10 | 3.305159e+09 | 3.427180e+09 | 6.217729e+07 | ... | 1.034501e+09 | 6.100000e+11 | 1.238692e+08 | 1.554727e+09 | 4.255722e+09 | 5.357579e+07 | 1.714831e+09 | 3.892469e+09 | 4.436044e+08 | 3.681000e+08 |
| 2015 | 1.995186e+08 | 3.608299e+09 | 1.323507e+08 | 1.060689e+10 | 5.482617e+09 | 4.473798e+08 | 2.404557e+10 | 2.665410e+09 | 2.943397e+09 | 6.616458e+07 | ... | 9.699068e+08 | 5.960000e+11 | 1.238692e+08 | 3.205392e+08 | 4.562633e+09 | 4.998416e+07 | 1.042874e+09 | 3.488868e+09 | 3.724476e+08 | 3.766770e+08 |
| 2016 | 1.858783e+08 | 2.764055e+09 | 1.308532e+08 | 1.060689e+10 | 4.509648e+09 | 4.313962e+08 | 2.638295e+10 | 2.885947e+09 | 1.396969e+09 | 6.646284e+07 | ... | 9.882236e+08 | 6.000000e+11 | 1.238692e+08 | 2.181549e+08 | 5.017402e+09 | 5.193762e+07 | 1.042874e+09 | 3.169756e+09 | 2.995048e+08 | 3.580650e+08 |
| 2017 | 1.914071e+08 | 3.062873e+09 | 1.443827e+08 | 1.060689e+10 | 5.459644e+09 | 4.436104e+08 | 2.769111e+10 | 3.138359e+09 | 1.528860e+09 | 6.390868e+07 | ... | 1.165710e+09 | 6.060000e+11 | 1.238692e+08 | 4.648218e+08 | 5.073854e+09 | 5.726263e+07 | 1.042874e+09 | 3.638937e+09 | 3.396645e+08 | 3.405220e+08 |
| 2018 | 1.980863e+08 | 1.983614e+09 | 1.804887e+08 | 1.060689e+10 | 4.144992e+09 | 6.088546e+08 | 2.671183e+10 | 3.367460e+09 | 1.708941e+09 | 6.543660e+07 | ... | 1.168131e+09 | 6.490000e+11 | 1.238692e+08 | 1.382204e+09 | 5.500000e+09 | 6.334407e+07 | 1.042874e+09 | 3.639879e+09 | 3.780254e+08 | 4.203640e+08 |
59 rows × 166 columns
In [10]:
five_years_countries = Countires.iloc[::5, :]
five_years_countries
Out[10]:
| Year | Afghanistan | Angola | Albania | United Arab Emirates | Argentina | Armenia | Australia | Austria | Azerbaijan | Burundi | ... | Uruguay | United States | Uzbekistan | Venezuela | Vietnam | Kosovo | Yemen, Rep. | South Africa | Zambia | Zimbabwe |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1960 | 1.542668e+08 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 2.590973e+09 | 2.420469e+08 | 4.597601e+08 | 9.155910e+07 | 1.059660e+09 | 3.324587e+07 | ... | 4.804815e+08 | 4.538000e+10 | 1.238692e+08 | 2.343577e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 6.999997e+07 | 1.824264e+08 | 2.694134e+08 |
| 1965 | 1.542668e+08 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 2.524076e+08 | 2.420469e+08 | 7.873601e+08 | 1.428957e+08 | 1.059660e+09 | 2.153481e+06 | ... | 4.804815e+08 | 5.182700e+10 | 1.238692e+08 | 2.272727e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 2.894499e+08 | 1.824264e+08 | 1.560000e+07 |
| 1970 | 2.939586e+06 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 4.457139e+08 | 2.420469e+08 | 1.277360e+09 | 1.995247e+08 | 1.059660e+09 | 3.324587e+07 | ... | 4.804815e+08 | 7.984600e+10 | 1.238692e+08 | 2.727273e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 4.178998e+08 | 1.824264e+08 | 4.595000e+07 |
| 1975 | 4.203665e+06 | 1.710054e+09 | 1.131249e+08 | 1.060689e+10 | 7.983595e+08 | 2.420469e+08 | 2.268708e+09 | 5.467244e+08 | 1.059660e+09 | 8.533333e+06 | ... | 1.565414e+08 | 8.840000e+10 | 1.238692e+08 | 7.116279e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 1.431695e+09 | 1.824264e+08 | 1.486000e+08 |
| 1980 | 1.542668e+08 | 4.973594e+08 | 1.131249e+08 | 1.060689e+10 | 6.477389e+09 | 2.420469e+08 | 3.657867e+09 | 1.152896e+09 | 1.059660e+09 | 2.776333e+07 | ... | 4.772665e+08 | 1.380000e+11 | 1.238692e+08 | 1.002326e+09 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 2.661671e+09 | 1.824264e+08 | 4.427500e+08 |
| 1985 | 1.542668e+08 | 1.146467e+09 | 1.131249e+08 | 1.060689e+10 | 2.027221e+09 | 2.420469e+08 | 4.386859e+09 | 1.036872e+09 | 1.059660e+09 | 3.222030e+07 | ... | 2.036459e+08 | 2.580000e+11 | 1.238692e+08 | 8.200000e+08 | 2.180475e+09 | 4.416306e+07 | 1.042874e+09 | 2.117406e+09 | 5.319081e+07 | 3.093000e+08 |
| 1990 | 1.542668e+08 | 1.751153e+09 | 1.131249e+08 | 1.060689e+10 | 2.050908e+09 | 2.420469e+08 | 6.704214e+09 | 1.972702e+09 | 1.059660e+09 | 3.960235e+07 | ... | 3.283511e+08 | 3.060000e+11 | 1.238692e+08 | 7.378705e+08 | 5.119701e+08 | 4.416306e+07 | 8.070707e+08 | 4.364458e+09 | 1.393240e+08 | 4.163000e+08 |
| 1995 | 1.542668e+08 | 2.338437e+08 | 5.090752e+07 | 1.060689e+10 | 3.801950e+09 | 5.222858e+07 | 7.665878e+09 | 2.557834e+09 | 6.615997e+07 | 4.210893e+07 | ... | 5.238620e+08 | 2.790000e+11 | 1.126784e+08 | 1.198810e+09 | 2.180475e+09 | 4.416306e+07 | 8.058924e+08 | 3.292447e+09 | 5.526554e+07 | 2.629000e+08 |
| 2000 | 1.542668e+08 | 5.836213e+08 | 4.536250e+07 | 5.875834e+09 | 3.266633e+09 | 6.805214e+07 | 7.273760e+09 | 1.925557e+09 | 1.195757e+08 | 4.232155e+07 | ... | 5.559688e+08 | 3.020000e+11 | 1.153754e+08 | 1.788322e+09 | 2.180475e+09 | 4.416306e+07 | 4.736640e+08 | 1.891725e+09 | 1.824264e+08 | 3.463000e+08 |
| 2005 | 1.227272e+08 | 1.365055e+09 | 1.101409e+08 | 6.604221e+09 | 1.699579e+09 | 1.407381e+08 | 1.323780e+10 | 2.686166e+09 | 3.045215e+08 | 4.955713e+07 | ... | 3.473238e+08 | 5.030000e+11 | 1.238692e+08 | 2.665391e+09 | 1.026427e+09 | 4.416306e+07 | 8.156275e+08 | 3.566964e+09 | 1.395094e+08 | 1.314000e+08 |
| 2010 | 2.981469e+08 | 3.500795e+09 | 1.858932e+08 | 1.750470e+10 | 3.475348e+09 | 3.950115e+08 | 2.321769e+10 | 3.218351e+09 | 1.476609e+09 | 3.324587e+07 | ... | 7.556595e+08 | 6.980000e+11 | 1.238692e+08 | 3.991195e+09 | 2.672286e+09 | 3.857812e+07 | 1.448153e+09 | 4.188168e+09 | 2.801878e+08 | 9.829300e+07 |
| 2015 | 1.995186e+08 | 3.608299e+09 | 1.323507e+08 | 1.060689e+10 | 5.482617e+09 | 4.473798e+08 | 2.404557e+10 | 2.665410e+09 | 2.943397e+09 | 6.616458e+07 | ... | 9.699068e+08 | 5.960000e+11 | 1.238692e+08 | 3.205392e+08 | 4.562633e+09 | 4.998416e+07 | 1.042874e+09 | 3.488868e+09 | 3.724476e+08 | 3.766770e+08 |
12 rows × 166 columns
In [11]:
five_years_countries.index
Out[11]:
Index(['1960', '1965', '1970', '1975', '1980', '1985', '1990', '1995', '2000',
'2005', '2010', '2015'],
dtype='object')
In [12]:
five_years_countries['United States']
Out[12]:
1960 4.538000e+10 1965 5.182700e+10 1970 7.984600e+10 1975 8.840000e+10 1980 1.380000e+11 1985 2.580000e+11 1990 3.060000e+11 1995 2.790000e+11 2000 3.020000e+11 2005 5.030000e+11 2010 6.980000e+11 2015 5.960000e+11 Name: United States, dtype: float64
In [13]:
USA = five_years_countries['United States']
In [14]:
plt.figure(figsize=(20,10))
plt.plot(five_years_countries['United States'])
plt.title('Millitary Spending: United States')
plt.xlabel('years')
plt.ylabel('Amount of money')
plt.show()
BRIC Countires And U.S.
In [15]:
Countires.head(100)
Last_twenty_years = Countires[40:]
In [16]:
Last_twenty_years
Out[16]:
| Year | Afghanistan | Angola | Albania | United Arab Emirates | Argentina | Armenia | Australia | Austria | Azerbaijan | Burundi | ... | Uruguay | United States | Uzbekistan | Venezuela | Vietnam | Kosovo | Yemen, Rep. | South Africa | Zambia | Zimbabwe |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000 | 1.542668e+08 | 5.836213e+08 | 4.536250e+07 | 5.875834e+09 | 3.266633e+09 | 6.805214e+07 | 7.273760e+09 | 1.925557e+09 | 1.195757e+08 | 4.232155e+07 | ... | 5.559688e+08 | 3.020000e+11 | 1.153754e+08 | 1.788322e+09 | 2.180475e+09 | 4.416306e+07 | 4.736640e+08 | 1.891725e+09 | 1.824264e+08 | 3.463000e+08 |
| 2001 | 1.542668e+08 | 4.042991e+08 | 5.323205e+07 | 5.797958e+09 | 3.183592e+09 | 6.624763e+07 | 7.043146e+09 | 1.788798e+09 | 1.319637e+08 | 5.323037e+07 | ... | 5.230083e+08 | 3.130000e+11 | 5.976061e+07 | 1.911400e+09 | 2.180475e+09 | 4.416306e+07 | 5.401015e+08 | 1.802262e+09 | 1.824264e+08 | 2.867000e+08 |
| 2002 | 1.542668e+08 | 4.386862e+08 | 5.864935e+07 | 5.354118e+09 | 1.114172e+09 | 6.410641e+07 | 7.946766e+09 | 1.881747e+09 | 1.398941e+08 | 4.491007e+07 | ... | 3.442631e+08 | 3.570000e+11 | 4.591443e+07 | 1.071364e+09 | 2.180475e+09 | 4.416306e+07 | 7.373665e+08 | 1.766083e+09 | 1.824264e+08 | 6.770000e+08 |
| 2003 | 1.542668e+08 | 6.700212e+08 | 7.614288e+07 | 5.834717e+09 | 1.374874e+09 | 7.658800e+07 | 9.926649e+09 | 2.381963e+09 | 1.765522e+08 | 4.341320e+07 | ... | 2.695268e+08 | 4.150000e+11 | 5.413370e+07 | 9.878902e+08 | 8.419302e+08 | 4.416306e+07 | 8.073132e+08 | 2.574176e+09 | 1.824264e+08 | 1.948000e+08 |
| 2004 | 1.251116e+08 | 8.175336e+08 | 1.009224e+08 | 6.816882e+09 | 1.465809e+09 | 9.807049e+07 | 1.199522e+10 | 2.679282e+09 | 2.282496e+08 | 4.487238e+07 | ... | 2.793020e+08 | 4.650000e+11 | 1.238692e+08 | 1.448716e+09 | 9.150895e+08 | 4.416306e+07 | 7.354851e+08 | 3.099065e+09 | 9.834940e+07 | 2.561000e+08 |
| 2005 | 1.227272e+08 | 1.365055e+09 | 1.101409e+08 | 6.604221e+09 | 1.699579e+09 | 1.407381e+08 | 1.323780e+10 | 2.686166e+09 | 3.045215e+08 | 4.955713e+07 | ... | 3.473238e+08 | 5.030000e+11 | 1.238692e+08 | 2.665391e+09 | 1.026427e+09 | 4.416306e+07 | 8.156275e+08 | 3.566964e+09 | 1.395094e+08 | 1.314000e+08 |
| 2006 | 1.313462e+08 | 1.970309e+09 | 1.409839e+08 | 7.165419e+09 | 1.847553e+09 | 1.881891e+08 | 1.423978e+10 | 2.640185e+09 | 7.171119e+08 | 4.471750e+07 | ... | 3.927987e+08 | 5.280000e+11 | 1.238692e+08 | 3.630088e+09 | 1.286529e+09 | 4.416306e+07 | 8.221305e+08 | 3.506140e+09 | 2.058522e+08 | 1.617000e+08 |
| 2007 | 2.195802e+08 | 2.032433e+09 | 1.948403e+08 | 8.460994e+09 | 2.296448e+09 | 2.801087e+08 | 1.718644e+10 | 3.499818e+09 | 9.465998e+08 | 4.630871e+07 | ... | 4.160453e+08 | 5.570000e+11 | 1.238692e+08 | 4.351560e+09 | 1.784217e+09 | 4.416306e+07 | 1.050499e+09 | 3.525684e+09 | 2.322787e+08 | 2.694134e+08 |
| 2008 | 2.405326e+08 | 3.163591e+09 | 2.556780e+08 | 1.157168e+10 | 2.788980e+09 | 3.959944e+08 | 1.863309e+10 | 3.746732e+09 | 1.607799e+09 | 4.385632e+07 | ... | 5.677039e+08 | 6.210000e+11 | 1.238692e+08 | 5.660456e+09 | 2.137626e+09 | 9.272348e+05 | 1.196412e+09 | 3.285925e+09 | 2.780551e+08 | 2.694134e+08 |
| 2009 | 2.518695e+08 | 3.311193e+09 | 1.827369e+08 | 1.383635e+10 | 2.981852e+09 | 3.594993e+08 | 1.896014e+10 | 3.334755e+09 | 1.472910e+09 | 3.324587e+07 | ... | 5.770560e+08 | 6.690000e+11 | 1.238692e+08 | 4.055380e+09 | 2.401451e+09 | 2.722709e+07 | 1.420775e+09 | 3.592688e+09 | 2.209623e+08 | 2.694134e+08 |
| 2010 | 2.981469e+08 | 3.500795e+09 | 1.858932e+08 | 1.750470e+10 | 3.475348e+09 | 3.950115e+08 | 2.321769e+10 | 3.218351e+09 | 1.476609e+09 | 3.324587e+07 | ... | 7.556595e+08 | 6.980000e+11 | 1.238692e+08 | 3.991195e+09 | 2.672286e+09 | 3.857812e+07 | 1.448153e+09 | 4.188168e+09 | 2.801878e+08 | 9.829300e+07 |
| 2011 | 3.258070e+08 | 3.639496e+09 | 1.970068e+08 | 1.918176e+10 | 4.051930e+09 | 3.908714e+08 | 2.659720e+10 | 3.409721e+09 | 3.080085e+09 | 3.324587e+07 | ... | 8.248335e+08 | 7.110000e+11 | 1.238692e+08 | 3.577532e+09 | 2.686521e+09 | 5.096886e+07 | 1.612254e+09 | 4.594154e+09 | 3.091138e+08 | 1.984380e+08 |
| 2012 | 2.385834e+08 | 4.144635e+09 | 1.832047e+08 | 1.902410e+10 | 4.563218e+09 | 3.805717e+08 | 2.621658e+10 | 3.187227e+09 | 3.246123e+09 | 5.896666e+07 | ... | 9.246403e+08 | 6.850000e+11 | 1.238692e+08 | 5.114847e+09 | 3.360860e+09 | 4.339040e+07 | 1.618840e+09 | 4.489590e+09 | 3.463014e+08 | 3.182720e+08 |
| 2013 | 2.171941e+08 | 6.090752e+09 | 1.800155e+08 | 2.356106e+10 | 5.137974e+09 | 4.445519e+08 | 2.482526e+10 | 3.229066e+09 | 3.367574e+09 | 6.085950e+07 | ... | 1.045084e+09 | 6.400000e+11 | 1.238692e+08 | 6.199698e+09 | 3.727249e+09 | 4.859768e+07 | 1.648751e+09 | 4.118208e+09 | 3.813458e+08 | 3.567000e+08 |
| 2014 | 2.682271e+08 | 6.841864e+09 | 1.781204e+08 | 2.275507e+10 | 4.979443e+09 | 4.578070e+08 | 2.578371e+10 | 3.305159e+09 | 3.427180e+09 | 6.217729e+07 | ... | 1.034501e+09 | 6.100000e+11 | 1.238692e+08 | 1.554727e+09 | 4.255722e+09 | 5.357579e+07 | 1.714831e+09 | 3.892469e+09 | 4.436044e+08 | 3.681000e+08 |
| 2015 | 1.995186e+08 | 3.608299e+09 | 1.323507e+08 | 1.060689e+10 | 5.482617e+09 | 4.473798e+08 | 2.404557e+10 | 2.665410e+09 | 2.943397e+09 | 6.616458e+07 | ... | 9.699068e+08 | 5.960000e+11 | 1.238692e+08 | 3.205392e+08 | 4.562633e+09 | 4.998416e+07 | 1.042874e+09 | 3.488868e+09 | 3.724476e+08 | 3.766770e+08 |
| 2016 | 1.858783e+08 | 2.764055e+09 | 1.308532e+08 | 1.060689e+10 | 4.509648e+09 | 4.313962e+08 | 2.638295e+10 | 2.885947e+09 | 1.396969e+09 | 6.646284e+07 | ... | 9.882236e+08 | 6.000000e+11 | 1.238692e+08 | 2.181549e+08 | 5.017402e+09 | 5.193762e+07 | 1.042874e+09 | 3.169756e+09 | 2.995048e+08 | 3.580650e+08 |
| 2017 | 1.914071e+08 | 3.062873e+09 | 1.443827e+08 | 1.060689e+10 | 5.459644e+09 | 4.436104e+08 | 2.769111e+10 | 3.138359e+09 | 1.528860e+09 | 6.390868e+07 | ... | 1.165710e+09 | 6.060000e+11 | 1.238692e+08 | 4.648218e+08 | 5.073854e+09 | 5.726263e+07 | 1.042874e+09 | 3.638937e+09 | 3.396645e+08 | 3.405220e+08 |
| 2018 | 1.980863e+08 | 1.983614e+09 | 1.804887e+08 | 1.060689e+10 | 4.144992e+09 | 6.088546e+08 | 2.671183e+10 | 3.367460e+09 | 1.708941e+09 | 6.543660e+07 | ... | 1.168131e+09 | 6.490000e+11 | 1.238692e+08 | 1.382204e+09 | 5.500000e+09 | 6.334407e+07 | 1.042874e+09 | 3.639879e+09 | 3.780254e+08 | 4.203640e+08 |
19 rows × 166 columns
In [20]:
BZL = Last_twenty_years['Brazil']
RUS = Last_twenty_years['Russian Federation']
IND = Last_twenty_years['India']
CHN = Last_twenty_years['China']
USA = Last_twenty_years['United States']
In [21]:
USA = Last_twenty_years['United States']
In [22]:
USA
Out[22]:
2000 3.020000e+11 2001 3.130000e+11 2002 3.570000e+11 2003 4.150000e+11 2004 4.650000e+11 2005 5.030000e+11 2006 5.280000e+11 2007 5.570000e+11 2008 6.210000e+11 2009 6.690000e+11 2010 6.980000e+11 2011 7.110000e+11 2012 6.850000e+11 2013 6.400000e+11 2014 6.100000e+11 2015 5.960000e+11 2016 6.000000e+11 2017 6.060000e+11 2018 6.490000e+11 Name: United States, dtype: float64
In [27]:
# BZL + RUS + IND + CHN
BRIC = BZL + RUS + IND + CHN
In [28]:
BRIC
Out[28]:
2000 5.778952e+10 2001 6.508941e+10 2002 7.049579e+10 2003 7.682694e+10 2004 9.132680e+10 2005 1.099168e+11 2006 1.302121e+11 2007 1.602871e+11 2008 2.000012e+11 2009 2.219031e+11 2010 2.548136e+11 2011 2.948075e+11 2012 3.196733e+11 2013 3.486312e+11 2014 3.692702e+11 2015 3.563319e+11 2016 3.661077e+11 2017 3.883698e+11 2018 4.056643e+11 dtype: float64
In [22]:
plt.figure(figsize=(20,10))
USA.plot(linestyle='-', color='blue')
BZL.plot(linestyle='-', color='green')
CHN.plot(linestyle='-', color='pink')
RUS.plot(linestyle='-', color='red')
IND.plot(linestyle='-', color='orange')
plt.legend(['USA', 'Brazil', 'China', 'Russia', 'India'])
plt.title('Millitary Spending: BRIC Countires And U.S.')
plt.xlabel('years')
plt.ylabel('Amount of money')
plt.show()
Military Spending: BRIC Countries And U.S¶
In this visualization, I looked at the military spending Of the United States, Brazil, China, Russia, and India over the course of 2000-2018. Amongst all the Bric Countries the U.S. accounts for the highest military spending across the globe.
In [30]:
plt.figure(figsize=(20,10))
USA.plot(linestyle='-', color='blue')
BRIC.plot(linestyle='-', color='Black')
plt.legend(['USA', 'BRIC '])
plt.title('Millitary Spending: BRIC Combined Countires And U.S.')
plt.xlabel('years')
plt.ylabel('Amount of money')
plt.show()
Military Spending: BRIC Combined Countries And U.S.¶
In a Second Data Visualization, I combine all Bric Countries together and Compared it to U.S Military spending. Although it still does not surpass U.S military spending it is Somewhat Closer
In [31]:
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error, r2_score
from sklearn.model_selection import train_test_split
In [32]:
Year = []
for i in Last_twenty_years.index:
i = int(i)
Year.append(i)
In [36]:
x = np.unique(Year).reshape(-1,1)
y = BRIC
x_train, x_test, y_train, y_test = train_test_split(x,y, test_size =0.3, random_state=42)
reg = LinearRegression()
reg.fit(x_train, y_train)
y_pred = reg.predict(x_test)
# Plot outputs
plt.scatter(x_test, y_test, color='black')
plt.plot(x_test, y_pred, color='blue', linewidth=3)
plt.title('Predictive Millitary spending BRIC')
plt.xlabel('Years')
plt.ylabel('Increase')
plt.show()
Predictive Military spending BRIC¶
I Also Made a Logistical regression to predict that the projected combined BRIC Military spending
In [37]:
x = np.unique(Year).reshape(-1,1)
y = RUS
x_train, x_test, y_train, y_test = train_test_split(x,y, test_size =0.3, random_state=42)
reg = LinearRegression()
reg.fit(x_train, y_train)
y_pred = reg.predict(x_test)
# Plot outputs
plt.scatter(x_test, y_test, color='black')
plt.plot(x_test, y_pred, color='blue', linewidth=3)
plt.xlabel('Years')
plt.ylabel('Millitary spending Russia')
plt.show()
Discussion/Conclusion/Recommendations¶
Starting out with the original problem I wanted to see how the United States compared to other BRIC countries because if they can have influence over the U.S. economically they can presumably also have some influence militarily.
Military Spending: BRIC Countries And U.S This Line Graph Shows the military spending of the U.S. and Other BRIC Countries Individually.
Military Spending: BRIC Combined Countries And U.S. This Line Graph Shows the military spending of the U.S. and Other BRIC Countries Combined
Predictive Military spending BRIC The logistical Reggresion shows the possibility of how the Bric Counrites Coul rival the United States in military spending in the coming years.
It would be interesting to get Data from more recent years for completeness. It would also be interesting to see how the more Recent 2019-20 coronavirus outbreak will affect military spending around the world. Also it makes the argument if countries should be spending more on the military to protect themselves or is having a powerful military a result of having a prosperous country. With that it’s interesting to see how military spending will play out in the coming years.
In [ ]: