Economy_Sun_Spot_relationship.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Investigation into Global Economy and Solar Activity (Sunspot Number)\n",
    "\n",
    "This notebook will look at whether there is a correlation between the cycles of the sun and the cycles of economic activity on Earth around the globe.\n",
    "\n",
    "To do this, I have initially downloaded two datasets:  \n",
    "1. The Jordà-Schularick-Taylor Macrohistory Database from http://www.macrohistory.net/data/  \n",
    "2. Yearly Mean Total Sunspot Number from http://www.sidc.be/silso/datafiles  \n",
    "\n",
    "These datasets are both not very fine in time resolution (looking at only yearly values) but they do span a long period of time.\n",
    "The macrohistory database looks at 25 economic indicators from the year 1870 and across 17 advanced economies.\n",
    "The sunpost number dataset looks at the mean annual sunspot number from the year 1700.\n",
    "\n",
    "We will begin by importing the necessary modules and opening the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import modules\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import copy\n",
    "import math\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# There are three sheets in the Economic Database Excel file, and we are interested in the second sheet, which has the data \n",
    "df_eco = pd.read_excel(\"data/JSTdatasetR3.xlsx\", \n",
    "                            sheet_name = 1)\n",
    "\n",
    "# The description of each column is in sheet three:\n",
    "df_eco_descr = pd.read_excel(\"data/JSTdatasetR3.xlsx\", \n",
    "                             sheet_name = 2,\n",
    "                            header = None,\n",
    "                            names = ['Column Name','Description'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>country</th>\n",
       "      <th>iso</th>\n",
       "      <th>ifs</th>\n",
       "      <th>pop</th>\n",
       "      <th>rgdpmad</th>\n",
       "      <th>rgdppc</th>\n",
       "      <th>rconpc</th>\n",
       "      <th>gdp</th>\n",
       "      <th>iy</th>\n",
       "      <th>...</th>\n",
       "      <th>debtgdp</th>\n",
       "      <th>revenue</th>\n",
       "      <th>expenditure</th>\n",
       "      <th>xrusd</th>\n",
       "      <th>crisisJST</th>\n",
       "      <th>tloans</th>\n",
       "      <th>tmort</th>\n",
       "      <th>thh</th>\n",
       "      <th>tbus</th>\n",
       "      <th>hpnom</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1870</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1775.0</td>\n",
       "      <td>3273.239437</td>\n",
       "      <td>13.836157</td>\n",
       "      <td>21.449734</td>\n",
       "      <td>208.78</td>\n",
       "      <td>0.109266</td>\n",
       "      <td>...</td>\n",
       "      <td>0.172568</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.366946</td>\n",
       "      <td>0</td>\n",
       "      <td>54.792</td>\n",
       "      <td>1.680</td>\n",
       "      <td>1.680</td>\n",
       "      <td>53.112</td>\n",
       "      <td>0.492253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1871</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1675.0</td>\n",
       "      <td>3298.507463</td>\n",
       "      <td>13.936864</td>\n",
       "      <td>19.930801</td>\n",
       "      <td>211.56</td>\n",
       "      <td>0.104579</td>\n",
       "      <td>...</td>\n",
       "      <td>0.191799</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.369146</td>\n",
       "      <td>0</td>\n",
       "      <td>53.748</td>\n",
       "      <td>1.766</td>\n",
       "      <td>1.766</td>\n",
       "      <td>51.982</td>\n",
       "      <td>0.469877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1872</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1722.0</td>\n",
       "      <td>3553.426249</td>\n",
       "      <td>15.044247</td>\n",
       "      <td>21.085006</td>\n",
       "      <td>227.40</td>\n",
       "      <td>0.130438</td>\n",
       "      <td>...</td>\n",
       "      <td>0.154920</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.369239</td>\n",
       "      <td>0</td>\n",
       "      <td>55.822</td>\n",
       "      <td>1.470</td>\n",
       "      <td>1.470</td>\n",
       "      <td>54.352</td>\n",
       "      <td>0.484794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1873</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1769.0</td>\n",
       "      <td>3823.629169</td>\n",
       "      <td>16.219443</td>\n",
       "      <td>23.254910</td>\n",
       "      <td>266.54</td>\n",
       "      <td>0.124986</td>\n",
       "      <td>...</td>\n",
       "      <td>0.142692</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.362405</td>\n",
       "      <td>0</td>\n",
       "      <td>65.380</td>\n",
       "      <td>1.364</td>\n",
       "      <td>1.364</td>\n",
       "      <td>64.016</td>\n",
       "      <td>0.469877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1874</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1822.0</td>\n",
       "      <td>3834.796926</td>\n",
       "      <td>16.268228</td>\n",
       "      <td>23.458050</td>\n",
       "      <td>287.58</td>\n",
       "      <td>0.141960</td>\n",
       "      <td>...</td>\n",
       "      <td>0.194322</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.372223</td>\n",
       "      <td>0</td>\n",
       "      <td>71.478</td>\n",
       "      <td>1.434</td>\n",
       "      <td>1.434</td>\n",
       "      <td>70.044</td>\n",
       "      <td>0.566836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1875</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1874.0</td>\n",
       "      <td>4138.207044</td>\n",
       "      <td>17.592107</td>\n",
       "      <td>25.669505</td>\n",
       "      <td>300.74</td>\n",
       "      <td>0.160564</td>\n",
       "      <td>...</td>\n",
       "      <td>0.233687</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.360926</td>\n",
       "      <td>0</td>\n",
       "      <td>79.954</td>\n",
       "      <td>1.564</td>\n",
       "      <td>1.564</td>\n",
       "      <td>78.390</td>\n",
       "      <td>0.566836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1876</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1929.0</td>\n",
       "      <td>4007.257646</td>\n",
       "      <td>17.019033</td>\n",
       "      <td>24.806161</td>\n",
       "      <td>311.26</td>\n",
       "      <td>0.167878</td>\n",
       "      <td>...</td>\n",
       "      <td>0.158506</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.372022</td>\n",
       "      <td>0</td>\n",
       "      <td>86.206</td>\n",
       "      <td>1.860</td>\n",
       "      <td>1.860</td>\n",
       "      <td>84.346</td>\n",
       "      <td>0.522086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1877</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1995.0</td>\n",
       "      <td>4036.090226</td>\n",
       "      <td>17.145652</td>\n",
       "      <td>25.217057</td>\n",
       "      <td>313.66</td>\n",
       "      <td>0.209934</td>\n",
       "      <td>...</td>\n",
       "      <td>0.176092</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.399911</td>\n",
       "      <td>0</td>\n",
       "      <td>101.036</td>\n",
       "      <td>2.420</td>\n",
       "      <td>2.420</td>\n",
       "      <td>98.616</td>\n",
       "      <td>0.522086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1878</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>2062.0</td>\n",
       "      <td>4277.400582</td>\n",
       "      <td>18.205261</td>\n",
       "      <td>26.560551</td>\n",
       "      <td>324.30</td>\n",
       "      <td>0.181141</td>\n",
       "      <td>...</td>\n",
       "      <td>0.172852</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.412573</td>\n",
       "      <td>0</td>\n",
       "      <td>106.648</td>\n",
       "      <td>2.754</td>\n",
       "      <td>2.754</td>\n",
       "      <td>103.894</td>\n",
       "      <td>0.589211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1879</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>2127.0</td>\n",
       "      <td>4204.983545</td>\n",
       "      <td>17.887247</td>\n",
       "      <td>26.519000</td>\n",
       "      <td>334.44</td>\n",
       "      <td>0.161509</td>\n",
       "      <td>...</td>\n",
       "      <td>0.208934</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.415088</td>\n",
       "      <td>0</td>\n",
       "      <td>102.726</td>\n",
       "      <td>2.900</td>\n",
       "      <td>2.900</td>\n",
       "      <td>99.826</td>\n",
       "      <td>0.604128</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 29 columns</p>\n",
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      ],
      "text/plain": [
       "   year    country  iso  ifs     pop      rgdpmad     rgdppc     rconpc  \\\n",
       "0  1870  Australia  AUS  193  1775.0  3273.239437  13.836157  21.449734   \n",
       "1  1871  Australia  AUS  193  1675.0  3298.507463  13.936864  19.930801   \n",
       "2  1872  Australia  AUS  193  1722.0  3553.426249  15.044247  21.085006   \n",
       "3  1873  Australia  AUS  193  1769.0  3823.629169  16.219443  23.254910   \n",
       "4  1874  Australia  AUS  193  1822.0  3834.796926  16.268228  23.458050   \n",
       "5  1875  Australia  AUS  193  1874.0  4138.207044  17.592107  25.669505   \n",
       "6  1876  Australia  AUS  193  1929.0  4007.257646  17.019033  24.806161   \n",
       "7  1877  Australia  AUS  193  1995.0  4036.090226  17.145652  25.217057   \n",
       "8  1878  Australia  AUS  193  2062.0  4277.400582  18.205261  26.560551   \n",
       "9  1879  Australia  AUS  193  2127.0  4204.983545  17.887247  26.519000   \n",
       "\n",
       "      gdp        iy    ...      debtgdp  revenue  expenditure     xrusd  \\\n",
       "0  208.78  0.109266    ...     0.172568      NaN          NaN  0.366946   \n",
       "1  211.56  0.104579    ...     0.191799      NaN          NaN  0.369146   \n",
       "2  227.40  0.130438    ...     0.154920      NaN          NaN  0.369239   \n",
       "3  266.54  0.124986    ...     0.142692      NaN          NaN  0.362405   \n",
       "4  287.58  0.141960    ...     0.194322      NaN          NaN  0.372223   \n",
       "5  300.74  0.160564    ...     0.233687      NaN          NaN  0.360926   \n",
       "6  311.26  0.167878    ...     0.158506      NaN          NaN  0.372022   \n",
       "7  313.66  0.209934    ...     0.176092      NaN          NaN  0.399911   \n",
       "8  324.30  0.181141    ...     0.172852      NaN          NaN  0.412573   \n",
       "9  334.44  0.161509    ...     0.208934      NaN          NaN  0.415088   \n",
       "\n",
       "   crisisJST   tloans  tmort    thh     tbus     hpnom  \n",
       "0          0   54.792  1.680  1.680   53.112  0.492253  \n",
       "1          0   53.748  1.766  1.766   51.982  0.469877  \n",
       "2          0   55.822  1.470  1.470   54.352  0.484794  \n",
       "3          0   65.380  1.364  1.364   64.016  0.469877  \n",
       "4          0   71.478  1.434  1.434   70.044  0.566836  \n",
       "5          0   79.954  1.564  1.564   78.390  0.566836  \n",
       "6          0   86.206  1.860  1.860   84.346  0.522086  \n",
       "7          0  101.036  2.420  2.420   98.616  0.522086  \n",
       "8          0  106.648  2.754  2.754  103.894  0.589211  \n",
       "9          0  102.726  2.900  2.900   99.826  0.604128  \n",
       "\n",
       "[10 rows x 29 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View the first few values\n",
    "df_eco.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
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   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>country</th>\n",
       "      <th>iso</th>\n",
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       "      <th>revenue</th>\n",
       "      <th>expenditure</th>\n",
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       "      <th>tmort</th>\n",
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       "      <th>2489</th>\n",
       "      <td>2007</td>\n",
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       "      <td>31654.926755</td>\n",
       "      <td>102.510311</td>\n",
       "      <td>100.754900</td>\n",
       "      <td>14477.6</td>\n",
       "      <td>0.221128</td>\n",
       "      <td>...</td>\n",
       "      <td>0.625</td>\n",
       "      <td>2567.985</td>\n",
       "      <td>2728.686</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>8972.786</td>\n",
       "      <td>6262.080</td>\n",
       "      <td>5681.214</td>\n",
       "      <td>3291.572</td>\n",
       "      <td>227.811476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2490</th>\n",
       "      <td>2008</td>\n",
       "      <td>USA</td>\n",
       "      <td>USA</td>\n",
       "      <td>111</td>\n",
       "      <td>304228.000000</td>\n",
       "      <td>31251.266490</td>\n",
       "      <td>101.249145</td>\n",
       "      <td>99.624500</td>\n",
       "      <td>14718.6</td>\n",
       "      <td>0.210040</td>\n",
       "      <td>...</td>\n",
       "      <td>0.677</td>\n",
       "      <td>2523.991</td>\n",
       "      <td>2982.544</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>9296.985</td>\n",
       "      <td>6373.050</td>\n",
       "      <td>5804.884</td>\n",
       "      <td>3492.101</td>\n",
       "      <td>217.008371</td>\n",
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       "    <tr>\n",
       "      <th>2491</th>\n",
       "      <td>2009</td>\n",
       "      <td>USA</td>\n",
       "      <td>USA</td>\n",
       "      <td>111</td>\n",
       "      <td>306879.729035</td>\n",
       "      <td>29898.644216</td>\n",
       "      <td>97.579751</td>\n",
       "      <td>98.171100</td>\n",
       "      <td>14418.7</td>\n",
       "      <td>0.185363</td>\n",
       "      <td>...</td>\n",
       "      <td>0.824</td>\n",
       "      <td>2104.989</td>\n",
       "      <td>3517.677</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>8756.681</td>\n",
       "      <td>6175.145</td>\n",
       "      <td>5680.290</td>\n",
       "      <td>3076.391</td>\n",
       "      <td>205.521351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2492</th>\n",
       "      <td>2010</td>\n",
       "      <td>USA</td>\n",
       "      <td>USA</td>\n",
       "      <td>111</td>\n",
       "      <td>309262.890633</td>\n",
       "      <td>30491.344381</td>\n",
       "      <td>99.217039</td>\n",
       "      <td>99.225887</td>\n",
       "      <td>14964.4</td>\n",
       "      <td>0.179833</td>\n",
       "      <td>...</td>\n",
       "      <td>0.914</td>\n",
       "      <td>2162.706</td>\n",
       "      <td>3457.079</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>8954.963</td>\n",
       "      <td>6080.148</td>\n",
       "      <td>6021.894</td>\n",
       "      <td>2933.069</td>\n",
       "      <td>197.491811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2493</th>\n",
       "      <td>2011</td>\n",
       "      <td>USA</td>\n",
       "      <td>USA</td>\n",
       "      <td>111</td>\n",
       "      <td>311522.288099</td>\n",
       "      <td>31389.825478</td>\n",
       "      <td>100.057127</td>\n",
       "      <td>100.717681</td>\n",
       "      <td>15517.9</td>\n",
       "      <td>0.182757</td>\n",
       "      <td>...</td>\n",
       "      <td>0.960</td>\n",
       "      <td>2303.466</td>\n",
       "      <td>3603.056</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>9151.247</td>\n",
       "      <td>6102.623</td>\n",
       "      <td>6119.590</td>\n",
       "      <td>3031.657</td>\n",
       "      <td>190.361519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2494</th>\n",
       "      <td>2012</td>\n",
       "      <td>USA</td>\n",
       "      <td>USA</td>\n",
       "      <td>111</td>\n",
       "      <td>313783.682382</td>\n",
       "      <td>32443.543112</td>\n",
       "      <td>101.521814</td>\n",
       "      <td>101.427710</td>\n",
       "      <td>16155.3</td>\n",
       "      <td>0.189678</td>\n",
       "      <td>...</td>\n",
       "      <td>1.001</td>\n",
       "      <td>2449.988</td>\n",
       "      <td>3536.951</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>9444.211</td>\n",
       "      <td>6141.260</td>\n",
       "      <td>6170.594</td>\n",
       "      <td>3273.617</td>\n",
       "      <td>190.243237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2495</th>\n",
       "      <td>2013</td>\n",
       "      <td>USA</td>\n",
       "      <td>USA</td>\n",
       "      <td>111</td>\n",
       "      <td>315972.192875</td>\n",
       "      <td>33288.243430</td>\n",
       "      <td>102.504353</td>\n",
       "      <td>102.191591</td>\n",
       "      <td>16691.5</td>\n",
       "      <td>0.192086</td>\n",
       "      <td>...</td>\n",
       "      <td>1.012</td>\n",
       "      <td>2775.103</td>\n",
       "      <td>3454.647</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>9730.200</td>\n",
       "      <td>6255.000</td>\n",
       "      <td>6242.800</td>\n",
       "      <td>3487.400</td>\n",
       "      <td>204.317203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2496</th>\n",
       "      <td>2014</td>\n",
       "      <td>USA</td>\n",
       "      <td>USA</td>\n",
       "      <td>111</td>\n",
       "      <td>318281.510744</td>\n",
       "      <td>34504.070256</td>\n",
       "      <td>104.359479</td>\n",
       "      <td>104.344001</td>\n",
       "      <td>17427.6</td>\n",
       "      <td>0.196377</td>\n",
       "      <td>...</td>\n",
       "      <td>1.032</td>\n",
       "      <td>3021.487</td>\n",
       "      <td>3506.114</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10273.200</td>\n",
       "      <td>6461.200</td>\n",
       "      <td>6436.700</td>\n",
       "      <td>3836.500</td>\n",
       "      <td>215.483133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2497</th>\n",
       "      <td>2015</td>\n",
       "      <td>USA</td>\n",
       "      <td>USA</td>\n",
       "      <td>111</td>\n",
       "      <td>320568.863636</td>\n",
       "      <td>35620.354988</td>\n",
       "      <td>106.565331</td>\n",
       "      <td>107.358348</td>\n",
       "      <td>18120.7</td>\n",
       "      <td>0.198301</td>\n",
       "      <td>...</td>\n",
       "      <td>1.008</td>\n",
       "      <td>3249.886</td>\n",
       "      <td>3688.292</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>11029.400</td>\n",
       "      <td>6894.000</td>\n",
       "      <td>6806.200</td>\n",
       "      <td>4223.200</td>\n",
       "      <td>227.545428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2498</th>\n",
       "      <td>2016</td>\n",
       "      <td>USA</td>\n",
       "      <td>USA</td>\n",
       "      <td>111</td>\n",
       "      <td>322783.332739</td>\n",
       "      <td>36359.374592</td>\n",
       "      <td>107.401461</td>\n",
       "      <td>109.531019</td>\n",
       "      <td>18624.5</td>\n",
       "      <td>0.195831</td>\n",
       "      <td>...</td>\n",
       "      <td>1.058</td>\n",
       "      <td>3267.961</td>\n",
       "      <td>3852.612</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>11747.100</td>\n",
       "      <td>7370.800</td>\n",
       "      <td>7214.800</td>\n",
       "      <td>4532.300</td>\n",
       "      <td>240.418774</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      year country  iso  ifs            pop       rgdpmad      rgdppc  \\\n",
       "2489  2007     USA  USA  111  301280.000000  31654.926755  102.510311   \n",
       "2490  2008     USA  USA  111  304228.000000  31251.266490  101.249145   \n",
       "2491  2009     USA  USA  111  306879.729035  29898.644216   97.579751   \n",
       "2492  2010     USA  USA  111  309262.890633  30491.344381   99.217039   \n",
       "2493  2011     USA  USA  111  311522.288099  31389.825478  100.057127   \n",
       "2494  2012     USA  USA  111  313783.682382  32443.543112  101.521814   \n",
       "2495  2013     USA  USA  111  315972.192875  33288.243430  102.504353   \n",
       "2496  2014     USA  USA  111  318281.510744  34504.070256  104.359479   \n",
       "2497  2015     USA  USA  111  320568.863636  35620.354988  106.565331   \n",
       "2498  2016     USA  USA  111  322783.332739  36359.374592  107.401461   \n",
       "\n",
       "          rconpc      gdp        iy     ...      debtgdp   revenue  \\\n",
       "2489  100.754900  14477.6  0.221128     ...        0.625  2567.985   \n",
       "2490   99.624500  14718.6  0.210040     ...        0.677  2523.991   \n",
       "2491   98.171100  14418.7  0.185363     ...        0.824  2104.989   \n",
       "2492   99.225887  14964.4  0.179833     ...        0.914  2162.706   \n",
       "2493  100.717681  15517.9  0.182757     ...        0.960  2303.466   \n",
       "2494  101.427710  16155.3  0.189678     ...        1.001  2449.988   \n",
       "2495  102.191591  16691.5  0.192086     ...        1.012  2775.103   \n",
       "2496  104.344001  17427.6  0.196377     ...        1.032  3021.487   \n",
       "2497  107.358348  18120.7  0.198301     ...        1.008  3249.886   \n",
       "2498  109.531019  18624.5  0.195831     ...        1.058  3267.961   \n",
       "\n",
       "      expenditure  xrusd  crisisJST     tloans     tmort       thh      tbus  \\\n",
       "2489     2728.686    1.0          1   8972.786  6262.080  5681.214  3291.572   \n",
       "2490     2982.544    1.0          0   9296.985  6373.050  5804.884  3492.101   \n",
       "2491     3517.677    1.0          0   8756.681  6175.145  5680.290  3076.391   \n",
       "2492     3457.079    1.0          0   8954.963  6080.148  6021.894  2933.069   \n",
       "2493     3603.056    1.0          0   9151.247  6102.623  6119.590  3031.657   \n",
       "2494     3536.951    1.0          0   9444.211  6141.260  6170.594  3273.617   \n",
       "2495     3454.647    1.0          0   9730.200  6255.000  6242.800  3487.400   \n",
       "2496     3506.114    1.0          0  10273.200  6461.200  6436.700  3836.500   \n",
       "2497     3688.292    1.0          0  11029.400  6894.000  6806.200  4223.200   \n",
       "2498     3852.612    1.0          0  11747.100  7370.800  7214.800  4532.300   \n",
       "\n",
       "           hpnom  \n",
       "2489  227.811476  \n",
       "2490  217.008371  \n",
       "2491  205.521351  \n",
       "2492  197.491811  \n",
       "2493  190.361519  \n",
       "2494  190.243237  \n",
       "2495  204.317203  \n",
       "2496  215.483133  \n",
       "2497  227.545428  \n",
       "2498  240.418774  \n",
       "\n",
       "[10 rows x 29 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# and the last few values\n",
    "df_eco.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Column Name</th>\n",
       "      <th>Description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>year</td>\n",
       "      <td>Year</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>country</td>\n",
       "      <td>Country</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>iso</td>\n",
       "      <td>ISO 3-letter code</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ifs</td>\n",
       "      <td>IFS 3-number country-code</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pop</td>\n",
       "      <td>Population</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>rgdpmad</td>\n",
       "      <td>Real GDP per capita (PPP)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>rgdppc</td>\n",
       "      <td>Real GDP per capita (index, 2005=100)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>rconpc</td>\n",
       "      <td>Real consumption per capita (index, 2006=100)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>gdp</td>\n",
       "      <td>GDP (nominal, local currency)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>iy</td>\n",
       "      <td>Investment-to-GDP ratio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>cpi</td>\n",
       "      <td>Consumer prices (index, 1990=100)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>ca</td>\n",
       "      <td>Current account (nominal, local currency)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>imports</td>\n",
       "      <td>Imports (nominal, local currency)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>exports</td>\n",
       "      <td>Exports (nominal, local currency)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>narrowm</td>\n",
       "      <td>Narrow money (nominal, local currency)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>money</td>\n",
       "      <td>Broad money (nominal, local currency)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>stir</td>\n",
       "      <td>Short-term interest rate (nominal, percent per...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>ltrate</td>\n",
       "      <td>Long-term interest rate (nominal, percent per ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>stocks</td>\n",
       "      <td>Stock prices (nominal index)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>debtgdp</td>\n",
       "      <td>Public debt-to-GDP ratio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>revenue</td>\n",
       "      <td>Government revenues (nominal, local currency)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>expenditure</td>\n",
       "      <td>Government expenditure (nominal, local currency)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>xrusd</td>\n",
       "      <td>USD exchange rate (local currency/USD)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>crisisJST</td>\n",
       "      <td>Systemic financial crises (0-1 dummy)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>tloans</td>\n",
       "      <td>Total loans to non-financial private sector (n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>tmort</td>\n",
       "      <td>Mortgage loans to non-financial private sector...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>thh</td>\n",
       "      <td>Total loans to households (nominal, local curr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>tbus</td>\n",
       "      <td>Total loans to business (nominal, local currency)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>hpnom</td>\n",
       "      <td>House prices (nominal index, 1990=100)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Column Name                                        Description\n",
       "0          year                                               Year\n",
       "1       country                                            Country\n",
       "2           iso                                  ISO 3-letter code\n",
       "3           ifs                          IFS 3-number country-code\n",
       "4           pop                                         Population\n",
       "5       rgdpmad                          Real GDP per capita (PPP)\n",
       "6        rgdppc              Real GDP per capita (index, 2005=100)\n",
       "7        rconpc      Real consumption per capita (index, 2006=100)\n",
       "8           gdp                      GDP (nominal, local currency)\n",
       "9            iy                            Investment-to-GDP ratio\n",
       "10          cpi                  Consumer prices (index, 1990=100)\n",
       "11           ca          Current account (nominal, local currency)\n",
       "12      imports                  Imports (nominal, local currency)\n",
       "13      exports                  Exports (nominal, local currency)\n",
       "14      narrowm             Narrow money (nominal, local currency)\n",
       "15        money              Broad money (nominal, local currency)\n",
       "16         stir  Short-term interest rate (nominal, percent per...\n",
       "17       ltrate  Long-term interest rate (nominal, percent per ...\n",
       "18       stocks                       Stock prices (nominal index)\n",
       "19      debtgdp                           Public debt-to-GDP ratio\n",
       "20      revenue      Government revenues (nominal, local currency)\n",
       "21  expenditure   Government expenditure (nominal, local currency)\n",
       "22        xrusd             USD exchange rate (local currency/USD)\n",
       "23    crisisJST              Systemic financial crises (0-1 dummy)\n",
       "24       tloans  Total loans to non-financial private sector (n...\n",
       "25        tmort  Mortgage loans to non-financial private sector...\n",
       "26          thh  Total loans to households (nominal, local curr...\n",
       "27         tbus  Total loans to business (nominal, local currency)\n",
       "28        hpnom             House prices (nominal index, 1990=100)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# and the description of each column\n",
    "df_eco_descr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now lets import the sunspot data\n",
    "df_sun = pd.read_csv(\"data/SN_y_tot_V2.0.csv\", \n",
    "                     sep = ';', \n",
    "                     header = None, \n",
    "                     names = ['Year', 'Mean Total', 'Std. Deviation', 'No. Observations', 'Definitiveness Indicator'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Mean Total</th>\n",
       "      <th>Std. Deviation</th>\n",
       "      <th>No. Observations</th>\n",
       "      <th>Definitiveness Indicator</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1700.5</td>\n",
       "      <td>8.3</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
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       "      <th>1</th>\n",
       "      <td>1701.5</td>\n",
       "      <td>18.3</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1702.5</td>\n",
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       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1703.5</td>\n",
       "      <td>38.3</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1704.5</td>\n",
       "      <td>60.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1705.5</td>\n",
       "      <td>96.7</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1706.5</td>\n",
       "      <td>48.3</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1707.5</td>\n",
       "      <td>33.3</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1708.5</td>\n",
       "      <td>16.7</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1709.5</td>\n",
       "      <td>13.3</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year  Mean Total  Std. Deviation  No. Observations  \\\n",
       "0  1700.5         8.3            -1.0                -1   \n",
       "1  1701.5        18.3            -1.0                -1   \n",
       "2  1702.5        26.7            -1.0                -1   \n",
       "3  1703.5        38.3            -1.0                -1   \n",
       "4  1704.5        60.0            -1.0                -1   \n",
       "5  1705.5        96.7            -1.0                -1   \n",
       "6  1706.5        48.3            -1.0                -1   \n",
       "7  1707.5        33.3            -1.0                -1   \n",
       "8  1708.5        16.7            -1.0                -1   \n",
       "9  1709.5        13.3            -1.0                -1   \n",
       "\n",
       "   Definitiveness Indicator  \n",
       "0                         1  \n",
       "1                         1  \n",
       "2                         1  \n",
       "3                         1  \n",
       "4                         1  \n",
       "5                         1  \n",
       "6                         1  \n",
       "7                         1  \n",
       "8                         1  \n",
       "9                         1  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Again look at the first few records\n",
    "df_sun.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Mean Total</th>\n",
       "      <th>Std. Deviation</th>\n",
       "      <th>No. Observations</th>\n",
       "      <th>Definitiveness Indicator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>2009.5</td>\n",
       "      <td>4.8</td>\n",
       "      <td>2.5</td>\n",
       "      <td>6465</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>2010.5</td>\n",
       "      <td>24.9</td>\n",
       "      <td>3.4</td>\n",
       "      <td>6328</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>2011.5</td>\n",
       "      <td>80.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>6077</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>2012.5</td>\n",
       "      <td>84.5</td>\n",
       "      <td>6.7</td>\n",
       "      <td>5753</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>2013.5</td>\n",
       "      <td>94.0</td>\n",
       "      <td>6.9</td>\n",
       "      <td>5347</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>2014.5</td>\n",
       "      <td>113.3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5273</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>2015.5</td>\n",
       "      <td>69.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>8903</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>2016.5</td>\n",
       "      <td>39.8</td>\n",
       "      <td>3.9</td>\n",
       "      <td>9940</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>2017.5</td>\n",
       "      <td>21.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>11444</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>2018.5</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>12250</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Year  Mean Total  Std. Deviation  No. Observations  \\\n",
       "309  2009.5         4.8             2.5              6465   \n",
       "310  2010.5        24.9             3.4              6328   \n",
       "311  2011.5        80.8             6.7              6077   \n",
       "312  2012.5        84.5             6.7              5753   \n",
       "313  2013.5        94.0             6.9              5347   \n",
       "314  2014.5       113.3             8.0              5273   \n",
       "315  2015.5        69.8             6.4              8903   \n",
       "316  2016.5        39.8             3.9              9940   \n",
       "317  2017.5        21.7             2.5             11444   \n",
       "318  2018.5         7.0             1.1             12250   \n",
       "\n",
       "     Definitiveness Indicator  \n",
       "309                         1  \n",
       "310                         1  \n",
       "311                         1  \n",
       "312                         1  \n",
       "313                         1  \n",
       "314                         1  \n",
       "315                         1  \n",
       "316                         1  \n",
       "317                         1  \n",
       "318                         0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# and the last few\n",
    "df_sun.tail(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on the sunspot data, we can see that we will have to round the Year variable to ensure that it matches up with the global yearly economic data seen in the previous dataframe. This can be done by round down the values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Apply the floor function to each value in the Year column\n",
    "df_sun['Year'] = df_sun['Year'].apply(math.floor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The values in the year column in the df_eco dataframe are of type:\n",
    "(type(df_eco['year'][0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Therefore to convert to the integer64 format of numpy, like the year column in df_eco we do: \n",
    "df_sun['Year'] = np.int64(df_sun['Year'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Mean Total</th>\n",
       "      <th>Std. Deviation</th>\n",
       "      <th>No. Observations</th>\n",
       "      <th>Definitiveness Indicator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1700</td>\n",
       "      <td>8.3</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1701</td>\n",
       "      <td>18.3</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1702</td>\n",
       "      <td>26.7</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1703</td>\n",
       "      <td>38.3</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1704</td>\n",
       "      <td>60.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Year  Mean Total  Std. Deviation  No. Observations  \\\n",
       "0  1700         8.3            -1.0                -1   \n",
       "1  1701        18.3            -1.0                -1   \n",
       "2  1702        26.7            -1.0                -1   \n",
       "3  1703        38.3            -1.0                -1   \n",
       "4  1704        60.0            -1.0                -1   \n",
       "\n",
       "   Definitiveness Indicator  \n",
       "0                         1  \n",
       "1                         1  \n",
       "2                         1  \n",
       "3                         1  \n",
       "4                         1  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View the first few values to see that it is reasonable\n",
    "df_sun.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Which is what we were looking for"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have fixed up that column of data, let's see if there is any other problems with the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "319\n",
      "319\n"
     ]
    }
   ],
   "source": [
    "# Number of years\n",
    "print(df_sun['Year'][len(df_sun['Year'])-1] - df_sun['Year'][0] + 1)\n",
    "\n",
    "# Length of dataframe:\n",
    "print(len(df_sun['Year']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2499\n",
      "2499\n"
     ]
    }
   ],
   "source": [
    "# Number of countries times number of years\n",
    "print(17*(2016-1870+1))\n",
    "      \n",
    "# Length of dataframe\n",
    "print(len(df_eco['year']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's start with some simple analysis of the economic data. We can begin by adding a new column for the economic growth and population growth of each country, year on year."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Australia', 'Belgium', 'Canada', 'Switzerland', 'Germany',\n",
       "       'Denmark', 'Spain', 'Finland', 'France', 'UK', 'Italy', 'Japan',\n",
       "       'Netherlands', 'Norway', 'Portugal', 'Sweden', 'USA'], dtype=object)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Unique countries\n",
    "ctry_arr = df_eco['country'].unique()\n",
    "ctry_arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>735</th>\n",
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       "      <th>736</th>\n",
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       "      <td>1993.037310</td>\n",
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       "      <td>13.51</td>\n",
       "      <td>0.685</td>\n",
       "      <td>0.124088</td>\n",
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       "      <td>0.722</td>\n",
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       "      <td>3.303293</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>738</th>\n",
       "      <td>1873</td>\n",
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       "      <td>128</td>\n",
       "      <td>1935.0</td>\n",
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       "      <td>128</td>\n",
       "      <td>1954.0</td>\n",
       "      <td>2096.299898</td>\n",
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       "      <td>14.50</td>\n",
       "      <td>0.809</td>\n",
       "      <td>0.144623</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.064657</td>\n",
       "      <td>0.065037</td>\n",
       "      <td>3.345723</td>\n",
       "      <td>0</td>\n",
       "      <td>0.248829</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>740</th>\n",
       "      <td>1875</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>DNK</td>\n",
       "      <td>128</td>\n",
       "      <td>1973.0</td>\n",
       "      <td>2111.601622</td>\n",
       "      <td>9.417805</td>\n",
       "      <td>13.20</td>\n",
       "      <td>0.808</td>\n",
       "      <td>0.146040</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.051494</td>\n",
       "      <td>0.046842</td>\n",
       "      <td>3.254728</td>\n",
       "      <td>0</td>\n",
       "      <td>0.280730</td>\n",
       "      <td>0.122</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.279763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>741</th>\n",
       "      <td>1876</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>DNK</td>\n",
       "      <td>128</td>\n",
       "      <td>1994.0</td>\n",
       "      <td>2130.330993</td>\n",
       "      <td>9.506235</td>\n",
       "      <td>14.46</td>\n",
       "      <td>0.832</td>\n",
       "      <td>0.137019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.047017</td>\n",
       "      <td>0.049529</td>\n",
       "      <td>3.345754</td>\n",
       "      <td>0</td>\n",
       "      <td>0.308803</td>\n",
       "      <td>0.136</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.323145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>742</th>\n",
       "      <td>1877</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>DNK</td>\n",
       "      <td>128</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>2046.151560</td>\n",
       "      <td>9.124699</td>\n",
       "      <td>14.04</td>\n",
       "      <td>0.773</td>\n",
       "      <td>0.125485</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.046956</td>\n",
       "      <td>0.043880</td>\n",
       "      <td>3.582839</td>\n",
       "      <td>1</td>\n",
       "      <td>0.311355</td>\n",
       "      <td>0.149</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.312300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>743</th>\n",
       "      <td>1878</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>DNK</td>\n",
       "      <td>128</td>\n",
       "      <td>2043.0</td>\n",
       "      <td>2102.085169</td>\n",
       "      <td>9.377327</td>\n",
       "      <td>14.36</td>\n",
       "      <td>0.758</td>\n",
       "      <td>0.110818</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.046065</td>\n",
       "      <td>0.042114</td>\n",
       "      <td>3.718219</td>\n",
       "      <td>0</td>\n",
       "      <td>0.312631</td>\n",
       "      <td>0.165</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.247227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>744</th>\n",
       "      <td>1879</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>DNK</td>\n",
       "      <td>128</td>\n",
       "      <td>2064.0</td>\n",
       "      <td>2148.546512</td>\n",
       "      <td>9.589580</td>\n",
       "      <td>14.69</td>\n",
       "      <td>0.759</td>\n",
       "      <td>0.110672</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.047522</td>\n",
       "      <td>0.044171</td>\n",
       "      <td>3.738900</td>\n",
       "      <td>0</td>\n",
       "      <td>0.329220</td>\n",
       "      <td>0.181</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.203845</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     year  country  iso  ifs     pop      rgdpmad    rgdppc  rconpc    gdp  \\\n",
       "735  1870  Denmark  DNK  128  1888.0  2003.177966  8.920334   13.06  0.669   \n",
       "736  1871  Denmark  DNK  128  1903.0  1993.037310  8.896254   13.51  0.685   \n",
       "737  1872  Denmark  DNK  128  1918.0  2086.970803  9.294294   14.23  0.722   \n",
       "738  1873  Denmark  DNK  128  1935.0  2056.573643  9.177632   14.50  0.781   \n",
       "739  1874  Denmark  DNK  128  1954.0  2096.299898  9.339650   14.50  0.809   \n",
       "740  1875  Denmark  DNK  128  1973.0  2111.601622  9.417805   13.20  0.808   \n",
       "741  1876  Denmark  DNK  128  1994.0  2130.330993  9.506235   14.46  0.832   \n",
       "742  1877  Denmark  DNK  128  2019.0  2046.151560  9.124699   14.04  0.773   \n",
       "743  1878  Denmark  DNK  128  2043.0  2102.085169  9.377327   14.36  0.758   \n",
       "744  1879  Denmark  DNK  128  2064.0  2148.546512  9.589580   14.69  0.759   \n",
       "\n",
       "           iy    ...     debtgdp   revenue  expenditure     xrusd  crisisJST  \\\n",
       "735  0.121076    ...         NaN  0.042839     0.043808  3.226296          0   \n",
       "736  0.124088    ...         NaN  0.045034     0.041130  3.297234          0   \n",
       "737  0.128809    ...         NaN  0.049890     0.047356  3.303293          0   \n",
       "738  0.138284    ...         NaN  0.048404     0.046704  3.259824          0   \n",
       "739  0.144623    ...         NaN  0.064657     0.065037  3.345723          0   \n",
       "740  0.146040    ...         NaN  0.051494     0.046842  3.254728          0   \n",
       "741  0.137019    ...         NaN  0.047017     0.049529  3.345754          0   \n",
       "742  0.125485    ...         NaN  0.046956     0.043880  3.582839          1   \n",
       "743  0.110818    ...         NaN  0.046065     0.042114  3.718219          0   \n",
       "744  0.110672    ...         NaN  0.047522     0.044171  3.738900          0   \n",
       "\n",
       "       tloans  tmort  thh  tbus     hpnom  \n",
       "735  0.154402    NaN  NaN   NaN       NaN  \n",
       "736  0.160782    NaN  NaN   NaN       NaN  \n",
       "737  0.181199    NaN  NaN   NaN       NaN  \n",
       "738  0.213100    NaN  NaN   NaN       NaN  \n",
       "739  0.248829    NaN  NaN   NaN       NaN  \n",
       "740  0.280730  0.122  NaN   NaN  1.279763  \n",
       "741  0.308803  0.136  NaN   NaN  1.323145  \n",
       "742  0.311355  0.149  NaN   NaN  1.312300  \n",
       "743  0.312631  0.165  NaN   NaN  1.247227  \n",
       "744  0.329220  0.181  NaN   NaN  1.203845  \n",
       "\n",
       "[10 rows x 29 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's looks at an example, in this case, a few rows from Denmark\n",
    "df_eco.loc[df_eco['country'] == ctry_arr[5]].head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now we just create a new column and run through all the countries in the array and assign percentage change values \n",
    "df_eco['gdpgrowth'] = 0\n",
    "\n",
    "for country in ctry_arr:\n",
    "    df_eco.loc[df_eco['country'] == country, 'gdpgrowth'] = df_eco.loc[df_eco['country'] == country,'gdp'].pct_change()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>country</th>\n",
       "      <th>iso</th>\n",
       "      <th>ifs</th>\n",
       "      <th>pop</th>\n",
       "      <th>rgdpmad</th>\n",
       "      <th>rgdppc</th>\n",
       "      <th>rconpc</th>\n",
       "      <th>gdp</th>\n",
       "      <th>iy</th>\n",
       "      <th>...</th>\n",
       "      <th>revenue</th>\n",
       "      <th>expenditure</th>\n",
       "      <th>xrusd</th>\n",
       "      <th>crisisJST</th>\n",
       "      <th>tloans</th>\n",
       "      <th>tmort</th>\n",
       "      <th>thh</th>\n",
       "      <th>tbus</th>\n",
       "      <th>hpnom</th>\n",
       "      <th>gdpgrowth</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1870</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1775.0</td>\n",
       "      <td>3273.239437</td>\n",
       "      <td>13.836157</td>\n",
       "      <td>21.449734</td>\n",
       "      <td>208.78</td>\n",
       "      <td>0.109266</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.366946</td>\n",
       "      <td>0</td>\n",
       "      <td>54.792</td>\n",
       "      <td>1.680</td>\n",
       "      <td>1.680</td>\n",
       "      <td>53.112</td>\n",
       "      <td>0.492253</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1871</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1675.0</td>\n",
       "      <td>3298.507463</td>\n",
       "      <td>13.936864</td>\n",
       "      <td>19.930801</td>\n",
       "      <td>211.56</td>\n",
       "      <td>0.104579</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.369146</td>\n",
       "      <td>0</td>\n",
       "      <td>53.748</td>\n",
       "      <td>1.766</td>\n",
       "      <td>1.766</td>\n",
       "      <td>51.982</td>\n",
       "      <td>0.469877</td>\n",
       "      <td>0.013315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1872</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1722.0</td>\n",
       "      <td>3553.426249</td>\n",
       "      <td>15.044247</td>\n",
       "      <td>21.085006</td>\n",
       "      <td>227.40</td>\n",
       "      <td>0.130438</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.369239</td>\n",
       "      <td>0</td>\n",
       "      <td>55.822</td>\n",
       "      <td>1.470</td>\n",
       "      <td>1.470</td>\n",
       "      <td>54.352</td>\n",
       "      <td>0.484794</td>\n",
       "      <td>0.074872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1873</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1769.0</td>\n",
       "      <td>3823.629169</td>\n",
       "      <td>16.219443</td>\n",
       "      <td>23.254910</td>\n",
       "      <td>266.54</td>\n",
       "      <td>0.124986</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.362405</td>\n",
       "      <td>0</td>\n",
       "      <td>65.380</td>\n",
       "      <td>1.364</td>\n",
       "      <td>1.364</td>\n",
       "      <td>64.016</td>\n",
       "      <td>0.469877</td>\n",
       "      <td>0.172120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1874</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1822.0</td>\n",
       "      <td>3834.796926</td>\n",
       "      <td>16.268228</td>\n",
       "      <td>23.458050</td>\n",
       "      <td>287.58</td>\n",
       "      <td>0.141960</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.372223</td>\n",
       "      <td>0</td>\n",
       "      <td>71.478</td>\n",
       "      <td>1.434</td>\n",
       "      <td>1.434</td>\n",
       "      <td>70.044</td>\n",
       "      <td>0.566836</td>\n",
       "      <td>0.078937</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   year    country  iso  ifs     pop      rgdpmad     rgdppc     rconpc  \\\n",
       "0  1870  Australia  AUS  193  1775.0  3273.239437  13.836157  21.449734   \n",
       "1  1871  Australia  AUS  193  1675.0  3298.507463  13.936864  19.930801   \n",
       "2  1872  Australia  AUS  193  1722.0  3553.426249  15.044247  21.085006   \n",
       "3  1873  Australia  AUS  193  1769.0  3823.629169  16.219443  23.254910   \n",
       "4  1874  Australia  AUS  193  1822.0  3834.796926  16.268228  23.458050   \n",
       "\n",
       "      gdp        iy    ...      revenue  expenditure     xrusd  crisisJST  \\\n",
       "0  208.78  0.109266    ...          NaN          NaN  0.366946          0   \n",
       "1  211.56  0.104579    ...          NaN          NaN  0.369146          0   \n",
       "2  227.40  0.130438    ...          NaN          NaN  0.369239          0   \n",
       "3  266.54  0.124986    ...          NaN          NaN  0.362405          0   \n",
       "4  287.58  0.141960    ...          NaN          NaN  0.372223          0   \n",
       "\n",
       "   tloans  tmort    thh    tbus     hpnom  gdpgrowth  \n",
       "0  54.792  1.680  1.680  53.112  0.492253        NaN  \n",
       "1  53.748  1.766  1.766  51.982  0.469877   0.013315  \n",
       "2  55.822  1.470  1.470  54.352  0.484794   0.074872  \n",
       "3  65.380  1.364  1.364  64.016  0.469877   0.172120  \n",
       "4  71.478  1.434  1.434  70.044  0.566836   0.078937  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eco.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>0</td>\n",
       "      <td>9730.200</td>\n",
       "      <td>6255.00</td>\n",
       "      <td>6242.800</td>\n",
       "      <td>3487.400</td>\n",
       "      <td>204.317203</td>\n",
       "      <td>0.033190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2496</th>\n",
       "      <td>2014</td>\n",
       "      <td>USA</td>\n",
       "      <td>USA</td>\n",
       "      <td>111</td>\n",
       "      <td>318281.510744</td>\n",
       "      <td>34504.070256</td>\n",
       "      <td>104.359479</td>\n",
       "      <td>104.344001</td>\n",
       "      <td>17427.6</td>\n",
       "      <td>0.196377</td>\n",
       "      <td>...</td>\n",
       "      <td>3021.487</td>\n",
       "      <td>3506.114</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10273.200</td>\n",
       "      <td>6461.20</td>\n",
       "      <td>6436.700</td>\n",
       "      <td>3836.500</td>\n",
       "      <td>215.483133</td>\n",
       "      <td>0.044100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2497</th>\n",
       "      <td>2015</td>\n",
       "      <td>USA</td>\n",
       "      <td>USA</td>\n",
       "      <td>111</td>\n",
       "      <td>320568.863636</td>\n",
       "      <td>35620.354988</td>\n",
       "      <td>106.565331</td>\n",
       "      <td>107.358348</td>\n",
       "      <td>18120.7</td>\n",
       "      <td>0.198301</td>\n",
       "      <td>...</td>\n",
       "      <td>3249.886</td>\n",
       "      <td>3688.292</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>11029.400</td>\n",
       "      <td>6894.00</td>\n",
       "      <td>6806.200</td>\n",
       "      <td>4223.200</td>\n",
       "      <td>227.545428</td>\n",
       "      <td>0.039770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2498</th>\n",
       "      <td>2016</td>\n",
       "      <td>USA</td>\n",
       "      <td>USA</td>\n",
       "      <td>111</td>\n",
       "      <td>322783.332739</td>\n",
       "      <td>36359.374592</td>\n",
       "      <td>107.401461</td>\n",
       "      <td>109.531019</td>\n",
       "      <td>18624.5</td>\n",
       "      <td>0.195831</td>\n",
       "      <td>...</td>\n",
       "      <td>3267.961</td>\n",
       "      <td>3852.612</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>11747.100</td>\n",
       "      <td>7370.80</td>\n",
       "      <td>7214.800</td>\n",
       "      <td>4532.300</td>\n",
       "      <td>240.418774</td>\n",
       "      <td>0.027802</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      year country  iso  ifs            pop       rgdpmad      rgdppc  \\\n",
       "2494  2012     USA  USA  111  313783.682382  32443.543112  101.521814   \n",
       "2495  2013     USA  USA  111  315972.192875  33288.243430  102.504353   \n",
       "2496  2014     USA  USA  111  318281.510744  34504.070256  104.359479   \n",
       "2497  2015     USA  USA  111  320568.863636  35620.354988  106.565331   \n",
       "2498  2016     USA  USA  111  322783.332739  36359.374592  107.401461   \n",
       "\n",
       "          rconpc      gdp        iy    ...       revenue  expenditure  xrusd  \\\n",
       "2494  101.427710  16155.3  0.189678    ...      2449.988     3536.951    1.0   \n",
       "2495  102.191591  16691.5  0.192086    ...      2775.103     3454.647    1.0   \n",
       "2496  104.344001  17427.6  0.196377    ...      3021.487     3506.114    1.0   \n",
       "2497  107.358348  18120.7  0.198301    ...      3249.886     3688.292    1.0   \n",
       "2498  109.531019  18624.5  0.195831    ...      3267.961     3852.612    1.0   \n",
       "\n",
       "      crisisJST     tloans    tmort       thh      tbus       hpnom  gdpgrowth  \n",
       "2494          0   9444.211  6141.26  6170.594  3273.617  190.243237   0.041075  \n",
       "2495          0   9730.200  6255.00  6242.800  3487.400  204.317203   0.033190  \n",
       "2496          0  10273.200  6461.20  6436.700  3836.500  215.483133   0.044100  \n",
       "2497          0  11029.400  6894.00  6806.200  4223.200  227.545428   0.039770  \n",
       "2498          0  11747.100  7370.80  7214.800  4532.300  240.418774   0.027802  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eco.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now the same for population:\n",
    "df_eco['popgrowth'] = 0\n",
    "\n",
    "for country in ctry_arr:\n",
    "    df_eco.loc[df_eco['country'] == country, 'popgrowth'] = df_eco.loc[df_eco['country'] == country,'pop'].pct_change()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>country</th>\n",
       "      <th>iso</th>\n",
       "      <th>ifs</th>\n",
       "      <th>pop</th>\n",
       "      <th>rgdpmad</th>\n",
       "      <th>rgdppc</th>\n",
       "      <th>rconpc</th>\n",
       "      <th>gdp</th>\n",
       "      <th>iy</th>\n",
       "      <th>...</th>\n",
       "      <th>expenditure</th>\n",
       "      <th>xrusd</th>\n",
       "      <th>crisisJST</th>\n",
       "      <th>tloans</th>\n",
       "      <th>tmort</th>\n",
       "      <th>thh</th>\n",
       "      <th>tbus</th>\n",
       "      <th>hpnom</th>\n",
       "      <th>gdpgrowth</th>\n",
       "      <th>popgrowth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1870</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1775.0</td>\n",
       "      <td>3273.239437</td>\n",
       "      <td>13.836157</td>\n",
       "      <td>21.449734</td>\n",
       "      <td>208.78</td>\n",
       "      <td>0.109266</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.366946</td>\n",
       "      <td>0</td>\n",
       "      <td>54.792</td>\n",
       "      <td>1.680</td>\n",
       "      <td>1.680</td>\n",
       "      <td>53.112</td>\n",
       "      <td>0.492253</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1871</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1675.0</td>\n",
       "      <td>3298.507463</td>\n",
       "      <td>13.936864</td>\n",
       "      <td>19.930801</td>\n",
       "      <td>211.56</td>\n",
       "      <td>0.104579</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.369146</td>\n",
       "      <td>0</td>\n",
       "      <td>53.748</td>\n",
       "      <td>1.766</td>\n",
       "      <td>1.766</td>\n",
       "      <td>51.982</td>\n",
       "      <td>0.469877</td>\n",
       "      <td>0.013315</td>\n",
       "      <td>-0.056338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1872</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1722.0</td>\n",
       "      <td>3553.426249</td>\n",
       "      <td>15.044247</td>\n",
       "      <td>21.085006</td>\n",
       "      <td>227.40</td>\n",
       "      <td>0.130438</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.369239</td>\n",
       "      <td>0</td>\n",
       "      <td>55.822</td>\n",
       "      <td>1.470</td>\n",
       "      <td>1.470</td>\n",
       "      <td>54.352</td>\n",
       "      <td>0.484794</td>\n",
       "      <td>0.074872</td>\n",
       "      <td>0.028060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1873</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1769.0</td>\n",
       "      <td>3823.629169</td>\n",
       "      <td>16.219443</td>\n",
       "      <td>23.254910</td>\n",
       "      <td>266.54</td>\n",
       "      <td>0.124986</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.362405</td>\n",
       "      <td>0</td>\n",
       "      <td>65.380</td>\n",
       "      <td>1.364</td>\n",
       "      <td>1.364</td>\n",
       "      <td>64.016</td>\n",
       "      <td>0.469877</td>\n",
       "      <td>0.172120</td>\n",
       "      <td>0.027294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1874</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>193</td>\n",
       "      <td>1822.0</td>\n",
       "      <td>3834.796926</td>\n",
       "      <td>16.268228</td>\n",
       "      <td>23.458050</td>\n",
       "      <td>287.58</td>\n",
       "      <td>0.141960</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.372223</td>\n",
       "      <td>0</td>\n",
       "      <td>71.478</td>\n",
       "      <td>1.434</td>\n",
       "      <td>1.434</td>\n",
       "      <td>70.044</td>\n",
       "      <td>0.566836</td>\n",
       "      <td>0.078937</td>\n",
       "      <td>0.029960</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   year    country  iso  ifs     pop      rgdpmad     rgdppc     rconpc  \\\n",
       "0  1870  Australia  AUS  193  1775.0  3273.239437  13.836157  21.449734   \n",
       "1  1871  Australia  AUS  193  1675.0  3298.507463  13.936864  19.930801   \n",
       "2  1872  Australia  AUS  193  1722.0  3553.426249  15.044247  21.085006   \n",
       "3  1873  Australia  AUS  193  1769.0  3823.629169  16.219443  23.254910   \n",
       "4  1874  Australia  AUS  193  1822.0  3834.796926  16.268228  23.458050   \n",
       "\n",
       "      gdp        iy    ...      expenditure     xrusd  crisisJST  tloans  \\\n",
       "0  208.78  0.109266    ...              NaN  0.366946          0  54.792   \n",
       "1  211.56  0.104579    ...              NaN  0.369146          0  53.748   \n",
       "2  227.40  0.130438    ...              NaN  0.369239          0  55.822   \n",
       "3  266.54  0.124986    ...              NaN  0.362405          0  65.380   \n",
       "4  287.58  0.141960    ...              NaN  0.372223          0  71.478   \n",
       "\n",
       "   tmort    thh    tbus     hpnom  gdpgrowth  popgrowth  \n",
       "0  1.680  1.680  53.112  0.492253        NaN        NaN  \n",
       "1  1.766  1.766  51.982  0.469877   0.013315  -0.056338  \n",
       "2  1.470  1.470  54.352  0.484794   0.074872   0.028060  \n",
       "3  1.364  1.364  64.016  0.469877   0.172120   0.027294  \n",
       "4  1.434  1.434  70.044  0.566836   0.078937   0.029960  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eco.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's now plot some of the trends over time for these countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_yrs = df_eco.loc[df_eco['iso']=='AUS','year']\n",
    "y_AUS = df_eco.loc[df_eco['iso']=='AUS','gdpgrowth']\n",
    "y_USA = df_eco.loc[df_eco['iso']=='USA','gdpgrowth']\n",
    "y_ss = df_sun.loc[(df_sun['Year'] <= max(x_yrs)) & (df_sun['Year'] >= min(x_yrs)), 'Mean Total'] \n",
    "\n",
    "def plot_time_change(x1, y1, y2, y1_lab, y2_lab, y1_ax_lab, y2_ax_lab, samey=True):\n",
    "    P1 = plt.figure(figsize=(20,10))\n",
    "    ax1 = P1.gca()\n",
    "    ax1.plot(x1, np.zeros(len(x1)), label='Zero Growth', color='black')\n",
    "    ax1.plot(x1, y1*100, label=y1_lab, color='orange')\n",
    "    ax1.set_xlabel('Year', fontsize=20)\n",
    "    ax1.set_ylabel(y1_ax_lab, fontsize=20)\n",
    "    ax1.tick_params(labelsize=15)\n",
    "    plt.legend(fontsize=15)\n",
    "    if samey==False:\n",
    "        col = 'tab:blue'    \n",
    "        ax2 = ax1.twinx()\n",
    "        ax2.set_ylabel(y2_ax_lab, fontsize=20, color=col)\n",
    "        ax2.plot(x1, y2, color=col, label = y2_lab)\n",
    "        ax2.tick_params(labelsize=15, labelcolor=col)\n",
    "        #plt.ylim(-170,300)\n",
    "        plt.legend(fontsize=15, loc='lower right')\n",
    "    else:\n",
    "        ax1.plot(x1, y2, label = y2_lab)\n",
    "        plt.legend(fontsize=15)\n",
    "    return plt.show()\n",
    "\n",
    "plot_time_change(x_yrs, y_AUS, y_ss, 'USA', 'Sunspot Number', 'Change in GDP(%)', 'Mean Sunspot Number', samey=False)\n",
    "plot_time_change(x_yrs, y_USA, y_ss, 'USA', 'Sunspot Number', 'Change in GDP(%)', 'Mean Sunspot Number', samey=False)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this case it is hard to see any relationship between the sunspot number and GDP growth for the US or Australia.\n",
    "\n",
    "Let's see if the change in the sunspot number has any clearer effect:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Introduce a new column to the sunspot dataframe:\n",
    "df_sun['Mean Change'] = df_sun['Mean Total'].pct_change()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Mean Total</th>\n",
       "      <th>Std. Deviation</th>\n",
       "      <th>No. Observations</th>\n",
       "      <th>Definitiveness Indicator</th>\n",
       "      <th>Mean Change</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>2009</td>\n",
       "      <td>4.8</td>\n",
       "      <td>2.5</td>\n",
       "      <td>6465</td>\n",
       "      <td>1</td>\n",
       "      <td>0.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>2010</td>\n",
       "      <td>24.9</td>\n",
       "      <td>3.4</td>\n",
       "      <td>6328</td>\n",
       "      <td>1</td>\n",
       "      <td>4.187500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>2011</td>\n",
       "      <td>80.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>6077</td>\n",
       "      <td>1</td>\n",
       "      <td>2.244980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>2012</td>\n",
       "      <td>84.5</td>\n",
       "      <td>6.7</td>\n",
       "      <td>5753</td>\n",
       "      <td>1</td>\n",
       "      <td>0.045792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>2013</td>\n",
       "      <td>94.0</td>\n",
       "      <td>6.9</td>\n",
       "      <td>5347</td>\n",
       "      <td>1</td>\n",
       "      <td>0.112426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>2014</td>\n",
       "      <td>113.3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5273</td>\n",
       "      <td>1</td>\n",
       "      <td>0.205319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>2015</td>\n",
       "      <td>69.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>8903</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.383936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>2016</td>\n",
       "      <td>39.8</td>\n",
       "      <td>3.9</td>\n",
       "      <td>9940</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.429799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>2017</td>\n",
       "      <td>21.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>11444</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.454774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>2018</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>12250</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.677419</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year  Mean Total  Std. Deviation  No. Observations  \\\n",
       "309  2009         4.8             2.5              6465   \n",
       "310  2010        24.9             3.4              6328   \n",
       "311  2011        80.8             6.7              6077   \n",
       "312  2012        84.5             6.7              5753   \n",
       "313  2013        94.0             6.9              5347   \n",
       "314  2014       113.3             8.0              5273   \n",
       "315  2015        69.8             6.4              8903   \n",
       "316  2016        39.8             3.9              9940   \n",
       "317  2017        21.7             2.5             11444   \n",
       "318  2018         7.0             1.1             12250   \n",
       "\n",
       "     Definitiveness Indicator  Mean Change  \n",
       "309                         1     0.142857  \n",
       "310                         1     4.187500  \n",
       "311                         1     2.244980  \n",
       "312                         1     0.045792  \n",
       "313                         1     0.112426  \n",
       "314                         1     0.205319  \n",
       "315                         1    -0.383936  \n",
       "316                         1    -0.429799  \n",
       "317                         1    -0.454774  \n",
       "318                         0    -0.677419  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sun.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# View the correlation of sunspot change with GDP growth\n",
    "y_ss_change = df_sun.loc[(df_sun['Year'] <= max(x_yrs)) & (df_sun['Year'] >= min(x_yrs)), 'Mean Change']\n",
    "\n",
    "plot_time_change(x_yrs, y_USA, y_ss_change*100, 'USA', 'Sunspot Number', 'Change in GDP(%)', 'Change in Sunspot No.(%)', samey=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Again the relationship doesn't seem to be very strong. What we can do instead is investigate a correlation matrix to see which variable are highly correlated with each other. We will start with just the economic indicators and then move on to introduce the sunspot number."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pop</th>\n",
       "      <th>rgdpmad</th>\n",
       "      <th>rgdppc</th>\n",
       "      <th>rconpc</th>\n",
       "      <th>gdp</th>\n",
       "      <th>iy</th>\n",
       "      <th>cpi</th>\n",
       "      <th>ca</th>\n",
       "      <th>imports</th>\n",
       "      <th>exports</th>\n",
       "      <th>narrowm</th>\n",
       "      <th>money</th>\n",
       "      <th>stir</th>\n",
       "      <th>ltrate</th>\n",
       "      <th>stocks</th>\n",
       "      <th>debtgdp</th>\n",
       "      <th>revenue</th>\n",
       "      <th>expenditure</th>\n",
       "      <th>xrusd</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2489</th>\n",
       "      <td>301280.000000</td>\n",
       "      <td>31654.926755</td>\n",
       "      <td>102.510311</td>\n",
       "      <td>100.754900</td>\n",
       "      <td>14477.6</td>\n",
       "      <td>0.221128</td>\n",
       "      <td>153.916119</td>\n",
       "      <td>-718.668064</td>\n",
       "      <td>2383.125</td>\n",
       "      <td>1664.625</td>\n",
       "      <td>847.359</td>\n",
       "      <td>7268.350000</td>\n",
       "      <td>5.02</td>\n",
       "      <td>4.629170</td>\n",
       "      <td>449.952852</td>\n",
       "      <td>0.625</td>\n",
       "      <td>2567.985</td>\n",
       "      <td>2728.686</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2490</th>\n",
       "      <td>304228.000000</td>\n",
       "      <td>31251.266490</td>\n",
       "      <td>101.249145</td>\n",
       "      <td>99.624500</td>\n",
       "      <td>14718.6</td>\n",
       "      <td>0.210040</td>\n",
       "      <td>159.777665</td>\n",
       "      <td>-690.743898</td>\n",
       "      <td>2565.025</td>\n",
       "      <td>1841.950</td>\n",
       "      <td>1669.260</td>\n",
       "      <td>7765.466667</td>\n",
       "      <td>1.92</td>\n",
       "      <td>3.666670</td>\n",
       "      <td>266.938403</td>\n",
       "      <td>0.677</td>\n",
       "      <td>2523.991</td>\n",
       "      <td>2982.544</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2491</th>\n",
       "      <td>306879.729035</td>\n",
       "      <td>29898.644216</td>\n",
       "      <td>97.579751</td>\n",
       "      <td>98.171100</td>\n",
       "      <td>14418.7</td>\n",
       "      <td>0.185363</td>\n",
       "      <td>159.272360</td>\n",
       "      <td>-383.969981</td>\n",
       "      <td>1983.200</td>\n",
       "      <td>1587.725</td>\n",
       "      <td>2017.338</td>\n",
       "      <td>8392.283333</td>\n",
       "      <td>0.16</td>\n",
       "      <td>3.256670</td>\n",
       "      <td>337.758175</td>\n",
       "      <td>0.824</td>\n",
       "      <td>2104.989</td>\n",
       "      <td>3517.677</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2492</th>\n",
       "      <td>309262.890633</td>\n",
       "      <td>30491.344381</td>\n",
       "      <td>99.217039</td>\n",
       "      <td>99.225887</td>\n",
       "      <td>14964.4</td>\n",
       "      <td>0.179833</td>\n",
       "      <td>161.899949</td>\n",
       "      <td>-441.898732</td>\n",
       "      <td>2365.000</td>\n",
       "      <td>1852.300</td>\n",
       "      <td>2009.340</td>\n",
       "      <td>8601.533333</td>\n",
       "      <td>0.18</td>\n",
       "      <td>3.214170</td>\n",
       "      <td>377.651711</td>\n",
       "      <td>0.914</td>\n",
       "      <td>2162.706</td>\n",
       "      <td>3457.079</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2493</th>\n",
       "      <td>311522.288099</td>\n",
       "      <td>31389.825478</td>\n",
       "      <td>100.057127</td>\n",
       "      <td>100.717681</td>\n",
       "      <td>15517.9</td>\n",
       "      <td>0.182757</td>\n",
       "      <td>166.953007</td>\n",
       "      <td>-430.702000</td>\n",
       "      <td>2686.375</td>\n",
       "      <td>2106.375</td>\n",
       "      <td>2603.702</td>\n",
       "      <td>9229.525000</td>\n",
       "      <td>0.10</td>\n",
       "      <td>2.785830</td>\n",
       "      <td>378.196198</td>\n",
       "      <td>0.960</td>\n",
       "      <td>2303.466</td>\n",
       "      <td>3603.056</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2494</th>\n",
       "      <td>313783.682382</td>\n",
       "      <td>32443.543112</td>\n",
       "      <td>101.521814</td>\n",
       "      <td>101.427710</td>\n",
       "      <td>16155.3</td>\n",
       "      <td>0.189678</td>\n",
       "      <td>170.439616</td>\n",
       "      <td>-444.593000</td>\n",
       "      <td>2763.825</td>\n",
       "      <td>2198.200</td>\n",
       "      <td>2657.124</td>\n",
       "      <td>10019.616667</td>\n",
       "      <td>0.14</td>\n",
       "      <td>1.802500</td>\n",
       "      <td>432.635741</td>\n",
       "      <td>1.001</td>\n",
       "      <td>2449.988</td>\n",
       "      <td>3536.951</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2495</th>\n",
       "      <td>315972.192875</td>\n",
       "      <td>33288.243430</td>\n",
       "      <td>102.504353</td>\n",
       "      <td>102.191591</td>\n",
       "      <td>16691.5</td>\n",
       "      <td>0.192086</td>\n",
       "      <td>172.915614</td>\n",
       "      <td>-426.197000</td>\n",
       "      <td>2768.600</td>\n",
       "      <td>2276.625</td>\n",
       "      <td>3685.277</td>\n",
       "      <td>10691.733333</td>\n",
       "      <td>0.11</td>\n",
       "      <td>2.350830</td>\n",
       "      <td>549.895057</td>\n",
       "      <td>1.012</td>\n",
       "      <td>2775.103</td>\n",
       "      <td>3454.647</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2496</th>\n",
       "      <td>318281.510744</td>\n",
       "      <td>34504.070256</td>\n",
       "      <td>104.359479</td>\n",
       "      <td>104.344001</td>\n",
       "      <td>17427.6</td>\n",
       "      <td>0.196377</td>\n",
       "      <td>175.745326</td>\n",
       "      <td>-349.544000</td>\n",
       "      <td>2884.075</td>\n",
       "      <td>2375.300</td>\n",
       "      <td>3898.497</td>\n",
       "      <td>11349.141667</td>\n",
       "      <td>0.09</td>\n",
       "      <td>2.540833</td>\n",
       "      <td>624.873004</td>\n",
       "      <td>1.032</td>\n",
       "      <td>3021.487</td>\n",
       "      <td>3506.114</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2497</th>\n",
       "      <td>320568.863636</td>\n",
       "      <td>35620.354988</td>\n",
       "      <td>106.565331</td>\n",
       "      <td>107.358348</td>\n",
       "      <td>18120.7</td>\n",
       "      <td>0.198301</td>\n",
       "      <td>175.947448</td>\n",
       "      <td>-373.796000</td>\n",
       "      <td>2786.250</td>\n",
       "      <td>2264.300</td>\n",
       "      <td>3816.062</td>\n",
       "      <td>12015.600000</td>\n",
       "      <td>0.13</td>\n",
       "      <td>2.135833</td>\n",
       "      <td>624.815209</td>\n",
       "      <td>1.008</td>\n",
       "      <td>3249.886</td>\n",
       "      <td>3688.292</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2498</th>\n",
       "      <td>322783.332739</td>\n",
       "      <td>36359.374592</td>\n",
       "      <td>107.401461</td>\n",
       "      <td>109.531019</td>\n",
       "      <td>18624.5</td>\n",
       "      <td>0.195831</td>\n",
       "      <td>178.170793</td>\n",
       "      <td>-434.603000</td>\n",
       "      <td>2733.675</td>\n",
       "      <td>2232.450</td>\n",
       "      <td>3509.753</td>\n",
       "      <td>12834.600000</td>\n",
       "      <td>0.39</td>\n",
       "      <td>1.841667</td>\n",
       "      <td>683.385551</td>\n",
       "      <td>1.058</td>\n",
       "      <td>3267.961</td>\n",
       "      <td>3852.612</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                pop       rgdpmad      rgdppc      rconpc      gdp        iy  \\\n",
       "2489  301280.000000  31654.926755  102.510311  100.754900  14477.6  0.221128   \n",
       "2490  304228.000000  31251.266490  101.249145   99.624500  14718.6  0.210040   \n",
       "2491  306879.729035  29898.644216   97.579751   98.171100  14418.7  0.185363   \n",
       "2492  309262.890633  30491.344381   99.217039   99.225887  14964.4  0.179833   \n",
       "2493  311522.288099  31389.825478  100.057127  100.717681  15517.9  0.182757   \n",
       "2494  313783.682382  32443.543112  101.521814  101.427710  16155.3  0.189678   \n",
       "2495  315972.192875  33288.243430  102.504353  102.191591  16691.5  0.192086   \n",
       "2496  318281.510744  34504.070256  104.359479  104.344001  17427.6  0.196377   \n",
       "2497  320568.863636  35620.354988  106.565331  107.358348  18120.7  0.198301   \n",
       "2498  322783.332739  36359.374592  107.401461  109.531019  18624.5  0.195831   \n",
       "\n",
       "             cpi          ca   imports   exports   narrowm         money  \\\n",
       "2489  153.916119 -718.668064  2383.125  1664.625   847.359   7268.350000   \n",
       "2490  159.777665 -690.743898  2565.025  1841.950  1669.260   7765.466667   \n",
       "2491  159.272360 -383.969981  1983.200  1587.725  2017.338   8392.283333   \n",
       "2492  161.899949 -441.898732  2365.000  1852.300  2009.340   8601.533333   \n",
       "2493  166.953007 -430.702000  2686.375  2106.375  2603.702   9229.525000   \n",
       "2494  170.439616 -444.593000  2763.825  2198.200  2657.124  10019.616667   \n",
       "2495  172.915614 -426.197000  2768.600  2276.625  3685.277  10691.733333   \n",
       "2496  175.745326 -349.544000  2884.075  2375.300  3898.497  11349.141667   \n",
       "2497  175.947448 -373.796000  2786.250  2264.300  3816.062  12015.600000   \n",
       "2498  178.170793 -434.603000  2733.675  2232.450  3509.753  12834.600000   \n",
       "\n",
       "      stir    ltrate      stocks  debtgdp   revenue  expenditure  xrusd  \n",
       "2489  5.02  4.629170  449.952852    0.625  2567.985     2728.686    1.0  \n",
       "2490  1.92  3.666670  266.938403    0.677  2523.991     2982.544    1.0  \n",
       "2491  0.16  3.256670  337.758175    0.824  2104.989     3517.677    1.0  \n",
       "2492  0.18  3.214170  377.651711    0.914  2162.706     3457.079    1.0  \n",
       "2493  0.10  2.785830  378.196198    0.960  2303.466     3603.056    1.0  \n",
       "2494  0.14  1.802500  432.635741    1.001  2449.988     3536.951    1.0  \n",
       "2495  0.11  2.350830  549.895057    1.012  2775.103     3454.647    1.0  \n",
       "2496  0.09  2.540833  624.873004    1.032  3021.487     3506.114    1.0  \n",
       "2497  0.13  2.135833  624.815209    1.008  3249.886     3688.292    1.0  \n",
       "2498  0.39  1.841667  683.385551    1.058  3267.961     3852.612    1.0  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We will use the dataframe of a single country first, in this case, the USA:\n",
    "df_US_eco = df_eco.loc[df_eco['country']=='USA','pop':'xrusd']\n",
    "\n",
    "# The string type data has been excluded as this would not bring useful information in a correlation matrix\n",
    "df_US_eco.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot correlation matrix\n",
    "def plot_corr_mat(df):\n",
    "    # Column Labels:\n",
    "    col_labels = list(df.tail(1).columns)\n",
    "    # Figure plotting:\n",
    "    P2 = plt.figure(figsize=(12,12))\n",
    "    axmat = P2.gca()\n",
    "    A = axmat.matshow(df.corr(), cmap='jet')\n",
    "    P2.colorbar(A)\n",
    "    ticks = np.arange(0,len(df.tail(1).columns),1)\n",
    "    axmat.set_xticks(ticks)\n",
    "    axmat.set_yticks(ticks)\n",
    "    axmat.set_xticklabels(col_labels, fontsize=12)\n",
    "    axmat.set_yticklabels(col_labels, fontsize=12)\n",
    "    plt.xticks(rotation=90)\n",
    "    return plt.show()\n",
    "\n",
    "plot_corr_mat(df_US_eco)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that the last row 'xrusd' is white. This is due to the fact that for the case of the US, the values in this column will always be 1.0.\n",
    "\n",
    "Therefore, let us ignore this column, but add a new column to investigate sunspot numbers:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_US_sun = df_eco.loc[df_eco['country']=='USA','pop':'expenditure']\n",
    "\n",
    "df_US_sun['sunspot'] = list(y_ss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pop</th>\n",
       "      <th>rgdpmad</th>\n",
       "      <th>rgdppc</th>\n",
       "      <th>rconpc</th>\n",
       "      <th>gdp</th>\n",
       "      <th>iy</th>\n",
       "      <th>cpi</th>\n",
       "      <th>ca</th>\n",
       "      <th>imports</th>\n",
       "      <th>exports</th>\n",
       "      <th>narrowm</th>\n",
       "      <th>money</th>\n",
       "      <th>stir</th>\n",
       "      <th>ltrate</th>\n",
       "      <th>stocks</th>\n",
       "      <th>debtgdp</th>\n",
       "      <th>revenue</th>\n",
       "      <th>expenditure</th>\n",
       "      <th>sunspot</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2352</th>\n",
       "      <td>40240.63</td>\n",
       "      <td>2444.643665</td>\n",
       "      <td>6.657197</td>\n",
       "      <td>8.4340</td>\n",
       "      <td>7.812</td>\n",
       "      <td>0.163824</td>\n",
       "      <td>10.154909</td>\n",
       "      <td>-0.143170</td>\n",
       "      <td>0.450</td>\n",
       "      <td>0.418</td>\n",
       "      <td>0.63</td>\n",
       "      <td>1.81</td>\n",
       "      <td>5.72</td>\n",
       "      <td>5.433557</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.311886</td>\n",
       "      <td>0.411</td>\n",
       "      <td>0.310</td>\n",
       "      <td>232.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2353</th>\n",
       "      <td>41098.00</td>\n",
       "      <td>2502.846854</td>\n",
       "      <td>6.781151</td>\n",
       "      <td>8.4070</td>\n",
       "      <td>7.665</td>\n",
       "      <td>0.138999</td>\n",
       "      <td>9.620439</td>\n",
       "      <td>-0.210574</td>\n",
       "      <td>0.534</td>\n",
       "      <td>0.475</td>\n",
       "      <td>0.64</td>\n",
       "      <td>2.04</td>\n",
       "      <td>5.56</td>\n",
       "      <td>5.356667</td>\n",
       "      <td>1.441825</td>\n",
       "      <td>0.302942</td>\n",
       "      <td>0.384</td>\n",
       "      <td>0.292</td>\n",
       "      <td>185.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2354</th>\n",
       "      <td>42136.00</td>\n",
       "      <td>2540.938865</td>\n",
       "      <td>6.883649</td>\n",
       "      <td>9.3503</td>\n",
       "      <td>8.309</td>\n",
       "      <td>0.241920</td>\n",
       "      <td>9.620439</td>\n",
       "      <td>-0.261962</td>\n",
       "      <td>0.632</td>\n",
       "      <td>0.474</td>\n",
       "      <td>0.64</td>\n",
       "      <td>2.24</td>\n",
       "      <td>8.38</td>\n",
       "      <td>5.561667</td>\n",
       "      <td>1.542205</td>\n",
       "      <td>0.265976</td>\n",
       "      <td>0.374</td>\n",
       "      <td>0.278</td>\n",
       "      <td>169.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2355</th>\n",
       "      <td>43174.00</td>\n",
       "      <td>2604.252559</td>\n",
       "      <td>7.039328</td>\n",
       "      <td>9.3494</td>\n",
       "      <td>8.837</td>\n",
       "      <td>0.225371</td>\n",
       "      <td>9.620439</td>\n",
       "      <td>-0.124459</td>\n",
       "      <td>0.655</td>\n",
       "      <td>0.562</td>\n",
       "      <td>0.65</td>\n",
       "      <td>2.31</td>\n",
       "      <td>14.24</td>\n",
       "      <td>5.479167</td>\n",
       "      <td>1.344487</td>\n",
       "      <td>0.243432</td>\n",
       "      <td>0.334</td>\n",
       "      <td>0.290</td>\n",
       "      <td>110.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2356</th>\n",
       "      <td>44212.00</td>\n",
       "      <td>2527.255044</td>\n",
       "      <td>6.799352</td>\n",
       "      <td>9.3652</td>\n",
       "      <td>8.563</td>\n",
       "      <td>0.178538</td>\n",
       "      <td>9.085971</td>\n",
       "      <td>-0.118220</td>\n",
       "      <td>0.576</td>\n",
       "      <td>0.619</td>\n",
       "      <td>0.66</td>\n",
       "      <td>2.39</td>\n",
       "      <td>3.43</td>\n",
       "      <td>5.103333</td>\n",
       "      <td>1.380989</td>\n",
       "      <td>0.252240</td>\n",
       "      <td>0.305</td>\n",
       "      <td>0.303</td>\n",
       "      <td>74.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           pop      rgdpmad    rgdppc  rconpc    gdp        iy        cpi  \\\n",
       "2352  40240.63  2444.643665  6.657197  8.4340  7.812  0.163824  10.154909   \n",
       "2353  41098.00  2502.846854  6.781151  8.4070  7.665  0.138999   9.620439   \n",
       "2354  42136.00  2540.938865  6.883649  9.3503  8.309  0.241920   9.620439   \n",
       "2355  43174.00  2604.252559  7.039328  9.3494  8.837  0.225371   9.620439   \n",
       "2356  44212.00  2527.255044  6.799352  9.3652  8.563  0.178538   9.085971   \n",
       "\n",
       "            ca  imports  exports  narrowm  money   stir    ltrate    stocks  \\\n",
       "2352 -0.143170    0.450    0.418     0.63   1.81   5.72  5.433557       NaN   \n",
       "2353 -0.210574    0.534    0.475     0.64   2.04   5.56  5.356667  1.441825   \n",
       "2354 -0.261962    0.632    0.474     0.64   2.24   8.38  5.561667  1.542205   \n",
       "2355 -0.124459    0.655    0.562     0.65   2.31  14.24  5.479167  1.344487   \n",
       "2356 -0.118220    0.576    0.619     0.66   2.39   3.43  5.103333  1.380989   \n",
       "\n",
       "       debtgdp  revenue  expenditure  sunspot  \n",
       "2352  0.311886    0.411        0.310    232.0  \n",
       "2353  0.302942    0.384        0.292    185.3  \n",
       "2354  0.265976    0.374        0.278    169.2  \n",
       "2355  0.243432    0.334        0.290    110.1  \n",
       "2356  0.252240    0.305        0.303     74.5  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_US_sun.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_corr_mat(df_US_sun)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pop            0.097931\n",
       "rgdpmad        0.055738\n",
       "rgdppc         0.066992\n",
       "rconpc         0.045332\n",
       "gdp           -0.040386\n",
       "iy             0.168750\n",
       "cpi            0.011709\n",
       "ca             0.104748\n",
       "imports       -0.067260\n",
       "exports       -0.056028\n",
       "narrowm       -0.057374\n",
       "money         -0.042174\n",
       "stir           0.198474\n",
       "ltrate         0.191570\n",
       "stocks        -0.029897\n",
       "debtgdp        0.163944\n",
       "revenue       -0.028133\n",
       "expenditure   -0.052099\n",
       "sunspot        1.000000\n",
       "Name: sunspot, dtype: float64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We are interested in the sunspot number and it's correlation with other factors:\n",
    "df_US_sun.corr()['sunspot']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(-0.06726018091524721, 'imports'),\n",
       " (-0.0573740575854766, 'narrowm'),\n",
       " (-0.05602825147855373, 'exports'),\n",
       " (-0.05209890618285705, 'expenditure'),\n",
       " (-0.04217423087332215, 'money'),\n",
       " (-0.040385785857623056, 'gdp'),\n",
       " (-0.029897346649001056, 'stocks'),\n",
       " (-0.028133193137449757, 'revenue'),\n",
       " (0.011708892363415928, 'cpi'),\n",
       " (0.04533163005917132, 'rconpc'),\n",
       " (0.0557377290037644, 'rgdpmad'),\n",
       " (0.0669920850368327, 'rgdppc'),\n",
       " (0.09793100952008503, 'pop'),\n",
       " (0.10474798935415815, 'ca'),\n",
       " (0.16394393461971213, 'debtgdp'),\n",
       " (0.16874954960730126, 'iy'),\n",
       " (0.19157022854901679, 'ltrate'),\n",
       " (0.1984738065994344, 'stir'),\n",
       " (1.0, 'sunspot')]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Place the correlations in order:\n",
    "sorted((val,key) for (key,val) in dict(df_US_sun.corr()['sunspot']).items())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looks like the great correlation occurs with the indicators 'ltrate' and 'stir' otherwise known as:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.options.display.max_colwidth = 80"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17    Long-term interest rate (nominal, percent per year)\n",
       "Name: Description, dtype: object"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eco_descr.loc[df_eco_descr['Column Name'] == 'ltrate']['Description']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16    Short-term interest rate (nominal, percent per year)\n",
       "Name: Description, dtype: object"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eco_descr.loc[df_eco_descr['Column Name'] == 'stir']['Description']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The indicators 'iy' and 'debtgdp' are also correlated somewhat:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9    Investment-to-GDP ratio\n",
       "Name: Description, dtype: object"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eco_descr.loc[df_eco_descr['Column Name'] == 'iy']['Description']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19    Public debt-to-GDP ratio\n",
       "Name: Description, dtype: object"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eco_descr.loc[df_eco_descr['Column Name'] == 'debtgdp']['Description']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Therefore it looks like the interest rate and investment are tied most strongly with sunspot number. However, the connection is quite weak.\n",
    "\n",
    "We can look at other countries to see whether there is a stronger correlation.\n",
    "\n",
    "One other thing that could be done it order to see if there are any other possible connections is to look at if there is any time lag component to sun spot number and changes in economic activity. To do this we will need to choose a lag time.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Starting with comparison of Australian economy with sunspot number:\n",
    "df_AU_sun = df_eco.loc[df_eco['country']=='Australia','pop':'expenditure']\n",
    "df_AU_sun['sunspot'] = list(y_ss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Correlation matrix:\n",
    "plot_corr_mat(df_AU_sun)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(-0.10803966278290297, 'revenue'),\n",
       " (-0.1023070433293594, 'expenditure'),\n",
       " (-0.0825721677813603, 'money'),\n",
       " (-0.07550682940497058, 'imports'),\n",
       " (-0.07333301171257298, 'exports'),\n",
       " (-0.07192178724026169, 'narrowm'),\n",
       " (-0.0639111271414345, 'stocks'),\n",
       " (-0.06167180050443957, 'gdp'),\n",
       " (-0.009581983512953014, 'cpi'),\n",
       " (-0.00400725080901304, 'debtgdp'),\n",
       " (0.015051895676580666, 'rconpc'),\n",
       " (0.0318833728447637, 'rgdpmad'),\n",
       " (0.03478450238234346, 'rgdppc'),\n",
       " (0.06790551029123633, 'iy'),\n",
       " (0.0809532114406772, 'pop'),\n",
       " (0.08998359712695468, 'ca'),\n",
       " (0.1451145416555279, 'ltrate'),\n",
       " (0.1554238473401014, 'stir'),\n",
       " (1.0, 'sunspot')]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Correlations in order:\n",
    "AU_corr_list_ss = sorted((val,key) for (key,val) in dict(df_AU_sun.corr()['sunspot']).items())\n",
    "AU_corr_list_ss"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Again the 'ltrate' and 'stir' variables have the highest correlation with sunspot number, although even weaker than for the US economy. \n",
    "\n",
    "How do the other variables compare with the short and long interest rate?\n",
    "\n",
    "\n",
    "Let's look at what the top two correlated categories are for each of the countries:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "AU_corr_list_ss = sorted((val,key) for (key,val) in dict(df_AU_sun.corr()['sunspot']).items())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.1554238473401014, 'stir')"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AU_corr_list_ss[-2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "countries = sorted(list(set(df_eco.loc[:,'country'])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Australia',\n",
       " 'Belgium',\n",
       " 'Canada',\n",
       " 'Denmark',\n",
       " 'Finland',\n",
       " 'France',\n",
       " 'Germany',\n",
       " 'Italy',\n",
       " 'Japan',\n",
       " 'Netherlands',\n",
       " 'Norway',\n",
       " 'Portugal',\n",
       " 'Spain',\n",
       " 'Sweden',\n",
       " 'Switzerland',\n",
       " 'UK',\n",
       " 'USA']"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "def top_2_corr(country):\n",
    "    # Create new df with economic indicators for country and sunspot number\n",
    "    df_eco_sun = df_eco.loc[df_eco['country']==country,'pop':'expenditure']\n",
    "    df_eco_sun['sunspot'] = list(y_ss)\n",
    "    # Correlations in order:\n",
    "    eco_corrs = sorted((val,key) for (key,val) in dict(df_eco_sun.corr()['sunspot']).items())\n",
    "    print(country)\n",
    "    print(eco_corrs[-2])\n",
    "    print(eco_corrs[-3])\n",
    "    print(eco_corrs[1])\n",
    "    print(eco_corrs[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Australia\n",
      "(0.1554238473401014, 'stir')\n",
      "(0.1451145416555279, 'ltrate')\n",
      "(-0.1023070433293594, 'expenditure')\n",
      "(-0.10803966278290297, 'revenue')\n",
      "Belgium\n",
      "(0.25543456603921255, 'ltrate')\n",
      "(0.2376596760350697, 'stir')\n",
      "(-0.06264972287442783, 'stocks')\n",
      "(-0.4031707436294615, 'money')\n",
      "Canada\n",
      "(0.20883770096202806, 'stir')\n",
      "(0.20275830510405837, 'ltrate')\n",
      "(-0.054927916019251705, 'stocks')\n",
      "(-0.07086391016420282, 'narrowm')\n",
      "Denmark\n",
      "(0.21937061596115057, 'ltrate')\n",
      "(0.2184028213447003, 'stir')\n",
      "(-0.07239258223802617, 'money')\n",
      "(-0.09578453689336462, 'stocks')\n",
      "Finland\n",
      "(0.3281312035181538, 'ltrate')\n",
      "(0.2576395487460351, 'iy')\n",
      "(-0.0808338457293965, 'stocks')\n",
      "(-0.14199139721790116, 'debtgdp')\n",
      "France\n",
      "(0.29949366873488303, 'ltrate')\n",
      "(0.285833821172922, 'stir')\n",
      "(-0.04527890742386938, 'narrowm')\n",
      "(-0.262880766078407, 'debtgdp')\n",
      "Germany\n",
      "(0.246015050836122, 'iy')\n",
      "(0.23326596590089987, 'stir')\n",
      "(-0.1426300495520228, 'ca')\n",
      "(-0.18653034409667643, 'debtgdp')\n",
      "Italy\n",
      "(0.23697189339155109, 'ltrate')\n",
      "(0.18128073634032854, 'iy')\n",
      "(-0.06525391118126561, 'narrowm')\n",
      "(-0.2962027789151119, 'debtgdp')\n",
      "Japan\n",
      "(0.2468676547603585, 'iy')\n",
      "(0.1994964049101367, 'ltrate')\n",
      "(-0.10469019443411497, 'debtgdp')\n",
      "(-0.10532222302886968, 'ca')\n",
      "Netherlands\n",
      "(0.24908859800305821, 'stir')\n",
      "(0.22551201477177474, 'ltrate')\n",
      "(-0.08453281640094486, 'money')\n",
      "(-0.10805335182282794, 'ca')\n",
      "Norway\n",
      "(0.2146538641203632, 'iy')\n",
      "(0.18588084851407408, 'ltrate')\n",
      "(-0.08503189702587066, 'ca')\n",
      "(-0.18561679158010405, 'stocks')\n",
      "Portugal\n",
      "(0.23008684753619507, 'iy')\n",
      "(0.1565562214754494, 'pop')\n",
      "(-0.14910761388437194, 'stocks')\n",
      "(-0.25186909135608737, 'debtgdp')\n",
      "Spain\n",
      "(0.20263830135725794, 'stir')\n",
      "(0.1491433490547781, 'iy')\n",
      "(-0.087089016505584, 'narrowm')\n",
      "(-0.26045564071334015, 'debtgdp')\n",
      "Sweden\n",
      "(0.1637991799537879, 'iy')\n",
      "(0.16324100997042262, 'ltrate')\n",
      "(-0.06588902934959279, 'exports')\n",
      "(-0.16974310106769974, 'ca')\n",
      "Switzerland\n",
      "(0.2271066632367424, 'debtgdp')\n",
      "(0.11162072793998468, 'iy')\n",
      "(-0.07074158749173569, 'stocks')\n",
      "(-0.14182530658697276, 'ca')\n",
      "UK\n",
      "(0.21259985295026027, 'stir')\n",
      "(0.18697059029069385, 'iy')\n",
      "(-0.0683587510117945, 'expenditure')\n",
      "(-0.07273401228942922, 'money')\n",
      "USA\n",
      "(0.1984738065994344, 'stir')\n",
      "(0.19157022854901679, 'ltrate')\n",
      "(-0.0573740575854766, 'narrowm')\n",
      "(-0.06726018091524721, 'imports')\n"
     ]
    }
   ],
   "source": [
    "for country in countries:\n",
    "    top_2_corr(country)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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