solution_plotting.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5c269091",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0bd1cba9",
   "metadata": {},
   "outputs": [],
   "source": [
    "eg = pd.read_csv('istherecorrelation.csv', sep = ';')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "88118d5e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Year WO [x1000]  NL Beer consumption [x1000 hectoliter]\n",
      "0   2006      205,9                                   11402\n",
      "1   2007      208,6                                   11492\n",
      "2   2008      212,7                                   11450\n",
      "3   2009      220,5                                   11502\n",
      "4   2010      233,2                                   11474\n",
      "5   2011      242,4                                   11480\n",
      "6   2012      245,4                                   11452\n",
      "7   2013      241,4                                   11484\n",
      "8   2014      250,2                                   11555\n",
      "9   2015      255,7                                   11601\n",
      "10  2016      261,2                                   11731\n",
      "11  2017      267,9                                   11862\n",
      "12  2018      280,1                                   12048\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Index(['Year', 'WO [x1000]', 'NL Beer consumption [x1000 hectoliter]'], dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(eg)\n",
    "eg.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6b36175e",
   "metadata": {},
   "outputs": [],
   "source": [
    "x = eg['WO [x1000]']\n",
    "y = eg['NL Beer consumption [x1000 hectoliter]']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5406cf2d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (13, 13))\n",
    "plt.scatter(x, y, color = 'darkred') \n",
    "plt.title('A plot to show the correlation between WO [x1000] and NL Beer consumption [x1000 hectoliter]', size = 15)\n",
    "plt.xlabel('WO [x1000]', size = 13)\n",
    "plt.ylabel('NL Beer consumption [x1000 hectoliter]', size = 13)\n",
    "plt.grid(True)\n",
    "plt.savefig(\"amazing.png\", dpi = 300)\n",
    "plt.show()\n",
    "plt.close()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}