analysis/starpu.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis of STAR-PU Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import math\n",
    "import numpy as np\n",
    "import os\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "c:\\Users\\m84300af\\OneDrive - The University of Manchester\\Documents\\GitHub\\amr-uom-brit\n"
     ]
    },
    {
     "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>practice</th>\n",
       "      <th>sex</th>\n",
       "      <th>age_cat</th>\n",
       "      <th>antibacterial_prescriptions</th>\n",
       "      <th>population</th>\n",
       "      <th>value</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10</td>\n",
       "      <td>F</td>\n",
       "      <td>0-4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10</td>\n",
       "      <td>F</td>\n",
       "      <td>15-24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10</td>\n",
       "      <td>F</td>\n",
       "      <td>25-34</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10</td>\n",
       "      <td>F</td>\n",
       "      <td>35-44</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10</td>\n",
       "      <td>F</td>\n",
       "      <td>45-54</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19057</th>\n",
       "      <td>40</td>\n",
       "      <td>M</td>\n",
       "      <td>45-54</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-10-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19058</th>\n",
       "      <td>40</td>\n",
       "      <td>M</td>\n",
       "      <td>5-14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-10-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19059</th>\n",
       "      <td>40</td>\n",
       "      <td>M</td>\n",
       "      <td>55-64</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-10-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19060</th>\n",
       "      <td>40</td>\n",
       "      <td>M</td>\n",
       "      <td>65-74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-10-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19061</th>\n",
       "      <td>40</td>\n",
       "      <td>M</td>\n",
       "      <td>75+</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-10-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19062 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       practice sex age_cat  antibacterial_prescriptions  population  value  \\\n",
       "0            10   F     0-4                          NaN         NaN    NaN   \n",
       "1            10   F   15-24                          NaN         NaN    NaN   \n",
       "2            10   F   25-34                          NaN         NaN    NaN   \n",
       "3            10   F   35-44                          NaN         NaN    NaN   \n",
       "4            10   F   45-54                          NaN         NaN    NaN   \n",
       "...         ...  ..     ...                          ...         ...    ...   \n",
       "19057        40   M   45-54                          NaN         NaN    NaN   \n",
       "19058        40   M    5-14                          NaN         NaN    NaN   \n",
       "19059        40   M   55-64                          NaN         NaN    NaN   \n",
       "19060        40   M   65-74                          NaN         NaN    NaN   \n",
       "19061        40   M     75+                          NaN         NaN    NaN   \n",
       "\n",
       "             date  \n",
       "0      2019-01-01  \n",
       "1      2019-01-01  \n",
       "2      2019-01-01  \n",
       "3      2019-01-01  \n",
       "4      2019-01-01  \n",
       "...           ...  \n",
       "19057  2021-10-01  \n",
       "19058  2021-10-01  \n",
       "19059  2021-10-01  \n",
       "19060  2021-10-01  \n",
       "19061  2021-10-01  \n",
       "\n",
       "[19062 rows x 7 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.chdir(\"..\")\n",
    "current_working_dir = os.getcwd()\n",
    "print(current_working_dir)\n",
    "data = pd.read_csv(r'output/measures/measure_STARPU_antibiotics.csv')\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 19062 entries, 0 to 19061\n",
      "Data columns (total 7 columns):\n",
      " #   Column                       Non-Null Count  Dtype  \n",
      "---  ------                       --------------  -----  \n",
      " 0   practice                     19062 non-null  int64  \n",
      " 1   sex                          19062 non-null  object \n",
      " 2   age_cat                      19062 non-null  object \n",
      " 3   antibacterial_prescriptions  11813 non-null  float64\n",
      " 4   population                   11813 non-null  float64\n",
      " 5   value                        11813 non-null  float64\n",
      " 6   date                         19062 non-null  object \n",
      "dtypes: float64(3), int64(1), object(3)\n",
      "memory usage: 1.0+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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E5cDpEXEccDPwqrL+ecBhwFrgfuDYIbZNkiRpwhhaQpaZ3wee06P8TmBxj/IEjh9WeyRJkiYq79QvSZLUMhMySZKklpmQSZIktcyETJIkqWUmZJIkSS0zIZMkSWqZCZkkSVLLTMgkSZJaZkImSZLUMhMySZKklpmQSZIktcyETJIkqWUmZJIkSS0zIZMkSWrZjLYboIll3tJzN5s/Yf5Gjill65Yd3kaTJEma8txDJkmS1DITMkmSpJaZkEmSJLXMhEySJKllJmSSJEktMyGTJElqmQmZJElSy0zIJEmSWmZCJkmS1DITMkmSpJaZkEmSJLXMhEySJKllJmSSJEktMyGTJElqWaOELCLmD7shkiRJ01XTPWT/GhGXRcSbI2L2aCqIiK0j4sqIOKfM7xURl0bE2oj4QkRsW8q3K/Nry/J5o3sqkiRJk1OjhCwzXwC8FtgTWB0Rn4+IFzes4+3AdR3zHwQ+kpl7A3cBx5Xy44C7SvlHynqSJElTXuNzyDLzRuAvgBOBFwIfi4j/jojf7xcTEXsAhwOfKvMBvAg4o6yyHDiyTB9R5inLF5f1JUmSprTIzMErRTwbOJYquboAOCUzr4iIJwHfycyn9Ik7A/h7YCfg3cAxwCVlLxgRsSfwlcx8VkRcA7w0M28ty24CDsrMn3RtcwmwBGBkZOTAFStW9Gzzhg0bmDVr1sDn9lhjxjtu2HWtWX/PZvMjM+GOB6rp+XP7H63ujOuMqYsbz7rq4prGDLuN9kd7ddXFTZT+mAxttD/aq6subhj90WkqfQduibi6mEWLFq3OzAW9ljVNyL5BtZfrjMx8oGvZ6zPzsz1ifhc4LDPfHBEL2UIJWacFCxbkqlWrei5buXIlCxcuHPjcHmvMeMcNu655S8/dbP6E+Rs5ac0MANYtO7xRXGdMXdx41lUX1zRm2G20P9qrqy5uovTHZGij/dFeXXVxw+iPTlPpO3BLxNXFRETfhGxGr8IeDgceyMxflQ1uBWyfmff3SsaK3wReFhGHAdsDjwM+CsyJiBmZuRHYA1hf1l9PdY7arRExA5gN3NmwfZIkSZNW03PILgRmdszvUMr6ysz3ZOYemTkPeDXw9cx8LXAx8Iqy2tHAWWX67DJPWf71bLL7TpIkaZJrmpBtn5kbNs2U6R3GWOeJwLsiYi3weOCUUn4K8PhS/i5g6Ri3L0mSNKk0PWT5s4g4IDOvAIiIA4EHBsQ8LDNXAivL9PeB5/VY5+fAK5tuU5IkaapompC9A/hiRPwQCGA34A+H1ShJkqTppFFClpmXR8SvAfuWousz85fDa5YkSdL00XQPGcCvA/NKzAERQWaeOpRWSZIkTSONErKI+CzwNOAq4FelOAETMkmSpMeo6R6yBcB+3oZCkiRpy2t624trqE7klyRJ0hbWdA/ZE4DvRcRlwC82FWbmy4bSKkmSpGmkaUL2vmE2QpIkaTpretuLb0TEU4B9MvPCiNgB2Hq4TZMkSZoeGp1DFhF/BJwBnFyK5gJnDqlNkiRJ00rTk/qPB34TuBcgM28EnjisRkmSJE0nTROyX2Tmg5tmImIG1X3IJEmS9Bg1Tci+ERF/BsyMiBcDXwT+c3jNkiRJmj6aJmRLgR8Da4A/Bs4D/mJYjZIkSZpOml5l+RDwyfKQJEnSFtT0tyx/QI9zxjLzqVu8RZIkSdPMaH7LcpPtgVcCu2z55kiSJE0/TQ9Z3tlV9H8iYjXw3i3fJEmSNJHNW3ruw9MnzN/IMR3z65YdPjCmO65fzHTS9JDlAR2zW1HtMWu6d02SJEk1miZVJ3VMbwTWAa/a4q2RJEmahpoeslw07IZIkiRNV00PWb6rbnlm/uOWaY4kSdL0M5qrLH8dOLvM/x5wGXDjMBolSZI0nTRNyPYADsjM+wAi4n3AuZn5umE1TJIkabpo+tNJI8CDHfMPljJJkiQ9Rk33kJ0KXBYRXy7zRwLLh9IiSZKkaabpVZYfiIivAC8oRcdm5pXDa5YkSdL00fSQJcAOwL2Z+VHg1ojYa0htkiRJmlYaJWQR8VfAicB7StE2wOeG1ShJkqTppOkespcDLwN+BpCZPwR2GlajJEmSppOmCdmDmZlAAkTEjoMCImL7iLgsIr4bEddGxPtL+V4RcWlErI2IL0TEtqV8uzK/tiyfN8bnJEmSNKk0TchOj4iTgTkR8UfAhcAnB8T8AnhRZj4H2B94aUQcDHwQ+Ehm7g3cBRxX1j8OuKuUf6SsJ0mSNOUNTMgiIoAvAGcAXwL2Bd6bmf9UF5eVDWV2m/JI4EVlW1DdOuPIMn0Ej9xK4wxgcalbkiRpSovqSOSAlSLWZOb8UW88YmtgNbA38C/Ah4BLyl4wImJP4CuZ+ayIuAZ4aWbeWpbdBByUmT/p2uYSYAnAyMjIgStWrOhZ94YNG5g1a9ao2juWmPGOG3Zda9bfs9n8yEy444Fqev7c2Y3iOmPq4sazrrq4pjHDbqP90V5ddXETpT8mQxvtj/bqqoub7P3RabJ/Ty9atGh1Zi7otaxpQrYc+OfMvHxUrXokfg7wZeAvgc88loSs04IFC3LVqlU9l61cuZKFCxeOqp1jiRnvuGHXNW/puZvNnzB/IyetqW5Xt27Z4Y3iOmPq4sazrrq4pjHDbqP90V5ddXETpT8mQxvtj/bqqoub7P3RabJ/T0dE34Ss6Z36DwJeFxHrqK60DKqjks9uEpyZd0fExcDzqc5Dm5GZG6l+I3N9WW09sCfVPc5mALOBOxu2T5IkadKqTcgi4smZ+T/A74x2wxGxK/DLkozNBF5MdaL+xcArgBXA0cBZJeTsMv+dsvzr2WT3nSRJ0iQ3aA/ZmcABmXlzRHwpM/9gFNveHVheziPbCjg9M8+JiO8BKyLib4ErgVPK+qcAn42ItcBPgVeP5olIkiRNVoMSss6rHJ86mg1n5tXAc3uUfx94Xo/ynwOvHE0dkiRJU8Gg215kn2lJkiRtIYP2kD0nIu6l2lM2s0zDIyf1P26orZMkSZoGahOyzNx6vBoiSZI0XTX96SRJkiQNiQmZJElSy0zIJEmSWtb0Tv2ahLp/2uKYMt/0JyokSdL4cA+ZJElSy0zIJEmSWmZCJkmS1DITMkmSpJaZkEmSJLXMhEySJKllJmSSJEktMyGTJElqmQmZJElSy0zIJEmSWmZCJkmS1DITMkmSpJaZkEmSJLXMhEySJKllJmSSJEktMyGTJElqmQmZJElSy0zIJEmSWmZCJkmS1DITMkmSpJbNaLsBkiRJ/cxbeu7D0yfM38gxHfPrlh3eRpOGwj1kkiRJLRtaQhYRe0bExRHxvYi4NiLeXsp3iYgLIuLG8nfnUh4R8bGIWBsRV0fEAcNqmyRJ0kQyzD1kG4ETMnM/4GDg+IjYD1gKXJSZ+wAXlXmAQ4F9ymMJ8PEhtk2SJGnCGFpClpm3ZeYVZfo+4DpgLnAEsLysthw4skwfAZyalUuAORGx+7DaJ0mSNFGMyzlkETEPeC5wKTCSmbeVRbcDI2V6LnBLR9itpUySJGlKi8wcbgURs4BvAB/IzP+IiLszc07H8rsyc+eIOAdYlpnfLuUXASdm5qqu7S2hOqTJyMjIgStWrOhZ74YNG5g1a9ao2jqWmPGOG03MmvX3PDw9MhPueKCanj93dqOYscZ1xtTFjWdddXH2h/1RFzdR+mMytNH+aK+uurjp2h+dJsr39KJFi1Zn5oJey4aakEXENsA5wNcy8x9L2fXAwsy8rRySXJmZ+0bEyWX6tO71+m1/wYIFuWrVqp7LVq5cycKFC0fV3rHEjHfcaGK6LxU+aU11l5O6y4Q7Y8Ya1xlTFzeeddXF2R/2R13cROmPydBG+6O9uuripmt/dJoo39MR0TchG+ZVlgGcAly3KRkrzgaOLtNHA2d1lB9VrrY8GLinLhmTJEmaKoZ5Y9jfBF4PrImIq0rZnwHLgNMj4jjgZuBVZdl5wGHAWuB+4Nghtk2SJGnCGFpCVs4Fiz6LF/dYP4Hjh9UeSZKkico79UuSJLXMhEySJKllJmSSJEktMyGTJElqmQmZJElSy0zIJEmSWmZCJkmS1DITMkmSpJaZkEmSJLXMhEySJKllJmSSJEktMyGTJElqmQmZJElSy0zIJEmSWmZCJkmS1DITMkmSpJaZkEmSJLXMhEySJKllJmSSJEktMyGTJElqmQmZJElSy0zIJEmSWmZCJkmS1DITMkmSpJaZkEmSJLXMhEySJKllJmSSJEktMyGTJElqmQmZJElSy0zIJEmSWja0hCwiPh0RP4qIazrKdomICyLixvJ351IeEfGxiFgbEVdHxAHDapckSdJEM2OI2/4M8M/AqR1lS4GLMnNZRCwt8ycChwL7lMdBwMfL3wlr3tJzH54+Yf5GjumYX7fs8ElblyRJU0G/786J+r05tD1kmflN4KddxUcAy8v0cuDIjvJTs3IJMCcidh9W2yRJkiaS8T6HbCQzbyvTtwMjZXoucEvHereWMkmSpCkvMnN4G4+YB5yTmc8q83dn5pyO5Xdl5s4RcQ6wLDO/XcovAk7MzFU9trkEWAIwMjJy4IoVK3rWvWHDBmbNmjWq9o4mZs36ex6eHpkJdzzwyLL5c2dv0frGWle/uKYxY41r2sbxrKsuzv6wP+riJkp/TIY22h/t1VUXZ380r6vbls4lFi1atDozF/RaNt4J2fXAwsy8rRySXJmZ+0bEyWX6tO716ra/YMGCXLXqUTkbACtXrmThwoWjau9oYrqPTZ+05pHT8Zoen25a31jr6hfXNGascU3bOJ511cXZH/ZHXdxE6Y/J0Eb7o7266uLsj+Z1ddvSuURE9E3IxvuQ5dnA0WX6aOCsjvKjytWWBwP3DErGJEmSpoqhXWUZEacBC4EnRMStwF8By4DTI+I44GbgVWX184DDgLXA/cCxw2qXJEnSRDO0hCwzX9Nn0eIe6yZw/LDaIkmSNJF5p35JkqSWmZBJkiS1zIRMkiSpZSZkkiRJLTMhkyRJapkJmSRJUstMyCRJklpmQiZJktQyEzJJkqSWmZBJkiS1zIRMkiSpZSZkkiRJLTMhkyRJatmMthswncxbeu5m8yfM38gxpWzdssPbaJIkSSra/J52D5kkSVLLTMgkSZJaZkImSZLUMhMySZKklpmQSZIktcyETJIkqWUmZJIkSS0zIZMkSWqZCZkkSVLLTMgkSZJaZkImSZLUMhMySZKklpmQSZIktWxG2w3YUsb6C+2dcZ0xg+IkSZJgy+QS7iGTJElqmQmZJElSyyZUQhYRL42I6yNibUQsbbs9kiRJ42HCJGQRsTXwL8ChwH7AayJiv3ZbJUmSNHwTJiEDngeszczvZ+aDwArgiJbbJEmSNHQTKSGbC9zSMX9rKZMkSZrSIjPbbgMAEfEK4KWZ+cYy/3rgoMx8S9d6S4AlZXZf4Po+m3wC8JNRNmMsMeMdZxvbq2uscVO1rrHGTdW6xhpnG9ura6xxU7WuscZN1brGGlcX85TM3LXnksycEA/g+cDXOubfA7znMWxv1XjEjHecbbQ/Jkpdk6GN9sfka6P9YX9MlLrGu40T6ZDl5cA+EbFXRGwLvBo4u+U2SZIkDd2EuVN/Zm6MiLcAXwO2Bj6dmde23CxJkqShmzAJGUBmngect4U293/HKWa842xje3WNNW6q1jXWuKla11jjbGN7dY01bqrWNda4qVrXWOPGVNeEOalfkiRpuppI55BJkiRNT2O5EmCiPoA9gYuB7wHXAm8fRew6YA1wFaO4QgKYA5wB/DdwHfD8AevvW+rY9LgXeEfDut5Zntc1wGnA9g1i3l7Wv7auHuDTwI+AazrKdgEuAG4sf3duGPfKUt9DwIJR1Peh0o9XA18G5jSI+Zuy/lXA+cCTmtTVsewEIIEnNKjrfcD6jtfusKZ1AW8tz+1a4B8a9scXOupaB1zVIGZ/4JJN4xh4XsO6ngN8h+o98J/A45q8twaNkZq4vmOkJmbQ+OgXVztG+sXVjZGaumrHSF1d/cZITV2Dxke/uL5jpCZm0PjYHrgM+G6Je38p3wu4FFhb2rttw7i3lJhe781+Mf9OdRuka6jG+DYN404pZVdTfZbPahLXsfxjwIaGdX0G+EHH67Z/w7gAPgDcQPU987YGMd/qqOeHwJkN61oMXFHivg3s3TDuRSXuGmA5MKPHZ8/WwJXAOU3GR01c3/FRE1M7PmriasdHn5ja17nfY+AKk+kB7A4cUKZ3KoN3v4ax6/q9sAPilgNvLNPb0vUlMSB2a+B2qvuSDFp3bnmBZ5b504FjBsQ8qwy+HajOF7yw+83Vse4hwAFs/iX9D8DSMr0U+GDDuGdQJZ4r6Z+Q9Yp7yaY3MfDB7vr6xDyuY/ptwCea1FXK96S6iOTm7te+T13vA949oM97xS0qfb9dmX9i0zZ2LD8JeG+Dus4HDi3ThwErG7bxcuCFZfoNwN80eW8NGiM1cX3HSE3MoPHRL652jPSLqxsjNXXVjpGauL5jpK59A8ZHv7r6jpGamEHjIyhfVMA2VF+yB1N9Tr26lH8C+JOGcc8F5tHjc7km5rCyLKj+YW1aV+f4+EfKeB4UV+YXAJ/l0QlZv7o+A7yiZnz0izsWOBXYqsf46Nu+jnW+BBzVsK4bgGeU8jcDn2kQ9xtUN3Z/ein/a+C4Hs/vXcDneSRxqR0fNXF9x0dNTO34qImrHR99Ympf536PKXXIMjNvy8wryvR9VP9JDO1u/xExm+rL7ZRS54OZefcoNrEYuCkzb264/gxgZkTMoEqyfjhg/WcAl2bm/Zm5EfgG8Pu9VszMbwI/7So+girhpPw9sklcZl6Xmf1u2FsXd35pJ1T/we/RIObejtkdqf5jGlhX8RHgT0cZU6tP3J8AyzLzF2WdH42mvogI4FVUHyKDYhJ4XJmeTY8x0ifu6cA3y/QFwB90xfR7b9WOkX5xdWOkJmbQ+OgXVztGBnxu9BwjY/2sqYnrO0YG1VUzPvrF9R0jNTGDxkdm5oYyu015JNVekzNKea/x0TMuM6/MzHV9+rBfzHllWVLtwekeH/3i7oWH+3Emj36te8aV31/+ENX4aNTGXs+nYdyfAH+dmQ+V9X7UIIbyvB5H9Tqc2bCu2s+QPnG/Ah7MzBtK+aPGSETsARwOfKrMBwPGR6+40oa+46MmpnZ81MTVjo9eMWM1pRKyThExjyqLvrRhSALnR8Tq8msATewF/Bj4t4i4MiI+FRE7jqKZr6brQ7Rv4zLXAx8G/ge4DbgnM88fEHYN8IKIeHxE7ED1H8Keo2jfSGbeVqZvB0ZGEftYvQH4SpMVI+IDEXEL8FrgvQ1jjgDWZ+Z3R9mut0TE1RHx6YjYuWHM06leh0sj4hsR8eujrPMFwB2ZeWODdd8BfKj0x4epbrDcxLU88tuxr6RmnHS9txqPkTG8J+tiasdHd1zTMdIZ13SM9GhjozHSFddojPTpj4HjoyvuHTQYI10xA8dHRGwdEVdRHQ6/ALgJuLsjie75c3jdcZk5cHzUxUTENsDrga82jYuIf6Mav78G/FPDuLcAZ3eM/6Zt/EAZHx+JiO0axj0N+MOIWBURX4mIfZr2B1WSc1HXPyZ1cW8EzouIW6n6cdmgOKoEZ0ZELCirvIJHj5H/Q5W8PlTmH0+D8dEjrom+MXXjo1/cgPHRr67a17mXKZmQRcQsql207+g1CPv4rcw8ADgUOD4iDmkQM4Pq0M/HM/O5wM+oDts0aeO2wMuALzZcf2eqD8S9gCcBO0bE6+piMvM6qkM751MNvquo/pMZtfJfxcD/8LaEiPhzYCPVMf+BMvPPM3PPsv5bBq1fktM/o2Hy1uHjVB+M+1MlxSc1jJtBda7VwcD/Bk4v/2019RoaJu5U/0m/s/THOyl7bxt4A/DmiFhNdajqwV4r1b236sbIWN6T/WIGjY9ecU3GSGdc2f7AMdKjrkZjpEfcwDFS04e146NH3MAx0iNm4PjIzF9l5v5Uex6eR/XlNVB3XEQ86zHG/Cvwzcz8VtO4zDyW6nP1OuAPG8QdQpWYPip5G1DXe6j65depXu8TG8ZtB/w8MxcAn6Q6B6ppf/QdH33i3kl17uMewL9RHaarjQOeSbWD4SMRcRlwHx3fNRHxu8CPMnN1v/7qZSxxDWJ6jo+6uH7joyZm4OvcU47yGOdEf1DtPv0a8K7HsI33MeBcobLebsC6jvkXAOc2rOMI4PxRtOmVwCkd80cB/zrK5/V3wJtrls9j8/OKrgd2L9O7A9c3iesoX0mfc8j6xQHHUJ08vMNo6irLnlyz7OE4YD7Vf3brymMj1Z7H3UZRV+NlVMnwoo75m4BdG/bHDOAOYI+Gdd3DI7ezCeDeMbT/6cBlPcof9d5qMkbq3pP9xki/mAbjo/b932+MdMc1GSMN6urZx336sXaM1PTHoPHRq67aMdLgefUcH13rvJcqsfwJj5z3t9nP49XEvbtjfh0Dzu3tjAH+iurQ3FZ1Mb3qKmWHUM4DGhD3V1R7TDaNj4eAtaOsa2HDut5NdbHHXh2v2T0N++MJwJ00uwBs02t2U9f75Xtj6MeXAKd3zP891R6wdaXf7qf656h2fPSJ+1zd+KiLqRsfg+rqNT4axgx8nTc9ptQesvIf5SnAdZn5qKy+Jm7HiNhp0zTVYLpmUFxm3g7cEhH7lqLFVFcnNTGavR5QfRkcHBE7lOe5mCpbrxURTyx/n0x1/tjnR1Hn2cDRZfpo4KxRxI5aRLyUatfvyzLz/oYxnbvuj6D64KqVmWsy84mZOS8z51G9oQ4or2ddXbt3zL6cBmOkOJPqpG0i4ulUF380/bHa3wb+OzNvbbj+D4EXlukXUV39OFDHONkK+AuqE2w7l/d7b9WOkbG8J/vFDBofNXG1Y6RX3KAxUlNX7Rip6Y8z6TNGBvRh3/FRE9d3jNQ8r0HjY9eImFOmZwIvpvp8upjq8BX0Hh+94mrfw/1iIuKNwO8Ar8lyrlWDuOsjYu+O5/6y7vr7xK3OzN06xsf9mbl3gzbu3lHXkTx6fPTrjzMp44PqtbuhQQxUfX9OZv68YX9cB8wuY5COsoFt7Bgj21HtEXp4jGTmezJzj9JXrwa+npmvZcD46BM36MhQz5hB46NXHPD6uvFRU1ft61zX+CnzAH6L6pDJpkvcr6LHrQl6xD2V6rLWTZfx/vko6tyf6tLxq6neNI+6NUSPmB2p/muZPcrn9/4yGK6hurJnuwYx36JKEr8LLK5Z7zSqQyy/pPryOY7qGP9FVB/YFwK7NIx7eZn+BdV/74/6r7hP3FqqK3U2vXbdV8P1ivlS6Y+rqS7Hn9ukrq7l63j0f1m96vos1WX/V1MlIrs3fF7bAp8r7bwCeFHTNlJdrfOmUbxmvwWsLq/3pcCBDePeTvUhfwPVOSPR5L01aIzUxPUdIzUxg8ZHv7jaMdIvrm6M1NRVO0Zq4vqOkbr2UT8++tXVd4zUxAwaH8+muuz/6vIc3tvx2XpZee2+SNdnVk3c26jGx0aqBPJTDWI2Uu1Z3NTu7qtOHxVHddrO/yuv2TVUe226b+nRs76udbqvsuzXxq931PU5Hn2LjX5xc4BzS+x3gOc0aR/VHuiX9hkf/ep6eannuyX+qQ3jPkSVvF1P/S2WFvLI1Yi146Mmru/4qImpHR+94pqMjz511b7O/R7eqV+SJKllU+qQpSRJ0mRkQiZJktQyEzJJkqSWmZBJkiS1zIRMkiSpZSZkkqaEiPhVRFwVEddExBfLLzI81m0ujIjf6Jh/U0Qc9Vi3K0ndTMgkTRUPZOb+mfksqp/2eVPnwoiYMYZtLgQeTsgy8xOZeepjaqUk9WBCJmkq+hawd9nD9a2IOJvyKxoRcWZErI6IayNiyaaAiHhpRFwREd+NiIui+nHtNwHvLHveXhAR74uId5f1946IC8v6V0TE00r5/46Iy6P6YeH3j/szlzQpjeU/RkmasMqesEOpfh8S4ADgWZn5gzL/hsz8afnZl8sj4ktU/5x+EjgkM38QEbuUdT5BdRf2D5dtL+6o6t+BZZn55YjYHtgqIl4C7EP1g8sBnB0Rh2TmN4f8tCVNciZkkqaKmRFxVZn+FtVvMv4G1Q9h/6BjvbdFxMvL9J5UCdSuwDc3rZeZP62rKKrfvp2bmV8u6/+8lL+E6rdwryyrzirbNyGTVMuETNJU8UBm7t9ZUP22Lz/rmF9I9YPcz8/M+yNiJbD9FmxDAH+fmSdvwW1KmgY8h0zSdDIbuKskY78GHFzKLwEOiYi9ACJil1J+H7BT90Yy8z7g1og4sqy/Xbmq82vAGyJiVimfGxFPHOYTkjQ1mJBJmk6+CsyIiOuAZVSJGJn5Y2AJ8B8R8V3gC2X9/wRevumk/q5tvZ7q8OfVwH8Bu2Xm+cDnge9ExBrgDHokdJLULTKz7TZIkiRNa+4hkyRJapkJmSRJUstMyCRJklpmQiZJktQyEzJJkqSWmZBJkiS1zIRMkiSpZSZkkiRJLfv/dbwUVhi0KikAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#data['practice'].value_counts().sort_index()\n",
    "\n",
    "data['practice'].value_counts().sort_index().plot(kind='bar', figsize=(10, 5), rot=0)\n",
    "plt.xlabel('Practice')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Frequency of practices')\n",
    "#plt.xlim(0, 100)\n",
    "plt.ylim(0, 700)\n",
    "plt.grid()\n",
    "plt.savefig(r'output/hospitalisation_risk/practices.png', edgecolor='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "c:\\Users\\m84300af\\OneDrive - The University of Manchester\\Documents\\GitHub\\amr-uom-brit\n"
     ]
    }
   ],
   "source": [
    "current_working_dir = os.getcwd()\n",
    "print(current_working_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "F    9531\n",
      "M    9531\n",
      "Name: sex, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 216x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#data['sex'].value_counts().sort_index()\n",
    "\n",
    "data['sex'].value_counts().sort_index().plot(kind='bar', figsize=(3, 5), rot=0)\n",
    "plt.xlabel('Sex')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Frequency of sexes')\n",
    "#plt.xlim(0, 100)\n",
    "plt.ylim(0, 10000)\n",
    "plt.grid()\n",
    "print(data['sex'].value_counts().sort_index())\n",
    "plt.savefig(r'output/hospitalisation_risk/sexes.png', edgecolor='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0-4      2118\n",
      "15-24    2118\n",
      "25-34    2118\n",
      "35-44    2118\n",
      "45-54    2118\n",
      "5-14     2118\n",
      "55-64    2118\n",
      "65-74    2118\n",
      "75+      2118\n",
      "Name: age_cat, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#data['age_cat'].value_counts().sort_index()\n",
    "\n",
    "data['age_cat'].value_counts().sort_index().plot(kind='bar', figsize=(10, 5), rot=0)\n",
    "plt.xlabel('Age category')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Frequency of age categories')\n",
    "#plt.xlim(0, 100)\n",
    "plt.ylim(0, 2500)\n",
    "plt.grid()\n",
    "print(data['age_cat'].value_counts().sort_index())\n",
    "plt.savefig(r'output/hospitalisation_risk/age_categories.png', edgecolor='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\m84300af\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data['antibacterial_prescriptions'], hist=True, kde=True, \n",
    "             bins=15, color = 'blue', \n",
    "             hist_kws={'edgecolor':'black'},\n",
    "             kde_kws={'linewidth': 2})\n",
    "\n",
    "plt.xlabel('Number of prescriptions')\n",
    "#plt.ylabel('Frequency')\n",
    "plt.title('Antibacterial prescriptions')\n",
    "#plt.xlim(0, 100)\n",
    "#plt.ylim(0, 1100)\n",
    "plt.grid(True)\n",
    "plt.savefig(r'output/hospitalisation_risk/antibacterial_prescirption.png', edgecolor='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.groupby(['practice'])['population'].sum().plot(kind='bar', figsize=(10, 5))\n",
    "#plt.ylim(0.5, 2)\n",
    "plt.xticks(rotation = 0, ha=\"right\")\n",
    "plt.title(\"Population of each practice\")\n",
    "plt.xlabel('Practice')\n",
    "plt.ylabel('Population')\n",
    "plt.grid()\n",
    "plt.savefig(r'output/hospitalisation_risk/antibacterial_prescirption_grouped_population.png', edgecolor='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\m84300af\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data['population'], hist=True, kde=True, \n",
    "             bins=15, color = 'blue', \n",
    "             hist_kws={'edgecolor':'black'},\n",
    "             kde_kws={'linewidth': 2})\n",
    "\n",
    "plt.xlabel('Population')\n",
    "#plt.ylabel('Frequency')\n",
    "plt.title('Population in each practice')\n",
    "#plt.xlim(0, 100)\n",
    "#plt.ylim(0, 1100)\n",
    "plt.grid(True)\n",
    "plt.savefig(r'output/hospitalisation_risk/population.png', edgecolor='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['date'].value_counts().sort_index().plot(kind='bar', figsize=(10, 5))\n",
    "plt.ylim(0, 1000)\n",
    "plt.xticks(rotation = 45, ha=\"right\")\n",
    "plt.title(\"Dates of antibiotics practices between 2019-01-01 to 2021-09-01\")\n",
    "plt.xlabel('Dates')\n",
    "plt.ylabel('Frequency')\n",
    "plt.grid()\n",
    "plt.savefig(r'output/hospitalisation_risk/STARPU_barchart.png', edgecolor='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2019-01-01    540\n",
       "2019-02-01    540\n",
       "2019-03-01    558\n",
       "2019-04-01    540\n",
       "2019-05-01    576\n",
       "2019-06-01    522\n",
       "2019-07-01    522\n",
       "2019-08-01    576\n",
       "2019-09-01    576\n",
       "2019-10-01    540\n",
       "2019-11-01    504\n",
       "2019-12-01    522\n",
       "2020-01-01    558\n",
       "2020-02-01    576\n",
       "2020-03-01    576\n",
       "2020-04-01    522\n",
       "2020-05-01    576\n",
       "2020-06-01    558\n",
       "2020-07-01    540\n",
       "2020-08-01    612\n",
       "2020-09-01    558\n",
       "2020-10-01    576\n",
       "2020-11-01    576\n",
       "2020-12-01    576\n",
       "2021-01-01    594\n",
       "2021-02-01    576\n",
       "2021-03-01    612\n",
       "2021-04-01    576\n",
       "2021-05-01    558\n",
       "2021-06-01    594\n",
       "2021-07-01    540\n",
       "2021-08-01    576\n",
       "2021-09-01    558\n",
       "2021-10-01    558\n",
       "Name: date, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.date.value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.groupby(['date'])['value'].mean().plot(kind='line', figsize=(10, 5))\n",
    "plt.ylim(0.5, 2)\n",
    "plt.xticks(rotation = 45, ha=\"right\")\n",
    "plt.title(\"Mean STAR-PU values of each month between 2019-01-01 to 2021-09-01\")\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('STAR-PU')\n",
    "plt.grid()\n",
    "#plt.xticks(values)\n",
    "plt.savefig(r'output/hospitalisation_risk/STARPU_linechart.png', edgecolor='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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mnJg6FVtvFCm9LAlfIE+WsL19CMlHK4r1RozL943xaVfCcy+ihJ6UKcsHEBK65YQT6hOEGq6yPpeDYpz/Xmz+6YREbh1huJI7isrKN3tZ9iQkhPmExvO3s2Mvy31jzFcSEp8XCb+uO8T5a/i69+uAUsrZIG53Ufy7ndhLsHh5Snl+iWWIy34U47Wa8MX7KPD/iu07E2MsZgJHlbJPlvr5lLB/lNRLbwxwfgXe7w7bivO+IvZ0JQwn8Hl8P88UXx6nr6XYvlfsfaT2spzOjj3imhMux+XF5Z8BZ8dl9WJsVwLLU57zCDAnZfrmGM+simw3Lv8WMImve/7em7LMgT1Spu9P/QyLvb+3CZf481P+Xk5Z3gp4hnAczgPOLfZ8L/6XsuxnhP1rffw8R5Rz/NUnDJNQlKT+ooTPtfjrdS9je4cTapo3EvbP1P3rohK2dX8Z27qX0MloNeHSZKn7ZAnPvY8de2nmA1Mq8r4JtVRe7Ln5xY6l4u8jt4z3YcCNcZ9cGR+n9pIcE/fFlYTvpMblfGbDgHExxuOBYZUtW03/sxgUEREREUmILlmKiIiIJCyjCZmZtbBwK4upZvalme1v4TYbr5vZjPi/ZVzXzOx2M5tpZhMtjmskIiIiUtNluobsNuAVd+9H6KnxJfBr4E13700YZ+rXcd1jCG05ehN6z/0jw2UTERERqRYy1oYs9jb5HOjpKS9iZtMIt7RYZOEGqLnu3tfM/hkfP1J8vYwUUERERKSayGQNWQ9C75n7zOwzC3evb0wYu6goyVpMGOATQq/C+SnPz6OCA5GKiIiI7M5KvEP7Ltz2XoRxVT42s9v4+vIkEPo+m1laVXRmdinhkiYNGzYc3qVLl11V3hIVFhZSp476PqRDMUufYpY+xSx9iln6FLP0KWalmz59+nJ3b1vSskwmZHmEsX8+jtNPEBKyJRZGVi+6ZLk0Ll9AGA2+SGdKGBnew82A7wYYMWKEjx07NlPlByA3N5dRo0Zl9DVqGsUsfYpZ+hSz9Clm6VPM0qeYlc7MSrsTTOYuWbr7YmC+mRXdwPcwwkCjzxHuhUX8/2x8/BxwQextuR+wRu3HREREpDbIZA0ZwE+Ah+OtEGYDFxOSwMfM7BLCyOZnxnVfItyzcCbhRrcXZ7hsIiIiItVCRhMyd/8cGFHCosNKWNcJt2QRERERqVXU6k5EREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYRlNyMzsKzObZGafm9nYOK+Vmb1uZjPi/5ZxvpnZ7WY208wmmtlemSybiIiISHVRFTVko919qLuPiNO/Bt50997Am3Ea4Bigd/y7FPhHFZRNREREJHFJXLI8CfhPfPwf4OSU+Q948BHQwsw6JFA+ERERkSpl7p65jZvNAVYBDvzT3e82s9Xu3iIuN2CVu7cwsxeAG9x9TFz2JnClu48tts1LCTVo5OTkDH/00UczVn6A/Px8mjRpktHXqGkUs/QpZulTzNKnmKVPMUufYla60aNHj0u5YriD7Ay/9oHuvsDM2gGvm9nU1IXu7maWVkbo7ncDdwOMGDHCR40atcsKW5Lc3Fwy/Ro1jWKWPsUsfYpZ+hSz9Clm6VPMKiejlyzdfUH8vxR4GtgHWFJ0KTL+XxpXXwB0SXl65zhPREREpEbLWEJmZo3NrGnRY+BIYDLwHHBhXO1C4Nn4+Dnggtjbcj9gjbsvylT5RERERKqLTF6yzAGeDs3EyAb+6+6vmNmnwGNmdgkwFzgzrv8ScCwwE9gAXJzBsomIiIhUGxlLyNx9NrBnCfNXAIeVMN+BH2WqPCIiIiLVlUbqFxEREUmYEjIRERGRhCkhExEREUmYEjIRERGRhCkhExEREUmYEjIRERGRhCkhExERqUY2byvg9S+WsK2gMOmiSBVSQiYiIlKN3PzqNL77wFj+9d6cpIsiVUgJmYiISDUxft4q7hkzh0b1svjbWzNYtGZj0kWSKqKETEREpBrYtLWAXz0xkfbNGvDkD0ZSUOj834tfJl0sqSJKyERERKqB29+cwcyl+Vx/2hD6d2jGD0b14oWJi/hg1vKkiyZVQAmZiIhIwiblreGf787mjOGdOaRPWwC+f0gvurRqyLXPTWGrGvjXeErIREREErRlWyG/fGICrRvX45rjBmyf36BuFr87fiDTl+TzwIdzEyyhVAUlZCIiIgn6+9szmbp4HdedMpjmjerusOzw/u0Y1bctf319OkvXbUqohFIVlJCJiIgk5MtFa/n72zM5eWhHDh+Q843lZsbvTxjI5m2F3PDy1ARKuHtYtX4Ln81blXQxdooSMhERyYiNWwp4b8Yy7n53FvNXbki6ONXO1oJwqbJFo7r8/oSBpa7Xo01jvnNQD54av4CxX62swhJWb+7OR7NXcNmjn7HvdW9yyp0f8MS4vKSLVWnZSRdARERqhq0FhUyYv5oPZq3g/ZnL+WzearbExuh3vDWTm8/YkyMHtk+4lNXH3e/OZvKCtfzjvL1o2bhemev++NA9ePqzBfzu2Sk8/5MDyapjVVTK6mfl+i08OS6PRz6Zx+zl62naIJtz9unC1MXr+M1Tk+jRpjHDu7VMuphpU0ImIlJB+Zu3MWfZenq1a0yjejp9FhY6Xyxay4ezVvD+rOV8MmclG7YUYAYDOzbjogO6M7JXa9o3b8AVj0/g0gfH8Z0De3DlMf2om1W7L9DMWLKO296YwbGD23PM4A7lrt+oXjbXHDeAH/13PP/9eC7f2r975gtZjYTasJU88sk8Xpm8mC0FhQzv1pKbR+/BcYM70LBeFqvWb+HkO9/new+O47kfH0DHFg2TLnZadEaR7QoKnecnLOTO3JnUy67DxSN7cMKeHamXXfNPnGs2bGXVhi10a90Is9rzy3PO8vWs2biVLi0b0qpxvVr13stSWOjkrdrIF4vWMnXxWr5ctJYvF61jXrzs1rllQ248bQgj92hTpWUaO3cVqzZsYeOWAjZsKWDDlm1s3FLAxq1heuOWAjZsLWDjlm1xeQGbthZsf2wFW+j8xfu0aVKfNk3q07ZJPdo0rb99uk2TerRuUp9mDbJL3BfcndnL1/PBrBV8MHM5H85eweoNWwHo1bYxp+3VmQP2aM2+PVp/o8bnie+P5P9e/JJ/j5nD+HmruOPcvXa7L8xdpaDQ+eUTE2lcP4s/njSows87dnB7RvZqzU2vTuPYwR1o3aR+BktZPazI38yT4/N45JP5zFm+nmYNsjl3366cs09X+rZvusO6LRvX498XjOCUOz/g0gfH8vj3RtKwXlZCJU+fEjLB3Xll8mJufX06M5bm0699UzZvLeTyxyfw51emcuHI7py3b1daNCq7Sr2627S1gHkrNzB7WT6zl69nzrL1zFm+ntnL17Ny/RYgfKmculdnThnWqUZ/WcxdsZ5bX5/OcxMW4h7mNa6XRZdWjcJfy0Z0bdWQLq0a0bVVIzq3bLRbndjSsX7zNqYtWReTrrVMXbSOqYvXkb95GwBm0KN1YwZ3as6ZIzrToXlD/v72TM7998ect29Xrjq2P03qZ/ZUOjFvNb99dgoT5q8ucXl2HaNhvSwa1cuiUb1sGtYNj5s2yKZd0/o0qpdFw3pZfDV/IVn1spm/cgOfzVvFyvVbKPRvbq9edh3aNE5N1uqxtcD5cNYKFq8NPf06Nm/A4f1zOGCP1uzfsw3tmzco8z00qJvFn04exD49WvHrJydy7O3v8ZczhzK6X7udDc9u594xc/h8/mpuO3sobdJIqsyMP5w4kGNue4+bX5vG9acOyWApk+Me9rX/fjKPV6csZmuBs3f3lvzk0D04dnAHGtQt/VzUO6cpt58zlEv+M5ZfPjGBv50zbLf5oamErBZzd3KnLePm16YxZeFaerZtzB3nDuPYQR0wg3emL+OeMXO46dVp3PHWTE4f3plvH9iDHm0aJ130UhUWOgtWb2TO8vXb/2Yty2fO8vUsWL1xe/IB0K5pfXq0acxRA3Po0aYxDepm8cKERdz06jRufm0aI3u15tRhnTl6UHsaZ/gLt6osXbuJ29+awaOfzCc7y/j+Ib3Yq2tL5q/cwPxVG5i/cgPzVmxgzIzlbNxasMNz2zSpv0OS1qVlI7q3acyAjs0ynpDsKu7OhLw1vDd9GV/EBGzuyg3b94um9bPp16Epp+7Vif4dmtG/QzP65DT5xuXJ44Z04JbXpvHvMXPInbaMG08fwgEZqC1btX4LN702jUc+mUfrxvW58bQhDOjY7Ovkq242DetlVbgWOzd3JaNG7bt9uqDQWbl+C8vzN3/9t24Ly9fH//mbWbJ2E1MWrqHQYZ8erTigVxtG9mpd6drkE/bsyMCOzfjhw+O5+P5P+cGoXlx+RB+ya8klzNnL8rn5tWkc3j+HE/fsmPbze+c05eIDuvPvMXM4e++u7Nmlxa4vZEJWrt/C42Pn88gn8/hqxQaaN6zLt/brzjn7dKF3TtPyNxAd2i+HK4/uxw0vT6VvTlN+cljvDJZ619k9zqIJKSh0tpX08zGDZi/L54WJi3hx4iKWrtvE6H7tOHpgew7u07bMXwXp+mDmcm5+bRrj562mS6uG3HLGnpw0tOMOJ8VRfdsxqm87pi5eyz3vzeF/n87noY/ncnj/HL5zYA/26dGq2vzyWLB6I396/gvemraULdu+HtG6Sf1serRpzF5dW3L68M70aNOYnm2a0L1NI5o2qPuN7Vywf3fmrdjAU5/l8dT4BVz++AR+++xkjh7UntP36sx+PVtTZzdsTLtmw1buencW970/h20Fztn7dOGnh/amXbOSazXcnRXrtzBvZUjSwt9G5q3cwLi5q3h+wsLtNStmsEfbJgzu3Jw9O7dgcOfmDOjQbJfurzujoNAZN3cVL09exKuTF7NwTajh6da6Ef3bN+OUYZ3p36Ep/Ts0o3PLhhXapxvUzeLq4wZw9KD2/PLxiZz37485d9+uXHVMvxL3q3QVFjqPjZ3Pn1+ZytpN27hoZHd+fkQfmu2CbafKqmO0bVqftk2r9tJXz7ZNeOZHB3Dtc1P4R+4sxs1dxd/OGUZOKftjTVFY6Fz55ETqZ9fhulMGVfr8+dPDevPM5wv53bOTefqHB+yW56Ti3pq6hMsfm8CqDVvZp0crfnZ4H44e1L7S55HvHdyTaYvXccvr0+md05SjB1X/ziRKyMrw0ewV/PjNDRyUN5aDerfhwD3a0KNN412ehMxfuYHnJy7khQmL+GLRWgD27t6S/h3a8sYXS3hq/AIa1ctidN92HD2oPaP7tat0jcS4uSu5+dXpfDh7BR2aN+C6UwZzxojOZTaw7de+GTedsSe/PLovD304lwc/msvrXyxhcKfmfOegHhw7uENiDXS3FRRy/wdfcevr03GHc2O7gh5tGtOzbWPaNqmf9ufVtXUjfnZ4Hy47rDdj567iyXF5vDhxEU+NX0DH5g04eVgnThvemV5tm2ToXe06G7cUcN8Hc7grdxbrNm/jxD078osj+tCtddm1nGa2vV3RXl2/2Vtpa0Ehi1ZvYuaydUzMW8OkvDW8O305T41fAIRLaH1ymrJnl+YM7tSCIZ2b07d90yrbT7YVFPLR7JW8PHkRr32xhGXrNlMvqw4H9W7Dz4/ow+H9c8rt1VYRw7u14qXLDuLW16fz7/dm8860Zdxw2mAO6t220tuclLeGa56dzIT5q9m7e0v+eNIg+ndottNlrW4a1M3ihtOGsE+PVlz99GSOve09bjt7GAf2rrp2eVXtgQ+/4tOvVnHzGXuW+mOoIpo2qMtvju3Hz/83gcfHzeesvbvukvJt3lbAHW/N5PP5q7nqmP4M6Jj5/W7LtkL+/MpU7hkzhwEdmvHf7+63S/Z3M+P6Uwcze/l6fvHY53RrPbLaH0fmXrU1QLvSiBEjfOzYsRnb/peL1vLnJz9k5vq65K3aCECnFg1Dcta7DQf0alPpk/rC1Rt5ceIiXpi4kAl5awAY2qUFxw/pwHFDOtCheWi/tLWgkA9nreCVKYt5bcpiludvoV52HQ7u3YajBrbniAE5FWrbNSlvDbe8Po3cacto06Q+Pxrdi3P26VqpXx8btxTw1Gd53DNmDrOXradD8wZcOLI75+zdleaN6pKbm8uoUaPS3m66JsxfzVVPTeKLRWs5tF87/njSQDq3bJSR19q0tYDXvljCU+PzeHf6Mgod9uzSgtP36sTxQzru9Jf7ro7Zlm2F/O/Tedz+1kyWrdvMof3accWRfTN6gnV3Fq/dxIT5a5iYt5pJC9YwMW8NazaGRt/1suswoEMz9uzcnMGdQ5LWtVWjSv8CLh6zzdsKeH/mcl6etJjXv1zC6g1baVg3i1F923L0oPYc2q/dLqm9Ks24uav45RMTmL1sPefs04XfHNs/rddbvWELN706jf/Gy5NXH9ePk4d22qU/AKvq2EzXjCXr+MHD45m1LJ+fHtqbnx7We6eHddi0tYDJC9Ywbck6Nm4pYEtBIZu3FrJ5WyGbtxWweVshW7bF6a0FJc7fWlBIt4ZbuOaMkfRJ45JZSeat2MBRf32XfXu24r6L9t7pz9XdOfOfHzJr2XreuvyQnW7jOzFvNb98fCLTlqyjSf1sNm0t4AejevHjQ/egfnZ6x2hF97O5K9bzk0c+Y2LeGi7cvxtXHdt/l9esL127iRPuGEN2nTo89+MDEu8IYWbj3H1EicuUkJUtNzeXQw45hLkrNvDezOWMmbGMD2atYN2mbZjBoI7Ntydow7u1LHPHXbp2Ey9NWsQLExcxdm4YUXhQp2YcP6Qjxw3uQJdWZScTRZdeXpm8mFenLGbB6o1k1TH279maowe158iBObRruuOvrmmL1/GX16fzypTFtGhUl+8f0osL9u+2S7rsFxY6udOX8u/35vDBrBU0qpfFmSO6MCB7CWcee+hOb780azdt5ZZXp/HAR3Np17Q+154wkKMHta+yy6dL127i2c8X8uT4PKYuXkfdLOOwfjl875CeDCuhNqkidtUXZWGh89yEhdz6+nTmrdzA3t1b8quj+7F391Y7ve3KcHfmrdzAhLw1TMpbzYS8NUxZsIb1W75un9aiUV3aN2tA++YNdvif07wBHeLj5g3rfuPzzc3NZd+RB/HO9KW8PHkxb325lHWbt9G0fjaH9m/HMYPac0ifdlXaGWHT1gL+8sZ0/vXubNo3a8ANpw3h4D5l15YVvzx5wf7dMnJ5EqpvQgawYcs2rnl6Mk99toAD9mjNX88altal1KXrNjF+7irGzV3F2LmrmLxgDVsLvvn9Vi+7DvWz6lC/bh3qZ2dRP7tOmJcdprc/rluHgkLnrS+XsLUQDurdhm8f2INDerdN+xKhu3Puvz5m0oI1vPbzg3dZh6EvFq7l+L+9x/n7dUurt2aqzdsKuP3NGdz1zmzaNKnH9acOZliXlvzpxS94avwC9mjXhD+fNiStcb0qsp89N2Ehv3lqEll1jBtPH8JRGRyfbmLeas6460P27NyCh76zb6IjBygh2wkl7VjbCgqZkLeGMTOWM2bmMsbPW01BodOwbhb79mzFgXu04aDebemT04SV67fw8uTFvDBxIR/PWYk79GvfNNaEdax0A3l3Z9KCNbw8eTGvTF7MnOXrMYPhXVty9KD2DO3Sggc/mstzExbSpF42lxzUg0sO7JGxGoIpC9dwz5g5PD9hIVsLnJG9WnPGiM4cPbDDLvtCdHdenryYPzw/haXrNnPh/t25/Mg+Ga31KK88Xyxay5PjFvDM5wtYtWELF+zXjSuO6pt2mXb2i9LdeWvqUm56dRpTF6+jf4dm/Oqovozq27batPMrUlDozFmez6QFa1i4ehOL1mxk8ZrNLF4b/q9Yv5nip6UGdeuEJK1ZSNJymjdg3NS5TFkJG7cW0LJRXY4YkMMxgzowco/Waf+i39U+m7eKKx6fwKxl6zl77y785rj+JSZYk/LW8NtnJ/N5FV2erM4JGYT9+LGx8/nds1No1rAufztnGPv1bP2N9QoKnWmL1zFu3irGfbWScfNWMX9luIpRL7sOQzo1Z3i3luzVrSWDOzWncf3skHhl1Uk7mXr+tbeZV7cL//ngK5au20yvto25+IAenLZX5wqf2x7+eC5XPz2Z608dzDn77JrLi0V+/+xkHvxoLs//5EAGdmye1nNTa8VOH96Z3x43YId7aeZOW8rVT09m4ZqNXDSyO1cc2bdCHZzK2s82bingD89P4dFP5zO8W0tuP2cYnaqgR/uzny/gskc/55x9unDdKYMTOy8qIdsJFTmBrdu0lY9mr2TMjGW8N3M5s5etB6BNk3qs2rCVgkKnZ9vGnDCkI8cP6ZBWb5GKcHemL8nnlcmLeWXKYr6M7dAa1s3iogO6c+lBPXdJe5mKWLJ2Ezc89i5jV2Yzf+VGmtbP5vg9O3LGiM4M69Ki0gfB/JUb+P1zU3hr6lIGdGjGdacOZmg16l20btNWbnltOv/58CtymjbgDycNTOsX3858UX4yZyU3vjKVsXNX0a11I35xRB9OGNJxt23ou2VbIUvXbWLJ2k0sWrOJxWu+flz0f+nazTTMdk4Y1oVjBnVg3x6tql0vvU1bC/jrGzO4+91Z5MTaskNibVlVXJ4sSXVPyIp8uWgtP3x4PHNXrOfyI/ty/n7dmDB/NWPnrmL83FV8Nm/V9lrWNk3qM6JbS4Z3a8nw7i0Z2LHZLk3Ii2K2ZVshL05ayD1j5jB5wVpaNKrLOft05cL9u5c55MeC1Rs56i/vsmeX5jx0yb67/DNes2Ero2/JpWebxjz+/f0rtP2SasUO7ffN+2hCGAz5xlem8sCHc+ncsiHXn1p+G8nS9rNpi9fx4/+OZ+ayfH44qhc/P7xqe9fe+MpU7sydxR9OHMiFI7tX2eumUkK2EypzAluweiNjZizjo9kr6dC8AccP6Uj/Dk2rLCP/avl6xs1dxcF92lZ57ykIMTv44EP4eM5KHh83n5cnLWbj1gJ6tW3MGSO6cOqwThVu0Lq1oJD73p/DX16fgRn84og+XDSye7X78i3y2bxVXPXUJKYuXseRA3L4w0kDt7cHLEu6+5m78/7MFfz97Zl8OHsF7ZrW57LDe3PmiC61YgR0dyc3N5fRo0cnXZRyfT5/NVc8PoGZS/M5a0QXhnRpzs2vTsv45cmS7C4JGYQfOVc9NYkXJi7aPq+OQd/2zRjerQXDu7VkRLdWFe4ZW1nFY+bufPrVKu4ZM5vXvlhClhnHDenAJQf2YEjnFjs819258L5PGfvVSl792cHlNkuprP99Oo8rn5zErWfuyal7dS5z3fJqxUrzyZyV/PrJicxevp4zR3Tm6mNLf15JMXv00/lc+9wUmjaoy1/PGppI543CQufSB8fx9rSlPPDtfTIyVE15lJDthN3pBFZdFI/Zuk1beWnSIh4bm8e4uavIqmOM6tOWM0Z05tB+OaVezx8/bxW/icnN4f1DclMVVds7a2tBIfeMmcNf35hOdp06/PKo8Au/rEbKFd3PCgud179cwp1vz2RC3hpymtXnuwf15Lx9u9XYgVtLszsdm5u2FnDbmzP45zuzKHQS6z25O8UMwhf5s58vZO6KDezVrQVDu7So8iYKZcVs3ooN3P/BVzw2dj75m7cxoltLLjmwB0cObE9WHeOxsfP51RMT+eNJA7kgg7c6Kix0TvnHByxYtZG3rzikxBilUytWmqL9+O53Z9OqcT3+dNKgEoeTSI3Z2phYvzhxEQf1bsOtZw5NpKKgSP7mbZx25wcsXruJZ350QJWPq6mEbCfsbiew6qCsmM1als8T4/J4anweS9ZuplXjepw0tCNnDO+yvQfg2k1buemVaTz08dxKXf6rLuat2MDVz0zivRnLGdqlBdefOrjUL+Dy9rNtBYU8P3Ehd749ixlL8+naqhE/GNWLU/fqlHh7qaTsjsfm5AVryFu1kaMG5iTShmV3jFnSKtps5bGxedz/wRzmr9xI55YNOWefrtz1ziz6d2jGo9/dL+NNCCbMX83Jd77PJQf04JrjB+ywrLK1YqWZvGANv3piIl8sWsuxg9tz7YkDd+hQVhSzz+ev5iePjGfh6k1ccWRfvndwz2rRlGL+yg2ceMcYWjWux9M/OqDKaqih7IRM45BJlerVtglXHt2Py4/ow3szlvP4uPk89NFc7nv/KwZ2bMZh/drxyKfzWZG/mYtGdufyI/vuNqPAF9e1dSMe+PY+PPv5Qv70whec8LcxfPfgnlx2WO8Kd+3etLWAJ8bl8c93ZzF/5Ub65jTltrOHctzgDtX2sq2UblCn5gzqlF7Da6n+mjaoyyUH9uCikd15/Ysl3BvvcNKgbh1uPG1IlSQhe3Zpwdl7d+G+D77izL270Cen6Tdqxe69aETatWIlGdSpOc/++ADufnc2t70xg/dnruB3xw/g1L1CO8hCd/717mz+/MpUcpo14LHv7Z9WL81M69KqEXeeN5xv3fMxlz3yGf++cO+dHmZlV9g9v+lkt5edVYfR/doxul87Vq3fwrOfL+CxsXnc/tZMBnVqxr0X7s3gzrv/F5eZcfKwThzSpy3XvfQl/8idxYsTF/F/pwwqs2Fs/uZt/PfjufzrvTksW7eZoV1a8PvjB3Jov3bV4hemiHxTVh3j6EHtOXpQeyYvWEOhO92r8JLYL4/qx0uTFvP7Z6dw1bH9dmmtWHF1s+rwo9F7cNTA9lz55EQuf3wCz05YyC+P7Mtfx29m4rIvOXpge/582pBd+rq7yv69WnPtiQO55pnJ3PjKVK46tn/SRVJCJslr2bgeFx3Qg4sO6MGStZto06R+tfi1siu1bFyPm87Yk1P26sTVT0/mW/d8winDOnHNcf13GKhw1fot3P/BV9z/wVes2biVA/dow21nD2X/nq2r3fAVIlK6JGpCWzWuxxVH9eW3z0zmpL+/T7um9XdZrVhp9mjXhMe/tz8PfjSXP78yNQ7CCn86aSDn79etWp+3zt+vG9MWr+Of786mT05TThtedoeITFNCJtVKTb+X3chebXj5soO48+2Z/OOdWbw9bSnXHDeArE2F/N+LX/Dwx/PYsKWAIwbk8MNRvSo90KyI1E7n7tOV96Yvo1Xjelx1TP8qqZ2qU8e4cGR3Duvfjvve/4quhYv4VgY7MexKvzthADOX5nPVU5Po0bZxibeKqypKyESqWIO6WfziyL6csGdHrnpqElc8PgEDzOZw4p4d+cGoPejbfteOVScitUNWHePuC0psM55xnVs24rfHDyA3d2kir18ZdbPqcOd5e3HaXR8wc0m+EjKR2qh3TlMe+97+PD5uPu+Mn8qVpx9Q7k2/RURk12rZuB4vX3ZQ4j3WM95Ny8yyzOwzM3shTvcws4/NbKaZ/c/M6sX59eP0zLi8e6bLJpK0OnWMs/buypl96ykZExFJSNLJGFRBQgZcBnyZMv1n4C/uvgewCrgkzr8EWBXn/yWuJyIiIlLjZTQhM7POwHHAv+O0AYcCT8RV/gOcHB+fFKeJyw+z6tw9Q0RERGQXyXQN2V+BXwGFcbo1sNrdt8XpPKBTfNwJmA8Ql6+J64uIiIjUaBlr1G9mxwNL3X2cmY3ahdu9FLgUICcnh9zc3F216RLl5+dn/DVqGsUsfYpZ+hSz9Clm6VPM0qeYVU4me1keAJxoZscCDYBmwG1ACzPLjrVgnYEFcf0FQBcgz8yygebAiuIbdfe7gbsh3Msy0/dl073f0qeYpU8xS59ilj7FLH2KWfoUs8rJ2CVLd7/K3Tu7e3fgbOAtdz8PeBs4Pa52IfBsfPxcnCYuf8t35zufi4iIiFRQEncnvhL4hZnNJLQRuyfOvwdoHef/Avh1AmUTERERqXJVMjCsu+cCufHxbGCfEtbZBJxRFeURERERqU6SqCETERERkRRKyEREREQSpoRMREREJGFKyEREREQSpoRMREREJGFKyEREREQSpoRMREREJGFKyEREREQSpoRMREREJGFKyEREREQSpoRMREREJGFKyEREREQSpoRMREREJGFKyEREREQSpoRMREREJGFKyEREREQSpoRMREREJGFKyEREREQSpoRMREREJGFKyEREREQSpoRMREREJGFKyEREREQSll3WQjNbB3jKLAeWA28DV7r7igyWTURERKRWKLOGzN2bunuzlL/mwAhgCnBXlZRQREREpIZL+5Klu69y978AvTJQHhEREZFap1JtyMysLuVc7hQRERGRiimvDdmpJcxuCZwFPJGREomIiIjUMuXVcp1QbNqBFcBt7v5iZookIiIiUruUmZC5+8UAZtbG3ZdXTZFEREREapcy25CZ2fFmtgyYaGZ5ZjayisolIiIiUmuU16j/OuAgd+8InAZcn/kiiYiIiNQu5SVk29x9KoC7fww0zXyRRERERGqX8hr1tzOzX5Q27e63ZqZYIiIiIrVHeQnZv9ixVqz4tIiIiIjspPJ6Wf6hqgoiIiIiUlulPVK/mY3PREFEREREaqvK3DrJKrSSWQMz+8TMJpjZFDP7Q5zfw8w+NrOZZvY/M6sX59eP0zPj8u6VKJuIiIjIbqcyCVlFR+jfDBzq7nsCQ4GjzWw/4M/AX9x9D2AVcElc/xJgVZz/l7ieiIiISI2XdkLm7teY2RFm9no567m758fJuvHPgUP5+j6Y/wFOjo9PitPE5YeZWYVq40RERER2Z+WN1H+omU03s3wze8jMBpvZWOAG4B/lbdzMsszsc2Ap8DowC1jt7tviKnlAp/i4EzAfIC5fA7SuxHsSERER2a2Yu5e+0Owz4OfAh8AxwEPAr939jrRexKwF8DTwW+D+eFkSM+sCvOzug8xsMnC0u+fFZbOAfYvfQ9PMLgUuBcjJyRn+6KOPplOUtOXn59OkSZOMvkZNo5ilTzFLn2KWPsUsfYpZ+hSz0o0ePXqcu48oaVl545C5u+fGx8+Y2YJ0k7G4kdVm9jawP9DCzLJjLVhnYEFcbQHQBcgzs2ygObCihG3dDdwNMGLECB81alS6xUlLbm4umX6NmkYxS59ilj7FLH2KWfoUs/QpZpVTXkLWwsxOTV0/ddrdnyrtiWbWFtgak7GGwBGEhvpvA6cDjwIXAs/GpzwXpz+My9/ysqrvRERERGqI8hKyd4ATUqbfTZl2oNSEDOgA/MfMsght1R5z9xfM7AvgUTP7f8BnwD1x/XuAB81sJrASODutdyIiIiKymypvpP6LS1tmZjnlPHciMKyE+bOBfUqYvwk4o6xtioiIiNREaQ17YWYtzOwSM3uTULslIiIiIjupvEuWxPZfJwHnEmq8mhLGDns3oyUTERERqSXKG4fsv8B0QoP8vwHdCaPp57p7YeaLJyIiIlLzlXfJcgDh9kZfAl+6ewGhMb+IiIiI7CJlJmTuPhQ4k3CZ8g0zGwM0La9Bv4iIiIhUXHmXLPdz96nu/nt37wdcRrjf5Kdm9kGVlFBERESkhivvkuWdqRPuPs7drwC6Ab/OWKlEREREapFye1mWJI6gr16WIiIiIrtAeQlZTzN7rrSF7n7iLi6PiIiISK1TXkK2DLilKgoiIiIiUluVl5Dlu/s7VVISERERkVqqvEb9q8ysfdGEmV1gZs+a2e1m1irDZRMRERGpFcpLyFoAWwDM7GDgBuABYA1wd0ZLJiIiIlJLlHfJso67r4yPzwLudvcngSfN7POMlkxERESkliivhizbzIqStsOAt1KXZaZIIiIiIrVLeUnVI8A7ZrYc2Ai8B2BmexAuW4qIiIjITiozIXP3/zOzN4EOwGtxQFgINWs/yXThRERERGqDci87uvtHJcybnpniiIiIiNQ+5bUhExEREZEMU0ImIiIikjAlZCIiIiIJU0ImIiIikjAlZCIiIiIJU0ImIiIikjAlZCIiIiIJU0ImIiIikjAlZCIiIiIJU0ImIiIikjAlZCIiIiIJU0ImIiIikjAlZCIiIiIJU0ImIiIikjAlZCIiIiIJU0ImIiIikjAlZCIiIiIJU0ImIiIikjAlZCIiIiIJy1hCZmZdzOxtM/vCzKaY2WVxfisze93MZsT/LeN8M7PbzWymmU00s70yVTYRERGR6iSTNWTbgMvdfQCwH/AjMxsA/Bp40917A2/GaYBjgN7x71LgHxksm4iIiEi1kbGEzN0Xufv4+Hgd8CXQCTgJ+E9c7T/AyfHxScADHnwEtDCzDpkqn4iIiEh1Ye6e+Rcx6w68CwwC5rl7izjfgFXu3sLMXgBucPcxcdmbwJXuPrbYti4l1KCRk5Mz/NFHH81o2fPz82nSpElGX6OmUczSp5ilTzFLn2KWPsUsfYpZ6UaPHj3O3UeUtCw70y9uZk2AJ4GfufvakIMF7u5mllZG6O53A3cDjBgxwkeNGrULS/tNubm5ZPo1ahrFLH2KWfoUs/QpZulTzNKnmFVORntZmlldQjL2sLs/FWcvKboUGf8vjfMXAF1Snt45zhMRERGp0TLZy9KAe4Av3f3WlEXPARfGxxcCz6bMvyD2ttwPWOPuizJVPhEREZHqIpOXLA8AvgVMMrPP47zfADcAj5nZJcBc4My47CXgWGAmsAG4OINlExEREak2MpaQxcb5Vsriw0pY34EfZao8IiIiItWVRuoXERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEZSwhM7N7zWypmU1OmdfKzF43sxnxf8s438zsdjObaWYTzWyvTJVLREREpLrJZA3Z/cDRxeb9GnjT3XsDb8ZpgGOA3vHvUuAfGSyXiIiISLWSsYTM3d8FVhabfRLwn/j4P8DJKfMf8OAjoIWZdchU2URERESqk6puQ5bj7ovi48VATnzcCZifsl5enCciIiJS42Un9cLu7mbm6T7PzC4lXNYkJyeH3NzcXV20HeTn52f8NWoaxSx9iln6FLP0KWbpU8zSp5hVTlUnZEvMrIO7L4qXJJfG+QuALinrdY7zvsHd7wbuBhgxYoSPGjUqg8WF3NxcMv0aNY1ilj7FLH2KWfoUs/QpZulTzCqnqi9ZPgdcGB9fCDybMv+C2NtyP2BNyqVNERERkRotYzVkZvYIMApoY2Z5wO+BG4DHzOwSYC5wZlz9JeBYYCawAbg4U+USERERqW4ylpC5+zmlLDqshHUd+FGmyiIiIiJSnWmkfhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZgSMhEREZGEKSETERERSZi5e9JlqDQzWwbMzfDLtAGWZ/g1ahrFLH2KWfoUs/QpZulTzNKnmJWum7u3LWnBbp2QVQUzG+vuI5Iux+5EMUufYpY+xSx9iln6FLP0KWaVo0uWIiIiIglTQiYiIiKSMCVk5bs76QLshhSz9Clm6VPM0qeYpU8xS59iVglqQyYiIiKSMNWQiYiIiCRMCZmIiIhIwpSQiUi1ZGaWdBlERKpKrU7IzKxWv//KUMzSY2Z1ky7D7sbMRppZZ3d3JWXlM7ODzexAHZvpUbzSp5hlVq0NrpkdCpxrZi2TLsvuQjFLj5kdAVxpZj2SLsvuwswOA8YAryopK5+ZHQLkAjcB++oLs2J0LkufYpZ5tfLgNbMDgDeAC4EjtYOVTzFLj5ntC7wEDAdOU1JWPjNrCOwLnAg8ATyVkpTVynNVWcysHrAHcBrwIPA7YH/Fqmw6l6VPMasa2UkXoKqZWTbQEjgLcOAkoI6ZveLuq+I65hoPZDvFrFIcuABYCJwMnGlmj7n7HFC8SuLuG83sIWClu79gZk0ISdkZ7p7pe9budtx9i5k9C2xy93wzawRcDVxvZh+4e0HCRax2dC5Ln2JWdWpdQubu28zsDSDL3debWX3gGMIO9rK7r9SOtSPFLH3u/omZTYpJRjZwHHC2mT1alJRJYGZ7Aj2BD4Al7r4ZwN0vN7NbgMfNbD9CDJu7+0PJlTZ5MRZDgI+Bhe6eD+DuN8fLu1cBPzWzg4CW7n5rcqWtXnQuS59iVnVqTUIW21ocCIwHZrj7TAB3fzhW8R8FLDWzYYST2FXJlbZ6UMzSY2ZHEmLyJTDe3ccDuPubMV7HAEeYWTegFfCDxApbTZjZicAdwPvAt4GxMWmdBtuTsmuAFcBaQnxrLTM7Dvg78DLh2Cwws7+7+1gAd7/JzJYRLi8ZIYmt9XQuS59iVvVqRVuD2Lj6XqARcARwt5mNKlru7g8S2mDcDPwEeKzqS1m9KGbpMbODCYlFHtAOeMLMji9a7u6vA/8GvkW4lPmvJMpZncTanEOB77n7OcCtQAGhdqdPyqqTCZdKjnH3qVVf0mplb+Bqd/8B8H/AOOAPZjY8ZZ3VhEtMx7j75KovYvWic1n6FLNk1JYasgHAP939RjNrRmg0/Hcz+5G758Z1mhAum+zr7l8kVM7qRDFLT3fgeXf/C4CZTQIeNLPz3f3FuE5fYC9gb8ULYmP95sCRwMvu/raZrSDsa6eZ2a1AY2AgcLBiBkA9YBTwsLtPi/ECuNTMrgbygRbASMVrO53L0qeYJaBW1JABGwknddx9bWyDcj1wlZn1jOvkox0rlWKWnmWEy5AAuPvzhNqwW81saJw9DRiheO3gD0AXMzsfwN0nAp8AhwCN3X0lcJNqera7EehrZlcAuPtywrAXzYFW7r4JeNDdpyRXxGpH57L0KWYJqC0J2f3AUDO7OWXeS8AMoFOcfkM71g7uRzFLx5tALzO7q2iGu78APEqoGcPdv3D3LxMqX3W1GHgcGGVmFwC4+2uEL4QRcXpLcsWrPsysjruvBn4FHGBmVwLEZLWAcDkT9a78hvvRuSxd96OYVbkan5CZWVY8oR9DGDjxVoD4y7suYZwo1Evka4pZeuIX5RZCI9eDzeyfsX0UQEPiL00JzCyr6HGs0XkReBU40cz+bmY/AIYCOtmncPfC+P8j4DrgKDO718yuAvYj9FKVFDqXVVxsqK+YJchqQ0zNLDt23c0BngOmEy4xHQ8c7+7TEy1gwsysK2Hsp/yUeYpZGsysvrtvNrMGwJPAckJD9H2A02p7zZiZjQYOc/dr4nQWhNqceAmkG+GS7q+A9cBj7j4hqfImLfZc6wJMIByb68ysrrtvNbNBQEdCAvZDwn72irtPSq7E1U/R2Fg6l5UtNqlY7O6LU+YpZgmoUQmZmbVP3anivDruXmhh5PT2hF/jpwHNgDH6orSTgEuBq2L7HcWsDGbWnTBW1saUeUUn/kOA3sB9wEhC7D539xmJFLYaiDWFdQm9sI4A7nT3X6YsHw38DbjE3T9OppTVSxwK5DrCLaTWE+J3vbsvsnBrqb8CP0lpXC1svztGf2AOMMndV8bangKdy0oWh+q5B7jNwzh2WYTKL53/E1BjEjIzOxl4Cvi2u99fbNn+wD+AX7v7K1VfuurJzIYQvigvcff3iy07iDCMw5WKWRC/KJ8BrgD+5e7rUpbtRRjK4o/u/mwyJay+zOxUQq3OQcBqd/9evETyXWC5uz9ZlNgmWtCExRrWfwN/dfexZnYgcAswC/gFcDiwUfHaURxi5nrCYLl1gCmEJGObzv8li8nYDcBnQEN3PzdlmWKWgBqRkJlZR8Kv7LmEdjw3eBgnpWj5ecAqd39JJ7GvxbFmznP3i+Jly5OALOB5oDNhVPTnFDMws9aEHm7LCb/CXwfuK7rMG78Q1nsYuqHWx6tISu3hWYThLa4lJPoObCXsf1sUs8DCKOgvAY+7+11x3j8JsVrq7n+M8xSvyMwGAg8DF7v7Z2Z2CuGei2fFZgQ6/xdj4d6U9wPnxMT/E8KwPX+KyxWzBNSUcchWA39397fiJZB7zKxo8Drc/WHY3lhRPZC+thTYYOGegQ8QhhuoA7wHHOLu7+hg3G4t8I948hpBSM7czB509zUeelRub3uRaEmrAQvji7m7r42zngaGu/t8M3uAsL/lxsbDtb6BcIyXuftqM7uOMLxAR8I4bG0ISez3i85htT1exSwG7gQmArj702b2Q2AwMFbn/xLNJCSs4+P0H4FjzKyFu68uihno2KxKu3UvSzNrH9uNbXD3twDc/W3CLVj+YLEbvZkdbGZtdDBuj1nbODmbcNJ6AHja3X/l7lcAdwEXgQ7GIu6+lXALETzcpuZK4FTCqPuY2TFm1kHJGJjZ6YShLF4zs2+b2WDCsAytzOyPhPZRPwUa2Y7d6mullHi9YmbfJvzAvJzwg3mFu58Wz2uNCTXXwvZzWQd3X+Hud8e2YvXj4m3ECgczG2pmzXX+3yFmS1KSMQiXePcBjk6oaMJufMnSzE4DfkZo8Po0ofH0qynLRxPu+fY5YdTh4909r+pLWn0Ui9mzhPvh5RF6a+UBR8Y2F5cTBpm8OqmyVgdmdgzh9jM/jdNFDYSLOj3sDfyWcPIfChzu7rOTK3HyzKwTYb+6kDBY6cnAJkL7zp7An4Bfuvszcd0sd5+XUHETV0q8NhIuWY5PWe9bhLaLoz0MP1CrVeD8fy/w/wjH5XeBC919adWXtPooFrOnCDF7LWX56YTbIH2rNh+TSdotE7LYnucNQk3YVkLvrb7A2+7+v5T17gDOAg71Wt4lvJSYDSLUjk0h9KR5DahPaDj8La/Fo32b2UjgCWAhMNXdz4/zi5KyorZRtwLnE/axWj+avJn1Ah4CDoxx6gOcSait+BSY6eGWP7oUTpnxagQ84O5TY5uoXwPf9dgTujaryPk/HpfDCLf3ubi2H5tlxCzX3R+N67QlXB25I9bIShXbXS9ZZhHa9MyJB9qjwPuE0b4PBTCz/oRf5IfX9mQsKilmuYTb++QAxxLajk0Dzq7NyVjUmNAA/QCgvpn9F7aPm5UVk7FOhFGrj6ztJ/wi7j6LUCt9pZk18DBe0ROEfaylkrEdlRKvxwk3B98nrvYOYSy7Wp+MRWWd/w+P67QiDGB6jo5NoPSYHVL0nenuywhXS2p1LX+SdssaMgAzu43wpXmZu6+PDWAvALa4+61m1gio7+6rEi1oNVJGzArc/aZkS1f9mFkzd19rZq0IvxwL3P2cuKyVh3GOGrv7+mRLWj2k1BoeRejtPBl4xN03xh69VwInuvuGRAtaTVQwXqd4yvAqEpRxLtvq7rdY6DXexHVrn+3K+85MtnQCu2ENmcXbOxDah60l/LJs7O4LCbdfOcnMWseG/krGqFDMjjezlokVsJry2EMwttn5IZBtZneZ2UXAL82snpKx7YO/pnqbMLbRAEJvwbqEGp8NQGEVF6/aSTNeW6u4eNVaBc5lJ5pZW3efp2QsqOB3ps7/1cBuk5AVncQ83s+NMFDiU4R7Bd5lZm2APoQG1jqJkXbM1APpm1+U27n7cnc/AxgN/IVQk1Grb3ptZq3jid0h9MiNSeoWwjhtbwKt4/8rgWs93LuyVlK8dl4Fz2WbEypetaTz/+6j2l+yjJeLNqVe5ig6iZlZZ0JbgQsJvy5bAT8o1p231lHM0lNKvIru5dYByPdwL8GTgVuBE2p7GzsLI+9/H6hHGJRzosdbH8V2POcQbse1NO5z+e6+OqnyJk3x2jmWMoZYSscancvKoJjtfqp1QmbhPovfIdR4PQ186WEMKCzc0+37wOXuPs/CwIrbavslJMUsPeXEazShG/jl7j7HzI4FZrn7tMQKXA3EtidvE5KINsAIoCuhMfqHcdlN7v5EYoWsRhSvyrFwa5/h7n59nK5TVNsTj80fonPZDhSz3Vu1Tchi9+8nCcNWtAFOIAyKeCfwEaFH4E3u/mRihaxmFLP0KF6VExtM3+PuR8TpnoRG6YMJPSqnu3ueelMGilf6zOxgQmxWAi94GLAaCze/bk4Yu+3P7v5UcqWsXhSz3V91bkPWBshz9y/c/V1gDKF69UygF3CSxxvsJlnIakYxS0+F46WYfc3DoJFrLY6y72Ew3NeAJUCXmFzUUXIRKF6V0gm4mjDszDAzuwXCsDOxk83J7v5USoN1Ucx2e9X5g5lMOIldE6eHAdMJo353d/cloFv7FKOYpafC8artMTOzA8zsVDM7P876LdDUzK6A7eNpjQXOsTCeVq3uTal47Rx3fwR4xt1XAJcAe5rZX1NW2RjXU9wixWz3V60SMjPrHK9rQ+jy/W9ghJk9Bwxz958Q7id4jmosAsUsPYpX+mLbubsJd3b4jZld52FIgaeBXhbGN4IwKvpWwiCUtZbiVTkpSey5EAYqjZdxvwIuBQaZ2e8s3OLnexaGB6nVFLMaxt2rxR/hHm5TgV8AbVPm1wHaE+55B2Enuy3p8laHP8VM8aqCmPUm1OQcGKe7A88DzQjd5wcC/wNeAiYRktrEy6147V5/hDuFTAF+F//fWMI69YAFwCpgcNJlTvpPMat5f9WihszCPbR+Quhx1BI4O87D3QvdfbGHLrs/A35EqNWo1RSz9CheO+VGdx8TGwevA9oCXd19o7tPcfezCPfIO9DdP0u0pNWD4pUGM+sN/BH4nrv/ETgO6GtmbYvVUp9IqFE80Gv57fAUs5qpWiRkwBrCXei/T7iv2x6EL8x2sMOAnVnAedqxAMUsXYpXGsysa7y88ZW7PxZnF3ponzITWB/XGw4QE9o1yZQ2eYrXTiuexLYD2rm7pxybTYBjvJaPAZhCMathEk3I4kmsHpDt7pPcfbOHIQbeJVT9nxVXHQbg7rd4Lb9RrGKWHsUrfWZ2HOGS2p3AQ2bWLy7Kjv9bAY1jg/VHi2oaayvFq3LKSWJnEdp4AuwJ4O73u/uXCRS12lDMarbEErKUk9gdwH0pJzHiF+Y7QFszewZ4x8w6JVLQakQxS4/ilR4LugA3AD8GrgE+Ad42s4HuXnRLssXAtYTaxpPdfVkS5U2a4lV5aSaxj5tZu9reyUYxqwWqutEaYEAXQoPWUUAOcAWwCBhYbN2HgK+o5Y0RFTPFqwpjl0XoIdiJrweOvozQMLhvnL6FcBmuX9LlTfpP8Uo7XiUdm5cXPzaBewmDnI4pfszWtj/FrPb8VXkNmYc9ZyGhcfUMYKm730z4lfmahdHTsXAPwb0IvyhrdXsexSw9ilf6zGwPM9sbaEEY1fu8GEfc/TbgNsIQDlnAG8CR7j41qfImTfGqnFKOzVv4+tjsG1ddBQwFvuO1vP2TYlZ7VOmtk8xsD0IPt9mEatdx7n5jyvJfEW54+gN332hmTdw9v8oKWA0pZulRvNJnZscD1xFO6JMIo8jfDvzTv74nXnfganf/blLlrC4Ur8qp4LE5kNAD9Uhgmoe7GtRailntkl3+KrtGCSexh4HbLdyF/vq42mPAVYSR0tEXpWKWDsUrfWY2ErgJONfdPzOzu4F9gJHAR7GG51HgQMLtWFp5uA1LraR4VU4ax+bV7l5AuO9iraaY1T5Vcsky5SR2obsfQhisrugk9gMzuyb+EhgFDCdcBqjVFLP0KF475c/+9XhYVxMGK11IiFVPwkC6PwEuVnIBKF5pSfPYHGZmrRIrbDWhmNVOVXLJMu5cfdz9/jjdFrjf3Y8zs56E3kmbgH2Bi2p7ex5QzNKleFVOrNFp7O5r4+MOhJHlj3X3RWbWjdBAvbFr3CzFqxJ0bKZPMaudqioh00ksTYpZehSvnWdm2UAD4Fl3Pyx2nz8I+Jm7b0y2dNWP4lUxOjbTp5jVTlVyydLdC9x9bZw0YDWwMu5Y5wO/Aepqx/qaYpYexWvnufu22KZuvpldD/wcuEPJRckUr4rRsZk+xax2qtJelju8sNn9hHFUjkRVrhWimKVH8UpPHESyLvBl/H+Yu89ItlTVl+JVeTo206eY1XxVnpDpJJY+xSw9itfOMbOLgE9dYxlViOJVcTo206eY1R5J1pBdhE5iaVHM0qN4VY6ZmSd1YtgNKV7p07GZPsWs5ksyIdNJLE2KWXoUL5HqScdm+hSzmi+xhExEREREgiq/l6WIiIiI7EgJmYiIiEjClJCJiIiIJEwJmYjUSGbmZvZQynS2mS0zsxcqub0WZvbDlOlRld2WiEhxSshEpKZaDwwys4Zx+gjC7WYqqwXww/JWEhGpDCVkIlKTvQQcFx+fAzxStMDMWpnZM2Y20cw+MrMhcf61ZnavmeWa2Wwz+2l8yg1ALzP73MxuivOamNkTZjbVzB6Og3iKiKRNCZmI1GSPAmebWQNgCPBxyrI/AJ+5+xDCvQEfSFnWDzgK2Af4vZnVBX4NzHL3oe7+y7jeMOBnwACgJ3BABt+LiNRgSshEpMZy94lAd0Lt2EvFFh8IPBjXewtobWbN4rIX3X2zuy8HlgI5pbzEJ+6e5+6FwOfxtURE0paddAFERDLsOeBmYBTQuoLP2ZzyuIDSz5UVXU9EpEyqIRORmu5e4A/uPqnY/PeA8yD0mASWu/vaMrazDmiaiQKKiOjXnIjUaO6eB9xewqJrgXvNbCKwAbiwnO2sMLP3zWwy8DLw4q4uq4jUXrqXpYiIiEjCdMlSREREJGFKyEREREQSpoRMREREJGFKyEREREQSpoRMREREJGFKyEREREQSpoRMREREJGFKyEREREQS9v8BcyTSnxmtfAIAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.groupby(['date'])['value'].sum().plot(kind='line', figsize=(10, 5))\n",
    "plt.ylim(0.5, 600)\n",
    "plt.xticks(rotation = 45, ha=\"right\")\n",
    "plt.title(\"Sum of STAR-PU values of each month between 2019-01-01 to 2021-09-01\")\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('STAR-PU')\n",
    "plt.grid()\n",
    "#plt.xticks(values)\n",
    "plt.savefig(r'output/hospitalisation_risk/STARPU_sum_linechart.png', edgecolor='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "7a2d6c6560a78692f44e6c684bf0cb5541339d681bcf02c80a9e36dbc5e3249d"
  },
  "kernelspec": {
   "display_name": "Python 3.9.6 64-bit",
   "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": "3.9.6"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}