Heath EDA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d5400597-3667-4173-91ee-1924a370d280",
   "metadata": {},
   "source": [
    "# EDA : Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7264a1ed-b4c5-4672-aa64-5886c6e637e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import kafka\n",
    "import json\n",
    "import csv\n",
    "import numpy as np\n",
    "from time import *\n",
    "from kafka import KafkaProducer\n",
    "from kafka import KafkaConsumer\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4b4bd16-06e1-493f-8544-2dc0e2b0f002",
   "metadata": {},
   "source": [
    "Nous avons un dataset où des capteurs IOT sont relier à des patients d'un hopital dans le cadre de détection des maladies cardiaques. \n",
    "Nous avons la valuer 'Target' du Dataset qui à une valeur 1 si un maladie à été détecté ou 0 si non. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "2e183192-78bd-4037-beb1-fd4940deb2cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.read_csv('heart.csv')\n",
    "df.hist()\n",
    "plt.rcParams[\"figure.figsize\"] = (20,12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "703db2ea-35cd-4c95-bfb0-547ff7a7eeb6",
   "metadata": {},
   "source": [
    "# Les données du dataset sont organisés comme suit :\n",
    "#### age : l'age du patient\n",
    "#### sex : 0 pour femme - 1 pour homme\n",
    "#### cp : Chest Pain Type 4 values : 1-typical angina; 2-atypical angina - 3-non-anginal pain; 4-asymptomatic\n",
    "#### TrestBPs : Blood pressur at rest at admission\n",
    "#### Chol: Cholesterol mg/dl\n",
    "#### FBS : (fasting blood sugar >  120 mg/dl) (1 = true; 0 = false)\n",
    "#### resteCG : resting electrocardiographic results 0-normal, 1-having ST-T, 2-hypertrophy\n",
    "#### thalach: maximum heart rate achieved\n",
    "#### exang : exercise induced angina (1 = yes; 0 = no)\n",
    "#### oldpeak: ST depression induced by exercise relative to rest\n",
    "#### slop : the slope of the peak exercise ST segment\n",
    "#### ca 0-3: vessels number of major vessels colored by flourosopy\n",
    "#### thal : 1 = normal; 2 = fixed defect; 3 = reversable defect\n",
    "#### target:  0 Diagnotiqué Non Malade 1 Diagnostiqué Malade\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e7a54e7-d0c2-4b8a-9baf-21d52b6d51ca",
   "metadata": {},
   "source": [
    "# Vérifions la corrélation des variables. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "cabc1fa1-8572-4e68-8997-8573af592760",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corrMatrix = df.corr()\n",
    "sns.heatmap(corrMatrix, annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78770059-11e8-4dfc-89f1-1206eff65c33",
   "metadata": {},
   "source": [
    "Nous remarquons que les variables ne sont pas très fortement corrélés ce qui nous permet de déduire que toutes les features sont importantes pour diagnostiqué la maladie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "4da1d86c-35d5-400a-8b32-02ded4ef8c72",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Statistiques descriptifs des patients diagnostiqués malade\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>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slope</th>\n",
       "      <th>ca</th>\n",
       "      <th>thal</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>526.000000</td>\n",
       "      <td>526.000000</td>\n",
       "      <td>526.000000</td>\n",
       "      <td>526.000000</td>\n",
       "      <td>526.000000</td>\n",
       "      <td>526.000000</td>\n",
       "      <td>526.000000</td>\n",
       "      <td>526.000000</td>\n",
       "      <td>526.000000</td>\n",
       "      <td>526.000000</td>\n",
       "      <td>526.000000</td>\n",
       "      <td>526.000000</td>\n",
       "      <td>526.000000</td>\n",
       "      <td>526.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>52.408745</td>\n",
       "      <td>0.570342</td>\n",
       "      <td>1.378327</td>\n",
       "      <td>129.245247</td>\n",
       "      <td>240.979087</td>\n",
       "      <td>0.134981</td>\n",
       "      <td>0.598859</td>\n",
       "      <td>158.585551</td>\n",
       "      <td>0.134981</td>\n",
       "      <td>0.569962</td>\n",
       "      <td>1.593156</td>\n",
       "      <td>0.370722</td>\n",
       "      <td>2.119772</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.631804</td>\n",
       "      <td>0.495498</td>\n",
       "      <td>0.945881</td>\n",
       "      <td>16.112188</td>\n",
       "      <td>53.010345</td>\n",
       "      <td>0.342029</td>\n",
       "      <td>0.502109</td>\n",
       "      <td>19.096928</td>\n",
       "      <td>0.342029</td>\n",
       "      <td>0.771079</td>\n",
       "      <td>0.590295</td>\n",
       "      <td>0.871462</td>\n",
       "      <td>0.468949</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>44.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>208.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>149.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>52.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>234.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>161.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>59.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>140.000000</td>\n",
       "      <td>265.750000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>172.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>76.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>180.000000</td>\n",
       "      <td>564.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>202.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.200000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              age         sex          cp    trestbps        chol         fbs  \\\n",
       "count  526.000000  526.000000  526.000000  526.000000  526.000000  526.000000   \n",
       "mean    52.408745    0.570342    1.378327  129.245247  240.979087    0.134981   \n",
       "std      9.631804    0.495498    0.945881   16.112188   53.010345    0.342029   \n",
       "min     29.000000    0.000000    0.000000   94.000000  126.000000    0.000000   \n",
       "25%     44.000000    0.000000    1.000000  120.000000  208.000000    0.000000   \n",
       "50%     52.000000    1.000000    2.000000  130.000000  234.000000    0.000000   \n",
       "75%     59.000000    1.000000    2.000000  140.000000  265.750000    0.000000   \n",
       "max     76.000000    1.000000    3.000000  180.000000  564.000000    1.000000   \n",
       "\n",
       "          restecg     thalach       exang     oldpeak       slope          ca  \\\n",
       "count  526.000000  526.000000  526.000000  526.000000  526.000000  526.000000   \n",
       "mean     0.598859  158.585551    0.134981    0.569962    1.593156    0.370722   \n",
       "std      0.502109   19.096928    0.342029    0.771079    0.590295    0.871462   \n",
       "min      0.000000   96.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "25%      0.000000  149.000000    0.000000    0.000000    1.000000    0.000000   \n",
       "50%      1.000000  161.500000    0.000000    0.200000    2.000000    0.000000   \n",
       "75%      1.000000  172.000000    0.000000    1.000000    2.000000    0.000000   \n",
       "max      2.000000  202.000000    1.000000    4.200000    2.000000    4.000000   \n",
       "\n",
       "             thal  target  \n",
       "count  526.000000   526.0  \n",
       "mean     2.119772     1.0  \n",
       "std      0.468949     0.0  \n",
       "min      0.000000     1.0  \n",
       "25%      2.000000     1.0  \n",
       "50%      2.000000     1.0  \n",
       "75%      2.000000     1.0  \n",
       "max      3.000000     1.0  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mouch_lebes = df[df['target']==1]\n",
    "print('Statistiques descriptifs des patients diagnostiqués malade')\n",
    "mouch_lebes.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "081358f1-034a-472f-9b62-cbbb2fdd1ae9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Statistiques descriptifs des patients diagnostiqués Non-malade\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slope</th>\n",
       "      <th>ca</th>\n",
       "      <th>thal</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>499.000000</td>\n",
       "      <td>499.000000</td>\n",
       "      <td>499.000000</td>\n",
       "      <td>499.000000</td>\n",
       "      <td>499.000000</td>\n",
       "      <td>499.000000</td>\n",
       "      <td>499.000000</td>\n",
       "      <td>499.000000</td>\n",
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       "      <td>499.000000</td>\n",
       "      <td>499.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>56.569138</td>\n",
       "      <td>0.827655</td>\n",
       "      <td>0.482966</td>\n",
       "      <td>134.106212</td>\n",
       "      <td>251.292585</td>\n",
       "      <td>0.164329</td>\n",
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       "      <td>1.158317</td>\n",
       "      <td>2.539078</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>7.908153</td>\n",
       "      <td>0.378059</td>\n",
       "      <td>0.908024</td>\n",
       "      <td>18.576736</td>\n",
       "      <td>49.558924</td>\n",
       "      <td>0.370945</td>\n",
       "      <td>0.544825</td>\n",
       "      <td>22.565235</td>\n",
       "      <td>0.498083</td>\n",
       "      <td>1.290956</td>\n",
       "      <td>0.568932</td>\n",
       "      <td>1.032108</td>\n",
       "      <td>0.685460</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>35.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>131.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>52.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>217.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>125.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>58.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>249.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>142.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.400000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>62.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>284.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>156.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>409.000000</td>\n",
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       "      <td>2.000000</td>\n",
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      "text/plain": [
       "              age         sex          cp    trestbps        chol         fbs  \\\n",
       "count  499.000000  499.000000  499.000000  499.000000  499.000000  499.000000   \n",
       "mean    56.569138    0.827655    0.482966  134.106212  251.292585    0.164329   \n",
       "std      7.908153    0.378059    0.908024   18.576736   49.558924    0.370945   \n",
       "min     35.000000    0.000000    0.000000  100.000000  131.000000    0.000000   \n",
       "25%     52.000000    1.000000    0.000000  120.000000  217.000000    0.000000   \n",
       "50%     58.000000    1.000000    0.000000  130.000000  249.000000    0.000000   \n",
       "75%     62.000000    1.000000    0.000000  144.000000  284.000000    0.000000   \n",
       "max     77.000000    1.000000    3.000000  200.000000  409.000000    1.000000   \n",
       "\n",
       "          restecg     thalach       exang     oldpeak       slope          ca  \\\n",
       "count  499.000000  499.000000  499.000000  499.000000  499.000000  499.000000   \n",
       "mean     0.456914  139.130261    0.549098    1.600200    1.166333    1.158317   \n",
       "std      0.544825   22.565235    0.498083    1.290956    0.568932    1.032108   \n",
       "min      0.000000   71.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "25%      0.000000  125.000000    0.000000    0.600000    1.000000    0.000000   \n",
       "50%      0.000000  142.000000    1.000000    1.400000    1.000000    1.000000   \n",
       "75%      1.000000  156.000000    1.000000    2.500000    2.000000    2.000000   \n",
       "max      2.000000  195.000000    1.000000    6.200000    2.000000    4.000000   \n",
       "\n",
       "             thal  target  \n",
       "count  499.000000   499.0  \n",
       "mean     2.539078     0.0  \n",
       "std      0.685460     0.0  \n",
       "min      0.000000     0.0  \n",
       "25%      2.000000     0.0  \n",
       "50%      3.000000     0.0  \n",
       "75%      3.000000     0.0  \n",
       "max      3.000000     0.0  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lebes = df[df['target']==0]\n",
    "print('Statistiques descriptifs des patients diagnostiqués Non-malade')\n",
    "lebes.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "e8759d04-3f89-469a-8693-eb7ba5bcc63f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1025, 14)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a6d95b4-0764-4826-b458-a51cd17c154f",
   "metadata": {},
   "source": [
    "Nous avons donc un classification équilibré sur 1025 entrée nous avons 526 patient diagnostiqués malade et 499 patients dignostiqués non-malade"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0d410265-28cf-4346-aba1-655304177a69",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>499.000000</td>\n",
       "      <td>499.000000</td>\n",
       "      <td>499.000000</td>\n",
       "      <td>499.000000</td>\n",
       "      <td>499.000000</td>\n",
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       "      <td>499.000000</td>\n",
       "      <td>499.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>56.569138</td>\n",
       "      <td>0.827655</td>\n",
       "      <td>0.482966</td>\n",
       "      <td>134.106212</td>\n",
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       "      <td>2.539078</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>7.908153</td>\n",
       "      <td>0.378059</td>\n",
       "      <td>0.908024</td>\n",
       "      <td>18.576736</td>\n",
       "      <td>49.558924</td>\n",
       "      <td>0.370945</td>\n",
       "      <td>0.544825</td>\n",
       "      <td>22.565235</td>\n",
       "      <td>0.498083</td>\n",
       "      <td>1.290956</td>\n",
       "      <td>0.568932</td>\n",
       "      <td>1.032108</td>\n",
       "      <td>0.685460</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>35.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>131.000000</td>\n",
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       "      <td>71.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>52.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>217.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>125.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>58.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>249.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>142.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.400000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>62.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>284.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>156.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>77.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>409.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.0</td>\n",
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       "  </tbody>\n",
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      ],
      "text/plain": [
       "              age         sex          cp    trestbps        chol         fbs  \\\n",
       "count  499.000000  499.000000  499.000000  499.000000  499.000000  499.000000   \n",
       "mean    56.569138    0.827655    0.482966  134.106212  251.292585    0.164329   \n",
       "std      7.908153    0.378059    0.908024   18.576736   49.558924    0.370945   \n",
       "min     35.000000    0.000000    0.000000  100.000000  131.000000    0.000000   \n",
       "25%     52.000000    1.000000    0.000000  120.000000  217.000000    0.000000   \n",
       "50%     58.000000    1.000000    0.000000  130.000000  249.000000    0.000000   \n",
       "75%     62.000000    1.000000    0.000000  144.000000  284.000000    0.000000   \n",
       "max     77.000000    1.000000    3.000000  200.000000  409.000000    1.000000   \n",
       "\n",
       "          restecg     thalach       exang     oldpeak       slope          ca  \\\n",
       "count  499.000000  499.000000  499.000000  499.000000  499.000000  499.000000   \n",
       "mean     0.456914  139.130261    0.549098    1.600200    1.166333    1.158317   \n",
       "std      0.544825   22.565235    0.498083    1.290956    0.568932    1.032108   \n",
       "min      0.000000   71.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "25%      0.000000  125.000000    0.000000    0.600000    1.000000    0.000000   \n",
       "50%      0.000000  142.000000    1.000000    1.400000    1.000000    1.000000   \n",
       "75%      1.000000  156.000000    1.000000    2.500000    2.000000    2.000000   \n",
       "max      2.000000  195.000000    1.000000    6.200000    2.000000    4.000000   \n",
       "\n",
       "             thal  target  \n",
       "count  499.000000   499.0  \n",
       "mean     2.539078     0.0  \n",
       "std      0.685460     0.0  \n",
       "min      0.000000     0.0  \n",
       "25%      2.000000     0.0  \n",
       "50%      3.000000     0.0  \n",
       "75%      3.000000     0.0  \n",
       "max      3.000000     0.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lebes.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f4dbf4e-56da-4150-8974-72bd83437534",
   "metadata": {},
   "source": [
    "Regardons maintenant la corrélation des chaques features par rapport à la détection de la malade pour décider d'un filtre pour notre message broker.\n",
    "Ne remettant pas en cause le diagnostique de maladie positive des médecins, nous allons décider grâce aux features qui sont le plus probable de correspondre \n",
    "à une personne malade et appliquer un filtre de surveillance sur les non malades qui possèdent des symptomes similaires au diagnostiqués malades."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cac57a27-2317-4b92-b9cf-5021fee2ea77",
   "metadata": {},
   "source": [
    "### Correlations des features avec la maladie en valeur absolue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "26966a7a-07b4-421d-936a-40166a03c026",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Correlations des features avec la maladie en valeur absolue\n",
      " \n",
      "oldpeak     0.438441\n",
      "exang       0.438029\n",
      "cp          0.434854\n",
      "thalach     0.422895\n",
      "ca          0.382085\n",
      "slope       0.345512\n",
      "thal        0.337838\n",
      "sex         0.279501\n",
      "age         0.229324\n",
      "trestbps    0.138772\n",
      "restecg     0.134468\n",
      "chol        0.099966\n",
      "fbs         0.041164\n",
      "Name: target, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(df.corr()['target'][:-1].apply(np.abs).sort_values(ascending = False))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eda8fe2b-c896-49fe-8b8b-e463cab3e157",
   "metadata": {},
   "source": [
    "### Correlations des features les plus corrélés avec le diagnostique"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "1d863e4e-9918-4797-8c4b-7cf5c278a719",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "oldpeak   -0.438441\n",
       "exang     -0.438029\n",
       "ca        -0.382085\n",
       "slope      0.345512\n",
       "thalach    0.422895\n",
       "cp         0.434854\n",
       "Name: target, dtype: float64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()['target'].loc[['oldpeak', 'exang','cp','thalach','ca','slope']].sort_values()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8826964c-34ff-4890-bacf-5978ab278ed2",
   "metadata": {},
   "source": [
    "La corrélation négative veut dire plus la valeur est basse, plus le patient à de chance d'être malade.\n",
    "\n",
    "La corrélation positive veut dire plus la valeur est haute, plus le patient à de chance d'être malade.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "d25bc193-eb90-4a74-acfc-45e5ff36dc91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mylist = ['oldpeak','exang','ca','slope','thalach','cp']\n",
    "fig,ax = plt.subplots(6,2)\n",
    "ax1 = ax[:,0]\n",
    "ax2 = ax[:,1]\n",
    "lebes[mylist].hist(ax=ax1)\n",
    "mouch_lebes[mylist].hist(ax = ax2)\n",
    "plt.rcParams[\"figure.figsize\"] = (20,12)\n",
    "plt.suptitle('Histogrammes Non Malade VS Malade (Top 6 features)', fontsize = 30)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0cf85062-7ecd-4fa4-85c6-bf8259c5c312",
   "metadata": {},
   "source": [
    "## Suite à ces figures voici les filtres que l'on va appliquer au donnés des Non Malade pour le catégorisé sous surveillance. \n",
    "### oldspeak, exang et ca = 0 : les malades on tendance d'avoir un valeur 0 pour ces features \n",
    "### slope = 2 : Les malades ont majoritaire une valeur 2 ce qui peut être inquiétant pour un non malade\n",
    "### thalach >= 160 , les non-malades avec un maximum heart rate supérieur à 160 sont rares chez les non-malades. A surveiller.\n",
    "### la distribution CP est trop uniforme pour pouvoir décider d'une valeur\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "253b4950-a74c-4f78-bbac-0d8b09d5a000",
   "metadata": {},
   "outputs": [],
   "source": [
    "Surveillance = df[(df.oldpeak ==0)&(df.exang ==0)&(df.ca==0)&(df.slope ==2) & (df.thalach>=160)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "18d1ddb6-fbec-46ec-abb3-eb842e57480c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(119, 14)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Surveillance.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2786f9c2-30d9-4ece-acda-826eedbdea72",
   "metadata": {},
   "source": [
    "### On voit donc que sur 1000 entrée on a 119 patients non malades à surveiller.\n",
    "### On aura donc 3 topics : \n",
    "### - Un pour les diagnostiqués malade qui devront être surveillé par les urgences.\n",
    "### - Un pour les non malades à surveillé qui auront besoins de test supplémentaire. \n",
    "### - Un pour les non malades qui peuvent rentrés chez eux."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aeb96b31-a6ff-4730-b0bf-aa56294924ce",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}