DSA_SoSe_24/Exploration.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "37d611da-6f56-46d8-905a-62026750150c",
   "metadata": {
    "tags": []
   },
   "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>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>goal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>63</td>\n",
       "      <td>male</td>\n",
       "      <td>1</td>\n",
       "      <td>145</td>\n",
       "      <td>233</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>150</td>\n",
       "      <td>0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>67</td>\n",
       "      <td>male</td>\n",
       "      <td>4</td>\n",
       "      <td>160</td>\n",
       "      <td>286</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>108</td>\n",
       "      <td>1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>67</td>\n",
       "      <td>male</td>\n",
       "      <td>4</td>\n",
       "      <td>120</td>\n",
       "      <td>229</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>129</td>\n",
       "      <td>1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>37</td>\n",
       "      <td>male</td>\n",
       "      <td>3</td>\n",
       "      <td>130</td>\n",
       "      <td>250</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>187</td>\n",
       "      <td>0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>41</td>\n",
       "      <td>female</td>\n",
       "      <td>2</td>\n",
       "      <td>130</td>\n",
       "      <td>204</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>172</td>\n",
       "      <td>0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age     sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  \\\n",
       "0   63    male   1       145   233    1        2      150      0      2.3   \n",
       "1   67    male   4       160   286    0        2      108      1      1.5   \n",
       "2   67    male   4       120   229    0        2      129      1      2.6   \n",
       "3   37    male   3       130   250    0        0      187      0      3.5   \n",
       "4   41  female   2       130   204    0        2      172      0      1.4   \n",
       "\n",
       "   slope   ca  thal  goal  \n",
       "0      3  0.0   6.0     1  \n",
       "1      2  3.0   3.0     0  \n",
       "2      2  2.0   7.0     0  \n",
       "3      3  0.0   3.0     1  \n",
       "4      1  0.0   3.0     1  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "df = pd.read_csv('./data/dataset_cleaned.csv')\n",
    "df['sex'].replace({0: 'female', 1: 'male'}, inplace=True)\n",
    "\n",
    "# extract all columns except 'goal' --> X\n",
    "X = df.loc[:, df.columns != 'goal']\n",
    "# extract only the column 'goal' --> y\n",
    "y = df.loc[:, 'goal']\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6b3e5424-4a7e-4e53-82b9-d78e38939834",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "201\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "counts_male = sum(X['sex'] == 'male')\n",
    "counts_female = sum(X['sex'] == 'female')\n",
    "\n",
    "counts_male_sick = sum(np.all([X['sex'] == 'male',\n",
    "                              y > 0], axis=0))\n",
    "counts_female_sick = sum(np.all([X['sex'] == 'female',\n",
    "                              y > 0], axis=0))\n",
    "\n",
    "plt.bar([1, 0], [counts_male, counts_female])\n",
    "plt.bar([1, 0], [counts_male_sick, counts_female_sick])\n",
    "plt.xticks([1, 0],['male', 'female'])\n",
    "plt.ylabel('n')\n",
    "plt.title('Age distribution')\n",
    "plt.legend(['healthy', 'sick'])\n",
    "plt.show()\n",
    "print(counts_male)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "48fd2655-1dcc-41f6-9938-ef6ea937d52e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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A1QgzAADAaoQZAABgNcIMAACwGmEGAABYjTADAACsRpgBAABWI8wAAACrEWYAAIDVCDMAAMBqhBkAAGA1wgwAALAaYQYAAFiNMAMAAKxGmAEAAFYjzAAAAKsRZgAAgNUIMwAAwGqEGQAAYDXCDAAAsBphBgAAWI0wAwAArEaYAQAAViPMAAAAqxFmAACA1QgzAADAao6GmaSkJLlcLr/N6/X6+o0xSkpKUkREhIKCghQbG6vc3FwHKwYAAIHG8ZWZDh066MCBA74tJyfH1zdr1izNnj1bc+fOVVZWlrxerwYOHKiysjIHKwYAAIHE8TBTr149eb1e39a8eXNJv6zKzJkzR1OnTtXgwYPVsWNHpaWl6fDhw1q2bJnDVQMAgEDheJjZtWuXIiIiFBUVpeHDh2v37t2SpLy8PBUUFCguLs431u12q2/fvsrMzDzj8crLy1VaWuq3AQCAusvRMNOzZ08tXbpU69ev14IFC1RQUKCYmBgdPHhQBQUFkiSPx+P3GY/H4+urTEpKisLCwnxbZGRkrX4HAADgLEfDzKBBgzRkyBB16tRJAwYM0Jo1ayRJaWlpvjEul8vvM8aYCm2nS0xMVElJiW/Lz8+vneIBAEBAcPwy0+kaNWqkTp06adeuXb6nmn69ClNYWFhhteZ0brdboaGhfhsAAKi7AirMlJeX6+uvv1Z4eLiioqLk9XqVnp7u6z927JgyMjIUExPjYJUAACCQ1HPy5I8//rhuu+02tWzZUoWFhXruuedUWlqqUaNGyeVyKSEhQcnJyYqOjlZ0dLSSk5MVHBysESNGOFk2AAAIII6Gme+++0733HOPfvjhBzVv3lzXX3+9PvvsM7Vq1UqSNHnyZB05ckTjx49XUVGRevbsqQ0bNigkJMTJsgEAQABxGWOM00XUptLSUoWFhamkpIT7Z4A6qPUTa5wu4aKwZ0a80yXgIlOV398Bdc8MAABAVRFmAACA1QgzAADAaoQZAABgNcIMAACwGmEGAABYjTADAACsRpgBAABWI8wAAACrEWYAAIDVCDMAAMBqhBkAAGA1wgwAALAaYQYAAFiNMAMAAKxGmAEAAFYjzAAAAKsRZgAAgNUIMwAAwGqEGQAAYDXCDAAAsBphBgAAWI0wAwAArEaYAQAAViPMAAAAqxFmAACA1QgzAADAaoQZAABgNcIMAACwGmEGAABYjTADAACsRpgBAABWq+d0AQCAwNf6iTVOl1Ble2bEO10CLhBWZgAAgNUIMwAAwGqEGQAAYDXCDAAAsBphBgAAWI0wAwAArEaYAQAAViPMAAAAqxFmAACA1QgzAADAaoQZAABgNcIMAACwWsCEmZSUFLlcLiUkJPjajDFKSkpSRESEgoKCFBsbq9zcXOeKBAAAAScgwkxWVpbmz5+vzp07+7XPmjVLs2fP1ty5c5WVlSWv16uBAweqrKzMoUoBAECgcTzM/PTTTxo5cqQWLFigJk2a+NqNMZozZ46mTp2qwYMHq2PHjkpLS9Phw4e1bNkyBysGAACBxPEwM2HCBMXHx2vAgAF+7Xl5eSooKFBcXJyvze12q2/fvsrMzDzj8crLy1VaWuq3AQCAuquekydfvny5Pv/8c2VlZVXoKygokCR5PB6/do/Ho717957xmCkpKZo+fXrNFgoAAAKWYysz+fn5mjhxot544w01bNjwjONcLpffvjGmQtvpEhMTVVJS4tvy8/NrrGYAABB4HFuZ2b59uwoLC3Xdddf52k6cOKGPPvpIc+fO1c6dOyX9skITHh7uG1NYWFhhteZ0brdbbre79goHAAABxbGVmf79+ysnJ0fZ2dm+rXv37ho5cqSys7N11VVXyev1Kj093feZY8eOKSMjQzExMU6VDQAAAoxjKzMhISHq2LGjX1ujRo3UrFkzX3tCQoKSk5MVHR2t6OhoJScnKzg4WCNGjHCiZAAAEIAcvQH4XCZPnqwjR45o/PjxKioqUs+ePbVhwwaFhIQ4XRoAAAgQLmOMcbqI2lRaWqqwsDCVlJQoNDTU6XIA1LDWT6xxugQEqD0z4p0uAb9BVX5/O/6eGQAAgN+CMAMAAKxGmAEAAFYjzAAAAKsF9NNMgM1svDGVGyYB2IiVGQAAYDXCDAAAsBphBgAAWI0wAwAArEaYAQAAViPMAAAAq1UrzOTn5+u7777z7W/dulUJCQmaP39+jRUGAABwPqoVZkaMGKFNmzZJkgoKCjRw4EBt3bpVTz75pJ599tkaLRAAAOBsqhVmvvzyS/3ud7+TJL3zzjvq2LGjMjMztWzZMi1ZsqQm6wMAADiraoWZn3/+WW63W5L04Ycf6vbbb5cktW/fXgcOHKi56gAAAM6hWmGmQ4cOmjdvnj7++GOlp6fr5ptvliTt379fzZo1q9ECAQAAzqZaYWbmzJl67bXXFBsbq3vuuUddunSRJK1evdp3+QkAAOBCqNYfmoyNjdUPP/yg0tJSNWnSxNf+pz/9SY0aNaqx4gAAAM6lWisz/fr1U1lZmV+QkaSmTZtq2LBhNVIYAADA+ahWmNm8ebOOHTtWof3o0aP6+OOPf3NRAAAA56tKl5l27Njh+/dXX32lgoIC3/6JEye0bt06XXHFFTVXHQAAwDlUKcx07dpVLpdLLpdL/fr1q9AfFBSkV155pcaKA3BhtX5ijdMlAECVVSnM5OXlyRijq666Slu3blXz5s19fQ0aNFCLFi106aWX1niRAAAAZ1KlMNOqVStJ0smTJ2ulGAAAgKqq1qPZkvTNN99o8+bNKiwsrBBunnnmmd9cGAAAwPmoVphZsGCBHnroIV1++eXyer1yuVy+PpfLRZgBAAAXTLXCzHPPPafnn39eU6ZMqel6AAAAqqRa75kpKirS0KFDa7oWAACAKqtWmBk6dKg2bNhQ07UAAABUWbUuM7Vt21ZPP/20PvvsM3Xq1En169f363/kkUdqpDgAAIBzcRljTFU/FBUVdeYDulzavXv3byqqJpWWliosLEwlJSUKDQ11uhxcRHgBHeCsPTPinS4Bv0FVfn9Xa2UmLy+vWoUBAADUtGrdMwMAABAoqrUyM2bMmLP2L1q0qFrFAAAAVFW1wkxRUZHf/s8//6wvv/xSxcXFlf4BSgAAgNpSrTCzatWqCm0nT57U+PHjddVVV/3mogAAAM5Xjd0zc8kll+jRRx/Viy++WFOHBAAAOKcavQH4//2//6fjx4/X5CEBAADOqlqXmSZNmuS3b4zRgQMHtGbNGo0aNapGCgNOxztbAABnUq0w849//MNv/5JLLlHz5s31wgsvnPNJJwAAgJpUrTCzadOmmq4DAACgWqoVZk75/vvvtXPnTrlcLv3Hf/yHmjdvXlN1AQAAnJdq3QB86NAhjRkzRuHh4brhhhvUp08fRURE6P7779fhw4drukYAAIAzqlaYmTRpkjIyMvT3v/9dxcXFKi4u1vvvv6+MjAw99thjNV0jAADAGVXrMtPf/vY3rVixQrGxsb62W265RUFBQbr77ruVmppaU/UBAACcVbVWZg4fPiyPx1OhvUWLFlW6zJSamqrOnTsrNDRUoaGh6tWrl9auXevrN8YoKSlJERERCgoKUmxsrHJzc6tTMgAAqKOqFWZ69eqladOm6ejRo762I0eOaPr06erVq9d5H+fKK6/UjBkztG3bNm3btk39+vXTHXfc4Qsss2bN0uzZszV37lxlZWXJ6/Vq4MCBKisrq07ZAACgDnIZY0xVP5STk6NBgwbp6NGj6tKli1wul7Kzs+V2u7VhwwZ16NCh2gU1bdpUf/nLXzRmzBhFREQoISFBU6ZMkSSVl5fL4/Fo5syZGjdu3Hkdr7S0VGFhYSopKVFoaGi164KzeGkegKraMyPe6RLwG1Tl93e17pnp1KmTdu3apTfeeEP//Oc/ZYzR8OHDNXLkSAUFBVWr6BMnTujdd9/VoUOH1KtXL+Xl5amgoEBxcXG+MW63W3379lVmZuYZw0x5ebnKy8t9+6WlpdWqBwAA2KFaYSYlJUUej0cPPPCAX/uiRYv0/fff+1ZSzkdOTo569eqlo0ePqnHjxlq1apWuueYaZWZmSlKFe3M8Ho/27t171tqmT59ehW8DAABsVq17Zl577TW1b9++QnuHDh00b968Kh2rXbt2ys7O1meffaaHHnpIo0aN0ldffeXrd7lcfuONMRXaTpeYmKiSkhLflp+fX6V6AACAXaq1MlNQUKDw8PAK7c2bN9eBAweqdKwGDRqobdu2kqTu3bsrKytLL730km9159fnKiwsrPRJqlPcbrfcbneVagAAAPaq1spMZGSkPv300wrtn376qSIiIn5TQcYYlZeXKyoqSl6vV+np6b6+Y8eOKSMjQzExMb/pHAAAoO6o1srM2LFjlZCQoJ9//ln9+vWTJP3P//yPJk+eXKU3AD/55JMaNGiQIiMjVVZWpuXLl2vz5s1at26dXC6XEhISlJycrOjoaEVHRys5OVnBwcEaMWJEdcoGAAB1ULXCzOTJk/Xjjz9q/PjxOnbsmCSpYcOGmjJlihITE8/7OP/+97/1xz/+UQcOHFBYWJg6d+6sdevWaeDAgb7zHDlyROPHj1dRUZF69uypDRs2KCQkpDplAwCAOqha75k55aefftLXX3+toKAgRUdHB+S9Krxnpm7gPTMAqor3zNit1t8zc0rjxo3Vo0eP33IIAACA36RaNwADAAAECsIMAACwGmEGAABYjTADAACsRpgBAABWI8wAAACrEWYAAIDVCDMAAMBqhBkAAGA1wgwAALAaYQYAAFiNMAMAAKxGmAEAAFYjzAAAAKsRZgAAgNUIMwAAwGqEGQAAYDXCDAAAsBphBgAAWI0wAwAArEaYAQAAViPMAAAAqxFmAACA1QgzAADAaoQZAABgNcIMAACwGmEGAABYjTADAACsRpgBAABWI8wAAACrEWYAAIDVCDMAAMBqhBkAAGA1wgwAALAaYQYAAFiNMAMAAKxGmAEAAFYjzAAAAKsRZgAAgNUIMwAAwGqEGQAAYDXCDAAAsBphBgAAWI0wAwAArOZomElJSVGPHj0UEhKiFi1a6M4779TOnTv9xhhjlJSUpIiICAUFBSk2Nla5ubkOVQwAAAKNo2EmIyNDEyZM0Geffab09HQdP35ccXFxOnTokG/MrFmzNHv2bM2dO1dZWVnyer0aOHCgysrKHKwcAAAEinpOnnzdunV++4sXL1aLFi20fft23XDDDTLGaM6cOZo6daoGDx4sSUpLS5PH49GyZcs0btw4J8oGAAABJKDumSkpKZEkNW3aVJKUl5engoICxcXF+ca43W717dtXmZmZlR6jvLxcpaWlfhsAAKi7AibMGGM0adIk/f73v1fHjh0lSQUFBZIkj8fjN9bj8fj6fi0lJUVhYWG+LTIysnYLBwAAjgqYMPPwww9rx44deuuttyr0uVwuv31jTIW2UxITE1VSUuLb8vPza6VeAAAQGBy9Z+aUP//5z1q9erU++ugjXXnllb52r9cr6ZcVmvDwcF97YWFhhdWaU9xut9xud+0WDAAAAoajKzPGGD388MNauXKlNm7cqKioKL/+qKgoeb1epaen+9qOHTumjIwMxcTEXOhyAQBAAHJ0ZWbChAlatmyZ3n//fYWEhPjugwkLC1NQUJBcLpcSEhKUnJys6OhoRUdHKzk5WcHBwRoxYoSTpQMAgADhaJhJTU2VJMXGxvq1L168WKNHj5YkTZ48WUeOHNH48eNVVFSknj17asOGDQoJCbnA1QIAgEDkaJgxxpxzjMvlUlJSkpKSkmq/IAAAYJ2AeZoJAACgOggzAADAaoQZAABgNcIMAACwGmEGAABYjTADAACsRpgBAABWI8wAAACrEWYAAIDVCDMAAMBqhBkAAGA1wgwAALAaYQYAAFiNMAMAAKxGmAEAAFYjzAAAAKsRZgAAgNUIMwAAwGqEGQAAYDXCDAAAsBphBgAAWI0wAwAArEaYAQAAViPMAAAAqxFmAACA1QgzAADAaoQZAABgtXpOFwAAQG1o/cQap0uosj0z4p0uwUqszAAAAKsRZgAAgNUIMwAAwGqEGQAAYDXCDAAAsBphBgAAWI0wAwAArEaYAQAAViPMAAAAqxFmAACA1QgzAADAaoQZAABgNcIMAACwGmEGAABYjTADAACsRpgBAABWI8wAAACrORpmPvroI912222KiIiQy+XSe++959dvjFFSUpIiIiIUFBSk2NhY5ebmOlMsAAAISI6GmUOHDqlLly6aO3dupf2zZs3S7NmzNXfuXGVlZcnr9WrgwIEqKyu7wJUCAIBAVc/Jkw8aNEiDBg2qtM8Yozlz5mjq1KkaPHiwJCktLU0ej0fLli3TuHHjLmSpAAAgQAXsPTN5eXkqKChQXFycr83tdqtv377KzMw84+fKy8tVWlrqtwEAgLorYMNMQUGBJMnj8fi1ezweX19lUlJSFBYW5tsiIyNrtU4AAOCsgA0zp7hcLr99Y0yFttMlJiaqpKTEt+Xn59d2iQAAwEGO3jNzNl6vV9IvKzTh4eG+9sLCwgqrNadzu91yu921Xh8AAAgMAbsyExUVJa/Xq/T0dF/bsWPHlJGRoZiYGAcrAwAAgcTRlZmffvpJ3377rW8/Ly9P2dnZatq0qVq2bKmEhAQlJycrOjpa0dHRSk5OVnBwsEaMGOFg1QAAIJA4Gma2bdumG2+80bc/adIkSdKoUaO0ZMkSTZ48WUeOHNH48eNVVFSknj17asOGDQoJCXGq5Dqh9RNrnC4BAIAa4zLGGKeLqE2lpaUKCwtTSUmJQkNDnS4nIBBmACAw7ZkR73QJAaMqv78D9p4ZAACA80GYAQAAViPMAAAAqxFmAACA1QgzAADAaoQZAABgNcIMAACwGmEGAABYjTADAACsRpgBAABWI8wAAACrEWYAAIDVCDMAAMBqhBkAAGA1wgwAALAaYQYAAFiNMAMAAKxGmAEAAFYjzAAAAKsRZgAAgNUIMwAAwGqEGQAAYDXCDAAAsBphBgAAWI0wAwAArEaYAQAAViPMAAAAqxFmAACA1QgzAADAaoQZAABgNcIMAACwGmEGAABYrZ7TBQAAgF+0fmKN0yVU2Z4Z8U6XwMoMAACwG2EGAABYjTADAACsRpgBAABWI8wAAACrEWYAAIDVCDMAAMBqhBkAAGA1wgwAALAaYQYAAFiNP2fwG9n46mkAAOoSK1ZmXn31VUVFRalhw4a67rrr9PHHHztdEgAACBABH2befvttJSQkaOrUqfrHP/6hPn36aNCgQdq3b5/TpQEAgAAQ8GFm9uzZuv/++zV27FhdffXVmjNnjiIjI5Wamup0aQAAIAAEdJg5duyYtm/frri4OL/2uLg4ZWZmOlQVAAAIJAF9A/APP/ygEydOyOPx+LV7PB4VFBRU+pny8nKVl5f79ktKSiRJpaWltVLjyfLDtXJcAABsUFu/X08d1xhzzrEBHWZOcblcfvvGmAptp6SkpGj69OkV2iMjI2ulNgAALmZhc2r3+GVlZQoLCzvrmIAOM5dffrkuvfTSCqswhYWFFVZrTklMTNSkSZN8+ydPntSPP/6oZs2anTEA1abS0lJFRkYqPz9foaGhF/z8Fyvm3RnMuzOYd2cw77XLGKOysjJFREScc2xAh5kGDRrouuuuU3p6uv7whz/42tPT03XHHXdU+hm32y232+3Xdtlll9VmmeclNDSUH3YHMO/OYN6dwbw7g3mvPedakTkloMOMJE2aNEl//OMf1b17d/Xq1Uvz58/Xvn379OCDDzpdGgAACAABH2aGDRumgwcP6tlnn9WBAwfUsWNHffDBB2rVqpXTpQEAgAAQ8GFGksaPH6/x48c7XUa1uN1uTZs2rcKlL9Qu5t0ZzLszmHdnMO+Bw2XO55knAACAABXQL80DAAA4F8IMAACwGmEGAABYjTADAACsRpipAampqercubPvxUm9evXS2rVrff3GGCUlJSkiIkJBQUGKjY1Vbm6ugxXXTSkpKXK5XEpISPC1Mfc1LykpSS6Xy2/zer2+fua89vzrX//Svffeq2bNmik4OFhdu3bV9u3bff3Mfc1r3bp1hZ93l8ulCRMmSGLOAwVhpgZceeWVmjFjhrZt26Zt27apX79+uuOOO3w/0LNmzdLs2bM1d+5cZWVlyev1auDAgSorK3O48rojKytL8+fPV+fOnf3amfva0aFDBx04cMC35eTk+PqY89pRVFSk3r17q379+lq7dq2++uorvfDCC35vOGfua15WVpbfz3p6erokaejQoZKY84BhUCuaNGliXn/9dXPy5Enj9XrNjBkzfH1Hjx41YWFhZt68eQ5WWHeUlZWZ6Ohok56ebvr27WsmTpxojDHMfS2ZNm2a6dKlS6V9zHntmTJlivn9739/xn7m/sKYOHGiadOmjTl58iRzHkBYmalhJ06c0PLly3Xo0CH16tVLeXl5KigoUFxcnG+M2+1W3759lZmZ6WCldceECRMUHx+vAQMG+LUz97Vn165dioiIUFRUlIYPH67du3dLYs5r0+rVq9W9e3cNHTpULVq0ULdu3bRgwQJfP3Nf+44dO6Y33nhDY8aMkcvlYs4DCGGmhuTk5Khx48Zyu9168MEHtWrVKl1zzTW+v/j967/y7fF4Kvw1cFTd8uXL9fnnnyslJaVCH3NfO3r27KmlS5dq/fr1WrBggQoKChQTE6ODBw8y57Vo9+7dSk1NVXR0tNavX68HH3xQjzzyiJYuXSqJn/cL4b333lNxcbFGjx4tiTkPJFb8OQMbtGvXTtnZ2SouLtbf/vY3jRo1ShkZGb5+l8vlN94YU6ENVZOfn6+JEydqw4YNatiw4RnHMfc1a9CgQb5/d+rUSb169VKbNm2Ulpam66+/XhJzXhtOnjyp7t27Kzk5WZLUrVs35ebmKjU1Vffdd59vHHNfexYuXKhBgwYpIiLCr505dx4rMzWkQYMGatu2rbp3766UlBR16dJFL730ku8pj1+n9MLCwgppHlWzfft2FRYW6rrrrlO9evVUr149ZWRk6OWXX1a9evV888vc165GjRqpU6dO2rVrFz/vtSg8PFzXXHONX9vVV1+tffv2SRJzX8v27t2rDz/8UGPHjvW1MeeBgzBTS4wxKi8vV1RUlLxer+8OeOmX664ZGRmKiYlxsEL79e/fXzk5OcrOzvZt3bt318iRI5Wdna2rrrqKub8AysvL9fXXXys8PJyf91rUu3dv7dy506/tm2++UatWrSSJua9lixcvVosWLRQfH+9rY84DiJN3H9cViYmJ5qOPPjJ5eXlmx44d5sknnzSXXHKJ2bBhgzHGmBkzZpiwsDCzcuVKk5OTY+655x4THh5uSktLHa687jn9aSZjmPva8Nhjj5nNmzeb3bt3m88++8zceuutJiQkxOzZs8cYw5zXlq1bt5p69eqZ559/3uzatcu8+eabJjg42Lzxxhu+Mcx97Thx4oRp2bKlmTJlSoU+5jwwEGZqwJgxY0yrVq1MgwYNTPPmzU3//v19QcaYXx6ZnDZtmvF6vcbtdpsbbrjB5OTkOFhx3fXrMMPc17xhw4aZ8PBwU79+fRMREWEGDx5scnNzff3Mee35+9//bjp27Gjcbrdp3769mT9/vl8/c1871q9fbySZnTt3VuhjzgODyxhjnF4dAgAAqC7umQEAAFYjzAAAAKsRZgAAgNUIMwAAwGqEGQAAYDXCDAAAsBphBgAAWI0wAwAArEaYARCQMjMzdemll+rmm292uhQAAY43AAMISGPHjlXjxo31+uuv66uvvlLLli2dLglAgGJlBkDAOXTokN555x099NBDuvXWW7VkyRK//tWrVys6OlpBQUG68cYblZaWJpfLpeLiYt+YzMxM3XDDDQoKClJkZKQeeeQRHTp06MJ+EQAXBGEGQMB5++231a5dO7Vr10733nuvFi9erFOLyHv27NFdd92lO++8U9nZ2Ro3bpymTp3q9/mcnBzddNNNGjx4sHbs2KG3335bn3zyiR5++GEnvg6AWsZlJgABp3fv3rr77rs1ceJEHT9+XOHh4Xrrrbc0YMAAPfHEE1qzZo1ycnJ845966ik9//zzKioq0mWXXab77rtPQUFBeu2113xjPvnkE/Xt21eHDh1Sw4YNnfhaAGoJKzMAAsrOnTu1detWDR8+XJJUr149DRs2TIsWLfL19+jRw+8zv/vd7/z2t2/friVLlqhx48a+7aabbtLJkyeVl5d3Yb4IgAumntMFAMDpFi5cqOPHj+uKK67wtRljVL9+fRUVFckYI5fL5feZXy8wnzx5UuPGjdMjjzxS4fjcSAzUPYQZAAHj+PHjWrp0qV544QXFxcX59Q0ZMkRvvvmm2rdvrw8++MCvb9u2bX771157rXJzc9W2bdtarxmA87hnBkDAeO+99zRs2DAVFhYqLCzMr2/q1Kn64IMPtHLlSrVr106PPvqo7r//fmVnZ+uxxx7Td999p+LiYoWFhWnHjh26/vrr9Z//+Z964IEH1KhRI3399ddKT0/XK6+84tC3A1BbuGcGQMBYuHChBgwYUCHISL+szGRnZ6uoqEgrVqzQypUr1blzZ6WmpvqeZnK73ZKkzp07KyMjQ7t27VKfPn3UrVs3Pf300woPD7+g3wfAhcHKDADrPf/885o3b57y8/OdLgWAA7hnBoB1Xn31VfXo0UPNmjXTp59+qr/85S+8Qwa4iBFmAFhn165deu655/Tjjz+qZcuWeuyxx5SYmOh0WQAcwmUmAABgNW4ABgAAViPMAAAAqxFmAACA1QgzAADAaoQZAABgNcIMAACwGmEGAABYjTADAACsRpgBAABW+/+zSkip7UFI3AAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(X['age'])\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('counts')\n",
    "plt.title('Age distribution')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b9174a9d-6c8a-4915-9580-48f23cbdd038",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.violinplot(X, x='sex', y='age')\n",
    "ax.set_xticklabels(['male', 'female'])\n",
    "plt.title('Age distribution')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "522ff499-cd7f-4417-ae7d-d637402505b8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.hist(X['chol'])\n",
    "plt.xlabel('Cholesterin')\n",
    "plt.ylabel('counts')\n",
    "plt.title('Cholesterin distribution')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f220fadf-33ec-4bf6-a225-a2c874f02088",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(X['trestbps'])\n",
    "plt.xlabel('Blood pressure (rest)')\n",
    "plt.ylabel('counts')\n",
    "plt.title('Blood pressure distribution')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "abe0020f-8588-48bf-af58-f67b326cdd25",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.boxplot(x='sex', y='trestbps', data=df)\n",
    "plt.title('Blood pressure/sex')\n",
    "plt.xlabel('sex')\n",
    "plt.ylabel('Blood pressure (rest)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5c174a9d-59b7-4efe-a0eb-a132388c1d2a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "model = LinearRegression()\n",
    "x = np.array(X['age'])\n",
    "x = x[:, np.newaxis]\n",
    "reg = model.fit(x, X['chol'])\n",
    "pred = reg.predict(x)\n",
    "\n",
    "sns.scatterplot(X, x='age', y='chol', hue='sex')\n",
    "plt.plot(x, pred, color='black')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Chol')\n",
    "plt.title('Chol / Age split by sex')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b3d627cf-3ec9-4cd9-bee6-5baeb9d1a22d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model = LinearRegression()\n",
    "x = np.array(X['chol'])\n",
    "x = x[:, np.newaxis]\n",
    "reg = model.fit(x, X['trestbps'])\n",
    "pred = reg.predict(x)\n",
    "\n",
    "sns.scatterplot(X, x='chol', y='trestbps', hue='sex')\n",
    "plt.plot(x, pred, color='black')\n",
    "plt.xlabel('Chol')\n",
    "plt.ylabel('Blood pressure (rest)')\n",
    "plt.title('Blood pressure / Age split by sex')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "3a6dc91a-f3e9-4d7e-9e4b-58c59d24463c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr = df.loc[:,df.columns!='sex'].corr()\n",
    "\n",
    "sns.heatmap(corr)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "038d8abb-e88f-472d-95c4-bc0c51695196",
   "metadata": {},
   "source": [
    "### Cholesterinwerte im Vergleich Frauen/Männer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "48e6d986-b7f9-45e6-8bf2-32e687eb132d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['sex'] = df['sex'].replace({0: 'female', 1: 'male'})\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.boxplot(x='sex', y='chol', data=df)\n",
    "plt.title('Cholesterinwerte nach Geschlecht')\n",
    "plt.xlabel('Geschlecht')\n",
    "plt.ylabel('Cholesterin in mg/dl')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3e85fdf6-3a77-41b0-bbc7-a407fbb1374f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Geschlecht  Untere_Grenze  Obere_Grenze\n",
      "0     Männer     234.288517    246.199046\n",
      "1     Frauen     249.044612    275.413721\n"
     ]
    }
   ],
   "source": [
    "# Konfidenzintervall (95%) für Cholesterin Level jeweils für Männer und Frauen\n",
    "from scipy import stats\n",
    "\n",
    "# Filtern nach Geschlecht und Berechnen des Konfidenzintervalls\n",
    "conf_level = 0.95\n",
    "chol_men = df.loc[df['sex'] == 'male', 'chol']\n",
    "chol_women = df.loc[df['sex'] == 'female', 'chol']\n",
    "conf_int_men = stats.t.interval(conf_level, len(chol_men) - 1, loc=chol_men.mean(), scale=stats.sem(chol_men))\n",
    "conf_int_women = stats.t.interval(conf_level, len(chol_women) - 1, loc=chol_women.mean(), scale=stats.sem(chol_women))\n",
    "\n",
    "result_table_men_vs_women = pd.DataFrame({\n",
    "    'Geschlecht': ['Männer', 'Frauen'],\n",
    "    'Untere_Grenze': [conf_int_men[0], conf_int_women[0]],\n",
    "    'Obere_Grenze': [conf_int_men[1], conf_int_women[1]]\n",
    "})\n",
    "\n",
    "print(result_table_men_vs_women)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d6ef765-3785-4263-a72f-6e3ab5822d61",
   "metadata": {},
   "source": [
    "### Cholesterin im Vergleich zur Erkrankung"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "fb8d7c02-936a-49c1-adfe-43943f7111d0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Boxplot gruppiert nach Diagnose\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.boxplot(x='goal', y='chol', data=df)\n",
    "plt.title('Cholesterin im Vergleich zur Erkrankung')\n",
    "plt.xlabel('Diagnose')\n",
    "plt.ylabel('Cholesterin in mg/dl')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f5d1a57a-8d24-4a23-a035-3e6d7fd7eb89",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "t-Statistik: -1.3834015443480652\n",
      "p-Wert: 0.9162061164262881\n",
      "Der p-Wert ist größer als oder gleich 0.05, daher wird die Nullhypothese nicht abgelehnt.\n",
      "Es gibt keine signifikanten Hinweise darauf, dass der Cholesterinwert bei kranken Personen höher ist als bei gesunden Personen.\n"
     ]
    }
   ],
   "source": [
    "# t-Test\n",
    "# Nullhypothese (HO) = Cholesterinwert bei Kranken ist gleich oder kleiner wie bei Gesunden\n",
    "# Alternativhypothese (H1) Cholesterinwert bei Kranken ist höher als bei Gesunden\n",
    "\n",
    "from scipy.stats import ttest_ind\n",
    "\n",
    "# Daten für gesunde und kranke Personen\n",
    "chol_healthy = df.loc[df['goal'] == 0, 'chol']\n",
    "chol_sick = df.loc[df['goal'] == 1, 'chol']\n",
    "\n",
    "# Durchführung des t-Tests\n",
    "t_statistic, p_value = ttest_ind(chol_sick, chol_healthy, alternative='greater')\n",
    "\n",
    "# Ausgabe der Ergebnisse\n",
    "print(\"t-Statistik:\", t_statistic)\n",
    "print(\"p-Wert:\", p_value)\n",
    "\n",
    "# Überprüfung der Nullhypothese\n",
    "if p_value < 0.05:\n",
    "    print(\"Der p-Wert ist kleiner als 0.05, daher wird die Nullhypothese abgelehnt.\")\n",
    "    print(\"Es gibt signifikante Hinweise darauf, dass der Cholesterinwert bei kranken Personen höher ist als bei gesunden Personen.\")\n",
    "else:\n",
    "    print(\"Der p-Wert ist größer als oder gleich 0.05, daher wird die Nullhypothese nicht abgelehnt.\")\n",
    "    print(\"Es gibt keine signifikanten Hinweise darauf, dass der Cholesterinwert bei kranken Personen höher ist als bei gesunden Personen.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "362223d0-efaf-426c-8bb7-81108c065ccf",
   "metadata": {},
   "source": [
    "### Systolischer Ruheblutdruck"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1574b038-0941-4473-a968-adca7f5ec26e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/nicole/anaconda3/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.boxplot(x='sex', y='trestbps', data=df)\n",
    "plt.title('Überblick über Blutdruck')\n",
    "plt.xlabel('Geschlecht')\n",
    "plt.ylabel('Systolischer Ruheblutdruck (in mmHg bei Aufnahme ins Krankenhaus)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0a359020-86f6-4d8c-9144-d2977674e51d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Diagnose  Untere_Grenze  Obere_Grenze\n",
      "0   Gesund     131.442350    137.827723\n",
      "1    Krank     126.618412    131.731588\n"
     ]
    }
   ],
   "source": [
    "# Filtern nach goal und Berechnen des Konfidenzintervalls\n",
    "conf_level = 0.95\n",
    "blutdruck_gesund = df.loc[df['goal'] == 0, 'trestbps']\n",
    "blutdruck_krank = df.loc[df['goal'] == 1, 'trestbps']\n",
    "conf_int_gesund = stats.t.interval(conf_level, len(blutdruck_gesund) - 1, loc=blutdruck_gesund.mean(), scale=stats.sem(blutdruck_gesund))\n",
    "conf_int_krank = stats.t.interval(conf_level, len(blutdruck_krank) - 1, loc=blutdruck_krank.mean(), scale=stats.sem(blutdruck_krank))\n",
    "\n",
    "# Erstellen der Tabelle\n",
    "result_table_blutdruck = pd.DataFrame({\n",
    "    'Diagnose': ['Gesund', 'Krank'],\n",
    "    'Untere_Grenze': [conf_int_gesund[0], conf_int_krank[0]],\n",
    "    'Obere_Grenze': [conf_int_gesund[1], conf_int_krank[1]]\n",
    "})\n",
    "\n",
    "# Anzeige der Tabelle\n",
    "print(result_table_blutdruck)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "003e4148-8318-41f4-8e38-af74c5ad54fa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "t-Statistik: -2.6678917570482685\n",
      "p-Wert: 0.9959726018205624\n",
      "Der p-Wert ist größer als oder gleich 0.05, daher wird die Nullhypothese nicht abgelehnt.\n",
      "Es gibt keine signifikanten Hinweise darauf, dass der Blutdruck bei kranken Personen höher ist als bei gesunden Personen.\n"
     ]
    }
   ],
   "source": [
    "# t-Test\n",
    "# H0 Kranke haben einen niedrigeren oder gleichen Blutdruck wie Gesunde\n",
    "# H1 Kranke haben einen höheren BLutdruck als Gesunde\n",
    "\n",
    "# Daten für gesunde und kranke Personen\n",
    "blutdruck_healthy = df.loc[df['goal'] == 0, 'trestbps']\n",
    "blutdruck_sick = df.loc[df['goal'] == 1, 'trestbps']\n",
    "\n",
    "# Durchführung des t-Tests\n",
    "t_statistic, p_value = ttest_ind(blutdruck_sick, blutdruck_healthy, alternative='greater')\n",
    "\n",
    "print(\"t-Statistik:\", t_statistic)\n",
    "print(\"p-Wert:\", p_value)\n",
    "\n",
    "# Überprüfung Nullhypothese\n",
    "if p_value < 0.05:\n",
    "    print(\"Der p-Wert ist kleiner als 0.05, daher wird die Nullhypothese abgelehnt.\")\n",
    "    print(\"Es gibt signifikante Hinweise darauf, dass der Blutdruck bei kranken Personen höher ist als bei gesunden Personen.\")\n",
    "else:\n",
    "    print(\"Der p-Wert ist größer als oder gleich 0.05, daher wird die Nullhypothese nicht abgelehnt.\")\n",
    "    print(\"Es gibt keine signifikanten Hinweise darauf, dass der Blutdruck bei kranken Personen höher ist als bei gesunden Personen.\")"
   ]
  }
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