DSA_SS24/notebooks/demographic_plots.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Demographic Plots\n",
    "This Notebook is used to read the data from the pickle files and to create a dataframe with the demographic data.\n",
    "With this data we can create a plots to show the distribution of the demographic data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import pickle\n",
    "from scipy.stats import chi2_contingency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set path to data\n",
    "path = \"C:/Studium/dsa/data\"\n",
    "#path = \"C:/Users/Nils/Documents/HS-Mannheim/0000_MASTER/DSA/EKG_Prog/data\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reading SB\n",
      "Length of SB: 50\n",
      "Reading AFIB\n",
      "Length of AFIB: 27\n",
      "Reading GSVT\n",
      "Length of GSVT: 0\n",
      "Reading SR\n",
      "Length of SR: 13\n"
     ]
    }
   ],
   "source": [
    "\n",
    "#path = \"C:/Studium/dsa/data\"\n",
    "#path = \"C:/Users/Nils/Documents/HS-Mannheim/0000_MASTER/DSA/EKG_Prog/data\"\n",
    "path = \"C:/Users/klara/projects/DSA/data\"\n",
    "\n",
    "categories_dict = {\n",
    "'SB':    [426177001],\n",
    "'AFIB':  [164889003, 164890007],\n",
    "'GSVT':  [426761007, 713422000, 233896004, 233897008, 713422000],\n",
    "'SR':    [426783006, 427393009]\n",
    "}\n",
    "\n",
    "data = {}\n",
    "for cat_name in categories_dict.keys():\n",
    "    print(f\"Reading {cat_name}\")\n",
    "    with open(f'{path}/{cat_name}.pkl', 'rb') as f:\n",
    "        records = pickle.load(f)\n",
    "        data[cat_name] = records\n",
    "        print(f\"Length of {cat_name}: {len(records)}\")\n",
    "\n",
    "data_demographic = {'age':[], 'diag':[], 'gender':[]}\n",
    "for cat_name, records in data.items():\n",
    "    for record in records:\n",
    "        age = record.comments[0].split(' ')[1]\n",
    "        sex = record.comments[1].split(' ')[1]\n",
    "        if age == 'NaN' or sex == 'NaN':\n",
    "            continue\n",
    "        # cut Age: from alter string \n",
    "        data_demographic['age'].append(int(age))\n",
    "        data_demographic['diag'].append(cat_name)\n",
    "        data_demographic['gender'].append(sex)\n",
    "\n",
    "df_dgc = pd.DataFrame(data_demographic)\n",
    "\n",
    "# Change from group to category\n",
    "age_categories = [0, 10, 20, 30, 40, 50, 60, 70, 80, 90]\n",
    "df_dgc['age_group'] = pd.cut(df_dgc['age'], bins=age_categories)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Correlation matrix\n",
    "corr_matrix_age_diag= pd.crosstab(df_dgc['age_group'], df_dgc['diag'])\n",
    "\n",
    "# Plot the correlation matrix\n",
    "sns.heatmap(corr_matrix_age_diag, annot=True, cmap='coolwarm', fmt='d')\n",
    "plt.title('Korrelationsmatrix von Altersgruppen und Diagnosen', fontsize=16)\n",
    "plt.xlabel('Diagnose')\n",
    "plt.ylabel('Altersgruppe')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Chi-Square Statistic: 38.266574797751275\n",
      "P-value: 0.0004730210823940083\n",
      "Chi-Square Statistic for SB in 60-70 vs others: 1.4858035714285718\n",
      "P-value for SB in 60-70 vs others: 0.22286870264719977\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# Chi-square test\n",
    "chi2, p, _, _ = chi2_contingency(corr_matrix_age_diag)\n",
    "\n",
    "# Difference between observed and expected frequencies\n",
    "print(f\"Chi-Square Statistic: {chi2}\")\n",
    "print(f\"P-value: {p}\")\n",
    "\n",
    "# Check if SB (Sinusbradykardie) has a significantly higher frequency in the 60-70 age group\n",
    "sb_60_70 = corr_matrix_age_diag.loc[pd.Interval(60, 70, closed='right'), 'SB']\n",
    "sb_other = corr_matrix_age_diag.drop(pd.Interval(60, 70, closed='right')).sum()['SB']\n",
    "total_60_70 = corr_matrix_age_diag.loc[pd.Interval(60, 70, closed='right')].sum()\n",
    "total_other = corr_matrix_age_diag.drop(pd.Interval(60, 70, closed='right')).sum().sum()\n",
    "\n",
    "# Frequency table for the specific Chi-Square test\n",
    "observed = [[sb_60_70, total_60_70 - sb_60_70], [sb_other, total_other - sb_other]]\n",
    "chi2_sb, p_sb = chi2_contingency(observed)[:2]\n",
    "\n",
    "\n",
    "print(f\"Chi-Square Statistic for SB in 60-70 vs others: {chi2_sb}\")\n",
    "print(f\"P-value for SB in 60-70 vs others: {p_sb}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Correlation matrix of age groups and diagnoses.This matrix describes the four diagnosis groupings on the horizontal axis and the age groupings in decades steps on the vertical axis. The color scale blue (low) to red (high) describes the correlation of the two categorization types."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# cut out sex 'unknown' (because only one occurence)\n",
    "df_dgc_bineary = df_dgc[df_dgc['gender'] != 'Unknown']\n",
    "# Correlation matrix\n",
    "corr_matrix_sex_diag = pd.crosstab(df_dgc_bineary['gender'], df_dgc_bineary['diag'])\n",
    "\n",
    "# Plot the correlation matrix\n",
    "sns.heatmap(corr_matrix_sex_diag, annot=True, cmap='coolwarm', fmt='d')\n",
    "plt.title('Korrelationsmatrix von Geschlecht und Diagnosen', fontsize=16)\n",
    "plt.xlabel('Diagnose')\n",
    "plt.ylabel('Geschlecht')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Correlation matrix of genders and diagnoses. This matrix describes the four diagnosis groupings on the horizontal axis and the gender in decades steps on the vertical axis. The color scale blue (low) to red (high) describes the correlation of the two categorization types."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 4 subplots for each diagnosis a histrgramm for the age\n",
    "fig, axs = plt.subplots(2, 2)\n",
    "fig.suptitle('Histogramm der Altersverteilung', fontsize=16)\n",
    "for i, cat_name in enumerate(categories_dict.keys()):\n",
    "    ax = axs[i // 2, i % 2]\n",
    "    df_dgc[df_dgc['diag'] == cat_name]['age'].hist(ax=ax)\n",
    "    ax.set_title(cat_name)\n",
    "    ax.set_xlabel('Alter')\n",
    "    ax.set_ylabel('Anzahl')\n",
    "    # add some space between the subplots\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Histogram of the age distribution. Breakdown of grouped diagnoses by age group and absolute incidence of diagnoses."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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nn38qLi4uTfi4U1RUlJo3b65y5crp/fffV2BgoJydnfXdd99p2rRp9xy8nBFZ+X6/99576tWrl5YvX67vv/9eL730kiZPnqydO3eqcOHCSk1NlcVi0erVq9Pd791nIx61toxsP3ToUM2bN0/Dhg1TvXr15OXlJYvFom7duj30+/owdXt5ecnf31+//PJLmnW3w/jdA1Rv1zdixAgFBQWl2+/t46pRo0aKioqyfjaffvqppk2bptmzZ6tfv34PfE13e5jXmJqaqpYtW2rkyJHpri9TpsxjqQP2RZDBQ1uwYIEKFChgPS19pyVLlmjp0qWaPXt2ugNh7+f69evq1KmTvL299cUXX6T5Bb9582ZdvHhRS5YsUaNGjazL7zwrlF2KFi2a7qn0o0eP2szfPjVdoEABtWjRItvrutPtwdL3+kUkSd9++60SExO1YsUKm79A774UU7RoUUm3/lIvXry4dfnFixcf+i/U230ePXpUJUqUsC5PSkpSdHR0mvercuXKqly5st58801t375d9evX1+zZszVx4kSVLFlShmGoePHiD/VLKzssXrxYYWFheu+996zLbty4keaOrJIlS6YbMrJSmzZt9Omnn+rnn3+2uRx6L7c/Dycnpwwdt/ny5VPv3r3Vu3dvXblyRY0aNdLYsWPVr18/a1/Z+RpLliypK1euPLDWkiVLau3atbp06VKGzso8CE/JzlkYI4OHcv36dS1ZskRt27bVc889l2YaMmSIEhIS0tyymREDBw7U77//rqVLl6Z7+eL2X0x3/oWUlJSkmTNnPvwLyqDWrVtr586d+vnnn63Lzp8/n+aW86CgIHl6euqtt97SzZs30/ST3u3IWWHjxo2aMGGCihcvft9buNN7D+Pi4jRv3jybds2bN5ejo2Oa27L/85//PHSNLVq0kLOzsz744AOb/c+ZM0dxcXFq06aNpFtjPJKTk222rVy5snLlyqXExERJUqdOneTg4KBx48al+YvZMAxdvHjxoet8WA4ODmlq+fDDD9OMGQsNDdWBAwe0dOnSNH1k1V//I0eOVO7cudWnTx+dPXv2gfspUKCAmjRpoo8//linT59O0/7O4/bu99bDw0OlSpWyfja+vr5q1KiR5s6dq5iYmPvu92F16dJFO3bs0Nq1a9Osi42NtR4/oaGhMgxD48aNS9PuYWq5/YwnHoiXM3BGBg9lxYoVSkhI0LPPPpvu+rp168rX11cLFixQ165dM9zvqlWr9Pnnnys0NFQHDx60Gbvg4eGhDh066JlnnlHevHkVFhaml156SRaLRfPnz38sp35Hjhyp+fPnKzg4WC+//LL19uuiRYva1Orp6alZs2bphRdeUPXq1dWtWzf5+voqJiZGq1atUv369R8pDEi3nlHz22+/KTk5WWfPntXGjRu1bt06FS1aVCtWrJCrq+s9t23VqpWcnZ3Vrl07vfjii7py5Yo++eQTFShQwOYXWMGCBfXyyy/rvffe07PPPqvg4GAdOHBAq1evVv78+R/qL1NfX19FRERo3LhxCg4O1rPPPqujR49q5syZqlWrlnXMxsaNGzVkyBB17txZZcqUUXJysubPny8HBwfr2JKSJUtq4sSJioiI0IkTJ9ShQwflyZNH0dHRWrp0qQYMGKARI0ZkusZH0bZtW82fP19eXl6qUKGCduzYofXr11tvz77t1Vdf1eLFi9W5c2f16dNHNWrU0KVLl7RixQrNnj1bVatWfeRaSpcurYULF6p79+4qW7asevTooapVq8owDEVHR2vhwoXKlSuXzfisjz76SA0aNFDlypXVv39/lShRQmfPntWOHTv0559/6sCBA5KkChUqqEmTJqpRo4by5cun3bt3a/HixTbfVfTBBx+oQYMGql69ugYMGKDixYvrxIkTWrVqlfbv3//Ir+/VV1/VihUr1LZtW/Xq1Us1atTQ1atXdejQIS1evFgnTpxQ/vz51bRpU73wwgv64IMPdOzYMQUHBys1NVU//vijmjZtmunvV6pRo4Yk6d///re6desmJycntWvX7oEPsUQ2eWz3R+GJ0q5dO8PV1dW4evXqPdv06tXLcHJyMi5cuGC9vfmdd95J006SMWbMGMMw/u8W3vSmokWLWrfZtm2bUbduXcPNzc0ICAgwRo4caaxdu9aQZGzatMnarnHjxkbFihXT7DMsLMymv4zefm0YhnHw4EGjcePGhqurq1GoUCFjwoQJxpw5c9K9HXPTpk1GUFCQ4eXlZbi6uholS5Y0evXqZezevdumFnd39wfu97a73yNnZ2fDz8/PaNmypTFjxgwjPj4+zTbp3X69YsUKo0qVKoarq6tRrFgxY8qUKcbcuXPTvI7k5GRj1KhRhp+fn+Hm5mY0a9bM+PXXXw0fHx9j4MCBaeq6+7bw27cQ3/m5GMat263LlStnODk5GQULFjQGDRpkXL582br+jz/+MPr06WOULFnScHV1NfLly2c0bdrUWL9+fZrX98033xgNGjQw3N3dDXd3d6NcuXLG4MGDjaNHj1rbZPRYuBdJxuDBg9Msv/uW4MuXLxu9e/c28ufPb3h4eBhBQUHGb7/9lqadYRjGxYsXjSFDhhiFChUynJ2djcKFCxthYWHGhQsXbN67u29Bz8zxahiGcfz4cWPQoEFGqVKlDFdXV8PNzc0oV66cMXDgQGP//v1p2kdFRRk9e/Y0/Pz8DCcnJ6NQoUJG27ZtjcWLF1vbTJw40ahdu7bh7e1t7W/SpElGUlKSTV+//PKL0bFjR8Pb29twdXU1ypYta4waNcq6/vaxef78eZvtbh9Pdx6L6b2HCQkJRkREhFGqVCnD2dnZyJ8/v/HMM88Y7777rk0tycnJxjvvvGOUK1fOcHZ2Nnx9fY2QkBBjz5491jYZ/YwN49at34UKFTJy5crFrdh2ZjEMRjAByJzY2FjlzZtXEydOTPcprQDwuDBGBsB9pfdlk7efmNqkSZPHWwwA3IUxMgDu68svv1RkZKRat24tDw8Pbd26VV988YVatWql+vXr27s8AE85ggyA+6pSpYocHR01depUxcfHWwcA3/18HwCwB8bIAAAA02KMDAAAMC2CDAAAMK0nfoxMamqq/v77b+XJk4fHSgMAYBKGYSghIUEBAQH3/S66Jz7I/P333woMDLR3GQAA4CGcOnXK5unTd3vig8ztr7I/derUPb8KHgAA5Czx8fEKDAy0/h6/lyc+yNy+nOTp6UmQAQDAZB40LITBvgAAwLQIMgAAwLQIMgAAwLSe+DEyAADcLTU1VUlJSfYu46nm5OQkBweHR+6HIAMAeKokJSUpOjpaqamp9i7lqeft7S0/P79Hes4bQQYA8NQwDEOnT5+Wg4ODAgMD7/ugNWQfwzB07do1nTt3TpLk7+//0H0RZAAAT43k5GRdu3ZNAQEByp07t73Leaq5ublJks6dO6cCBQo89GUmoigA4KmRkpIiSXJ2drZzJZBkDZM3b9586D4IMgCApw7fvZczZMXnQJABAACmZdcgM2vWLFWpUsX69QH16tXT6tWrreubNGkii8ViMw0cONCOFQMAkPP16tVLHTp0sHcZj4VdB/sWLlxYb7/9tkqXLi3DMPTZZ5+pffv22rdvnypWrChJ6t+/v8aPH2/dhsFZAADgNrsGmXbt2tnMT5o0SbNmzdLOnTutQSZ37tzy8/OzR3kAADyVDMNQSkqKHB1z/s3NOWaMTEpKihYtWqSrV6+qXr161uULFixQ/vz5ValSJUVEROjatWt2rBIAgIxLSEhQjx495O7uLn9/f02bNk1NmjTRsGHDJEmJiYkaMWKEChUqJHd3d9WpU0ebN2+2bh8ZGSlvb2+tXbtW5cuXl4eHh4KDg3X69Glrm5SUFIWHh8vb21s+Pj4aOXKkDMOwqSM1NVWTJ09W8eLF5ebmpqpVq2rx4sXW9Zs3b5bFYtHq1atVo0YNubi4aOvWrdn63mQVuweZQ4cOycPDQy4uLho4cKCWLl2qChUqSJL++c9/6n//+582bdqkiIgIzZ8/X88///x9+0tMTFR8fLzNBACAPYSHh2vbtm1asWKF1q1bpx9//FF79+61rh8yZIh27NihRYsW6eDBg+rcubOCg4N17Ngxa5tr167p3Xff1fz587VlyxbFxMRoxIgR1vXvvfeeIiMjNXfuXG3dulWXLl3S0qVLbeqYPHmyPv/8c82ePVuHDx/W8OHD9fzzz+uHH36waff666/r7bff1q+//qoqVapk07uStSzG3bHtMUtKSlJMTIzi4uK0ePFiffrpp/rhhx+sYeZOGzduVPPmzXX8+HGVLFky3f7Gjh2rcePGpVkeFxcnT0/PLK//aRMzvrK9S8gRiow+ZO8SADyEGzduKDo6WsWLF5erq2u27ishIUE+Pj5auHChnnvuOUm3fhcFBASof//+Cg8PV4kSJRQTE6OAgADrdi1atFDt2rX11ltvKTIyUr1797b5vTdz5kyNHz9eZ86ckSQFBARo+PDhevXVVyXdeuhf8eLFVaNGDS1btkyJiYnKly+f1q9fb3PFo1+/frp27ZoWLlyozZs3q2nTplq2bJnat2+fre/Lne73ecTHx8vLy+uBv7/tfvHL2dlZpUqVkiTVqFFDu3bt0owZM/Txxx+naVunTh1Jum+QiYiIUHh4uHU+Pj5egYGB2VA5AAD39scff+jmzZuqXbu2dZmXl5fKli0r6dYViZSUFJUpU8Zmu8TERPn4+Fjnc+fObfM7z9/f3/po/7i4OJ0+fdr6+1GSHB0dVbNmTevlpePHj+vatWtq2bKlzX6SkpJUrVo1m2U1a9Z8lJdsF3YPMndLTU1VYmJiuuv2798v6f7fyeDi4iIXF5fsKA0AgCxz5coVOTg4aM+ePWkez+/h4WH9t5OTk806i8WSZgzMg/YjSatWrVKhQoVs1t39+9Ld3T3D/eYUdg0yERERCgkJUZEiRZSQkGA9vbV27VpFRUVp4cKFat26tXx8fHTw4EENHz5cjRo1Ms11OwDA06tEiRJycnLSrl27VKRIEUm3zqD8/vvvatSokapVq6aUlBSdO3dODRs2fKh9eHl5yd/fXz/99JMaNWok6dalpT179qh69eqSpAoVKsjFxUUxMTFq3Lhx1ry4HMSuQebcuXPq2bOnTp8+LS8vL1WpUkVr165Vy5YtderUKa1fv17Tp0/X1atXFRgYqNDQUL355pv2LBkAgAzJkyePwsLC9OqrrypfvnwqUKCAxowZo1y5cslisahMmTLq0aOHevbsqffee0/VqlXT+fPntWHDBlWpUkVt2rTJ0H5efvll6zPZypUrp/fff1+xsbE2dYwYMULDhw9XamqqGjRooLi4OG3btk2enp4KCwvLpnfg8bBrkJkzZ8491wUGBqYZTQ0AgJm8//77GjhwoNq2bStPT0+NHDlSp06dsg5snTdvniZOnKhXXnlFf/31l/Lnz6+6deuqbdu2Gd7HK6+8otOnTyssLEy5cuVSnz591LFjR8XFxVnbTJgwQb6+vpo8ebL++OMPeXt7q3r16nrjjTey/DU/bna/aym7ZXTUMzKGu5Zu4a4lwJwe511L6bl69aoKFSqk9957T3379n3s+89pnoi7lgAAeFLt27dPv/32m2rXrq24uDjrV+48zlucn3QEGQAAstG7776ro0ePytnZWTVq1NCPP/6o/Pnz27usJwZBBgCAbFKtWjXt2bPH3mU80ez+FQUAAAAPiyADAABMiyADAABMiyADAABMiyADAABMiyADAABMiyADAAAeSrFixTR9+nS71sBzZAAAT70ar37+WPe3552emd6mV69e+uyzz9IsP3bsmEqVKpUVZZkSQQYAAJMIDg7WvHnzbJb5+vraqZqcgUtLAACYhIuLi/z8/GwmBwcHLV++XNWrV5erq6tKlCihcePGKTk52bqdxWLRxx9/rLZt2yp37twqX768duzYoePHj6tJkyZyd3fXM888o6ioKOs2UVFRat++vQoWLCgPDw/VqlVL69evv299sbGx6tevn3x9feXp6almzZrpwIED2fZ+SAQZAABM7ccff1TPnj318ssv68iRI/r4448VGRmpSZMm2bSbMGGCevbsqf3796tcuXL65z//qRdffFERERHavXu3DMPQkCFDrO2vXLmi1q1ba8OGDdq3b5+Cg4PVrl07xcTE3LOWzp0769y5c1q9erX27Nmj6tWrq3nz5rp06VK2vX4uLQEAYBIrV66Uh4eHdT4kJESXL1/W66+/rrCwMElSiRIlNGHCBI0cOVJjxoyxtu3du7e6dOkiSXrttddUr149jRo1SkFBQZKkl19+Wb1797a2r1q1qqpWrWqdnzBhgpYuXaoVK1bYBJ7btm7dqp9//lnnzp2Ti4uLpFtfmLls2TItXrxYAwYMyMJ34v8QZAAAMImmTZtq1qxZ1nl3d3dVqVJF27ZtszkDk5KSohs3bujatWvKnTu3JKlKlSrW9QULFpQkVa5c2WbZjRs3FB8fL09PT125ckVjx47VqlWrdPr0aSUnJ+v69ev3PCNz4MABXblyRT4+PjbLr1+/bnPJKqsRZAAAMAl3d/c0dyhduXJF48aNU6dOndK0d3V1tf7bycnJ+m+LxXLPZampqZKkESNGaN26dXr33XdVqlQpubm56bnnnlNSUlK6tV25ckX+/v7avHlzmnXe3t4Ze4EPgSADAICJVa9eXUePHs3yW7C3bdumXr16qWPHjpJuBZUTJ07ct44zZ87I0dFRxYoVy9Ja7ocgAwCAiY0ePVpt27ZVkSJF9NxzzylXrlw6cOCAfvnlF02cOPGh+y1durSWLFmidu3ayWKxaNSoUdazNelp0aKF6tWrpw4dOmjq1KkqU6aM/v77b61atUodO3ZUzZo1H7qW++GuJQAATCwoKEgrV67U999/r1q1aqlu3bqaNm2aihYt+kj9vv/++8qbN6+eeeYZtWvXTkFBQapevfo921ssFn333Xdq1KiRevfurTJlyqhbt246efKkdUxOdrAYhmFkW+85QHx8vLy8vBQXFydPT097l2N6MeMrP7jRU6DI6EP2LgHAQ7hx44aio6NVvHhxm/EjsI/7fR4Z/f3NGRkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAJ4yJ06ckMVi0f79++1dyiPjSyMBAE+9x/31Kw/zNSe9evXSZ599phdffFGzZ8+2WTd48GDNnDlTYWFhioyMzKIqzYEzMgAAmERgYKAWLVqk69evW5fduHFDCxcuVJEiRexYmf0QZAAAMInq1asrMDBQS5YssS5bsmSJihQpomrVqlmXrVmzRg0aNJC3t7d8fHzUtm1bRUVF3bfvX375RSEhIfLw8FDBggX1wgsv6MKFC9n2WrIKQQYAABPp06eP5s2bZ52fO3euevfubdPm6tWrCg8P1+7du7VhwwblypVLHTt2VGpqarp9xsbGqlmzZqpWrZp2796tNWvW6OzZs+rSpUu2vpaswBgZAABM5Pnnn1dERIROnjwpSdq2bZsWLVqkzZs3W9uEhobabDN37lz5+vrqyJEjqlSpUpo+//Of/6hatWp66623bLYJDAzU77//rjJlymTPi8kCBBkAAEzE19dXbdq0UWRkpAzDUJs2bZQ/f36bNseOHdPo0aP1008/6cKFC9YzMTExMekGmQMHDmjTpk3y8PBIsy4qKoogAwAAsk6fPn00ZMgQSdJHH32UZn27du1UtGhRffLJJwoICFBqaqoqVaqkpKSkdPu7cuWK2rVrpylTpqRZ5+/vn7XFZzGCDAAAJhMcHKykpCRZLBYFBQXZrLt48aKOHj2qTz75RA0bNpQkbd269b79Va9eXd98842KFSsmR0dzRQO7DvadNWuWqlSpIk9PT3l6eqpevXpavXq1df2NGzc0ePBg+fj4yMPDQ6GhoTp79qwdKwYAwP4cHBz066+/6siRI3JwcLBZlzdvXvn4+Oi///2vjh8/ro0bNyo8PPy+/Q0ePFiXLl1S9+7dtWvXLkVFRWnt2rXq3bu3UlJSsvOlPDK7BpnChQvr7bff1p49e7R79241a9ZM7du31+HDhyVJw4cP17fffquvv/5aP/zwg/7++2916tTJniUDAJAj3D4JcLdcuXJp0aJF2rNnjypVqqThw4frnXfeuW9fAQEB2rZtm1JSUtSqVStVrlxZw4YNk7e3t3Llytk3OFsMwzDsXcSd8uXLp3feeUfPPfecfH19tXDhQj333HOSpN9++03ly5fXjh07VLdu3Qz1Fx8fLy8vL8XFxaX7gSNzHvfTL3Oqh3kqJwD7u3HjhqKjo1W8eHG5urrau5yn3v0+j4z+/s4xMSslJUWLFi3S1atXVa9ePe3Zs0c3b95UixYtrG3KlSunIkWKaMeOHffsJzExUfHx8TYTAAB4Mtk9yBw6dEgeHh5ycXHRwIEDtXTpUlWoUEFnzpyRs7OzvL29bdoXLFhQZ86cuWd/kydPlpeXl3UKDAzM5lcAAADsxe5BpmzZstq/f79++uknDRo0SGFhYTpy5MhD9xcREaG4uDjrdOrUqSysFgAA5CR2v8fK2dlZpUqVkiTVqFFDu3bt0owZM9S1a1clJSUpNjbW5qzM2bNn5efnd8/+XFxc5OLikt1lAwCAHMDuZ2TulpqaqsTERNWoUUNOTk7asGGDdd3Ro0cVExOjevXq2bFCAIDZ5bD7XJ5aWfE52PWMTEREhEJCQlSkSBElJCRo4cKF2rx5s9auXSsvLy/17dtX4eHhypcvnzw9PTV06FDVq1cvw3csAQBwp9vPXElKSpKbm5udq8G1a9ckSU5OTg/dh12DzLlz59SzZ0+dPn1aXl5eqlKlitauXauWLVtKkqZNm6ZcuXIpNDRUiYmJCgoK0syZM+1ZMgDAxBwdHZU7d26dP39eTk5OOf4ZKU8qwzB07do1nTt3Tt7e3mke6pcZOe45MlmN58hkLZ4jcwvPkQHMKykpSdHR0dYvUoT9eHt7y8/PTxaLJc26jP7+tvtgXwAAHidnZ2eVLl36nl+giMfDycnpkc7E3EaQAQA8dXLlysWTfZ8QXBwEAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmZdcgM3nyZNWqVUt58uRRgQIF1KFDBx09etSmTZMmTWSxWGymgQMH2qliAACQk9g1yPzwww8aPHiwdu7cqXXr1unmzZtq1aqVrl69atOuf//+On36tHWaOnWqnSoGAAA5iaM9d75mzRqb+cjISBUoUEB79uxRo0aNrMtz584tPz+/x10eAADI4XLUGJm4uDhJUr58+WyWL1iwQPnz51elSpUUERGha9eu3bOPxMRExcfH20wAAODJZNczMndKTU3VsGHDVL9+fVWqVMm6/J///KeKFi2qgIAAHTx4UK+99pqOHj2qJUuWpNvP5MmTNW7cuMdVNgAAsCOLYRiGvYuQpEGDBmn16tXaunWrChcufM92GzduVPPmzXX8+HGVLFkyzfrExEQlJiZa5+Pj4xUYGKi4uDh5enpmS+1Pk5jxle1dQo5QZPQhe5cAAE+0+Ph4eXl5PfD3d444IzNkyBCtXLlSW7ZsuW+IkaQ6depI0j2DjIuLi1xcXLKlTgAAkLPYNcgYhqGhQ4dq6dKl2rx5s4oXL/7Abfbv3y9J8vf3z+bqAABATmfXIDN48GAtXLhQy5cvV548eXTmzBlJkpeXl9zc3BQVFaWFCxeqdevW8vHx0cGDBzV8+HA1atRIVapUsWfpAAAgB7BrkJk1a5akWw+9u9O8efPUq1cvOTs7a/369Zo+fbquXr2qwMBAhYaG6s0337RDtQAAIKex+6Wl+wkMDNQPP/zwmKoBAABmk6OeIwMAAJAZBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBadg0ykydPVq1atZQnTx4VKFBAHTp00NGjR23a3LhxQ4MHD5aPj488PDwUGhqqs2fP2qliAACQkzhmpFF4eHiGO3z//fcz3PaHH37Q4MGDVatWLSUnJ+uNN95Qq1atdOTIEbm7u0uShg8frlWrVunrr7+Wl5eXhgwZok6dOmnbtm0Z3g8AAHgyZSjI7Nu3L0OdWSyWTO18zZo1NvORkZEqUKCA9uzZo0aNGikuLk5z5szRwoUL1axZM0nSvHnzVL58ee3cuVN169bN1P4AAMCTJUNBZtOmTdldhyQpLi5OkpQvXz5J0p49e3Tz5k21aNHC2qZcuXIqUqSIduzYQZABAOApl6Eg8zikpqZq2LBhql+/vipVqiRJOnPmjJydneXt7W3TtmDBgjpz5ky6/SQmJioxMdE6Hx8fn201AwAA+8p0kLl69arefvttbdiwQefOnVNqaqrN+j/++OOhChk8eLB++eUXbd269aG2v23y5MkaN27cI/UBAADMIdNBpl+/fvrhhx/0wgsvyN/fP9PjYtIzZMgQrVy5Ulu2bFHhwoWty/38/JSUlKTY2FibszJnz56Vn59fun1FRETYDE6Oj49XYGDgI9cIAABynkwHmdWrV2vVqlWqX7/+I+/cMAwNHTpUS5cu1ebNm1W8eHGb9TVq1JCTk5M2bNig0NBQSdLRo0cVExOjevXqpduni4uLXFxcHrk2AACQ82U6yOTNm9c6GPdRDR48WAsXLtTy5cuVJ08e67gXLy8vubm5ycvLS3379lV4eLjy5csnT09PDR06VPXq1WOgLwAAyPwD8SZMmKDRo0fr2rVrj7zzWbNmKS4uTk2aNJG/v791+vLLL61tpk2bprZt2yo0NFSNGjWSn5+flixZ8sj7BgAA5pehMzLVqlWzGQtz/PhxFSxYUMWKFZOTk5NN271792Z454ZhPLCNq6urPvroI3300UcZ7hcAADwdMhRkOnTokM1lAAAAZF6GgsyYMWOyuw4AAIBM49uvAQCAaWX6rqWUlBRNmzZNX331lWJiYpSUlGSz/tKlS1lWHAAAwP1k+ozMuHHj9P7776tr166Ki4tTeHi4OnXqpFy5cmns2LHZUCIAAED6Mh1kFixYoE8++USvvPKKHB0d1b17d3366acaPXq0du7cmR01AgAApCvTQebMmTOqXLmyJMnDw8P6jdVt27bVqlWrsrY6AACA+8h0kClcuLBOnz4tSSpZsqS+//57SdKuXbv4agAAAPBYZTrIdOzYURs2bJAkDR06VKNGjVLp0qXVs2dP9enTJ8sLBAAAuJdM37X09ttvW//dtWtXFS1aVNu3b1fp0qXVrl27LC0OAADgfjIdZO5Wt25dvsARAADYRaYvLTk4OKhp06Zpnhdz9uxZOTg4ZFlhAAAAD5LpIGMYhhITE1WzZk0dPnw4zToAAIDHJdNBxmKx6JtvvlG7du1Ur149LV++3GYdAADA45LpMTKGYcjBwUEzZsxQxYoV1bVrV7355pvq169fdtQHAPcVM76yvUvIEYqMPmTvEgC7eKTBvgMGDFDp0qXVuXNnbdmyJatqAgAAyJBMX1oqWrSozaDepk2baufOnTp16lSWFgYAAPAgmT4jEx0dnWZZqVKltG/fPp09ezZLigIAAMiIh760lJSUpHPnzik1NdW6jMG+AADgccp0kPn999/Vt29fbd++3Wa5YRiyWCxKSUnJsuIAAADuJ9NBpnfv3nJ0dNTKlSvl7+/PWRgAAGA3mQ4y+/fv1549e1SuXLnsqAcAACDDMn3XUoUKFXThwoXsqAUAACBTMh1kpkyZopEjR2rz5s26ePGi4uPjbSYAAIDHJdOXllq0aCFJat68uc1yBvsCAIDHLdNBZtOmTfdcd+gQj8gGAACPT6aDTOPGjW3mExIS9MUXX+jTTz/Vnj17NGTIkCwrDgAA4H4yPUbmti1btigsLEz+/v5699131axZM+3cuTMrawMAALivTJ2ROXPmjCIjIzVnzhzFx8erS5cuSkxM1LJly1ShQoXsqhEAACBdGT4j065dO5UtW1YHDx7U9OnT9ffff+vDDz/MztoAAADuK8NnZFavXq2XXnpJgwYNUunSpbOzJgAAgAzJ8BmZrVu3KiEhQTVq1FCdOnX0n//8hwfjAQAAu8pwkKlbt64++eQTnT59Wi+++KIWLVqkgIAApaamat26dUpISMjOOgEAANLI9F1L7u7u6tOnj7Zu3apDhw7plVde0dtvv60CBQro2WefzY4aAQAA0vXQt19LUtmyZTV16lT9+eef+uKLL7KqJgAAgAx5pCBzm4ODgzp06KAVK1ZkRXcAAAAZkiVBBgAAwB4IMgAAwLQIMgAAwLQIMgAAwLTsGmS2bNmidu3aKSAgQBaLRcuWLbNZ36tXL1ksFpspODjYPsUCAIAcx65B5urVq6patao++uije7YJDg7W6dOnrRO3eQMAgNsy9e3XWS0kJEQhISH3bePi4iI/P7/HVBEAADCTHD9GZvPmzSpQoIDKli2rQYMG6eLFi/dtn5iYqPj4eJsJAAA8mex6RuZBgoOD1alTJxUvXlxRUVF64403FBISoh07dsjBwSHdbSZPnqxx48ZlaR01Xv08S/szs6V57F0BAAD/J0cHmW7duln/XblyZVWpUkUlS5bU5s2b1bx583S3iYiIUHh4uHU+Pj5egYGB2V4rAAB4/HL8paU7lShRQvnz59fx48fv2cbFxUWenp42EwAAeDKZKsj8+eefunjxovz9/e1dCgAAyAHsemnpypUrNmdXoqOjtX//fuXLl0/58uXTuHHjFBoaKj8/P0VFRWnkyJEqVaqUgoKC7Fg1AADIKewaZHbv3q2mTZta52+PbQkLC9OsWbN08OBBffbZZ4qNjVVAQIBatWqlCRMmyMXFxV4lAwCAHMSuQaZJkyYyDOOe69euXfsYqwEAAGZjqjEyAAAAdyLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA07JrkNmyZYvatWungIAAWSwWLVu2zGa9YRgaPXq0/P395ebmphYtWujYsWP2KRYAAOQ4dg0yV69eVdWqVfXRRx+lu37q1Kn64IMPNHv2bP30009yd3dXUFCQbty48ZgrBQAAOZGjPXceEhKikJCQdNcZhqHp06frzTffVPv27SVJn3/+uQoWLKhly5apW7duj7NUAACQA+XYMTLR0dE6c+aMWrRoYV3m5eWlOnXqaMeOHffcLjExUfHx8TYTAAB4MuXYIHPmzBlJUsGCBW2WFyxY0LouPZMnT5aXl5d1CgwMzNY6AQCA/eTYIPOwIiIiFBcXZ51OnTpl75IAAEA2ybFBxs/PT5J09uxZm+Vnz561rkuPi4uLPD09bSYAAPBkyrFBpnjx4vLz89OGDRusy+Lj4/XTTz+pXr16dqwMAADkFHa9a+nKlSs6fvy4dT46Olr79+9Xvnz5VKRIEQ0bNkwTJ05U6dKlVbx4cY0aNUoBAQHq0KGD/YoGAAA5hl2DzO7du9W0aVPrfHh4uCQpLCxMkZGRGjlypK5evaoBAwYoNjZWDRo00Jo1a+Tq6mqvkgEAQA5i1yDTpEkTGYZxz/UWi0Xjx4/X+PHjH2NVAADALHLsGBkAAIAHIcgAAADTIsgAAADTsusYGQAPr8arn9u7hBxhaR57VwDAnjgjAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATMvR3gUAAJ4MNV793N4l5Ah73ulp7xKeKpyRAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApsWTfQEAyEIx4yvbu4QcocjoQ49lP5yRAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAAppWjg8zYsWNlsVhspnLlytm7LAAAkEPk+NuvK1asqPXr11vnHR1zfMkAAOAxyfGpwNHRUX5+fvYuAwAA5EA5+tKSJB07dkwBAQEqUaKEevTooZiYmPu2T0xMVHx8vM0EAACeTDk6yNSpU0eRkZFas2aNZs2apejoaDVs2FAJCQn33Gby5Mny8vKyToGBgY+xYgAA8Djl6CATEhKizp07q0qVKgoKCtJ3332n2NhYffXVV/fcJiIiQnFxcdbp1KlTj7FiAADwOOX4MTJ38vb2VpkyZXT8+PF7tnFxcZGLi8tjrAoAANhLjj4jc7crV64oKipK/v7+9i4FAADkADk6yIwYMUI//PCDTpw4oe3bt6tjx45ycHBQ9+7d7V0aAADIAXL0paU///xT3bt318WLF+Xr66sGDRpo586d8vX1tXdpAAAgB8jRQWbRokX2LgEAAORgOfrSEgAAwP0QZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGmZIsh89NFHKlasmFxdXVWnTh39/PPP9i4JAADkADk+yHz55ZcKDw/XmDFjtHfvXlWtWlVBQUE6d+6cvUsDAAB2luODzPvvv6/+/furd+/eqlChgmbPnq3cuXNr7ty59i4NAADYWY4OMklJSdqzZ49atGhhXZYrVy61aNFCO3bssGNlAAAgJ3C0dwH3c+HCBaWkpKhgwYI2ywsWLKjffvst3W0SExOVmJhonY+Li5MkxcfHP3QdKYnXH3rbJ02CU4q9S8gRHuV4yiocl7dwTN7CMZlzcEze8qjH5O3tDcO4b7scHWQexuTJkzVu3Lg0ywMDA+1QzZOnkr0LyCkme9m7Avx/HJP/H8dkjsEx+f9l0TGZkJAgL69795Wjg0z+/Pnl4OCgs2fP2iw/e/as/Pz80t0mIiJC4eHh1vnU1FRdunRJPj4+slgs2Vrvky4+Pl6BgYE6deqUPD097V0OwDGJHIdjMusYhqGEhAQFBATct12ODjLOzs6qUaOGNmzYoA4dOki6FUw2bNigIUOGpLuNi4uLXFxcbJZ5e3tnc6VPF09PT/6DIkfhmEROwzGZNe53Jua2HB1kJCk8PFxhYWGqWbOmateurenTp+vq1avq3bu3vUsDAAB2luODTNeuXXX+/HmNHj1aZ86c0T/+8Q+tWbMmzQBgAADw9MnxQUaShgwZcs9LSXh8XFxcNGbMmDSX7gB74ZhETsMx+fhZjAfd1wQAAJBD5egH4gEAANwPQQYAAJgWQQYAAJgWQQYAAJgWQQY2zp8/r0GDBqlIkSJycXGRn5+fgoKCtG3bNklSsWLFZLFYZLFY5ODgoICAAPXt21eXL1+2c+V4EuzYsUMODg5q06aNzfITJ05Yj7s7p+eff95m/f79+9Nt7+zsrFKlSmnixIkP/N4WICMy87Myd+7cqly5sj799FM7V/1kMsXt13h8QkNDlZSUpM8++0wlSpTQ2bNntWHDBl28eNHaZvz48erfv79SUlL0+++/a8CAAXrppZc0f/58O1aOJ8GcOXM0dOhQzZkzR3///XeaR5OvX79eFStWtM67ubndt7/b7RMTE7V161b169dP/v7+6tu3b7bUj6dHZn5WXrt2TV9//bX69++vQoUKKSQkxI6VP3kIMrCKjY3Vjz/+qM2bN6tx48aSpKJFi6p27do27fLkyWP9rqtChQopLCxMX3zxxWOvF0+WK1eu6Msvv9Tu3bt15swZRUZG6o033rBp4+Pjc8/vWUvPne2LFi2qefPmae/evQQZPJKH+Vn52muvaerUqVq3bh1BJotxaQlWHh4e8vDw0LJly5SYmJihbf766y99++23qlOnTjZXhyfdV199pXLlyqls2bJ6/vnnNXfu3Cy9DLR7927t2bOHYxWPLLM/K1NTU/XNN9/o8uXLcnZ2fgwVPmUM4A6LFy828ubNa7i6uhrPPPOMERERYRw4cMC6vmjRooazs7Ph7u5uuLq6GpKMOnXqGJcvX7Zf0XgiPPPMM8b06dMNwzCMmzdvGvnz5zc2bdpkGIZhREdHG5IMNzc3w93d3Trt3bvXZv2+ffvSbe/k5GRIMgYMGGCPl4YnUGZ+Vjo6OhqSjHz58hnHjh2zY9VPJs7IwEZoaKj+/vtvrVixQsHBwdq8ebOqV6+uyMhIa5tXX31V+/fv18GDB7VhwwZJUps2bZSSkmKnqmF2R48e1c8//6zu3btLkhwdHdW1a1fNmTPHpt2XX36p/fv3W6cKFSrct9/b7Q8cOKCvvvpKy5cv1+uvv55trwNPj8z8rNy4caPq1KmjadOmqVSpUvYr+kll7ySFnK9v375GkSJFDMO49VfGtGnTbNbv2LHDkGSsW7fODtXhSfDqq68akgwHBwfrlCtXLsPNzc2IjY1Nc8blbvc6I3N3+8mTJxuOjo7G9evXs/cF4al0v5+VMTExhpeXl3H48GE7Vffk4owMHqhChQq6evXqPdc7ODhIkq5fv/64SsITJDk5WZ9//rnee+89m7MtBw4cUEBAQJYOJHdwcFBycrKSkpKyrE/gtvv9rAwMDFTXrl0VERHxmKt68nHXEqwuXryozp07q0+fPqpSpYry5Mmj3bt3a+rUqWrfvr21XUJCgs6cOSPDMHTq1CmNHDlSvr6+euaZZ+xYPcxq5cqVunz5svr27SsvLy+bdaGhoZozZ46Cg4Mfqu+LFy/qzJkzSk5O1qFDhzRjxgw1bdpUnp6eWVE6nlIZ/Vl5t5dfflmVKlXS7t27VbNmzcdY8ZONIAMrDw8P63XcqKgo3bx5U4GBgerfv7/NbbCjR4/W6NGjJUm+vr6qVauWvv/+e/n4+NirdJjYnDlz1KJFizQhRroVZKZOnar4+PiH6rtFixaSbp2J8ff3V+vWrTVp0qRHqhfI6M/Ku1WoUEGtWrXS6NGj9d133z3Gip9sFsPgMZcAAMCcGCMDAABMiyADAABMiyADAABMiyADAABMiyADAABMiyADAABMiyADAABMiyAD4LGxWCxatmyZvcsA8AQhyAB4ZL169ZLFYpHFYpGTk5MKFiyoli1bau7cuUpNTbW2O336tEJCQuxYKYAnDUEGQJYIDg7W6dOndeLECa1evVpNmzbVyy+/rLZt2yo5OVmS5OfnJxcXFztXCuBJQpABkCVcXFzk5+enQoUKqXr16nrjjTe0fPlyrV69WpGRkZLSXlp67bXXVKZMGeXOnVslSpTQqFGjdPPmTZt+J06cqAIFCihPnjzq16+fXn/9df3jH/+wru/Vq5c6dOigd999V/7+/vLx8dHgwYNt+rl8+bJ69uypvHnzKnfu3AoJCdGxY8es60+ePKl27dopb968cnd3V8WKFW2+C+eXX35RSEiIPDw8VLBgQb3wwgu6cOFC1r6BAB4KQQZAtmnWrJmqVq2qJUuWpLs+T548ioyM1JEjRzRjxgx98sknmjZtmnX9ggULNGnSJE2ZMkV79uxRkSJFNGvWrDT9bNq0SVFRUdq0aZM+++wzRUZGWsOTdCvs7N69WytWrNCOHTtkGIZat25tDTuDBw9WYmKitmzZokOHDmnKlCny8PCQJMXGxqpZs2aqVq2adu/erTVr1ujs2bPq0qVLFr5TAB6aAQCPKCwszGjfvn2667p27WqUL1/eMAzDkGQsXbr0nv288847Ro0aNazzderUMQYPHmzTpn79+kbVqlVt9l20aFEjOTnZuqxz585G165dDcMwjN9//92QZGzbts26/sKFC4abm5vx1VdfGYZhGJUrVzbGjh2bbk0TJkwwWrVqZbPs1KlThiTj6NGj93wtAB4PzsgAyFaGYchisaS77ssvv1T9+vXl5+cnDw8Pvfnmm4qJibGuP3r0qGrXrm2zzd3zklSxYkU5ODhY5/39/XXu3DlJ0q+//ipHR0fVqVPHut7Hx0dly5bVr7/+Kkl66aWXNHHiRNWvX19jxozRwYMHrW0PHDigTZs2ycPDwzqVK1dOkhQVFZXZtwNAFiPIAMhWv/76q4oXL55m+Y4dO9SjRw+1bt1aK1eu1L59+/Tvf/9bSUlJmd6Hk5OTzbzFYrG5W+pB+vXrpz/++EMvvPCCDh06pJo1a+rDDz+UJF25ckXt2rXT/v37baZjx46pUaNGma4VQNYiyADINhs3btShQ4cUGhqaZt327dtVtGhR/fvf/1bNmjVVunRpnTx50qZN2bJltWvXLptld88/SPny5ZWcnKyffvrJuuzixYs6evSoKlSoYF0WGBiogQMHasmSJXrllVf0ySefSJKqV6+uw4cPq1ixYipVqpTN5O7unqlaAGQ9ggyALJGYmKgzZ87or7/+0t69e/XWW2+pffv2atu2rXr27JmmfenSpRUTE6NFixYpKipKH3zwgZYuXWrTZujQoZozZ44+++wzHTt2TBMnTtTBgwfveakqPaVLl1b79u3Vv39/bd26VQcOHNDzzz+vQoUKqX379pKkYcOGae3atYqOjtbevXu1adMmlS9fXtKtgcCXLl1S9+7dtWvXLkVFRWnt2rXq3bu3UlJSHuEdA5AVCDIAssSaNWvk7++vYsWKKTg4WJs2bdIHH3yg5cuX24xfue3ZZ5/V8OHDNWTIEP3jH//Q9u3bNWrUKJs2PXr0UEREhEaMGKHq1asrOjpavXr1kqura6ZqmzdvnmrUqKG2bduqXr16MgxD3333nfWSVEpKigYPHqzy5csrODhYZcqU0cyZMyVJAQEB2rZtm1JSUtSqVStVrlxZw4YNk7e3t3Ll4kcoYG8WwzAMexcBABnVsmVL+fn5af78+fYuBUAO4GjvAgDgXq5du6bZs2crKChIDg4O+uKLL7R+/XqtW7fO3qUByCE4IwMgx7p+/bratWunffv26caNGypbtqzefPNNderUyd6lAcghCDIAAMC0GKkGAABMiyADAABMiyADAABMiyADAABMiyADAABMiyADAABMiyADAABMiyADAABMiyADAABM6/8BtuZTqsup2a0AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# a barplot for each category with the age grpuoped besides each other\n",
    "fig, ax = plt.subplots()\n",
    "sns.countplot(data=df_dgc_bineary, x='diag', hue='gender', ax=ax)\n",
    "plt.title('Anzahl der Diagnosen nach Geschlecht')\n",
    "plt.xlabel('Diagnose')\n",
    "plt.ylabel('Anzahl')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Barplot to visualize the distribution of diagnoses by gender. Where blue is female and orange is male."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# barplot how many diagnosis are in each age group\n",
    "fig, ax = plt.subplots()\n",
    "sns.countplot(data=df_dgc, x='age_group', hue='diag', ax=ax)\n",
    "plt.title('Anzahl der Diagnosen nach Altersgruppen')\n",
    "plt.xlabel('Altersgruppe')\n",
    "plt.ylabel('Anzahl')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Barplot to show the distribution of diagnoses based on the age groupings. The difference in the incidence of the various diseases can be clearly seen here."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}