Medic_data_analysis.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "99DAa7IZm-IB"
      },
      "outputs": [],
      "source": [
        "mongo_url = \"mongodb+srv://arth1234samepass:arth1234@cluster0.pdgx6ns.mongodb.net/Healthmate?retryWrites=true&w=majority&appName=Cluster0\""
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install pymongo"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JO9oZHrmnYaF",
        "outputId": "49623291-d97f-40c0-f840-71611ba54c7e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting pymongo\n",
            "  Downloading pymongo-4.6.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (676 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m676.9/676.9 kB\u001b[0m \u001b[31m4.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting dnspython<3.0.0,>=1.16.0 (from pymongo)\n",
            "  Downloading dnspython-2.6.1-py3-none-any.whl (307 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m307.7/307.7 kB\u001b[0m \u001b[31m24.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: dnspython, pymongo\n",
            "Successfully installed dnspython-2.6.1 pymongo-4.6.3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pymongo\n",
        "import pandas as pd"
      ],
      "metadata": {
        "id": "ItgjPrlMnskK"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "client = pymongo.MongoClient(mongo_url)\n",
        "db = client.Healthmate"
      ],
      "metadata": {
        "id": "w309qqYJnyvi"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "datas_collection = db.datas"
      ],
      "metadata": {
        "id": "0wTqdXZqn1FQ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "all_data = datas_collection.find()\n",
        "data_array = []\n",
        "for data in all_data:\n",
        "    data_array.append(data)\n",
        "data_table = pd.DataFrame(data_array)\n",
        "data_table"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "XjYVDHDyoDKW",
        "outputId": "a193c2e0-3cbf-43cc-fa1b-b19876de66a2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                         _id      diseaseName                 medicineName  \\\n",
              "0   66125b1b04af74b32f207547         headache                       crocin   \n",
              "1   66125b9104af74b32f207557          typhoid                     alakazam   \n",
              "2   66125bfd04af74b32f20755b          typhoid                     alakazam   \n",
              "3   66214e40d5468a47358e177a          malaria                 chloroquine    \n",
              "4   66214e42d5468a47358e177b         typhoid   ofloxacin + Chloramphenicol   \n",
              "5   66214e42d5468a47358e177c         typhoid   ofloxacin + Chloramphenicol   \n",
              "6   66214e42d5468a47358e177d       hepatitis                      vaccines   \n",
              "7   66214e43d5468a47358e177e         typhoid   ofloxacin + Chloramphenicol   \n",
              "8   66214e43d5468a47358e177f         typhoid   ofloxacin + Chloramphenicol   \n",
              "9   66214e43d5468a47358e1780         typhoid   ofloxacin + Chloramphenicol   \n",
              "10  66214e43d5468a47358e1781  blood pressure                    amlodipine   \n",
              "11  66214e43d5468a47358e1782  blood pressure                    amlodipine   \n",
              "12  66214e44d5468a47358e1783  blood pressure                    amlodipine   \n",
              "13  66214e44d5468a47358e1784            covid                Azithromycin    \n",
              "14  66214e44d5468a47358e1785            covid                Azithromycin    \n",
              "15  66214e44d5468a47358e1786            covid                Azithromycin    \n",
              "16  66214e45d5468a47358e1787            covid                Azithromycin    \n",
              "17  66214e45d5468a47358e1788            covid                Azithromycin    \n",
              "18  66214e45d5468a47358e1789            covid                Azithromycin    \n",
              "19  66214e45d5468a47358e178a    eye pressure         tefluprost, nepafanac   \n",
              "20  66214e46d5468a47358e178b             cold                  Guaifenesin   \n",
              "21  66214e46d5468a47358e178c             cold                  Guaifenesin   \n",
              "22  66214e46d5468a47358e178d             cold                  Guaifenesin   \n",
              "23  66214e46d5468a47358e178e             cold                  Guaifenesin   \n",
              "24  66214e46d5468a47358e178f             cold                  Guaifenesin   \n",
              "25  66214e47d5468a47358e1790             cold                  Guaifenesin   \n",
              "26  66214e47d5468a47358e1791             cold                  Guaifenesin   \n",
              "27  66214e47d5468a47358e1792             cold                  Guaifenesin   \n",
              "28  66214e47d5468a47358e1793             cold                  Guaifenesin   \n",
              "29  66214e48d5468a47358e1794    constipation                          sena   \n",
              "30  66214e48d5468a47358e1795    constipation                          sena   \n",
              "31  66214e48d5468a47358e1796    constipation                          sena   \n",
              "32  66214e48d5468a47358e1797    constipation                          sena   \n",
              "33  66214e48d5468a47358e1798    constipation                          sena   \n",
              "34  66214e49d5468a47358e1799    constipation                          sena   \n",
              "35  66214e49d5468a47358e179a         acidity                    ranitidine   \n",
              "36  66214e49d5468a47358e179b              UTI                 norfloxacin    \n",
              "37  66214e49d5468a47358e179c          injury                 cephalosporin   \n",
              "38  66214e4ad5468a47358e179d        diabetes          glimipride+metformin   \n",
              "39  66214e4ad5468a47358e179e        diabetes         glimipride+metformin    \n",
              "40  66214e4ad5468a47358e179f  blood pressure                   amlodipine    \n",
              "41  66214e4ad5468a47358e17a0  blood pressure                   amlodipine    \n",
              "42  66214e4ad5468a47358e17a1        diabetes         glimipride+metformin    \n",
              "43  66214e4bd5468a47358e17a2              UTI                 norfloxacin    \n",
              "44  66214e4bd5468a47358e17a3         acidity                    rinatidine   \n",
              "45  66214e4bd5468a47358e17a4  skin infection                    cefalaxin    \n",
              "46  66214e4bd5468a47358e17a5            covid                Azithromycin    \n",
              "47  66214e4cd5468a47358e17a6         typhoid                    ofloxacin    \n",
              "48  66214e4cd5468a47358e17a7          malaria                 chloroquine    \n",
              "49  66214e4cd5468a47358e17a8          asthma                     albuterol   \n",
              "50  66214e4cd5468a47358e17a9     sore throat                 Azithromycin    \n",
              "51  66214e4dd5468a47358e17aa  blood pressure                   amlodipine    \n",
              "52  66214e4dd5468a47358e17ab       influenza                    quinolone    \n",
              "\n",
              "               doctorName     city pincode nextAppointment  refillDate  \\\n",
              "0                 Dr Arth   Indore  453331      2024-04-11  2024-04-12   \n",
              "1         Dr Mohit sharma   mumbai  453331      2024-04-19  2024-04-19   \n",
              "2                 pikachu   mumbai  453331      2024-04-17  2024-04-18   \n",
              "3            anant ambani   Indore  452004      2024-01-20  2024-01-20   \n",
              "4         janamejay singh   Indore  452004      2024-01-20  2024-01-20   \n",
              "5         janamejay singh   Indore  452004      2024-01-20  2024-01-20   \n",
              "6              arth gupta   Indore  452004      2024-01-20  2024-01-20   \n",
              "7              arth gupta   Indore  452004      2024-02-20  2024-02-20   \n",
              "8          kanishk rajput   Indore  452004      2024-03-20  2024-03-20   \n",
              "9           akash baghela   Indore  452004      2024-03-20  2024-03-20   \n",
              "10            Akshay sahu   Indore  452004      2024-01-20  2024-01-20   \n",
              "11       vrutika srivalli   Indore  452004      2024-02-20  2024-02-20   \n",
              "12            neha kakkar   kanpur  208002      2024-02-20  2024-02-20   \n",
              "13          mukesh ambani   kanpur  208002      2024-01-20  2024-01-20   \n",
              "14  ravindra nath tagore    kanpur  208002      2024-02-20  2024-02-20   \n",
              "15             atif aslam   kanpur  208002      2024-02-20  2024-02-20   \n",
              "16           Arijit singh   kanpur  208002      2024-02-20  2024-02-20   \n",
              "17            tony kakkar   kanpur  208002      2024-02-20  2024-02-20   \n",
              "18       Sandeep sisodiya   kanpur  208002      2024-02-20  2024-02-20   \n",
              "19    kishore ravichandra   rajkot  360005      2024-03-20  2024-03-20   \n",
              "20      George Washington   rajkot   36005      2024-01-20  2024-01-20   \n",
              "21             neha gupta   rajkot   36005      2024-02-20  2024-02-20   \n",
              "22           richa sharma   rajkot   36005      2024-02-20  2024-02-20   \n",
              "23    pratyusha banerjee    rajkot   36005      2024-03-20  2024-03-20   \n",
              "24          ishika sharma   rajkot   36005      2024-03-20  2024-03-20   \n",
              "25           Divya Joshi    rajkot   36005      2024-03-20  2024-03-20   \n",
              "26  harshita ratnaparkhee   rajkot   36005      2024-03-20  2024-03-20   \n",
              "27         ajeet wankhede   rajkot   36005      2024-03-20  2024-03-20   \n",
              "28            chhavi ojha   rajkot   36005      2024-03-20  2024-03-20   \n",
              "29           ayushi joshi    delhi  110001      2024-01-20  2024-01-20   \n",
              "30           ayush saxena    delhi  110001      2024-02-20  2024-02-20   \n",
              "31        diptanshu saini    delhi  110001      2024-02-20  2024-02-20   \n",
              "32             ravi kumar    delhi  110001      2024-03-20  2024-03-20   \n",
              "33           akash Joshi     delhi  110001      2024-03-20  2024-03-20   \n",
              "34            golu shukla    delhi  110001      2024-03-20  2024-03-20   \n",
              "35           Arijit singh   mumbai  400001      2024-03-20  2024-03-20   \n",
              "36     kishore choudhary    mumbai  400001      2024-01-20  2024-01-20   \n",
              "37   ravindra maheshwari    mumbai  400001      2024-03-20  2024-03-20   \n",
              "38        Mahendra dhoni   chennai  600001      2024-01-20  2024-01-20   \n",
              "39           Virat Kohli   chennai  600001      2024-02-20  2024-02-20   \n",
              "40          rahul gandhi   chennai  600001      2024-03-20  2024-03-20   \n",
              "41           rohit sharma  chennai  600001      2024-03-20  2024-03-20   \n",
              "42          shanky asati   chennai  600001      2024-03-20  2024-03-20   \n",
              "43           rohit jadhav  kolkata  700001      2024-01-20  2024-01-20   \n",
              "44           akash pillai  kolkata  700001      2024-03-20  2024-03-20   \n",
              "45              l.g gopal  kolkata  700001      2024-01-20  2024-01-20   \n",
              "46              k sunitha  kolkata  700001      2024-01-20  2024-01-20   \n",
              "47            suraj kairo     pune  410014      2024-01-20  2024-01-20   \n",
              "48    akash vijayvargiya      pune  410014      2024-01-20  2024-01-20   \n",
              "49         badshah mimrot     pune  410014      2024-01-20  2024-01-20   \n",
              "50          vandana tinku     pune  411005      2024-01-20  2024-01-20   \n",
              "51           akash Joshi      pune  411005      2024-01-20  2024-01-20   \n",
              "52          Arijit singh      pune  411005      2024-01-20  2024-01-20   \n",
              "\n",
              "   aadhaarNumber        date  __v  \n",
              "0   924993456216  2024-04-07  0.0  \n",
              "1   924993456216  2024-04-07  0.0  \n",
              "2   924993456216  2024-04-07  0.0  \n",
              "3   579238761492  2024-01-10  NaN  \n",
              "4   579238761492  2024-01-10  NaN  \n",
              "5   374529681923  2024-01-10  NaN  \n",
              "6   579238761492  2024-01-10  NaN  \n",
              "7   856491237142  2024-02-10  NaN  \n",
              "8   219784536578  2024-03-10  NaN  \n",
              "9   643291857412  2024-03-10  NaN  \n",
              "10  579238761492  2024-01-10  NaN  \n",
              "11  374529681923  2024-02-10  NaN  \n",
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              "17  749612385937  2024-02-10  NaN  \n",
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              "20  579238761492  2024-01-10  NaN  \n",
              "21  374529681923  2024-02-10  NaN  \n",
              "22  856491237142  2024-02-10  NaN  \n",
              "23  219784536578  2024-03-10  NaN  \n",
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              "25  643291857412  2024-03-10  NaN  \n",
              "26  928374561239  2024-03-10  NaN  \n",
              "27  928374561239  2024-03-10  NaN  \n",
              "28  483957126384  2024-03-10  NaN  \n",
              "29  579238761492  2024-01-10  NaN  \n",
              "30  374529681923  2024-02-10  NaN  \n",
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              "33  643291857412  2024-03-10  NaN  \n",
              "34  749612385937  2024-03-10  NaN  \n",
              "35  579238761492  2024-03-10  NaN  \n",
              "36  579238761492  2024-01-10  NaN  \n",
              "37  374529681923  2024-03-10  NaN  \n",
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            ],
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              "\n",
              "  <div id=\"df-b63be86d-4d54-4b71-8ef5-1761b4034173\" class=\"colab-df-container\">\n",
              "    <div>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>_id</th>\n",
              "      <th>diseaseName</th>\n",
              "      <th>medicineName</th>\n",
              "      <th>doctorName</th>\n",
              "      <th>city</th>\n",
              "      <th>pincode</th>\n",
              "      <th>nextAppointment</th>\n",
              "      <th>refillDate</th>\n",
              "      <th>aadhaarNumber</th>\n",
              "      <th>date</th>\n",
              "      <th>__v</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>66125b1b04af74b32f207547</td>\n",
              "      <td>headache</td>\n",
              "      <td>crocin</td>\n",
              "      <td>Dr Arth</td>\n",
              "      <td>Indore</td>\n",
              "      <td>453331</td>\n",
              "      <td>2024-04-11</td>\n",
              "      <td>2024-04-12</td>\n",
              "      <td>924993456216</td>\n",
              "      <td>2024-04-07</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>66125b9104af74b32f207557</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>alakazam</td>\n",
              "      <td>Dr Mohit sharma</td>\n",
              "      <td>mumbai</td>\n",
              "      <td>453331</td>\n",
              "      <td>2024-04-19</td>\n",
              "      <td>2024-04-19</td>\n",
              "      <td>924993456216</td>\n",
              "      <td>2024-04-07</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>66125bfd04af74b32f20755b</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>alakazam</td>\n",
              "      <td>pikachu</td>\n",
              "      <td>mumbai</td>\n",
              "      <td>453331</td>\n",
              "      <td>2024-04-17</td>\n",
              "      <td>2024-04-18</td>\n",
              "      <td>924993456216</td>\n",
              "      <td>2024-04-07</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>66214e40d5468a47358e177a</td>\n",
              "      <td>malaria</td>\n",
              "      <td>chloroquine</td>\n",
              "      <td>anant ambani</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>66214e42d5468a47358e177b</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin + Chloramphenicol</td>\n",
              "      <td>janamejay singh</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>66214e42d5468a47358e177c</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin + Chloramphenicol</td>\n",
              "      <td>janamejay singh</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>66214e42d5468a47358e177d</td>\n",
              "      <td>hepatitis</td>\n",
              "      <td>vaccines</td>\n",
              "      <td>arth gupta</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>66214e43d5468a47358e177e</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin + Chloramphenicol</td>\n",
              "      <td>arth gupta</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>856491237142</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>66214e43d5468a47358e177f</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin + Chloramphenicol</td>\n",
              "      <td>kanishk rajput</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>219784536578</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>66214e43d5468a47358e1780</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin + Chloramphenicol</td>\n",
              "      <td>akash baghela</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>643291857412</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>66214e43d5468a47358e1781</td>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>Akshay sahu</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>66214e43d5468a47358e1782</td>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>vrutika srivalli</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>66214e44d5468a47358e1783</td>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>neha kakkar</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>856491237142</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>66214e44d5468a47358e1784</td>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>mukesh ambani</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>66214e44d5468a47358e1785</td>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>ravindra nath tagore</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>66214e44d5468a47358e1786</td>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>atif aslam</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>856491237142</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>66214e45d5468a47358e1787</td>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>Arijit singh</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>219784536578</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>66214e45d5468a47358e1788</td>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>tony kakkar</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>749612385937</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>66214e45d5468a47358e1789</td>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>Sandeep sisodiya</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>643291857412</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>66214e45d5468a47358e178a</td>\n",
              "      <td>eye pressure</td>\n",
              "      <td>tefluprost, nepafanac</td>\n",
              "      <td>kishore ravichandra</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>360005</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>66214e46d5468a47358e178b</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>George Washington</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>66214e46d5468a47358e178c</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>neha gupta</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>66214e46d5468a47358e178d</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>richa sharma</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>856491237142</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>66214e46d5468a47358e178e</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>pratyusha banerjee</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>219784536578</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>66214e46d5468a47358e178f</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>ishika sharma</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>749612385937</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>66214e47d5468a47358e1790</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>Divya Joshi</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>643291857412</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>66214e47d5468a47358e1791</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>harshita ratnaparkhee</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>928374561239</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>66214e47d5468a47358e1792</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>ajeet wankhede</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>928374561239</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>66214e47d5468a47358e1793</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>chhavi ojha</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>483957126384</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>66214e48d5468a47358e1794</td>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>ayushi joshi</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>66214e48d5468a47358e1795</td>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>ayush saxena</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>66214e48d5468a47358e1796</td>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>diptanshu saini</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>856491237142</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>66214e48d5468a47358e1797</td>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>ravi kumar</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>219784536578</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>66214e48d5468a47358e1798</td>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>akash Joshi</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>643291857412</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>66214e49d5468a47358e1799</td>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>golu shukla</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>749612385937</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>66214e49d5468a47358e179a</td>\n",
              "      <td>acidity</td>\n",
              "      <td>ranitidine</td>\n",
              "      <td>Arijit singh</td>\n",
              "      <td>mumbai</td>\n",
              "      <td>400001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>66214e49d5468a47358e179b</td>\n",
              "      <td>UTI</td>\n",
              "      <td>norfloxacin</td>\n",
              "      <td>kishore choudhary</td>\n",
              "      <td>mumbai</td>\n",
              "      <td>400001</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>66214e49d5468a47358e179c</td>\n",
              "      <td>injury</td>\n",
              "      <td>cephalosporin</td>\n",
              "      <td>ravindra maheshwari</td>\n",
              "      <td>mumbai</td>\n",
              "      <td>400001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>66214e4ad5468a47358e179d</td>\n",
              "      <td>diabetes</td>\n",
              "      <td>glimipride+metformin</td>\n",
              "      <td>Mahendra dhoni</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>66214e4ad5468a47358e179e</td>\n",
              "      <td>diabetes</td>\n",
              "      <td>glimipride+metformin</td>\n",
              "      <td>Virat Kohli</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>66214e4ad5468a47358e179f</td>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>rahul gandhi</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>66214e4ad5468a47358e17a0</td>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>rohit sharma</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>66214e4ad5468a47358e17a1</td>\n",
              "      <td>diabetes</td>\n",
              "      <td>glimipride+metformin</td>\n",
              "      <td>shanky asati</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>66214e4bd5468a47358e17a2</td>\n",
              "      <td>UTI</td>\n",
              "      <td>norfloxacin</td>\n",
              "      <td>rohit jadhav</td>\n",
              "      <td>kolkata</td>\n",
              "      <td>700001</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>66214e4bd5468a47358e17a3</td>\n",
              "      <td>acidity</td>\n",
              "      <td>rinatidine</td>\n",
              "      <td>akash pillai</td>\n",
              "      <td>kolkata</td>\n",
              "      <td>700001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>856491237142</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>66214e4bd5468a47358e17a4</td>\n",
              "      <td>skin infection</td>\n",
              "      <td>cefalaxin</td>\n",
              "      <td>l.g gopal</td>\n",
              "      <td>kolkata</td>\n",
              "      <td>700001</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>66214e4bd5468a47358e17a5</td>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>k sunitha</td>\n",
              "      <td>kolkata</td>\n",
              "      <td>700001</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>856491237142</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>66214e4cd5468a47358e17a6</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin</td>\n",
              "      <td>suraj kairo</td>\n",
              "      <td>pune</td>\n",
              "      <td>410014</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>66214e4cd5468a47358e17a7</td>\n",
              "      <td>malaria</td>\n",
              "      <td>chloroquine</td>\n",
              "      <td>akash vijayvargiya</td>\n",
              "      <td>pune</td>\n",
              "      <td>410014</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>66214e4cd5468a47358e17a8</td>\n",
              "      <td>asthma</td>\n",
              "      <td>albuterol</td>\n",
              "      <td>badshah mimrot</td>\n",
              "      <td>pune</td>\n",
              "      <td>410014</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>219784536578</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>66214e4cd5468a47358e17a9</td>\n",
              "      <td>sore throat</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>vandana tinku</td>\n",
              "      <td>pune</td>\n",
              "      <td>411005</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>219784536578</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>66214e4dd5468a47358e17aa</td>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>akash Joshi</td>\n",
              "      <td>pune</td>\n",
              "      <td>411005</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>219784536578</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>66214e4dd5468a47358e17ab</td>\n",
              "      <td>influenza</td>\n",
              "      <td>quinolone</td>\n",
              "      <td>Arijit singh</td>\n",
              "      <td>pune</td>\n",
              "      <td>411005</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>219784536578</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "\n",
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              "      const quickchartButtonEl =\n",
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              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "type": "dataframe",
              "variable_name": "data_table",
              "summary": "{\n  \"name\": \"data_table\",\n  \"rows\": 53,\n  \"fields\": [\n    {\n      \"column\": \"_id\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 53,\n        \"samples\": [\n          \"66214e45d5468a47358e178a\",\n          \"66214e4ad5468a47358e17a0\",\n          \"66214e4cd5468a47358e17a6\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"diseaseName\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 18,\n        \"samples\": [\n          \"headache\",\n          \"typhoid\",\n          \"cold\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"medicineName\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 21,\n        \"samples\": [\n          \"crocin\",\n          \"cefalaxin \",\n          \"amlodipine \"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"doctorName\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 49,\n        \"samples\": [\n          \"atif aslam\",\n          \"akash vijayvargiya \",\n          \"vandana tinku\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"city\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 8,\n        \"samples\": [\n          \"mumbai\",\n          \"chennai\",\n          \"Indore\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"pincode\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 11,\n        \"samples\": [\n          110001,\n          \"453331\",\n          410014\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"nextAppointment\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"2024-04-11\",\n          \"2024-04-19\",\n          \"2024-03-20\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"refillDate\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"2024-04-12\",\n          \"2024-04-19\",\n          \"2024-03-20\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"aadhaarNumber\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 9,\n        \"samples\": [\n          928374561239,\n          579238761492,\n          643291857412\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"2024-01-10\",\n          \"2024-03-10\",\n          \"2024-04-07\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"__v\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 0.0,\n        \"max\": 0.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_table"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "gJq_T6r0o0H-",
        "outputId": "b276dd85-55a3-4770-d4d9-5379e596463c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                         _id      diseaseName                 medicineName  \\\n",
              "0   66125b1b04af74b32f207547         headache                       crocin   \n",
              "1   66125b9104af74b32f207557          typhoid                     alakazam   \n",
              "2   66125bfd04af74b32f20755b          typhoid                     alakazam   \n",
              "3   66214e40d5468a47358e177a          malaria                 chloroquine    \n",
              "4   66214e42d5468a47358e177b         typhoid   ofloxacin + Chloramphenicol   \n",
              "5   66214e42d5468a47358e177c         typhoid   ofloxacin + Chloramphenicol   \n",
              "6   66214e42d5468a47358e177d       hepatitis                      vaccines   \n",
              "7   66214e43d5468a47358e177e         typhoid   ofloxacin + Chloramphenicol   \n",
              "8   66214e43d5468a47358e177f         typhoid   ofloxacin + Chloramphenicol   \n",
              "9   66214e43d5468a47358e1780         typhoid   ofloxacin + Chloramphenicol   \n",
              "10  66214e43d5468a47358e1781  blood pressure                    amlodipine   \n",
              "11  66214e43d5468a47358e1782  blood pressure                    amlodipine   \n",
              "12  66214e44d5468a47358e1783  blood pressure                    amlodipine   \n",
              "13  66214e44d5468a47358e1784            covid                Azithromycin    \n",
              "14  66214e44d5468a47358e1785            covid                Azithromycin    \n",
              "15  66214e44d5468a47358e1786            covid                Azithromycin    \n",
              "16  66214e45d5468a47358e1787            covid                Azithromycin    \n",
              "17  66214e45d5468a47358e1788            covid                Azithromycin    \n",
              "18  66214e45d5468a47358e1789            covid                Azithromycin    \n",
              "19  66214e45d5468a47358e178a    eye pressure         tefluprost, nepafanac   \n",
              "20  66214e46d5468a47358e178b             cold                  Guaifenesin   \n",
              "21  66214e46d5468a47358e178c             cold                  Guaifenesin   \n",
              "22  66214e46d5468a47358e178d             cold                  Guaifenesin   \n",
              "23  66214e46d5468a47358e178e             cold                  Guaifenesin   \n",
              "24  66214e46d5468a47358e178f             cold                  Guaifenesin   \n",
              "25  66214e47d5468a47358e1790             cold                  Guaifenesin   \n",
              "26  66214e47d5468a47358e1791             cold                  Guaifenesin   \n",
              "27  66214e47d5468a47358e1792             cold                  Guaifenesin   \n",
              "28  66214e47d5468a47358e1793             cold                  Guaifenesin   \n",
              "29  66214e48d5468a47358e1794    constipation                          sena   \n",
              "30  66214e48d5468a47358e1795    constipation                          sena   \n",
              "31  66214e48d5468a47358e1796    constipation                          sena   \n",
              "32  66214e48d5468a47358e1797    constipation                          sena   \n",
              "33  66214e48d5468a47358e1798    constipation                          sena   \n",
              "34  66214e49d5468a47358e1799    constipation                          sena   \n",
              "35  66214e49d5468a47358e179a         acidity                    ranitidine   \n",
              "36  66214e49d5468a47358e179b              UTI                 norfloxacin    \n",
              "37  66214e49d5468a47358e179c          injury                 cephalosporin   \n",
              "38  66214e4ad5468a47358e179d        diabetes          glimipride+metformin   \n",
              "39  66214e4ad5468a47358e179e        diabetes         glimipride+metformin    \n",
              "40  66214e4ad5468a47358e179f  blood pressure                   amlodipine    \n",
              "41  66214e4ad5468a47358e17a0  blood pressure                   amlodipine    \n",
              "42  66214e4ad5468a47358e17a1        diabetes         glimipride+metformin    \n",
              "43  66214e4bd5468a47358e17a2              UTI                 norfloxacin    \n",
              "44  66214e4bd5468a47358e17a3         acidity                    rinatidine   \n",
              "45  66214e4bd5468a47358e17a4  skin infection                    cefalaxin    \n",
              "46  66214e4bd5468a47358e17a5            covid                Azithromycin    \n",
              "47  66214e4cd5468a47358e17a6         typhoid                    ofloxacin    \n",
              "48  66214e4cd5468a47358e17a7          malaria                 chloroquine    \n",
              "49  66214e4cd5468a47358e17a8          asthma                     albuterol   \n",
              "50  66214e4cd5468a47358e17a9     sore throat                 Azithromycin    \n",
              "51  66214e4dd5468a47358e17aa  blood pressure                   amlodipine    \n",
              "52  66214e4dd5468a47358e17ab       influenza                    quinolone    \n",
              "\n",
              "               doctorName     city pincode nextAppointment  refillDate  \\\n",
              "0                 Dr Arth   Indore  453331      2024-04-11  2024-04-12   \n",
              "1         Dr Mohit sharma   mumbai  453331      2024-04-19  2024-04-19   \n",
              "2                 pikachu   mumbai  453331      2024-04-17  2024-04-18   \n",
              "3            anant ambani   Indore  452004      2024-01-20  2024-01-20   \n",
              "4         janamejay singh   Indore  452004      2024-01-20  2024-01-20   \n",
              "5         janamejay singh   Indore  452004      2024-01-20  2024-01-20   \n",
              "6              arth gupta   Indore  452004      2024-01-20  2024-01-20   \n",
              "7              arth gupta   Indore  452004      2024-02-20  2024-02-20   \n",
              "8          kanishk rajput   Indore  452004      2024-03-20  2024-03-20   \n",
              "9           akash baghela   Indore  452004      2024-03-20  2024-03-20   \n",
              "10            Akshay sahu   Indore  452004      2024-01-20  2024-01-20   \n",
              "11       vrutika srivalli   Indore  452004      2024-02-20  2024-02-20   \n",
              "12            neha kakkar   kanpur  208002      2024-02-20  2024-02-20   \n",
              "13          mukesh ambani   kanpur  208002      2024-01-20  2024-01-20   \n",
              "14  ravindra nath tagore    kanpur  208002      2024-02-20  2024-02-20   \n",
              "15             atif aslam   kanpur  208002      2024-02-20  2024-02-20   \n",
              "16           Arijit singh   kanpur  208002      2024-02-20  2024-02-20   \n",
              "17            tony kakkar   kanpur  208002      2024-02-20  2024-02-20   \n",
              "18       Sandeep sisodiya   kanpur  208002      2024-02-20  2024-02-20   \n",
              "19    kishore ravichandra   rajkot  360005      2024-03-20  2024-03-20   \n",
              "20      George Washington   rajkot   36005      2024-01-20  2024-01-20   \n",
              "21             neha gupta   rajkot   36005      2024-02-20  2024-02-20   \n",
              "22           richa sharma   rajkot   36005      2024-02-20  2024-02-20   \n",
              "23    pratyusha banerjee    rajkot   36005      2024-03-20  2024-03-20   \n",
              "24          ishika sharma   rajkot   36005      2024-03-20  2024-03-20   \n",
              "25           Divya Joshi    rajkot   36005      2024-03-20  2024-03-20   \n",
              "26  harshita ratnaparkhee   rajkot   36005      2024-03-20  2024-03-20   \n",
              "27         ajeet wankhede   rajkot   36005      2024-03-20  2024-03-20   \n",
              "28            chhavi ojha   rajkot   36005      2024-03-20  2024-03-20   \n",
              "29           ayushi joshi    delhi  110001      2024-01-20  2024-01-20   \n",
              "30           ayush saxena    delhi  110001      2024-02-20  2024-02-20   \n",
              "31        diptanshu saini    delhi  110001      2024-02-20  2024-02-20   \n",
              "32             ravi kumar    delhi  110001      2024-03-20  2024-03-20   \n",
              "33           akash Joshi     delhi  110001      2024-03-20  2024-03-20   \n",
              "34            golu shukla    delhi  110001      2024-03-20  2024-03-20   \n",
              "35           Arijit singh   mumbai  400001      2024-03-20  2024-03-20   \n",
              "36     kishore choudhary    mumbai  400001      2024-01-20  2024-01-20   \n",
              "37   ravindra maheshwari    mumbai  400001      2024-03-20  2024-03-20   \n",
              "38        Mahendra dhoni   chennai  600001      2024-01-20  2024-01-20   \n",
              "39           Virat Kohli   chennai  600001      2024-02-20  2024-02-20   \n",
              "40          rahul gandhi   chennai  600001      2024-03-20  2024-03-20   \n",
              "41           rohit sharma  chennai  600001      2024-03-20  2024-03-20   \n",
              "42          shanky asati   chennai  600001      2024-03-20  2024-03-20   \n",
              "43           rohit jadhav  kolkata  700001      2024-01-20  2024-01-20   \n",
              "44           akash pillai  kolkata  700001      2024-03-20  2024-03-20   \n",
              "45              l.g gopal  kolkata  700001      2024-01-20  2024-01-20   \n",
              "46              k sunitha  kolkata  700001      2024-01-20  2024-01-20   \n",
              "47            suraj kairo     pune  410014      2024-01-20  2024-01-20   \n",
              "48    akash vijayvargiya      pune  410014      2024-01-20  2024-01-20   \n",
              "49         badshah mimrot     pune  410014      2024-01-20  2024-01-20   \n",
              "50          vandana tinku     pune  411005      2024-01-20  2024-01-20   \n",
              "51           akash Joshi      pune  411005      2024-01-20  2024-01-20   \n",
              "52          Arijit singh      pune  411005      2024-01-20  2024-01-20   \n",
              "\n",
              "   aadhaarNumber        date  __v  \n",
              "0   924993456216  2024-04-07  0.0  \n",
              "1   924993456216  2024-04-07  0.0  \n",
              "2   924993456216  2024-04-07  0.0  \n",
              "3   579238761492  2024-01-10  NaN  \n",
              "4   579238761492  2024-01-10  NaN  \n",
              "5   374529681923  2024-01-10  NaN  \n",
              "6   579238761492  2024-01-10  NaN  \n",
              "7   856491237142  2024-02-10  NaN  \n",
              "8   219784536578  2024-03-10  NaN  \n",
              "9   643291857412  2024-03-10  NaN  \n",
              "10  579238761492  2024-01-10  NaN  \n",
              "11  374529681923  2024-02-10  NaN  \n",
              "12  856491237142  2024-02-10  NaN  \n",
              "13  579238761492  2024-01-10  NaN  \n",
              "14  374529681923  2024-02-10  NaN  \n",
              "15  856491237142  2024-02-10  NaN  \n",
              "16  219784536578  2024-02-10  NaN  \n",
              "17  749612385937  2024-02-10  NaN  \n",
              "18  643291857412  2024-02-10  NaN  \n",
              "19  579238761492  2024-03-10  NaN  \n",
              "20  579238761492  2024-01-10  NaN  \n",
              "21  374529681923  2024-02-10  NaN  \n",
              "22  856491237142  2024-02-10  NaN  \n",
              "23  219784536578  2024-03-10  NaN  \n",
              "24  749612385937  2024-03-10  NaN  \n",
              "25  643291857412  2024-03-10  NaN  \n",
              "26  928374561239  2024-03-10  NaN  \n",
              "27  928374561239  2024-03-10  NaN  \n",
              "28  483957126384  2024-03-10  NaN  \n",
              "29  579238761492  2024-01-10  NaN  \n",
              "30  374529681923  2024-02-10  NaN  \n",
              "31  856491237142  2024-02-10  NaN  \n",
              "32  219784536578  2024-03-10  NaN  \n",
              "33  643291857412  2024-03-10  NaN  \n",
              "34  749612385937  2024-03-10  NaN  \n",
              "35  579238761492  2024-03-10  NaN  \n",
              "36  579238761492  2024-01-10  NaN  \n",
              "37  374529681923  2024-03-10  NaN  \n",
              "38  579238761492  2024-01-10  NaN  \n",
              "39  374529681923  2024-02-10  NaN  \n",
              "40  374529681923  2024-03-10  NaN  \n",
              "41  579238761492  2024-03-10  NaN  \n",
              "42  579238761492  2024-03-10  NaN  \n",
              "43  579238761492  2024-01-10  NaN  \n",
              "44  856491237142  2024-03-10  NaN  \n",
              "45  374529681923  2024-01-10  NaN  \n",
              "46  856491237142  2024-01-10  NaN  \n",
              "47  374529681923  2024-01-10  NaN  \n",
              "48  374529681923  2024-01-10  NaN  \n",
              "49  219784536578  2024-01-10  NaN  \n",
              "50  219784536578  2024-01-10  NaN  \n",
              "51  219784536578  2024-01-10  NaN  \n",
              "52  219784536578  2024-01-10  NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-86b99d0b-9e0a-448d-bc8d-76727f19a4f9\" class=\"colab-df-container\">\n",
              "    <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>_id</th>\n",
              "      <th>diseaseName</th>\n",
              "      <th>medicineName</th>\n",
              "      <th>doctorName</th>\n",
              "      <th>city</th>\n",
              "      <th>pincode</th>\n",
              "      <th>nextAppointment</th>\n",
              "      <th>refillDate</th>\n",
              "      <th>aadhaarNumber</th>\n",
              "      <th>date</th>\n",
              "      <th>__v</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>66125b1b04af74b32f207547</td>\n",
              "      <td>headache</td>\n",
              "      <td>crocin</td>\n",
              "      <td>Dr Arth</td>\n",
              "      <td>Indore</td>\n",
              "      <td>453331</td>\n",
              "      <td>2024-04-11</td>\n",
              "      <td>2024-04-12</td>\n",
              "      <td>924993456216</td>\n",
              "      <td>2024-04-07</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>66125b9104af74b32f207557</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>alakazam</td>\n",
              "      <td>Dr Mohit sharma</td>\n",
              "      <td>mumbai</td>\n",
              "      <td>453331</td>\n",
              "      <td>2024-04-19</td>\n",
              "      <td>2024-04-19</td>\n",
              "      <td>924993456216</td>\n",
              "      <td>2024-04-07</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>66125bfd04af74b32f20755b</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>alakazam</td>\n",
              "      <td>pikachu</td>\n",
              "      <td>mumbai</td>\n",
              "      <td>453331</td>\n",
              "      <td>2024-04-17</td>\n",
              "      <td>2024-04-18</td>\n",
              "      <td>924993456216</td>\n",
              "      <td>2024-04-07</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>66214e40d5468a47358e177a</td>\n",
              "      <td>malaria</td>\n",
              "      <td>chloroquine</td>\n",
              "      <td>anant ambani</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>66214e42d5468a47358e177b</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin + Chloramphenicol</td>\n",
              "      <td>janamejay singh</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>66214e42d5468a47358e177c</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin + Chloramphenicol</td>\n",
              "      <td>janamejay singh</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>66214e42d5468a47358e177d</td>\n",
              "      <td>hepatitis</td>\n",
              "      <td>vaccines</td>\n",
              "      <td>arth gupta</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>66214e43d5468a47358e177e</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin + Chloramphenicol</td>\n",
              "      <td>arth gupta</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>856491237142</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>66214e43d5468a47358e177f</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin + Chloramphenicol</td>\n",
              "      <td>kanishk rajput</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>219784536578</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>66214e43d5468a47358e1780</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin + Chloramphenicol</td>\n",
              "      <td>akash baghela</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>643291857412</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>66214e43d5468a47358e1781</td>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>Akshay sahu</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>66214e43d5468a47358e1782</td>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>vrutika srivalli</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>66214e44d5468a47358e1783</td>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>neha kakkar</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>856491237142</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>66214e44d5468a47358e1784</td>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>mukesh ambani</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>66214e44d5468a47358e1785</td>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>ravindra nath tagore</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>66214e44d5468a47358e1786</td>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>atif aslam</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>856491237142</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>66214e45d5468a47358e1787</td>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>Arijit singh</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>219784536578</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>66214e45d5468a47358e1788</td>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>tony kakkar</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>749612385937</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>66214e45d5468a47358e1789</td>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>Sandeep sisodiya</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>643291857412</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>66214e45d5468a47358e178a</td>\n",
              "      <td>eye pressure</td>\n",
              "      <td>tefluprost, nepafanac</td>\n",
              "      <td>kishore ravichandra</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>360005</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>66214e46d5468a47358e178b</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>George Washington</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>66214e46d5468a47358e178c</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>neha gupta</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>66214e46d5468a47358e178d</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>richa sharma</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>856491237142</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>66214e46d5468a47358e178e</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>pratyusha banerjee</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>219784536578</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>66214e46d5468a47358e178f</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>ishika sharma</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>749612385937</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>66214e47d5468a47358e1790</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>Divya Joshi</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>643291857412</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>66214e47d5468a47358e1791</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>harshita ratnaparkhee</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>928374561239</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>66214e47d5468a47358e1792</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>ajeet wankhede</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>928374561239</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>66214e47d5468a47358e1793</td>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>chhavi ojha</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>483957126384</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>66214e48d5468a47358e1794</td>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>ayushi joshi</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>66214e48d5468a47358e1795</td>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>ayush saxena</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>66214e48d5468a47358e1796</td>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>diptanshu saini</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>856491237142</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>66214e48d5468a47358e1797</td>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>ravi kumar</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>219784536578</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>66214e48d5468a47358e1798</td>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>akash Joshi</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>643291857412</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>66214e49d5468a47358e1799</td>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>golu shukla</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>749612385937</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>66214e49d5468a47358e179a</td>\n",
              "      <td>acidity</td>\n",
              "      <td>ranitidine</td>\n",
              "      <td>Arijit singh</td>\n",
              "      <td>mumbai</td>\n",
              "      <td>400001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>66214e49d5468a47358e179b</td>\n",
              "      <td>UTI</td>\n",
              "      <td>norfloxacin</td>\n",
              "      <td>kishore choudhary</td>\n",
              "      <td>mumbai</td>\n",
              "      <td>400001</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>66214e49d5468a47358e179c</td>\n",
              "      <td>injury</td>\n",
              "      <td>cephalosporin</td>\n",
              "      <td>ravindra maheshwari</td>\n",
              "      <td>mumbai</td>\n",
              "      <td>400001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>66214e4ad5468a47358e179d</td>\n",
              "      <td>diabetes</td>\n",
              "      <td>glimipride+metformin</td>\n",
              "      <td>Mahendra dhoni</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>66214e4ad5468a47358e179e</td>\n",
              "      <td>diabetes</td>\n",
              "      <td>glimipride+metformin</td>\n",
              "      <td>Virat Kohli</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>66214e4ad5468a47358e179f</td>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>rahul gandhi</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>66214e4ad5468a47358e17a0</td>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>rohit sharma</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>66214e4ad5468a47358e17a1</td>\n",
              "      <td>diabetes</td>\n",
              "      <td>glimipride+metformin</td>\n",
              "      <td>shanky asati</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>66214e4bd5468a47358e17a2</td>\n",
              "      <td>UTI</td>\n",
              "      <td>norfloxacin</td>\n",
              "      <td>rohit jadhav</td>\n",
              "      <td>kolkata</td>\n",
              "      <td>700001</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>66214e4bd5468a47358e17a3</td>\n",
              "      <td>acidity</td>\n",
              "      <td>rinatidine</td>\n",
              "      <td>akash pillai</td>\n",
              "      <td>kolkata</td>\n",
              "      <td>700001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>856491237142</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>66214e4bd5468a47358e17a4</td>\n",
              "      <td>skin infection</td>\n",
              "      <td>cefalaxin</td>\n",
              "      <td>l.g gopal</td>\n",
              "      <td>kolkata</td>\n",
              "      <td>700001</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>66214e4bd5468a47358e17a5</td>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>k sunitha</td>\n",
              "      <td>kolkata</td>\n",
              "      <td>700001</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>856491237142</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>66214e4cd5468a47358e17a6</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin</td>\n",
              "      <td>suraj kairo</td>\n",
              "      <td>pune</td>\n",
              "      <td>410014</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>66214e4cd5468a47358e17a7</td>\n",
              "      <td>malaria</td>\n",
              "      <td>chloroquine</td>\n",
              "      <td>akash vijayvargiya</td>\n",
              "      <td>pune</td>\n",
              "      <td>410014</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>66214e4cd5468a47358e17a8</td>\n",
              "      <td>asthma</td>\n",
              "      <td>albuterol</td>\n",
              "      <td>badshah mimrot</td>\n",
              "      <td>pune</td>\n",
              "      <td>410014</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>219784536578</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>66214e4cd5468a47358e17a9</td>\n",
              "      <td>sore throat</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>vandana tinku</td>\n",
              "      <td>pune</td>\n",
              "      <td>411005</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>219784536578</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>66214e4dd5468a47358e17aa</td>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>akash Joshi</td>\n",
              "      <td>pune</td>\n",
              "      <td>411005</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>219784536578</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>66214e4dd5468a47358e17ab</td>\n",
              "      <td>influenza</td>\n",
              "      <td>quinolone</td>\n",
              "      <td>Arijit singh</td>\n",
              "      <td>pune</td>\n",
              "      <td>411005</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>219784536578</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "\n",
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              "\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
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              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
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              "\n",
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              "\n",
              "      .colab-df-generate:hover {\n",
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              "            style=\"display:none;\">\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data_table",
              "summary": "{\n  \"name\": \"data_table\",\n  \"rows\": 53,\n  \"fields\": [\n    {\n      \"column\": \"_id\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 53,\n        \"samples\": [\n          \"66214e45d5468a47358e178a\",\n          \"66214e4ad5468a47358e17a0\",\n          \"66214e4cd5468a47358e17a6\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"diseaseName\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 18,\n        \"samples\": [\n          \"headache\",\n          \"typhoid\",\n          \"cold\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"medicineName\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 21,\n        \"samples\": [\n          \"crocin\",\n          \"cefalaxin \",\n          \"amlodipine \"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"doctorName\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 49,\n        \"samples\": [\n          \"atif aslam\",\n          \"akash vijayvargiya \",\n          \"vandana tinku\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"city\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 8,\n        \"samples\": [\n          \"mumbai\",\n          \"chennai\",\n          \"Indore\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"pincode\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 11,\n        \"samples\": [\n          110001,\n          \"453331\",\n          410014\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"nextAppointment\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"2024-04-11\",\n          \"2024-04-19\",\n          \"2024-03-20\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"refillDate\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"2024-04-12\",\n          \"2024-04-19\",\n          \"2024-03-20\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"aadhaarNumber\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 9,\n        \"samples\": [\n          928374561239,\n          579238761492,\n          643291857412\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"2024-01-10\",\n          \"2024-03-10\",\n          \"2024-04-07\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"__v\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 0.0,\n        \"max\": 0.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1 = pd.read_csv(\"/content/drive/MyDrive/Colab Notebooks/healthmate-data.csv\")"
      ],
      "metadata": {
        "id": "DETlzoyspAD1",
        "outputId": "0c8a74d8-0b00-4500-db66-c159f13efa81",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 141
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "NameError",
          "evalue": "name 'pd' is not defined",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-1-698e7564f55c>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"/content/drive/MyDrive/Colab Notebooks/healthmate-data.csv\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "Epk9mqhVECm_",
        "outputId": "0fcb632a-4148-48e9-a1da-be953b2ea706"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        diseaseName                 medicineName             doctorName  \\\n",
              "0           malaria                 chloroquine            anant ambani   \n",
              "1          typhoid   ofloxacin + Chloramphenicol        janamejay singh   \n",
              "2          typhoid   ofloxacin + Chloramphenicol        janamejay singh   \n",
              "3        hepatitis                      vaccines             arth gupta   \n",
              "4          typhoid   ofloxacin + Chloramphenicol             arth gupta   \n",
              "5          typhoid   ofloxacin + Chloramphenicol         kanishk rajput   \n",
              "6          typhoid   ofloxacin + Chloramphenicol          akash baghela   \n",
              "7   blood pressure                    amlodipine            Akshay sahu   \n",
              "8   blood pressure                    amlodipine       vrutika srivalli   \n",
              "9   blood pressure                    amlodipine            neha kakkar   \n",
              "10            covid                Azithromycin           mukesh ambani   \n",
              "11            covid                Azithromycin   ravindra nath tagore    \n",
              "12            covid                Azithromycin              atif aslam   \n",
              "13            covid                Azithromycin            Arijit singh   \n",
              "14            covid                Azithromycin             tony kakkar   \n",
              "15            covid                Azithromycin        Sandeep sisodiya   \n",
              "16    eye pressure         tefluprost, nepafanac    kishore ravichandra   \n",
              "17             cold                  Guaifenesin      George Washington   \n",
              "18             cold                  Guaifenesin             neha gupta   \n",
              "19             cold                  Guaifenesin           richa sharma   \n",
              "20             cold                  Guaifenesin    pratyusha banerjee    \n",
              "21             cold                  Guaifenesin          ishika sharma   \n",
              "22             cold                  Guaifenesin           Divya Joshi    \n",
              "23             cold                  Guaifenesin  harshita ratnaparkhee   \n",
              "24             cold                  Guaifenesin         ajeet wankhede   \n",
              "25             cold                  Guaifenesin            chhavi ojha   \n",
              "26    constipation                          sena           ayushi joshi   \n",
              "27    constipation                          sena           ayush saxena   \n",
              "28    constipation                          sena        diptanshu saini   \n",
              "29    constipation                          sena             ravi kumar   \n",
              "30    constipation                          sena           akash Joshi    \n",
              "31    constipation                          sena            golu shukla   \n",
              "32         acidity                    ranitidine           Arijit singh   \n",
              "33              UTI                 norfloxacin      kishore choudhary    \n",
              "34          injury                 cephalosporin   ravindra maheshwari    \n",
              "35        diabetes          glimipride+metformin        Mahendra dhoni    \n",
              "36        diabetes         glimipride+metformin            Virat Kohli    \n",
              "37  blood pressure                   amlodipine           rahul gandhi    \n",
              "38  blood pressure                   amlodipine            rohit sharma   \n",
              "39        diabetes         glimipride+metformin           shanky asati    \n",
              "40              UTI                 norfloxacin            rohit jadhav   \n",
              "41         acidity                    rinatidine           akash pillai   \n",
              "42  skin infection                    cefalaxin               l.g gopal   \n",
              "43            covid                Azithromycin               k sunitha   \n",
              "44         typhoid                    ofloxacin             suraj kairo   \n",
              "45          malaria                 chloroquine     akash vijayvargiya    \n",
              "46          asthma                     albuterol         badshah mimrot   \n",
              "47     sore throat                 Azithromycin           vandana tinku   \n",
              "48  blood pressure                   amlodipine            akash Joshi    \n",
              "49       influenza                    quinolone           Arijit singh    \n",
              "\n",
              "       city  pincode        date nextAppointment  refillDate  aadhaarNumber  \n",
              "0    Indore   452004  2024-01-10      2024-01-20  2024-01-20   579238761492  \n",
              "1    Indore   452004  2024-01-10      2024-01-20  2024-01-20   579238761492  \n",
              "2    Indore   452004  2024-01-10      2024-01-20  2024-01-20   374529681923  \n",
              "3    Indore   452004  2024-01-10      2024-01-20  2024-01-20   579238761492  \n",
              "4    Indore   452004  2024-02-10      2024-02-20  2024-02-20   856491237142  \n",
              "5    Indore   452004  2024-03-10      2024-03-20  2024-03-20   219784536578  \n",
              "6    Indore   452004  2024-03-10      2024-03-20  2024-03-20   643291857412  \n",
              "7    Indore   452004  2024-01-10      2024-01-20  2024-01-20   579238761492  \n",
              "8    Indore   452004  2024-02-10      2024-02-20  2024-02-20   374529681923  \n",
              "9    kanpur   208002  2024-02-10      2024-02-20  2024-02-20   856491237142  \n",
              "10   kanpur   208002  2024-01-10      2024-01-20  2024-01-20   579238761492  \n",
              "11   kanpur   208002  2024-02-10      2024-02-20  2024-02-20   374529681923  \n",
              "12   kanpur   208002  2024-02-10      2024-02-20  2024-02-20   856491237142  \n",
              "13   kanpur   208002  2024-02-10      2024-02-20  2024-02-20   219784536578  \n",
              "14   kanpur   208002  2024-02-10      2024-02-20  2024-02-20   749612385937  \n",
              "15   kanpur   208002  2024-02-10      2024-02-20  2024-02-20   643291857412  \n",
              "16   rajkot   360005  2024-03-10      2024-03-20  2024-03-20   579238761492  \n",
              "17   rajkot    36005  2024-01-10      2024-01-20  2024-01-20   579238761492  \n",
              "18   rajkot    36005  2024-02-10      2024-02-20  2024-02-20   374529681923  \n",
              "19   rajkot    36005  2024-02-10      2024-02-20  2024-02-20   856491237142  \n",
              "20   rajkot    36005  2024-03-10      2024-03-20  2024-03-20   219784536578  \n",
              "21   rajkot    36005  2024-03-10      2024-03-20  2024-03-20   749612385937  \n",
              "22   rajkot    36005  2024-03-10      2024-03-20  2024-03-20   643291857412  \n",
              "23   rajkot    36005  2024-03-10      2024-03-20  2024-03-20   928374561239  \n",
              "24   rajkot    36005  2024-03-10      2024-03-20  2024-03-20   928374561239  \n",
              "25   rajkot    36005  2024-03-10      2024-03-20  2024-03-20   483957126384  \n",
              "26    delhi   110001  2024-01-10      2024-01-20  2024-01-20   579238761492  \n",
              "27    delhi   110001  2024-02-10      2024-02-20  2024-02-20   374529681923  \n",
              "28    delhi   110001  2024-02-10      2024-02-20  2024-02-20   856491237142  \n",
              "29    delhi   110001  2024-03-10      2024-03-20  2024-03-20   219784536578  \n",
              "30    delhi   110001  2024-03-10      2024-03-20  2024-03-20   643291857412  \n",
              "31    delhi   110001  2024-03-10      2024-03-20  2024-03-20   749612385937  \n",
              "32   mumbai   400001  2024-03-10      2024-03-20  2024-03-20   579238761492  \n",
              "33   mumbai   400001  2024-01-10      2024-01-20  2024-01-20   579238761492  \n",
              "34   mumbai   400001  2024-03-10      2024-03-20  2024-03-20   374529681923  \n",
              "35  chennai   600001  2024-01-10      2024-01-20  2024-01-20   579238761492  \n",
              "36  chennai   600001  2024-02-10      2024-02-20  2024-02-20   374529681923  \n",
              "37  chennai   600001  2024-03-10      2024-03-20  2024-03-20   374529681923  \n",
              "38  chennai   600001  2024-03-10      2024-03-20  2024-03-20   579238761492  \n",
              "39  chennai   600001  2024-03-10      2024-03-20  2024-03-20   579238761492  \n",
              "40  kolkata   700001  2024-01-10      2024-01-20  2024-01-20   579238761492  \n",
              "41  kolkata   700001  2024-03-10      2024-03-20  2024-03-20   856491237142  \n",
              "42  kolkata   700001  2024-01-10      2024-01-20  2024-01-20   374529681923  \n",
              "43  kolkata   700001  2024-01-10      2024-01-20  2024-01-20   856491237142  \n",
              "44     pune   410014  2024-01-10      2024-01-20  2024-01-20   374529681923  \n",
              "45     pune   410014  2024-01-10      2024-01-20  2024-01-20   374529681923  \n",
              "46     pune   410014  2024-01-10      2024-01-20  2024-01-20   219784536578  \n",
              "47     pune   411005  2024-01-10      2024-01-20  2024-01-20   219784536578  \n",
              "48     pune   411005  2024-01-10      2024-01-20  2024-01-20   219784536578  \n",
              "49     pune   411005  2024-01-10      2024-01-20  2024-01-20   219784536578  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-eb596024-e6e7-4fb5-9da4-adf505f534d0\" class=\"colab-df-container\">\n",
              "    <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>diseaseName</th>\n",
              "      <th>medicineName</th>\n",
              "      <th>doctorName</th>\n",
              "      <th>city</th>\n",
              "      <th>pincode</th>\n",
              "      <th>date</th>\n",
              "      <th>nextAppointment</th>\n",
              "      <th>refillDate</th>\n",
              "      <th>aadhaarNumber</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>malaria</td>\n",
              "      <td>chloroquine</td>\n",
              "      <td>anant ambani</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin + Chloramphenicol</td>\n",
              "      <td>janamejay singh</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin + Chloramphenicol</td>\n",
              "      <td>janamejay singh</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>374529681923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>hepatitis</td>\n",
              "      <td>vaccines</td>\n",
              "      <td>arth gupta</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin + Chloramphenicol</td>\n",
              "      <td>arth gupta</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>856491237142</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin + Chloramphenicol</td>\n",
              "      <td>kanishk rajput</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>219784536578</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin + Chloramphenicol</td>\n",
              "      <td>akash baghela</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>643291857412</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>Akshay sahu</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>vrutika srivalli</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>374529681923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>neha kakkar</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>856491237142</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>mukesh ambani</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>ravindra nath tagore</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>374529681923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>atif aslam</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>856491237142</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>Arijit singh</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>219784536578</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>tony kakkar</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>749612385937</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>Sandeep sisodiya</td>\n",
              "      <td>kanpur</td>\n",
              "      <td>208002</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>643291857412</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>eye pressure</td>\n",
              "      <td>tefluprost, nepafanac</td>\n",
              "      <td>kishore ravichandra</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>360005</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>579238761492</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>George Washington</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>neha gupta</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>374529681923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>richa sharma</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>856491237142</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>pratyusha banerjee</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>219784536578</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>ishika sharma</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>749612385937</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>Divya Joshi</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>643291857412</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>harshita ratnaparkhee</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>928374561239</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>ajeet wankhede</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>928374561239</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>cold</td>\n",
              "      <td>Guaifenesin</td>\n",
              "      <td>chhavi ojha</td>\n",
              "      <td>rajkot</td>\n",
              "      <td>36005</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>483957126384</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>ayushi joshi</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>ayush saxena</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>374529681923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>diptanshu saini</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>856491237142</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>ravi kumar</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>219784536578</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>akash Joshi</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>643291857412</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>constipation</td>\n",
              "      <td>sena</td>\n",
              "      <td>golu shukla</td>\n",
              "      <td>delhi</td>\n",
              "      <td>110001</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>749612385937</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>acidity</td>\n",
              "      <td>ranitidine</td>\n",
              "      <td>Arijit singh</td>\n",
              "      <td>mumbai</td>\n",
              "      <td>400001</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>579238761492</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>UTI</td>\n",
              "      <td>norfloxacin</td>\n",
              "      <td>kishore choudhary</td>\n",
              "      <td>mumbai</td>\n",
              "      <td>400001</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>injury</td>\n",
              "      <td>cephalosporin</td>\n",
              "      <td>ravindra maheshwari</td>\n",
              "      <td>mumbai</td>\n",
              "      <td>400001</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>374529681923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>diabetes</td>\n",
              "      <td>glimipride+metformin</td>\n",
              "      <td>Mahendra dhoni</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>diabetes</td>\n",
              "      <td>glimipride+metformin</td>\n",
              "      <td>Virat Kohli</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>374529681923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>rahul gandhi</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>374529681923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>rohit sharma</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>579238761492</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>diabetes</td>\n",
              "      <td>glimipride+metformin</td>\n",
              "      <td>shanky asati</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>579238761492</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>UTI</td>\n",
              "      <td>norfloxacin</td>\n",
              "      <td>rohit jadhav</td>\n",
              "      <td>kolkata</td>\n",
              "      <td>700001</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>acidity</td>\n",
              "      <td>rinatidine</td>\n",
              "      <td>akash pillai</td>\n",
              "      <td>kolkata</td>\n",
              "      <td>700001</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>856491237142</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>skin infection</td>\n",
              "      <td>cefalaxin</td>\n",
              "      <td>l.g gopal</td>\n",
              "      <td>kolkata</td>\n",
              "      <td>700001</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>374529681923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>covid</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>k sunitha</td>\n",
              "      <td>kolkata</td>\n",
              "      <td>700001</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>856491237142</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin</td>\n",
              "      <td>suraj kairo</td>\n",
              "      <td>pune</td>\n",
              "      <td>410014</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>374529681923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>malaria</td>\n",
              "      <td>chloroquine</td>\n",
              "      <td>akash vijayvargiya</td>\n",
              "      <td>pune</td>\n",
              "      <td>410014</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>374529681923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>asthma</td>\n",
              "      <td>albuterol</td>\n",
              "      <td>badshah mimrot</td>\n",
              "      <td>pune</td>\n",
              "      <td>410014</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>219784536578</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>sore throat</td>\n",
              "      <td>Azithromycin</td>\n",
              "      <td>vandana tinku</td>\n",
              "      <td>pune</td>\n",
              "      <td>411005</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>219784536578</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>akash Joshi</td>\n",
              "      <td>pune</td>\n",
              "      <td>411005</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>219784536578</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>influenza</td>\n",
              "      <td>quinolone</td>\n",
              "      <td>Arijit singh</td>\n",
              "      <td>pune</td>\n",
              "      <td>411005</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>219784536578</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "        document.querySelector('#df-eb596024-e6e7-4fb5-9da4-adf505f534d0 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-eb596024-e6e7-4fb5-9da4-adf505f534d0');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "      --hover-bg-color: #E2EBFA;\n",
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              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
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              "    fill: var(--disabled-fill-color);\n",
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              "    border-color: transparent;\n",
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              "      border-right-color: var(--fill-color);\n",
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              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
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              "        document.querySelector('#df-a0984d6c-5f26-48e1-8fee-1b72258a2b21 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
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              "\n",
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              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df1')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_569ec08f-c186-41ec-b970-e14bc2241c53 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df1');\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df1",
              "summary": "{\n  \"name\": \"df1\",\n  \"rows\": 50,\n  \"fields\": [\n    {\n      \"column\": \"diseaseName\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 16,\n        \"samples\": [\n          \"malaria\",\n          \"typhoid \",\n          \"eye pressure \"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"medicineName\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 19,\n        \"samples\": [\n          \"chloroquine \",\n          \"tefluprost, nepafanac\",\n          \"glimipride+metformin\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"doctorName\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 46,\n        \"samples\": [\n          \"l.g gopal\",\n          \"ayush saxena\",\n          \"diptanshu saini\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"city\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 8,\n        \"samples\": [\n          \"kanpur\",\n          \"chennai\",\n          \"Indore\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"pincode\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 215353,\n        \"min\": 36005,\n        \"max\": 700001,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          410014,\n          208002,\n          400001\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"2024-01-10\",\n          \"2024-02-10\",\n          \"2024-03-10\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"nextAppointment\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"2024-01-20\",\n          \"2024-02-20\",\n          \"2024-03-20\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"refillDate\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"2024-01-20\",\n          \"2024-02-20\",\n          \"2024-03-20\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"aadhaarNumber\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 217738188304,\n        \"min\": 219784536578,\n        \"max\": 928374561239,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          374529681923,\n          749612385937,\n          579238761492\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for _, row in df1.iterrows():\n",
        "    doc = row.to_dict()\n",
        "    # datas_collection.insert_one(doc)"
      ],
      "metadata": {
        "id": "6hfPFqXzEP4_",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 321
        },
        "outputId": "f0dd5a53-5c3b-4a9a-cc95-cbcf1c33e017"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "KeyboardInterrupt",
          "evalue": "",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-10-eb2309c21fa1>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrow\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdf1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miterrows\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m     \u001b[0mdoc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrow\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_dict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m     \u001b[0mdatas_collection\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minsert_one\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdoc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pymongo/collection.py\u001b[0m in \u001b[0;36minsert_one\u001b[0;34m(self, document, bypass_document_validation, session, comment)\u001b[0m\n\u001b[1;32m    667\u001b[0m         \u001b[0mwrite_concern\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_write_concern_for\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msession\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    668\u001b[0m         return InsertOneResult(\n\u001b[0;32m--> 669\u001b[0;31m             self._insert_one(\n\u001b[0m\u001b[1;32m    670\u001b[0m                 \u001b[0mdocument\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    671\u001b[0m                 \u001b[0mordered\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pymongo/collection.py\u001b[0m in \u001b[0;36m_insert_one\u001b[0;34m(self, doc, ordered, write_concern, op_id, bypass_doc_val, session, comment)\u001b[0m\n\u001b[1;32m    607\u001b[0m             \u001b[0m_check_write_command_response\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    608\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 609\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__database\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclient\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_retryable_write\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0macknowledged\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_insert_command\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msession\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    610\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    611\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdoc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mRawBSONDocument\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pymongo/mongo_client.py\u001b[0m in \u001b[0;36m_retryable_write\u001b[0;34m(self, retryable, func, session, bulk)\u001b[0m\n\u001b[1;32m   1521\u001b[0m         \"\"\"\n\u001b[1;32m   1522\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_tmp_session\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msession\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1523\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_retry_with_session\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mretryable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbulk\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1524\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1525\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__eq__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mbool\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pymongo/mongo_client.py\u001b[0m in \u001b[0;36m_retry_with_session\u001b[0;34m(self, retryable, func, session, bulk)\u001b[0m\n\u001b[1;32m   1419\u001b[0m             \u001b[0mretryable\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mretry_writes\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0msession\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0msession\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0min_transaction\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1420\u001b[0m         )\n\u001b[0;32m-> 1421\u001b[0;31m         return self._retry_internal(\n\u001b[0m\u001b[1;32m   1422\u001b[0m             \u001b[0mfunc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1423\u001b[0m             \u001b[0msession\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msession\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pymongo/_csot.py\u001b[0m in \u001b[0;36mcsot_wrapper\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    105\u001b[0m                 \u001b[0;32mwith\u001b[0m \u001b[0m_TimeoutContext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    106\u001b[0m                     \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 107\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    108\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    109\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mcast\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mF\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcsot_wrapper\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pymongo/mongo_client.py\u001b[0m in \u001b[0;36m_retry_internal\u001b[0;34m(self, func, session, bulk, is_read, address, read_pref, retryable)\u001b[0m\n\u001b[1;32m   1460\u001b[0m             \u001b[0maddress\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maddress\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1461\u001b[0m             \u001b[0mretryable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mretryable\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1462\u001b[0;31m         ).run()\n\u001b[0m\u001b[1;32m   1463\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1464\u001b[0m     def _retryable_read(\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pymongo/mongo_client.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   2313\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check_last_error\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcheck_csot\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2314\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2315\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_read\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_is_read\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_write\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2316\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mServerSelectionTimeoutError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2317\u001b[0m                 \u001b[0;31m# The application may think the write was never attempted\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pymongo/mongo_client.py\u001b[0m in \u001b[0;36m_write\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   2421\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check_last_error\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2422\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_retryable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2423\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_session\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_retryable\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# type: ignore\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2424\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mPyMongoError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2425\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_retryable\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pymongo/collection.py\u001b[0m in \u001b[0;36m_insert_command\u001b[0;34m(session, conn, retryable_write)\u001b[0m\n\u001b[1;32m    595\u001b[0m                 \u001b[0mcommand\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"bypassDocumentValidation\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    596\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 597\u001b[0;31m             result = conn.command(\n\u001b[0m\u001b[1;32m    598\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__database\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    599\u001b[0m                 \u001b[0mcommand\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pymongo/helpers.py\u001b[0m in \u001b[0;36minner\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    320\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    321\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 322\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    323\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mOperationFailure\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    324\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mno_reauth\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pymongo/pool.py\u001b[0m in \u001b[0;36mcommand\u001b[0;34m(self, dbname, spec, read_preference, codec_options, check, allowable_errors, read_concern, write_concern, parse_write_concern_error, collation, session, client, retryable_write, publish_events, user_fields, exhaust_allowed)\u001b[0m\n\u001b[1;32m    994\u001b[0m         \u001b[0;31m# Catch socket.error, KeyboardInterrupt, etc. and close ourselves.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    995\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mBaseException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merror\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 996\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_raise_connection_failure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    997\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    998\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0msend_message\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmessage\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbytes\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax_doc_size\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pymongo/pool.py\u001b[0m in \u001b[0;36mcommand\u001b[0;34m(self, dbname, spec, read_preference, codec_options, check, allowable_errors, read_concern, write_concern, parse_write_concern_error, collation, session, client, retryable_write, publish_events, user_fields, exhaust_allowed)\u001b[0m\n\u001b[1;32m    966\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_raise_if_not_writable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0munacknowledged\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    967\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 968\u001b[0;31m             return command(\n\u001b[0m\u001b[1;32m    969\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    970\u001b[0m                 \u001b[0mdbname\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pymongo/network.py\u001b[0m in \u001b[0;36mcommand\u001b[0;34m(conn, dbname, spec, is_mongos, read_preference, codec_options, session, client, check, allowable_errors, address, listeners, max_bson_size, read_concern, parse_write_concern_error, collation, compression_ctx, use_op_msg, unacknowledged, user_fields, exhaust_allowed, write_concern)\u001b[0m\n\u001b[1;32m    180\u001b[0m             \u001b[0mresponse_doc\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0m_DocumentOut\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m\"ok\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    181\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 182\u001b[0;31m             \u001b[0mreply\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mreceive_message\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrequest_id\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    183\u001b[0m             \u001b[0mconn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmore_to_come\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mreply\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmore_to_come\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    184\u001b[0m             unpacked_docs = reply.unpack_response(\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pymongo/network.py\u001b[0m in \u001b[0;36mreceive_message\u001b[0;34m(conn, request_id, max_message_size)\u001b[0m\n\u001b[1;32m    255\u001b[0m             \u001b[0mdeadline\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    256\u001b[0m     \u001b[0;31m# Ignore the response's request id.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 257\u001b[0;31m     \u001b[0mlength\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresponse_to\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop_code\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_UNPACK_HEADER\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_receive_data_on_socket\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m16\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdeadline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    258\u001b[0m     \u001b[0;31m# No request_id for exhaust cursor \"getMore\".\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    259\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mrequest_id\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pymongo/network.py\u001b[0m in \u001b[0;36m_receive_data_on_socket\u001b[0;34m(conn, length, deadline)\u001b[0m\n\u001b[1;32m    338\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0m_csot\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_timeout\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mdeadline\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    339\u001b[0m                 \u001b[0mconn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_conn_timeout\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdeadline\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmonotonic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 340\u001b[0;31m             \u001b[0mchunk_length\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecv_into\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmv\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mbytes_read\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    341\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mBLOCKING_IO_ERRORS\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    342\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0msocket\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"timed out\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/lib/python3.10/ssl.py\u001b[0m in \u001b[0;36mrecv_into\u001b[0;34m(self, buffer, nbytes, flags)\u001b[0m\n\u001b[1;32m   1301\u001b[0m                   \u001b[0;34m\"non-zero flags not allowed in calls to recv_into() on %s\"\u001b[0m \u001b[0;34m%\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1302\u001b[0m                   self.__class__)\n\u001b[0;32m-> 1303\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnbytes\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbuffer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1304\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1305\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecv_into\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbuffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnbytes\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflags\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/lib/python3.10/ssl.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(self, len, buffer)\u001b[0m\n\u001b[1;32m   1157\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1158\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mbuffer\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1159\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sslobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbuffer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1160\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1161\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sslobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "all_data = datas_collection.find()\n",
        "data_array = []\n",
        "for data in all_data:\n",
        "    data_array.append(data)\n",
        "data_table = pd.DataFrame(data_array)\n",
        "data_table"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 597
        },
        "id": "F-oa2Gh_F_Ec",
        "outputId": "f2a326b8-248b-4cf8-b583-17d6c31ff793"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                         _id      diseaseName                 medicineName  \\\n",
              "0   66125b1b04af74b32f207547         headache                       crocin   \n",
              "1   66125b9104af74b32f207557          typhoid                     alakazam   \n",
              "2   66125bfd04af74b32f20755b          typhoid                     alakazam   \n",
              "3   66214e40d5468a47358e177a          malaria                 chloroquine    \n",
              "4   66214e42d5468a47358e177b         typhoid   ofloxacin + Chloramphenicol   \n",
              "..                       ...              ...                          ...   \n",
              "87  6625184dd7308e312682f3d8          injury                 cephalosporin   \n",
              "88  6625184dd7308e312682f3d9        diabetes          glimipride+metformin   \n",
              "89  6625184dd7308e312682f3da        diabetes         glimipride+metformin    \n",
              "90  6625184dd7308e312682f3db  blood pressure                   amlodipine    \n",
              "91  6625184ed7308e312682f3dc  blood pressure                   amlodipine    \n",
              "\n",
              "              doctorName     city pincode nextAppointment  refillDate  \\\n",
              "0                Dr Arth   Indore  453331      2024-04-11  2024-04-12   \n",
              "1        Dr Mohit sharma   mumbai  453331      2024-04-19  2024-04-19   \n",
              "2                pikachu   mumbai  453331      2024-04-17  2024-04-18   \n",
              "3           anant ambani   Indore  452004      2024-01-20  2024-01-20   \n",
              "4        janamejay singh   Indore  452004      2024-01-20  2024-01-20   \n",
              "..                   ...      ...     ...             ...         ...   \n",
              "87  ravindra maheshwari    mumbai  400001      2024-03-20  2024-03-20   \n",
              "88       Mahendra dhoni   chennai  600001      2024-01-20  2024-01-20   \n",
              "89          Virat Kohli   chennai  600001      2024-02-20  2024-02-20   \n",
              "90         rahul gandhi   chennai  600001      2024-03-20  2024-03-20   \n",
              "91          rohit sharma  chennai  600001      2024-03-20  2024-03-20   \n",
              "\n",
              "   aadhaarNumber        date  __v  \n",
              "0   924993456216  2024-04-07  0.0  \n",
              "1   924993456216  2024-04-07  0.0  \n",
              "2   924993456216  2024-04-07  0.0  \n",
              "3   579238761492  2024-01-10  NaN  \n",
              "4   579238761492  2024-01-10  NaN  \n",
              "..           ...         ...  ...  \n",
              "87  374529681923  2024-03-10  NaN  \n",
              "88  579238761492  2024-01-10  NaN  \n",
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              "type": "dataframe",
              "variable_name": "data_table",
              "summary": "{\n  \"name\": \"data_table\",\n  \"rows\": 92,\n  \"fields\": [\n    {\n      \"column\": \"_id\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 92,\n        \"samples\": [\n          \"66214e4ad5468a47358e179f\",\n          \"66214e46d5468a47358e178d\",\n          \"66251845d7308e312682f3b8\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"diseaseName\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 18,\n        \"samples\": [\n          \"headache\",\n          \"typhoid\",\n          \"cold\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"medicineName\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 21,\n        \"samples\": [\n          \"crocin\",\n          \"cefalaxin \",\n          \"amlodipine \"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"doctorName\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 49,\n        \"samples\": [\n          \"atif aslam\",\n          \"akash vijayvargiya \",\n          \"vandana tinku\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"city\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 8,\n        \"samples\": [\n          \"mumbai\",\n          \"chennai\",\n          \"Indore\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"pincode\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 11,\n        \"samples\": [\n          110001,\n          \"453331\",\n          410014\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"nextAppointment\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"2024-04-11\",\n          \"2024-04-19\",\n          \"2024-03-20\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"refillDate\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"2024-04-12\",\n          \"2024-04-19\",\n          \"2024-03-20\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"aadhaarNumber\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 9,\n        \"samples\": [\n          928374561239,\n          579238761492,\n          643291857412\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"2024-01-10\",\n          \"2024-03-10\",\n          \"2024-04-07\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"__v\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 0.0,\n        \"max\": 0.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for _, row in df1.iterrows():\n",
        "    doc = row.to_dict()\n"
      ],
      "metadata": {
        "id": "SsOEPqJhGitb"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "Xbr3aoyzGvQP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_table"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 597
        },
        "id": "hRiFIPROHz-9",
        "outputId": "1e6138e7-a6cd-4b95-e3a4-31fedc4252bd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                         _id      diseaseName                 medicineName  \\\n",
              "0   66125b1b04af74b32f207547         headache                       crocin   \n",
              "1   66125b9104af74b32f207557          typhoid                     alakazam   \n",
              "2   66125bfd04af74b32f20755b          typhoid                     alakazam   \n",
              "3   66214e40d5468a47358e177a          malaria                 chloroquine    \n",
              "4   66214e42d5468a47358e177b         typhoid   ofloxacin + Chloramphenicol   \n",
              "..                       ...              ...                          ...   \n",
              "87  6625184dd7308e312682f3d8          injury                 cephalosporin   \n",
              "88  6625184dd7308e312682f3d9        diabetes          glimipride+metformin   \n",
              "89  6625184dd7308e312682f3da        diabetes         glimipride+metformin    \n",
              "90  6625184dd7308e312682f3db  blood pressure                   amlodipine    \n",
              "91  6625184ed7308e312682f3dc  blood pressure                   amlodipine    \n",
              "\n",
              "              doctorName     city pincode nextAppointment  refillDate  \\\n",
              "0                Dr Arth   Indore  453331      2024-04-11  2024-04-12   \n",
              "1        Dr Mohit sharma   mumbai  453331      2024-04-19  2024-04-19   \n",
              "2                pikachu   mumbai  453331      2024-04-17  2024-04-18   \n",
              "3           anant ambani   Indore  452004      2024-01-20  2024-01-20   \n",
              "4        janamejay singh   Indore  452004      2024-01-20  2024-01-20   \n",
              "..                   ...      ...     ...             ...         ...   \n",
              "87  ravindra maheshwari    mumbai  400001      2024-03-20  2024-03-20   \n",
              "88       Mahendra dhoni   chennai  600001      2024-01-20  2024-01-20   \n",
              "89          Virat Kohli   chennai  600001      2024-02-20  2024-02-20   \n",
              "90         rahul gandhi   chennai  600001      2024-03-20  2024-03-20   \n",
              "91          rohit sharma  chennai  600001      2024-03-20  2024-03-20   \n",
              "\n",
              "   aadhaarNumber        date  __v  \n",
              "0   924993456216  2024-04-07  0.0  \n",
              "1   924993456216  2024-04-07  0.0  \n",
              "2   924993456216  2024-04-07  0.0  \n",
              "3   579238761492  2024-01-10  NaN  \n",
              "4   579238761492  2024-01-10  NaN  \n",
              "..           ...         ...  ...  \n",
              "87  374529681923  2024-03-10  NaN  \n",
              "88  579238761492  2024-01-10  NaN  \n",
              "89  374529681923  2024-02-10  NaN  \n",
              "90  374529681923  2024-03-10  NaN  \n",
              "91  579238761492  2024-03-10  NaN  \n",
              "\n",
              "[92 rows x 11 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-1cebf381-44f0-455f-b688-8ae0cf73a4e6\" class=\"colab-df-container\">\n",
              "    <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",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>_id</th>\n",
              "      <th>diseaseName</th>\n",
              "      <th>medicineName</th>\n",
              "      <th>doctorName</th>\n",
              "      <th>city</th>\n",
              "      <th>pincode</th>\n",
              "      <th>nextAppointment</th>\n",
              "      <th>refillDate</th>\n",
              "      <th>aadhaarNumber</th>\n",
              "      <th>date</th>\n",
              "      <th>__v</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>66125b1b04af74b32f207547</td>\n",
              "      <td>headache</td>\n",
              "      <td>crocin</td>\n",
              "      <td>Dr Arth</td>\n",
              "      <td>Indore</td>\n",
              "      <td>453331</td>\n",
              "      <td>2024-04-11</td>\n",
              "      <td>2024-04-12</td>\n",
              "      <td>924993456216</td>\n",
              "      <td>2024-04-07</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>66125b9104af74b32f207557</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>alakazam</td>\n",
              "      <td>Dr Mohit sharma</td>\n",
              "      <td>mumbai</td>\n",
              "      <td>453331</td>\n",
              "      <td>2024-04-19</td>\n",
              "      <td>2024-04-19</td>\n",
              "      <td>924993456216</td>\n",
              "      <td>2024-04-07</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>66125bfd04af74b32f20755b</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>alakazam</td>\n",
              "      <td>pikachu</td>\n",
              "      <td>mumbai</td>\n",
              "      <td>453331</td>\n",
              "      <td>2024-04-17</td>\n",
              "      <td>2024-04-18</td>\n",
              "      <td>924993456216</td>\n",
              "      <td>2024-04-07</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>66214e40d5468a47358e177a</td>\n",
              "      <td>malaria</td>\n",
              "      <td>chloroquine</td>\n",
              "      <td>anant ambani</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>66214e42d5468a47358e177b</td>\n",
              "      <td>typhoid</td>\n",
              "      <td>ofloxacin + Chloramphenicol</td>\n",
              "      <td>janamejay singh</td>\n",
              "      <td>Indore</td>\n",
              "      <td>452004</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>87</th>\n",
              "      <td>6625184dd7308e312682f3d8</td>\n",
              "      <td>injury</td>\n",
              "      <td>cephalosporin</td>\n",
              "      <td>ravindra maheshwari</td>\n",
              "      <td>mumbai</td>\n",
              "      <td>400001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>88</th>\n",
              "      <td>6625184dd7308e312682f3d9</td>\n",
              "      <td>diabetes</td>\n",
              "      <td>glimipride+metformin</td>\n",
              "      <td>Mahendra dhoni</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>2024-01-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-01-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>89</th>\n",
              "      <td>6625184dd7308e312682f3da</td>\n",
              "      <td>diabetes</td>\n",
              "      <td>glimipride+metformin</td>\n",
              "      <td>Virat Kohli</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>2024-02-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-02-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90</th>\n",
              "      <td>6625184dd7308e312682f3db</td>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>rahul gandhi</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>374529681923</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>6625184ed7308e312682f3dc</td>\n",
              "      <td>blood pressure</td>\n",
              "      <td>amlodipine</td>\n",
              "      <td>rohit sharma</td>\n",
              "      <td>chennai</td>\n",
              "      <td>600001</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>2024-03-20</td>\n",
              "      <td>579238761492</td>\n",
              "      <td>2024-03-10</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>92 rows × 11 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1cebf381-44f0-455f-b688-8ae0cf73a4e6')\"\n",
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              "\n",
              "  <style>\n",
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              "      display:flex;\n",
              "      gap: 12px;\n",
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              "\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "    border-radius: 50%;\n",
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              "  }\n",
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              "  .colab-df-quickchart-complete:disabled,\n",
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              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-4c22c447-b263-405f-b605-dd410dd320a5 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_80916b6c-01fe-4a2f-8768-b3b8eed0a5aa\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('data_table')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_80916b6c-01fe-4a2f-8768-b3b8eed0a5aa button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('data_table');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data_table",
              "summary": "{\n  \"name\": \"data_table\",\n  \"rows\": 92,\n  \"fields\": [\n    {\n      \"column\": \"_id\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 92,\n        \"samples\": [\n          \"66214e4ad5468a47358e179f\",\n          \"66214e46d5468a47358e178d\",\n          \"66251845d7308e312682f3b8\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"diseaseName\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 18,\n        \"samples\": [\n          \"headache\",\n          \"typhoid\",\n          \"cold\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"medicineName\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 21,\n        \"samples\": [\n          \"crocin\",\n          \"cefalaxin \",\n          \"amlodipine \"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"doctorName\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 49,\n        \"samples\": [\n          \"atif aslam\",\n          \"akash vijayvargiya \",\n          \"vandana tinku\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"city\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 8,\n        \"samples\": [\n          \"mumbai\",\n          \"chennai\",\n          \"Indore\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"pincode\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 11,\n        \"samples\": [\n          110001,\n          \"453331\",\n          410014\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"nextAppointment\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"2024-04-11\",\n          \"2024-04-19\",\n          \"2024-03-20\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"refillDate\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"2024-04-12\",\n          \"2024-04-19\",\n          \"2024-03-20\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"aadhaarNumber\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 9,\n        \"samples\": [\n          928374561239,\n          579238761492,\n          643291857412\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"2024-01-10\",\n          \"2024-03-10\",\n          \"2024-04-07\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"__v\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 0.0,\n        \"max\": 0.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = data_table"
      ],
      "metadata": {
        "id": "3iebbjD1H7XT"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "top_medicine_names = df['medicineName'].value_counts().head(10)\n",
        "\n",
        "# Plotting the bar graph\n",
        "plt.figure(figsize=(6, 2))\n",
        "top_medicine_names.plot(kind='bar')\n",
        "plt.xlabel('Medicine Name')\n",
        "plt.ylabel('Count')\n",
        "plt.title('Top 10 Medicine Names')\n",
        "plt.xticks(rotation=45, ha='right')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "mY6CFbWpIDqy",
        "outputId": "eb7b9438-d004-4222-a563-c64aeba12d2a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x200 with 1 Axes>"
            ],
            "image/png": 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Y/pGQkEC2trb/Odz6T59MKKo2jIyMOJlgjDHGvsF/NRPgBpiMMcYYyxVOJhhjjDGWK5xMMMYYYyxXOJlgjDHGWK789A0wv4V92O4f9t6PJ9b7Ye/NGGOMSYFLJhhjjDGWK5xMMMYYYyxXOJlgjDHGWK5wMsEYY4yxXOFkgjHGGGO5wskEY4wxxnKFkwnGGGOM5QonE4wxxhjLFU4mGGOMMZYrnEwwxhhjLFc4mWCMMcZYrnAywRhjjLFc4WSCMcYYY7nCyQRjjDHGcoWTCcYYY4zlCicTjDHGGMsVTiYYY4wxliucTDDGGGMsVziZYIwxxliucDLBGGOMsVyRNJk4fvw41a9fn6ysrEgmk1FUVJTo+eDgYJLJZKK/gIAAaYJljDHGWI4kTSaSkpLIzc2N5s2b99l1AgIC6OXLl8Lfhg0b8jBCxhhjjP2XAlJ+eGBgIAUGBv7rOtra2mRpaZlHETHGGGPsa6l9m4mjR49S4cKFydHRkbp3705v37791/VTU1MpISFB9McYY4yxH0etk4mAgABavXo1HTp0iCZNmkTHjh2jwMBAyszM/OxrJkyYQMbGxsKfra1tHkbMGGOM/Xokreb4Ly1bthT+X7ZsWSpXrhw5ODjQ0aNHqUaNGjm+Jjw8nPr16yc8TkhI4ISCMcYY+4HUumQiuxIlSlChQoXo/v37n11HW1ubjIyMRH+MMcYY+3HyVTLx7Nkzevv2LRUtWlTqUBhjjDH2/ySt5vj48aOolOHRo0d0+fJlMjMzIzMzMxo9ejQ1adKELC0t6cGDBzRo0CAqWbIk1alTR8KoGWOMMaZM0mTiwoUL5O/vLzxWtHVo3749LViwgK5evUqrVq2i9+/fk5WVFdWuXZvGjh1L2traUoXMGGOMsWwkTSb8/PwIwGef379/fx5GwxhjjLFvka/aTDDGGGNM/ah111D2dezDdv+w9348sd4Pe2/GGGP5G5dMMMYYYyxXOJlgjDHGWK5wMsEYY4yxXOFkgjHGGGO5wskEY4wxxnKFkwnGGGOM5QonE4wxxhjLFU4mGGOMMZYrnEwwxhhjLFc4mWCMMcZYrnAywRhjjLFc4WSCMcYYY7nCyQRjjDHGcoWTCcYYY4zlCicTjDHGGMuVAlIHwBgRkX3Y7h/23o8n1vth780YY4xLJhhjjDGWS5xMMMYYYyxXvimZKFGiBL19+1Zl+fv376lEiRK5Dooxxhhj+cc3JROPHz+mzMxMleWpqan0/PnzXAfFGGOMsfzjqxpg7tixQ/j//v37ydjYWHicmZlJhw4dInt7++8WHGOMMcbU31clEw0bNiQiIplMRu3btxc9p6WlRfb29jRt2rTvFhxjjDHG1N9XJRNyuZyIiIoXL07nz5+nQoUK/ZCgGGOMMZZ/fNM4E48ePfrecTDGGGMsn/rmQasOHTpEhw4dotevXwslFgrLly/PdWCMMcYYyx++KZkYPXo0jRkzhry8vKho0aIkk8m+d1yMMcYYyye+KZlYuHAhrVy5ktq2bfu942GMMcZYPvNN40ykpaVR5cqVc/3hx48fp/r165OVlRXJZDKKiooSPQ+ARowYQUWLFiVdXV2qWbMm3bt3L9efyxhjjLHv55uSiU6dOtH69etz/eFJSUnk5uZG8+bNy/H5yZMn0+zZs2nhwoV09uxZ0tfXpzp16lBKSkquP5sxxhhj38c3VXOkpKTQ4sWL6eDBg1SuXDnS0tISPT99+vQvep/AwEAKDAzM8TkANHPmTBo2bBj9/vvvRES0evVqKlKkCEVFRVHLli2/JXTGGGOMfWfflExcvXqV3N3diYjo+vXroue+V2PMR48e0atXr6hmzZrCMmNjY/Lx8aF//vmHkwnGGGNMTXxTMnHkyJHvHYeKV69eERFRkSJFRMuLFCkiPJeT1NRUSk1NFR4nJCT8mAAZY4wxRkS5GGdCXU2YMIFGjx4tdRjsF2EftvuHvffjifV+2Hszxtj39E3JhL+//79WZxw+fPibA1KwtLQkIqLY2FgqWrSosDw2NlaoYslJeHg49evXT3ickJBAtra2uY6HMcYYYzn7pmQi+8U8PT2dLl++TNevX1eZAOxbFS9enCwtLenQoUPC5yUkJNDZs2epe/fun32dtrY2aWtrf5cYGGOMMfbfvimZmDFjRo7LR40aRR8/fvzi9/n48SPdv39fePzo0SO6fPkymZmZkZ2dHfXp04ciIiKoVKlSVLx4cRo+fDhZWVkJs5cyxhhjTHrftc1EmzZtyNvbm6ZOnfpF61+4cIH8/f2Fx4rqifbt29PKlStp0KBBlJSURF26dKH379+Tr68v7du3j3R0dL5n2IwxxhjLhe+aTPzzzz9fdaH38/MjAJ99XiaT0ZgxY2jMmDHfIzzGGGOM/QDflEw0btxY9BgAvXz5ki5cuEDDhw//LoExxhhjLH/4pmTC2NhY9FhDQ4McHR1pzJgxVLt27e8SGGOMMcbyh29KJlasWPG942CMMcZYPpWrNhPR0dF069YtIiJydXWl8uXLf5egGGOMMZZ/fFMy8fr1a2rZsiUdPXqUTExMiIjo/fv35O/vTxs3biQLC4vvGSNjjDHG1Ng3TUHeq1cvSkxMpBs3btC7d+/o3bt3dP36dUpISKDQ0NDvHSNjjDHG1Ng3lUzs27ePDh48SM7OzsIyFxcXmjdvHjfAZIwxxn4x31QyIZfLSUtLS2W5lpYWyeXyXAfFGGOMsfzjm5KJ6tWrU+/evenFixfCsufPn1Pfvn2pRo0a3y04xhhjjKm/b0om5s6dSwkJCWRvb08ODg7k4OBAxYsXp4SEBJozZ873jpExxhhjauyb2kzY2trSxYsX6eDBg3T79m0iInJ2dqaaNWt+1+AYY4wxpv6+qmTi8OHD5OLiQgkJCSSTyahWrVrUq1cv6tWrF1WoUIFcXV3pxIkTPypWxhhjjKmhr0omZs6cSZ07dyYjIyOV54yNjalr1640ffr07xYcY4wxxtTfVyUTV65coYCAgM8+X7t2bYqOjs51UIwxxhjLP74qmYiNjc2xS6hCgQIFKC4uLtdBMcYYYyz/+Kpkwtramq5fv/7Z569evUpFixbNdVCMMcYYyz++KpmoW7cuDR8+nFJSUlSe+/TpE40cOZKCgoK+W3CMMcYYU39f1TV02LBhFBkZSaVLl6aQkBBydHQkIqLbt2/TvHnzKDMzk4YOHfpDAmWMMcaYevqqZKJIkSJ0+vRp6t69O4WHhxMAIiKSyWRUp04dmjdvHhUpUuSHBMoYY4wx9fTVg1YVK1aM9uzZQ/Hx8XT//n0CQKVKlSJTU9MfER9jjDHG1Nw3jYBJRGRqakoVKlT4nrEwxhhjLB/6prk5GGOMMcYUOJlgjDHGWK5wMsEYY4yxXOFkgjHGGGO5wskEY4wxxnLlm3tzMMbyN/uw3T/svR9PrPfD3psxpn64ZIIxxhhjucLJBGOMMcZyhZMJxhhjjOWKWicTo0aNIplMJvpzcnKSOizGGGOMKVH7Bpiurq508OBB4XGBAmofMmOMMfZLUfsrc4ECBcjS0lLqMBhjjDH2GWpdzUFEdO/ePbKysqISJUrQH3/8QU+fPv3X9VNTUykhIUH0xxhjjLEfR61LJnx8fGjlypXk6OhIL1++pNGjR1OVKlXo+vXrZGhomONrJkyYQKNHj87jSBljeYXHx2BM/ah1yURgYCA1a9aMypUrR3Xq1KE9e/bQ+/fv6a+//vrsa8LDw+nDhw/CX0xMTB5GzBhjjP161LpkIjsTExMqXbo03b9//7PraGtrk7a2dh5GxRhjjP3a1LpkIruPHz/SgwcPqGjRolKHwhhjjLH/p9bJxIABA+jYsWP0+PFjOn36NDVq1Ig0NTWpVatWUofGGGOMsf+n1tUcz549o1atWtHbt2/JwsKCfH196cyZM2RhYSF1aIwxxhj7f2qdTGzcuFHqEBhjjDH2H9S6moMxxhhj6o+TCcYYY4zlCicTjDHGGMsVTiYYY4wxliucTDDGGGMsVziZYIwxxliucDLBGGOMsVzhZIIxxhhjucLJBGOMMcZyhZMJxhhjjOWKWg+nzRhjPxP7sN0/7L0fT6z3w947v8ZNlL9jz0+4ZIIxxhhjucLJBGOMMcZyhZMJxhhjjOUKJxOMMcYYyxVOJhhjjDGWK5xMMMYYYyxXOJlgjDHGWK7wOBOMMcaYmslv42NwyQRjjDHGcoWTCcYYY4zlCicTjDHGGMsVTiYYY4wxliucTDDGGGMsVziZYIwxxliucDLBGGOMsVzhZIIxxhhjucLJBGOMMcZyhZMJxhhjjOUKJxOMMcYYy5V8kUzMmzeP7O3tSUdHh3x8fOjcuXNSh8QYY4yx/6f2ycSmTZuoX79+NHLkSLp48SK5ublRnTp16PXr11KHxhhjjDHKB8nE9OnTqXPnztShQwdycXGhhQsXkp6eHi1fvlzq0BhjjDFGaj4FeVpaGkVHR1N4eLiwTENDg2rWrEn//PNPjq9JTU2l1NRU4fGHDx+IiCghIeGLP1eemvyNEf+3r4nja+XXuInyb+z5NW6i/Bt7fo2bKP/Gnl/jJsq/satL3Ip1Afz7ilBjz58/BxHh9OnTouUDBw6Et7d3jq8ZOXIkiIj/+I//+I//+I//vtNfTEzMv16v1bpk4luEh4dTv379hMdyuZzevXtH5ubmJJPJvutnJSQkkK2tLcXExJCRkdF3fe8fLb/Gnl/jJsq/sefXuInyb+z5NW6i/Bt7fo2b6MfGDoASExPJysrqX9dT62SiUKFCpKmpSbGxsaLlsbGxZGlpmeNrtLW1SVtbW7TMxMTkR4VIRERGRkb5budTyK+x59e4ifJv7Pk1bqL8G3t+jZso/8aeX+Mm+nGxGxsb/+c6at0As2DBguTp6UmHDh0Slsnlcjp06BBVqlRJwsgYY4wxpqDWJRNERP369aP27duTl5cXeXt708yZMykpKYk6dOggdWiMMcYYo3yQTLRo0YLi4uJoxIgR9OrVK3J3d6d9+/ZRkSJFpA6NtLW1aeTIkSrVKvlBfo09v8ZNlH9jz69xE+Xf2PNr3ET5N/b8GjeResQuA/6rvwdjjDHG2OepdZsJxhhjjKk/TiYYY4wxliucTDDGGGMsVziZYIwxxliucDLBWC5cu3ZN6hAYY0xynEww9o1mz55Nbm5udPjwYalDYYwxSXHXUMa+kVwupw4dOtDOnTtp8+bNVKNGDalDYoz9BAB897mkfjQumVCiyKtevXpFDx8+lDiaX0t6ejplZmZKHcZX0dDQoJUrV1JQUBA1adJENOy7OpPL5VKHwBj7DLlcLiQSKSkplJ6eLjynzvf+XDKRTWRkJA0aNIjS0tLI1taWpk6dSl5eXqSlpSV1aCoU2Wt+zGKV7d+/n/766y+6desWtW7dmqpUqUJubm5Sh/XF5HI5tW/fnnbu3Elbt25V6xIKuVxOGhpZ9xAbN26kly9fUlxcHLVr146KFy+eL0f/y0/y+7HK8s7EiRNp//79ZGRkRPXq1aMuXboQkfruQ798yQQAIdu7du0a9e3blzp16kQLFy4UirH3798vyg7VgXL2+u7dO8rIyJA4om8TFRVFjRs3JhMTE6pUqRJt2rSJhg4dSqdPn5Y6tBzldFevoaFBa9asobp166p9CYUikRg0aBD169ePLl26RAcPHqSGDRvSkiVL1LJ0KKdtnh/ugRQxxsXFUVJSEqWkpJBMJssXJUP5IcacfC7u/PB9lGOcOnUqTZ06lSpWrEh6eno0cOBAGj58OBGRcAOpdvCL+vDhg+jxhQsXsHr1aoSFhYmW16pVC46Ojti1axfS0tLyMsQvMnbsWJQvXx41atTAyJEjpQ7nq1y5cgWlS5fGkiVLAAAfP36EqakpSpYsiVq1auGff/6ROEKxzMxM4f+RkZGYOXMmFi9ejOjoaGF5q1atYGxsjIMHD0oR4hf566+/YGNjg8uXLwMA9uzZA5lMhqioKIkjU6W8zS9duoQTJ07gwYMHSElJkTCqLxcVFQUXFxd4enqiQYMGePHiBQAgIyND4sg+T3mbX7lyBYcOHcL9+/eRkJAgYVT/TS6XC/9fsWIFxo8fj1mzZgn7Sn7Z5ufPn8e8efOwf/9+AMD79+8xf/58aGpqYtiwYcJ6yt9XHfySycTIkSMxceJEpKenIzMzE3K5HKVKlYJMJkOjRo1UfqRatWqhTJky2Lp1q+QJhfJOt2TJEpibm2PWrFlo164d3N3d0aJFCwmj+zrR0dHo2bMnUlNT8fjxY5QoUQLdu3fHtm3bYGFhgdq1a+PIkSNSh6liwIABKFSoEPz8/GBubg5PT0+MGTNGeP6PP/6Aubk5du/eLWGUnzdz5kw0b94cALB+/XoYGRlh/vz5AICkpCQ8fPhQyvAEysfhkCFD4ODgACcnJ9jY2KB79+64du2ahNF9niLumzdvwsDAABMnTsTo0aPh7++PokWLIiYmBoB6XtyUt3lYWBhcXFxQtGhRVK1aFfXr18fz588ljO7zlM+LAwYMgLm5OSpUqICSJUvC09MTSUlJANRvm3fp0kV0TTl+/DhkMhnMzMxw/PhxYfnHjx8xf/58aGlpYfjw4VKE+p9+yWRiypQpuH79OgDg06dPAICUlBRUrlwZRYsWxenTp0U7JwBUqFABFSpUwMePH/M8XgXlmPbv34/Jkydj69atAIDk5GSsWrUKrq6uaNasmVQhfpW0tDQ8ffoUcrkcrVq1Qrt27YS7iBo1asDS0hLNmjUTTgTqYNu2bShatCjOnDkDAHj58iXCw8Ph6emJqVOnAsg6IderVw+1a9eWMlQVihPpwIED0b59e1y4cAGGhoZCIgEAixYtQkREhHBcqIMZM2agSJEiOHbsGACge/fuMDExwalTpySO7PP++ecfbN++HWPHjhWW3bp1C9WrV0eRIkXUOqEAsra5hYWFcEELCQmBnp6eWpe4AcCbN2/wxx9/4OrVq0hOTsbp06dRvnx5lC5dWu0Sijt37qB+/fqiZOLx48cYPXo09PT0MGnSJNH6Hz9+xMKFCyGTybB48eK8Dvc//VLJRPYSh8OHD2P06NHCnVhKSgqcnZ3h5uaGCxcuqKz/5MmTPItVWaNGjfD48WPh8T///AN7e3uYmpri77//FpYnJSVh9erVKFOmjNqWUMTHx+PNmzeiZR8/foS7uztmzpwJIOt3aN++PaZMmSIUC6uLqVOnwsvLS3RCev78OTp37oyaNWsKF2G5XK6SkOa1z33+hQsXYGJiAplMhrVr1wrLk5OTERgYiJCQkLwK8V/J5XLI5XI0a9YMkydPBpBVbWBsbIwFCxYAAFJTUyVN8AGgd+/eWL16tfD43bt3qFixImQyGXr06CFaV5FQ2NjYSHY++TdyuRwpKSlo1qwZZs+eDQDYvXs3DAwMhAtYcnKyWiT4J0+eFD1etGgRbG1tUatWLcTFxQHI+j7R0dEoX748nJychLilPjazW758uXAj9ezZMwwbNgw6OjqYN2+eaL3ExERs27YN6enpUoT5r36pZCK70aNHw8jICOPGjRMu1p8+fYKTkxPKlSuH6Ohoyeul7ty5I1QFKLx48QITJkyApaUl2rVrJ1o/OTkZa9euRaFChUT1a+pg27ZtKFeuHFxdXdG8eXPExsYCyKoTrF27Ntq2bYt9+/Zh2LBhKF26NF69eiVpvDmdcJYuXYqyZcsKd5aK/ePkyZOQyWSi9hOfe4+8oLzfbtmyBZMnT8aRI0eEbR4REQFra2uMHz8er169wpkzZxAYGAg3NzfhRCX1vp+ZmYnU1FRUqVIF//zzD06dOgUDAwMsXLgQQFYiMWvWLKHEQgppaWmYMGECLl68KCxLT0/H/v374e/vj2LFiqm0Nbh9+zY8PT1RunRpZGRkSL6dcxIUFIR9+/YJiYQieUtLS8PSpUuxfft2SeOePn06PDw8hIQzIyMDW7duhZeXF4oUKSI6XwLAxYsX4eXlBRMTE7Vrb/Py5UuhulQR97NnzzB8+HAYGhqqJBQK6pZQ/FLJhGLnV75ITZgwATY2NhgzZowooShbtizs7Oxw6dIlKULN0axZs4Tqmbi4OEyePBlOTk7o06ePaL2kpCTs27dPbYrzgKxGRebm5hg2bBhmzpwJBwcHeHl54datWwCAVatWwdvbG9bW1nBwcFC5KOc15STgr7/+wtmzZwEAly9fhp6eHoYPHy6qCrh8+TLKlSsnfB8pKZ/kBw0aBDMzMzg7O8PS0hLdu3fHw4cPER8fj4iICJiYmKBQoUIoV64cateuLRS5SrHvfC7x6tixI6ytraGnpycqAYiLi4Ofnx/mzJmTVyHmSLG99+zZI9y9Z2Rk4OjRoyhfvjzc3d1VGnzfvXtXVNoolZy2uVwuR5MmTeDs7AwTExMsWrRIeO758+eoWbOmkFxIJTExUbiY3r17F0DWeXvPnj0oXrw4qlatqvKaM2fOIDg4WPLzYvYkTC6X48KFC3BycoKPj48ooRgxYgRMTEyEkjl19sskE4ofcNeuXahTpw42bdokPDd+/HiVhCI5ORne3t548OCBJPEC4gM9NjYWlSpVQtGiRXH79m1h2aRJk+Dq6qqSUChIfeAAwNWrVxEVFYXRo0cLy+Lj41GmTBm4ubnh3r17AIBHjx7h1q1bePnypVShAlC9GFtZWWHOnDl4+/YtAGDt2rWQyWTo27cv9u7di+vXr6NOnTqoVKmS5MWnyr/3uXPnUK9ePSERWrRoESpVqoQ2bdoI+3VsbCyOHTuG27dvC7FLccejvN0uXryIy5cv4927dwCyqgaqVKkCZ2dnpKWlQS6X482bNwgICEDlypUl28ezXxSGDx8OmUyGZcuWAcj6LY4cOQJvb2+UL19e7XpDZO9BcPv2bTx69AhAVumni4sLypQpg6SkJCQmJiIuLg6BgYH47bff1OK8AgD79u0T9URKSUnB7t274eTkhOrVq3/2dVLFr7zNExISRFV0Fy9eRMmSJVUSij59+qBWrVpqWYKl7JdJJgBg69at0NHRwbRp03D16lXRc2PHjoW1tTXGjRunFq3ZlXe6+Ph4AFkX5aCgINja2gp3wK9evcLkyZNRrlw5dOjQQYpQ/9XHjx9haWkJmUyGbt26iZ6Lj4+Hq6srPDw8hBIXdTJ37lwULlwY0dHRorYQALB582aULl0aRYoUgZOTE3x9fYW7eikSiuwN49asWYOmTZuiefPmohPn8uXLUalSJbRr107lGACkr0seMGAAihcvjoIFC6JRo0bYtm0bgKxj183NDRYWFqhYsSIqVKgAT09PSUtSFPtCXFwc0tLSkJmZiTFjxkAmkwndnRUJReXKlWFvb692CQXwv4TZ0tISfn5+iIyMBAAcOnQIhQoVgpOTE1xdXVG5cmV4eHhIus2ze/v2LXr06AEdHR1s374dwP8SChcXF9SsWVPiCHM2cuRI+Pv7o1y5ctiyZYuwTRUJRcWKFYWE4vXr18K+ps4JxS+TTDx48ACOjo5Cfauirk25+82ECROgq6uLyZMnIz09XbIfTvmEPnHiRPTu3RsXLlwAkLWz1a1bV5RQxMbGYvjw4WjTpo3kF4OcXLt2DWXKlIGnp6fQoFKxbePj42FlZYWqVauq1HPmJUVbAmXt27dHv379APzvN1E+gb569Qq3b99GdHS0pHf1w4cPR3BwsLBPA1nd+goXLoxSpUqpdOdbsWIFqlSpgqCgIOFOVArK8QLA3r174ejoiMOHD2PHjh0IDAxE1apVhVLE169fY+rUqZgyZQrWrFkj/BZSbHNF3Dt27EDDhg2xfv16ZGRk4OPHjxg9erRKQnHgwAHUqFFD8hsVRVd4hdOnT6N48eI4efIk1q9fj06dOsHW1lboJRYfH48ZM2Zg2rRp2LBhg6Tb/HPntvfv36Nnz54oUKCAKKHYs2cPzMzM0KtXr7wM8z8tWrQIRYsWxYQJE9C2bVtoaGggIiJCSDQvXrwIR0dHlChRQrSd1TmRAH6hZOLSpUsoVqwYHj16hIyMDEyfPh2+vr7Q19eHu7s7EhMTAWS11lfUwUlt0KBBKFSoENavX49nz54JyxUJhZ2dnVDl8e7dO2FnU4eEIjk5GRkZGUJjp2vXrqFo0aIICAgQtbQGsk4GUlYntWrVCn/88YdoWXJyMpydndG3b19hmSLelJQU3Lx5U+XOTKrtfuvWLeGkozz2wvTp01GyZEn07t0bT58+Fb1m7ty56Nq1q2QxZ+96unfvXvTo0UPUHe727dto1qwZqlSpgjVr1uT4PlLeHUdFRUFbWxtTpkzBnTt3hOVJSUlCQqFc5ZGcnCxVqDlasWIFQkNDRdWPN2/eRLdu3WBjY4ONGzfm+DopS4EAYPHixRg2bJhw0wdktaFQJBQ7duwAkLWPnT59WvISlOzH2LJly7Bu3Trh8dy5cyGTyTB27FghoTh79qxKqaK6+2WSiVevXqFixYrw8PBAiRIl8Pvvv2PEiBG4d+8ejI2NMX78eKlDFDl48CDs7e2F8QwA8QF16dIl1KtXDwULFhQ15FKH7HX37t1o1aoVvLy80KNHD+zatQtA1oXOysoKAQEBQvdQdYj31atXQqmIcjH0wIEDUb58eWGkSIVr164hODgY9+/fz9M4/0tkZCTKlCmDVatWCcsiIiJQvnx59O/fX+iBoiBV8tm5c2chacjMzMTTp09Rrlw56OjooHv37qJ1FQlF9erVP9uqXQovX75EhQoVMH36dNFyxTZNSkoSqjyUG41KpW7duhg3bpzw+PHjxwgKCoKhoaEoYQayktPu3bujWLFion1JHYwePRr6+voICgqCtrY2atSogZs3bwLISihCQkKgo6MjahMHSJd0Kp/f/vrrL8yaNQuBgYGiLtnA/xKKiIgIlca6+SWh+CmTCcUP+PjxY1y7dk24W4uOjkZ4eDgmTJiAmJgYYb2AgADJD5rsF9WNGzfC2dn5X+vLoqOj0a9fP7Xa2bZv3w4dHR1ERERgwYIFaNGiBTQ0NIQD/vr167Czs0OlSpWEBo3qYsGCBShVqpTQ/3/Pnj2oUKECgoODha5/sbGxaNCgAapWraoWJUDKzp49i6ZNm6JatWqiO/mIiAh4eHhg4MCBKj0I8jqZS0tLw6JFi4Q6YkUSd/bsWfj5+cHNzU1IPhXu3LmD6tWro2fPnnka6795/vw5ihUrhp07d+b4vGJ03QkTJuDGjRt5HJ1YUlISIiMjVaoRjxw5gsaNG8PMzAyHDx8WPXf79m20atUKDRs2zMtQVSgfY5mZmWjbtq1QNf38+XPY2tqiUqVKwjZOTExEmzZtcuzNkdeUj63w8HAULFgQPj4+kMlkaNasmcrNyPz58yGTybBixYo8jvT7+OmSCcUPGBkZiXLlyqF48eKoUKEC6tWrp1LPl5ycjBEjRsDS0lJt7jIVB/z06dNhYWEhLFecfOVyOQ4cOCC0oVBQh4QiPj4eNWvWxIwZMwBk1XFbWVmpXAQuX74MZ2dntRu05/Hjx0LjJ0XbjjVr1qB69eqwsLAQxshwd3eXtLHlv33u+fPn0aJFC/j6+ooSivHjx8Pa2hpz587NqxBVZE9cli9fjuDgYKE06J9//hGGbd67d69o3adPnwrfWerSLLlcjmvXrsHc3Bz79u0DANHYBZcvX8a6devUbhwAAJg2bZqoSu/kyZNo2rQp3NzccPToUdG6T548kTRhzj5HyD///IPu3buL2vnExcXB1tYWv/32m5BQJCcnq1Wif/bsWTRu3BinT58GkFXNUbRoUQwaNEilDU1kZKRa7jdf4qdLJoCsVsh6enpYuHAh3rx5g40bN4oaRAHAzp070a5dOxQtWlQ04IyUpkyZgqZNmwLIKkYtVqwY2rZtK1onISEBAQEBkvetz8nr169RsmRJREdH4/nz57C2tkbnzp2F57ds2SK0R5GysSXw+YtxTEwMHB0dRY1Fb968iW3btiEiIkLyhn+A+GK6ceNGzJkzB3PmzBGqjq5cuSIkFMrFqStXrlSLpBPI2v5hYWHw8vJCaGiokFCcOnXqswmF4nXqonHjxrCxsVEZ0bVv3774448/JB+ZExDfZKSmpmLOnDkwMTERjcx59OhRNG/eHG5ubjkOACbFNlfex/v37w8rKyuYmZlBU1NTpf1MXFwc7O3tUapUKVGioQ6J/po1a1C3bl0EBASI2gktXLgQVlZWGDRoUI6NoPNjQvFTJhMjRoxA//79AWRdHOzs7FTujg8dOoRRo0aJGk5JbfPmzXB0dER0dDTS09OxYMECODs7o379+rhw4QJ27NiBunXrikYpVAeXLl3C06dPkZqaivr162PJkiWwt7dH586dhZNZTEwMOnTogKioKLW4s1SIiorCrFmzcOrUKaGuUpFQeHl5fXZiI3Wog+3bty9MTU1RtmxZODg4oFChQsLkYpcuXULLli1RrVo10aBDgPoMSJWSkoKIiAj4+PggJCRESChOnz4Nf39/VKpUSfKZYxXb+8qVK9i5cye2bdsmJA+3b9+Gj48PLC0tsXnzZqxevRp9+/aFkZERrly5ImXYKhSJ8fv377F8+XJYWFiIumofPXoULVu2hKWlpeQD9Snv4wcOHIC7uzt27NiBw4cPo2zZsqhatapoGgEgq/qxUaNGkifLyrFHR0djypQpcHBwgKWlpcpAfIsXL4adnR26du2qdtMGfIufMplo1qwZBgwYgFevXsHGxgZdunQRfuR169YJ7SOknAE0pwvq7du34erqKpQ6xMfHIyoqCh4eHjA3N4eLiwsCAwPVqp/3tm3bYGVlhWHDhiEzMxM9e/YUZl9VvoAoZiDM3qsgrylv98GDB8PIyAguLi4oWLAgBgwYILTtiImJgZOTEypVqiRp90mF7N0o7969i9q1a+PSpUtISEhAQkIC2rRpA2NjY2ECrPPnz6N27doqjRrzmvJ+EB0djZs3bwrbOTU1FREREfD29hYlFEeOHEHPnj0lLYlQbO+tW7fCwsICPj4+MDQ0RJMmTYRSkxcvXqBt27YoUaIEHB0dUa1aNZUGu1LbsmULZDKZMHjZhw8fsHTpUpWEYv/+/Rg+fLik5xXlfXz79u3o0KGDaJbM58+fo0KFCvDz88OBAwdyfA91GJCqf//+sLW1xYcPH7Bp0ya4urqiXbt2Kknm9OnT8fvvv0t+g/U9/JTJxOzZs9GwYUNYW1ujU6dOAP43gU3Xrl0xePBgyYvZFbIXhY4bNw6WlpYqF92bN2/i+fPnwk6nDiUTu3btgq6uLpYsWSLqKdC+fXtYWFhg/PjxmDhxIrp06QJDQ0O1OsmeO3cONWvWFNVjOjo6okePHkLda0xMDExMTIR9SCrZG/CtXLkSnp6e8PPzw4cPH0QnsUaNGsHZ2Vmow797967aVA0MGDAAlpaWsLKygoWFBUaMGIGMjAykpaVh7NixqFixIkJDQ/H+/XvR66SMXzFwk6J05/Dhw9DS0oKfn58woBaQNXprfHy8Skt8dRAfH4+GDRuicOHCooRi2bJlKFKkSI7JptSlV3fv3kWVKlWgq6uLxo0bi9ZTJBQ1atT4bANYKcXFxaFnz56iZGf16tXw9PTEn3/+qTJYXH4YkOpL5OtkQrHxnz59imfPngnD7165cgXFixeHnZ2dkAkmJydjyJAhsLa2VpuqDUVjqPXr1wvLnj9/jkqVKgmlJ4qkR3lHU4eLw6dPn9CsWTMMGTIEQFaL8Tt37mDKlCnYvn07fv/9dwQEBKB8+fJo27ataPwDqS1YsADt27dXGeRrxYoVcHR0RM+ePYU759evX0t6pzZ8+HD4+fkBgDBux8SJE+Hq6gpbW1thPUV97LFjx2BjY6NyB5TX+0z2wZGOHj0KGxsbHDlyBMePH8fSpUuhpaUltKlJSUnB2LFj4eDgIHS3lPrkmpKSgkGDBglVpg8fPoSDgwMaNWoEb29veHh4CKNFqovsv7Pi8fv379GkSROYmZmJEorly5dDJpOp1dwPPXr0wMCBA3H16lU0bdoUjo6OKj0cFL1p1GWGW4WVK1dCU1MTZcqUURnVd9WqVfD09ESnTp1Uqjyk3te/h3ydTABZrV9tbGzg6OiIkiVLCgfK2bNnYW5ujkqVKsHT0xMNGjRA4cKFJW1smX2HWbhwIdq3bw9DQ0M0aNBAqN7o0KGDWnRt+jfJycnw8vJCr1698PbtW4SEhKBq1aqwsrJCsWLFMG3aNCQmJiIpKUltSoEUhg0bBk1NTbi4uKj0KFm5ciVcXFzwxx9/iKo3pEoo7t69K5RCKQYui4+Px4IFC1C4cGE0b95ctP65c+dgY2Mjeb23spUrV6Jbt24ICwsTLT9w4ABkMhnmz58PIOviLXUj0exjbyiqZT58+IAKFSrgzz//BABhBlNvb2+1SygAYN68ecL+ojw4XOPGjWFubo7z588DyNqXdu7cqRZVpkBWCY+rq6vQs+TZs2do0KAB/P39VcbriIuLU5u4FW7evImgoCBoaWkJpZ7K1elr1qyBra2t2o1r9D3ky2RCcXA8fPgQhQsXxpw5c7Bhwwa0bNkSOjo6Qj/1GzduYNGiRejevTsWLVokafdP5TuG7G01bt68iS5duqB8+fIoV64cwsPDIZPJVAZeUTerVq2Crq4ujIyM0KhRI6E0JTQ0FP7+/mpRFfO5O/KZM2fCwsICw4YNE40uCmT1927VqpWkJUDZG01u3boVMplMaA/x4cMHzJkzB87OzggKCsKVK1dw6tQpBAYGwtvbW7LYAwICMHXqVOHxw4cPERgYCAMDA3Tt2hVA1m+iOAb69u2LKlWqqNVAPbt37xZ6wSiqi3bv3o3y5csLCeahQ4dQuXJlNGnSRPJ2QID4RuX9+/dwdnaGra2tyvD1z58/h5OTE0qVKiXsSwpSX5jHjRuHtm3bomPHjsKEbkBWF9X69evD399fZbAnQD3aSCgvu3fvHnx9fWFvby9sf+Vz/t69eyXf1j9CvkwmgKwGWlu3bhWK2YGsu+WuXbtCR0dHaNWubqZMmYL27dujVatWePz4sXDBTU1NxYcPHxAeHo7AwEDIZDK0b99e2mC/wI0bN4S6QcXB1bNnT7Rr107U914Kygf70aNHsWfPHmzevFlYNnHiRFhbW2PUqFEqvTakHJr89OnTkMlkoiLcS5cuoUmTJihatKhwx/P+/XvMnTsXFhYW0NXVxR9//IGQkBBh2Oa8PmEpGptlL4n6+++/hdEWFQMOKbbv6NGj4evrqxZVdwrNmzcXSnwU2/Cvv/5CyZIlhfiHDx+OgQMHqt3EXYrf/sGDB6hSpQpKlCgh6imQmpqKBg0awMTEBHXq1JEqTBXp6ekYOXIkZDIZKlSooNL9+smTJ2jYsCHKlCkjjO0hJeX99dChQ9i8eTP2798vTBXw+PFj+Pj4oESJEsIsyNmPi58tociXyURKSgqCgoIgk8lQr1490XPJycno0qULjIyMhDHa1cXkyZNhamqKbt26wcnJCdbW1ti7d6/KRTc+Ph4bNmyAlpaWaCIydXfr1i0MGTIExsbGatVGYvDgwShdujTKli0LJycneHp64tWrVwCyEgpbW1uMHTtW5Q5TqnrMtLQ0bN68Gfr6+qLW9tevX0eLFi1gYWEhJBSKEgofHx+0atVKWDev54FQnEQVJ9mpU6eiY8eOwvPHjh1D/fr14ejoiGPHjiEjIwMJCQnw9/dH48aN1arOeMCAAUI7FYUbN26gXLlycHNzg6enJ4yMjNSiQbHyRW38+PH4888/heTh4cOHqFSpEkqUKCEkyxkZGWjdurVocjop5PTZ8fHxmD59OjQ0NISB74D/XXQfPnyIQYMGqdVFeMCAAShSpAhcXV1RoEAB1KlTB3/99ReArISiUqVKKF26tErp588oXyYTQNYP1a5dOxgZGQn1w4oT0qdPn9C6dWsULVpU0oFjsh8wQ4cOxZ49e4THDRs2RKFChbBr1y5RMZhcLkdqaipq1aolOqjU2YULF9CqVSs4OzurxUlWYc6cOShUqJAwYujChQshk8lELa0nTJiAAgUKYPny5VKFKVDeZ7Zt2wYtLS2Eh4cLy65du6aSULx79w6zZ8+Gu7s7OnfunOcX5uHDh0NLS0tIxpKSkjBt2jQYGRkJs64CWXdwAQEB0NDQgKurK9q3bw9PT88cGxnntZiYGGGo8Z07d8Lb2xsJCQmiC9eZM2cwadIkDBs2TJixV0rK+8qtW7fQq1cvyGQyDBo0CK9fvwaQVUJRtWpVmJubo0OHDqhQoQI8PDyE7yVFQqH8mc+fP1dpED927FjIZDIsWLBAWJa9ylSKhGLVqlWiG79Vq1ahSJEi+Oeff/Dp0ydcvnwZjRs3RvXq1YWq9nv37qFUqVJo1qxZnseb1/JFMqE4ySQkJOD169fCzvj27VsEBgaiUKFCQvc55YRCUbwkBeUT4+HDhxEVFYU2bdqo1FM2bNgQFhYW2L17t0pbCh8fH/Tp0ydP4s2t5ORkHD9+XC3qj5X17NlTSMi2bNkCY2NjoT2Ccj39qlWrJL/jUd5nJk2ahJCQEJiamkImkyE0NFR47tq1a8IAQ4qGaomJiZg/f74kLdzv3r0Lf39/2NvbCw1a37x5g4ULF8Lc3By9e/cW1j127BgaNWqEEiVKYOXKlcJyKcd8uXLlCszNzWFubo6aNWvC0dERhQoVwrZt21Ra3auj/v37w8HBASEhIahevTo0NDTQs2dPIaH49OkT+vbti5YtWwrtEQDpE4lhw4ahTJkyMDExgbu7O6ZOnYr4+HgAWQmFhoYGFi5cmOcx5sTX1xcuLi7IyMgQvkPfvn0RFBQE4H/H7tWrV1G1alW0a9dOWP7s2TPJzy15Qa2TCeWBerZv345atWrBxsYGLVq0wMSJEwFkjXwWFBSEQoUKCd35pC4yzT4UrJGREezt7SGTyTBixAiVetYmTZpAJpMJd5pA1jwFlpaWajeSXn7j6+uLiRMn4tChQzAwMBB6DmRmZmLs2LEqJyt1OOhHjx4tlFht374dI0eOhLa2tmgI5OvXr6NWrVqoV6+ecHJLSEjAkiVLJJnO/enTpwgICECxYsWEMUfevn2L+fPnqyQUBw4cQPPmzVG+fHmhV4HUx+yJEydw8OBBTJ8+XRh4TdG93NHREaVKlcLYsWPVrmfSoUOHYGJiIppdeOPGjdDQ0EBISIiovYTy3X1eN47OfpMxYcIEmJubY9OmTTh9+jQ6deqEihUrom/fvkhISBAmSZPJZKLxPKSwb98+ODg4COdtxTgRgwYNQvXq1YVu0IrjcNOmTShYsKBKTzF1OLf8SGqZTGRvQ7B7927o6upiypQpOHXqFLp06QJtbW1hSNVnz57h999/h0wmw+3bt6UIWaB8Ujx58iT8/f1x5MgRPH/+HG3btkXJkiWxbNkyJCYmil4XHh4u2tlevXol1Ouz//a5A3XWrFn47bffoKurK+oh8fbtW9SrV09IStVFcnIyateujQkTJgjLkpKSsGrVKmhqamLAgAHC8gcPHggnMCkmwVK+y1y/fj2mTJkCmUwmGulUkVAUKlRINNX10aNH0axZM9jb2+PcuXN5FjPwv22UnJz82WpQf39/DB06FPfv38f69esxevRoyWf/zMm+ffuERn7KF7Tly5dDQ0MD4eHhKlPP57UyZcoIA79lZmbi3bt3qFq1KmbPni1ab/z48ShbtqyQPCQkJGD16tWS9wq7ffs2DA0NMXfuXISFhcHBwQEZGRnYsWMHZDIZNm7cKFp/79698PDwEEqGfhVql0x069YNQ4cOFUolPn78iKZNmyIiIgJAViMdKysrUbEvkDWsbYsWLdRmQKoNGzagVatWKqMntmvXDqVLl84xoQDUY2TL/Eb5Anr27FkcP35cGMDs8uXL8PDwgJeXlzCJ0aNHj1C3bl14e3ur3fb+9OkTSpcurbJ/K44DmUyGDh06iJ6TuifEwIEDYWdnhylTpqBLly4oVaoU7OzshDuzt2/fCm1VZs6cKbzu77//Rtu2bVVmTvyRFPvKrl27ULNmTbi5uaF27drYuXOncOeZlpaGKlWqiNqqqKuTJ09CU1NTqD5VVGHcv38fZmZmQpWHVDcmU6ZMQdmyZVWS3AoVKgjndOVjsGrVqiojXmZfJy9lZmYiJSUFs2bNgpGREQwMDEQlDkOGDEHBggWxePFi3LhxAy9evEBAQABq1aoleWlbXlOrZGLFihUwNjZWGViqSpUq2LVrF54+fQpra2t06dJFeC4qKkqoHlCnYqROnTrB2NgY5cuXV2lZ3759ezg7O2P27Nl53ur+ZxIcHIzDhw8LjwcNGgRTU1NYWVmhcOHCQvfgU6dOwdPTE6VLl4atrS0qVKgAHx8fyec4+VwSEBERAQ8PD5w4cUK0fPjw4ahduzZq164teQKhcOfOHdjY2Ih6Tl25cgW//fYb7O3thRKKuLg4bNu2TWVbS7H/7969G1paWhg0aBDmzp2LmjVromzZspg2bZrQjmb48OFo0KABAOmrYADxvpL9t2/ZsiWcnJxEA5W9ePECffv2xbp166ChoYHQ0FBJJpOaMGEC7OzsAGQlnf3794dcLke9evVQpUoVIUlQfKewsDC16d2jvK+OHTsWBQoUQOHChTFv3jxheVJSEsaNGwcDAwNYWVkJEwRK2S5FKmqVTAwcOFAY+TEqKgpr1qyBXC5HQEAA+vXrBwcHB3Tq1EnY0WJjY9GmTRssW7ZM0p3vcztMeHg4SpQogZEjRwp3ygoNGjRAy5Yt1eKgyY8yMjJQrVo1FClSBKdPn8aJEyfg5OSEI0eO4NKlS+jSpQt0dHSwYcMGAFmlEUePHsWcOXPw999/Sz6NuPI+c//+fVy5ckWoj79y5Qr8/PzQokULoYHl+/fvUb9+fSxdujTH95DKxYsXoa+vL5pvIDMzE6dOnYKRkZFooCeF9PT0PNvvlYuaMzIykJycjMDAQAwaNEi0Xq9eveDq6ipUnQ4bNgylSpVSi5Ir5d954cKF6NatG9q3b48lS5YgJSUFd+/eRf369WFlZYWlS5diw4YNqF27Nnx9fQEAe/bsgUwmw8CBA/MscVb8vteuXUPlypVRsmRJGBsbC+15Hj16BAsLC7Ro0QIfPnxASkoK0tPT8dtvv0k+MR2QVZqmsG7dOoSHh+PkyZMYN24crK2tRQOzAVnH7OHDh7F//37Jzy1SUatkYu/evbC0tESzZs0gk8mEC0FUVBQ0NDRQqVIl0fpDhgxBqVKl8rSYNDvlA/3OnTt4/PixaKTNPn36wNPTE2PHjv3sBEacUHybtLQ0NG3aFFZWVpg2bRpGjhwpej4kJATa2toqdZoK6jCNuGIfNjMzg52dHYYNG4YPHz7g5MmTqF27NqysrFChQgW4uLigbNmywglKin0mp8/MyMhAuXLlhDtOhYSEBPj4+EAmk+H333/Pwyj/Z9myZWjevLlKolOlShWMGDECgLh9VpUqVYTSiAcPHkjSkPXfDBw4EGZmZggJCUGVKlVQrlw5BAQEICUlBc+ePUPv3r1hYWGBsmXLonr16qLvtn//fqGBel5QPrYU1XM+Pj6idY4fP44iRYrAxcUFv/32GypWrAgXFxfJL8InTpyArq4unj9/jn79+qFkyZJCCduTJ08wfPjwHBMKZepUSp5XJE8mIiMjRUWdbdq0gUwmE7rcAFknsenTp0Mmk+HPP/9E165dERwcDGNjY0nnIMh+UXB1dUWRIkXg4OCA0aNHC8/17t0bXl5eGDdunEoJhTrcXeZnaWlpQvLZqlUrlQter169YGBgIPmcDwrK8U2dOhWFChXCjh07cPPmTQwdOhQVK1ZEp06dkJiYiCdPnmDXrl0YMGAApk6dKpxkpZ7RMT09XWi4KJfLMXLkSFSqVEmYWwbI6nbbpEkTnD59WpJ9/NatW5g7dy7KlSuHLl26iAZRCwgIQM2aNYXHihKhUaNGwd/fP89j/RL//PMP7O3thXY/QNZNlo+PDxo3biwUq7969Qrx8fHCfpaamirpzcrOnTvRoUMHzJo1CxUrVkSNGjWQlJQkPB8fH4+IiAiEh4dj/Pjxwj4uZULx6tUrNGnSBMbGxjA2Nla5WY2JicHw4cNhY2OTb8YByguSJhP79u2Dv7+/MDrYmzdv4O7ujhYtWsDe3l40MVBGRgaioqLQsGFDBAYGonfv3nmaaf+bCRMmwMzMDPv27cP27dsxffp0aGtrixrR9e3bF3Z2dqK+9ezr5XRi/PTpE9q2bQtjY2OhWkBZmzZtJL9IKAbNArL25U+fPqFOnToYO3asaL0FCxbAxcXls/uJFCdZ5WRg0qRJaNCgARwcHBAWFoYLFy7g06dP6NKlC9zd3VGvXj1MmTIFlStXhre3t5D45GUC1L17d9jY2ADI6tVQvnx5/Pnnn8JgahcvXoSxsbEwV4hC27Zt0bRpU9G8EFLJnoAdOnQI5ubmop4ZKSkpWL16NcqWLSvcVP1b24q8sHnzZuG83adPHzRo0ABv3rwBkDW/jGLqcOWEIjt1SPpHjRoFmUwmqppRjismJgYjR46EhoaGUIL+q5M0mUhJSREGlrp16xYyMjKQmJiIhIQETJ48GXZ2diozDSqK7tRhZkEgK/MPDAzEpEmTROts27YNGhoaou6Is2fPVosDJb9SPjnGxsaqzKfx+++/w8LCQmVgsOyvzWsTJ05EmTJlhFHxgKykoEaNGkJXT+UkoWnTpvjtt9/yPM7ssl9QhwwZAnNzc0RERGDo0KFwdXVF9erVceDAAaSkpGDVqlUICAiAn58fmjVrJkkjtBMnTqBYsWLC7MHA/ybp6tixo1BCsW7dOhgbG6Nq1arCXDLZ236ogwkTJmD58uW4cOECnJycVKYIeP36NQwMDLBmzRqJIvyfjIwMLF26FDKZDL6+vtDX1xeNk5Oeno7IyEhUqFABNWvWFBIKqas1ANV9/f79+zh16hSaNGkCU1NT4XsojzPy+vVrLF68mM/p/0+yZEL5BHPv3j14eHige/fuQvHpixcvMGXKFNjZ2Ym6aClOUFLdOSh/ruJuwN7eHkOHDhWWK77bn3/+iebNm6u0WOedL3fCw8Ph7u4OQ0NDtG7dWtQoUTHVvPIAYApSJRSHDh1Co0aNRMPsAlm9ehwdHYW2NIp9a8KECQgMDFSLuRMU/966dQtOTk6iYcgvXryI5s2bo1atWqJBiZT397y+UFy+fBl6eno4duwYdu/eDQ8PDwBZJRQeHh7o2LGj0H382rVraNasGRo0aIDWrVurxXwyyr/56tWrUbhwYVy5cgXv3r1D5cqVUbt2bdFw9a9fv0b58uVF+5XUqlatCplMJup1p9wocdu2bahYsSLc3d0lnwwQEG/zmJgY3Lx5U7gOxcfHIygoCKampqJxRqZNmyYaYZnP6WrQZgLIKm0IDw+Hr68vevfurZJQODg4qPS7l4JyIhEeHo5y5crhw4cPGDx4MLy9vVW6tPbp0wcBAQF5HeZPR/lgnz9/PiwtLbFy5UosWbIEjRo1Qvny5YVBnuRyuTCiqDpcHBROnjyJhg0bws/PD9u3bweQNQR2qVKlULVqVTx79gwJCQlIS0tDtWrVJJ0xdvDgwejRo4foBPnw4UMULVoUe/fuBfC/Y+HSpUswNTXNsZFrXif8mZmZeP/+PQYMGABLS0sUKFBAmHQJAFauXKlSQqEg5XDeOdm3bx/Gjh2LuXPnCsseP36M4sWLw8/PD6NGjcKWLVtQq1YtuLu7q01JLZBVRTBs2DAUKFBANKuzYhunp6fjr7/+QnBwsORtxpRjHzZsGHx8fGBgYIDff/9diP3169do1KgRDA0NsWjRIvj5+Um+zdWRWiQTQFa996hRo+Dj4yNKKF6+fInRo0ejbNmyajOi2NmzZxEQEIB//vkHQFZL6apVqyI4OFhIKBISElCzZk3RrI8sd86cOYOwsDBRe4InT54gPDwcnp6e2L9/P4Cs5HTIkCFqcbArn6yOHz+uklDcvHkTTk5OsLW1hZubG7y8vODq6ipZCVxycjJ69OiBihUrirbh3bt3YWNjIzSyVO7e+dtvv4kuGlJQ3k7Lli2DTCaDmZmZqMEikJVQeHh4oEuXLqJ5N6RuI6Egl8vx6tUryGQyyGQyUYknkDUsdbt27VCuXDmUL18eDRo0kHS8FOVkIC0tTfR40aJF0NTUVNk3lKugAPW4q4+IiEChQoVw4MABPHnyBI0bN4apqalQ+hwfHy+0C1Le5lInQ+okz5MJxUF748YNREVF4dixY0Jr2eTkZIwcOVIloXj16pWo36+UVq9ejd9//x2BgYH49OmTsHzdunXw9/dH0aJF4evri/Lly6NMmTKSV8v8DORyOa5duyacYKdPny56PiYmBmXKlFFpzAio34BUR48eRcOGDVGtWjVR0fTcuXMxefJkzJo1S7IW7coT6g0ZMgQ+Pj4ICwsT4hgzZgwKFiwoijsxMRFubm6iO2gpbdmyBX/88QcWLVqEbt26wdbWVhi8TGH16tUoXrw4QkND1WKujZzODdevX0ehQoXg4+OjMkNpWloakpKSEBsbK7xW6oa506ZNwx9//AFvb29MmjRJiHnp0qUoWLAgBgwYgCdPnqBevXpo2LCh2pwP5XI54uLiUL16dWzduhVA1sis+vr6QvWpcqnV8+fPJd3m6ixPkwnFj7B161bY2NjAxcUFZcqUQUBAgDDanyKh8PX1RceOHf+11a8Uxo0bBysrK1haWuLu3bui565evYoNGzZgwIABkl4UfgY5nWwiIyOFcQuyzzfwxx9/oGnTpmpxl6Mc+9q1azFv3jysW7dOWHbkyBGhhOJzkxhJnQQlJCQgLCwMPj4+GDx4sLAPKybB6tq1K/r374+aNWuiTJkyarGPnzlzBjKZTEhsrly5gg4dOsDOzg579uwRrbt+/XpJx6dRUL4gKxIbxW8fHR0NPT09NG3aVJgeHVA9NqS+MA8ePBiFChXCwoULMXbsWLi6uqJatWpITExEamoq1q1bh4IFC8LJyQnu7u5qV6WUmJgIDw8P3Lx5E9u3b4eBgYEw/XlKSgqWLl0qlEIrcImEqjwvmVB0cVIMSbp+/XoYGBigbNmywuhzycnJGDhwIGrVqiXZmPLKk+Zkt3DhQjg4OKBjx46iAapyog4Xt/xGebtnn4hp/fr1kMlk6NOnj9BlS3EyULfp2sPCwmBmZgZnZ2eULl1aNHjTkSNH0KhRI9SoUUNUry+VnPb19+/fC+2BlCeiW7RoERo0aIDatWujU6dOkg9LDmTdyS9evFg0QRqQ1cjyzz//hK2trUpCITXlbT59+nS0bNkSfn5+GDt2rHBnf/78eejp6aFZs2aihEJdXLhwAS4uLkKD5wMHDkBHRwfLly8Xrffo0SMcPHhQ8tEhc9rP3717By8vLzRv3hxmZmbCzMJA1kCEAQEBks9cmh/kaTKRlJSE4OBgDB48GEBWkZG9vT0aNGiAgIAAuLq6CiUUnz59QlxcXF6G91kHDhzAwYMHRdP8Tps2DeXLl0doaKhwhyP1HcLPZvLkyQgKCkK7du1w5MgR4c5tzZo1kMlkcHV1Rdu2bfH777/D3d1d8iJr5RFNExIS0KhRI1y9ehVv3rzBli1b4OTkhBo1agjrHz16FFWrVkVISIhUIQMQn2DPnTuHO3fuCJMZxcfHIywsDN7e3qISiuxJnpQlE0+ePIGXlxeMjIyEZEL57vfatWvo3Lkz9PX1Rb1R1MXgwYNhZmaGMWPGoHnz5vD19YWrq6vQa+PChQswMjJC9erVRT0I1MGJEyfg6OgIIKuKydDQULir//jxI7Zu3aoyUJ/UpW5AVnLz8eNHoedRZGQkChYsKJpkLCEhAXXr1oW/vz/fFH6BH55MZL/ARkdH48SJE3j//j3c3d3RuXNnAFkXCE1NTVhZWeHgwYM/OqzPCgkJwfjx44XHffr0QeHChWFhYQF3d3fRkM1TpkwR7oizV3mw3Jk1axbMzMwwdOhQlC5dGpUqVcLs2bOFrmSbNm2CTCaDt7e36M5eqiJU5RPVkydPcPXqVQQGBgpjYaSmpmLXrl1wdHQUjb548eJFtSkyVRRX29nZoXLlysIkaoqEomLFiqI2FApSJ9EfPnzAlClTUKJECdHgZMr7wqVLlxASEqI2x6niN79+/TocHR2FUlkgq+dPo0aNUKFCBSGpO3fuHGrUqCHpvqL8Oyv+f/z4cVSqVAlr1qyBkZGR6K7+0KFDCA4OVpuZnBWGDRsGBwcHuLm5ITQ0VBg0ccqUKcLoy3Xr1kW1atVQtmxZtSh5yw/ypGTi7NmzuHfvnmhZVFQUKleuLPyQR48ehZ+fH0JDQyUbE//Vq1fo1KkTnJycMG/ePDx+/BgeHh64dOkSzp49i7Fjx6JYsWIYOHCg8Jpp06bB2tqah1XNpewnySFDhggNolJSUtC2bVtUqlQJs2bNEhKKDRs2QCaTYfDgwcL00VILCwuDtbU1PD09YWNjIxpYS5FQuLi4wM3NTfQ6KS4SyheHM2fOwMXFBadOncKGDRsQHBwMc3NzoYdMfHw8hgwZghIlSgh3nlLJKXlJSEjAvHnzUKJECdEU7coJhdQlV61bt1Y5T5w5cwb6+vo4f/68aPn+/ftRtmzZHG+spNhXlD8zp+nEZTIZZs+eLSz79OkT6tatiyZNmqhNsgxklUDY2dlhy5Yt6Nu3L/z9/VGzZk1hRtW///4bISEhCAkJwYwZM7jd21f44clEamoqbG1tUb58eVGSsGbNGtHcGmFhYejatavKZFh57cGDBxgwYABcXFzQtm1b0Qx2r1+/FgbSUp51cP369Zy15oLyyWn37t3YsWMHOnTogJMnTwrLP3z4ICQUs2fPFnrSrFu3DlpaWujZs6ckPX6UT5SbN29GsWLFsHbtWuFOuXLlyioXtC1btqBVq1ZqMSiVwvHjx0VJ8p07dxAcHAxTU1MhoXj79i0WLFigFmManDx5EpMmTcLgwYOFu/qUlBRhPo6OHTsKr1GHC8G7d+/Qq1cvGBsbi0bFffjwIdzd3bFo0SLRfpKZmQk7OztMnDhRinA/a8aMGWjcuDEGDx6Mffv2AcgaLdLV1RXly5fH4sWLMX/+fNSsWROurq4qU4znteyfu3HjRtEEXVu2bEG1atVQvXp1YeC17Eknn9u/TJ6UTMTExKBUqVKoUqWK0GDx8uXLqF27Nuzt7eHv7y/5ULbKO0xsbCz69esHa2trBAYGitZ7/fo1pk6diuLFi6uM7c873ddTTiT69OkDU1NTmJubC5O6KZ8MEhISEBwcDAcHB2zatEl47fLly2FiYoLY2Ng8j19h/fr1mDVrltCwOCMjA+fOnUPJkiXh6+srulAoX9yk3mcmTJiAFi1aoEaNGmjZsqXoubt376JDhw6wsLBQGcZZyri3bNkCAwMDVKtWTZiZtG/fvnj16hU+ffqEOXPmwNPTE82bN5csxpy8ePECw4YNg6GhIRYuXCgsb9q0KcqUKYNDhw4Jy96/fw8vLy+sWrVKilBzNGnSJFhYWCA4OBgVKlSAh4eHMObL06dPUbduXbi7u6NKlSr4888/RYNUSUH53LJgwQKMHDkSjRo1Ummku2XLFqGEQlGtxL7ed08mFD+g4mSjuBg8e/YM9vb28PX1FVolHz58GBEREejdu7dKX+q8dOvWLaEL6ogRI3Dx4kU8efIEffv2haGhoUrR5OvXrzFy5Eg0btxY8vrin8W9e/dQp04dXLhwAQ8ePEDfvn3h6emJ4cOHi7bxhw8fMHbsWGH/Ujz34cMHSeIGspIcKysryGQyUYmVXC7H+fPnUbJkSVStWlXyYnZAfKc2YcIEWFhYoF27dqhRowY0NTVVkoa7d++iYcOGwkiuUu/v9+/fh52dHZYsWSLEsmHDBpibmwvznLx//x6TJk1ClSpVhOJrdfHixQsMHToUhoaGQuIJAL6+vnBxcUG3bt0wY8YMVK9eXTTlvBSy39UPGjRISHiuXbuGHj16oHTp0lixYoWwTlxcnGj8HXXotREeHg5TU1NUrFgRNjY2sLa2VhkAMTIyEmXKlFGLkZbzq1wnEzkVXx05cgRNmjRRmXPg2bNnsLOzg5+fHx49eiSsL+UJ6vr165DJZJg3bx569uwJPT09YQz2x48fo3///nB0dBTVBwIQTfMr9Qk2v1uxYgUqVqyIpk2bChdc5W6Jw4YNy3E/y8jIkOQ3yCmWp0+fomLFinBxcVEZv+DChQswMDAQVZlJ7c6dOxg6dCiOHDkCIKu9UPfu3VGwYEGVLpQxMTFqU+99/fp1lChRApcvXxb95uvWrYOGhobQGywxMVGlF4EUPrevKBIK5WnbBw8ejMDAQFSuXBlt2rRRm5EtDx48iNOnT6NWrVqiqsebN2+iR48ecHJywrJly1TeQx3Oi3FxcejZsyeio6ORkZGBo0ePolKlSnBxcVFJKI4ePSp5SWF+lqtkQrHDxcTEYO3atVi8eDGeP3+OM2fOQFNTEy1bthTuGBU/0q5du4RZ5aTsUqk8j8acOXOgra0NPT09ob+0IqYHDx6gf//+cHJyynGUP3U4YPKz1NRUjB8/Ho6OjnBxcRE9p0goKlWqhF69eqnFtlY+yf7999/Ytm2bMDS2YiTOChUqiCa+ksvluH37ttqcqA4dOgSZTAZzc3Oh3hvIqtfv3r07tLW1RcsV1CGhOH/+PLS0tIRu2soTRZUpU0ZUHy415f31zp07ovlAXr58iSFDhsDQ0FB0XklPT0diYqLocV5TjnvAgAHQ19eHtbU1tLW1VUafvXXrFnr16gVTU1OVkUaltmrVKmhoaMDT01PoUSKXy3Hq1Cmh+21Oww+oy3Ga33xzMqHctcnNzQ1t2rQRFfFeuHABhQsXRuPGjUWNKvft24f69eujXLlyotKJvNS2bVt069ZNOFC3b98uDNU8d+5clUagDx48wMCBA2FsbIzNmzdLEfJPI6eEID4+HnPmzIGlpaWo4RyQlVB069YNnTt3ljyZUP58Ra+N8uXLQ0dHB+3bt0dMTAyePn0KV1dXeHt7q4zSCajPiWrs2LGQyWSYMWOG6Hu9e/cOISEhkMlkKqP+5bXsVaYKjRs3houLi6hBd2pqKjw9PbF48eI8jTEngwcPFp3bBg8eDCsrKxQpUgSVKlUSuqfGxsZiyJAhMDIyErWhUJB6f3/48CHc3Nxw4cIFHD16FH379oWOjo7KNr569SqmTZumNvu2wu3bt1G/fn1oa2uLbh4VCUW1atVQqFAhxMfHSxfkT+SbkgnFTn79+nWYmppi2LBhojrr7du34+DBg7h8+TIsLS3RqFEj3L9/HykpKRgxYgSGDx8uaV1gTEyMUJyuPAjMzJkzIZPJMGXKFJWE4vXr15g9e7baHTD5ifKdbWxsLBITE4UunfHx8ZgxYwbKlSsnmroYyBr8Rp2qlCZNmoSiRYsKExbNmTMHMpkMjRs3RkxMDGJiYlCuXDnY29tL2igU+PfShLCwMGhpaWH9+vWi5W/evMHUqVMlPUYVv/OhQ4fQs2dPhIeH49SpUwCyShVr1aoFR0dHHDp0CMeOHcPQoUNRqFAhybqVK7x58wZmZmaoWLEinj9/jm3btqF48eKIiorCnj17UKlSJZQoUULoChobG4thw4ZBJpMhKipK0tiVjRs3Dm3btkXPnj2FZc+fPxdKUz6XtKnb+fH+/fvw8/NDsWLFhGEIgKz968iRI+jevbvaxZxffXPJxNu3b3McvW/ixImQyWTw9/fHwYMHcfPmTdja2sLS0hJlypSBmZmZMLKbFJRPkIsXL0b58uVFragV8c+YMUNIKNq2bSuKmXe+r5e94V+VKlVQtmxZtGzZUij+ffv2LWbMmAE3N7cc2xeoQyLx/PlztG/fXphye+vWrTA1NcXw4cNhbGyMxo0b49GjR3j06BHatGkj6b7yb1UyCgMHDswxoVCQMqHYv38/NDU10bx5c1haWuK3334TGi1euXIFzZs3h66uLkqXLg1XV1fR3aeUYmJi4OrqiqpVq2LBggWi9lZpaWmoUqUKihcvjgsXLgDIapS5aNEitejCCmSd38aMGQNNTU34+vqKnnv+/DmGDh0KExMTtRhb53PJsvK54t69e6hSpQrs7e1FCYUyPqfn3jcnEzdv3oSDgwMOHz4s/KALFiyAlpYW5s6di1q1aiEgIACnTp1CYmIi5s2bh7lz50o6Al32HebevXtwcXFBYGCgaHCYSZMmQUtLC23atEHFihVRvHhxtTnQ87shQ4bAwsICa9aswdq1a+Hr6wsHBwdhvJG3b99i1qxZsLS0xOTJk6UNNgefPn1CZGQk4uPjcf78edjb22PWrFkAsgYwUyTSyiUSUpyoPlclo6uri+DgYNFxOGjQIOjq6gqzJKqDmJgY9OvXTxgg682bN/jzzz9RsWJF0cX52rVrePLkiVoMva+8zWNiYuDi4gKZTCaM36F4Pi0tDVWrVkXJkiWFNloK6nKeSUxMxOzZs6GhoYGZM2eKnnvx4gVCQkJQs2ZNtUjwP336JJq3RHE9Uj4GHzx4gKpVq8LBwYG7f/4g35xMKIa/zn4AHT9+HEDWQV6jRg2UL19e7Wbnmzx5snChun//PsqVK4fatWuLEorFixcjODgYnTt35uFUv5M9e/agXLlyQl38rl27YGhoCFdXVxQtWhRXrlwBkNUCe9OmTWq7vRX7w4QJE1CvXj2hBGvOnDlo06YNAgIC1KKxIvD5KpkmTZqIEoouXbqgWrVqEkUpduHCBQQGBsLd3R3Hjh0TlsfGxqJjx46oWLGiSkNAqSn/3m/evAGQdT6sUKECXF1dVRqbp6enw8nJCU2bNs37YP+F8vk8KSkJkyZNgkwmE/U6AbKOUXWpeuzSpQsqVaqEW7duCb/Dxo0boa+vL2q39ODBAzg7O6NJkyZShfpT++Zk4sSJE9DW1haGPFbeoRQ/6OLFi1GhQgXJ+3orH+iDBg2CTCaDkZGRMNTxgwcPckwoFJPAAOpzx5CfZB9w6tatW8Jd2p49e1CoUCHMnz8f58+fh7W1NYoXL45z586J3kMdEwrFvt6hQwf4+vriw4cP+PTpE4KCgoTqD0D63g//ViVjYmKCJk2aiMZ3kfqioHD//n3UqFEDurq6KgMMxcXFoWvXrnBxcRGN0yAl5d956tSp6N69u1AtGhMTA2dnZ3h7ews9fJQblkq1fyvHkH3kTWWKhEJDQyPH7a0O+0xKSgpq1aqFevXqISEhQdjPs3fnB7KOCXU8p/wMvjmZiImJQeHChdGgQYPPTo3bv39/NGvWTNJ5E7KPsGhmZoalS5fCzc1N1Ir3wYMHcHd3R2BgoEo/e3U4YPKz8PBwYbTQN2/eID09HXXq1MHw4cMBZCVq/v7+KFy4MIKCggDkj23+zz//QEtLC2XKlEGpUqUkH2Qouy+pklEeRhhQn+0eExOD+vXro3LlyirtOWJjYxEaGipZb7DPGTRoECwsLLBhwwZRbIqEwsfHR616+KSnpyMoKAjLly8XDTS1bt069OjRQ3j86dMnYRKsLVu2SBHqZymOt+TkZNSrVw+enp7Q09PLsXeMMk4ovr9cjTOxZcsWFCxYEG3bthUGegKyRiMcOHAgTE1Ncf369VwH+T0MGDAAurq6uHHjBlJSUmBjYyPEpsjMHzx4gKJFi6JPnz5ShprvKV+Q9u/fD2dnZ1GJw7Nnz2BtbS3cMb958wbNmjXDgQMH1OZi9qWio6MxdOhQTJo0SS0nBfq3Kpm2bduqVZVMdg8fPkS9evXg7++PdevWiZ5Tt5gPHjyI4sWLiwZ1Av53LCjaUBQvXlzyHj7Kxo4di9KlSwsJ2/bt22FgYKBSjZScnIy1a9eq1b6toOiZt2nTJhQoUABly5YV9erJb+eU/CpXyURGRgYWLlyIAgUKwMnJCX/++Se6du2KoKAgWFpaqk3r6qdPn6J169ZCr4GXL1/CyMhINDCPIlN9+fIlZ63fycaNG9GnTx9hmGPFdk1NTUX9+vXh4eGBVatWwd/fH1WrVhUuEOp2ofga6nayzS9VMp+jSChq1aqF5cuXSx3OZy1fvhyurq6i0k7l9hFA1oi6rVq1Uovzi/IFdtq0aShdujT69u0LAwOD/2yIq277OJCVSBgbGwuN/4OCgtRu6vOf3XeZm+PMmTNo3Lgx3Nzc4Ovri7CwMJUpx/NSThclRTFeeno6MjIy4OLiIgxAJZfL0aBBA9GkOupwwOdnGRkZwiRMderUEZYrTmL79+9HUFAQnJ2dUbduXeEOWl0vavmdulfJ/JtHjx7B19cXDRo0kHQOlpwo9ud58+bByclJSCbkcrnwt3nzZqEbqII6nF+Uf/8OHTpAU1MTnTp1Uss7+X87L5w4cUJIJID/taGoWLEi99zIQ99toi91ODiArEl/OnTogDt37uDjx4+i55QPEm9vb2Ho3cDAQFhZWYkaIrGvk9MJKCUlBY0bN4aNjQ3WrFmT49S+L1++VLmDYz+GulfJ/JvHjx+L2naom5s3b0JTUxMjR44ULf/48SMaNGiQ41D8UlMcd1FRUTAyMkKzZs3g4OCADRs2iIYpl5pyInHs2DHs3btXNMDXwYMHsXPnTgD/258/ffqE0NBQvjnJQzIAoO8AAMlkMpX/56WEhATy8PCghIQEsrS0JG9vb6pSpQq1b99eWCc1NZW0tbWpVq1a5OXlRY8fP6bo6Gi6ceMGaWlpUUZGBhUoUCDPY8/P5HI5aWhoEBFRbGws6ejokFwuJ1NTU/r06RP9/vvv9O7dOxoyZAjVr1+ftLS0VPYR5fdgeYP39e9r8eLFFBISQt27d6egoCAqWLAgjR8/nl69ekXR0dGSbWvFsZbTOXrPnj3UqFEjmjt3LnXu3JlmzpxJCxYsoMGDB1Pbtm1JS0tLkphzEhYWRlFRUaSlpUXp6elkampK27ZtI0tLS9F62fdrPrfkEenymO8vIyMD4eHhWLhwIaKjozFlyhSYmJigdevWGD9+PNLS0oRsvFOnTpDJZHBzcxNKJPLLXZo6US6RGD16NCpXrgxbW1vUrVtXaDSXnJyMGjVqwMvLC5GRkVwCxH5KcrkcUVFRsLOzg7W1NVxdXVG7dm21mf0zJiYGr1+/xtu3bwFkHZcDBw4UVe8CwJgxY9CsWbM8jTO77CWds2fPRqFChYRhyBcsWACZTCYavVgdq2d+JT9VMgFkjV9gaGgoDID06dMnDB8+HDKZDB4eHpg0aRLu37+P3bt3o3bt2vmuuFddjRw5Eubm5li3bh2mT5+Orl27okCBAkIXreTkZNSpUwd2dnY4evSoxNEy9uPExcXh/v37uHv3rnAxl3r2z7Fjx8LHxweurq5wcXHB/v37AUDUJVQ58ZDywqyYL0k5nh49eggjcW7ZsgXGxsZYtGgRgKyxMJj0frpkAsja8ZT7Sbu4uKBhw4YYMGAAatWqJUyqw3X1uaPYfnFxcahcuTLWrFkjPPfu3TuMHTsWBgYGQq+Z5ORk9OnTR23a1zCWF6Sutx8xYgQKFSqEnTt34tatW6hWrRpMTU1zbJyonERIkVCMGTMGMplMaMCfmZkJuVyOypUrY9KkSTh06BAMDAwwf/584fmxY8di2bJleR4rE/spK5I8PDzoypUrFB8fTx4eHmRqakqrVq2iKVOm0IoVK2jdunVUr149of6Q642/XPv27al27dpERML2S09Pp2vXrlFqaqqwnqmpKXXq1IkqVqxIZ8+eJblcTrq6ujRjxgzS1NSkzMxMSeJnLK9JWV//7t07On78OC1fvpyCgoLozp07dPXqVRo3bhzZ2dmRXC4noqw2FEQkasckRbu3P/74g+rUqUN+fn50//590tDQIJlMRs2bN6edO3dSUFAQTZs2jbp3705ERO/fv6czZ87Qmzdv8jxWJvZTJhMdO3aktLQ0Mjc3JyMjI9qxYwcZGRkREZG1tTW1atWKChQoQBkZGRJHmv80bdqULl26RK1atRKWFSlShAICAuj48eP04sULYbmlpSXp6ekJJwVlmpqaeRYzY7+Cpk2b0rBhw0TLEhIS6NKlS+Th4UF///03tWnThsaPH0/du3enT58+0YQJE+jVq1eSJA45KVGiBC1btoy8vLzIz8+PHj16REREv/32GyUlJVGZMmXIxcWFiIgeP35Mbdu2pbi4OOrXr5+UYTP6CZMJRYYdGhpKrq6uNG3aNDIzMxOWK+MSia8XFBRE69evpwMHDlDLli2JKOvOq0qVKnThwgVatWoVvXz5koiIkpKSKD4+nuzt7SWMmLGfX0ZGBnl5edGkSZNo8uTJwnJ7e3uqU6cODR8+nBo1akQzZsygbt26ERHRy5cv6fjx43T+/HmpwhYoSkiIiA4fPky//fYbvXjxgmrVqkV3794lLy8vmjZtGmVmZlKnTp3Izs6OmjdvTm/fvqWTJ09SgQIFuLRTYt+ta6i6ef78OVWoUIFCQ0MpLCxM6nB+KnK5nA4ePEitWrWiGjVq0F9//UVERCNGjKDIyEjS09OjUqVK0aNHjyghIYEuX77MiRtjP1h6ejotWrSI+vbtS+PHj6eBAwcSUVaXynnz5lGTJk1o5cqVRET08eNHat68OaWnp9O+ffvUpqRw8ODBtGHDBurbty89ePCAjh49Sm/evKFjx46Ro6Mj3b17l168eEHXr18nR0dHql69OmlqanI3ZzXw0yYTRERz5syh0aNH0/Hjx4WiMfb1MjMzVU42GRkZdPjwYWrZsiVVr16dtmzZQkREUVFRdOXKFbp9+zaVKFGCRo8eLdw1qMsJi7GfifKxde7cOVqzZg3NmzePZs6cSaGhoSSXy6l169Z0/fp1srW1JXt7e7p27RolJibShQsXSEtLSy3GYrh//z7VrFmTZs6cSQ0bNiQiops3b1KvXr3o1q1bdPz4cSpZsqTK6/jcoh5+6mTiwYMHNGbMGFqxYoXkB0p+lD3bP3bsGMXHx5OXlxfZ2NgQEQnVHcoJBZF44DK+a2DsxwsLC6O9e/eSm5sbnT59mh4+fEhjxoyhYcOGkVwup0WLFtH58+cpMzOTSpUqRWFhYULbsbw+Pn19faljx47UoUMHYdnVq1epUqVKdPz4cfL09CSirFLQ6OhoCggIIEtLS4qMjCRHR8c8jZV9Iam6keQVRfcm7o74dVq3bo2VK1cKA+4MHDgQxsbGsLGxga6uLhYvXizMk7B//36YmZmhZcuWUobM2C9rx44dMDAwwKlTp5CZmYlnz55hwoQJkMlkGDdu3GdfJ9V58a+//spxyG4vLy+EhISIuusnJSXB19cXBQsWRL169fIyTPYVfvrbdcXdMReDfZ3k5GTq1asXbdu2jY4dO0aHDh2inTt30uXLl6l37940cOBAWr58OX348IFq165NGzdupE2bNtHIkSOlDp2xn1rXrl3p9evXomWxsbFUokQJqly5MmloaJC1tTX17NmTwsLCaNiwYbRgwYIc30uK8yIAatasGWlra1NERAQNHz6cMjMzSS6XU/369enixYs0Z84cYf3MzEwqXLgwHTlyhHbs2JHn8bIvw2XPTAT/Xz2xbds2Cg4Opm7dulHv3r2pevXqVKVKFSIimjBhAhUoUIBGjx5NREQdOnSgWrVq0ZkzZ8jDw0PK8Bn7qcXGxtLLly/J1NRUtNzW1pbu379Ply5dovLlyxMRkaGhIQUEBNCkSZOoZ8+epK+vT+3atZMibIFy24wXL15Q0aJFqXPnzmRgYECDBw+mPn360IsXL2jt2rW0Z88e8vf3p127dlFGRgb5+PiQhoaGWrTvYDmQumiEqZe4uDjcunVLeKyYw6RGjRoqs7COGDEC5ubmGDNmjOg5HlGUsR9v2bJlwiiWMTExqFmzJtq0aYOrV68K69y6dQsdOnTAtm3b1Oq4HDx4MJo2bYqkpCQsWrQIGhoaiIiIAAAkJiZi7dq1aNiwIWrUqIGWLVsK1a1SjybKPo+TCSbYvHkzAgMD4eTkJEzSBQC9e/dGgQIFsHbtWtFY/gDQp08f1KlThyfZYewHU27f8OHDB9jY2MDLywsvXrwAAKxduxa//fYb6tati7/++gunT59GQEAA6tevL/nUAcrnh2PHjqF8+fI4d+6csGzBggXQ0NBQad+hfL5Rp2SIqfqpe3OwL7ds2TIaNGgQTZ48mTw8PKh8+fKiHhmdOnWijRs30rJly6hhw4akra0tvBY5THHMGPsxxo0bRzY2NuTn50d169YlAwMD2rFjBxUpUoS2bt1K27Ztow0bNpCjoyMZGhrSyZMnSUtLSy2OzxUrVtD58+cpIyODFi9eLOrWuXDhQgoJCaHx48dT//79Re051CF29h8kTGSYmjhy5AgsLS1FE3UBWXcTyndDHTt2hKGhIf766y+VEgoumWDsx1Au2l+7di2sra2Fu/onT56gdOnS8Pb2xqtXr4T1Hjx4gPv370s6a2lOWrRoAZlMBk9PT6E3mPK5Y+HChZDJZFi7dq1UIbJvxK1YfmH4/0KpI0eOkIeHB/3++++i52UymTC6HBHR0qVLqWnTptSiRQs6deqUyrqMse9P0djw+PHjdPHiRQoLC6MKFSpQZmYm2dnZ0d9//03v37+nhg0b0vPnz4koa44LBwcHocGiFOO8KA+RrbBx40YKDQ2lJ0+eCL3BFKWaRFk9VSIjI6lFixZ5HS7LJU4mfmEymUwYGrtQoUJkaGiosg4AKlCgAD158oSIiJYvX07jxo2jatWq5XW4jP2SANDdu3cpMDCQZsyYIXQL1dTUJLlcLiQUHz58ID8/P4qLixO9XoqeD8o9Lm7fvk2PHj2iZ8+eERHRzJkzqX79+jRv3jzatGkTJSQkiBKKhg0b8kSM+RAnE784DQ0NsrKyovv371NiYqLK8zKZjFJSUuiPP/6gtWvXEhFReHg4H+yM/UBQasomk8modOnSFBkZSTY2NkIJBREJJQ92dna0a9cu8vLyIjMzM6nCJqKs2BWJxKBBg6h+/frk4eFBzZs3pzFjxhBR1k2Jr68vTZs2jTZt2iSUUCjjUXPzF04mGDk6OtKVK1fo+PHjQoKgXEQZFxdHFhYW5ODgIHodH+yMfX9yuVy4sCYlJQnL6tSpQ/PmzaMHDx7Q/Pnz6caNG0T0v4SiRIkStGHDBtLU1JRkBk0Aoti3bNlC69evp1mzZtGSJUsoICCAJk6cSH379iWirMaYVatWpQEDBtCxY8fyPF72fXFvjl8Y/r+FtGJAmMTERJo3bx5VrlyZ9PX1SS6X08ePH6ldu3aUlpZGu3bt4sFiGPuBoNRrYdKkSXT48GHS1NQkV1dXGj58OBkZGdG2bduod+/eVKdOHerTpw+5urpKHLWqw4cP04YNG8jBwUGYtTk5OZm2bNlCvXr1oilTplCXLl2IiGjixIk0cOBAHqU4n+Nk4henqNu8fPkytW/fnp4/f05NmjShevXq0bVr1+jIkSP0+vVrio6OVpvZBRn7GSknEtOmTaPRo0fTgAED6P79+3T9+nVKSEigc+fOkZmZGUVFRVHfvn3J09OTpkyZQsWLF5cs7s6dO1PFihWpY8eOJJfL6ebNm9S4cWN6+fIl9ezZkyZOnCism5iYSF26dCF9fX1asGABaWlpCc/x7J/5G18VfnGKxMDd3Z2OHj1KAQEBdOjQIWrcuDHt2bOHnJyc6OLFi6SlpUUZGRmcSDD2AygnEufPn6fLly/TunXraMSIEbR69WpauXIlFSlShPz8/Cg5OZkaNmxIkydPJrlcTsWKFZMs7nfv3lHJkiWFYbo1NDSoTJkyNHHiRCpWrBjt2rVL1PPL0NCQLC0t6eHDhyqJAycS+RuXTDAVHz9+pLdv35KdnZ1wguO7Bsa+v2HDhlHnzp2FhGDLli00duxY+vDhA/3111/k7e1NRFkliP/88w917dqVRowYQc2bNxe9jxQlhsg2kNSKFSvo3r17NH78eCIiioyMpHHjxlGpUqUoJCSEfH196f3791S/fn1ycHCglStX5mm87MfiFnRMoDghGRgYkIGBgbAcACcSjH1ne/fupZcvX5K1tbWwrFKlSuTo6EhRUVG0ZcsWqlChAslkMtLQ0KBy5cpRSkoKPX78WOW9pCgxVE4kkpKS6MSJE3T16lUyNDSk8PBwaty4MaWnp9OECRPo999/Jw8PDzIyMqLU1FRatGgREfHIlj8TLrP+SSkKnDIzMyk5OZmIspKFnAaSUfjcCYkPdsa+v8DAQFqyZAkVKFCAtm7dSteuXSNra2uaN28eNW7cmA4fPiyaOlxLS4v09fWpYMGCEkadJft5RF9fnyIiIsjX15e2b99O48aNIyKiFi1a0OjRo6lIkSKUnJxMNWvWpHPnzpG2tjalpaXxueUnwtUcP7H09HTq1asX+fj4UJMmTcjIyIiIiP766y969OgRDR48WOIIGfs1Kd+RX716ldq1a0clSpSgcePGkbOzM7169Yp69eolTCnu5uZG0dHRdPPmTbpx44ak3bKVq1SuXbtGxsbGpKurSxYWFvT8+XOaNGkSnTt3jurXr09Dhw4loqxzzowZM6hUqVI0YMAAKleunGTxsx+DSyZ+YlpaWqStrU0bN26kXbt2ERHRnj17qE2bNqSvry9xdIz9mrIX7ZcrV4569epFHz58oBEjRtDNmzfJ0tKS5s6dS97e3hQVFUWnTp2iatWq0Z07d6hAgQKSjCOhoEgkwsPDqVatWlS9enVq3bo1Xb16laytrWnw4MHk7e1Nu3btEtpPNG/enPr370/37t2jESNG0OXLlyWLn/0YnEz8pBTFkLNmzaIKFSrQ+vXrqV+/ftSiRQtavHgxhYSESBwhY78e5UGdPn36RGlpaURE1LFjR2rdujXFxcXRyJEj6ebNm1SkSBGaNWsWNWrUiDQ0NETD3Uvdq+rYsWMUGRlJGzZsoEGDBpGhoSHVrVuXLl26JCQUPj4+tGzZMlq1ahURETVt2pRCQkIoMTGRChcuLGn87Pvjao6fWEZGhlAc2qxZM4qKiqLg4GCaN2+eWtS7MvarGj9+PO3du5csLS2pZs2a1LVrVyIiWrZsGa1Zs4YKFy5Mo0ePJmdnZ3r58iWFhoZSXFyccEHOa9l7ixw6dIiOHz9Oo0ePJqKsqpqRI0fS2bNnaffu3VS+fHl6+vQpbd26lUJDQ0UNuBMTE3OcB4jlb5xM/MQUxal79uyhli1bkq+vL2VkZNCff/5JQUFBoh4bjLG8MX/+fBo7dix17tyZbt26RWfOnKG2bdsKVQLLly+ndevWEVHWTL3FixenuLg4atOmDWlqatKGDRvI2NhYktinTZsmTNxVokQJWrx4sfDc1atXadSoUXT+/HnaunWr0K2VKKshuIaGBje4/JnlwTTnTEI7d+6EhoYGVqxYAQAYNmwYateujWXLliE5OVna4Bj7BWRmZooez5o1C1FRUQCA2NhYzJgxA6ampggLCxPWmT17Nnr27Cl67evXr/Hs2bO8Cfr/KX9+REQEzM3N0aRJE1SsWBG6uro4ffq0aP1r166hWrVqqF+/PgBALpfnabxMOlwy8RNLTk6msWPHkqOjIwUHBwvLQ0NDSSaT0axZs6QLjrFfgHL1QGRkJAGgWbNmUY8ePahly5ZElDWK5Jo1a2jMmDHUrVs3oVsl/r9kUdH+Scp2Eo8fP6Y5c+ZQkyZNqHLlyhQTE0MDBw6kvXv30sGDB6lChQrCug8fPiR7e3vJ23WwPCZtLsN+tISEBOH/yncZfMfA2I+lfIwNHjwYOjo6cHJygr6+Pjp37ixa9+3bt5g9ezZkMhkWLFiQ43vklVGjRuHVq1fC4x07dkAmk8HGxgbHjx8Xlr969QotWrSAsbExzp8/r/I+2Utk2M+NU8d8CtkKlLI/VsjeAlyxnkwm++xrGGO5A6Xun48fP6bTp0/T2bNnaefOnTRnzhxavXo1DRgwQFjfzMyMWrduTZs2baJOnToJy/O6jcG1a9do165dZG5uLiyrX78+9erVi54/f04PHz4Ulit6m9SrV4+8vb3p9u3bovfikolfCw+nnQ8pF50mJCSQoaHhF590lNfjxlCMfV8XLlwgDw8P4ficNGkS7du3j4oUKUIODg6kr69PxYoVo4IFC1LHjh1JJpPRlClTiIjI3NycmjVrRkTinlh55dOnT1S2bFk6c+YMaWpqUlRUFLm7u5O9vT3NmjWLkpKSKCQkhCwtLalOnTpElJVQTJ06lUqWLEklS5bM03iZmpG0XIR9NeViz/HjxyMwMBBVqlTBrl278O7dOwkjY+zXFhoaiho1aoiWRUVFwcjICHZ2dqLGk2lpaVi7di309PTQqVOnvA5VRe/evbFw4UKhUfbTp08hk8nQokULPH36VFivQ4cOMDAwwL59+3J8n/T09DyJl6kfTibyEeU6yFmzZsHExAQRERHw8/NDiRIlMH78eMTGxkoYIWO/tpSUFADAw4cPkZaWBgD4+++/oaenh86dO4t6UKWlpWHx4sXw8/OTvA1TjRo1UKZMGaxZswYfP34EAJw8eRL6+vpo3bq1SkJhYmIi9EhhDOBkIl+6ceMGunXrJro7CAsLg4uLCyIiIjihYCwPLVu2DFevXhUer1mzBgULFsSBAweEO/Xdu3dDR0cH3bp1EyUUGRkZwv+lSCiUb1CaN28OZ2dnrFq1Ch8+fAAAnDp1Ctra2mjdujWePHkirNuwYUPUrFkzz+Nl6ouTCTU3YsQIXLlyRXi8bds2mJubw9bWFocPHxatGx4eDhcXF4wbNw4vXrzI61AZ++UcPXoUmpqa6N27N+7fvy8s9/Pzg62tLf7++2+hhGL37t3Q1dVFjx49kJSUJFXIInK5XJTEtGvXDo6Ojli1apXQE0yRUPzxxx+iEgrurcGUcTKhxk6ePInWrVur1EN26dIFBQsWxOjRo4U7CIWhQ4fC3NwcK1euzMtQGftlrVmzBra2tggNDcWNGzeE5TVr1kTRokVFCcWePXsgk8kwZcoUqcIVKCcRq1evxurVqwEAbdu2hZOTk0pCoaenh8DAQFHJJycUTIGTCTWnOOAjIyNx6NAhYXlwcDBKliyJZcuWITExUfSahQsXiopPGWPfn/IxtmrVKlhbWyM0NBQ3b94UlisnFIqbgtOnT0veUFE5Cbh+/TrKly8PNzc37Ny5E0DOCcWRI0fg5+fHCQTLEY+AqaYyMzNJU1OT5HI53b9/n4KCgsjd3Z1CQ0PJ19eXiIjatm1L586do8GDB1Pz5s1V5tpQvAdj7PtCtmnEiYhWrVpFQ4cOpSZNmlDXrl3JxcWFiIhq165Nt2/fpgULFlBAQIBwTErR/TO7gQMH0qNHj+jly5d0+/ZtMjExoSlTplDjxo2pXbt2dOHCBRoyZAjVr19fNB9I9om/GOOSCTWknPmnpqYCALZv345KlSqhZcuWolHo2rZtC2dnZ8yePZvn2mAsDyhXD2zYsAEzZ84UHq9cuVIooVCu8nB3d0eDBg3yNM7/smLFCpiYmCA6Ohrv3r3Dy5cvUbt2bXh5eQk9Ndq3bw9TU1Ps3bsXAI+cyz6PB61SM8oZ/9SpU+np06c0YsQIatCgAclkMoqIiKD58+cTEVGVKlVo9erVFBQURKdPn5ZkamLGfiXKx+eNGzdo8uTJpKmpSWZmZtS2bVtq3749ERENHTqUZDIZde3alZydnenSpUvCHBvq4v79+1SmTBlyd3cnoqwRK5cvX05NmjShPn36EBHRypUrKSIigmrUqEFEPNAd+zxOJtSM4kQ1aNAgWrduHQ0ePJiSk5OJKGtYWyKiiIgIWrBgAclkMvL19aVdu3aRXC4XhsjmA56xH0NxfCqqB3R1den27ds0btw4SktLo44dOwoJxYgRI+j9+/c0atQoYeIrdah6VJwjtLW1KSUlhdLS0khHR4fS09PJ2tqaJkyYQEFBQTRt2jQqUKAADRs2jIi42pT9O670UkP79++ndevW0ebNmyk0NJTs7OyEeTTq169Pw4cPp8ePH9PYsWPpypUrRJR1klMkFIyxH2flypW0dOlSGjJkCO3atYtu3LhBxYoVo2XLltGKFSuIiKh9+/YUFhZG79+/Jzs7O+G16nAxVpwjGjZsSJcuXaJJkyYREZGWlhYREaWlpVFgYCBpaWnRzJkzKTU1lYjUI3amvrhkQg3FxMSQvb09+fj4qDR0AkBBQUGUnJxMf//9N5UtW1Z4jhtEMfbj/Vv1wPjx40kmk1FwcDB1796dunTpIiT66nZ8li1blpYuXUpdunShpKQkatGiBZmamtKcOXOocuXK1KhRI3J1daUTJ05QzZo1pQ6XqTlOJtRQSkoKPXjwgD58+EBmZmZCsWRmZibt3buXKlasSM2bN6fmzZsTEbesZiwvfGn1wNq1a0lHR4datmxJmpqaBEBtj8/g4GAyNDSkHj160IYNGwgAFS5cmPr160exsbFUsmRJKly4sNRhsnxAPffwX8TnGmS5urqSiYkJLV26lOLi4oRiydTUVJoyZQpt3LhRtL66nqgY+5l8afUAAFq2bBmlpaWJXqeumjRpQhcvXqTNmzfThg0b6MKFC6Sjo0MLFy4kTU1NTibYF+FxJiSiXJpw/vx5oU2Et7c3ERH17NmTjh8/TrVr16amTZtSRkYGjRs3juLi4ujs2bOS909n7Fe2cuVK6tKlC/Xp00eoHggNDRVVDxw4cCBfVg/cuHGDJk2aRHv27KGDBw8K1TmM/RtOJiSg3ONi2LBhtGXLFkpJSSEtLS1q1qwZjR8/noiyWoMfO3aMTpw4QW5ubmRqakr79+8nLS0tblnNmMS2bt1KPXr0oIIFCwrVA6dPn6bY2FiqVasWbdmyhcqVKyd1mF8lIyODrl27RuvWraMOHTqQq6ur1CGxfIKTCQlFRETQnDlzaMuWLeTi4kITJkyg6dOnU69evWjWrFlERPTx40e6f/8+GRsbU7FixUhDQ0MtRs5jjBE9f/6cYmJiKD09nX777TfS0NCg8PBwioqKoiNHjpClpaXUIX6T9PR0ofqGsS/BVySJ3Lx5k06fPk2rV6+mKlWq0O7du2nZsmUUHBxMCxcupAIFCtC0adPIwMBAVMwol8s5kWBMTVhbW5O1tTURqVYP5NdEgog4kWBfja9KeSR7jwsbGxsKDAykypUr0/Hjx6lr1640YcIE6tq1K2VmZtKMGTPow4cPtHTpUtH7cGNLxtRPRkYGpaWlUeHChenYsWNcPcB+OVzNkccWLlxI1apVI2dnZ6EosV+/fhQfH0/z588nXV1dGj58OEVHRwtdQTmBYCx/4OoB9qviq1QeAUC3b9+mESNGCMu0tLQoIyODrly5Qh8/fiRdXV369OkT3bhxg/744w/av3+/MOANY0z9cSLBflVczfEDKao2FL03nJycyMTEhE6fPk3Ozs5C+4cOHTpQhw4dKDAwkF6/fk0ZGRnUokULIiK1HvCGMcYYI+KSiR9KkQQkJiYKywoVKkQvXrwgov8NZlO3bl1avXo1mZqakp+fH124cIEKFChAmZmZaj/gDWOMMcZtJn6wJUuWUP/+/cnT05McHBzowYMHpKurSxMnTiQHBwfS19cX1lVupMndPxljjOUXnEx8Z4oqDcW/x44doxcvXtDbt2/p2LFjFBcXR8ePH6fChQuTpaUl6enpkY2NDfXv3598fHykDp8xxhj7anzr+x0plyykpaWRtrY2VatWTXi+R48etGnTJvr48SMtWrSIXrx4QYcOHSK5XE6enp5Shc0YY4zlCpdMfCfKicTcuXPp1KlTlJaWRq6urjRs2DAqWLAgERE9ePCAPD096ejRoypj3vMQ2YwxxvIjboD5nSgSibCwMBo1ahTZ29uThoYGbdu2jby8vCg5OZmIiHR1dUlfX5+eP3+u8h6cSDDGGMuPOJnIJeWCnevXr9PmzZtp48aNNGHCBNq8eTOtWrWKdHR0yN/fn9LT08nKyoqKFi1KV65ckTBqxhhj7PvhZOIbNWvWjCIjI4XGlkRE7969ozdv3pCDg4OwnpubG02ePJk+fvxIBw4cICKitm3b0qBBgySJmzHGGPveOJn4BtHR0WRubk6tW7emffv2CWNBlC5dmiwtLWnfvn3CupqamuTm5kbv37+nR48eERFR7969hXEkGGOMsfyOe3N8pRo1apCzszNFRESQpqYmNWjQgLZv306BgYGkr69Pbm5uFBkZScWKFaO6desSEVGBAgXIysqKjI2Nieh/3Ue5jQRjjLGfAffm+AoRERG0cOFCevbsGRERPXv2jKZNm0bz5s2jbdu2Ub169ejRo0fUvn17yszMpHLlylGFChVo7dq19ObNG7p06RInEIwxxn46XDLxFQCQu7s7ZWZmUkREBNna2tKQIUMoNTWVGjVqRJGRkRQUFERr1qyhJUuW0IEDB+jq1atkbW1N+/fvJ01NTe7+yRhj7KfDJRNfYceOHRQcHExlypShkydP0r1798jBwYHevXtHw4cPpyVLlggJhWKmz6SkJDI0NCQiHiKbMcbYz4mvbF+hQYMGVKpUKTpz5gx17NiRChcuTEREZmZmNHbsWCIiatKkCUVFRVFgYCARkZBIAOBEgjHG2E+Jr25fSC6XU0JCApmZmdGAAQNo3rx5ZGFhQT179iRra2syMzOjiIgI0tDQoHr16tHp06epYsWKwut59k/GGGM/K04m/oXyENkaGhpkYmJCO3fupAIFCpCNjQ2FhYWRTCajHj16kLW1NZmamtLIkSPJ3t6evLy8JI6eMcYYyxvcZuIzlBOJ7du306tXr0gmk5Gfnx+VLl2aiIgWLFhAgwcPptDQUOrRowdZWVmJ3oPbSDDGGPsV8JXuMxSJxIABA2jVqlXk5OREly9fJldXV2rWrBn179+funfvThoaGhQWFkYfPnygkSNHUqFChYT34ESCMcbYr4Cvdv9iy5YttH79etq3bx95eHjQhw8faNCgQbRjxw7S19enbt26UdeuXenTp0+0e/duMjc3lzpkxhhjLM9xNce/mDx5MkVGRtKJEydIU1OTNDQ0KDY2lnr06EGJiYnCXBtE/xvVUvEvY4wx9qvguTlyoMivChQoQCkpKZSWlkYaGhqUkZFBRYoUofDwcDp48CBdvnxZWJcTCcYYY78qTiZyoEgIAgIC6Pr16zR16lQi+l8biMzMTCpTpgwZGRmJkgdOJBhjjP2KuM3Ev3BxcaFly5ZR586dKSEhgZo0aUKmpqY0evRoMjExIXt7e6lDZIwxxiTHbSa+QGRkJIWEhJBMJiM9PT0qXLgwHT16lLS0tERdSBljjLFfEScTX+jVq1cUGxtLaWlp5OnpKbSh4O6fjDHGfnWcTHwjLpFgjDHGsnAywRhjjLFc4VtrxhhjjOUKJxOMMcYYyxVOJhhjjDGWK5xMMMYYYyxXOJlgjDHGWK5wMsEYY4yxXOFkgjGm4ujRoySTyej9+/dERLRy5UoyMTH54tfb29vTzJkzf0hsjDH1w8kEY/lMcHAwyWQy6tatm8pzPXv2JJlMRsHBwd/1M1u0aEF379794vXPnz9PXbp0+a4xZKdIeFxdXSkzM1P0nImJCa1cufKHfj5j7H84mWAsH7K1taWNGzfSp0+fhGUpKSm0fv16srOz++6fp6urS4ULF/7i9S0sLEhPT++7x5GThw8f0urVq/PksxhjOeNkgrF8yMPDg2xtbSkyMlJYFhkZSXZ2dlS+fHnRunK5nCZMmEDFixcnXV1dcnNzoy1btojW2bNnD5UuXZp0dXXJ39+fHj9+LHo+p2qOnTt3UoUKFUhHR4cKFSpEjRo1Ep7LXs0hk8lo6dKl1KhRI9LT06NSpUrRjh07RO93/fp1CgwMJAMDAypSpAi1bduW3rx585/bolevXjRy5EhKTU397DrTp0+nsmXLkr6+Ptna2lKPHj3o48ePKt9v165d5OjoSHp6etS0aVNKTk6mVatWkb29PZmamlJoaKioFCQ1NZUGDBhA1tbWpK+vTz4+PnT06NH/jJmxnw0nE4zlU3/++SetWLFCeLx8+XLq0KGDynoTJkyg1atX08KFC+nGjRvUt29fatOmDR07doyIiGJiYqhx48ZUv359unz5MnXq1InCwsL+9bN3795NjRo1orp169KlS5f+r737C2mqjeMA/p0zVqtmaCEVlFEYSml2UXgRxSIdWVgXCjLQaoRFXhj9QyhExNYICxzBumkNqSQxIpgZZHbRPzSjlFqiq1V00QKT/gxbm7/3Ijp02NTy8PK+k+/naud5zvM8v52L8d3Zwxk6Ozuxbt26CcfU1dWhtLQUfX192Lp1K6xWK4aHhwEAIyMjMJvNyMvLw+PHj9HR0YEPHz6gtLR00utQXV2NSCQCp9M57jlJSUloamrC8+fP4fF4cOfOHRw9elR1TigUQlNTE1paWtDR0YG7d+9i586daG9vR3t7O5qbm3H+/HlVEKuqqsLDhw/R0tKCvr4+lJSUwGKxYHBwcNK6iaYVIaKEUlFRIcXFxRIMBsVgMEggEJBAICAzZ86Ujx8/SnFxsVRUVIiIyOjoqBiNRnnw4IFqDpvNJmVlZSIiUlNTI9nZ2ar+Y8eOCQD59OmTiIi43W5JSUlR+vPz88VqtY5b49KlS+Xs2bPKMQA5fvy4cvz161cBIDdv3hQRkfr6eikoKFDN8e7dOwEgAwMDcdfo6upSanS5XJKamiojIyMiIpKSkiJut3vc+lpbWyUtLU05drvdAkCGhoaUtsrKSjEajfLlyxelrbCwUCorK0VE5M2bN6LX6+X9+/equTdv3iw1NTXjrk00HfH/s4kS1IIFC1BUVISLFy9CRFBUVIT58+erzhkaGkIoFMKWLVtU7eFwWPk5xOfzYf369ar+/Pz8Cdd++vQp9u7d+1f15uTkKK9nz54Nk8mEYDAIAHj27Bm6urowZ86cmHF+vx+ZmZkTzm2z2dDY2AiHw4GTJ0/G9N++fRt2ux0vX77E58+fEYlEMDo6ilAopOztMBqNWL58uTImPT0dGRkZqprS09OVmvv7+xGNRmNq+/79O9LS0ia7HETTCsMEUQLbs2cPqqqqAADnzp2L6f+1L8Dr9WLx4sWqPoPBMOV1Z82a9ddjZsyYoTrW6XQYGxsD8LPO7du3w+FwxIxbuHDhpHMnJyejoaEBu3btUq7HL4FAANu2bcP+/fvR0NCA1NRU3Lt3DzabDeFwWAkT8eqbrGa9Xo/e3l7o9XrVefFCEdF0xjBBlMAsFgvC4TB0Oh0KCwtj+rOzs2EwGPD27Vts3Lgx7hxZWVkxmyEfPXo04bo5OTno7OyMu0djKtauXYu2tjZkZGQgOXlqH0slJSU4ffo06urqVO29vb0YGxtDY2MjkpJ+bhO7evWq5prz8vIQjUYRDAaxYcMGzfMRJTJuwCRKYHq9Hj6fDy9evIj5dgwAc+fOxeHDh3Hw4EF4PB74/X48efIETqcTHo8HALBv3z4MDg7iyJEjGBgYwOXLlyd9RkNtbS2uXLmC2tpa+Hw+9Pf3x72r8KcOHDiA4eFhlJWVoaenB36/H7du3cLu3btjniExkVOnTuHChQv49u2b0rZixQr8+PEDTqcTr169QnNzM1wu15Rr/SUzMxNWqxXl5eW4du0aXr9+je7ubtjtdni9Xs3zEyUShgmiBGcymWAymcbtr6+vx4kTJ2C325GVlQWLxQKv14tly5YBAJYsWYK2tjZcv34dubm5cLlccfcd/G7Tpk1obW3FjRs3sGbNGpjNZnR3d0/5PSxatAj3799HNBpFQUEBVq9ejerqasybN0+5m/AnzGYzzGYzIpGI0pabm4szZ87A4XBg1apVuHTpEux2+5Rr/Z3b7UZ5eTkOHTqElStXYseOHejp6flXnvVB9H+mExH5r4sgIiKixMU7E0RERKQJwwQRERFpwjBBREREmjBMEBERkSYME0RERKQJwwQRERFpwjBBREREmjBMEBERkSYME0RERKQJwwQRERFpwjBBREREmjBMEBERkSb/AElyNRkYe042AAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Extracting top 10 disease names and their counts\n",
        "top_disease_names = df['diseaseName'].value_counts().head(10)\n",
        "\n",
        "# Plotting the bar graph\n",
        "plt.figure(figsize=(6, 2))\n",
        "top_disease_names.plot(kind='bar')\n",
        "plt.xlabel('Disease Name')\n",
        "plt.ylabel('Count')\n",
        "plt.title('Top 10 Disease Names')\n",
        "plt.xticks(rotation=45, ha='right')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 328
        },
        "id": "1sF5r2KvIE5q",
        "outputId": "a2847594-35ea-4b6d-cc11-0f722acbc422"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x200 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Taking input for city name\n",
        "city_name = input('Enter the city name: ')\n",
        "\n",
        "# Filtering data for the specific city\n",
        "city_data = df[df['city'] == city_name]\n",
        "\n",
        "# Extracting top 10 medicine names and their counts for the specific city\n",
        "top_medicine_names_city = city_data['medicineName'].value_counts().head(10)\n",
        "\n",
        "# Plotting the bar graph\n",
        "plt.figure(figsize=(4, 2))\n",
        "top_medicine_names_city.plot(kind='bar')\n",
        "plt.xlabel('Medicine Name')\n",
        "plt.ylabel('Count')\n",
        "plt.title(f'Top 10 Medicine Names in {city_name}')\n",
        "plt.xticks(rotation=45, ha='right')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 411
        },
        "id": "o5_wjOa-II-x",
        "outputId": "30cc220d-c2ee-4ad9-b2dd-467879be233c"
      },
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Enter the city name: Indore\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 400x200 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Taking input for city name\n",
        "city_name = input('Enter the city name: ')\n",
        "\n",
        "# Filtering data for the specific city\n",
        "city_data = df[df['city'] == city_name]\n",
        "\n",
        "# Extracting top 10 disease names and their counts for the specific city\n",
        "top_disease_names_city = city_data['diseaseName'].value_counts().head(10)\n",
        "\n",
        "# Plotting the bar graph\n",
        "plt.figure(figsize=(10, 4))\n",
        "top_disease_names_city.plot(kind='bar')\n",
        "plt.xlabel('Disease Name')\n",
        "plt.ylabel('Count')\n",
        "plt.title(f'Top 10 Disease Names in {city_name}')\n",
        "plt.xticks(rotation=45, ha='right')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ishmR4WCIMtv",
        "outputId": "bd90dbbb-2b9b-460f-faaa-ee33306f2a4c"
      },
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Enter the city name: Indore\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import mean_squared_error\n",
        "from datetime import datetime, timedelta"
      ],
      "metadata": {
        "id": "sS5jMG53IUy0"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df['date'] = pd.to_datetime(df['date'])\n",
        "\n",
        "# Extract month from 'date' column\n",
        "df['month'] = df['date'].dt.month\n",
        "\n",
        "# Analyze medicines and diseases based on months\n",
        "month_analysis = df.groupby('month').agg({'medicineName': 'count', 'diseaseName': 'count'}).reset_index()\n",
        "month_analysis = month_analysis.rename(columns={'medicineName': 'medicine_count', 'diseaseName': 'disease_count'})\n",
        "\n",
        "# Plotting the analysis\n",
        "plt.figure(figsize=(4, 2))\n",
        "plt.plot(month_analysis['month'], month_analysis['medicine_count'], label='Medicines', marker='o')\n",
        "plt.plot(month_analysis['month'], month_analysis['disease_count'], label='Diseases', marker='o')\n",
        "plt.xlabel('Month')\n",
        "plt.ylabel('Count')\n",
        "plt.title('Medicines and Diseases Analysis by Month')\n",
        "plt.legend()\n",
        "plt.xticks(month_analysis['month'])\n",
        "plt.grid(True)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 256
        },
        "id": "M0CnRsyqJxg0",
        "outputId": "106ac49e-239f-4e50-85c0-dd26ce364aed"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 400x200 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# Prepare data for linear regression (predicting after 2 months)\n",
        "X = month_analysis[['month']]\n",
        "y_medicine = month_analysis['medicine_count']\n",
        "y_disease = month_analysis['disease_count']\n",
        "\n",
        "# Add 2 to each month for prediction after 2 months\n",
        "X['month'] += 2\n",
        "\n",
        "# Split data into training and testing sets\n",
        "X_train, X_test, y_medicine_train, y_medicine_test = train_test_split(X, y_medicine, test_size=0.2, random_state=0)\n",
        "X_train, X_test, y_disease_train, y_disease_test = train_test_split(X, y_disease, test_size=0.2, random_state=0)\n",
        "\n",
        "# Create and train linear regression models\n",
        "model_medicine = LinearRegression()\n",
        "model_disease = LinearRegression()\n",
        "model_medicine.fit(X_train, y_medicine_train)\n",
        "model_disease.fit(X_train, y_disease_train)\n",
        "\n",
        "# Predict after 2 months\n",
        "pred_medicine = model_medicine.predict(X_test)\n",
        "pred_disease = model_disease.predict(X_test)\n",
        "\n",
        "# Calculate mean squared error\n",
        "mse_medicine = mean_squared_error(y_medicine_test, pred_medicine)\n",
        "mse_disease = mean_squared_error(y_disease_test, pred_disease)\n",
        "\n",
        "print(f\"Mean Squared Error (Medicines): {mse_medicine}\")\n",
        "print(f\"Mean Squared Error (Diseases): {mse_disease}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "q9MPfG8PJ8wG",
        "outputId": "e2eb0c53-1cdf-400a-eb6d-451b8f9c3da6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mean Squared Error (Medicines): 97.16326530612245\n",
            "Mean Squared Error (Diseases): 97.16326530612245\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-30-43980d785dd3>:7: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  X['month'] += 2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# Function to analyze data for a specific city and predict consumption increase\n",
        "def analyze_city(city_name):\n",
        "    # Filter data for the specific city\n",
        "    city_data = df[df['city'] == city_name]\n",
        "\n",
        "    # Convert 'date' column to datetime format\n",
        "    city_data['date'] = pd.to_datetime(city_data['date'])\n",
        "\n",
        "    # Extract month from 'date' column\n",
        "    city_data['month'] = city_data['date'].dt.month\n",
        "\n",
        "    # Analyze medicines and diseases based on months\n",
        "    month_analysis = city_data.groupby('month').agg({'medicineName': 'count', 'diseaseName': 'count'}).reset_index()\n",
        "    month_analysis = month_analysis.rename(columns={'medicineName': 'medicine_count', 'diseaseName': 'disease_count'})\n",
        "\n",
        "    # Prepare data for linear regression (predicting after 2 months)\n",
        "    X = month_analysis[['month']]\n",
        "    y_medicine = month_analysis['medicine_count']\n",
        "    y_disease = month_analysis['disease_count']\n",
        "\n",
        "    # Add 2 to each month for prediction after 2 months\n",
        "    X['month'] += 2\n",
        "\n",
        "    # Split data into training and testing sets\n",
        "    X_train, X_test, y_medicine_train, y_medicine_test = train_test_split(X, y_medicine, test_size=0.2, random_state=0)\n",
        "    X_train, X_test, y_disease_train, y_disease_test = train_test_split(X, y_disease, test_size=0.2, random_state=0)\n",
        "\n",
        "    # Create and train linear regression models\n",
        "    model_medicine = LinearRegression()\n",
        "    model_disease = LinearRegression()\n",
        "    model_medicine.fit(X_train, y_medicine_train)\n",
        "    model_disease.fit(X_train, y_disease_train)\n",
        "\n",
        "    # Predict after 2 months\n",
        "    pred_medicine = model_medicine.predict(X_test)\n",
        "    pred_disease = model_disease.predict(X_test)\n",
        "\n",
        "    # Calculate mean squared error\n",
        "    mse_medicine = mean_squared_error(y_medicine_test, pred_medicine)\n",
        "    mse_disease = mean_squared_error(y_disease_test, pred_disease)\n",
        "\n",
        "    # Get top 5 medicine names\n",
        "    top_medicine = city_data['medicineName'].value_counts().head(5)\n",
        "\n",
        "    # Get top 5 disease names\n",
        "    top_disease = city_data['diseaseName'].value_counts().head(5)\n",
        "\n",
        "    return top_medicine, pred_medicine, top_disease, pred_disease, mse_medicine, mse_disease\n",
        "\n",
        "# Take city name as input\n",
        "city_name = input('Enter the city name: ')\n",
        "\n",
        "# Analyze the city and get predictions\n",
        "top_medicine, pred_medicine, top_disease, pred_disease, mse_medicine, mse_disease = analyze_city(city_name)\n",
        "\n",
        "# Print results\n",
        "print(f\"\\nTop 5 Medicines in {city_name}:\")\n",
        "print(top_medicine)\n",
        "print(f\"\\nPredicted Increase in Medicine Consumption after 2 Months:\")\n",
        "print(pred_medicine)\n",
        "print(f\"\\nTop 5 Diseases in {city_name}:\")\n",
        "print(top_disease)\n",
        "print(f\"\\nPredicted Increase in Disease Occurrence after 2 Months:\")\n",
        "print(pred_disease)\n",
        "print(f\"\\nMean Squared Error (Medicines): {mse_medicine}\")\n",
        "print(f\"Mean Squared Error (Diseases): {mse_disease}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2qY94r41KCbW",
        "outputId": "800afd1a-7968-432a-a62f-67e050590f42"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Enter the city name: mumbai\n",
            "\n",
            "Top 5 Medicines in mumbai:\n",
            "medicineName\n",
            "alakazam         2\n",
            "ranitidine       1\n",
            "norfloxacin      1\n",
            "cephalosporin    1\n",
            "Name: count, dtype: int64\n",
            "\n",
            "Predicted Increase in Medicine Consumption after 2 Months:\n",
            "[2.5]\n",
            "\n",
            "Top 5 Diseases in mumbai:\n",
            "diseaseName\n",
            "typhoid     2\n",
            "acidity     1\n",
            "UTI         1\n",
            "injury      1\n",
            "Name: count, dtype: int64\n",
            "\n",
            "Predicted Increase in Disease Occurrence after 2 Months:\n",
            "[2.5]\n",
            "\n",
            "Mean Squared Error (Medicines): 0.24999999999999956\n",
            "Mean Squared Error (Diseases): 0.24999999999999956\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-31-656be230db74>:7: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  city_data['date'] = pd.to_datetime(city_data['date'])\n",
            "<ipython-input-31-656be230db74>:10: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  city_data['month'] = city_data['date'].dt.month\n",
            "<ipython-input-31-656be230db74>:22: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  X['month'] += 2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "z6b1FsZqLLWp"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}