visualization.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "64712196",
   "metadata": {},
   "outputs": [],
   "source": [
    "#in this component I will merge all the CSV files I got from scraping and API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 351,
   "id": "3661491b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 352,
   "id": "d50f6662",
   "metadata": {},
   "outputs": [],
   "source": [
    "#join tables\n",
    "\n",
    "Lenovo_scraping = pd.read_csv('Lenovo.csv')\n",
    "HP_scraping = pd.read_csv('HP.csv')\n",
    "Asus_scraping = pd.read_csv('Asus.csv')\n",
    "Apple_scraping = pd.read_csv('Apple.csv')\n",
    "Dell_scraping = pd.read_csv('Dell.csv')\n",
    "API_requests_df = pd.read_csv('computers_from_api.csv')\n",
    "\n",
    "Lenovo_scraping.to_csv(r\"computers_from_api.csv\", mode='a', index=False)  \n",
    "HP_scraping.to_csv(r\"computers_from_api.csv\", mode='a', index=False)  \n",
    "Asus_scraping.to_csv(r\"computers_from_api.csv\", mode='a', index=False)  \n",
    "Apple_scraping.to_csv(r\"computers_from_api.csv\", mode='a', index=False)  \n",
    "Dell_scraping.to_csv(r\"computers_from_api.csv\", mode='a', index=False)  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 353,
   "id": "c0768976",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "        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>model</th>\n",
       "      <th>manufacturer</th>\n",
       "      <th>gaming_adapt</th>\n",
       "      <th>operating_system</th>\n",
       "      <th>weight</th>\n",
       "      <th>RAM_memory_volume</th>\n",
       "      <th>CPU_speed</th>\n",
       "      <th>processor_model</th>\n",
       "      <th>processor_generation</th>\n",
       "      <th>memory_type</th>\n",
       "      <th>...</th>\n",
       "      <th>low_price</th>\n",
       "      <th>high_price</th>\n",
       "      <th>average_price</th>\n",
       "      <th>Data_acquisition_date</th>\n",
       "      <th>comp_model_url</th>\n",
       "      <th>computer_entry_date</th>\n",
       "      <th>graphics_card</th>\n",
       "      <th>processor_type</th>\n",
       "      <th>series</th>\n",
       "      <th>wireless_network</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lenovo V14 G3 IAP 82TS0042IV</td>\n",
       "      <td>Lenovo</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>ללא</td>\n",
       "      <td>1.43 ק\"ג</td>\n",
       "      <td>16 GB</td>\n",
       "      <td>4.7Ghz</td>\n",
       "      <td>1255U</td>\n",
       "      <td>דור 12</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>2197</td>\n",
       "      <td>3102</td>\n",
       "      <td>2649.5</td>\n",
       "      <td>18.06.2023</td>\n",
       "      <td>https://www.zap.co.il/compmodels.aspx?modelid=...</td>\n",
       "      <td>2022</td>\n",
       "      <td>Integrated Intel Iris Xe Graphics</td>\n",
       "      <td>Intel Core i7</td>\n",
       "      <td>V14 G3 IAP</td>\n",
       "      <td>802.11ac</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Lenovo IdeaPad 3 15ITL6 82H8039EIV</td>\n",
       "      <td>Lenovo</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>ללא</td>\n",
       "      <td>1.65 ק\"ג</td>\n",
       "      <td>8 GB</td>\n",
       "      <td>2.5Ghz</td>\n",
       "      <td>1155G7</td>\n",
       "      <td>דור 11</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>1590</td>\n",
       "      <td>1925</td>\n",
       "      <td>1757.5</td>\n",
       "      <td>18.06.2023</td>\n",
       "      <td>https://www.zap.co.il/compmodels.aspx?modelid=...</td>\n",
       "      <td>מ 2023</td>\n",
       "      <td>Integrated Intel Iris Xe Graphics</td>\n",
       "      <td>Intel Core i5</td>\n",
       "      <td>IdeaPad 3 15ITL6</td>\n",
       "      <td>802.11ax</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Lenovo V14 G3 IAP 82TS0024IV</td>\n",
       "      <td>Lenovo</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>ללא</td>\n",
       "      <td>1.43 ק\"ג</td>\n",
       "      <td>8 GB</td>\n",
       "      <td>3.3Ghz</td>\n",
       "      <td>1215U</td>\n",
       "      <td>דור 12</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>1298</td>\n",
       "      <td>1848</td>\n",
       "      <td>1573.0</td>\n",
       "      <td>18.06.2023</td>\n",
       "      <td>https://www.zap.co.il/compmodels.aspx?modelid=...</td>\n",
       "      <td>2022</td>\n",
       "      <td>Integrated Intel UHD Graphics</td>\n",
       "      <td>Intel Core i3</td>\n",
       "      <td>V14 G3 IAP</td>\n",
       "      <td>802.11ac</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Lenovo V14 G2 ITL 82KA001NIV</td>\n",
       "      <td>Lenovo</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>ללא</td>\n",
       "      <td>1.6 ק\"ג</td>\n",
       "      <td>8 GB</td>\n",
       "      <td>4.2Ghz</td>\n",
       "      <td>1135G7</td>\n",
       "      <td>דור 11</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>1564</td>\n",
       "      <td>2446</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>18.06.2023</td>\n",
       "      <td>https://www.zap.co.il/compmodels.aspx?modelid=...</td>\n",
       "      <td>2022</td>\n",
       "      <td>Integrated Intel UHD Graphics</td>\n",
       "      <td>Intel Core i5</td>\n",
       "      <td>V14 G2</td>\n",
       "      <td>802.11ac</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Lenovo IdeaPad 3 15IAU7 82RK00DDIV</td>\n",
       "      <td>Lenovo</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>ללא</td>\n",
       "      <td>1.63 ק\"ג</td>\n",
       "      <td>16 GB</td>\n",
       "      <td>4.7Ghz</td>\n",
       "      <td>1255U</td>\n",
       "      <td>דור 12</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>2628</td>\n",
       "      <td>3599</td>\n",
       "      <td>3113.5</td>\n",
       "      <td>18.06.2023</td>\n",
       "      <td>https://www.zap.co.il/compmodels.aspx?modelid=...</td>\n",
       "      <td>2022</td>\n",
       "      <td>Integrated Intel Iris Xe Graphics</td>\n",
       "      <td>Intel Core i7</td>\n",
       "      <td>IdeaPad 3</td>\n",
       "      <td>WiFi 6, 802.11ax</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",
       "      <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>3037</th>\n",
       "      <td>Dell Vostro 3520 VM-RD09-13959</td>\n",
       "      <td>Dell</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>Windows 11 Home</td>\n",
       "      <td>1.69 ק\"ג</td>\n",
       "      <td>16 GB</td>\n",
       "      <td>3.5Ghz</td>\n",
       "      <td>1255U</td>\n",
       "      <td>דור 12</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>3690</td>\n",
       "      <td>4195</td>\n",
       "      <td>3942.5</td>\n",
       "      <td>(2023, 6, 13)</td>\n",
       "      <td>https://www.zap.co.il/model.aspx?modelid=1177655</td>\n",
       "      <td>12/2022</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3038</th>\n",
       "      <td>Dell Vostro 5620 VM-RD09-14079</td>\n",
       "      <td>Dell</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>Windows 11 Home</td>\n",
       "      <td>1.91 ק\"ג</td>\n",
       "      <td>16 GB</td>\n",
       "      <td>3.4Ghz</td>\n",
       "      <td>1260P</td>\n",
       "      <td>דור 12</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>4506</td>\n",
       "      <td>4699</td>\n",
       "      <td>4602.5</td>\n",
       "      <td>(2023, 6, 13)</td>\n",
       "      <td>https://www.zap.co.il/model.aspx?modelid=1181364</td>\n",
       "      <td>1/2023</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3039</th>\n",
       "      <td>Dell Vostro 3420 VM-RD33-13926</td>\n",
       "      <td>Dell</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>ללא</td>\n",
       "      <td>1.49 ק\"ג</td>\n",
       "      <td>8 GB</td>\n",
       "      <td>2.4Ghz</td>\n",
       "      <td>1135G7</td>\n",
       "      <td>דור 11</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>2239</td>\n",
       "      <td>2690</td>\n",
       "      <td>2464.5</td>\n",
       "      <td>(2023, 6, 13)</td>\n",
       "      <td>https://www.zap.co.il/model.aspx?modelid=1171567</td>\n",
       "      <td>10/2022</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3040</th>\n",
       "      <td>Dell Vostro 5620 VM-RD09-14078</td>\n",
       "      <td>Dell</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>Windows 11 Pro</td>\n",
       "      <td>1.91 ק\"ג</td>\n",
       "      <td>16 GB</td>\n",
       "      <td>4.4Ghz</td>\n",
       "      <td>1240P</td>\n",
       "      <td>דור 12</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>3877</td>\n",
       "      <td>4420</td>\n",
       "      <td>4148.5</td>\n",
       "      <td>(2023, 6, 13)</td>\n",
       "      <td>https://www.zap.co.il/model.aspx?modelid=1181363</td>\n",
       "      <td>1/2023</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3041</th>\n",
       "      <td>Dell XPS 13 Plus 9320 XP-RD33-14056</td>\n",
       "      <td>Dell</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>Windows 11 Pro</td>\n",
       "      <td>1.26 ק\"ג</td>\n",
       "      <td>16 GB</td>\n",
       "      <td>3.4Ghz</td>\n",
       "      <td>1260P</td>\n",
       "      <td>דור 12</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>10285</td>\n",
       "      <td>11700</td>\n",
       "      <td>10992.5</td>\n",
       "      <td>(2023, 6, 13)</td>\n",
       "      <td>https://www.zap.co.il/model.aspx?modelid=1181569</td>\n",
       "      <td>1/2023</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3042 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       model manufacturer gaming_adapt  \\\n",
       "0              Lenovo V14 G3 IAP 82TS0042IV        Lenovo   לא רלוונטי   \n",
       "1        Lenovo IdeaPad 3 15ITL6 82H8039EIV        Lenovo   לא רלוונטי   \n",
       "2              Lenovo V14 G3 IAP 82TS0024IV        Lenovo   לא רלוונטי   \n",
       "3              Lenovo V14 G2 ITL 82KA001NIV        Lenovo   לא רלוונטי   \n",
       "4        Lenovo IdeaPad 3 15IAU7 82RK00DDIV        Lenovo   לא רלוונטי   \n",
       "...                                      ...          ...          ...   \n",
       "3037         Dell Vostro 3520 VM-RD09-13959          Dell   לא רלוונטי   \n",
       "3038         Dell Vostro 5620 VM-RD09-14079          Dell   לא רלוונטי   \n",
       "3039         Dell Vostro 3420 VM-RD33-13926          Dell   לא רלוונטי   \n",
       "3040         Dell Vostro 5620 VM-RD09-14078          Dell   לא רלוונטי   \n",
       "3041    Dell XPS 13 Plus 9320 XP-RD33-14056          Dell   לא רלוונטי   \n",
       "\n",
       "     operating_system    weight RAM_memory_volume CPU_speed processor_model  \\\n",
       "0                 ללא  1.43 ק\"ג             16 GB    4.7Ghz           1255U   \n",
       "1                 ללא  1.65 ק\"ג              8 GB    2.5Ghz          1155G7   \n",
       "2                 ללא  1.43 ק\"ג              8 GB    3.3Ghz           1215U   \n",
       "3                 ללא   1.6 ק\"ג              8 GB    4.2Ghz          1135G7   \n",
       "4                 ללא  1.63 ק\"ג             16 GB    4.7Ghz           1255U   \n",
       "...               ...       ...               ...       ...             ...   \n",
       "3037  Windows 11 Home  1.69 ק\"ג             16 GB    3.5Ghz           1255U   \n",
       "3038  Windows 11 Home  1.91 ק\"ג             16 GB    3.4Ghz           1260P   \n",
       "3039              ללא  1.49 ק\"ג              8 GB    2.4Ghz          1135G7   \n",
       "3040   Windows 11 Pro  1.91 ק\"ג             16 GB    4.4Ghz           1240P   \n",
       "3041   Windows 11 Pro  1.26 ק\"ג             16 GB    3.4Ghz           1260P   \n",
       "\n",
       "     processor_generation memory_type  ... low_price high_price average_price  \\\n",
       "0                  דור 12        DDR4  ...      2197       3102        2649.5   \n",
       "1                  דור 11        DDR4  ...      1590       1925        1757.5   \n",
       "2                  דור 12        DDR4  ...      1298       1848        1573.0   \n",
       "3                  דור 11        DDR4  ...      1564       2446        2005.0   \n",
       "4                  דור 12        DDR4  ...      2628       3599        3113.5   \n",
       "...                   ...         ...  ...       ...        ...           ...   \n",
       "3037               דור 12        DDR4  ...      3690       4195        3942.5   \n",
       "3038               דור 12        DDR4  ...      4506       4699        4602.5   \n",
       "3039               דור 11        DDR4  ...      2239       2690        2464.5   \n",
       "3040               דור 12        DDR4  ...      3877       4420        4148.5   \n",
       "3041               דור 12        DDR4  ...     10285      11700       10992.5   \n",
       "\n",
       "     Data_acquisition_date                                     comp_model_url  \\\n",
       "0               18.06.2023  https://www.zap.co.il/compmodels.aspx?modelid=...   \n",
       "1               18.06.2023  https://www.zap.co.il/compmodels.aspx?modelid=...   \n",
       "2               18.06.2023  https://www.zap.co.il/compmodels.aspx?modelid=...   \n",
       "3               18.06.2023  https://www.zap.co.il/compmodels.aspx?modelid=...   \n",
       "4               18.06.2023  https://www.zap.co.il/compmodels.aspx?modelid=...   \n",
       "...                    ...                                                ...   \n",
       "3037         (2023, 6, 13)   https://www.zap.co.il/model.aspx?modelid=1177655   \n",
       "3038         (2023, 6, 13)   https://www.zap.co.il/model.aspx?modelid=1181364   \n",
       "3039         (2023, 6, 13)   https://www.zap.co.il/model.aspx?modelid=1171567   \n",
       "3040         (2023, 6, 13)   https://www.zap.co.il/model.aspx?modelid=1181363   \n",
       "3041         (2023, 6, 13)   https://www.zap.co.il/model.aspx?modelid=1181569   \n",
       "\n",
       "     computer_entry_date                      graphics_card processor_type  \\\n",
       "0                   2022  Integrated Intel Iris Xe Graphics  Intel Core i7   \n",
       "1                 מ 2023  Integrated Intel Iris Xe Graphics  Intel Core i5   \n",
       "2                   2022      Integrated Intel UHD Graphics  Intel Core i3   \n",
       "3                   2022      Integrated Intel UHD Graphics  Intel Core i5   \n",
       "4                   2022  Integrated Intel Iris Xe Graphics  Intel Core i7   \n",
       "...                  ...                                ...            ...   \n",
       "3037             12/2022                                NaN            NaN   \n",
       "3038              1/2023                                NaN            NaN   \n",
       "3039             10/2022                                NaN            NaN   \n",
       "3040              1/2023                                NaN            NaN   \n",
       "3041              1/2023                                NaN            NaN   \n",
       "\n",
       "                series  wireless_network  \n",
       "0           V14 G3 IAP          802.11ac  \n",
       "1     IdeaPad 3 15ITL6          802.11ax  \n",
       "2           V14 G3 IAP          802.11ac  \n",
       "3               V14 G2          802.11ac  \n",
       "4            IdeaPad 3  WiFi 6, 802.11ax  \n",
       "...                ...               ...  \n",
       "3037               NaN               NaN  \n",
       "3038               NaN               NaN  \n",
       "3039               NaN               NaN  \n",
       "3040               NaN               NaN  \n",
       "3041               NaN               NaN  \n",
       "\n",
       "[3042 rows x 31 columns]"
      ]
     },
     "execution_count": 353,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_api_backup = pd.read_csv('computers_from_api.csv')\n",
    "new_api_backup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 354,
   "id": "727d28f4",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<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>model</th>\n",
       "      <th>manufacturer</th>\n",
       "      <th>gaming_adapt</th>\n",
       "      <th>operating_system</th>\n",
       "      <th>weight</th>\n",
       "      <th>RAM_memory_volume</th>\n",
       "      <th>CPU_speed</th>\n",
       "      <th>processor_model</th>\n",
       "      <th>processor_generation</th>\n",
       "      <th>memory_type</th>\n",
       "      <th>...</th>\n",
       "      <th>low_price</th>\n",
       "      <th>high_price</th>\n",
       "      <th>average_price</th>\n",
       "      <th>Data_acquisition_date</th>\n",
       "      <th>comp_model_url</th>\n",
       "      <th>computer_entry_date</th>\n",
       "      <th>graphics_card</th>\n",
       "      <th>processor_type</th>\n",
       "      <th>series</th>\n",
       "      <th>wireless_network</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lenovo V14 G3 IAP 82TS0042IV</td>\n",
       "      <td>Lenovo</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>ללא</td>\n",
       "      <td>1.43 ק\"ג</td>\n",
       "      <td>16 GB</td>\n",
       "      <td>4.7Ghz</td>\n",
       "      <td>1255U</td>\n",
       "      <td>דור 12</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>2197</td>\n",
       "      <td>3102</td>\n",
       "      <td>2649.5</td>\n",
       "      <td>18.06.2023</td>\n",
       "      <td>https://www.zap.co.il/compmodels.aspx?modelid=...</td>\n",
       "      <td>2022</td>\n",
       "      <td>Integrated Intel Iris Xe Graphics</td>\n",
       "      <td>Intel Core i7</td>\n",
       "      <td>V14 G3 IAP</td>\n",
       "      <td>802.11ac</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Lenovo IdeaPad 3 15ITL6 82H8039EIV</td>\n",
       "      <td>Lenovo</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>ללא</td>\n",
       "      <td>1.65 ק\"ג</td>\n",
       "      <td>8 GB</td>\n",
       "      <td>2.5Ghz</td>\n",
       "      <td>1155G7</td>\n",
       "      <td>דור 11</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>1590</td>\n",
       "      <td>1925</td>\n",
       "      <td>1757.5</td>\n",
       "      <td>18.06.2023</td>\n",
       "      <td>https://www.zap.co.il/compmodels.aspx?modelid=...</td>\n",
       "      <td>מ 2023</td>\n",
       "      <td>Integrated Intel Iris Xe Graphics</td>\n",
       "      <td>Intel Core i5</td>\n",
       "      <td>IdeaPad 3 15ITL6</td>\n",
       "      <td>802.11ax</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Lenovo V14 G3 IAP 82TS0024IV</td>\n",
       "      <td>Lenovo</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>ללא</td>\n",
       "      <td>1.43 ק\"ג</td>\n",
       "      <td>8 GB</td>\n",
       "      <td>3.3Ghz</td>\n",
       "      <td>1215U</td>\n",
       "      <td>דור 12</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>1298</td>\n",
       "      <td>1848</td>\n",
       "      <td>1573.0</td>\n",
       "      <td>18.06.2023</td>\n",
       "      <td>https://www.zap.co.il/compmodels.aspx?modelid=...</td>\n",
       "      <td>2022</td>\n",
       "      <td>Integrated Intel UHD Graphics</td>\n",
       "      <td>Intel Core i3</td>\n",
       "      <td>V14 G3 IAP</td>\n",
       "      <td>802.11ac</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Lenovo V14 G2 ITL 82KA001NIV</td>\n",
       "      <td>Lenovo</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>ללא</td>\n",
       "      <td>1.6 ק\"ג</td>\n",
       "      <td>8 GB</td>\n",
       "      <td>4.2Ghz</td>\n",
       "      <td>1135G7</td>\n",
       "      <td>דור 11</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>1564</td>\n",
       "      <td>2446</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>18.06.2023</td>\n",
       "      <td>https://www.zap.co.il/compmodels.aspx?modelid=...</td>\n",
       "      <td>2022</td>\n",
       "      <td>Integrated Intel UHD Graphics</td>\n",
       "      <td>Intel Core i5</td>\n",
       "      <td>V14 G2</td>\n",
       "      <td>802.11ac</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Lenovo IdeaPad 3 15IAU7 82RK00DDIV</td>\n",
       "      <td>Lenovo</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>ללא</td>\n",
       "      <td>1.63 ק\"ג</td>\n",
       "      <td>16 GB</td>\n",
       "      <td>4.7Ghz</td>\n",
       "      <td>1255U</td>\n",
       "      <td>דור 12</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>2628</td>\n",
       "      <td>3599</td>\n",
       "      <td>3113.5</td>\n",
       "      <td>18.06.2023</td>\n",
       "      <td>https://www.zap.co.il/compmodels.aspx?modelid=...</td>\n",
       "      <td>2022</td>\n",
       "      <td>Integrated Intel Iris Xe Graphics</td>\n",
       "      <td>Intel Core i7</td>\n",
       "      <td>IdeaPad 3</td>\n",
       "      <td>WiFi 6, 802.11ax</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",
       "      <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>899</th>\n",
       "      <td>Dell Vostro 3520 VM-RD09-13959</td>\n",
       "      <td>Dell</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>Windows 11 Home</td>\n",
       "      <td>1.69 ק\"ג</td>\n",
       "      <td>16 GB</td>\n",
       "      <td>3.5Ghz</td>\n",
       "      <td>1255U</td>\n",
       "      <td>דור 12</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>3690</td>\n",
       "      <td>4195</td>\n",
       "      <td>3942.5</td>\n",
       "      <td>(2023, 6, 13)</td>\n",
       "      <td>https://www.zap.co.il/model.aspx?modelid=1177655</td>\n",
       "      <td>12/2022</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>900</th>\n",
       "      <td>Dell Vostro 5620 VM-RD09-14079</td>\n",
       "      <td>Dell</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>Windows 11 Home</td>\n",
       "      <td>1.91 ק\"ג</td>\n",
       "      <td>16 GB</td>\n",
       "      <td>3.4Ghz</td>\n",
       "      <td>1260P</td>\n",
       "      <td>דור 12</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>4506</td>\n",
       "      <td>4699</td>\n",
       "      <td>4602.5</td>\n",
       "      <td>(2023, 6, 13)</td>\n",
       "      <td>https://www.zap.co.il/model.aspx?modelid=1181364</td>\n",
       "      <td>1/2023</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>901</th>\n",
       "      <td>Dell Vostro 3420 VM-RD33-13926</td>\n",
       "      <td>Dell</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>ללא</td>\n",
       "      <td>1.49 ק\"ג</td>\n",
       "      <td>8 GB</td>\n",
       "      <td>2.4Ghz</td>\n",
       "      <td>1135G7</td>\n",
       "      <td>דור 11</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>2239</td>\n",
       "      <td>2690</td>\n",
       "      <td>2464.5</td>\n",
       "      <td>(2023, 6, 13)</td>\n",
       "      <td>https://www.zap.co.il/model.aspx?modelid=1171567</td>\n",
       "      <td>10/2022</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>902</th>\n",
       "      <td>Dell Vostro 5620 VM-RD09-14078</td>\n",
       "      <td>Dell</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>Windows 11 Pro</td>\n",
       "      <td>1.91 ק\"ג</td>\n",
       "      <td>16 GB</td>\n",
       "      <td>4.4Ghz</td>\n",
       "      <td>1240P</td>\n",
       "      <td>דור 12</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>3877</td>\n",
       "      <td>4420</td>\n",
       "      <td>4148.5</td>\n",
       "      <td>(2023, 6, 13)</td>\n",
       "      <td>https://www.zap.co.il/model.aspx?modelid=1181363</td>\n",
       "      <td>1/2023</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>903</th>\n",
       "      <td>Dell XPS 13 Plus 9320 XP-RD33-14056</td>\n",
       "      <td>Dell</td>\n",
       "      <td>לא רלוונטי</td>\n",
       "      <td>Windows 11 Pro</td>\n",
       "      <td>1.26 ק\"ג</td>\n",
       "      <td>16 GB</td>\n",
       "      <td>3.4Ghz</td>\n",
       "      <td>1260P</td>\n",
       "      <td>דור 12</td>\n",
       "      <td>DDR4</td>\n",
       "      <td>...</td>\n",
       "      <td>10285</td>\n",
       "      <td>11700</td>\n",
       "      <td>10992.5</td>\n",
       "      <td>(2023, 6, 13)</td>\n",
       "      <td>https://www.zap.co.il/model.aspx?modelid=1181569</td>\n",
       "      <td>1/2023</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>904 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      model manufacturer gaming_adapt  \\\n",
       "0             Lenovo V14 G3 IAP 82TS0042IV        Lenovo   לא רלוונטי   \n",
       "1       Lenovo IdeaPad 3 15ITL6 82H8039EIV        Lenovo   לא רלוונטי   \n",
       "2             Lenovo V14 G3 IAP 82TS0024IV        Lenovo   לא רלוונטי   \n",
       "3             Lenovo V14 G2 ITL 82KA001NIV        Lenovo   לא רלוונטי   \n",
       "4       Lenovo IdeaPad 3 15IAU7 82RK00DDIV        Lenovo   לא רלוונטי   \n",
       "..                                      ...          ...          ...   \n",
       "899         Dell Vostro 3520 VM-RD09-13959          Dell   לא רלוונטי   \n",
       "900         Dell Vostro 5620 VM-RD09-14079          Dell   לא רלוונטי   \n",
       "901         Dell Vostro 3420 VM-RD33-13926          Dell   לא רלוונטי   \n",
       "902         Dell Vostro 5620 VM-RD09-14078          Dell   לא רלוונטי   \n",
       "903    Dell XPS 13 Plus 9320 XP-RD33-14056          Dell   לא רלוונטי   \n",
       "\n",
       "    operating_system    weight RAM_memory_volume CPU_speed processor_model  \\\n",
       "0                ללא  1.43 ק\"ג             16 GB    4.7Ghz           1255U   \n",
       "1                ללא  1.65 ק\"ג              8 GB    2.5Ghz          1155G7   \n",
       "2                ללא  1.43 ק\"ג              8 GB    3.3Ghz           1215U   \n",
       "3                ללא   1.6 ק\"ג              8 GB    4.2Ghz          1135G7   \n",
       "4                ללא  1.63 ק\"ג             16 GB    4.7Ghz           1255U   \n",
       "..               ...       ...               ...       ...             ...   \n",
       "899  Windows 11 Home  1.69 ק\"ג             16 GB    3.5Ghz           1255U   \n",
       "900  Windows 11 Home  1.91 ק\"ג             16 GB    3.4Ghz           1260P   \n",
       "901              ללא  1.49 ק\"ג              8 GB    2.4Ghz          1135G7   \n",
       "902   Windows 11 Pro  1.91 ק\"ג             16 GB    4.4Ghz           1240P   \n",
       "903   Windows 11 Pro  1.26 ק\"ג             16 GB    3.4Ghz           1260P   \n",
       "\n",
       "    processor_generation memory_type  ... low_price high_price average_price  \\\n",
       "0                 דור 12        DDR4  ...      2197       3102        2649.5   \n",
       "1                 דור 11        DDR4  ...      1590       1925        1757.5   \n",
       "2                 דור 12        DDR4  ...      1298       1848        1573.0   \n",
       "3                 דור 11        DDR4  ...      1564       2446        2005.0   \n",
       "4                 דור 12        DDR4  ...      2628       3599        3113.5   \n",
       "..                   ...         ...  ...       ...        ...           ...   \n",
       "899               דור 12        DDR4  ...      3690       4195        3942.5   \n",
       "900               דור 12        DDR4  ...      4506       4699        4602.5   \n",
       "901               דור 11        DDR4  ...      2239       2690        2464.5   \n",
       "902               דור 12        DDR4  ...      3877       4420        4148.5   \n",
       "903               דור 12        DDR4  ...     10285      11700       10992.5   \n",
       "\n",
       "    Data_acquisition_date                                     comp_model_url  \\\n",
       "0              18.06.2023  https://www.zap.co.il/compmodels.aspx?modelid=...   \n",
       "1              18.06.2023  https://www.zap.co.il/compmodels.aspx?modelid=...   \n",
       "2              18.06.2023  https://www.zap.co.il/compmodels.aspx?modelid=...   \n",
       "3              18.06.2023  https://www.zap.co.il/compmodels.aspx?modelid=...   \n",
       "4              18.06.2023  https://www.zap.co.il/compmodels.aspx?modelid=...   \n",
       "..                    ...                                                ...   \n",
       "899         (2023, 6, 13)   https://www.zap.co.il/model.aspx?modelid=1177655   \n",
       "900         (2023, 6, 13)   https://www.zap.co.il/model.aspx?modelid=1181364   \n",
       "901         (2023, 6, 13)   https://www.zap.co.il/model.aspx?modelid=1171567   \n",
       "902         (2023, 6, 13)   https://www.zap.co.il/model.aspx?modelid=1181363   \n",
       "903         (2023, 6, 13)   https://www.zap.co.il/model.aspx?modelid=1181569   \n",
       "\n",
       "    computer_entry_date                      graphics_card processor_type  \\\n",
       "0                  2022  Integrated Intel Iris Xe Graphics  Intel Core i7   \n",
       "1                מ 2023  Integrated Intel Iris Xe Graphics  Intel Core i5   \n",
       "2                  2022      Integrated Intel UHD Graphics  Intel Core i3   \n",
       "3                  2022      Integrated Intel UHD Graphics  Intel Core i5   \n",
       "4                  2022  Integrated Intel Iris Xe Graphics  Intel Core i7   \n",
       "..                  ...                                ...            ...   \n",
       "899             12/2022                                NaN            NaN   \n",
       "900              1/2023                                NaN            NaN   \n",
       "901             10/2022                                NaN            NaN   \n",
       "902              1/2023                                NaN            NaN   \n",
       "903              1/2023                                NaN            NaN   \n",
       "\n",
       "               series  wireless_network  \n",
       "0          V14 G3 IAP          802.11ac  \n",
       "1    IdeaPad 3 15ITL6          802.11ax  \n",
       "2          V14 G3 IAP          802.11ac  \n",
       "3              V14 G2          802.11ac  \n",
       "4           IdeaPad 3  WiFi 6, 802.11ax  \n",
       "..                ...               ...  \n",
       "899               NaN               NaN  \n",
       "900               NaN               NaN  \n",
       "901               NaN               NaN  \n",
       "902               NaN               NaN  \n",
       "903               NaN               NaN  \n",
       "\n",
       "[904 rows x 31 columns]"
      ]
     },
     "execution_count": 354,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#remove duplicates\n",
    "\n",
    "# Read the merged CSV file into a DataFrame\n",
    "df = pd.read_csv('comp_from_api.csv')\n",
    "\n",
    "# Drop duplicate rows based on 'model' column\n",
    "df = df.drop_duplicates(subset='model', keep='first')\n",
    "\n",
    "# Save the modified DataFrame to a new CSV file\n",
    "df.to_csv(r'comp_from_api.csv', mode='w', index=False)\n",
    "    \n",
    "df = pd.read_csv('comp_from_api.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 355,
   "id": "da629b3b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#cleaning the data\n",
    "\n",
    "df['weight'] = df['weight'].str.extract(r'(\\d+\\.\\d+)', expand=False).astype(float)\n",
    "df['gaming_adapt'] = df['gaming_adapt'].replace('לא רלוונטי', 0).replace('גיימינג', 1)\n",
    "df['operating_system'] = df['operating_system'].replace('ללא', 0)\n",
    "df['operating_system'] = df['operating_system'].apply(lambda x: 1 if x != 0 else x)\n",
    "df['RAM_memory_volume'] = df['RAM_memory_volume'].str.replace('GB', '')\n",
    "df['RAM_memory_volume'] = pd.to_numeric(df['RAM_memory_volume'], errors='coerce')\n",
    "df['processor_generation'] = df['processor_generation'].str.replace('דור', '')\n",
    "df['processor_generation'] = pd.to_numeric(df['processor_generation'], errors='coerce')\n",
    "df['CPU_speed'] = df['CPU_speed'].str.replace('Ghz', '')\n",
    "df['CPU_speed'] = df['CPU_speed'].replace('לא זמין', np.nan)\n",
    "df['memory_type'] = df['memory_type'].str.replace('DDR', '')\n",
    "df['memory_type'] = df['memory_type'].replace('לא זמין', np.nan)\n",
    "df['storage_capacity'] = df['storage_capacity'].str.replace('GB', '')\n",
    "df['storage_capacity'] = df['storage_capacity'].replace('לא זמין', np.nan)\n",
    "df['screen_size'] = df['screen_size'].str.replace('אינטש', '')\n",
    "df['screen_size'] = df['screen_size'].replace('לא זמין', np.nan)\n",
    "df['hard_drive_type'] = df['hard_drive_type'].replace({'SSD': 1, 'eMMC': 2})\n",
    "df['screen_size'] = df['screen_size'].replace('לא זמין', np.nan)\n",
    "df['screen_type'] = df['screen_type'].replace({'LCD': 1, 'IPS': 2, 'OLED': 3, 'LED': 4, 'LED, IPS' : 5})\n",
    "df['screen_type'] = df['screen_type'].replace('לא זמין', np.nan)\n",
    "df['display_refresh_rate'] = df['display_refresh_rate'].str.replace('Hz', '')\n",
    "df['display_refresh_rate'] = df['display_refresh_rate'].replace('לא זמין', np.nan)\n",
    "df['touch_screen'] = df['touch_screen'].replace('ללא', 0)\n",
    "df['touch_screen'] = df['touch_screen'].apply(lambda x: 1 if x != 0 else x)\n",
    "df['webcam'] = df['webcam'].replace('לא זמין', 0)\n",
    "df['webcam'] = df['webcam'].apply(lambda x: 1 if x != 0 else x)\n",
    "df['security_measures'] = df['security_measures'].replace('לא כולל', 0)\n",
    "df['security_measures'] = df['security_measures'].apply(lambda x: 1 if x != 0 else x)\n",
    "df['computer_entry_date'] = df['computer_entry_date'].replace('מ 2023','2023')\n",
    "df['cellular_modem'] = df['cellular_modem'].replace('לא כולל', 0)\n",
    "df['optical_drive'] = df['optical_drive'].replace('לא כולל', 0)\n",
    "df=df.drop(\"processor_model\", axis=1)\n",
    "df['processor_type'] = df['processor_type'].replace({'Intel Core i3': 1, 'Intel Core i5': 2, 'Intel Core i7': 3, 'M1': 4, 'M2' : 5})\n",
    "df['processor_type'] = df['processor_type'].replace('AMD', 0).replace('AMD Ryzen 5', 0).replace('Intel Celeron', 0)\n",
    "\n",
    "df['high_price'] = pd.to_numeric(df['high_price'], errors='coerce')\n",
    "df['low_price'] = pd.to_numeric(df['low_price'], errors='coerce')\n",
    "df['average_price'] = pd.to_numeric(df['average_price'], errors='coerce')\n",
    "df['CPU_speed'] = pd.to_numeric(df['CPU_speed'], errors='coerce')\n",
    "\n",
    "\n",
    "# Save the modified DataFrame to a new CSV file\n",
    "df.to_csv('modified_file.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 356,
   "id": "99883e03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model</th>\n",
       "      <th>manufacturer</th>\n",
       "      <th>gaming_adapt</th>\n",
       "      <th>operating_system</th>\n",
       "      <th>weight</th>\n",
       "      <th>RAM_memory_volume</th>\n",
       "      <th>CPU_speed</th>\n",
       "      <th>processor_generation</th>\n",
       "      <th>memory_type</th>\n",
       "      <th>storage_capacity</th>\n",
       "      <th>...</th>\n",
       "      <th>low_price</th>\n",
       "      <th>high_price</th>\n",
       "      <th>average_price</th>\n",
       "      <th>Data_acquisition_date</th>\n",
       "      <th>comp_model_url</th>\n",
       "      <th>computer_entry_date</th>\n",
       "      <th>graphics_card</th>\n",
       "      <th>processor_type</th>\n",
       "      <th>series</th>\n",
       "      <th>wireless_network</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lenovo V14 G3 IAP 82TS0042IV</td>\n",
       "      <td>Lenovo</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.43</td>\n",
       "      <td>16.0</td>\n",
       "      <td>4.7</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4</td>\n",
       "      <td>512</td>\n",
       "      <td>...</td>\n",
       "      <td>2197.0</td>\n",
       "      <td>3102.0</td>\n",
       "      <td>2649.5</td>\n",
       "      <td>18.06.2023</td>\n",
       "      <td>https://www.zap.co.il/compmodels.aspx?modelid=...</td>\n",
       "      <td>2022</td>\n",
       "      <td>Integrated Intel Iris Xe Graphics</td>\n",
       "      <td>3</td>\n",
       "      <td>V14 G3 IAP</td>\n",
       "      <td>802.11ac</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Lenovo IdeaPad 3 15ITL6 82H8039EIV</td>\n",
       "      <td>Lenovo</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.65</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4</td>\n",
       "      <td>256</td>\n",
       "      <td>...</td>\n",
       "      <td>1590.0</td>\n",
       "      <td>1925.0</td>\n",
       "      <td>1757.5</td>\n",
       "      <td>18.06.2023</td>\n",
       "      <td>https://www.zap.co.il/compmodels.aspx?modelid=...</td>\n",
       "      <td>2023</td>\n",
       "      <td>Integrated Intel Iris Xe Graphics</td>\n",
       "      <td>2</td>\n",
       "      <td>IdeaPad 3 15ITL6</td>\n",
       "      <td>802.11ax</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Lenovo V14 G3 IAP 82TS0024IV</td>\n",
       "      <td>Lenovo</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.43</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4</td>\n",
       "      <td>256</td>\n",
       "      <td>...</td>\n",
       "      <td>1298.0</td>\n",
       "      <td>1848.0</td>\n",
       "      <td>1573.0</td>\n",
       "      <td>18.06.2023</td>\n",
       "      <td>https://www.zap.co.il/compmodels.aspx?modelid=...</td>\n",
       "      <td>2022</td>\n",
       "      <td>Integrated Intel UHD Graphics</td>\n",
       "      <td>1</td>\n",
       "      <td>V14 G3 IAP</td>\n",
       "      <td>802.11ac</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Lenovo V14 G2 ITL 82KA001NIV</td>\n",
       "      <td>Lenovo</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.60</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4</td>\n",
       "      <td>256</td>\n",
       "      <td>...</td>\n",
       "      <td>1564.0</td>\n",
       "      <td>2446.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>18.06.2023</td>\n",
       "      <td>https://www.zap.co.il/compmodels.aspx?modelid=...</td>\n",
       "      <td>2022</td>\n",
       "      <td>Integrated Intel UHD Graphics</td>\n",
       "      <td>2</td>\n",
       "      <td>V14 G2</td>\n",
       "      <td>802.11ac</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Lenovo IdeaPad 3 15IAU7 82RK00DDIV</td>\n",
       "      <td>Lenovo</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.63</td>\n",
       "      <td>16.0</td>\n",
       "      <td>4.7</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4</td>\n",
       "      <td>512</td>\n",
       "      <td>...</td>\n",
       "      <td>2628.0</td>\n",
       "      <td>3599.0</td>\n",
       "      <td>3113.5</td>\n",
       "      <td>18.06.2023</td>\n",
       "      <td>https://www.zap.co.il/compmodels.aspx?modelid=...</td>\n",
       "      <td>2022</td>\n",
       "      <td>Integrated Intel Iris Xe Graphics</td>\n",
       "      <td>3</td>\n",
       "      <td>IdeaPad 3</td>\n",
       "      <td>WiFi 6, 802.11ax</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>Dell Vostro 3520 VM-RD09-13959</td>\n",
       "      <td>Dell</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.69</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3690.0</td>\n",
       "      <td>4195.0</td>\n",
       "      <td>3942.5</td>\n",
       "      <td>(2023, 6, 13)</td>\n",
       "      <td>https://www.zap.co.il/model.aspx?modelid=1177655</td>\n",
       "      <td>12/2022</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>900</th>\n",
       "      <td>Dell Vostro 5620 VM-RD09-14079</td>\n",
       "      <td>Dell</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.91</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4506.0</td>\n",
       "      <td>4699.0</td>\n",
       "      <td>4602.5</td>\n",
       "      <td>(2023, 6, 13)</td>\n",
       "      <td>https://www.zap.co.il/model.aspx?modelid=1181364</td>\n",
       "      <td>1/2023</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>901</th>\n",
       "      <td>Dell Vostro 3420 VM-RD33-13926</td>\n",
       "      <td>Dell</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.49</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2239.0</td>\n",
       "      <td>2690.0</td>\n",
       "      <td>2464.5</td>\n",
       "      <td>(2023, 6, 13)</td>\n",
       "      <td>https://www.zap.co.il/model.aspx?modelid=1171567</td>\n",
       "      <td>10/2022</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>902</th>\n",
       "      <td>Dell Vostro 5620 VM-RD09-14078</td>\n",
       "      <td>Dell</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.91</td>\n",
       "      <td>16.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3877.0</td>\n",
       "      <td>4420.0</td>\n",
       "      <td>4148.5</td>\n",
       "      <td>(2023, 6, 13)</td>\n",
       "      <td>https://www.zap.co.il/model.aspx?modelid=1181363</td>\n",
       "      <td>1/2023</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>903</th>\n",
       "      <td>Dell XPS 13 Plus 9320 XP-RD33-14056</td>\n",
       "      <td>Dell</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.26</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>10285.0</td>\n",
       "      <td>11700.0</td>\n",
       "      <td>10992.5</td>\n",
       "      <td>(2023, 6, 13)</td>\n",
       "      <td>https://www.zap.co.il/model.aspx?modelid=1181569</td>\n",
       "      <td>1/2023</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>904 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      model manufacturer gaming_adapt  \\\n",
       "0             Lenovo V14 G3 IAP 82TS0042IV        Lenovo            0   \n",
       "1       Lenovo IdeaPad 3 15ITL6 82H8039EIV        Lenovo            0   \n",
       "2             Lenovo V14 G3 IAP 82TS0024IV        Lenovo            0   \n",
       "3             Lenovo V14 G2 ITL 82KA001NIV        Lenovo            0   \n",
       "4       Lenovo IdeaPad 3 15IAU7 82RK00DDIV        Lenovo            0   \n",
       "..                                      ...          ...          ...   \n",
       "899         Dell Vostro 3520 VM-RD09-13959          Dell            0   \n",
       "900         Dell Vostro 5620 VM-RD09-14079          Dell            0   \n",
       "901         Dell Vostro 3420 VM-RD33-13926          Dell            0   \n",
       "902         Dell Vostro 5620 VM-RD09-14078          Dell            0   \n",
       "903    Dell XPS 13 Plus 9320 XP-RD33-14056          Dell            0   \n",
       "\n",
       "     operating_system  weight  RAM_memory_volume  CPU_speed  \\\n",
       "0                   0    1.43               16.0        4.7   \n",
       "1                   0    1.65                8.0        2.5   \n",
       "2                   0    1.43                8.0        3.3   \n",
       "3                   0    1.60                8.0        4.2   \n",
       "4                   0    1.63               16.0        4.7   \n",
       "..                ...     ...                ...        ...   \n",
       "899                 1    1.69               16.0        3.5   \n",
       "900                 1    1.91               16.0        3.4   \n",
       "901                 0    1.49                8.0        2.4   \n",
       "902                 1    1.91               16.0        4.4   \n",
       "903                 1    1.26               16.0        3.4   \n",
       "\n",
       "     processor_generation memory_type storage_capacity  ... low_price  \\\n",
       "0                    12.0           4             512   ...    2197.0   \n",
       "1                    11.0           4             256   ...    1590.0   \n",
       "2                    12.0           4             256   ...    1298.0   \n",
       "3                    11.0           4             256   ...    1564.0   \n",
       "4                    12.0           4             512   ...    2628.0   \n",
       "..                    ...         ...              ...  ...       ...   \n",
       "899                  12.0           4              NaN  ...    3690.0   \n",
       "900                  12.0           4              NaN  ...    4506.0   \n",
       "901                  11.0           4              NaN  ...    2239.0   \n",
       "902                  12.0           4              NaN  ...    3877.0   \n",
       "903                  12.0           4              NaN  ...   10285.0   \n",
       "\n",
       "    high_price average_price Data_acquisition_date  \\\n",
       "0       3102.0        2649.5            18.06.2023   \n",
       "1       1925.0        1757.5            18.06.2023   \n",
       "2       1848.0        1573.0            18.06.2023   \n",
       "3       2446.0        2005.0            18.06.2023   \n",
       "4       3599.0        3113.5            18.06.2023   \n",
       "..         ...           ...                   ...   \n",
       "899     4195.0        3942.5         (2023, 6, 13)   \n",
       "900     4699.0        4602.5         (2023, 6, 13)   \n",
       "901     2690.0        2464.5         (2023, 6, 13)   \n",
       "902     4420.0        4148.5         (2023, 6, 13)   \n",
       "903    11700.0       10992.5         (2023, 6, 13)   \n",
       "\n",
       "                                        comp_model_url computer_entry_date  \\\n",
       "0    https://www.zap.co.il/compmodels.aspx?modelid=...                2022   \n",
       "1    https://www.zap.co.il/compmodels.aspx?modelid=...                2023   \n",
       "2    https://www.zap.co.il/compmodels.aspx?modelid=...                2022   \n",
       "3    https://www.zap.co.il/compmodels.aspx?modelid=...                2022   \n",
       "4    https://www.zap.co.il/compmodels.aspx?modelid=...                2022   \n",
       "..                                                 ...                 ...   \n",
       "899   https://www.zap.co.il/model.aspx?modelid=1177655             12/2022   \n",
       "900   https://www.zap.co.il/model.aspx?modelid=1181364              1/2023   \n",
       "901   https://www.zap.co.il/model.aspx?modelid=1171567             10/2022   \n",
       "902   https://www.zap.co.il/model.aspx?modelid=1181363              1/2023   \n",
       "903   https://www.zap.co.il/model.aspx?modelid=1181569              1/2023   \n",
       "\n",
       "                         graphics_card  processor_type            series  \\\n",
       "0    Integrated Intel Iris Xe Graphics               3        V14 G3 IAP   \n",
       "1    Integrated Intel Iris Xe Graphics               2  IdeaPad 3 15ITL6   \n",
       "2        Integrated Intel UHD Graphics               1        V14 G3 IAP   \n",
       "3        Integrated Intel UHD Graphics               2            V14 G2   \n",
       "4    Integrated Intel Iris Xe Graphics               3         IdeaPad 3   \n",
       "..                                 ...             ...               ...   \n",
       "899                                NaN             NaN               NaN   \n",
       "900                                NaN             NaN               NaN   \n",
       "901                                NaN             NaN               NaN   \n",
       "902                                NaN             NaN               NaN   \n",
       "903                                NaN             NaN               NaN   \n",
       "\n",
       "     wireless_network  \n",
       "0            802.11ac  \n",
       "1            802.11ax  \n",
       "2            802.11ac  \n",
       "3            802.11ac  \n",
       "4    WiFi 6, 802.11ax  \n",
       "..                ...  \n",
       "899               NaN  \n",
       "900               NaN  \n",
       "901               NaN  \n",
       "902               NaN  \n",
       "903               NaN  \n",
       "\n",
       "[904 rows x 30 columns]"
      ]
     },
     "execution_count": 356,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 357,
   "id": "05c7c17e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <th>operating_system</th>\n",
       "      <th>weight</th>\n",
       "      <th>RAM_memory_volume</th>\n",
       "      <th>CPU_speed</th>\n",
       "      <th>processor_generation</th>\n",
       "      <th>touch_screen</th>\n",
       "      <th>webcam</th>\n",
       "      <th>security_measures</th>\n",
       "      <th>low_price</th>\n",
       "      <th>high_price</th>\n",
       "      <th>average_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>904.000000</td>\n",
       "      <td>889.000000</td>\n",
       "      <td>899.000000</td>\n",
       "      <td>781.000000</td>\n",
       "      <td>776.000000</td>\n",
       "      <td>904.000000</td>\n",
       "      <td>904.000000</td>\n",
       "      <td>904.000000</td>\n",
       "      <td>894.000000</td>\n",
       "      <td>894.000000</td>\n",
       "      <td>903.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.665929</td>\n",
       "      <td>1.663813</td>\n",
       "      <td>14.758621</td>\n",
       "      <td>3.443534</td>\n",
       "      <td>11.359536</td>\n",
       "      <td>0.162611</td>\n",
       "      <td>0.984513</td>\n",
       "      <td>0.519912</td>\n",
       "      <td>4619.597315</td>\n",
       "      <td>5545.436242</td>\n",
       "      <td>5081.642303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.471926</td>\n",
       "      <td>0.315578</td>\n",
       "      <td>7.287190</td>\n",
       "      <td>0.736589</td>\n",
       "      <td>2.051809</td>\n",
       "      <td>0.369214</td>\n",
       "      <td>0.123547</td>\n",
       "      <td>0.499880</td>\n",
       "      <td>2678.265824</td>\n",
       "      <td>3874.454242</td>\n",
       "      <td>3112.991753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.780000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.100000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>785.000000</td>\n",
       "      <td>1250.000000</td>\n",
       "      <td>1029.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.400000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2698.250000</td>\n",
       "      <td>3242.250000</td>\n",
       "      <td>2965.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.650000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>3.400000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3835.500000</td>\n",
       "      <td>4598.500000</td>\n",
       "      <td>4255.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.760000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>3.700000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5788.250000</td>\n",
       "      <td>6820.500000</td>\n",
       "      <td>6310.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>14799.000000</td>\n",
       "      <td>73528.000000</td>\n",
       "      <td>40705.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       operating_system      weight  RAM_memory_volume   CPU_speed  \\\n",
       "count        904.000000  889.000000         899.000000  781.000000   \n",
       "mean           0.665929    1.663813          14.758621    3.443534   \n",
       "std            0.471926    0.315578           7.287190    0.736589   \n",
       "min            0.000000    0.780000           4.000000    1.100000   \n",
       "25%            0.000000    1.400000           8.000000    3.300000   \n",
       "50%            1.000000    1.650000          16.000000    3.400000   \n",
       "75%            1.000000    1.760000          16.000000    3.700000   \n",
       "max            1.000000    2.900000          64.000000    5.000000   \n",
       "\n",
       "       processor_generation  touch_screen      webcam  security_measures  \\\n",
       "count            776.000000    904.000000  904.000000         904.000000   \n",
       "mean              11.359536      0.162611    0.984513           0.519912   \n",
       "std                2.051809      0.369214    0.123547           0.499880   \n",
       "min                2.000000      0.000000    0.000000           0.000000   \n",
       "25%               11.000000      0.000000    1.000000           0.000000   \n",
       "50%               12.000000      0.000000    1.000000           1.000000   \n",
       "75%               12.000000      0.000000    1.000000           1.000000   \n",
       "max               13.000000      1.000000    1.000000           1.000000   \n",
       "\n",
       "          low_price    high_price  average_price  \n",
       "count    894.000000    894.000000     903.000000  \n",
       "mean    4619.597315   5545.436242    5081.642303  \n",
       "std     2678.265824   3874.454242    3112.991753  \n",
       "min      785.000000   1250.000000    1029.500000  \n",
       "25%     2698.250000   3242.250000    2965.000000  \n",
       "50%     3835.500000   4598.500000    4255.000000  \n",
       "75%     5788.250000   6820.500000    6310.000000  \n",
       "max    14799.000000  73528.000000   40705.500000  "
      ]
     },
     "execution_count": 357,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 358,
   "id": "b8e39b8f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def split_to_numeric_catagoricals(data_frame):\n",
    "    cols=data_frame.columns\n",
    "\n",
    "    Numericals_arr=[]\n",
    "    Categoricals_arr=[]\n",
    "    for col in cols :\n",
    "        res =data_frame.copy()\n",
    "        if (type(data_frame[col][0]) == np.dtype(int) or type(res[col][0]) == np.dtype(float)) and res[col].nunique()>5:\n",
    "            Numericals_arr.append(col)\n",
    "        else:\n",
    "            Categoricals_arr.append(col)\n",
    "    return Numericals_arr,Categoricals_arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 359,
   "id": "3b81cee0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "numericals: 9 \n",
      "catagoricals: 21\n"
     ]
    }
   ],
   "source": [
    "numeric_cols,categor_cols=split_to_numeric_catagoricals(df)\n",
    "print('numericals:' ,len(numeric_cols) ,'\\ncatagoricals:' ,len(categor_cols))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 360,
   "id": "9ecefcf9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Number of cumputers for each manufacturer')"
      ]
     },
     "execution_count": 360,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#visualize number of cumputers for each manufacturer in my df\n",
    "df['manufacturer'].value_counts().plot(kind='bar', figsize=(12, 12)) \n",
    "text = 'Number of cumputers for each manufacturer'\n",
    "plt.title(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 361,
   "id": "f4085f34",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Division by percentages')"
      ]
     },
     "execution_count": 361,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['manufacturer'].value_counts().plot(kind='pie',autopct=\"%.2f%%\", figsize= (18,10))\n",
    "text ='Division by percentages'\n",
    "plt.title(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 362,
   "id": "8bf716d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fcc5415f9a0>"
      ]
     },
     "execution_count": 362,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#looking into processor type distribution for each manufacturer\n",
    "T = sns.catplot(\n",
    "    x='manufacturer', \n",
    "    data = df,\n",
    "    kind='count',\n",
    "    hue='processor_type',\n",
    "    height=5, \n",
    "    aspect=4,\n",
    "    legend=False,\n",
    "    ).set_axis_labels('manufacturer', 'processor type')\n",
    "T.ax.legend(labels=['Intel Core i7','Intel Core i5','Intel Core i3','other','M1', 'M2'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 363,
   "id": "ba507c42",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#number of computer with ram memory value 4/8/16/32\n",
    "\n",
    "sns.histplot(df['RAM_memory_volume'], bins=[4, 8, 16, 32], discrete=True, kde=False)\n",
    "\n",
    "# Set labels and title\n",
    "plt.xlabel('RAM Memory Volume')\n",
    "plt.ylabel('Count')\n",
    "\n",
    "# Display the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 364,
   "id": "8e4830e4",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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WzC0333yztVxUVGTq1KljZs+ebYw5PgtFrVq1TE5OjtVnzpw5Rjq1mVvKUvw8yxhjIiMjzWOPPWYt5+fnm7p1657wtSgtLc1IMjt37jTG/DkzS1nbefzxx40xZZ9TVHdlnZ+i4nz66aduj0OX77//3gQEBFgzEb755pvG6XSecFtRUVFu91V6erqx2+2mVatWbv3q1q1r5s6da4xh5hagMp1P5y3AucJ5CypLhc/csmjRItWvX18tW7aUJLVq1Ur169fX4sWLrTan06maNWsqLi5OYWFhqlmzpsaNGydJOnDggHx8fJSWlian06kaNWqoZs2akqQGDRpYvx719fWVdPxXpREREdZy586dS/3izfXLUEnasGGDJLn9UuDYsWP64YcfJKnUr6GKioqsX5+tXbu2zDGbEr9Ok45ngp7smuk+Pj4nbAcAAAAqU0BAgCT382mXZ5991m25Zs2aiomJcev/f//3f5L+nOkwIyNDo0ePVkhIiCSpUaNGko6f07tuy263y+l0ym63W7Mtumb1uOKKKyRJAwcOlHT8PPyxxx7TnDlzrBll1q9fL0lq3LixNTPj999/r9atWystLU3e3t5q27btGe2P6dOna8qUKWrSpIn8/f1ljNGMGTPcrtG9Y8cOdenS5Yy2fzLNmze33vdI0tatW7Vnzx4FBwcrKChIQUFBCgsL07Fjx7R3795y1zuZb775Rp999pk1g4a3t7f69u2rF154QZJ0xx13aPHixWrVqpXGjh172r90u/POO/Xoo4/q0ksv1cSJE/XFF1+c1vqerHPnztqxY4db+e9//1uqX926dRUUFKTw8HDt3r1br732mttsSJ7uZI8Rl3bt2ln/h4WFqXHjxtq9e7dV5+3tbc1sJElNmjRRjRo13Pq4/Prrrzp48KAGDRpkPd6DgoL06KOPuj3eqyJjjGw2m7Zu3aojR46oVq1abmPct29flR8jqq+SsxW7Hs/Vyffff6/8/HxdcsklVl1oaKgaN25sLW/fvl3XXHONYmJiFBwcrE6dOkmS2zmCJLVo0cL6PyIiQgEBAapfv75bXVpa2gnjKb4Nm80mp9NprfPNN9+oRYsW8vPzs/oUj/tUPPvss2rdurVq166toKAgt/OsjIwMpaSkuL2+l3wtl6S9e/eqX79+ql+/vkJCQhQbGyup9P4oaztlHQOAivDf//5XiYmJio+Pt+qKior0r3/9SyEhIRo9erRSUlK0dOnSk57Pp6SkKDAw0FquUaOGIiIi1KtXL7d+9erV088//1yxAwFwxs6H8xYAqO5OfD2dM/DCCy/oq6++crtUT1FRkebOnStjjL766it99dVXMsbo8OHDVp8aNWpIkj7++GNJ0nfffaegoCAdOXLESmgpPj2gK3Gk5JsiX19ft+nTXbfvEhgYqCNHjljblo6/cXz++ed1zTXXqEaNGvr999+t/l5eXjLGyBijwsLC09oXdrvdWsfHx6dU0k1Vm3YaAAAA55djx45JkhwOh3Jyck7Y99ChQzp06JCkP8+/n3/+eUmyLvcZGxur2bNnKzo6WtLxyxl9++23MsZo8+bNat26tY4cOSJfX1/Z7XZlZGTohx9+sJJaXEkzL7/8siQpMjJSKSkpSkpK0o8//qjU1FR9++23bsky/v7+ysrKst6PeHt7W/FlZWW5jaGwsLDc6cel4+9BJkyYoIceekjdu3dXaGioFi9erKlTp1p9XJeYOR2u9xzFlfVeofgH6NLx/ZyQkGDtj+Jq165d7nonM3fuXBUUFOiCCy6w6owx8vHxUXp6unr06KEffvhB7777rlavXq0uXbpo+PDhevLJJ90uGVveWAYPHqzu3bvr3Xff1cqVKzVlyhRNnTpVI0eOPK04PVFgYGCpS9D++OOPpfqtX79eISEhql27tpXsVZWc7DFyIiU/PC7rw+Sy6lzP2zlz5qhNmzZubSd63lYFu3fvVmxsrIqKihQZGakPP/ywVB/XZyaApwgPD5fdbldqaqpbfVpamiIiIiopqrPDdUwr6wsx6fgleJKSkpSUlKSFCxeqdu3aOnDggLp37+52mUDJ/YduNput1A/fbDZbqUv3lHSidcr6kq6sH+WV59VXX9Xdd9+tqVOnql27dgoODta///1vffrpp6e8DUnq1auXoqOjNWfOHEVFRamoqEjx8fGl9kdZ+JIRZ0N2drYWL16sWbNmudUvWLBAn376qfbu3avu3bvr4osvVnh4uFasWHHC7ZV8ruXl5enXX391S9iSjj9fXe+p6tWrp4cffriCRgTgdJxP5y0AUN1V6MwtO3fu1JYtW/Thhx+6/VLto48+0meffWa1/fOf/5R0/Lqq0vE3LUOGDPkzKC8vHTp0SD/99JNyc3PVoUMHScc/BHU4HJL+fGNWr149q046/gF8z5493eKqW7eudTuuhJajR49a7cVnWHElthT/UNYY43Ybp8Jms512MgwAAABwrpQ1G0tJri/di4qK5HQ6y+xT/Etl14yLf/vb3xQUFKSaNWvKZrNZs4a4/h48eFCSrHNsm82muXPnKjg4WJKsJJTvvvtOR48e1YABAyRJP//8swIDA3XppZdKkvWLaVfywNtvv606deqoVq1a8vLyUkFBgfLz89WkSRPddNNNat26tXbs2KHExETZbDb973//s2L/7rvvTvqFy9dff62YmBhNmDBBrVu3VlxcnDUDpEuLFi20Zs2acrfh6+tb6n1C7dq1lZqa6vbl044dO04YiyRdfPHF+u6771SnTh01bNjQrYSGhp50/bIUFBToxRdf1NSpU93e033++eeKiYmxEmlq166tW265RQsXLtSMGTOsRCZXUk1KSsoJxxIdHa2hQ4fqzTff1JgxYzRnzpwzireqio2NVYMGDapkYsupPkYk6ZNPPrH+T09P17fffqsmTZq4bWvLli3W8jfffKPff//drY9LRESELrjgAn3//felHu+uGQGqog8++EA7d+7U9ddfr4svvlipqany9vYuNcbw8PDKDhVw4+vrq4SEBK1atcqtftWqVUpMTKykqM6OBg0ayMfHR5999plVl5mZqe+++07S8fODQ4cO6bHHHtNll12mJk2anHT2lbOlSZMm+uKLL9x++Ff8dfZk1q9fr8TERA0bNkwXXXSRGjZs6DZzVGhoqCIjI91e3wsKCrR161Zr+fDhw9q9e7ceeOABdenSRU2bNi038bGs7biOAa7zRj5fRUVYsmSJ7Ha79b2Ey8qVK9WjRw8FBARo7ty5+v333zVu3Di3BN5TsXv3buXn5+viiy8ut8/ll1+u22677YziB/DXnE/nLQBQ3VXozC1z587VJZdcYiWjFBcZGSljjDp06KCxY8fKy8tLixcvVvPmzWWM0ZIlS3TDDTdow4YN+uWXX2S3261f+G3atEleXl6aN2+eAgICZLfbdfToUdntdnl7e5d6k/POO+9IOv4huc1mU3p6ury8vKxfMXh7e1u/HpWOJ8Rcf/318vX1tT5Qbty4sb788ktrOT8/35p9xWazyW63u22jpJP98rKsmVwAAACAc+VkvwqW/kz8zs3NLfULJ39/f+Xk5Lidi7u+uPj+++/VoUMHrVmzRg0aNNCePXskSbt27VJAQIBycnJkjNFPP/0kSYqLi9O0adOs7fj6+ionJ0f5+fluU++7LvnjugzOvn37JP0568EzzzyjX375xXo/8s4776iwsFDffvutatWqJZvNpnfffVeffvqpYmJi9Pbbb2vbtm0qKirSfffdd9LZH4KDg3XgwAE9++yzatWqlVavXq2lS5e69Zk4caK6dOmiBg0a6IYbblBBQYGWL1+usWPHSpIuvPBCffTRR7rhhhvkcDgUHh6uTp066ddff9UTTzyhf/zjH1qxYoWWL19+0sSHm266Sf/+9791zTXX6OGHH1bdunV14MABvfnmm7r33nutJP/T8c477yg9PV2DBg0qlSDzj3/8Q3PnzlVaWpoSEhLUrFkz5ebm6p133lHTpk0lSQ0bNlR0dLSSk5P16KOP6rvvvnOb2UaSRo0apR49eqhRo0ZKT0/XBx98YK0Pz3cqj5Hp06dLkh5++GHVqlVLERERmjBhgsLDw3Xttdda/X18fDRy5Eg9/fTT8vHx0YgRI9S2bdtyL6GRnJysO++8UyEhIerRo4dyc3O1ZcsWpaena/To0WdtzBXF9VpaWFioX375RStWrNCUKVPUs2dPDRgwQF5eXmrXrp2uvfZaPf7442rcuLF+/vlnvffee7r22mtLXfYDqGyjR49W//791bp1a7Vr107PP/+8Dhw4oKFDh1Z2aBUqODhYAwcO1L333quwsDDVqVNHEydOlJeXl2w2m+rVqydfX1/NnDlTQ4cO1ZdffqlHHnmkUmLt16+fJkyYoP/7v//TuHHjdODAAT355JOSTm1GlIYNG+rFF1/U+++/r9jYWL300kvavHmzWxLhXXfdpccee0xxcXFq2rSppk2b5jYLds2aNVWrVi09//zzioyM1IEDB6zL0Zf0zDPPWNuZPn260tPTrS//Y2JiZLPZ9M477+jKK6+Uv7+/danK6uTIkSPWubJ0/Px2x44dCgsLU7169Soxsurlv//9rwYMGFBqlsVff/1VDRo0kHT8kqnJycm666671K1bt9O6ZOTnn38up9PJDBCABztfzluAs4nzFngEU0Fyc3NNrVq1zBNPPFFmW0BAgAkICDBZWVnG39/fOJ1OExgYaEJCQoy3t7fx9fU1qampJikpydjtdlO3bl0jyUgyNpvN+uvn52ckGYfDYWw2m7Hb7cZmsxkvLy+rf/H1QkJCTL169axtnErp2bOnufnmm42/v3+Z7Xa7vcz6wMDAU74NCoVCoVAoFAqlupaoqCgTFBRUZpuvr6+58sory2zz9va2zvel4+fll112mXE4HGX2t9vtplOnTiYiIsJIx8//H3roITNw4EBzzTXXmJ49e5orr7zSvPbaa6ZmzZrGZrOZJk2amDfeeMOsWLHCSDL+/v4mLi7OvPfee8bf39/4+/tb72NatmxpJk6caMzxzPUyy1VXXWVCQ0Pd3v+88cYbplWrVsbX19eEh4eb3r17W20ff/yxadGihTUml9mzZ5vo6GgTGBhoBgwYYCZNmmRiYmKsdteYSkpJSTEDBgww4eHhxuFwmPr165vbb7/dZGRknHC98rj2WVm2bt1qJJmHHnrING3a1Pj7+5uwsDBzzTXXmO+//97qt2HDBtO8eXPj5+dnLrvsMvPaa68ZSWbfvn3GGGNGjBhhGjRoYBwOh6ldu7bp37+/OXTo0CnH6KnK29dr1641kkx6errb/1XVqTxGpk6daiSZ//3vf6ZZs2bG19fX/P3vfzc7duyw+s6bN8+EhoaaN954w9SvX9/4+vqayy+/3Ozfv9/qM3HiRNOyZUu323j55Zet51fNmjVNhw4dzJtvvnlWxlqRBg4c6PZaV7t2bdO1a1fzwgsvmMLCQqtfZmamGTlypImKijI+Pj4mOjra3HTTTebAgQPGmNL75HSf40BFe+aZZ0xMTIzx9fU1F198sVm3bl1lh3RWZGZmmn79+pmAgADjdDrNtGnTzCWXXGLGjRtnjDFm0aJF5sILLzQOh8O0a9fOvP3220aS2b59uzHGlPn673odLK7kc7xjx47mrrvuspZjYmLM9OnT3dYpfr5ijDEbN240LVq0ML6+viYhIcEsWrTISDJff/31Scd57Ngxc8stt5jQ0FBTo0YNc8cdd5hx48a5xZSfn2/uuusuExISYmrUqGFGjx5tBgwY4PZatGrVKtO0aVPjcDhMixYtzIcffmgkmaVLlxpjjNm3b5+RZBYtWmTatGljfH19TdOmTc2aNWvc4nn44YeN0+k0NpvNDBw48KTxV0Wux0bJUl3HWxm++uorI8l8+eWXpdo6duxoJkyYYC0XFBSY1q1bm3/84x8n3KYks2rVKmt59OjR5oorrjDGGPP2228bh8NhfX9RfPsn2gaAs+98OW8BzhbOW+AJKiy55XSU9QFVybaBAweaxo0bW2/QyvvwxtWvZs2apT7QKb5e8XVc9RMnTixzveL9T/WDovLG9Fdvq2PHjsbPz++Et+n6AqCsNtc2GzRoYJxOZ6nbrVWrlvH29rZiL+v2XF8EuGIrb1un+4HaiR4Hf2W751rJDxrK8+CDD5qgoCBz0UUXmbvuust07NjR3HnnnSYuLs74+/sbHx8fs2HDBtOoUSMzYcIE06hRI/PAAw+YwYMHm/bt25vBgwcbHx8f4+vra4KDg83UqVNNo0aNjCTTrFkz68ui9u3bG0mmdu3a1gceZcXYsWNHExQUZGrXrm3CwsLMAw88YHJzc92+TDLGmMLCQiuWsrjaXTFfdtllpmXLlqXqH3jgAasuICDASDI+Pj7GZrOZSy+91LRt29bcf//9Ji4uzvqySpK57bbbzGeffWYkWclz7733nnE4HGbmzJlmwIABJjAw0BpDYWGhCQ4ONpJMeHi4sdlsxtvb29SpU8fExcVZbyz79OljAgMDrdtxJcD5+voaHx8fq87Pz894eXlZMQcEBLjti1deecUEBgaaKVOmGF9fXyPJzJo1y0gyXl5eJjAw0NStW9f4+/ubkJAQs2vXLuPt7W0iIiJMy5YtzcGDB40ks3r1ajN48GDTokULI8ns2bPH7fk9dOhQt5MFf39/06dPHxMaGmokmcGDB1uJfi1btjSSTNOmTc3AgQPNVVddVepko379+m7LQUFBpRL07r77brfEwJYtW5pXX321zJOX22+/3W15+/btZSYVuvatJNO2bdtykwVdJSAgoMztREdHm4EDB1r7XCo7wTAkJKTUclnJkOe62Gw2c+utt5aqd43BtV+8vb2t+8fVx9fX11x00UWlXhtd7d27d7ceF15eXtbrg9PpNImJiWbkyJHWOq5+AwcONB07djRt27Y1gYGBpmnTpiYtLc0YY6zXoOJq165tJJnvvvvO7fXF1XfevHlGkrngggtMz549jSTrS9ylS5dasZZ1/7sSV13LNWvWdGt3vUa4imsfFS/FvwT38fExkZGRbo+VkJAQExAQYP7v//7PepwlJCSUiqP4cslYXe12u93Uq1fP7Xly8803m8jISBMdHW31LfnYs9lspV5rXNu85557jDHGen1wOp3mwgsvtMbboUMHEx0dbcLCwowk061bN7ftBgcHm5ycHFOjRg0TEhJi7Ha71bdly5ambt265sorr7Ti8ff3Nx06dLDu36+//tpIMq+88orx9vY2TqfT1KhRw1x++eUmKSnJiuXXX381vXr1Mk6n0yxZssTtMTJkyBBz1VVXmZEjR5p//OMfJjQ01OTl5ZnmzZuX6uvSrVs3Y7fbTYMGDaw+I0eONEFBQcbLy8s0adLEelwac/wLfUlm8+bNJicnxyQlJbk9douLiooyderUMcYYM3z4cOPt7W0lMERERBhvb28TFRVlIiMjzbfffltmfAsXLjSSTHZ2ttm6das1JpdevXqZxx9/3FouKCgwYWFhZtOmTcZut5tJkya5bW/q1KmmR48e1nLz5s1NvXr13PZP8T4l+5fUvHlzM3r0aNO0adNy+xQ/fp4p133466+/Gm9vb5OSknLG2zqRw4cPm1atWpkOHTqY7OzsU1rnjTfeOOH4AZw7p5LEU9aXugBQVRw5csSEhoaa//73v5UdykktXLjQ+Pj4mKNHj1Z2KBZXcosr+Qc4H0kktwAAAJwuLwE4Jx566CE9+OCD+uGHH/Tpp5/q0KFDeuutt7Rnzx7l5eWpffv2GjFihPbs2aPPPvtMe/bs0fvvv6/58+erRo0amjt3rvLz8+VwOFRYWKinn37amv7LdS3nvLw8DRw4sNwYfvjhBz322GN69NFHdejQIWVnZ+vXX3/Vb7/9pm+//VY1atSw+t50003auXOn7rjjDu3bt0/9+vWztjFnzhytXbtWEydOVL9+/fT9999r+/bt2rt3r8LCwpSammrVr1ixQt9//70CAwMVGxurb7/9VkePHpXNZlN+fr6MMTpw4IA2b96sOXPmWNesdl3iwOl0qkuXLvL29tbw4cP1ww8/6PPPP1e/fv20adMmrVy5UtnZ2crIyNCXX36pevXqKSsrSz4+Pjp06JCMMSosLFROTo727t2r0NBQGWP0zjvvKDs727od88elxPLy8qxLhhljdOzYMRUVFSknJ8dq79evn3Jzc7Vr1y49/fTTio2N1RNPPKG8vDzZ7XbrsgNFRUXKzs5WWlqa8vLy1K5dOz300EMqKChQeHi49u/fr8suu0zh4eFat26d5s2bp19//VWXXnqpGjRooLS0NOuSER988IHbfent7a1GjRpZy7/88ovi4uLcLvHgcDj0zTff6MMPPyz1WNi/f7/bct26dZWdne1Wt2zZMrdLrDkcDo0fP77Mx9aiRYskSQEBAVZdWVMeF78c2y+//HLSa2cfPXq0zPqsrCx98MEHysvLs+rK2pbrfnPJy8s7pctwnG02m00fffRRqXrXfeAai+sa48VjzsvLk8PhsJaTk5N17733Wsvvv/++MjIyJB1/DIeHh6tBgwZKSkrSxx9/rOHDhys7O1vTp0+3+iUmJurIkSP6+uuv1bJlS3Xr1k1LlizRzJkztWDBAjmdTn3++efas2ePHnvsMf3666+y2+16/fXXdeTIEf3+++9W34EDB6qoqEi333671q9fb03v6+Pjo7p167pddiQwMNBt/F5eXoqMjJTdbrdej1z7xG63y2azycfHx22dkvdnYGCgfH19rX3nukRh8Usm1qhRQ61bt1ZISIiuvfZa5efn629/+5sWL15s9THGqHbt2rLZbAoMDFRYWJhq1qxpPcaDg4NVo0YNhYSEKDExUXa7XXa7XV5eXhowYICGDBmiFi1aWJcy7Nixo8aPH6/4+HhFR0erVatWatasmdq3b6+GDRuqsLBQvXv3VnR0tN544w3l5OTo999/V9euXdW7d2+lpaUpMDBQgwYN0ieffKJRo0YpODhYDRo0cHvu1qhRQ9dff71+/fVX9e/fX/Xr11dYWJjGjBmj2rVr64svvtCPP/6o6Oho6/WqSZMmat26tY4ePapp06bpww8/VLdu3bR69WoVFBTo7rvvVn5+vnX/BQYGKiYmRuHh4Wrbtq1uvPFG9ejRQ9Lx5+ZHH32kN998U127dlV8fLyuu+46zZw5U8YYXX/99VbfkgYPHqzRo0erYcOG6t69u9LS0pSVlaUjR47ogQce0MCBA/XRRx/JGKP9+/fr0UcfVUREhOLj4+Xn56e33npLAwYMcHtupaWlacGCBfr55581fvx45ebmyt/fX7Vr11ZSUpIkqVWrVmrTpo1ee+013XfffVq/fn2Z8eXl5WnIkCEKCAhQQUGBZs6c6fZ4bN++vW688UZr+fDhw7r77rtVt25ddejQQSNGjHDbXt26da3X1Ly8PF1zzTW66aab3PZP8T7F/y8rtuuvv16XXXaZHn/88TL7SFKPHj20fPly/fbbbzp06FC5/crjup0ePXrot99+07Rp0+R0Ok97O6ciLCxMq1evVpcuXfTxxx+f0jpBQUEnHD8AAMCZ2r59u1555RXt3btX27Zt00033SRJuuaaayo5stJefPFFbdiwQfv27dOyZct03333qU+fPqUuxwIAAAAAVY13ZQcAnE9uuOEGPfzww/r0009ljJHNZpOfn5+MMVq3bp31JezatWtljNGWLVtkjNG7776r2rVrKzMzU0eOHJExxvpyuaioSL/++qskKT4+XoMHD9btt99e5u17eXnp9ddf144dO0olArz66quSjn8BHRMToyFDhsgYo/j4eK1evVpNmza1tjF//nzt3LnTSjzw9fVVamqqmjZtquXLlysvL0+vv/66fHx89O2338rhcOjhhx/WsWPHrNtzJU04HA4dPHhQkqxxFDdlyhQ5nU4tX75cAQEBZY7BbrfL19dXb731lrVdVxKF64vlgoICNWzYUN9++62k8pMmymOMUf3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lTj/99HTv3j2tW7fOJz/5yTWWM1/9UUhjx45NdXV1dt555w+sY8cdd8y3v/3tfP7zn89WW22VHXbYIb/+9a/z97//PUcddVS22mqr9OrVK48++mi9+91yyy3ZbbfdUlFRkR133DFXXHFFveMLFizIEUcckdatW6d79+75xS9+scbXXrRoUb74xS+mS5cuad++fQYMGJAnnniieLympiZ77LFHrr322my//fbZaqut8uUvfzkrV67M5ZdfnqqqqnTp0qX4nKzNmWeemb333jtnnHFGvf2rl9xfmwsuuCDLly/PSy+9lGOPPTZDhw7N3LlzkyRf/vKXs8cee+RLX/pSvfuUl5evs4bVfvKTn2TBggVp3759LrjggiTJgQcemLfeeqveNmTIkBx22GEf+Hibg2OPPTZvvfVWli1blqeeeio77bRTDj744CxevLjeuA86D039PK128sknrzHP3Xbbrd48P8w1PWPGjPzHf/xHzjnnnDz22GMpKyvLyJEj88tf/jLHH398PvvZz2bx4sW55JJLctJJJ2X+/PkbdZ5sHAcccEBuv/32vPLKKykUCrnvvvvy7LPP5pBDDkmSVFRUpKqqKh/72Mey11575etf/3q22Wab/OMf/yj2niuvvDJPPPFEbrrppnTr1i1nnXVWbrvttvTp0yf9+vXLqaeemkWLFhVXgampqUmSTJ48OX369Em7du1SVVWVE044IQsWLCjWtmrVqixZsiQdO3Ys7nv44YczePDgev3tnnvuya9+9au1fqzKtddem759+yZJ/vVf/zXnnHNO8dhzzz2XAw88MK1atUqPHj3Spk2bDBw4sNhnV3+02euvv168z+zZs1NWVlbs3e/9qKEnnngiBx10UPFjdXr37l3she8eO2nSpFx66aX561//mn/84x8pKysrns/39vo5c+bklltuyYwZM9KpU6d88YtfzO9+97v069cvFRUVxT7+t7/9La+++mq22WabnH322VmxYkW9c7G285n8X+9t1apVqqqq8tRTT6WioqLemCuvvDK9evVK27Zti8/x0qVL88ADD6Rbt275y1/+krq6uuJzvOOOO+bBBx/M8uXLix8N8sADD2SfffbJ/fffn4cffrhY/2onnHBCkuR73/teVq5cmUWLFuXnP/95Bg8enBYtWhTr32233bJixYr88Y9/rFdjoVDIPffck2eeeSYHHnjgGtfCuixYsCB/+MMf0qVLl/Tt2zcnnXRSVq5cWfzoo3VZtGjRGtfme+d0yCGH5NVXX13na71CobDW5+Qzn/lMXnrppbzwwgsfeU5nn312Fi9enH79+r3vnNZnPl26dHnf+ax+jlasWLHOOd1www0l/Ryt/hnz7jk1b948r776ar3vqYZ8jjbFdXfdddfl+eefzyWXXJJCoZBVq1Zt1Ouub9++qays/MDrrqE8/vjjeeihh9KvX796+1fP6a9//etGr2FDCLcANKB//OMfWblyZfFz/VarrKxMbW1tI1UFADQEfR6ApqxU+tzo0aNz2WWX5eKLL85TTz2VG264IZWVlXnzzTdz0EEHZauttsoDDzyQBx98MFtttVUOPfTQLF++fKPUsmrVqmy33Xa5+eab89RTT+Ub3/hGvv71r+fmm2+uN+6ee+7J008/nenTp+e///u/1+uxr7rqquy///55/PHHc/jhh+fkk0/O5z//+Zx00kl57LHHstNOO+Xzn/98CoVCkneWVh82bFiOP/74zJkzJzU1Nbn44ovrBXOGDx+eF154Iffee29+9atf5eqrr673h85CoZDDDz88tbW1xY9Z2GuvvXLwwQfnn//8Z3Hc888/nzvvvDN33XVXbrzxxlx77bU5/PDD8/LLL2fGjBm57LLLctFFF+WRRx5Z69zKysoyceLE/P73v891112X5J1l37t06ZKysrI1xr87HLDttttm5MiROfbYYzN27Nji4/30pz/NvffeWwzsvP7666mqqlqvc92qVascccQRmTNnzlqPz58/P3feeWe++MUvrtfjbU46deqU7373u2nWrNka1+17fdB5aMrn6d3++Mc/5k9/+lO9eW7oNb3atddem4MPPrg45rOf/Wz+8Y9/pFmzZvna176Wli1b5qSTTkplZWXuvPPOjTsxNoof/OAH2XXXXbPddtulZcuWOfTQQ3P11VfngAMOWOd9Xn/99Wy//fa59dZbk7wTkjrttNNSXl6e66+/Pvfee2+ee+65XHPNNdl3331z/vnnp1WrVqmoqMj3v//9nH/++UneCaV+61vfyhNPPJHbbrst8+bNy/Dhw4tf54orrsgbb7yRYcOGFffV1tamsrKyXn/73ve+l0KhsEZ/u+aaa3L22WenoqIivXv3zm9+85vstNNOSd7pj4MGDcrvf//71NXVZeXKlenWrdtHPp8nnnhitttuu8ycOTOzZs3KBRdckBYtWqwx7rjjjst5552Xdu3a5XOf+1zmz5+f4447bo1xb775ZgYMGJAFCxbkmmuuyS9/+cvcfffduf/+++u93rnvvvvy2muvJUkuuuiiTJo0aY3g69rO5+qaf/Ob3+Ttt9/OwoULs91222XJkiX1xjRr1iw/+MEPMnfu3OJzPGrUqLzwwgvp2rVrknd+zlx11VWZNm1ahg4dmoMPPjj/+q//mrvuuisrVqzIxIkTc+yxx+bQQw/NX/7ylzVer+25555JkssvvzwVFRXZeuut8/LLL2fKlCn16j/55JOz9dZbF/9wv2jRomy11VZp2bJlDj/88IwfPz6DBg36oKeq6C9/+UuSd8KxZ5xxRvbZZ59UV1fn4IMPznPPPbfW+zz88MO5+eabc+aZZxb3rb4232317XW9Dn3sscfW+pxstdVWSZKddtrpI8+pa9euGTJkSPH10trmtL7zWR2gWNd8rrjiiuJ1+O45LVq0KHvvvXeSd17rlfJz9N4xV1xxRZYvX55Vq1blH//4R3F/Qz5HG3tOzz33XC644IL84he/SHl5eR566KGsWrVqo153Z5xxRu666673ve4awnbbbZeKior06dMnZ599dr2PeEuSj33sY0myQW8m2BSEWwA2gvf+YlsoFN73l10AYPOhzwPQlDVmn1uyZEm+//3v5/LLL88pp5yST3ziEznggAPyhS98IVOmTEmzZs3y05/+NL169couu+yS6667Li+++GLuv//+jVJPixYtcumll2bvvfdO9+7dc+KJJ2b48OFrhATatm2bn/70p9ltt93Ss2fP9Xrsww47LGeeeWZ69OiRb3zjG1myZEn23nvvHHvssdl5553zta99LU8//XT+9re/JXnnXd8HH3xwLr744uy8884ZPnx4zjnnnHzve99Lkjz77LO5884789Of/jT77bdfevfunYkTJ2bZsmXFr3nfffdlzpw5+eUvf5k+ffqkR48e+c///M9svfXW+dWvflUct2rVqlx77bXZddddc8QRR+Sggw7KM888k3HjxuWTn/xkTj311Hzyk59c53lftWpVLr744rRv3z4jR47M/PnzM3Xq1Bx88MFrHb/99ttnzpw5Wb58ed5+++0k77xTdPXKLUnyyU9+MhdffHFGjBiRP/7xj7n33ntzxBFHrNe5TpKWLVvmjTfeWOux6667rvjHq6aorKwse+yxRx577LH3HfdB56Gpn6fVfvrTn6Zv3771vpc39Jpebf78+Wnbtm3x9tZbb53Kyso1rt3tt98+r776asNOhE3iBz/4QR555JHcfvvtmTVrVq644oqcddZZufvuu9/3ftXV1cU/Fo4YMSK77rprmjVrlgEDBuRb3/pWVq1alb322iuXXXZZccWuL37xi7nxxhuLf0A97bTTMmTIkHz84x/Pvvvumx/84Ae58847s3Tp0tx4442pqanJTTfdlC5dutT72mVlZfX627bbbpvy8vI1+tu3v/3t7Lbbblm6dGluu+227L333hkxYkSS5O67787LL79cXEXkqKOOysKFCz/y+XzxxRczcODAfOpTn0qPHj1y7LHHZvfdd19jXOvWrbPVVlulUChkm222SVVVVVq3br3GuO9973t57bXXctFFF+WLX/xiBgwYkAkTJmT+/Pl56623iuO22WabfPvb307yzmo8hx9+eO65557i8XWdz2effTZ33313brrppjz66KMZM2ZMFixYUK/3Ju88xwcddFC6d+9efI5vvvnmLFu2LK1atUryTp8aMWJEBg0alAkTJqR79+757//+77z66qu55JJLcsopp+T888/PAQcckFdeeWWN12arXy8cdthhmTlzZmbMmJGWLVvm3/7t33LDDTfUq79169Z58803kyTt2rXL7NmzM3PmzHznO9/JyJEjN+h11apVq5K8s8LVqaeempYtW6Zfv3755Cc/mWuvvXaN8U8++WSOOuqofOMb31jjD/9rew26tv3JO6tcPPLII2u9xlffHjdu3Eee07bbbpuPfexjueqqq9Y6pw2Zz/vtv/HGG3PxxRdn5cqV+eUvf1lvTu3atcvMmTOTJKecckrJP0er/736++bSSy9dY0xDPkcbc04rV67MCSeckEsvvTQ777xzbrzxxsyYMSM77LDDRr3uTj311Oy5557rvO4ayu9+97s8+uij+eEPf5hx48blxhtvrHd89c/V1T8vSsUHr90IwHrr3Llzmjdvvkb6dsGCBWskQAGAzYs+D0BTVgp97umnn05dXd1a/2A8a9as/PnPf067du3q7X/rrbfy/PPPb7SafvjDH+anP/1p/vrXv2bZsmVZvnx59thjj3pjevXqlZYtW27Q4376058u/nv1+e3Vq9ca+xYsWJCqqqo8/fTTOeqoo+o9xv77759x48Zl5cqVefrpp1NeXp4+ffoUj3/qU5+q93EPs2bNytKlS9OpU6d6j7Ns2bJ653DHHXesd54rKyvTvHnzNGvWrN6+d68K827XX399/vCHP+T555/PIYcckr322iudO3fOXXfdtdbx559/fo477rh06tQpM2bMyF577ZXy8vJ6f3hMklGjRuXmm2/O/vvvn8suuyz7779/kndWJ7nsssvW+fEw76dQKOTaa6/NF77whXr3//d///c1nufN2eqPuliXdZ2H9T3eVLzxxhuZMmVKJkyYUG//hl7Tq703HLh8+fL8/e9/z3777VdvXIsWLYrX+/bbb59vfvObDTQjNqZly5bl61//eqZOnZrDDz88yTs/22fPnp3//M//XOfqUlVVVXnrrbeK18Z9992Xb37zm3n77bfTrl27YsivR48e9e63yy675JZbbinefvzxx1NTU5PZs2fnn//8Z/EPoz/60Y9y8cUX55e//GUGDhy4xtde3edX97f//d//zfLly/OTn/yk+HNvwYIFefXVV7N8+fL88Y9/zHbbbVfvcZ5++ulsv/32+Zd/+Zckyb777puPf/zjG3wO32vkyJH5whe+kJ///OcZOHBgjj322HziE59Y5/jy8vJ1hmqeeuqpXH755enWrVu976nVvWP1KglJsttuuxVXzKisrEzXrl2Lq33ddNNNOf3009d6Plf33s9+9rNp3rx59thjjzz99NO5/vrr64277777MmbMmDz11FNZvHhx3n777bz11lvZeuuti0GYd/fYJMXQy+LFi/Pd73433/3ud5MkdXV1+djHPrbG67Wrr746SfKtb30r3bt3T/LOR1d169YtDz74YG655ZZi/f/85z+z7bbbFr/u6hV5Vtc/duzY9O/ff63n9b1Wrzyz6667Jnnn9eTChQuzyy675MUXX6w39qmnnsqAAQNyxhln5KKLLqp37N3X5mqrX2e893XoTTfdlGeeeSZDhw5d4zlJUvworH333Td9+vT5SHP661//WrzG3junDZ1PXV3dOuezetWlW2+9dY05NWvWrPgROGeeeWYKhULJPkerx7z7+2b58uUpLy+v9/qzIZ+jjTmnJUuW5NFHH83jjz+es846qxh8+ctf/pLy8vJMmzYtAwYM2ChzWm1tc2ooq39W9OrVK3/7299SU1OTz33uc8Xjq1d2XP3zolRYuQWgAbVs2TK9e/fO9OnT6+2fPn168fNJAYDNkz4PQFNWCn1ube+6Xm3VqlXp3bt3Zs+eXW979tlnc8IJJ6zX45eVlRX/U3q1FStWrHP8zTffnK9+9as57bTTMm3atMyePTunnnrqGh+D9O6VGdbXuz9mYfUfONe2b/UfK9e2gs675/J+725ebdWqVenatesa5/CZZ57Jf/zHf6y1ttWPubZ9q2t7r2nTpmXIkCFp06ZNJk6cmNdffz0XXHBBcWnz99ptt90yd+7cLFmyJHvttVeSd4I47w4Ara5r4sSJKRQK9f7o26tXr4waNepDrTB033335YUXXsjpp59eb/+4cePSuXPnDX68UlQoFDJ79uziR1aszbrOw/oebypuuummNG/ePMcee2y9/Rt6Ta/L008/nRUrVhSv87UZMGBATjvttA9VP5vWihUrsmLFijVCCc2bN1/nz8ck2W+//fL888+ne/fu+etf/5rDDjssdXV1OeiggzJr1qz813/9V5J3VgV5t2effTY77LBDkneCWIMHD85WW22VyZMnZ+bMmZk6dWqS5Otf/3puuOGGYuDmvV97+vTp9frb7rvvnsMOO6zY3wqFQvEPwFdeeWXxj5/v9t5eujarz8u7x75fz03e+TiOJ598Mocffnjuvffe7LrrrsV5rU3r1q3z1FNPrbH/xRdfzEEHHZRddtllneGYJ554otjPW7RokWnTpqW6ujo77rhjscfdeOONGT58+DrP59p6b6FQqDfn1c9xz549c8stt9R7jnv27JkXX3wxW2+9db1r5sknnyyGa+bMmVOvZz/99NP58pe/nAceeKDe65H//d//TYsWLbLjjjsW991+++3F87q6/ueffz5vvfXWOntCoVAohjDWx4477pjq6uo888wzSd75eKSnnnqq3vW6ek4HHXRQTjnllHznO99Z43H222+/Neb07udktdXPyS677LLWazNJ5s6dmxYtWmS33Xb7yHNaPZ+k/vfgh5nP3//+97XO5+STT06hUMhNN9201uvsvXMq5edov/32y69+9at63zfTpk1Lnz59/h97dx6nU/n/cfx9mxn37MNgtowZ69hJSkMZ+xJSKEsxhPiSSFIIQ2VQZAstMmQvKV9lDYOQsUtCZUszlDBjG8xcvz/6zv1zm8UQ5mZez8fjPL6d61znOp/r3PN1nXPuz30du2vJ2/kZ3ck+eXt7a8+ePRoxYoTy5s2rcePG6T//+Y/CwsK0c+dOVatW7Y71Kc31fbpTMor3+j45CmZuAYDbrG/fvmrfvr2qVq2q8PBwffTRRzp69Ki6d++e06EB95Rz587pl19+sa0fOnRIO3fulK+vr4oUKZKDkQHIzRjngX+PMR5wXDk9zpUsWVJubm767rvv0r3zvUqVKrap5729vW+p/UKFCik+Pt62fvDgwSyn2V6/fr2qV6+uHj162Mru5CwxWSlbtqw2bNhgV7Zx40aVKlVKTk5OKlOmjK5evaqtW7fqkUcekSTt37/f9itS6Z9zmJCQIGdnZ7svVm63P//80/ZlYqlSpRQVFaXevXurfv366aZwv95ff/2lefPmae7cuVqzZk267VWrVlWfPn3UrVs3PfbYY8qfP/+/ivWTTz5RkyZNbjpJ4V5x+vRpvffee7p69aqeffZZffnllxnWu9F5uN/PU5pPPvlEHTp0SJdo92/+pq+1a9cuBQQEMOvjPeRG160RERF67bXX5ObmppCQEMXGxmrmzJkaO3asfvjhB0lShw4d9MADDyg6OlrSP6+9WbBggdzc3PT111/r8uXL+v333zV//nyVKlXK9mqguLg4jRgxQq6urkpOTtZHH32kjz76SNI/iQx//fWXLl26ZJs9ZeLEiZL+GcsfffRR22wEbm5u8vHxkfTPrFQ1a9bUmTNnVLlyZSUlJWnLli3asGGDBg0aJEnq2bOnFixYoICAAG3bts32Cg8fHx+5ubnp/Pnz2rx5s44ePaotW7bI2dlZkydP1u+//2537tJ+6R8fH2/7t3rnzp03POelSpVSqVKl9Morr6ht27aaPn26nn766XT18ubNKw8PD+3du1enT5+2Gw8GDx6sZs2aqXLlynr77bf122+/ycvLS4UKFdL3338vi8UiNzc3dezYUefPn1d8fLxGjBihIUOG2BJVTp48qQ4dOmj8+PGZns9169bp6tWr+vrrr1WmTBl9++23mjlzplJSUmyxbN26VVevXtWYMWNsCT9pn3GdOnU0fPhwPf300/r888/1xRdfyMPDQ61atbLtv2/fPj366KNycnKyndPu3bvr/fffV8eOHTVw4EAdPHhQO3bs0JUrV/TWW2+pbdu2+vzzz/Xmm2/K19dXrVu3tsW/fPlyFStWTMWLF1d0dLSqVq2q4sWL6/Lly7b4p0yZcsPPKY3FYtFrr72moUOHqlKlSipTpoz27NkjFxcX2ysP0xIMGjRooL59+9piubZP7dq10+DBg9W8eXNdvHhRf/31l7777jt17drV7jU3HTp00GuvvaZvvvlGR48e1apVq+Tl5WVLMoiOjtZPP/2kqlWr6siRI/+6T0OGDNHevXvVr18//fzzz/riiy+y3Z9hw4bp6aefVqdOnbR3717t379fL7/8snbt2qXKlSvbJba8/fbbKlasmHbv3i1XV1f5+/vLx8fH9hktWbJEVapU0ZQpUxz6MwoKCtIff/yhOnXqyNfXV++//74++eQTTZs2zRbP7f6M7mSfLBaL9uzZo0GDBmn8+PFq0aKF3nvvPTk5OSk4ONiW4H4n+lS5cmXNmDHD9nd3M3766SddvnxZf//9t5KSkmz/9qbNzvXBBx+oSJEiKl26tCRpw4YNeu+999SrVy+7dtavX6/HH388yx8g5AgDALjtPvjgAxMSEmLy5s1rqlSpYmJjY3M6JOCes2bNGiMp3RIZGZnToQHI5RjngX+HMR5wbDk9zkVFRZn8+fObGTNmmF9++cVs2rTJfPLJJ+b8+fOmZMmSplatWmbdunXmt99+M2vXrjUvv/yyOXbsmDHGmMjISNO8eXNbWxEREaZ379629TZt2pgyZcqYbdu2mbi4OFOnTh3j4uJipk+fbowx5tChQ0aS2bFjhzHGmHHjxhlvb2+zbNkys3//fvPmm28ab29vU6lSJVub1x8zO0JCQsz7779vVybJLFq0yLZ+fSzbtm0zefLkMcOHDzf79+83MTExxs3NzRa7McY0atTIVKxY0WzevNls3brVPPbYY8bNzc12rNTUVPPYY4+ZSpUqmWXLlplDhw6Z77//3gwaNMjExcUZY4wZOnSoXf8y6+P15/b6bYMGDbKtX7161VStWtW0atXKdowaNWrYttevX99YrVbj4uJirFarefTRR82qVats2xs3bmysVqttyZs3r5Fk+vbtm+n5/fjjj40xxlSvXt1YrVbj7OxsHnjgAbt6f//9t3F1dTVLlizJsJ171YIFC2znqmDBgubJJ580+/fvN8YYM3369Js+D/frebre3r17jSTz448/ptt2o7/pzEgyK1eutK337dvXNGrUyBhjzOLFi22fk8VisWs/qzZwd93oujU+Pt507NjRBAUFGVdXVxMWFmbGjBljUlNTTWRkpGnUqJEJDw83rVq1Mtu2bTPvvPOO8fT0NA899JApVaqUcXZ2NpJMp06dzK+//mpmzpxpHnjgASPJzJ0715QvX964uLgYSeaVV14xf/75pzl//rw5efKkyZMnjylcuLD59ddfzddff23c3NyydY39+eefGz8/PyPJFC5c2EycONFufMuoDUlm6NChZsKECebixYvmqaeeMs7OzsZisZiCBQuaGjVqmNKlS9uNZZcvXzbBwcHmmWeeMfv37zdLliwxYWFhRpI5dOiQMeaff5N8fHyMMcZcuHDB9OzZ06xZs8YcPnzYbNiwwRQvXtz0798/XV1jjJk9e7bx8PAwFSpUMO+99565dOm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\n",
      "text/plain": [
       "<Figure size 2500x6500 with 24 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#dispalying some more plots that can help us  \n",
    "num_of_plots = 22\n",
    "num_of_cols = 4\n",
    "num_of_rows = (num_of_plots // num_of_cols) + (num_of_plots % num_of_cols > 0)\n",
    "figure, arr = plt.subplots(num_of_rows, num_of_cols, figsize=(25, 65))\n",
    "arr = arr.flatten()\n",
    "for i, col in enumerate(categor_cols):\n",
    "    sns.countplot(x=df[col], ax=arr[i])\n",
    "    arr[i].set_title(col)\n",
    "plt.subplots_adjust(top=0.90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 365,
   "id": "bb360d08",
   "metadata": {},
   "outputs": [],
   "source": [
    "#let's remove optical_drive and cellular_modem since the data is the same for all computer, we can see it as one color in out plot\n",
    "df=df.drop(['optical_drive','cellular_modem'],axis=1)\n",
    "categor_cols.remove('optical_drive')\n",
    "categor_cols.remove('cellular_modem')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 366,
   "id": "70e98568",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def heatmap_func(numeric_dataframe):\n",
    "    first_col = numeric_dataframe.pop('average_price')\n",
    "    numeric_dataframe.insert(0, 'average_price', first_col)\n",
    "    sns.heatmap(numeric_dataframe.corr())\n",
    "\n",
    "    \n",
    "numerical_data=df[numeric_cols]\n",
    "computersHeatmap = numerical_data.select_dtypes(include='number')\n",
    "heatmap_func(computersHeatmap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 367,
   "id": "843099eb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  manufacturer  average_price\n",
      "0        Apple    9010.710084\n",
      "1         Asus    4675.500000\n",
      "2         Dell    4617.586826\n",
      "4       Lenovo    4589.649533\n",
      "3           HP    3954.666667\n"
     ]
    },
    {
     "data": {
      "image/png": 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UaNunTx9Mnz4dhw8fxuHDhzF9+vQMGe7cuYNPPvkk216JzCQlJUGhUGjkiImJwaFDhzTaNWzYENu2bcPz58/VF8tPnz7FnTt38NlnnxVKlsLUunVrLFy4EIGBgbC3t8/werNmzWBgYICgoKAMw8Rykj5kKCeZFRUmJiZwdXUFkDaHxNHREa1btwaQNsnYw8MDu3fv1vhZ9fPzg62tbYalQHPSvn17TJ8+HX/++ae6wHj16hXOnTuHFStW5OoY6RPaP+yRykyzZs2wb98+BAUFZShoiYiIqHhpRUFw6NAhxMbGYsSIEZk+iKxhw4bw8fHRKAiePn2KAQMGoHfv3rh27RrmzZuHn3/+OcPQiW3btkFfXx/16tXDzp078e+//2a7RGO/fv2wdu1auLm5YfTo0XBxcUFkZCSuX7+O5ORk9Z3V9Ce2pj9NuUmTJjAyMsLQoUMxfvx4BAcHw9vbW6N3Il21atXwySefYNiwYYiPj0evXr00Xp82bRoaNmyIdu3aYdCgQbC2tkZoaCj+/vtvfPbZZ9lezJmYmKBhw4aYO3cuLC0tIZVKMXfuXJiYmGj0qgwYMACzZs1Cx44dMX36dKhUKkydOhU2NjYaY+ALkqUwjRo1Ctu2bUOLFi0wZcoUODs749mzZ3j06BHmzZsHExMTTJ8+HWPHjkVQUBDc3d0hFovx7NkzHDx4EPv27YOBgUGmx5bL5Tn2Ynzs8uXL+Pvvv1G3bl0kJCTg0KFD2L59O44fP65ROHl5eaFFixb44Ycf8PXXX+P8+fNYv3491q5dq/E+X7lyBS9evMC7d+8A/H+CsqWlJVq2bAkAaNy4MTp06IDvvvsOixYtUj+YzNHREZ6enupjbdu2DQMHDsSpU6fU+6bz9fXFp59+mmlR9SFPT0/Mnz8fbm5u+OWXX9Ttb968maf3iYiIiAqBKhsJCQmqe/fuqRISErJrVuJ17NhRZW9vr1IqlZm+vnLlShUA1cOHD1XPnz9XAVBt3rxZ5enpqZLL5SpTU1PVyJEjVcnJyep9Nm/erAKgunDhgqply5YqPT09lb29vWrdunUax546darK0NBQY1tUVJRq1KhRKnt7e5VMJlPZ2tqq2rdvrzpy5EiGTPfu3VNvO378uKpmzZoqPT09laurq+rYsWOqli1bqjp06JDha5o/f74KgKply5aZfs2PHj1S9ezZU2VhYaHS1dVVOTo6qvr166e6c+eOug0A1YIFCzLs+/jxY5W7u7vKwMBAVbFiRdWCBQsy/Trv3Lmjat68uUpHR0fl5OSk2rx5s+qzzz5TffXVV3nOkpms8qVL/17u2bMnw2uenp6qmjVramwLDAxUff311ypzc3OVnp6eqlq1aqrly5drtPHz81M1bNhQpa+vrzI2NlZ98sknqilTpqhSUlKyzZpX169fVzVu3FhlZGSkMjIyUrVq1Up14cKFTNsePXpUVadOHZWOjo7K2dlZtXLlygxtPD09VQAyfHz88xEVFaX64YcfVGZmZipDQ0PVl19+qXrx4oVGm/Sf/TNnzmhsv3v3rgqAavXq1Znm/Pg9f/z4sapz584qY2PjDLkKQ1n5+0VERFTURCrVB4uffyQxMVE95CN9Sciy7sWLF3BycsKePXvQvXv3LNul38F/9+5dlvMFCuLbb79FeHh4hgenlWbh4eFwdnbGL7/8gqlTpwodh8o4bfz7RURElB9aMWSoNDp//rz6QWCl1bx582BtbQ1HR0eEhIRg4cKFUCqVGDhwoNDRiIiIiOg/LAhKqGfPngkdocAkEglmzZqFoKAgSKVSNG7cGKdPn850lR4iIiIiEgaHDBFRmcS/X0Qlm0qlQmh0IoIjEvA+LhlRCSmISkhB9H//VX+emKr+/4RkBRRKFRQqFZT//XdKOWskPomGSCSCSCyCSARIdMTQ1ZdCR18KHb3//qsvga76/6XQM5LByEwXRmZ6kFvoQaYj3Ep3REJjDwEREREVibikVAS+j0fg+3i8+u+/6R9BEQlITlXmfJCcqFRQqdIKDCjT7nGmpiiRFJeap8PoGkohN9dLKxDM9WBkpgvjcvowtzWEqbU+xBJxzgchKqVYEBAREVGBqFQqvAyPx+3gKNwJjsLt4Cg8ehODsNhkoaPlWlJcKpLiYhH2KjbDaxKpGKY2BrAobwgLOyNYlDeCRXlDGJmx95HKBhYERERElCcvw+NwK+j/F/93gqMQnZi3O/KliSJVifCgWIQHxQJ4o96uayCFRXkj2DibwLayCWwrmUDXQCZcUKJ8YkFARERE2bofEo1zj8Nw7kkYrgdGlOmL/7xIik/F68eReP04EvgTEIkAcztD2FYyhW0VE9hVNmUvApUKLAiIiIhIw9voRPz7XwFw7kkY3sUkCR2pVFCpgPDgOIQHx+HOP8EAACNzXZSvYgb7WuZwqGnBHgQqkVgQEBERabmEZAX8n4fj30dhOPfkHR69yTiOnvIn9n0SHl4KxcNLoRCLRbCpZALH2uXg6GoBMxtDoeMRAQC0csp8vXr1IBKJcPbsWaGjUDbc3NzSlpETiSAWi2Fvb4+vv/4aL1++zHHfLVu2QCQSISwsrBiSFlznzp0hEomwcOHCTF/fuHEj6tSpAz09PVhZWaFTp04ar6e/T5l9hISEqNs5Ojpm2iYxMTHbfGfPns10v969e6vbpL/n6R8SiQQODg6YOHEiUlJSAKQ9CZy/e0QlQ2KKAsdvh2CIz1V8MuMEBmwOwKbzz1kMFCGlUoXXjyNxYf8T+Hpfwo4pF/Hv7kd4df89FIpCWHGJKJ/y30PgbVKIMfJy3qgC7f7gwQNcv34dAODj4wM3N7dCCEVF5dNPP8XChQuhUChw+/ZtTJ48Gf7+/rh9+zYMDAyy3K9Dhw64ePEiTE1Niy9sPh0/fhyXLl3K8nVvb28sWbIEkyZNQuPGjfH+/Xv88ccfGm0uXryYYb9+/frB0NAQtra2Gtu7d++OX3/9VWObrq5urrJu3rwZ1apVU39erly5DG3++OMPmJiYIDk5Gf7+/vDy8sL79++xZs2aXJ2DiIpOcqoS/zx6hyO3XuOv+28Rm8S5AEKKepeAW6eDcOt0EHQNpKhUzwpVG9vAtrIJRCKR0PFIi2jdkCEfHx9IJBK4ublh7969WLVqFXR0dISOVSIoFAoolUrIZCVnfKOpqSmaNGkCIK04MDQ0RL9+/XDs2DF07949Q/vk5GRIpVJYWlrC0tKyuOPmWVJSEkaMGIE5c+Zg4MCBGV6/f/8+Zs6ciWPHjqFt27bq7V26dNFol/4epXvx4gUeP36M+fPnZzimtbV1hva5VatWLTRo0CDbNvXr11cXCi1atIBYLMaECRMwY8aMfJ2TiAomVaHEhafhOHzzNf68G8oJwSVUUnwq7p17jXvnXkNuoQeXRtao2tiGw4qoWGjdkCFfX194eHjgl19+QWRkJI4dO5ahzdy5c1G5cmX18IzWrVvj+fPnAP4/dOLKlSsa+3Ts2FGjtyEoKAg9e/aEtbU19PT04OTkhFGjRmWb7eLFi+jUqRPs7OxgaGiIunXrYvv27erX4+LiYGRkhEWLFmXYt1u3bmjUqJH688jISAwZMgS2trbQ1dVF/fr1ceLECY193Nzc0LFjR2zduhVVq1aFrq4ubty4gZCQEAwcOBDOzs7Q19dHlSpVMHHiRCQlaU4qi4qKwjfffAO5XA5LS0uMHTsWc+fOzXBXIzdZcqt+/foAoP5+ODo6YtiwYViwYAEcHBygr6+P8PDwTIcMJSUlYfLkyXB2doauri4qVKiAAQMGaBz/4sWL8PDwgKGhIUxMTNC3b1+8ffs2X1lzY+HChTA1NUX//v0zfX3Lli1wdnbWKAZyw9fXFyKRCH369CmElAXTrl07pKamZvidIaKi9fhNDLwP3UXj2afQb9Nl7LkaxGKglIgJT8TV4y/h630Je+YE4ObpV4iPLj3PdKDSR6t6CPz9/fHs2TNMnjwZbdu2Rbly5eDj44OvvvpK3Wbbtm2YMmUKpk+fjqZNmyIqKgr//vsvoqOj83Sufv364fXr11i+fDmsra0RGBiY4wXRy5cv8emnn2Lw4MHQ09PD+fPn8d1330GlUqmHf3Tq1Al+fn4aQz5iYmJw7NgxzJ49G0DaXfI2bdrgzZs3mDVrFsqXL48dO3agQ4cOuHbtGmrXrq3e98qVKwgMDMSMGTNgamqKihUr4t27dzA3N8fixYthZmaGR48ewdvbG6Ghodi0aZN63wEDBuD06dOYP38+HBwcsHbtWly7dk3ja8pLltxILwTs7OzU2/bt2wcXFxcsW7YMEokky6FE3bp1w+nTpzFx4kQ0adIE7969w759+9SvX7x4EW5ubmjfvj127dqFuLg4TJ48GZ06dYK/v3+2uVJTc/5HViwWQyz+fw0eGBiIOXPm4OTJk1l2Dfv7+6N27dqYMWMGVqxYgcjISDRt2hTLli1D3bp1szyXn58fWrRogQoVKmR4zcfHB+vXr4dMJkOLFi0wb968XH8f2rdvj/DwcNja2qJPnz6YPn069PX1M7Q7cuQI/vrrLyxduhRWVlYAgPDw8Fydg4jyL1WhxIl7b7Dt4gv4P3svdBwqBG9fxuDtyxhc2PsEjq7lUNu9AipUNRM6FpUxWlUQ+Pj4QFdXF127doVUKkXPnj2xadMmREdHw9jYGABw+fJluLq6YsKECer9OnfunOdzXb58GXPmzEGvXr3U2/r165ftPh9O0FSpVGjRogWCgoKwZs0a9b59+vRBp06d8PjxY1SpUgUAcODAASQnJ6vP5ePjgxs3buDmzZuoUaMGgLS7tI8ePcKMGTOwe/du9XkiIiJw5coVjQtHGxsbjcmt6UN1PD09sXLlShgYGODevXs4cOAAtm3bhm+//VZ9DhcXF42vKS9ZMqNSqZCamgqlUonbt29j7NixMDU1RevWrdVtUlNTcfz48WznFJw8eRJHjx6Fr6+vxl3zD/9//PjxaNCgAfbv36++QK9VqxZq166NY8eOoX379lkePzfDrDw9PbFlyxb156NGjULXrl3RtGnTLPcJDQ3FtWvXcPfuXaxZswY6OjqYNm0a2rRpg8ePH2c6R+LWrVu4c+cO1q5dm+G1Tp06oXHjxrC3t8ezZ88wa9YsNG/eHNevX4ezs3OWOUxMTDB27Fi0aNEC+vr6OH36NBYuXIj79+/jyJEjGdpfuXIFGzZswNKlSyGRSADkrmgiovx5G50I38uB2Hn5FUKjs18kgEonpVKFZzfe4dmNd7Aob4jabhVQtbENpDoSoaNRGaA1BYFCocDu3bvRoUMHmJikTYj++uuvsXr1auzfv189ZKNevXpYvXo1fvnlF3Tt2hWNGzfO15j6evXqYeHChZBKpWjTpg0qV66c4z4RERGYOnUqDh48iODgYCgUCgCAhYWFus3nn38Oc3Nz7Ny5E1OmTAEA7Ny5Ey1btlTfNT9x4gRq164NFxcXjYuwVq1awc/PT+Ocrq6uGe4iq1QqLFu2DOvWrcPz5881VqB59uwZatWqhYCAAADQWO1GIpGgY8eOWL58uXpbXrJk5tixYxrvv4uLC/bv3w9ra2v1Njc3t2yLAQA4deoUDAwMNIquD8XHx+P8+fPqCczpqlatCltbWwQEBGRbEKS/H9n5cALuiRMncOLECTx8+DDbfZRKJWJjY7Fv3z7UrFkTQNqwKScnJ6xbtw5jx47NsI+Pjw9kMlmmcyw+/N589tlnaNu2LapVq4aFCxdi9erVWeb45JNP8Mknn6g/9/DwgK2tLYYNG4bLly9rDFcjouLj/ywc2/1f4sTdUKQoVELHoWISHhyHsz4PcfH3p6jRzA613MrD2CJjby1RbmlNQXDy5Em8ffsWX375JSIjIwEANWrUQIUKFeDj46MuCPr374+YmBisW7cOS5YsgYmJCTw9PTF37txMh0ZkZdeuXZg0aRImTZqEIUOGoGrVqpg9eza6du2a5T79+/fHhQsX4OXlhZo1a8LY2Bi//fYbdu3apW4jk8nQrVs3+Pn5YcqUKQgPD8fJkyc1LubCwsJw/fr1TAuZ9Lu16dKHc3xo6dKlGD16NMaOHQt3d3eYmZkhICAAQ4cOVRcHISEhkMlk6uIqq+PlJUtmmjdvjiVLlkAikaB8+fKZ5s1s28fSh7lkNTQnIiICCoUCo0aNynSux6tXr7I9fnbDd9J9OFxoxIgRGDFiBAwMDNQ/jwCQmJiIyMhI9Z1/c3NzWFtbq4sBALC1tUW1atVw9+7dDOdQqVTYuXMnvvjiC5ibm+eYydbWFs2bN8fVq1dzbPuxnj17YtiwYbh69WqGgkAqlaoLKwMDA0yaNAl16tTJ8zmIKKNUhRIHrgdjw7/P8fBNjNBxSEBJcam4fjIQN069gmNtC9RpVRHlXTiciPJOawoCHx8fAGnj3j+eSPr69WuEhobCxsYGYrEYI0eOxMiRIxEcHIydO3di/PjxKFeuHKZMmQI9vbRHkCcna07uef/+vcZqRba2tti0aRM2bNiAq1evYubMmejVqxcePnyY6dCMxMREHD16FIsWLcLw4cPV25XKjOsS9+nTB+vXr8etW7dw8eJFiEQidOvWTf26ubk5XF1dsXHjxhzfl8wukPfs2YNOnTphzpw56m337t3TaGNra4uUlBRERUVpFAUfT8DNS5bMmJiY5LiqTW6WZrOwsEBISAhUKlWm7U1NTSESiTBx4kSNOSXpMlte80N5HTL08OFDzJ49Wz3vI92UKVMwZcoUJCQkQE9PD9WrV8/0uQsqlUqjwEh37tw5BAYGZrq6UFZUqsK/q2hhYYHExET1z8fMmTMBpK1+RET5k6pQYv+1YKw88wSB7+OFjkMliEqpwvObYXh+Mww2ziZo0N4RDrUsct6R6D9aURDEx8fj999/x1dffYWRI0dqvPbu3Tv07NkTO3fuxM8//6zxWvny5fHrr7/C19cX9+/fBwD18Jr79++jWbNmANIugm/dupXphatYLEbDhg0xc+ZMHDp0CE+ePMm0IEhKSoJCodAoKmJiYnDo0KEMbdOHB/n5+eHixYvqYUTpWrdujWPHjsHOzk5j8m1uJSQkZFiKNb2gStewYUMAwMGDB9XzGxQKBQ4fPqzRrqBZCkvr1q0xb9487N69W2NeRzpDQ0M0bdpUvcxnXuV1yNCZM2cyvO7u7o7BgwejV69e6vc/fRWoO3fuoFatWgCA4OBgPHjwIENhC6StLmRkZIQvv/wyV7lfv36N8+fPq+eB5MXOnTsB/P9n4UPpvxvHjh0rESsdEZVmKQol9l0NwqqzT/DqfYLQcaiEC30WhSMrb8LKQY76XzjCuW7JX4KbhKcVBcGhQ4cQGxuLESNGZPogsoYNG8LHxwc///wzfvzxR5iZmaFJkyYwMzPD+fPncfPmTQwZMgRAWkHQuHFjTJs2DSYmJpBIJJg7d67GXfKoqCi0a9cO3377LapWrYqUlBQsX74cpqamqFevHoC0O6VOTk6YOnUqvL29YWJigoYNG2Lu3LmwtLSEVCpVH/fju+5isRi9evXCli1b8PbtW+zYsUPj9X79+mHt2rVwc3PD6NGj4eLigsjISFy/fh3Jyckad/4z06ZNGyxbtgwrV66Ei4sLfHx88OTJE402NWrUQJcuXTBixAjEx8fDwcEBa9asQUpKisYd+IJmKSytW7dG+/btMXDgQDx9+lT9gK99+/apL2wXLFgADw8P9OrVC71794aZmRmCgoJw8uRJDBgwINuH2OXUi/GxrI5VqVIljde6dOmCevXqoWvXrpg5cyZ0dHQwffp0WFpa4ocfftDYNzU1FXv37sVXX32V6ZwKPz8/HD16FF988QXs7Ozw7NkzzJkzBxKJRGPVqpcvX6JSpUrw8vKCl5cXAOCbb75B5cqVUa9ePejp6eH06dNYsmQJOnfunOnXXqdOHbRv3x4//PADnj59itq1a0MikRTpEq5EZU2KQom9V4Ow6swTBEWwEKC8efsyBsfX3IalvRyNOjrB0TX7nm7SbgV4UnHBnhhcnHx8fGBvb5/lRZinpyeGDRuGR48eoVmzZli/fj3Wr1+P+Ph4ODs7Y8mSJfjuu+80jvfDDz+gf//+sLW1xcyZM7F9+3bExqY97l1PTw+1a9fGihUrEBgYCH19fTRo0AAnTpxQ3yWOi4sDkLaiTzpfX18MGjQInp6esLCwwIgRIxAbG6ux4k+6Pn36YMmSJTAwMNCY2AukPXX29OnT8Pb2xqxZsxASEoJy5crhk08+URc22fHy8sK7d+/UF4Pdu3fH8uXLM9x13rRpE4YNG4bRo0dDT08Pnp6eqFGjhsYTaQuapTDt27cP06ZNw9q1a+Ht7Q1ra2uN9f2bNWuGc+fOYerUqRgwYACSk5NRoUIFtGrVKleTwouCRCLB8ePHMWrUKAwaNAgpKSlo2bIl/Pz8YGio+bCaP//8E2FhYejbt2+mx3JyckJQUBB+/vln9TwFDw8PTJ8+HU5OTup2KpVK/ZC6dDVr1oSPjw8WLVqEpKQkODk5YeLEiRqrcX1s165dGD9+PFatWoU3b94UydAkorIoOVWJPVdfYfWZpwiOZCFABfMuMAZHV9+CtZMxGn3pBPsaHEpEGYlU2fwrnZiYiOfPn8PJyUk9dp4Kx8aNGzF+/Hi8fPkyxxVySpPmzZtDJpNlOiSGqDjx7xeVRodvvsa8Px6wRyAPvMpZIeEJJ1fnVsXqZvi0RxVY2BkJHYVKEK0YMlQSnT9/HqNGjSrVxcC+ffsQGBgIV1dXxMXFwdfXF+fPn8eBAweEjkZEVKrceBWJGUfu4erLCKGjUBn36n4Eds0MQK3P7NDoS2foGeV9aXUqe1gQCOTDJ/6WVkZGRti+fTseP36M5ORkVKtWDTt27Mh0lR4iIsooNCoRc4/fx8Gbr8FRdVRcVEoVbv8djEcBb9CwgxNqu5WHWJJx5TrSHiwIKN/atWuHdu3aCR2DiKjUSVEosfHcc6w49RhxyYqcdyAqAknxqTi35zHu/huMT7tX4VKlWowFARERUTH69/E7TD10F8/exQkdhQgAEBEajyMrb8K+pgVa9K4CE8vSO5yZ8ocFARERUTEIi03C1IN3cfR2iNBRiDIVeDccO2dEoHEnZ9TxqAiROOcHf1LZwIKAiIioiB259RpeB+/ifVxyzo2JBJSarMT5vU/w5OpbeHxbHeZ2hjnvRKUeZ5AQEREVkYi4ZAz1vYZhvtdZDFCp8uZ5NHbPDsCVYy+gVChz3oFKNfYQEBERFYE/74Zi0oE7CItNEjoKUb4oUpW4dOgZnl5P6y2wtJcLHYmKCHsIiIiIClFUfAp+3nkdP26/ymKAyoSwV7HYO/cK/A8+hYK9BWUSewiIiIgKyZkHbzF+/y28iWYhQGWLUqnC1eMvEfQgAm2/qwnjcvpCR6JClO+CoPbW2oWZI9due97O137e3t6YNm0aAEAkEkEul8PBwQEtWrTA0KFDUb169Twf8+zZs3B3d0dAQAAaNGgAAHB0dETHjh2xcuXKfOXURo6Ojnj58iUAQCKRwMHBAe3atcP06dNRrly5bPf19vbGwoULERsbWxxRC0SpVKJBgwa4fv069uzZg+7du2u8rlAosHjxYmzYsAEvXryAhYUFOnXqhDVr1qjb7Nq1C7t374a/vz9ev36NBQsWYPTo0RrH2bJlCwYMGJBphnbt2uGPP/7IMevGjRuxfPlyPHz4EMbGxmjSpAkOHToEQPN3CUj7njk5OeGnn37CL7/8AuD/vxvPnz+Ho6Njrt4fotIsMUWBaYfvwe9yoNBRiIpU+twC92+qoVI9K6HjUCHRqh4CfX19nD59GgAQExOD27dvY926dVi/fj02btyIb775RuCE2qt79+749ddfkZKSAn9/f3h7e+PmzZv4999/IRZnPbLt+++/R4cOHYoxaf6tXbsWr1+/zvL17777DidOnMCUKVNQo0YNhIaG4sqVKxpt9u7di2fPnuHLL7/E2rVrMz1Ohw4dcPHiRY1tjx8/Rr9+/fDFF1/kmNPb2xtLlizBpEmT0LhxY7x//z5DEfHh71JCQgJOnjyJMWPGIDk5GePHj8/xHERlyav38fjJ5yruBEcLHYWoWCTFp+KPdXdQq0V5NO9RBRIZR6CXdlpVEIjFYjRp0kT9eZs2bTBkyBB06NAB3333HZo1awZnZ2cBExaP5ORkSKXSbC+0i5u1tbX6e/PZZ58hMTERXl5euHbtmrr35UMJCQnQ19dHhQoVUKFCheKOm2dhYWGYPHkyFixYgO+++y7D6ydOnICPjw9u3ryJGjVqqLf36tVLo92uXbvU37esCgJLS0tYWlpqbPvjjz8gkUgyHO9j9+/fx8yZM3Hs2DG0bdtWvb1Lly4a7T7+XXJ3d0d0dHSmPRZEZdnpB28watdNRCWkCB2FqNjd+ScYIc+i0O77mjCz4fKkpVnJuSIUiJ6eHlasWIHk5GRs2LBB47UtW7bA1dUVenp6KF++PCZNmoTU1NQCn/Po0aNo06YNrKysYGxsjMaNG2vcgX3x4gVEIhH27duXYd/69eujZ8+e6s+DgoLwzTffoFy5ctDX10eLFi1w9epVjX0cHR0xbNgwLFiwAA4ODtDX10d4eDgePHiA3r17o2LFijAwMECNGjWwaNEiKJWaE4aCgoLQsWNH6Ovro3z58liwYAGGDRuWYShIbrLkVv369QEAz58/B5A2zGvu3LkYN24cbGxs1Be83t7eMDIy0tg3MjISw4cPR4UKFaCrqwsnJydMmDBBo83Ro0fRuHFj6Ovrw9LSEj/99BPi4oruqaETJkyAu7s7PDw8Mn1948aN8PDw0CgGMpPfIs7Pzw8eHh6wsbHJtt2WLVvg7OysUQzkVrt27fD+/Xs8fvw4XxmJShOlUoVFJx7iu61XWAyQVgsPisXuOVfwwJ8P3CvNtL4gAIAaNWqgfPnyGsMsFi9ejO+//x7t2rXD4cOHMW7cOCxfvhyTJ08u8PmeP3+OL7/8Etu3b8e+ffvw6aefon379jh79iyAtAv4pk2bws/PT2O/x48f49q1a+jTpw8AICIiAs2bN8eNGzewYsUK7Nu3D4aGhvDw8MDbt2819t23bx+OHDmCZcuW4ffff4eBgQGCg4NRtWpVrF69GseOHcOgQYMwffp0zJw5U72fSqVC586dcePGDaxbtw6//fYbDh48iIMHD2ocPy9ZcvseAYCdnZ1627Jly/DkyRNs2rQJO3bsyHS/pKQkeHh4wMfHB2PGjMHx48fh7e2NsLAwdZu9e/eiU6dOqF27Ng4cOID58+dj//79md65/1hqamqOHx8XVAEBAfD19cXChQuzPK6/vz9cXFwwcuRImJiYQF9fHx07dlS/DwVx5coVPHr0CH379s2xrb+/P2rXro0ZM2bAysoKOjo6aNmyJW7cuJFp+61bt2LGjBkAACurtLGk4eHhBc5MVJK9j0uG5+bLWHH6CVQqodMQCS81SYFTW+7jrM8DPrOglNKqIUPZqVixIkJDQwGkzS+YOnUqxo4di9mzZwNIG14klUoxevRojBkzBhYWFvk+17Bhw9T/r1Qq4e7ujrt372LdunVwc3MDAPTp0wdjx45FTEwM5PK0dX/9/PxgYmKC9u3bAwCWLl2KyMhIXL58WX0x1qpVK1SuXBkLFy7E/Pnz1edJTU3F8ePHYWBgoN7WqlUrtGrVCkDahX/z5s0RHx+PlStXwsvLCwBw/PhxXLt2Df/88w8+++wzAICbmxsqVKgAc3Nz9bHykiUzKpUKqampSElJwaVLlzB79mw4OzurewoAwMLCAnv37oVIlPWj1Ldt24br16/jwoULaNq0qXq7p6en+jyjR49Gr169NHqErK2t0bFjR0yZMgU1a9bM9NgvXryAk5NTtl8HAEydOhXe3t4A0r6/Q4cOxa+//gpHR0e8ePEi031CQ0OxZcsW1KpVC35+foiLi8OECRPQvn173L59G1Jp/n9VfX19oaenh65du+bYNjQ0FNeuXcPdu3exZs0a6OjoYNq0aWjTpg0eP34MU1NTjfZnzpzBlStXMGXKFEgkEgAolF40opLqxqtIDNlxFa+jEoWOQlTi3P33NSLfxuPzQbWhZygTOg7lAQuC/6hUKvWF5oULFxAbG4sePXpoXNx4eHggISEBd+7cQcuWLfN9rqCgIEyaNAl//fUXQkJCoPrvFtOHF789e/bEqFGj8Pvvv+Pbb78FkDZ+vGvXrtDV1QWQNu7c3d0d5ubm6pwSiQSfffYZAgICNM7p5uamUQwAQGJiIubMmQMfHx8EBgYiJeX/3d6xsbEwMjJCQEAATE1N1cUAABgbG8Pd3R03b95Ub8tLlsysXr0aq1evVn/esGFDrFu3Dnp6euptX3zxRbbFAACcOnUK1atX1ygGPvTo0SO8fPkSS5cu1fjetmzZEiKRCFeuXMmyILCzs8vV1/Jhr8aGDRsQEhKS40RblUoFpVKJw4cPq1dWqlSpEurXr4/9+/drDBPLC6VSiV27dqFDhw4wNjbOVfvY2Fjs27dP/T7Ur18fTk5OWLduHcaOHZuvHERlwQ7/l5h++B6SeQeUKEvBDyOxd+4VdBjqynkFpQgLgv8EBQXBxcUFANTDS+rVq5dp21evXuX7PEqlEp06dUJUVBSmT5+OypUrw9DQEF5eXggM/P9yddbW1vDw8ICfnx++/fZb3Lx5E/fu3cPSpUvVbcLCwuDv7w+ZLGMVXqlSJY3P0+/af2jcuHFYv349pk6divr168PU1BQHDx7EzJkzkZiYCCMjI4SEhGSYoJrZ8fKSJTM9e/bEmDFjIJPJULFiRY3eh+y+ho+Fh4drXJB/LP17+/Ek2XTZfW91dHRQt27dHDOkj/OPjY3FxIkTMWvWLCQnJyM5ORnR0WmrkMTHxyM6Olp9kW5mZgYnJyeNZVbr1asHExMT3L17N8dzZuXMmTN4/fo1vv7661y1Nzc3h7W1tUZRZGtri2rVqmWaQyqVQqFQAEgrhCZNmgQHBwf1MrJEZYFKpcKMI/ex6XzBh/ARaYOodwnYO+8q2n1fE/Y18z+igooPCwIAd+/eRXBwMPr37w8A6ovR/fv3o2LFihna52bYSFaePHmC69ev4/fff0fnzp3V2xMSEjK07dOnD3788UeEh4dj586d6iIhnbm5OT7//HP1GO4PpfcipMvszvqePXvw448/Yty4ceptR48e1Whja2uLd+/eZdj343kBecmSGUtLy0xXE/pQTr0DQNqwolu3bmX5evr3duXKlWjcuHGG17MrJvI6ZCgsLAzh4eEYPHgwBg8erNHG09MT1tbW6mFq1atXR2Ji5kMQCrIalK+vr8Yws5xUr14904t5lUqVaQ4LCwu8efMGQNp7lz7/hAUBlRVJqQr8susmjt7mhEmivEhOSMWRVbfwaffKqOOR8VqKShatLwgSExMxfPhw6Orq4vvvvwcANGvWDAYGBggKCsryTnJ+pV/46+joqLe9fPkS58+fV/dQpOvatSt++ukn7N27F7t27ULPnj3V47QBoHXr1tixYweqV68OQ8O8d8slJCRo5FAoFNi5c6dGm4YNGyIyMhL//PMPWrRoAQCIjo7GmTNnNO7iFzRLYWndujV27doFf39/jWUx01WrVg0VKlTAs2fPMHTo0DwdO69DhmxsbHDmzBmN10JDQ9GnTx94e3ujTZs26u0dO3aEl5cX3r17p+6RuXLlCqKiolCnTp085UyXlJSE/fv3o1u3brkqytJzbN26FXfu3EGtWrUAAMHBwXjw4EGmDztr1qwZ5s+fj4sXL2Y5TIuotIqKT8EP26/g8vP3QkchKpVUShXO7X6M9yFxaNHbBRIJ17IpqbSqIFAqlfD39weQNpwj/cFkz549w5YtW9TLaJqYmGD69OkYO3YsgoKC4O7uDrFYjGfPnuHgwYPYt29fhvH4WUl/YuvmzZvRv39/9QXp+PHjoVAoEBcXh6lTp6J8+fIZ9k2/szt9+nS8fv1avbpQul9++QU+Pj5o2bIlRo4cCXt7e7x79w6XLl2CnZ0dRo0alW22Nm3aYP369ahRowYsLS2xatUqJCUlabT54osvUK9ePfTt2xdz5syBqakp5s2bBxMTE407xgXNUli+/fZbrF69Gh07dsTUqVNRq1YtBAcH459//sG6desgEomwePFi9O3bF3FxcejQoQMMDQ3x8uVLHD16FLNnz85QmKXT0dHJsRfjQ3p6eupJ4unSJxXXrFkTzZo1U28fNGgQVqxYgY4dO2LSpEmIj4/HxIkTUa9ePXTq1End7t69e7h3757689u3b2Pv3r0wNDTM8NCxY8eOITIyMsvVhf7++2+0atUKmzZtQr9+/QCkDaWqV68eunbtipkzZ0JHRwfTp0+HpaUlfvjhhwzHaN++PerUqYPOnTtjwoQJqFy5MkQiEW7fzt8TxYlKiteRCfDcdBmP35b8p6ATlXT3/n2N2PeJ+PzH2pDpSHLegYpdvguC256l7x/8hIQENG3aFCKRCEZGRnBwcECrVq1w4MABVKtWTaPtr7/+ivLly2Px4sVYsWIFZDIZKlWqhI4dO2rcVc9J+tr26eu/6+rqYv/+/Rg6dCh69OiBihUrYvLkyTh9+nSGp9ICacOGDhw4oF6K9EMWFhbw9/fH5MmTMW7cOISHh8PKygpNmjTJVc/GihUrMHjwYAwfPhwGBgbo378/unTponHhJxKJcPDgQfz4448YNGgQzMzMMGLECNy9exd37twptCyFRVdXF6dOncKkSZMwe/ZsvH//HhUqVNAopnr06AFTU1PMmjVLvXypo6MjPv/8c1hbWxdb1g8ZGxvj9OnTGDlyJPr27QuJRIIvvvgCS5Ys0Si8du/ejWnTpqk/37ZtG7Zt2wYHB4cMKxj5+vrC1tYW7u7umZ5TpVJBoVBoLJMqkUhw/PhxjBo1CoMGDUJKSgpatmwJPz+/THt+ZDIZ/vzzT4wZMwazZs3ikqNUJtwPiUb/zZfxJjop58ZElCuBd9/j8PIb6DC0DnT1tep+dKkgUqmyXkU5MTERz58/h5OTk8ZqL5R7U6ZMwYEDB3D79u1cjYEvDZKTk1GtWjW0bNkSmzdvFjoOUab494vy4/yTMAzefhUxSVw+t7TwKmeFhCcxQsegXCpX0QhfDq8LA+Pc31yloscSrYidP38eEydOLNXFwLp166BUKlG1alVERETgt99+Q2BgYJ7H4BMRlWQHbwRj9J6bSFHwaWNERSXsVSwOLLqGTiPrQm7OmzUlBQuCInb69GmhIxSYvr4+5s6dq35qbp06dXD06NE8jacnIirJ9l0Nwpi9N6FkLUBU5CLfxGP/gqvoNLIun1VQQnDIEBGVSfz7Rbl14HoQft3NYqC04pCh0ktfLsOXw+vC0l4udBStx/WfiIhIax28EcxigEggCTEp+H3Jdbx5ES10FK3HgoCIiLTSoZuv8QuLASJBJSek4vCKGwgP5hK/QmJBQEREWufIrdcYtesGFKwGiASXFJeKg8tuIPJNvNBRtBYLAiIi0irHbofg550sBohKkoToZBxceh3RYQlCR9FKLAiIiEhr/HEnFCP8riOVxQBRiRMbkYSDy24gLpIPBSxuLAiIiEgr/PPoHYb7XWMxQFSCRb9LwMGl15EQmyx0FK3CgoCIiMq8+yHRGOpzjQ8dIyoFIkLjcWjZDSTFpwgdRWvkuyC4X626IB/55e3tDSMjo3zvT6Wbm5sbRCIRRCIRxGIx7O3t8fXXX+Ply5c57rtlyxaIRCKEhYUVQ9KC69y5M0QiERYuXKixPf3r+Phj/PjxGu1SU1Mxb948VKtWDQYGBnB0dMTIkSMRGRmp0S4qKgqDBg1CuXLlYGBgADc3N9y4cSPXOQ8ePIgmTZrAwMAA5ubmaNOmDd6/f59pVolEAgcHB0ycOBEpKWn/QLx48QIikQhnz57N83tE2uVNdCIGbglATFKq0FGIKJfCXsXi2G+3oVAohY6iFfikYtIan376KRYuXAiFQoHbt29j8uTJ8Pf3x+3bt2FgYJDlfh06dMDFixdhampafGHz6fjx47h06VK2bf744w+YmJioPy9fvrzG69OnT8ecOXMwbdo0NG3aFPfv38fEiRPx/PlzHDp0SN2ub9++CAgIwPz582FtbY0lS5bAw8MDN2/eRMWKFbPNsGXLFgwePBijR4/GnDlzEBsbi7NnzyI5WbOLOD1rcnIy/P394eXlhffv32PNmjW5fUtIy8UlpWLA5gCERCUKHYWI8uj140ic9XmIVv3yf0OYcocFARUJhUIBpVIJmUwmdBQ1U1NTNGnSBEBacWBoaIh+/frh2LFj6N69e4b2ycnJkEqlsLS0hKWlZXHHzbOkpCSMGDECc+bMwcCBA7NsV79+fZQrVy7L1319fdG3b19MnDgRAODu7o7Y2FhMmDABcXFxMDQ0hL+/P44dO4ZDhw7hyy+/VLdzcnLCwoULsWzZsiyPHx4ejhEjRmD58uUYNGiQenv6cbLK2qJFC4jFYkyYMAEzZszI/s0gAqBQqjDU9xruhfChR0Sl1YMLITCzNkC9dg5CRynTOIfgA0FBQfjmm29Qrlw56Ovro0WLFrh69apGG0dHRwwbNgwrV66Eg4MDTExM8NVXX+Hdu3ca7QIDA9GjRw+YmprCwMAAHh4euHLlivr1/v37o3bt2hkyHD58GCKRCPfu3QMAKJVKzJ49G05OTtDV1UWVKlWwdOnSHL+WixcvolOnTrCzs4OhoSHq1q2L7du3q1+Pi4uDkZERFi1alGHfbt26oVGjRurPIyMjMWTIENja2kJXVxf169fHiRMnNPZxc3NDx44dsXXrVlStWhW6urq4ceMGQkJCMHDgQDg7O0NfXx9VqlTBxIkTkZSkuYJAVFQUvvnmG8jlclhaWmLs2LGYO3cuRCKRRrvcZMmt+vXrAwCeP38O4P/f2wULFsDBwQH6+voIDw/PdMhQUlISJk+eDGdnZ+jq6qJChQoYMGCAxvEvXrwIDw8PGBoawsTEBH379sXbt2/zlTU3Fi5cCFNTU/Tv379Ax0lJSdHoQQDSiimVSgWVKm389fXr1yESidC2bVt1GwMDA3z22Wc4fPhwtsffvXs3VCpVvnK2a9cOqampGr9LRFnxOngHZx++y7khEZVoF39/iqfXiu7fT2JBoBYREYHmzZvjxo0bWLFiBfbt2wdDQ0N4eHhkuIg7dOgQDh8+jFWrVmHZsmU4e/Yshg8frn49JiYGLVu2REBAAFatWgU/Pz8kJSXBzc0NDx48AJA23OLOnTu4c+eOxrF37twJV1dX1KhRAwAwZswYTJkyBd988w0OHz6Mr776CqNGjcrxDunLly/x6aefYsOGDTh8+DC6deuG7777Dtu2bQMAGBoaolOnTvDz89PYLyYmBseOHUOfPn0ApN0lb9OmDY4cOYJZs2bh0KFDqFGjBjp06IDbt29r7HvlyhUsWrQIM2bMwLFjx1CxYkWEhYXB3Nwcixcvxh9//IGxY8di69at+OmnnzT2HTBgAI4cOYL58+dj69atePjwIVatWqXRJi9ZciO9ELCzs1Nv27dvH44cOYJly5bh999/z3IoUbdu3bB48WIMHDgQR48exYIFCxATE6N+/eLFi3Bzc4OJiQl27dqFdevWISAgAJ06dcoxV2pqao4fSqXmmMrAwEDMmTMHy5cvz1BEfaxmzZqQSCRwdnbGnDlzoFAoNF7/8ccfsX37dvz111+IjY3FlStXsHDhQvTv3189DycxMRFisRgSiURjX11dXbx48QIJCVmvI+3v74+qVatiy5YtsLe3h0wmQ/369XH69OlM2x85cgQ///wzAMDKygpAWi8DUXbW/v0UPpcChY5BRIVBBfy1+R7evmRvX1HhkKH/LF26FJGRkbh8+bL6oqNVq1aoXLkyFi5ciPnz56vbqlQqHDp0CLq6ugCAJ0+eYP78+VAqlRCLxdi8eTNevnyJ27dvo2bNmupjOTg4YO7cudiyZQtatWoFKysr+Pn5YdasWQCAhIQEHDp0CJMmTQIAhIWFYcWKFfj111/VBUDbtm0RHR2NefPmYdSoUVlOlO7du7dG3hYtWiAoKAhr1qxBv379AAB9+vRBp06d8PjxY1SpUgUAcODAASQnJ6NXr14AAB8fH9y4cQM3b95UFynt2rXDo0ePMGPGDOzevVt9noiICFy5cgUVKlRQb7OxsdGY3Jo+VMfT0xMrV66EgYEB7t27hwMHDmDbtm349ttv1edwcXHR+JrykiUzKpVKfTF9+/ZtjB07FqampmjdurW6TWpqKo4fP57tnIKTJ0/i6NGj8PX1VRdO6e9nuvHjx6NBgwbYv3+/+gK9Vq1aqF27No4dO4b27dtnefzcDLPy9PTEli1b1J+PGjUKXbt2RdOmTbPcx9bWFtOmTUPjxo0hEolw6NAhTJ48GcHBwVi5cqW6XfrE3bZt26p7BLp27Yq1a9eq27i4uEChUODatWvq3iSlUomAgACoVCpERkZCX18/0xyhoaF4+PAhvL29MW/ePFhZWWHJkiVo37497t27B2dnZ432V65cwYYNG7B06VJ1AZKaysmhlLVjt0Mw948HQscgokKUmqLE0dW30H1cA8jN9YSOU+awh+A/J06cgLu7O8zNzdV3YSUSCT777DMEBARotG3ZsqW6GACAGjVqICUlRd2T8O+//6JmzZrqYgAAjIyM8OWXX+Lff/8FAEgkEvTo0QO7du1Stzl8+DDi4uLUF5aXLl1CSkqK+uI8XZ8+fRAXF4fr169n+fVERERgxIgRcHBwgEwmg0wmw7p16/Do0SN1m88//xzm5ubYuXOnetvOnTvRsmVL9V3zEydOoHbt2nBxcdG4Q92qVasM74urq6tGMQCkXYQvXboUNWrUgL6+PmQyGb7++mukpqbi2bNnAKA+zod3zyUSCTp27KhxrLxkycyxY8cgk8mgq6uLBg0aIDU1Ffv374e1tbW6jZubW7bFAACcOnUKBgYGGkXXh+Lj43H+/Hn06NEDCoVCnbNq1aqwtbXNMWtAQECOH97e3hrvy4kTJzB37txsj9uuXTt4eXmhXbt2aNu2LVauXIlffvkFa9asQUhIiLrdypUrsWTJEixatAh///031q1bh/Pnz+P7779Xt2nbti2qVKmCwYMH4/bt23j79i1Gjx6t/p6KxVn/aVEqlYiNjcWGDRvw7bffol27djhw4ABMTU0zrIxElFd3gqMwatcNqLi6KFGZEx+VjKOrbyE5kTeFCht7CP4TFhYGf3//TO/OVqpUSePzj1eb0dHRAZA2jAJIuxi3sbHJcBwbGxv1sopA2rChVatW4fLly2jUqBH8/PzQtGlTODg4qI+Tvt/HxwGgcayP9e/fHxcuXICXlxdq1qwJY2Nj/PbbbxoFiEwmQ7du3eDn54cpU6YgPDwcJ0+exOrVqzXel+vXr2f6vnw8XCS9Z+VDS5cuxejRozF27Fi4u7vDzMwMAQEBGDp0qPr9CgkJgUwmyzBu/ePj5SVLZpo3b44lS5ZAIpGgfPnymebNbNvHwsPDYWtrm+XQnIiICCgUCowaNQqjRo3K8PqrV6+yPX7dunVzzPDhBfeIESMwYsQIGBgYaCwNmpiYiMjIyGxXR+rZsycWLlyIGzduwNbWFuHh4Rg9ejTmz5+PESNGAEibzGtlZYWvvvoKI0eORL169SCTybB792706tULrq6uAIDatWvj559/xvLly2Fubp7lOdNfc3d3V2/T19dHkyZNcPfu3QztpVKpeliTgYEBJk2ahDp16uT4HpH2iUlMwVDfa0hK5TKFRGVVeFAsTm+9j89/zDgPk/KPBcF/zM3N8fnnn2c6Nv/D3oDcHit9rsCHQkNDNS6U0i/+d+7ciWrVquH48eMad0jT275580ZjacjQ0FCN1z+WmJiIo0ePYtGiRRpzGz4edw6k9TasX78et27dwsWLFyESidCtWzeNDK6urti4cWOOX3dmF8h79uxBp06dMGfOHPW29AnT6WxtbZGSkoKoqCiNouDjuRt5yZIZExMTNGjQINs2OY2/BwALCwuEhIRApVJl2t7U1BQikQgTJ07EV199leH17Fb4AfI+ZOjhw4eYPXs2Zs+erdFmypQpmDJlChISEqCnl3n3quqj26hPnz5FUlJShqIk/fOnT5+iXr166m0PHjzAkydPoFKpUKVKFQwbNgz169fP9muoXr16pu+bSqXKtGfBwsICiYmJ6p+PmTNnAkh7DgHRh8buvYWX4fFCxyCiIvb0+jvc+CsQdVvbCx2lzGBB8J/WrVtjx44dqF69OgwNDQt0rObNm2Pv3r24d++eeqx7XFwcjhw5ojEMRiQSoXfv3ti+fTtq1aqF1NRU9OzZU/16o0aN1Hdi0y/CAGDXrl0wNDTU2PahpKQkKBQKdc8FkDZZ+MM15NOlDw/y8/PDxYsX1cOI0rVu3RrHjh2DnZ2dxuTb3EpISNDIAaTNBfhQw4YNAaQ9qCp9foNCociwWk1BsxSW1q1bY968eeo75B8zNDRUr9+ffvGaF7kZ/vRhUXHmzJkMr7u7u2Pw4MHo1atXhvf/Q7t27YJEIsEnn3wCAOreqatXr6JFixbqdumr+jg6OmrsLxKJ1PNP3r17h127dmnMt8lMx44dMW3aNJw6dUr9+xAfH4+LFy+ib9++Gdo3a9YMADQmuxN9bNO55zh+J1ToGERUTC7ufwprR2PYVjYVOkqZoFUFgUKhwN69ezNsb9iwIX755Rf4+PigZcuWGDlyJOzt7fHu3TtcunQJdnZ2mQ79yMqAAQOwZMkSdOzYETNnzoSRkRHmz5+PhISEDE+F7du3L+bNm4cpU6aoJxqnK1euHEaMGIGFCxdCV1cXn376KU6dOoW1a9di2rRp6sLlxYsXcHJywtSpU+Ht7Q0TExM0bNgQc+fOhaWlJaRSKebOnQsTE5MMd93FYjF69eqFLVu24O3bt9ixY4fG6/369cPatWvh5uaG0aNHw8XFBZGRkbh+/TqSk5M17vxnpk2bNli2bBlWrlwJFxcX+Pj44MmTJxptatSogS5dumDEiBGIj4+Hg4MD1qxZg5SUFI07yQXNUlhat26N9u3bY+DAgXj69CkaN26M9+/fY9++fer5GAsWLICHhwd69eqF3r17w8zMDEFBQTh58iQGDBgANze3LI+fUy/Gx7I6VqVKlTRea9euHVq1aoVatWoBSFsta926dRg5cqR6GJq1tTW6desGLy8vpKamokGDBnjw4AGmTp2KZs2aqZdqBYBZs2ahcuXKsLa2VvdS1K9fX2M50ZcvX6JSpUrw8vKCl5eX+uvr3Lkzvv/+e8ydO1c9qTg+Ph5jxozJ8HXUqVMH7du3xw8//ICnT5+idu3akEgkRbqEK5Uu1wMjMOf4faFjEFExUipV+HPjXfQd5wodU7nQcUq9fBcE1R+Uvj++iYmJ6NGjR4btmzdvRv/+/eHv74/Jkydj3LhxCA8Ph5WVFZo0aYIuXbrk6TxyuRx///03fv31V/z0009ISUlB48aNcfbsWVSrVk2jraurK2rWrIm7d++qVxv60Pz582FmZob169djzpw5sLe3x6JFizQKlLi4OACacw18fX0xaNAgeHp6wsLCAiNGjEBsbGymkzb79OmDJUuWwMDAIMOymLq6ujh9+jS8vb0xa9YshISEoFy5cvjkk08wZMiQHN8LLy8vvHv3Tn0x2L17dyxfvjzDQ6g2bdqEYcOGYfTo0dDT04Onpydq1Kih8UTagmYpTPv27cO0adOwdu1aeHt7w9raWmNN/mbNmuHcuXOYOnUqBgwYgOTkZFSoUEG9cpUQqlWrhg0bNiAoKAhKpRIuLi5YunSpxrAyIO33YebMmVi3bh28vLxgY2ODbt26Yfr06RpDeiIiIjB69Gi8ffsWtra2+PbbbzF58mSNNiqVSv2Qug/t2LED48aNw5gxYxATE4NGjRrh1KlTGZ6anG7Xrl0YP348Vq1ahTdv3mQY6kTaKzI+GcN8ryNFwZ8JIm2iZyBBzfcnETpmKyquW5urIb+UNZEqm39ZExMT8fz5czg5OWU5BpmEt3HjRowfPx4vX77McYWc0qR58+aQyWSZDokhygn/fpV9KpUK3229gtMP2FukzbzKWSHhSUzODanMsLKWoNqFJZC+epj2+ZjRsPjuO4FTlW5aNWSorDp//jxGjRpVqouBffv2ITAwEK6uroiLi4Ovry/Onz+PAwcOCB2NiEqoNX8/YzFApE1EQDXrSNjsnQZxarJ689uly2DQoAH0uQJdvrEgKAM2bdokdIQCMzIywvbt2/H48WMkJyejWrVq2LFjR6ar9BARXX35HotOPBQ6BhEVE10DCerE/w2jnX4ZX0xJQfCvo+F0YD8kcs4nyA8WBFQitGvXDu3atRM6BhGVAokpCozecwupSs4bINIGllZSVPNfDFlg1jcBUoKC8GbmLNjNy/4hnZQ5PqmYiIhKlUUnHuJ5WJzQMYioGFS1iUbN30dkWwykizp4ELH//FMMqcoeFgRERFRqXA+MwMZzz4WOQURFTEdfgobiiyi/cwLEyUm53i9kqjcUsbxhkFcsCIiIqFRISlVgzN5b4EghorKtnJUUTe4th/z0jpwbfyQ1JARvF2VcYp2yx4KAiIhKhWV/PcaTt7FCxyCiIuRiG4Pav4+E9OW9fB8jcucuxF2+XIipyj4WBEREVOLdDorCun+eCR2DiIqIjp4EDSWXUMFvPETJiQU7mEqFkClToEws4HG0CAsCIiIq0VIUSozZe5OrChGVUeWspGj8cCXkp7YV2jFTXgbi3fIVhXa8sk5rCgJvb28YGRnl+jWRSKT+0NXVRdWqVTFx4kTExXGiSm69ePFC433U19dHzZo1sXDhQqSkpOS4v5ubGzp27FgMSfNnx44daNKkCczNzaGnp4eqVatixowZSErSnPyUnJyMcePGwc7ODvr6+mjUqBFOnTqV4XgfvlfpHzY2NlmeX6lUol69ehCJRNi7d2+OeTM7fvpHSEgIgLT3/OPvWaNGjfDHH3+oj+Pt7Q1HR8dcvktEBbfy9BM8COWTaInKoiq2saj9+0jInt8p9GO/37oVCbdvF/pxy6J8P4dg1eDThZkj14au8Si2cw0fPhx9+/ZFYmIi/vrrL8ydOxfPnj3Dzp07iy1DWTB79my4u7sjNjYW+/fvx5gxYxAWFoa5c7NfK3j16tWQSCTFlDLv3r9/j/bt22PSpEkwMjLCpUuXMG3aNLx69Qrr1q1Tt/v555+xbds2zJo1C9WqVcPmzZvRvn17XLx4EfXq1dM4ZvrPXDodHZ0sz7927Vq8fv0613kvXryYYVu/fv1gaGgIW1tb9bZPP/0UCxcuVH+NmzZtQseOHXH27Fk0b9481+cjKgyP3sRg9dknQscgokKmoydBnVR/yP22FN1JFAqETJwEp317Icrm31Pig8myZW9vjyZNmgBIu3MaEhKCTZs2YeXKlShXrpzA6TKXkJAAfX19oWNoqFKlivp9bN26NR4+fIhVq1ZlWRCkfw01atQozph5NmLECI3P3d3dERMTgyVLluC3336DRCJBcHAw1q1bhyVLlmD48OEAgLZt26JOnTqYNm0aDh48qHGMD3/mshMWFobJkydjwYIF+O6773KV9+PjvnjxAo8fP8b8+fM1tpuammq0/eKLL+Dq6ooFCxawIKBiN+3wXaQoOFSIqCyxsJSixtVVkD27VeTnSnr8GOFbtqLcoB+K/FylmdYMGSoM9evXBwA8f571GtiLFi1Cw4YNYWJiAisrK3Ts2BGPHj1Sv75lyxZIpVK8efNGY7/3799DR0cHq1evVm+7ePEiPDw8YGhoCBMTE/Tt2xdv375Vv54+JGfLli344YcfYGFhgYYNGwIAjh49ijZt2sDKygrGxsZo3LixxrCPdOfOncMnn3wCPT091KpVC3/88Qdq1aqF/v37a7TLKUte1K9fH7GxsXj37h3Onj0LkUiEo0ePonv37jA2NkaPHj0AZD5k6P79++jatSvMzc1hYGCAOnXqwM/v/48xV6lUWLhwIVxcXKCrqwtnZ2csWbIkXznzw8LCAikpKVAqlQCAW7duQaFQaDyFWSQSoW3btvjzzz+RnJycr/NMmDAB7u7u8PDIf4+Zr68vRCIR+vTpk2279Lz+/v75PhdRfvxxJwTnn4QLHYOIClFl23i4Hvq5WIqBdOHr1iH1/ftiO19ppHUFQWpqaoaP9Iu3nKQXAnZ2dlm2CQoKwrBhw3Dw4EFs2LABSqUSzZo1w/v/fhC7du0KmUyGPXv2aOy3b98+qFQq9cXwxYsX4ebmBhMTE+zatQvr1q1DQEAAOnXqlOGcEyZMgEgkgp+fHxYsWKDO+uWXX2L79u3Yt28fPv30U7Rv3x5nz55V7xcSEoLPP/8ccrkcu3fvxrhx4zB06FCEhoZqHD8vWXLj+fPn0NXVhYWFhXrbjz/+iMqVK+PAgQP49ddfM93v8ePHaNq0KR4/fozly5fj0KFDGDBgAAIDA9VtRo4cCS8vL3h6euLo0aPo378/xo0bhzVr1mSbSaVSZfqz8fGHSpXxTmVqairi4+Px77//YunSpRgyZAhkMhkAIPG/FQ4+Hvqjq6uLpKSkDMXl3LlzIZPJYGpqil69eml8bekCAgLg6+urHtaTX35+fmjRogUqVKiQ6euTJk3Crl27AABWVlYID+eFGRWfxBQFZh69L3QMIiokMl0xGuhchb3fGIiSEor13MrYWLxbvrxYz1naaNWQobi4OPWF2scMDQ0zbFMqlUhNTVXPIVizZg2aNWuG8uXLZ3mOD+9GKxQK9V36vXv3YtCgQTA2Nkb79u3h5+eHYcOGqdv6+fmhVatWsLS0BACMHz8eDRo0wP79+yESiQAAtWrVQu3atXHs2DG0b99evW+9evU0xqwD0Di2UqmEu7s77t69i3Xr1sHNzU2dVSqV4ujRo5DL5QCAihUrwt3dXeNYecmSmfT3MS4uDvv27cOBAwfQs2dPiMX/r0c7d+6c45wCb29v6Ojo4Pz58zA2NgaQNgQp3dOnT7Fy5UqsWbMGgwYNUr8eGxuLadOmYdCgQRrn/NDWrVsxYMCAbM8PAGfOnFG/f0BaMfDhz5Snp6fGz4CLiwsA4PLlyxoTcdPvtr//4I5Fv3790LFjR1hbW+POnTuYMWMGmjdvjps3b8LMzAxA2ns5dOhQ/Prrr3B0dMSLFy9yzJyZW7du4c6dO1i7dm2WbXx8fBAVFYVevXpBIpFAoVDk61xE+bH+n2cIiijeiwYiKhrm5aSoef03yJ7eECxD5J69MP/mG+hWrixYhpJMqwoCfX19/PPPPxm2r1u3Dr6+vhm2jxs3DuPGjVN/3qZNmwwX3h/z9/fHlClTcO3aNY2LvQ+HDfXp0wc9e/ZEYGAg7O3tERoair///hubN28GAMTHx+P8+fNYuHChxkVY1apVYWtri4CAAI2L8MwuyIOCgjBp0iT89ddfCAkJUd/ZTh/2BKTdaXZ3d1cXAwDUPQHp8polM7169VL/v0gkQo8ePbBiheZSYDkdAwBOnTqlHlaUmb/++gsA0K1bN6Smpqq3t2rVCgsWLMCrV6/g4OCQ6b5ffvklAgICcsxQtWpVjc+lUikCAgKQmJiIK1euYMaMGRgwYAC2bt0KAKhZsybc3Nwwbtw4VKhQAVWrVsXmzZvx999/A4BGgZK+DwC0aNECzZs3R7169bB+/XqMHTsWALBhwwaEhIRg/PjxOWbNjo+PD2QyGbp3716g4xAVhbfRifjt76dCxyCiQlDZNgEVDkyFOFHgVRoVCryZPx/2OVzHaSutKgjEYjEaNGiQYfuRI0cybT9y5Eh888030NXVhaOjo8aFc2YCAwPRtm1bNGjQAGvXroWdnR10dHTQoUMH9dARAOjYsSPkcjl27tyJsWPHYteuXdDR0cFXX30FAIiIiIBCocCoUaMwatSoDOd59eqVxudWVlYanyuVSnTq1AlRUVGYPn06KleuDENDQ3h5eWkMQQkJCUGVKlUyHD+9lyI/WTIzb948eHh4wMDAAI6OjjAwMMjQ5uOvITPh4eHZDtcKCwuDSqXKcsJ3dgWBubm5RiGUlcxWPUr/mWrevDkqVqyI7t27Y/jw4ertW7ZsQY8ePfDpp58CABwcHODl5YWpU6dmu6yoq6srqlatiqtXrwIAYmNjMXHiRMyaNQvJyclITk5GdHQ0gLTCLTo6Osti6UMqlQo7d+7EF198AXNz8yzbSaVSdRHYtGlTTJo0KcdjExWGxScfIT6ZPVJEpZlMVwxXXIOJ33qho6jF/fMvYs+fh9F//x7T/2lVQZBXFSpUyLSAyMoff/yhXlrT1NQUQNqQkvcfTWTR09PDV199pS4Idu7ciQ4dOqgv5kxNTSESiTBx4kR1kfChjy9404fxpHvy5AmuX7+O33//HZ07d1ZvT0jQ7H63tbXFu3fvMhz/w215zZIZZ2fnHN/Hj7+GzFhYWGS7zKa5uTlEIhHOnTuX6XKdH9/d/1B+hwx9LL0H5smTJ+qv2cHBAZcvX8aLFy8QHx+PqlWrYvHixbC1tc2yQEn34ZyFsLAwhIeHY/DgwRg8eLBGO09PT1hbW2eY/5GZc+fOITAwMMPqQh+zsLBQH+/TTz9VFzRERelhaAz2XA0SOgYRFYBZORlq3lwDncfXhI6Swdv5C2B4oClEWQwh1lYsCApRQkICRCKRxpjy3bt3awxfSdenTx9s27YNf/75J/z9/bFv3z71a4aGhmjatCnu37+PmTNn5isHoDmR9eXLlzh//rx6TDsANGzYEGvXrkVMTIy69+PMmTOIiooqtCyFqXXr1ti7dy/mzZuXaW9Nq1atAKT1JHz55Zd5OnZ+hwx97Ny5cwDSiqCPpc8hSEhIwMaNG/H9999ne6wbN27g0aNHGDhwIADAxsYGZ86c0WgTGhqKPn36wNvbG23atMkxP5C2upCRkVGO71GzZs2wbds2xMXFZTrHhqgozD52Hwo+kZio1Kpkl4iKB8ZBnBArdJRMJT18iMh9+2D23yIulIYFQQF4e3tj2rRpeP78ORwdHdVLQA4YMAA//vgj7t27h4ULF6p7Cz7UunVrWFpaYuDAgeqJxh9asGABPDw80KtXL/Tu3RtmZmYICgrCyZMnMWDAgGzvUlerVg0VKlTA+PHjoVAoEBcXh6lTp2aYDD1q1CisXr0aHTp0wJgxYxAZGQlvb29YWFhojG0vSJbCNHXqVBw5cgTNmzfH2LFjYWtri3v37iE+Ph5jx46Fi4sLhg4dim+//RZjxoxB48aNkZKSgkePHuHMmTP4/fffszy2hYWFxqpHudGiRQt06dIF1atXh1gshr+/PxYuXIjPP/8cjRo1UrdbuXIlTExMULFiRbx48QKLFy+Gnp6exvyUhQsX4tmzZ2jZsiWsrKxw584dzJo1CxUrVlQXDnp6ehne6/RJxTVr1kSzZs3U26dPn47p06fj6dOnGr0Qqamp2Lt3L7766qtMh259aPjw4diwYQNatmyJwYMHq4c3fTgfhqgwnX8Shr8fZey1JKKST6ojRh3JDZj4Zr1YRUnxbvlymLRvDzFvdqnluyAozicGl1RxcXHQ1dVVX/DXrl0bmzdvxrRp09CxY0fUrVsXe/fuVS8l+iGpVIoePXpg9erV8PT0hJ6ensbrzZo1w7lz5zB16lQMGDAAycnJqFChAlq1aoXKOcyQ19XVxf79+zF06FD06NEDFStWxOTJk3H69GlcuXJF3c7W1hbHjx/HiBEj0L17d1SqVAkrVqzA4MGDNcbTFyRLYapSpQouXLiACRMmYMiQIUhNTYWLi4vGBNvly5ejatWqWLt2LaZPnw5DQ0NUrVoVPXv2LPQ8DRo0wPr16/Hy5UvIZDI4OTlh2rRpGDJkiEa7pKQkeHt7IygoCBYWFujatStmzJihcde9atWq2LdvH3bu3ImYmBhYWlqiQ4cOmDlzZqYFZU6USiUUCkWGZVL//PNPhIWFaTwNOSvOzs44c+YMxo8fj59//hlxcf+fEJbTUCei/Fj6F4tNotLIzEKKmnc2QOdhzj3tJYHiXRjCN22G5fBhOTfWEiJVZgur/ycxMRHPnz+Hk5NThgtWAj777DPUrl1b42Fipd2jR49QrVo1bN68GZ6enkLHIco3/v0qXS49C0evdXz4HeWdVzkrJDyJETqG1nK2S4b9wakQx0ULHSVPxMbGqHz6NCRG7CUAOGQo35KTk3Hz5k3s2LFD6CgFMmHCBLi6usLOzg7Pnj3D7NmzYWdnh27dugkdjYi0yMozT4SOQER5INURw1VyC6a+vwkdJV+U0dGI3OkHixzm82kLFgT5pKOjo17ysTRLTk7G+PHjERoaCn19fbi5uWHBggUwMjISOhoRaYkbryLx7+MwoWMQUS6ZWshQ695G6Ny/JHSUAgnfuhVm334Lsa6u0FEEx4JAyy1atAiLFi0SOgYRabGVpx8LHYGIcsnJLgUOhyZCHBuVc+MSTvEuDJH79sE8F/PqyjouwkpERIK5HxKNUw/eCh2DiHIglYnxieE9OPn+XCaKgXTvN26CKpPl4bVNrgqCbOYdExGVSPy7VTqsPPME/FYRlWwm5jI0CdoKs6OrhI5S6FKCgxF99KjQMQSXbUGQ/oCt+Pj4YglDRFRY4uLiMjwokEqWp+9icfx2iNAxiCgbjnap+OTEWOjcL7urgIWtX6/1N5GynUMgkUhgamqKt2/TunMNDAwgEomKJRgRUV6pVCqkpqYiOjoa0dHRMDU1hUQiEToWZWHVmSfgQ4mJSiaJTAxX3fsw810udJQil/zkKWJPnYK8dWuhowgmx0nF6U8nTS8KiIhKOolEAltbW40H7FHJ8jY6EYduvBY6BhFlwsRchloPt0D37gWhoxSbsHXrWRBkRyQSwdbWFlZWVkhJSSmOTERE+SaVSiGRSNibWcLtDHiFVHYPEJU4DnapcDo8BeKY90JHKVaJt24h/soVGDRoIHQUQeR62VGJRMKudyIiKjClUoVdAa+EjkFEH5BIRaht8AjmvkuFjiKYyD17tLYg4LKjRERUrM48fIvgyAShYxDRf4zNZGjyxg/mh5YKHUVQ0X+egKIMPHQ2P1gQEBFRsfK9FCh0BCL6j4OdAvVOTYDu7X+FjiI4VWIiog4eEjqGIFgQEBFRsQmOTMCZh1ykgkhoEqkIdU2eopLvCIijw4WOU2JE7tkjdARBsCAgIqJis+tyIJcaJRKY3FSGJu92w/zgYqGjlDhJjx4h4eZNoWMUOxYERERULFIVSuy6wsnEREKyt1Oi/pmJ0L15VugoJVaEFvYSsCAgIqJi8df9t3gTnSR0DCKtJJaIUMf0BSr7Doc4KkzoOCVa9LHjUMTGCR2jWLEgICKiYuF7mZOJiYRgZCJDk/C9sPh9gdBRSgVVfDyijxwROkaxYkFARERF7l1MEs49fid0DCKtU9FOhfr/TIbejdNCRylVtG1yMQsCIiIqcn/cDeVkYqJiJJaI4Gr2ElV8h0ESwZW98irx7l0kPXkidIxiw4KAiIiK3LFbIUJHINIaRiZSNInYj3IH5gsdpVSLPnFC6AjFhgUBEREVqfDYJFx+8V7oGERaoYIdUP9fL+hd+0voKKVezEnteQ9ZEBARUZH6424oFBwvRFSkxGIRXM1fwcV3KCTv3wgdp0xIun8fyUFBQscoFiwIiIioSB2/HSp0BKIyzdBYiiZRv6Pc/rlCRylzYk6cFDpCsWBBQERERSYiLhn+z8KFjkFUZpW3Axqemwq9q9oz3r04xZxkQUBERFQgf94NRSqHCxEVOrFYhNoWwXDxGwbxe/bCFZWEGzeQ8rbsr9LEgoCIiIrMsTu8UCEqbIbGUjSOOQTLfbMhUrHgLlIqFWJPnRI6RZFjQUBEREUiKj4FF5+GCR2DqEwpbytCgwvToR/wh9BRtIY2DBuSCh2AiIjKpn+fvEOKgncviQqDSAzUNA+B5c5Z7BUoZnGXA6CIioLExEToKEWGPQRERFQkLjzlZGKiwmAgl6JJ7DFY7Z3JYkAIqamI/edfoVMUKRYERERUJC6yICAqMDtbERr6z4D+5aNCR9Fq8ZcvCR2hSHHIEBERFbrXkQl4HhYndAyiUkskBmpYhMJq12yIlAqh42i9+MsBQkcoUiwIiIio0HG4EFH+GRhJ4Rp2BAanDwsdhf6T/PIlUt6+hczKSugoRYJDhoiIqNBd4OpCRPliaytGg4DZMPBnMVDSlOVeAhYERERU6PzZQ0CUJyIRUNPyLartGgbpm5dCx6FMxAeU3YKAQ4aIiKhQPQ+Lw+uoRKFjEJUa+kZS1Hl/HAZ7fhc6CmWDBQEREVEunX/C4UJEuWVjI4bL33MgDXkhdBTKQfKzZ0gNC4O0XDmhoxQ6DhkiIqJCxeVGiXImEgE1rMJQfc9wFgOlSFntJWBBQEREherqywihIxCVaPqGUjROPgWb3VMhUqQKHYfyoKwWBBwyREREhSY8Ngmh0Zw/QJQVaxsxqv09F5KQ50JHoXxgQUBERJSDeyHRQkcgKplEQA2rcFjvmc5egVIs6ekzKBMSINbXFzpKoeKQISIiKjR3X7MgIPqYnqEUjVPPwGaXF4uB0k6pRNKTp0KnKHQsCIiIqNDcY0FApMHaWoJGNxbA8N+9QkehQpL06KHQEQodhwwREVGhufs6SugIRCWDCKhuFQHrfdMhTk0WOg0VoqRHj4SOUOhYEBARUaFISFbgeVic0DGIBKdnIIFr3BkY7doldBQqAokPWRAQERFl6n5oNJQqoVMQCcvKWoJqF5ZA+qrsDSuhNOwhICIiygLnD5BWEwHVrCNhs3cahwiVcYr375H67h2klpZCRyk0LAiIiKhQcIUh0la6BhLUif8bRjv9hI5CxSTx0SMYlaGCgKsMERFRoXgYyoKAtI+llRSN7iyB0VkWA9okqYzNI2APARERFYpXEQlCRyAqVlVtomG73xvi5CSho1AxK2vzCFgQEBFRgSWlKhAWy4si0g46+hLUSToH+c4dQkchgSQ9eSJ0hELFgoCIiArsdWQiVFxhiLRAOSspalxaBunLe0JHIQGlvH4tdIRCxYKAiIgKLJjDhUgLuNjGoPw+b4iSE4WOQgJTvH8PZUICxPr6QkcpFJxUTEREBRYUES90BKIio6MnQUPJJVTwG89igNRSQkKEjlBo2ENAREQFFhzJHgIqmywspahxZQVkz+8IHYVKmJTg19B1dhY6RqFgQUBERAXGIUNUFlWxjUWFfVPZK0CZSgkpO/MIWBAQEVGBBbGHgMoQHT0J6qT6Q+63RegoVIKlvnkrdIRCw4KAiIgKjD0EVFZYWEpR4+oqyJ7dEjoKlXCp794JHaHQsCAgIqICUShVeBPNIRVU+lW2jUfF/V4QJbHApZyxICAiIvpPVEIKUpV8CAGVXjJdMeqoAmDst0noKFSKpIaFCR2h0LAgICKiAolNTBU6AlG+mZeToub13yB7ekPoKFTKsIeAiIjoP9GJKUJHIMqXyrYJqHBgKsSJcUJHoVJIERkpdIRCw4KAiIgKJDaJPQRUush0xXDFNZj4rRc6CpViqsREqFQqiEQioaMUGAsCIiIqEA4ZotLErJwMNW+ugc7ja0JHoTJAlZAAkYGB0DEKjAUBEREVCHsIqLSoZJeIigfGQZwQK3QUKiOUCQkQsyAgIiJtF8M5BFTCSXXEqCO5ARPftUJHoTJGmVA2llxmQUBERAUSwx4CKsHMLKSoeWcDdB4GCB2FyiBVQrzQEQoFCwIiIioQziGgksrZLhn2BydAHBctdBQqo5SJ7CEgIiLiHAIqcaQ6YrhKbsHU9zeho1AZp4wvG0+1ZkFAREQFEp+sEDoCkZqphQy17m2Ezv1LQkchLaBKZEFAREQEpUoldAQiAICTXQocDk2EODZK6CikJTipmIiIiKgEkMrEqK1zB2a+q4SOQlpGmcAeAiIiIiJB6UoSUD94G3TuXRQ6Cmmj0v+QYgCAWOgARERERHllKFXAp8rfiLLbgjdVFRAZGwsdibSQWEdH6AiFggUBEREViKis3CKjUmOU/TPcsJiCT1+tRZxeIn6tdg2DflLh9teNILK1FjoeaRFRGSkIOGSIiIgKRMJbS1RMGptGY6X5Lli+PqPeJlemTWqPECdghv016HhK8H1YPbj9EwE8ei5UVNISIplM6AiFggUBEREViJQVARUxE1kq1jn+g0YhOyB6rbmqi1ypuextskiB1Za3sLob0CO6JjpfBnQC7hZnXNIi7CEgIiICoMOCgIrQWIfHGJSwAdJXrzJ9XZ6akuW+e4wfYk9r4LPmzvC8aQrjf24BqXyQHhUeFgREREQApGLOIaDC19w8CstM/GAR8k+27eQpSTke61+9QPzbOBBV65XDkEf2sDt1F6q4uMKKSlqMBQEREREAmZQ9BFR4zGSp2OB4BvVe+0AUkpxje3lyIiDJ3bEfysIwsmYYrKoZYVhgI1Q/9Qyqd2EFTEzajHMIiIiIABjp8p8SKhyTHB9iQNwGSF8F53ofeXI8oJ+387yVxMLL6Rr0vpPipzf10fTvd8CzwDymJWIPAREREQDA1KBs3CEj4biZR2CJsS/MQs/neV95Uiygn79ha4miVCyxuYmlPYGvo1zR/mIKpDfu5+tYpJ1YEBAREQEwNygb/yBS8bPUScF6h1OoE+wHUXzWk4OzI0+IAkxNC5RDJQJ2mN7Dji+Ati1c0Oe6AQwv3AYUipx3Jq3GgoCIiAiAKQsCyoepTvfRL2YDJK9CCnQco8QYiEXmUKqUhZLrhOEznGgOuDaywY/37WB15jZUCYk570jaRySC1MxM6BSFggUBEREViLkhCwLKvTbl3mOh4Q6YhPgXyvFEUMFQaoCYlNhCOV66WzpvMLTOG5SvZYzhz11R6a9HUEVEFuo5qHSTmJhwUjEREREAmBmWjX8QqWjZ6CZjvf1J1AreBVFs4T4LQF4EBUG6YEk0xle+BrmzLoaGNET9M8FQvXpdJOei0kVqWU7oCIWGBQERERWIGYcMUQ5mOd9B76gNkLx6WyTHl0v1iuS4H4oRJ2Fu+euQfCPCgPC6aH0+DuK7j4v8vFRyScqxICAiIgIAyCRiyHWliEniE2BJ0xeWYZivvw3y11eK9DxysW6RHv9DCqiwweIONnQCOnlUR/crMuj53wZUqmLLQCWDtJyl0BEKDQsCIiIqMDNDHRYEpGarl4yNFf9E9aDdEMUU/Uo9RiJhLmcOGT3GITegUVN7fHenHMzP3oYqOeeHqVHZIGUPARER0f+ZGeog8H280DFIYCKRCnOdbqNH5AaIXxXfE4CNRbl8VHERuawbjMv1g+FcxwxDnzjB/tQDqKKjBc1ERY8FARER0QfKcaUhrdfZ+i1m6WyD0etrxX5uuSp/DyYrbM+kEfi1WgTMXPQxLKgRXE+/hCrkjdCxqIhwUjEREdEHKpobCB2BBGKvn4j1FY7DJWgfRIX0LIC8kpew4fsR4gTMsL8GHU8Jvg+rB7d/IoBHz4WORYWMPQREREQfcCpnKHQEKmYSkRILnG/iq/cbIX71XtAsRiX0icLJIgVWW97C6m5Aj+ia6HwZ0Am4K3QsKiRcZYiIiOgDDhbsIdAm3W3eYLp0CwyCbwodBQBgrCj5E9r3GD/EntbAZ82d4XnDFMb/3gJSS35uyprM1lboCIWGBQERERUYewi0g7NBItaXPwrnV/shQskZpyNPSRI6Qq79qxeIf5sEolr9cvjpYUXYnb4HVVyc0LEoj6SWlpDI5ULHKDQsCIiIqMAqmBlAJhEhRVFyLhKp8EhESiytdB0dwjZC/CpS6DgZyFMThY6QZw9kYRhZKwxW1Y0wPLARqv/1FMqwcKFjUS7pVKokdIRCxYKAiIgKTCIWoaKZAZ6F8U5nWdPbNgRTxZuhH3RH6ChZMkqKB4rv2WSF6q0kFlOcrkHveymGvGmApmffQvU8UOhYlANdFgREREQZOZYzZEFQhlQxTMA628NwDDpYooYHZcY4KbbUFgTpEkWpWGxzA6JewDdRrmh/IRmSmw+EjkVZ0KnkLHSEQsWCgIiICoWjBecRlAUysQrLnQPw+btNEAWVjodryRNiAGMjoWMUCpUI2G56D9vbA21buqDPdQMYXrgNlNCVlLSVbqXKQkcoVCwIiIioUDiW40pDpV0/u9eYiI3QC7ovdJQ8MUqMBlA2CoIPnTB8hhPNAddGNvjxvh2sztyGKqH0zZcoi3TZQ0BERJQRewhKr+pG8Vhr8zvsg44IHSVfpMpU6Ev1kZCaIHSUInFL5w2G1nmD8rWMMfy5Kyr99QiqiEihY2ktiYlJmXooGcCCgIiICkk127KzBJ+20BUrsdL5Mlq/3QRRUKzQcQpELjUsswVBumBJNMZXvga5sy6GhjRE/TPBUL16LXQsrVPWVhgCWBAQEVEhsZLrwc5ED6+jOKShNBhY/hXGKTdBN+ih0FEKhbFUH2+FDlFMYsRJmFv+OiTfiDAgvC5an4+D+O5joWNpjbI2XAhgQUBERIWoTkVTvI4KFToGZaO2PA5rrPajfPBxoaMUKiOxjtARip0CKmywuIMNnYBOHtXR/YoMev63AVXJXhWqtCuLPQRioQMQEVHZUaeiqdARKAv6EgU2VTmPQ6Kfy1wxAABysUzoCII6ZPQY/dzuYeEoe0S0rQ+RjvYVSMVF39VV6AiFjj0ERERUaOqyICiRfqr4EqNSNkDn1VOhoxQZuYiXNABwWTcYl+sHw7mOGYY+cYL9qQdQRZeO5WNLA5GODvRq1RI6RqHjbw8RERUa1womkIhFUCg5ZKEk+MQ4Br9Z7oNN8AmhoxQ5OURCRyhRnkkj8Gu1CJi56GNYUCO4nn4JVcgboWOVeno1a0JcBntfWBAQEVGhMdCRorKlER6+iRE6ilYzlCjxm/N5fBa6FaLgeKHjFAu5UugEJVOEOAEz7K9Bx1OCH97VQ8t/IoDHz4WOVWrp1/tE6AhFggUBEREVqjoVTVgQCGi4/XOMSNoI2atnQkcpVnIlK4LsJIsUWGV1C6u6Az2ja6HzJRVkV+4KHavUMahXT+gIRYIFARERFao6FU2x+0qQ0DG0TgOTGKy22A2r16eEjiIIuSJV6Ailxm7jB9jdBmjZvBK+vWkC439vAal8/3JD/xP2EBAREeWIE4uLl1yainVO59AkZDtEr8v2g7myI09NFjpCqfO3/kv83QSoVr8cfnpYEXan70EVFyd0rBJLx9ERUnNzoWMUCRYERERUqKrZGEOuK0VMEu84FrVf7Z9gcOJGyF69FDqK4OQpfCBefj2QhWFkrTBYVTfC8MBGqP7XUyjDwoWOVeLol9HhQgALAiIiKmQSsQjNKlvgz7tc0aSoNDWLwkrTnbAI+VvoKCWGPDkB0O5HERTYW0kspjhdg973Ugx50wBNz76F6nmg0LFKDIMyOqEYYEFARERFoKWLFQuCImAiS8V6x7/R8PUOiEKShI5TosiT4lgQFJJEUSoW29yAqBfwTZQr2l9IhuTmA6FjCU6/Xn2hIxQZkUrF51sTEVHhCo5MwKdzTwsdo0wZ7/AI38dvgDSGE7YzEya3gns5PaFjlFnt4p3R+5oBDC/cBhQKoeMUO6mlJar8+4/QMYoMewiIiKjQlTfVR2UrIzx5Gyt0lFKvhXkklhr7wjz0nNBRSjR5fBQAFgRF5U+DZ/izOeDayAY/3rOF1Zk7UCVqz7wNIzc3oSMUKRYERERUJFq6WLIgKAALnRSsdziNT177QRTKFXRyoqtIgo5YB8lKvldF6ZbOGwyt+wYVaplg+HNXOJ96BFVEpNCxipyRu7vQEYqUWOgARERUNrV0sRQ6Qqk1xekBLhtPQL1XWyFS8AI3t+QyQ6EjaI0gaRTGVbmGgYNScL1fQ4gq2gkdqciI9PRg2Kyp0DGKFHsIiIioSDR2Noe+TIKEFO0bb5xfHhYRWCz3gWnIBaGjlEpyqT7CkyKEjqFVYsRJmFP+OiTfiDAw/BO0OhcD8b0nQscqVIZNm0KsV7aHo7GHgIiIioSuVILGzmXzIT6FzUo3BYeqHMfGhJ9hGspiIL/kkrJ90VaSKaDCeovb6N35BXYMq46kJrUBkUjoWIXCyKNsDxcCWBAQEVER4rChnE13uoeLRuPg+mo7RMoUoeOUanIx1x0tCQ7JH+Nb9/tYNMoekW3qQ6SjI3Sk/BOJIC/jE4oBFgRERFSEWlWzFjpCidW23HvccliGfiEzIYkLFTpOmSAXcSR0SXJJNxiDGtzEuJEmeNWlEURyudCR8kyvdm1ILcv+jQ3+5hARUZGxtzBAnYqmuPkqUugoJYatXjI2VDyBGsG7IYpNFTpOmWLE+5wl0jNpBH6tFgEzF30Mf9UQtU+/hCr0rdCxckWuBcOFABYERERUxL6qa8eCAIBIpMIspzvoHbkB4lfvhI5TJhnzUaslWoQ4AdMdrkOnvwQ/vKuHlv9EAI+fCx0rW2V9udF0LKWJiKhIdXS1g0RcNiYX5ldHyzDcqrgEfV/PgTiexUBRkStZEZQGySIFVlndQs/ur7B3aC2kNKgpdKRMySpWhF7VqkLHKBbsISAioiJlKddFs0oW+PdxmNBRil15vSRsrPgHqgbthSiGy68WNSMFh2CVNruNH2B3G6Bl80r49qYJjP+9BaSWjO+jSadOQkcoNiwIiIioyH1Vt7xWFQQikQrznW6iW8QmiF9pz9ctNHkqV2kqrf7Wf4m/mwDV6pfDTw8rwu70Paji4oQLJBLBpEsX4c5fzDhkiIiIily7WjbQk2nHPzlfWb/FnQoL0OP1fIgTWAwUJ+OUJKEjUAE9kIVhZK3rGDpMioe9G0FczkKQHAaNGkGnQnlBzi0E7fjrTEREgjLSlaJV9bK9BKm9fiJOVjmAJdG/wPDdDaHjaCV5coLQEaiQvBXHYYrTNXzzfRz8BzSAyMm+WM9v2lV7egcAQKRSqTgDh4iIitzJe2/ww7YrQscodBKREosq3UCn8E0QJ7wXOo5We2xdFV0NWBSURSIV8E1UDbS/kAzJzQdFei6xoSGqnPsXYn39Ij1PScI5BEREVCzcqlrC1ECGyPiyM867h00opkk3wyDottBRCIA8MQYw4KVNWaQSAdtN72F7e6Cdmwt6XzOA4YXbgKLwJ+vLv/hcq4oBgAUBEREVE5lEjE517LDt4kuhoxRYJYMErLc7Aqeg3yECO9pLCuOEKADCjDmn4vOnwTP82RxwbWSDH+/ZwurMHagSEwvt+KZduxbasUoLDhkiIqJi8+RtDNos+Qel9V8emViFJc5X0D5sM8SJkULHoUx84uyMVFXJWLaSikeFVBMMf14JzqceQRURWaBj6Tg6otIfxwsnWCnCScVERFRsKlvJ0bxyOaFj5MvXtq9xy3Y2OgYtYTFQghnKDISOQMUsSBqFcVWuYeCgFFzv1xCiCnb5PpbJV18VXrBShD0ERERUrE7df4PvtpaeycUuhglYb3sQ9kGHOTyoFPiiZiMExYcKHYMEJIEIA8NrodW5GIjvPcnDjhJUPvUXZDY2RReuhGIPARERFSuPalZwtCj5d3F1xUqsqXwJf0pHwSHoEIuBUkIu0RM6AglMARXWW9xG784vsGNYdSQ1qQ2IRDnuJ2/bRiuLAYAFARERFTORSIRvmzoKHSNbnnbBuGkzE58HLYMoKVroOJQHcrGO0BGoBDkkf4xv3e9j0Sh7RLapD5FO1j8fFv37F1+wEoarDBERUbHr2aACFp94iLjkwl8ysCCqG8Vjnc0BVAw6KnQUyie5iJc2lNEl3WBcahAM57pmGPrECfZ/3YcqJkb9un7dutCvU0fAhMJiDwERERU7uZ4M3epXEDqGmr5EgY1VLuKY+GcWA6WcXCQROgKVYM+kEfi12jUMGgLc6dsQIhsrAIC5FvcOAOwhICIigXg2c8R2/5eCL0H6fYVXGKvYAJ1Xj4UNQoVCrsp5rDhRhDgB0x2uQ6e/BL/Gt0K1Nq2FjiQoFgRERCSISpZG+KyKJf559E6Q87sax2KN5X7YBf8hyPmpaMhVSqEjUCmSLFJA7NEcIol29yxxyBAREQlmiFulYj+noUSJLVXO4aBqFIuBMkiuKFnzUqhkM9czR5cqXYSOITj2EBARkWCaOFugWSULXHgaXizn+6niC4xK2QCdV8+K5XxU/OSpfEox5d63Nb6FrkRX6BiCYw8BEREJ6te2LkV+jnomMfB33oxx7yZCJ5LFQFkmT00WOgKVEkYyI/Sq2kvoGCUCCwIiIhJUfQdztHCxLJJjG0oV2FHlb+xT/Ayb1yeL5BxUssiTE4SOQKVEn2p9INeRCx2jRGBBQEREgvu1TeH3Eoy0f4YbFl5o/motRKm8SNQW8qR4oSNQKWCqa4oBtQYIHaPE4BwCIiISXJ2Kpmhd3Qp/3X9b4GM1Mo3GKvPdsHx9uhCSUWkjT44F9IVOQSXdD7V/YO/AB9hDQEREJcKoNi4QFWAJeRNZKnZWOY1dqT+zGNBiRglRQkegEq68UXn0qdZH6BglCgsCIiIqEWramaBdDZt87Tva4Qmumk1Ck1cbIEpNLORkVJrIE2MgAh9ORlkbWncoZBKZ0DFKFA4ZIiKiEmNUGxecuBcKZS6fXtzcPArLTHbCIuTvog1GpYZYpYShzACxKXFCR6ESqJp5NXR07ih0jBKHPQRERFRiVLWRo1MduxzbmclSsdflL2xP+pnFAGUglxoIHYFKqFH1RkFUkLGJZRQLAiIiKlHGf1EdBjqSLF+f6PgQAaYT0CBwE0SKpGJMRqWFkURP6AhUAjWxbYJm5ZsJHaNEYkFAREQlio2JHn5qWSnDdjfzCFx3XIVBodMgjQkWIBmVFnI+eZY+IoIIo+qPEjpGicWCgIiISpwfWjijonna2pGWOik44PInNif+DLPQ8wIno9LAWMQJo6Tpc6fPUcOihtAxSixOKiYiohJHTybBpPY18Pr8DnjGbIAkMEToSFSKyEW8vKH/M5QZ4pf6vwgdo0TjbwwREZVIn9eyAa5fAEJYDFDeGOVylSrSDsM/GQ4bw/wtaawtOGSIiIhKrvYLACkniFLeyFkQ0H9cy7nyIWS5wIKAiIhKLotKQHNOBKS8MVYqhI5AJYBUJMXUZlMhFvFyNyd8h4iIqGRrPgowdxY6BZUi8tRUoSNQCeBZ0xMuZi5CxygVWBAQEVHJJtUFOiwSOgWVIkapyUJHIIHZy+3xU92fhI5RarAgICKikq+SB1B/gNApqJSQpyQKHYEENqXpFOjyeRS5xoKAiIhKh3azOHSIcsU4OUHoCCSgTpU6oYltE6FjlCosCIiIqHTQMQS6rANEEqGTUAlnlBQrdAQSiJmuGcY0GCN0jFKHBQEREZUeFRsCn/EBQ5Q9eUK00BFIIFOaToGpnqnQMUodFgRERFS6tBwH2NYVOgWVYCwItFNPl55o49BG6BilEgsCIiIqXSQyoOs6QKovdBIqoWTKFOhL+EA7bVLFrArGNhordIxSiwUBERGVPpZVgdbeQqegEsxIZiB0BCom+lJ9LGixgKsKFQALAiIiKp0a/wg4uwmdgkoouYQ9SNpibMOxqGRaSegYpRoLAiIiKp1EIuCr3wB9M6GTUAkk55AhrdDOsR26u3QXOkapx4KAiIhKL2M7oNtGLkVKGcjFMqEjUBErb1QeU5tOFTpGmcCCgIiISrfKrYBWXkKnoBJGLpIKHYGKkFQkxbwW8yDXkQsdpUxgQUBERKVf85+Bml2FTkEliBwioSNQERr2yTDUsawjdIwygwUBERGVDZ1XAda1hE5BJYRcJXQCKipfOH6B72p/J3SMMoUFARERlQ06BkBvH04yJgCAkUIpdAQqAq7lXDGj+QyhY5Q5LAiIiKjsMHMEum/iJGOCsSJV6AhUyGwNbbHMYxmfN1AEWBAQEVHZUskDaM2VR7SdPDVF6AhUiAykBljhsQLl9MsJHaVMYkFARERlz6cjOclYy8lTk4SOQIVELBJjXot5qGpeVegoZRYLAiIiKps6rwIqNBQ6BQnEKDle6AhUSEbVGwW3im5CxyjTWBAQEVHZpGMA9N0NWFYTOgkJwDgpTugIVAi6VumK/rX6Cx2jzGNBQEREZZeBOfDtAcDEXugkVMzkiTFCR6ACamjTEJObTBY6hlZgQUBERGWbsV1aUWDAyYjaRJ4QLXQEKoBq5tWw1H0pZGKZ0FG0AgsCIiIq+8pVBr7ZC+jIhU5CxUQvJYEXk6VUJZNKWNdmHYx1jIWOojVYEBARkXaw+wTo4wtwDXOtIZcZCh2B8sjB2AEb2m2AmR4fMFicWBAQEZH2cGoBdNvAB5dpCbnUQOgIlAfljcpjQ9sNfNaAAFgQEBGRdqnRCei4ROgUVAyM2BtUalgZWGF92/WwMbQROopWYkFARETap74n8PlcoVNQEZNzDkGpYK5njg1tN6CivKLQUbQWCwIiItJOTX4CvlwOiPhPYVklF7EgKOlMdE2wvu16OJk4CR1Fq/GvIBERaa/6nkDX9YBYKnQSKgLGvMwp0eQyOda2WQsXMxeho2g9/qYQEZF2q90d6Lmdqw+VQUYqoRNQViz1LbH5882oaVFT6CgEFgRERERAtfZA310Al6ksU+RKVgQlkYOxA7a3346q5lWFjkL/YUFAREQEAJXc055orGsidBIqJHJFqtAR6CM1LWpi2xfbUN6ovNBR6AMsCIiIiNLZNwY8DwEGFkInoULAgqBkaWrbFJvabYK5nrnQUegjLAiIiIg+ZFcXGHAckNsJnYQKSJ6SJHQE+s8XTl9gVetVMJDxYXElEQsCIiKij1lWBX44DdjVEzoJFYA8OUHoCATg6+pfY95n8yDjcyFKLBYEREREmTG2TespqNVd6CSUT/KkOKEjaL2R9UZifKPxEIlEQkehbLAgICIiyopMD+i+EfCYAoAXNKWNMQsCwehL9bGgxQJ8X/t7oaNQLohUKhXX5CIiIsrJ/SPAgR+B5Fihk1AuxerK0dTOTOgYWsdebo8l7kv4wLFShD0EREREuVG9IzDwT8DEXugklEuGSbGQiCRCx9AqLSq0gF9HPxYDpQwLAiIiotyyqQUMOgPYNxU6CeWCCCoYclWbYiGCCIPrDMZKj5Uw1jEWOg7lEQsCIiKivDAsB/Q7BNTrJ3QSygW5VF/oCGWeXCbHco/lGFp3KCcPl1IsCIiIiPJKqgN0WgF028gnG5dwcgkLgqJU2bQyfDv4wq2im9BRqABYEBAREeVX7e7A4H+Bio2FTkJZkIt1hI5QZrVzbAef9j5wNHEUOgoVEAsCIiKigjBzSHteQcvxACewljhyPgyr0BlIDTC92XQsbLmQTx4uI1gQEBERFZRYArhPAAYc4ypEJYwRL3UKlaulK/Z+uRddqnQROgoVIv6WEBERFRb7JsBP54CaXYVOQv8xVnGSa2GQiqQYUmcItn2+DRWNKwodhwqZVOgAREREZYqeCdBjM1C5NXB8LB9kJjC5ks9fLajKppUxs/lM1LSoKXQUKiLsISAiIioKn3wN/HQeqNxG6CRaTa5UCh2h1JKIJPih9g/Y3XE3i4EyjgUBERFRUTFzBL7ZC/TYAshthU6jlYwUKUJHKJUqmVTCjvY7MKLeCMgknJhd1nHIEBERUVGr2SVtCNHpmcDldYCKd62Li3FKstARShUDqQEG1xmMb2p8AxlXaNIaIpVKxcF1RERExeX1deDwz0DIDaGTaIXL/2vv7kLrLg84jv+S2KQ2SZs0a9OTFG21Xd9QY9M3u4Fj+FKz7cJeKB3CGBsbBBHBXcybgReDwWCwwdiF4M0QFMa82I0vY4y9KtY5dW7DqlOr07q1tVXTJSbpLg74smGZtstzcp7PB/6cQEjOj1ydL/+c86zbma90HCk9Y1GYWD+R23bcltXLVpeewgITBACw0Obnk0fvbN4xmD5Zek1b+3Nja25c6o3dZ7JpcFNu3317xofHS0+hEEEAAKW8+Vpy/zeTp+8rvaRtHV55QSZWlF7RmpZ3L8/Nl9+cGz55Q7o6HapXM0EAAKW99HDy0LeSw4+UXtJ2Tpw/kE+vWV56Rkvp7OjM/o37c8vlt2Rw6WDpObQAQQAAreIvP0t+fkdy9FDpJW1jrqMrY+tGS89oGXsae3Lr+K0+RpQPEAQA0ErmZpPHf5z86rvJyVdKr2kLuzduztTsVOkZRe1u7M7kZZPZPry99BRakCAAgFY0O50cvCv59feSt18vvWZRu2rr9hw59c/SM4rYtWZXJscmvWGYMxIEANDKZqaaZxf89vvJqWOl1yxK11/yqTz71uHSMxbUjuEdmRybzM41O0tPYREQBACwGMy8nTx+d/LIj5Jjz5des6h8aeyz+cOJZ0vPWBDjw+OZvGwyuxq7Sk9hEXFSMQAsBt29ye6vJTu/mjxzf/L7HyYv/qb0qkWhr6O9T9zt6ujKlWuvzE1bb3JHgI9FEADAYtLZmWyeaF6vPtEMgz/9NJl/p/SyltXf0Z6fsT/YM5j9G/fnxk03ptHXKD2HRcy/DAHAYnfy1ebJxwfvSk4dL72m5Xx7++dzz/EnS884Z7YNbcuBzQdy3frr0t3VXXoObUAQAEC7mJlKnrw3+ePdycuPll7TMn4w9rnceeKp0jPOSndnd65Zd00ObD6QS1ddWnoObca/DAFAu+heluz4cvM6+lwzDp68Nzn+QullRfXPz5We8LFtHNyYifUTuX7D9Rk6f6j0HNqUOwQA0O5eejh54p7k6fuSf71Res2C+8m2q3LH1DOlZ/zPLlx+Ya5dd20m1k/k4oGLS8+hAoIAAGoxO50880DzrsGhB5O5mdKLFsQDm67MN2b+VnrGGa3pXZN96/Zl3/p92Ta0rfQcKiMIAKBGU8eaUXDoweS5X7T1m5F/t353vp5XS8/4L0NLh3L1hVdn4qKJjK0aS0dHR+lJVEoQAEDt5ueab0I+9FAzEF57Kkn7vDx4avSSfLH7ROkZWdK5JGOrx7J3ZG+uaFyRLUNb0tnRWXoWCAIA4D+8+dp7cfD8L5Ppk6UXnZUXPnFRvtA/W+S5NwxsyJ7Gnuwd2Zvx4fEsW7KsyA44E0EAAHy4udnklYPNOwgvH0xeeSw5cbj0qo/kaN+qfGbV+QvyXI3eRrYPb8/ekb3Z09iT1ctWL8jzwtkQBADAR/PmkQ9Gwt8fT2beKr3qQ8109WT8guFz/ntHekeydWjru9eWoS1ZuXTlOX8e+H8TBADA2ZmfT/7x12YkHHk6Ofps8xyEN15KTrfGGQA7NmzM9Nz0x/rZzo7ONHob7734X9l88T+4dPAcr4QyHEwGAJydzs5keGvzer+5d5LjLybHnmsGwvsfT7ycnJ5fsIn95/WeMQgGegYy2jfavPpHs7Zvbdb2rc1o/2hGekeypGvJgm2FheYOAQCw8Gank7deT04dS6aONj8G9dTx976eOvq+7x1vnplwej7J6ebju9fpDz7mdHLe0qSnP+nuS3r6ku7efOeiSzPddV5WdK/IQM9AVvQ0H0f6RjLaN5q+7r7SfxEoRhAAAEDFfPgtAABUTBAAAEDFBAEAAFRMEAAAQMUEAQAAVEwQAABAxQQBAABUTBAAAEDFBAEAAFRMEAAAQMUEAQAAVEwQAABAxQQBAABUTBAAAEDFBAEAAFRMEAAAQMUEAQAAVEwQAABAxQQBAABUTBAAAEDFBAEAAFRMEAAAQMUEAQAAVEwQAABAxQQBAABUTBAAAEDFBAEAAFRMEAAAQMUEAQAAVEwQAABAxQQBAABUTBAAAEDFBAEAAFRMEAAAQMUEAQAAVEwQAABAxQQBAABUTBAAAEDFBAEAAFRMEAAAQMUEAQAAVEwQAABAxQQBAABUTBAAAEDFBAEAAFRMEAAAQMUEAQAAVEwQAABAxQQBAABU7N/q7UTYyHUvOAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#display avrage price sorting by manufacturer\n",
    "\n",
    "display_by_manufacturer = df['manufacturer'].value_counts()\n",
    "\n",
    "comp_price= df.groupby('manufacturer', as_index=False)['average_price'].mean()\n",
    "comp_price.sort_values(by=\"average_price\", inplace=True, ascending=False)\n",
    "\n",
    "labels = ['Apple', 'Asus', 'Dell', 'Lenovo', 'HP']\n",
    "\n",
    "figure1, arr1 = plt.subplots(figsize=(8, 4))\n",
    "figure1.subplots_adjust(0.4,0,1,1)\n",
    "\n",
    "#dropping where NAN\n",
    "comp_price = comp_price.drop(5)\n",
    "print(comp_price)\n",
    "\n",
    "p, t = arr1.pie(comp_price['average_price'].tolist(), startangle=90)\n",
    "\n",
    "plt.legend(\n",
    "    loc='upper left',\n",
    "    labels=['%s,average Price =%1.1f₪' % (\n",
    "        l, (v)) for l, s, v in zip(labels, comp_price.index, comp_price['average_price'].tolist())],\n",
    "    prop={'size': 11},\n",
    "    bbox_to_anchor=(0.0, 1),\n",
    "    bbox_transform=fig1.transFigure\n",
    ")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4a359835",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}