us car analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "68567610",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Matplotlib is building the font cache; this may take a moment.\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "82fe3ee3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"USA_cars_datasets.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "56866cbf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>price</th>\n",
       "      <th>brand</th>\n",
       "      <th>model</th>\n",
       "      <th>year</th>\n",
       "      <th>title_status</th>\n",
       "      <th>mileage</th>\n",
       "      <th>color</th>\n",
       "      <th>vin</th>\n",
       "      <th>lot</th>\n",
       "      <th>state</th>\n",
       "      <th>country</th>\n",
       "      <th>condition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>6300</td>\n",
       "      <td>toyota</td>\n",
       "      <td>cruiser</td>\n",
       "      <td>2008</td>\n",
       "      <td>clean vehicle</td>\n",
       "      <td>274117.0</td>\n",
       "      <td>black</td>\n",
       "      <td>jtezu11f88k007763</td>\n",
       "      <td>159348797</td>\n",
       "      <td>new jersey</td>\n",
       "      <td>usa</td>\n",
       "      <td>10 days left</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2899</td>\n",
       "      <td>ford</td>\n",
       "      <td>se</td>\n",
       "      <td>2011</td>\n",
       "      <td>clean vehicle</td>\n",
       "      <td>190552.0</td>\n",
       "      <td>silver</td>\n",
       "      <td>2fmdk3gc4bbb02217</td>\n",
       "      <td>166951262</td>\n",
       "      <td>tennessee</td>\n",
       "      <td>usa</td>\n",
       "      <td>6 days left</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>5350</td>\n",
       "      <td>dodge</td>\n",
       "      <td>mpv</td>\n",
       "      <td>2018</td>\n",
       "      <td>clean vehicle</td>\n",
       "      <td>39590.0</td>\n",
       "      <td>silver</td>\n",
       "      <td>3c4pdcgg5jt346413</td>\n",
       "      <td>167655728</td>\n",
       "      <td>georgia</td>\n",
       "      <td>usa</td>\n",
       "      <td>2 days left</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>25000</td>\n",
       "      <td>ford</td>\n",
       "      <td>door</td>\n",
       "      <td>2014</td>\n",
       "      <td>clean vehicle</td>\n",
       "      <td>64146.0</td>\n",
       "      <td>blue</td>\n",
       "      <td>1ftfw1et4efc23745</td>\n",
       "      <td>167753855</td>\n",
       "      <td>virginia</td>\n",
       "      <td>usa</td>\n",
       "      <td>22 hours left</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>27700</td>\n",
       "      <td>chevrolet</td>\n",
       "      <td>1500</td>\n",
       "      <td>2018</td>\n",
       "      <td>clean vehicle</td>\n",
       "      <td>6654.0</td>\n",
       "      <td>red</td>\n",
       "      <td>3gcpcrec2jg473991</td>\n",
       "      <td>167763266</td>\n",
       "      <td>florida</td>\n",
       "      <td>usa</td>\n",
       "      <td>22 hours left</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  price      brand    model  year   title_status   mileage  \\\n",
       "0           0   6300     toyota  cruiser  2008  clean vehicle  274117.0   \n",
       "1           1   2899       ford       se  2011  clean vehicle  190552.0   \n",
       "2           2   5350      dodge      mpv  2018  clean vehicle   39590.0   \n",
       "3           3  25000       ford     door  2014  clean vehicle   64146.0   \n",
       "4           4  27700  chevrolet     1500  2018  clean vehicle    6654.0   \n",
       "\n",
       "    color                  vin        lot       state country      condition  \n",
       "0   black    jtezu11f88k007763  159348797  new jersey     usa   10 days left  \n",
       "1  silver    2fmdk3gc4bbb02217  166951262   tennessee     usa    6 days left  \n",
       "2  silver    3c4pdcgg5jt346413  167655728     georgia     usa    2 days left  \n",
       "3    blue    1ftfw1et4efc23745  167753855    virginia     usa  22 hours left  \n",
       "4     red    3gcpcrec2jg473991  167763266     florida     usa  22 hours left  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "858cdd39",
   "metadata": {},
   "source": [
    "# Q1. Top 5 Car brands in terms of number of cars"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3f9f3181",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='brand'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = []\n",
    "\n",
    "for brand in df['brand'].unique():\n",
    "    data.append([brand , len(df[df['brand']  == brand])])\n",
    "\n",
    "pd.DataFrame(data,columns = ['brand','freq']).sort_values(by='freq', ascending=False).head().plot(x = 'brand', y = 'freq', kind = 'bar', figsize = (5,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "775dfe61",
   "metadata": {},
   "source": [
    "# 2.Car brand based on Frequency of Cars"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b57605e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='brand'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = []\n",
    "\n",
    "for brand in df['brand'].unique():\n",
    "    data.append([brand , len(df[df['brand']  == brand])])\n",
    "\n",
    "pd.DataFrame(data,columns = ['brand','freq']).sort_values(by='freq', ascending=False).plot(x = 'brand', y = 'freq', kind = 'bar', figsize = (10,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59528603",
   "metadata": {},
   "source": [
    "# 3. Car Industry Trend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2408a27e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='year'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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3vHGsj/s/fRnXvPOiId0XK5eSn4jISDz7Whe7O0/wrT+/jKsXDy3wQXmM8xMRGbGOnjgA713QNKz7FPxEpKId7k7QEAszoW54lc1YJDfURau6iEgFOtKTYObkcZgVmgMxOJX8RKSidfTEmTmpftj3KfiJSEU73JMYVfBLqtorIpUmmc5y7GQ/MyeNG/a9A0NdSrCJkYKfiJRUZ28C56Bl8vBLfpEg5/aKiIxGR08CgItGUPJTm5+IVKzcGL+WEbX5+dPb1OYnIpUmV/KbOXn4JT8zIxo2lfxEpPIc6UkwoS5C4zAHOOdEwyF1eIhI5TncHWfmCDo7cqLhkPbtFZHK09GTGFFnR040HApsGXsRkRHr6EmMqLMjJxY2VXtFpLL0pzMjHuCcE42E1OEhIpWls6cfYERT23Ki4ZBWdRGRypIb4zfaDg+1+YlIRRkY4zeqDg+N8xORCnM6+I222qvgJyIVpKMnzsT6CA0jHOAMfsmvBLu3KfiJSMkc7k7QMoJpbfnU5iciFedIb5yLRlHlBW9Nv3RWwU9EKkhHd2JUnR2Qm9uraq+IVIhEKsPxvuSoZneABjmLSIXp7M0tYjrK4Bc2tfmJSOU43O0Fv9F2eMQ01EVEKsmRXm92x+hLfpreJiIVZKDkN8oOj4hWdRGRStLRE2fy+CjjYuFRPSemcX4iUkmO9CS4aOLoqryg6W0iUmGKMbsDvOCXdZAp8lL2Cn4iUhIdPfFRLWiQE42UZuNyBT8RKbpEKsNbp1JFCX6xEm1cruAnIkVXjHX8cqIDwU/VXhEpc8VYwTknqpKfiFSKju5ilvy8Nr9kkcf6KfiJSNENlPyK0eYXUclPRCpER0+CKeOj1EdHN8AZ1OYnIhWko2f06/jlREIa6iIiFeJwd5yWInR2gLeeH1D0KW4KfiJSdEd6E6NezSVnYJyfOjxEpJzFkxm6T6WKVu1Vm5+IVIRcT2/Rqr3+UJdUkTcxUvATkaLKze64aGKRS35jXe01s9lm9oyZ7TKzHWZ2m39+qpk9ZWZ7/NcpeffcaWZ7zWy3mV1d1BSLSFk73F3ckt/pcX5jX+1NA3/rnHsH8B7gFjNbBNwBbHTOLQQ2+u/xP1sNLAauAe43s9EP9hGRinDEL/nNKMJafhDg9DbnXIdz7mX/+ASwC5gFrAIe8i97CLjWP14FPOKc63fOvQHsBZYXNdUiUrYOvHmKpoZYUQY4Q970tiIHv8hwLjazucAy4AVghnOuA7wAaWbT/ctmAb/Nu63dPyciVepIT4L12w7xxJbD7Oro5fK5Uy580xCVakmrIQc/M2sEHgO+4JzrNbNBLy1w7pzKupmtAdYAzJkzZ6jJEJEy8ovtR/j+b3/Pc68fwzlYMnsy96xczMolLUX7jkiJOjyGFPzMLIoX+B52zj3un+40s5l+qW8mcNQ/3w7Mzru9FTh89jOdcw8CDwK0tbUVf186ESmpg2+e4ubvb2b21HH89QcXcu3SFuY3Nxb9ewaGuox1h4d5RbzvALucc1/L+2g9cIN/fAOwLu/8ajOrM7N5wELgxeIlWUTKwcsH3gLggesv428+/PaSBD443eERRJvf+4A/B141s63+ub8Dvgw8amY3AgeA6wCcczvM7FFgJ15P8S3OuUxRUy0igdt2sIf6aIi3z5hQ0u8pVW/vBYOfc+7fKdyOB3DVIPesBdaOIl0iUua2HnyLd7ZMGghOpRIOGeGQkdb0NhEJWiqTZfvhXpbOnjwm3xcNm5a0EpHg7T5ygmQ6y5IxC34hLWklIsHberAbYMxKfrFwSCU/EQnetoPdTG2I0TqlOIsXXEg0HCKVVpufiARsW3s3S1oncZ7JDkUVjajNT0QCdrI/zZ6jJ1k6u3hT2C5EbX4iErhX2rv9qWyTxuw7oyG1+YlIwLYd7AFgSevkMftOr9qrNj8RCdC2g91c3DSeKQ2xMfvOqHp7RSRoXmfH5DH9TgU/EQlUZ2+Cjp7EmA1uzvHG+anaKyIB2TbGg5tzNL1NRAK19WA3kZCxuGXimH5vNBwiqU3LRSQo29q7uWTmhKLtzzFU0Yja/EQkINms45WDPWPe2QFq8xORAO071seJ/vSYd3aA2vxEJEC5zo5lAQS/iIa6iEhQtrV301gXKdleHecTU4eHiARl68Fu3jVrEuHQ2Kzkks+r9qrNT0TGWCKVYVdHbyDtfeANdUlnVfITkTG2q6OXVMaxdAxXcskX9Xt7nSte6U/BT0Qu6BfbjwAEVvKLRXLbVyr4icgYcM7x1V/u5lvP7uNjS1qYOWlslq0/WzTstTMWs8d3KJuWi0gNymQd/33ddh5+4QCfbJvN//hP7wosLaXYuFzBT0TOkUxn+ZtHt/KzVzq46QPzueOaS8Zsv45CcsGvmEvZK/iJyBlOJdP81fdf5v+91sUdH7mEmz+wIOgkEQsXv81PwU9EBhx88xSf/+EWXm3v5iufeBefvHxO0EkCIJJr8yviQGcFPxEBYN3WQ9z1xHYw+Ob1l3H14ouCTtIAtfmJSNGdSKS4e90OHt9yiLaLp/D1Ty5l9tTxQSfrDGrzE5Gi2nqwm1t/uIX2t07xhQ8t5PP/8W1EwuU3Ai4WyQ11UZufiIzStoPd/Ok3f8OMifX86Kb3cvncqUEnaVC5kl9aJT8RGa2HfrOfcdEwP7/1CiaPH7ttKEeiFNXe8ivfikjJdZ9K8rNXO7h22ayyD3yQ3+Gh6W0iMgpPbDlEMp1l9fLZQSdlSAbG+RVxqIuCn0iNcc7xyIsHWdI6icUtwazSMlzRSPHn9ir4idSYlw90s7vzBKuXl8cA5qFQm5+IjNoPXzxAQyzMx5a0BJ2UISvF9DYFP5Ea0hNP8bNXDrNy6Swa6ypnsEdES1qJyGis33qIRCrLpyqkoyNnWmMdT91+JdMn1hftmQp+IjXCOcfDLxxgcctE3jWrMjo6cqLhEAtnTCjqM1XtFakR29p7+N2RE3xq+ZxA1+YrFwp+IjXikRcPMC4aZtXSyunoKCUFP5EacCKRYv22w3xsyUwm1EeDTk5ZUPATqQE/3tzOqWSmosb2lZo6PESq2I7DPXz9qdd4etdRlsyezLKAtp4sRwp+ImVu465O1v58Fxhcu3QW1y6dxZym8y82uqfzBN94eg8/f7WDifUR/suKt/MX75unjo48Cn4iZepQd5x71u9gw85OFk5vpKkxxteeeo2vPfUabRdP4dpls3j/wml0n0pxpDfB0d4Enb397Dl6gg07OxkfDXPrB9/Gje+fz6Rxauc7W8mCn5ldA/wzEAa+7Zz7cqm+S2SsHTvZz5OvdtCfzrKguZH5zQ20ThlPOHThklU26zjel6SzN0E665gxsY7mxrqBFZRTmSz/8tx+vv70a2Sd479dcwk3XjGPWCTEoe4467Ye4omXD3HXT7af8+xwyJgxoY4175/PTR9YwNSG8l+uKijmXPHmyg081CwMvAZ8GGgHXgI+5ZzbWej6trY2t2nTpqKnQ2pLJus4frKf+liYiRfo0cxmHZ0nErzVl6IvmeZkf5o+/ycaDjHfD2j5z4knM2zYeYQnthzi13uOkcme+X8nFgkxt2k8rVPGEzqreumcF/CO9iY4eqKf9Fn3mnmzGGZMrKOvP8Mbx/q46pLpfGnl4oL7aTjn2NnRy6vtPUxrrOOiSfVMn1hHU0PdkAJwrTCzzc65tkKflarktxzY65zb5yfgEWAVUDD4Ddfm37/Jm32pYjxKxoBzjv50lr7+XJDJ0JdM05/KML4uQqP/01AXoSEWJpnJetf0pznhB6RkgXXc0lnHsZP9dPYm6OxN0HWin1xMmdZYx4LmBuY3N7KguYGmxhj7j51i37E+Xj96kjeO9RFPZS6Y9uYJ3nMmj4vx6z1d9CUztEyqZ82V8/n4sllMa6xjX9dJXu86yb6uPl7vOklHT4JCZYqpDTEWLJjGjIl1zJhYz4yJ9URCRucJr7p6tDfBkd4E42MZ7vjIJaxYNGPQNjozY3FL5SxJVY5KFfxmAQfz3rcDf1ish3/1l6/x/L7jxXqcBKA+GiIWDnEqmTmnFHS2hliYWCR0TiAI+aWl6RPr+YMZE7zSz4Q6+pIZXj96kn3H+nhyewfdp7xflGbQOmUcC5obec/8JuY3N9DUEPOCbl2ECfXeazyZ8QNa30Bge/VQDx9b0sK1y2axfO5UQnmlq6kNU2kr4/0vpLBSBb9Cv67O+BduZmuANQBz5gxv7NHaj7+TU8kL/9aW8hGLhGjIlfBi4YH2rfxSYV9/hpP9aWKRkF8SDNMQi5wRaEbizb4kb/b10zplPPXR8JDuedv0xlF9p5S/UgW/diB/2YhW4HD+Bc65B4EHwWvzG87D5zfrH2a1MDPqo2Hqo2GaSvTXOrUhpoZ/OUepZni8BCw0s3lmFgNWA+tL9F0iIsNWkpKfcy5tZp8Hfok31OW7zrkdpfguEZGRKNk4P+fcvwH/Vqrni4iMhhY2EJGapOAnIjVJwU9EapKCn4jUJAU/EalJCn4iUpMU/ESkJpVkSathJ8KsC/h90OkokmnAsaATUQLKV2VRvjwXO+eaC31QFsGvmpjZpsHWD6tkyldlUb4uTNVeEalJCn4iUpMU/IrvwaATUCLKV2VRvi5AbX4iUpNU8hORmqTgdwFm9l0zO2pm2/POLTGz583sVTP7qZlN9M9Hzewh//wuM7sz757L/PN7zexeC3j36GHmK2Zm3/PPbzOzP8q7p9zyNdvMnvH//HeY2W3++alm9pSZ7fFfp+Tdc6ef/t1mdnXe+bLJ23DzZWZN/vUnzey+s55Vyfn6sJlt9tO/2cw+OOJ8Oef0c54f4ErgUmB73rmXgA/4x58F/tE//jPgEf94PLAfmOu/fxF4L97+Jk8CH6mgfN0CfM8/ng5sBkJlmq+ZwKX+8QS8LVQXAf8E3OGfvwP4in+8CNgG1AHzgNeBcLnlbQT5agCuAG4G7jvrWZWcr2VAi3/8TuDQSPMV2D/SSvoB5p4VJHo53V46G9jpH38K+CneIrFN/l/kVP8v+Hd5938K+FYF5et/AdfnXbcRb3vSsszXWXlch7d/9G5gpn9uJrDbP74TuDPv+l/6/4HKOm8XylfedX+RH/yqJV/+eQOO4/3iGna+VO0dme3ASv/4Ok5v1vRjoA/oAA4AX3XOvYm3lWd73v3t/rlyM1i+tgGrzCxiZvOAy/zPyjpfZjYXr6TwAjDDOdcB4L9O9y8rtM3qLMo4b0PM12CqKV+fALY45/oZQb4U/Ebms8AtZrYZr6ie9M8vBzJAC14V6m/NbD5D2MqzTAyWr+/i/WPaBHwD+A2QpozzZWaNwGPAF5xzvee7tMA5d57zgRpGvgZ9RIFzFZcvM1sMfAW4KXeqwGXnzVfJ9vCoZs653wErAMzs7cBH/Y/+DPiFcy4FHDWz54A24Nd423fmnLOVZzkYLF/OuTRwe+46M/sNsAd4izLMl5lF8f4jPeyce9w/3WlmM51zHWY2Ezjqnx9sm9V2yixvw8zXYCo+X2bWCjwBfMY597p/etj5UslvBMxsuv8aAu4CHvA/OgB80DwNwHvw2iE6gBNm9h6/B+ozeG0bZWWwfJnZeD8/mNmHgbRzbmc55stPx3eAXc65r+V9tB64wT++gdPpXA+sNrM6v0q/EHix3PI2gnwVVOn5MrPJwM/x2mmfy108onwF3cBZ7j/AD/Ha8FJ4v11uBG7D68x4DfgypzsJGoH/A+wAdgJfzHtOG16b2uvAfbl7KiRfc/EaoHcBT+OtlFGu+boCr7rzCrDV//ljvA6ojXgl1o3A1Lx7/t5P/27yegjLKW8jzNd+4E3gpP93vKjS84X3S7kv79qtwPSR5EszPESkJqnaKyI1ScFPRGqSgp+I1CQFPxGpSQp+IlKTFPxEpCYp+EnVMrNw0GmQ8qXgJ2XBzP4xt5ab/36tmd1qZl80s5fM7BUzuyfv85/467ntMLM1eedPmtk/mNkLeKuziBSk4Cfl4jv405n86XWrgU686WbLgaXAZWZ2pX/9Z51zl+GN6r/VzJr88w14y3T9oXPu38cw/VJhtLCBlAXn3H4zO25my4AZwBbgcryFFrb4lzXiBcNn8QLex/3zs/3zx/FW1XlsLNMulUnBT8rJt/EW37wIbxmtq4D/6Zz7Vv5F5i2j/yHgvc65U2b2K6De/zjhnMuMUXqlgqnaK+XkCeAavBLfL/2fz/prvWFms/yVZyYBb/mB7xK81XNEhkUlPykbzrmkmT0DdPultw1m9g7geX8vmpPA9cAvgJvN7BW8lVh+G1SapXJpVRcpG35Hx8vAdc65PUGnR6qbqr1SFsxsEbAX2KjAJ2NBJT8RqUkq+YlITVLwE5GapOAnIjVJwU9EapKCn4jUJAU/EalJ/x8dXfdfPF6+RwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = []\n",
    "\n",
    "for year in df['year'].unique():\n",
    "    data.append([year , len(df[df['year']  == year])])\n",
    "\n",
    "pd.DataFrame(data,columns = ['year','freq']).sort_values(by='year', ascending = True).plot(x = 'year', y = 'freq', kind = 'line', figsize = (5,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "538b1ff2",
   "metadata": {},
   "source": [
    "# 4. Most Populat Car Colours"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "be276ae3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='color'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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vNwFPXMjPHQgc2HHfIiIiIiIiIiKiB0vaZSwiIiIiIiIiIpYRSQhFRERERERERIyYJIQiIiIiIiIiIkZMEkIRERERERERESMmCaGIiIiIiIiIiBGThFBERERERERExIhJQigiIiIiIiIiYsQkIRQRERERERERMWKSEIqIiIiIiIiIGDFJCEVEREREREREjJgkhCIiIiIiIiIiRkwSQhERERERERERIyYJoYiIiIiIiIiIEZOEUERERERERETEiElCKCIiIiIiIiJixCQhFBERERERERExYpIQioiIiIiIiIgYMUkIRURERERERESMmCSEIiIiIiIiIiJGTBJCEREREREREREjJgmhiIiIiIiIiIgRk4RQRERERERERMSISUIoIiIiIiIiImLEJCEUERERERERETFikhCKiIiIiIiIiBgxSQhFRERERERERIyYJIQiIiIiIiIiIkbMYhNCklaUdK6kn0u6RNK76/a1JB0v6Vf165pDv/M2SVdKukLSU/v8B0RERERERERExNJZkhlC/wCeYHsL4GHA0yRtC+wPnGh7E+DE+hhJmwO7AA8CngYcJGm5HvY9IiIiIiIiIiKmYLEJIRf/Vx/evf4x8Gzg0Lr9UOA59e/PBo60/Q/bvwGuBB7RcqcjIiIiIiIiImLqlqiGkKTlJF0E3AAcb/sc4F62rweoX+9Zf/y+wDVDv35t3RYREREREREREbPA3Zbkh2zfCTxM0hrAdyQ9eBE/rslCLPBD0l7AXgDrr7/+kuzGyNtw/x8s1c9f/cFn9LQnERERERERETGXLVWXMds3A6dQagP9UdJ9AOrXG+qPXQvcb+jX1gOumyTW521vbXvr+fPnL/2eR0RERERERETElCxJl7H5dWYQklYCngRcDhwL7FF/bA/gmPr3Y4FdJK0gaSNgE+DcxvsdERERERERERFTtCRLxu4DHFo7hc0DjrL9fUlnAUdJ2hP4HbAzgO1LJB0FXArcAby2LjmLiIiIiIiIiIhZYLEJIdu/ALacZPtNwBMX8jsHAgd23ruIiIiIiIiIiGhuqWoIRURERERERETE3JeEUERERERERETEiElCKCIiIiIiIiJixCQhFBERERERERExYpIQioiIiIiIiIgYMUkIRURERERERESMmCSEIiIiIiIiIiJGTBJCEREREREREREjJgmhiIiIiIiIiIgRk4RQRERERERERMSISUIoIiIiIiIiImLEJCEUERERERERETFikhCKiIiIiIiIiBgxSQhFRERERERERIyYJIQiIiIiIiIiIkZMEkIRERERERERESMmCaGIiIiIiIiIiBGThFBERERERERExIhJQigiIiIiIiIiYsQkIRQRERERERERMWKSEIqIiIiIiIiIGDFJCEVEREREREREjJgkhCIiIiIiIiIiRkwSQhERERERERERIyYJoYiIiIiIiIiIEZOEUERERERERETEiElCKCIiIiIiIiJixCQhFBERERERERExYhabEJJ0P0knS7pM0iWS9q3b15J0vKRf1a9rDv3O2yRdKekKSU/t8x8QERERERERERFLZ0lmCN0BvMn2A4FtgddK2hzYHzjR9ibAifUx9Xu7AA8CngYcJGm5PnY+IiIiIiIiIiKW3mITQravt31B/fttwGXAfYFnA4fWHzsUeE79+7OBI23/w/ZvgCuBRzTe74iIiIiIiIiImKKlqiEkaUNgS+Ac4F62r4eSNALuWX/svsA1Q792bd02MdZeks6TdN6NN944hV2PiIiIiIiIiIipWOKEkKRVgW8B+9m+dVE/Osk2L7DB/rztrW1vPX/+/CXdjYiIiIiIiIiI6GiJEkKS7k5JBh1u+9t18x8l3ad+/z7ADXX7tcD9hn59PeC6NrsbERERERERERFd3W1xPyBJwJeAy2x/bOhbxwJ7AB+sX48Z2n6EpI8B6wKbAOe23Olob8P9f7BUP3/1B5/R055ERERERERERN8WmxACHgO8GLhY0kV129spiaCjJO0J/A7YGcD2JZKOAi6ldCh7re07W+94RERERERERERMzWITQrbPYPK6QABPXMjvHAgc2GG/IiIiIiIiIiKiJ0vVZSwiIiIiIiIiIua+JIQiIiIiIiIiIkZMEkIRERERERERESMmCaGIiIiIiIiIiBGThFBERERERERExIhJQigiIiIiIiIiYsQkIRQRERERERERMWKSEIqIiIiIiIiIGDFJCEVEREREREREjJgkhCIiIiIiIiIiRkwSQhERERERERERIyYJoYiIiIiIiIiIEXO3md6BWPZtuP8Plvhnr/7gM3rck4iIiIiIiIiAzBCKiIiIiIiIiBg5SQhFRERERERERIyYJIQiIiIiIiIiIkZMEkIRERERERERESMmCaGIiIiIiIiIiBGThFBERERERERExIhJQigiIiIiIiIiYsQkIRQRERERERERMWKSEIqIiIiIiIiIGDFJCEVEREREREREjJgkhCIiIiIiIiIiRkwSQhERERERERERIyYJoYiIiIiIiIiIEZOEUERERERERETEiFlsQkjSlyXdIOmXQ9vWknS8pF/Vr2sOfe9tkq6UdIWkp/a14xERERERERERMTVLMkPoK8DTJmzbHzjR9ibAifUxkjYHdgEeVH/nIEnLNdvbiIiIiIiIiIjobLEJIdunAf87YfOzgUPr3w8FnjO0/Ujb/7D9G+BK4BFtdjUiIiIiIiIiIlqYag2he9m+HqB+vWfdfl/gmqGfu7Zui4iIiIiIiIiIWaJ1UWlNss2T/qC0l6TzJJ134403Nt6NiIiIiIiIiIhYmKkmhP4o6T4A9esNdfu1wP2Gfm494LrJAtj+vO2tbW89f/78Ke5GREREREREREQsrakmhI4F9qh/3wM4Zmj7LpJWkLQRsAlwbrddjIiIiIiIiIiIlu62uB+Q9HXg8cA6kq4FDgA+CBwlaU/gd8DOALYvkXQUcClwB/Ba23f2tO8RERERERERETEFi00I2d51Id964kJ+/kDgwC47FRERERERERER/WldVDoiIiIiIiIiIma5JIQiIiIiIiIiIkZMEkIRERERERERESMmCaGIiIiIiIiIiBGThFBERERERERExIhJQigiIiIiIiIiYsQkIRQRERERERERMWKSEIqIiIiIiIiIGDFJCEVEREREREREjJi7zfQORHSx4f4/WOKfvfqDz+hxTyIiIiIiIiLmjswQioiIiIiIiIgYMUkIRURERERERESMmCSEIiIiIiIiIiJGTBJCEREREREREREjJgmhiIiIiIiIiIgRk4RQRERERERERMSISUIoIiIiIiIiImLEJCEUERERERERETFikhCKiIiIiIiIiBgxSQhFRERERERERIyYJIQiIiIiIiIiIkZMEkIRERERERERESMmCaGIiIiIiIiIiBFzt5negYjZaMP9f7BUP3/1B5/R055EREREREREtJeEUMQ06zPZtDSxk8SKiIiIiIgYXUkIRcQSSbIpIiIiIiJi2ZGEUETMuCSbIiIiIiIipleKSkdEREREREREjJjeZghJehrwSWA54Iu2P9jXc0VETCbFwSMiIiIiIibXS0JI0nLAfwNPBq4FfibpWNuX9vF8ERHTLcvcIiIiIiJiLutrhtAjgCttXwUg6Ujg2UASQhERi9Fnsqmv2LOle16fsWfLa91n7Myqi4iIiBgdst0+qPR84Gm2X1Efvxh4pO3XDf3MXsBe9eGmwBVL8RTrAH9qtLvTETexpzf2XNznuRp7Lu5zYk9f3MSevriJPb2x5+I+z9XYc3GfE3v64ib29MVN7OmNPRf3ea7Gnov7vLSxN7A9f7Jv9DVDSJNsG5d5sv154PNTCi6dZ3vrqfzuTMRN7OmNPRf3ea7Gnov7nNjTFzexpy9uYk9v7Lm4z3M19lzc58SevriJPX1xE3t6Y8/FfZ6rsefiPreM3VeXsWuB+w09Xg+4rqfnioiIiIiIiIiIpdBXQuhnwCaSNpK0PLALcGxPzxUREREREREREUuhlyVjtu+Q9DrgJ5S281+2fUnDp5jSUrMZjJvY0xt7Lu7zXI09F/c5sacvbmJPX9zEnt7Yc3Gf52rsubjPiT19cRN7+uIm9vTGnov7PFdjz8V9bha7l6LSERERERERERExe/W1ZCwiIiIiIiIiImapJIQiIiIiIiIiIkZMEkIRERFzkKQVlmTbbIsdERFzg6SNlmRbxLBcL8wtI58QkrTWJNuaHOgmi90oriTdr4/YEbF0ajfFFYceryRpw0axnz7Jtle1iD0X1WPf7pL+X328vqRHNIq9iqR5Q4/nSVq5QdyHT7LtWV3jVmct4bZZEVvSWov60yX20HNsK2m1ocerSXpki9h9kfShJdk2xdi9vR6Sdl6SbVOI+5gl2dYh/gaSnlT/vtLw6zObSdpO0svq3+eP6k25pOUkfa3H+H2eZ05ckm2zzLcm2fbNLgElbbWoP11iT/Jcq7SM14dpOjf2+b7+8oTHqwI/bBG7L32+Hn2S9ABJJ0r6ZX38UEnv7Bx3LhSVlnQv4P3AurafLmlz4FG2v9Qg9pnA023fWh9vDhxl+8ENYv8KuAg4BPiRG77Yks63vcCNRseYb1zU921/rNHzrGL7Ly1iDcVcDviJ7Se1jNsnSQJ2A+5v+z2S1gfubfvcGd61SU3X+6MPkl4OnG77Vz3EPg94tO3b6+PlgTNtb9Mg9k+Bd9o+qT5+K/B42wskimYbSSsB69u+omHMzwL/Ap5g+4GS1gSOa/Ranw08yfb/1cer1tiP7hj3AmAP2xfXx7sC+9me8k25pHsD9wW+BrwIUP3W6sDBtjebpbF/A7jGXB/4c/37GsDvbHe+wZV0IbDV4Hxbk3zn2W5yk9HT+/qCifsn6Re2H9ogdm+vx0L2e4FtsyVujfNKYC9gLdsbS9qE8r5+YoeYz13U921/e6qxh57jAGBrYFPbD5C0LnC07c6JMpWR/OcBGzLUfdj2exrE/ghwSONOw0j6CfCswXm3cezm5xmVQaOVgZOBxzP+uPoj2w/suM/HAzvbvrk+XhM40vZTO8TcDHgQ8GHgLUPfWh14i+0HdYh9cv3ripT39c8pr8lDgXNsbzfV2EPP8Wjgi8CqtteXtAWwt+3XdI1d428HbGL7EEnz6/P8ZoqxpuPc2Of103uBdWy/usb9AfAF24d0jV3jLwfci/HHp991jNnn67Ey8CbKtcIr63lmU9vfbxD7VMrn8XO2t6zbftk1b9FL2/kefIWSVHlHffw/wDeAzgkhSqLpe5KeAWwKfJVyk97CA4AnAS8HPi3pG8BXbP9Pg9hnS9rG9s8axBoYjJJtCmwDHFsfPws4rWvw4YMz0PTgbPtOSX+VdA/bt3SNN6xe7H0IuCflAK3ylF69Y+iDqAcj4D3AbZSRmC4XHd+jnFQmZXvHqcZm7P3RG0kPoBzoNmD8gf8JHUNvCOwuaQPgfOB0SoLooo5xAe42fFFq+/aaFGphR+D7kt4CPA3YrG5rQtJetj+/sMcd4j4L+AiwPLCRpIcB7+n4/gN4pO2t6k0utv/c8LVecZAMqrH/Tw1mCAHPB74paTdgO+AlwFM6xnwq8FJgPWA4EXsb8PbZGntwUSvpYOBY2z+sj59OOVe2oOHBF9v/ktTkWqf1+1rSq4HXAPeX9Iuhb60GnNlxd+96mtavR/3/+nfgvpI+NfSt1YE7OsR9FPBoYP6EAYjVgeWmGneC1wKPAM4BsP0rSffsGHMw4++elP0/qT7eATgF6JwQAnYCtgQuALB9ndrNbDoGuIVybvxHo5gDlwOfr++5Q4CvN7pGuxo4U9KxwF0DjI0Gpvo4z+wN7AesS3mdBwmhW4H/7hgbys34zYMHdZ+7vq83BZ5JSUoMz2q9DXhll8C2dwCQdCSw19CAyYOBN3eJPeTjlPPZsfU5fy5p+xaBhxO0lPf13SmDKFNK0E7TubG36yfb/ynpQ3X/Hw580PZkM8uWmqTXAwcAf6TcM0G5z+k6YNLn9eQhlM/5o+rja4Gjgc4JIWBl2+eWOQV3mfJ5d2CuJITWsX2UpLcB2L5D0p0tAtv+gaS7A8dRLsKe02oWQb0IOx44XtIOlIPFayT9HNjfdpfp9zsAr5J0NeVkOEhSTPkDYvvdAJKOo4wo3lYfv4vyRu6qt4Nz9Xfg4jpSMnyBsE/HuB+mjERd1jHORH0cjD5Svz4XuDflPQewK+UCasoG74+eHQ0cDHwBaPIZB7A9mBK6EuVC5i3AJ2hzk3GjpB1tH1uf49nAnxrExfafJO0InEA5uTx/+OauAS3m8VS9i3LTdQqA7YvUZhndP+tI0WC2w3zGLhC6+oukrWxfUGM/HPhb16C2r5K0C/Bd4BrgKbY7xbV9KHCopOe1uuiajthDtrF919JH2z+qI4wtXCVpH+Cz9fFrgKsaxX4Xbd/XRwA/Aj4A7D+0/Tbb/9sh7rA+Xo/rgPMoyenzh7bfBryhQ9zlKQNGd2P8AMStlMRqC/+oSXsAaqKi0zHV9mAZ1/eBzW1fXx/fhzY3+wC327akwbGv5TKY9Ww/rWG8u9j+IvBFSZsCLwN+oTIz/wu2T170by/SdfXPPNoPVjU/z9j+JPBJSa+3/ekG+zjRvyStP5g1UQe/ur6vjwGOkfSojvcri7LZIBlUn/OXNdHehO1rJtw4t7qu7CtB2+e5sfn7WuNnR54L/Gf9aknPdYPZkcC+lNk1NzWINazP68mNbb9QZUY4tv+mCW/EDv4kaWPG9vv5wPVdg86VhNBfJK3N2D9+W8poxpRJ+jTjD5arUy6SXi+pRRKBus+7Ay+mZDZfT0mGPIxy49tlCmCfS0bWB4an4d5OmWHRWY8HZyhTFH/QMN7AH3tIBkE/Fx2n1ljvtT2cbPuepM6zvGrsFYE9KVOJ76qdY/vlDcLfYfuzi/+xpaOyvvYxlJuNCykjUKc3Cv8q4HBJn6EkVK6hzAKZMkm3MTZ92JQbpfsDz5fUeXZafd/tY/vjw9ttf65L3CF32L6l3fnvLp8CvgPcU9KBlJvE/2wUez/gaEnX1cf3AV441WCSLmb8OWYtSgLynHqO6bwcyPa3VGa3Tvwsdl7q0WdsygXNOykJa1POk60u9l5FeZ+8s8Y+kbJEqIWm7+s6U+IWSsKeOqK/IrCqpFXdcUp81fz1sP1z4OeSjrD9z+67eFfcU4FTJX3F9m9bxZ3gVElvB1aS9GRKgux7jWJvOEgGVX+kzBRv4ShJnwPWUFn29nLKjOsWfirpIcM35i3V881m9c+fKMuD3ihpb9u7TCXm0ABm8xIETH6e6VyjA8D2p+ssmM0Zf1z9asfQ7wDOUFlOArA97Y57F0p6Lf1c810m6YuMPxe0ut6+RmVlgutg6z4NY/eVoO3z3NjH+3piPcQLKbOlnkXZ/xYJoWvoeM+/EL19zoHb6wD04P2xMe1mX74W+DywmaTfA7+hwcqmuZIQeiMlkbJxHVmYD3QtXHjehMfnT/pT3ZwFHEaZdXTt8HPXaXVTZvu3mmT9apeYQw4DzpX0HcqbeSfKUrqu+jw4Y/vQGndwAXZFo4vV81SW+32XoQ90g8x3nwej+ZLub/sqAJXik/MbxT6MMg38qZSlbrvR7v/xe5JeQ3ldhl/rrqPlz6VMqfwBcCpwtu2/d4wJgO1fA9uq1JzRYGZdx5i9Ls9zWWL5bMqsvT78UtKLgOVU1k7vA/y0a1Dbh0s6H3giJVn2nFbJWts/U6mZsGmNfXnH48czW+zXotTzyMqUGaNfpBxDmtQg6zM2JQFyAOVzbsqS5F1bBLZ9AzClm8wl0Mv7WmUp2scoy0luoCyZvYxyA9ZJz6/HhpI+wII3t/fvGPevkv6LBW9Auy4dhjITa0/gYsoynh/SLrFyikptm69T3te7UGrGdGb7IzWBdSvlGPX/bB/fIjZlKetLVeqY/IMGM84HJH2MMpPsROD9HquR+CFJU67DpbK88Ev0U4Kgt/OMylKjx1M+Mz+kDO6eQcdrbNs/VinGvC1ln99gu8lMZfq95nsZ8GrKLBAo54JWg4KvAj5JqYl3LWUlyGsbxZ4sQfuFBnH7PDc2f18PZkf27CrKsfUHjL8v6LQ8tM/POeX/8MfA/SQdThmQfmmj2Lb9pJqEnGf7NjVoMDBXikqvQJlJMrhQv4LyInTOttUX9O+276yPlwNWsP3XBrHHrd1vST0WGKzxtwIeWx+eZvvCBjHXoRycn0T5fzwO2LfVNEBJjwcOpSyNEnA/SjHXTjNjJE1WFM0tRkfqDejgYHRiw4uOp1EyyIOlARtSLpZ+0iD2hba3VC16qrLk8ictLtbrBelEbnCDgcp03u3qnxdQZn5NuXChpN1tf00LKbbd9WRVn2Mn4KQ6kwBJa1CKSn+3QewDgXtQ6rENL7G8oEHslSkjlk+hvLd/Ary3axJO0mG2X7y4bUsZ8wm2T9JCCsN2TfyqzGi9xGNLcFejLCs5p0vcGmvwGRx8XRX4tu2uNYp6jT30HKt6qG5Tx1j/YfvDWnD2L9Bk6fDE9zWMva87XYuoLCN/AnBCPbbuAOxqe8oj/NP0epxBufD9OGVE+GWU68oDOsY9jnJcejPlpm4P4Ebbb+22x/2rx+zB7NzTbH+nUdwPTfz3T7ZtirE3mGx7i1laKg0djpzsmlodaj5KOoeSpD7WDQur1jjrT7a9xYw9lZmjWwAX2t5CpWnOF21PqfOkpM1sX66FdOZqdD7v7Zqvxm9eqH861ATtXdc4DRO0Tc+NQzH7fF8fSrmfu7k+XhP4aKP7pEnPJ+5YxqLP16PGX5uxBO3ZrRK0mrzpQudGU3NlhtBZ9R9/V5cClc4tLbqGnEhJUAw+eCtREhWdOstU60j6D/oZ5eqzwCCUkeFbB7OPJG3kKVbPH6gfhlYFuyfzUUp9jiuAQYHir1MKnE1ZXxlwlVaSN1D2cbDt7i1mNdXRok0oU7ShzHZoNV1xsH83q0x9/gPtlhT20ka37udjgcdREqnX0H3J2GCKcJ+zeQ4YvqGwfXM9OX63QezBMW54CZApN6ad1Iv/dzDWCKCVcTMmagK/a7fFx1GKwE52Qd5iyvNnGX+u+ssk26ZqUIvor3VQ4Ca6LUWeltjqp8HAIJk+cfZvS8+wPe59rdJmvWuNvX/avknSPEnzbJ+s7m3np+P1WMn2iXXw67fAuySdTkkSdbG27S9J2tdjy8hOXexvLQGNdfMZp+ugg0r3tl/UhESTJNAETwYmJn+ePsm2pTZI/GhsyWJnQwmKiyhLGyY+5wVTTQYNxeirBMEPGFuyvSLluHcFDWbsAX9zKex+h6TVKdeAXd57b6LURfzoJN9rcj6nx2s+lRqJ/0X7BhRofMH7gVsoXRaP6Rq/JoCaJYGgt3PjQJ/v64d6waLmWzaIO7w8dLXysFmirLfXQ9JjgItc6hTvDrxd0ie7JNk11vXvHhMGMFenwXF7VieENNb+dqX6xhpu09ii+wv011kG4HDKKNczGRrlahS7twKDalw9fyjuIUx+IdZiHTLA3YdHGGz/Tx3J6KQmlj4L3Mv2gyU9FNjR9vs6hr6AMotpuL3k9ZJuAF5pe6mXMS5slgNluWWLZW5QOoasSandcizlxNWkjku9mTiNkqw50w2WX1UfqnE/BfysUdLtc/Vrn8W2502yrclx27XLRx80ebe7Wyg3p59b2plCKg0FBnU/bmXsXHA7ZSbclA1mM/SV+IX+ul5ROtCtQbmgvoDymreYtt537OYNBmx/r349tPvuLdTbWDD5M9m2pXVznYF1OqUe2Q107BoyTa/H32si5FeSXgf8ntJpq6vB8fl6lTpW11G63rWw9dDfV6SUH1ira9D6uf65hgr7tqBp6ERXb8o/Stsli4MExaRtxSkzdbvorQSB7YcMP67Jrb1bxKaUIFiDciw9nzIYPeWluLZfWb/2dj6nx2s+SvK4jwYUUN57mzF2fH4eZWLBnpJ2sL3f0gbUWH3HBb5FSVZ07T7cW/Odnt/X8yStafvPNfZaNLpWrUnIw6jHaUl/Al5i+5JF/uJi9Px6fBbYoib03gJ8mbIs9HEdYvbW9Q9m+ZIxSXtQ1txtzfhRrtso7ds739yq1CR6vcd3lvmM7Uct+jeXKPb5th8+mGZZt51qu8sbYhD7zcAmlFGjD1DWrx7hBt0LJF1EnX00NBX3rn9Dh7jPG3q4ImWW03Utpq7X+F+mHKgPq5t2o7QE73SjV0cm30K5kW02NVmlRsd3XJdxSXoKpbX4UcAnbT9yCjEnW9424IbJt15Iuj/lQvGxlKmW/6C0h+/SuWYQu2l9qYWMPt2lxfu6vqdvpnSqMaUw/Zq2X9og9j0oF2ODi41TKSNznYv3SfokpWbVYPbbCymjiisBq3uKS7wkfcD227ru34SYky75G3DHpX+Svk252B3u8rSD7ed0iTvJ86xAGeBoXnyxdWxJ59h+pOpShLrt57a36BBzsiTkXbqMOGuszfoLKIM8A6tTlv89Yqqxa/xVKF0yRTlv3QM43B2WU/f5egw9xzaUm/A1gPdS9vvDts/uGPeZlOTY/YBPU17nd7t2cmxN0hnusHx4KM5JwDaUG/zhZbhd3nv3ANakx0506mHJ4lDsI4EDPaGteNdzmHouQTDJ8y2wTKNBzA0p58NfLO5nFxFjYYOAQJNal71ayLmg8/1GjXMSZdXAHfXx3SjvkycDF9vevOtztNbHuXExz9fkfS3pJZTBkW/WTTtTPveHLfy3ljj2T4F3uHYlVCkP8n7bLVbyTHyuVq/HBS5dpP8f8HuXGa+tYvfS9W9WzxDy9LS/3Y+GnWUm6G2Uy/0WGOxl9tHE/0NJX6e0027l1ZSCcftQLhBOAw5qEHdl2+dq/NTkTqO31dYe317yOEnvt/3GegO21Hqc5XCXeoH6LsZqTJ1CqaPR+WbRpUX33ygzP24HdgAe2DWupMdRsvNXU94b95O0h7vVl+qjEP1Er6eMxH2DsYveVkURvwz8knKTC6Ub4iGUAtxdbelJutzZ3l7SUo/qqNZJoByrFzihuludhF4LeNNj16s6A/LVjCX1TpH0uRYz4PqMTT+j+x/pvlsL1VebdQBs/0Wllsg2lKV5P2pwY9vn6wGUQuwAKifH17vRVH7b369/vYVyDmhmwvFjHmXAsdUxoI/ZorZ9tUqXp3EkrdUoKdTHksWBvtqKy3YvJQgmDBLMoyzvbTW7fzAja3ggZsoJISZf6jzQpMtTn9d89FSov7ovZWn/YD9XAdZ1aarRogbtVpQBTANnuEGtVXqc+dbn+9r2V1UKNO9AuVZ9ru1LW8QGVhkkg+pzndLivrTnz/ltKjPbdwe2Vylv0GnFimpdQOBFqu3sh3UdhJ7tM4QGRVvfxORLjToXba3Pc3fadZYZjtvbKJekN1CKSF+72B9eurii3IDelx5mH014rk2BH9j+t5ZxW5P0I+B1lNd7K0nPB/a0/fSOcY+j3BweWTe9kPKaP42yrGnKmeSeZ398i5JIGCxFeDGwhe3OiQRJv6a0pT2C8tm5yPa/GsQ9H3iRJ9SXcscibHOZpItsP2xx26YY+zLgqa5LJ1SK9/3Y9ubDI19LEe/ztveSNFnHHrtRccu5RqVd790Z/1m80/YrZnnsaR3db0XS3QajzY3jvoCyNO8UyuvxWOAttr+5qN+baZIeQkm0D5Zc/YnSyOGXHeOuR7lm2g74F6UL074trncmHEPuoAwSfMSztKCtpO/bfqbGah8Nj0zZbRounAA8h3K9tw5l2djWbtCkpA78/YXxbbRXtd2pc5KkX1HaLX8D+JaH6pd0pfFFbAfvkW+5QWdSSR+kJH4Pr5t2pdS0aTrztaWer/kmK9T/vkav9Z6UgZhTKJ+b7YH3U2Yuv8v2WzrE/n+UWTCDhNtzKPcInUpJ9Hlu7PN9PfQc4+qQuU3B6u9Qlq0PZhvtTjk+Padj3D4/5/cGXkS5lzu9XgM/3vaUuwlKepbt76msnlqAOy4Pn+0Job1tf049VRgfep4Hs2Db1E4tIGs2cB/bvbR1rq/JC4D/pSQUvmn7j41iX0ApVNi0er7G1t6qfv0D8Laus79UujYsamp816Vu96fUKXk0pd7Pb4DdbV/dMe46lKTNdpTX5AzKCOMtlI4LV3aI3ecJvM9Ewr6U1+N+lDanp1I6tfy6Y9wFpiBPtm0pY07Hkoz5QC+F6SWdRbnpPKM+fgzlxqjFctl/Bw4Gfk15b29EWSp1CqU+1ie6Pkcr6nnpn6QVKW2uJ/4ftui+scBU8sm2zabY9dx4qO3dO+3ggnF7Ow9IOsr2Cxb2HA3OMT8HnuzSIn7wuT+hy2vd93mxPkcvU/klHU8ZFBi+AdjN9pO7xO2bSkfBT1NmtS4PLAf8xd3rivRK0kcpy+LnMbZkcQvbezaIvSLjZxqeBny20U3XI4BdKDfjl1K6mX2ta9w+qdSBethgoKseDy+c6udRPS95rs/RyzVf/bf/xPaTusRZzHPch1KjSMC5tq9bzK8sadzLKDOh/14fr0QpszHlGe19nRungxZSh8x2iwLNa1LujQb3SqdREnp/7ho7xsz2JWO9F22tiZXHUxJCP6R0bTiDMuo1ZXVK4o6UAmHN1dfk3SoFjl9I6cJxbaMD61nAzV2y55Ox3dfSjGf2FBcoy5iAJ9UpivPcqNCxS9e11y/k21NOBlUb2x6u2fRuldpQLfxN0nYTEgl/W8zvLBHbnwQ+qVJg9WWUacrrUS6suzhP0pcYX1+q65Kv3pdk0G9h+ldTluTeg3KS/V9KzbbObP9QY13uBjMvBzcAn+gSW2U69YYMnb86JvD7Xvp3GCW5+VRKR7fdaDQFHLhT0saDhGlNXrfqtNNL7HpunC9pedu3d97LMX2eB/bt+TnmDZJB1U1MXlB+afR6Xqx6mcoPzLc9XA/vK5L26xJwOm6cgc9QEhRHU5aivYRS67EJSfel3GgNH/u6LHse2KEmKP5FHUTS+ALWU1aP+x+nh2th2+cC50p6P/Axyr5POSE0HYM81RqU8y2U5FsXfS95hp6u+eq54K+S7uEeat9V8yjXTHcD/k3SvzX6zFxNGeAZXNesQBkAm7K+zo3T9L5+L6Xu57g6ZA3iUhM/+6h05fuXOy5N7vP1UK1HN8kEiFZFxwcrHN7MgtfBnQaKZ3VCaKCOlr2SBf/xLQrkPh/YgpKhf5nKOv4vNogL8FNJn6Hc0A0XGOxS72KiGygzbW6iTXcPKGtA95b0W8bv91RHMBa59Knr6+GhNn4aq8MAZTTghsl/a8nVmO+nrD1+uqTNgUfZ/lLHuL18qKvekjaMTyRAmTX10haB60jldpQuFmcD/4/u7eGhh/pSLu2Q+9Zb+2XbF1G6IKxeH9/aNaakJ9g+SQsWury/GnS5k3QYsDGllfEgOWE6JPC7TrNdAv9me2dJz7Z9qKQjKNPiW3gLcLKkqyjv6w0oidTZHvtq4ExJxzL+HDPlm3J3aOe6BLGv7/k5fizpJ4wvwv6jLgH7fD2GXCXpPxk/k+c3DeL+SaVV7+D12JVyjdPFdNw4Y/tKScvZvhM4pM6i6kylps8LKTNhho99U7651VgHs43VXwezx1AGdiYmsjotdavnrZ0oCbiNge9QZoJ0MR2DPB8ALlRZujhYxjTl5WJ9DpgP6e2aj5JQubjOChw+F7RoyjH4zFxCSXZCx8/MkH8Al9T9NqXcwxmDGccd9v9qGp8bmZ73dW91yDRhabJKl7E9PPWlyb29Hq7NCXqcAAFlwOFgSq6i1QDg7F4yNlBPqKdTRnLv+se7QaFpSefafoTGimHdBvyy0TS3wcjZ4EUeZAhbLPd4NeVAN59S1f0bblTAS9IGk22f6gWmxq/ZH37DNXs96vP0UodBpYbQIZSp8VuodCq40BNaFk4h7s8pH+qJ7+vOMxZUWh1+lbHRpz9TDqBNRv3qczRLJAzF3JmyRKzJ8sfpUGfCfIAFl522qO1wtu1t683ipyjFbb9pe+MOMXsbKZf0btsHaPJud+6axK/TtDd3DyeuOvDwVhb8f+x0fBo6x5xGufn6AyVZ3fn9UeOvwPgaeJ2LZfYdWz0uA1ePy3ZqovNDlMEX0XbU77kMTYm3/Z2uMWvcPl+P4an8UG603t11Kr9KvYXPAI+iXDP8lFJHYzqSXFNWP+NPolyo/wG4Hnip2yzhvAJ4aOPP93R0MLucUnh94nVOpwSfSk2l7wJHuYeOOyoFfTejvP+uaDxj4z6UgUsB59j+Q4OYvS1NHnqOPq75eqmHUmM3/8wMxZ50vwemuv99nhtr/F7e15q8Dtk2btAJTD12Gev5c74FY4XYT2t1/6XawbxFrHFx50hCqEl9koXEPgh4O2WU4U3A/1EK2XYeCdVYMexBEUBTuoKdV0fnu8T+IGW9dKc400llje1rGKvKfzqN1pLX+M3rMNQ4P7O9jca3gWyxfrqXD3WNPbjpX7V+/T9KbaLzG7z33k9pLXxzfbwm8Cbb7+wSdyj+uA4ctr/XIdZ01NE4g1IL6uOUjh8voxxbJz2xL2Xs5oXpF3bBMTBNI45TIuloSm2263uIfRxlNuebGVqeZ/utHeO+AvgW8FBKYnlVSlfIg7vtMah0Hjp8wmdxV9uduyv2GbtPks5jwWU7/2b7HQ1iXwk8y3arJX+DuBsB13t8PYp7uWOduhqrt9djLlJZ+vhJyvIGU5bIv8FlaXjX2BtQboTuTkmC3AM4yB3qAQ7F/hGwsxt1cpsuqm20e4irPgYGauxnsGANvL1td5q1V2PvBJzkukRK0hqUYrPf7Rj3aMrS5BcxtDTZ9r6L/MUli93rNV9f+vrMaI7W+un5fb0KZbaXGKtDdnjXxG+N3Vc9wz5fj30pK5sGs+J3Aj7vDs2ZJA2aN+xDOc98hzJTDYCuSfy5khB6H/BT2z/s+Xk2BFZvmMU7gnIBdizlzfYM4GeUbOTRLu3jljbmWov6fqtRnT5IOoqSEBvurrCG7Rcs/LeWKv7Fw7N2JM0Dft5gJs8pwPOA4126jG0LfMj24zrGfRc9fKhr7ObvvaHYdyXGhrZd4A5d0YbifIAy7btJB46FzXYbaDHiPEjsDb//JJ1u+7GL+91llRovs9TYmu/VgIcB5zL+M9OigPfg//GuYuOSTu36Oe/TZInpyT6fsy12nySdZ3vrCf+PP200mnimG3RemiTuecCjB6OTddTyTNvbLPo3lyx2j6/H8ZQbrpvr4zUpA1VP7Rj3UMqMoOG4H20x20HS2cB/M7YcbRfg9X0kLVqQ9GnKse++lPIGJzL+2Nd5aU2f6uDlcpQbo+H9nlKpAE1PM4fLgWcOEnmSNqZ0xN2sQexejquDGIPPuUr35J+4zYqE3q75+qTSXKWXz4zKrO1ntZxR0rc+39d9Un9dxvr8nP+Ccs37l/p4FeCsLoPQmrzT5IDdcdb5rK4hpLGiTABvl/QPSms46DhNW4uoayNpq6merCZYG9hqkJ2uI/PfpMx+OB+Yyk35+YxfgjbMQJNlCD3ZdEJG9+Q6q6eV5nUYqjdSEisbSzqTskzv+Q3iDqacDhfvbvV/2Md7b2A5SSu4TsOto9krdNzfgWcwvgPHocCFTHGNfYuEzxL4e00+/krS64Df07Ge19BNwKQaXdAMWjs/pj5Xs9bOwFeoyyzr4/+hzL6Zat2taVkDX79eX0eOrqMUNJ8STU8R23nDI+V15HL5BnH7jt2nv9aEykWSPkxZttOp0LHGamKdJ+kblKUqwzcYnWpjAXcbvrGwfXv9N7TQ/PUYso6H2n3b/rNK2+GuHjpJ3FaJSNk+bOjx1+pxu3vgsQv2cTpeqJ9Xv55PuQ6ZawaJtq2HthmYaqJiOs4FN0yY1XUVZfCuhcmKxbe4Fxucv25W6Zz8B0p9yhb6vObr07H095m5mva1fvrW/H094T4daF9EGXg5ZWny4Dx7Gm3qGfb5ORfj6/vcyeSJnCVme6NOe7QYszoh5FqUSaWQ6OnA6W43Vfujw0819PfBm7lFXZv1geHs8T+BDWz/rSa3llrfb4ieXShpW9tnA0h6JI0KFwLYfovG12H4vDvWYag3QY+rfwa1NK6w/c9F/uKS7W+f/5fN33tDvgacqFInxpSDdcvCvGvQqAPHhJPV8NLNlier/YCVKdM43wvsQFmW0cV5i/+Rzg6htHbeuT7evW5r0dp5HdtHSXobgO07JE25+J1rAW9JL6ecB37VYB8nep9KTY03MbY8b78O8aajiO1xwFGSDqa8r18F/LhR7J/0GLtPL6bcdL2OsmznfsDEIudL61lDf/8r8JShx2bsQnWqbpS0o+tSUEnPBv7UMeZAH6/HwL8krW/7d3DXjMwW087nSVrTtRZRnRnd6Xp1aHb1yZL2B46k7OsLgR90iT1kOOmxIuXYushZ3YvjWotE0hOAs23/tUu86WZ7h8bxemvmMJT4vUTSD4GjKO+RnSkzrFs4T9LHKLPUTOk026LT5efrTLp3UpIgqwL/2SAu9HjNJ+nBnnpx4EVyvw0jrqt/5tHoXF/vN/ax/fEW8Ybi9va+dr/FkwevydFu00F7EHM6PueHAOfU2U1Q6it1akQ0IOl0SlLsdMpM4iadr+fKkrEnUG7yH0uZPXEh5abgkw1i91bXRqX7xk7AMXXTsygH6o9SkhW7TSHmZrYvX9gMp0Yzm5rSWB2Xu1OSKr+rjzcALrX94EbP00sdBkmn2H589z2cNPaDWbCIbZcW2oO4zd97Na4osyYeRCmeKeA42026JknahVK0dVwHDttHtojfB0k72z56cds6PsfqlARWkwN/jTnZ1PUm9drU3zLL91CO1RtQLqIHAwUXddtjkPQY22cubttsUj+PezP0WQS+6NLhqGvsecBePcV+APBZyvH5wZIeCuxo+30NYu878dpgsm1TjL1ii2uDSeJuTFkmu27ddC3wYtud2hjX2H2+Hk8FvgAMbtK3B/bqej6Q9BLKrNBvUq4VXgAcOGFmz9LG7HW6/SKe9wzXzjMd43yVUvfoJupxDzjDHQt4903S/5tsu+33TDHeUbZfoAXrAw4GebosyZisGcKA3WbJ4iqURM3wcfV9g6UlHeJuZPs3i9s2hbh9X/OdQZl5+hXgiOGZgQ1i99bwoy993G9Mx/u6Ps9WjN1Ln2H7wkZxj6WcD29pFG+6X49Bo4hWr8f9GcuJbEuZrXy67Td0ijsXEkJwV5ZwG8ro+6uAv7nNOr++69o8nLE3xBm2O438S/q87b20kM5dbtSxqyVNQx2X+jy91GGQdCBlpso3GD81tFPyTWUZ1+MpJ6sfAk+nvEdaLEdr/t4bittPhftyA/p8yoVu0w4cNf52wCa2D5G0DrBa14ulGneBtfSTbZti7K0pIw2rUV6Pm4GXu00nuhMoF2HDrZ1fZvuJDWJvRZll8yBKy9f5wPPdrj7bSpSCfW8G7mt7uQYxe/l/VE9FbOvn5RetEuqLea5Wy6gH8U6lLJX9nMcK9f+yxb9lIf+PF7pNXaUrgT9SjlGnUc4vnS5S67XNB+sM11Up12UtE7+9vB5Dx+uTKO9tUWokdJrZVONuSznWPaHGPdGNuqj2acJA3TzKjKFXu0GXsaHnWJfyur+ZUqNtVs/0V2muMrAi8ExKseMp3XRJuo/t6xd2XdnqenKuWcjnvMm1Wl/XfEPxN6HMOtqZUh/wENvHN4jbZ8OPk5l8eWjXrqS93G/0rSZ+d2ZstuxzKDN7WgzyHEU5JxzP+Ndk1tZPU+mUuQDX2bQN4t+HsnLlsZS8yO9sP61TzLmQEJJ0ImXN+1mMjYo0WeennqqX902lxfqPbd9aZ4NsBbx3th80+rSQGQ8tKtEPkm/DS4/c4MB/MaXg3YUu7ezvRRmBf9ZifnVGSfpv4Cu2W02tHI59mu3tF/+TSx33AMrF+aa2H1Avqo92hwKxkp4O/Dtl9PobQ99andIa/RFd9rk+xy+A19o+vT7ejtK1pkV3tMlaO+/T4oSl0gL3dcBTgdsox+5Pd51dIemdlJpHq1Jmip5BGRmZctcxSY8CHk1ZHjY8VXt1YKcGx4/eithKOpwyg67JRcYinqdpAVH10LlR0q6UDjvbUa4TBlYH7nCjKef1c/NYyvvw34Gbu+x3jXlS68Gc6Xg9ejxen2X7Ua3j9m3CTeIdlDojH7H9Pw1i70553z2EspxwcOxr3nK9T5JWAI5198Ljq1AGhv9VZxxuBvzIDZbz90E9FcOWtBll4OXDjK9HuTrwFtsPmkrcCc/R2zXf0HMsR0kifIoySC/g7e5Qn009NvyoA64DK1JmRN9h+z86xj15ks2d7zf6JukyYEuPX6Fxge0HNoi9x2Tb3e+SwE4mzGBcidLB7IpGn8dfU84BR1DO7Re51l3tYlaPLAz5BfBw4MGU1tk31wuGvzWI3Wtdmx6906VGx3aUmh8fpUzBn5WdMqZJX3UYvs/4qeYGbpX0MHdbqjK4mLlDZUnQDczuouADOwB7S/otJVvfear2kOMlvZkFR0e6dl7bCdiS0qkA29dJ6rr2+TpKrZ8dGV8D4DZKrY4WbhskgwBsn6FSF6mF9wJ7eHydjo9QRuq6+irlou799fGulA4ROy/0N5bMcyk3Wj+gLFM5u2uSiTJdfVXK+XD4PXErbYrH91bEFrgPZR38uYz/vHTutDNBp2KIk/iTyjKpQcHq51OKHXfx0xpjHcbXCLyNcg3RmUoh9sdQbsy3oMx+O6NB6AvrtPijGf//2KU2Ue+vB/0dr4+T9Dzg254Lo5ZjJrtWeKyklTteKwB8gtIe+WDgZHdcCj+DVqbNdc5plNd2TUoXqfMo9aCmtBx+GvRVDHtTyqyrNRhf6+w2yizaFnq75lNZLvwySkOR4ymduy6og3Zn0a0+W/OGHwOTzNI+s8587Rq3ac2taXQ1JTE2uB5bgXK86mw2J34WxhO6W9fZo3s3Cv8pykDPrpT7mlPr4Eyn13tOzBAaqNOpX0aZKntv21Oucq9pqmvTF421mPwAcLHtI1pNi5+r1FMdBvXUwl3SQcDbKTMG3gT8HyXT26J6fm/6nKqtfrq0IOlc248YzHRQgxaQQ7HvTkkmrG/7iq7xaszBbIwXUy6gv85YAdQ/237Hwn53KZ5jgeNFw6U1vc28rIm87eqfFwB/dJsaHRvY/q2kVdyxnkONNygm+x+U5S/DRWxXsP3eBs8xaU0mNy68Kuk5tr/bMN79gc9TZmb9GfgNsHurm9x6jNrE9gl1pPJubrAMS9K/KMf+99s+ZnE/vxRxJ6tpYLerZdDX6zHZkls3OF7fRpkVfgflBqNlE4De9HWtMBT/QZQ6TdsBm1BGnF/caad7NmGkfDnK8uH32P5Mx7iDc/nrgZVsf3i2XwPXWTCH2t69h9iP6mu2WM/XfKdR6pB9c+Igv6QXu1vdsG2AyyjJsvdSZk3912ACQBdD53cYWx76Sdubdox7D8oyt8HMy1Mpn5fO9XPUQ50pjXXEXZ9S6uH4+vjJlNU8u3TY5cFz9FILSkOd84a2rdVgQGNhz9d6pvVwTmQ9dyydMCcSQjWz+1jKLKHfUqtr2z6pQ8xpqWvTF0nfp2S7n0R5Xf4GnNvihmuu00LqMEjaYyqZZpVW9s/zWAv3VSnFLncCzre9+RRiivIBvqY+3hBY3Y1qrEwHlfbCwwfnFkuNJivyfnDX2YB1FHsTyknqA5RZMEfY/nS3PQZJz6KM/i1veyNJD6OcwKc8S2Mh04YHmkwflvRz4PETZgidOnFkY4qxv0L5fxueebmH7dd0jPtgyrngcZQLsGso54JJC5cuZexHUbpArGp7fUlbAHtPdZ81Q0Vsu9I0Ni6oidl5LZITQzFfSSmGvZbtjevF5MFuUxtrC8qxaXvKBfCvKJ+ZJt1D+tDn6zEXSfoW8GXK8qLO0+wnxG5+rTAUe3XK7LRB3Yh1KDMkJ11OMVtMuNa+g5LAv6NB3Asp1wofB/a0fYmGlgZ1jP3GSTbfQvk/vKhj7J9QZsHcvtgfXrq4vRXqH3qO5td8Ne7ylKSpKUnOzq+NhmqzdY21kPjDg5eD5aHvsd1pxmg9Pv2SsS5uLwa2sN25M+RkCQl1rA+lhSznGmgxu0c91YKS9APgOa7LTFXq8ny/y+sxFHv4GDKPUtZlbXdcKltjf5RyHbIqY6V0TnfXupRzJCH0FkoS6PwWJ5JlgaSVgadRZgf9qr6RH2L7uBnetVlrqtlZlbWxW3isWPUKlJk8D+wyItX1QDxTJO1IWYKwLmWZ2waUIpEt1sb2UuS9jiL+AXgE5Qb9J25QtLDGPp9S/PQUj9VD+UWL2Ud9Uj+dfHqdeVlP4KdSlun8zA3rRUg6h7JE7Fg3LnTcF5XubZ8GHkhZ+rYc8JcuMyk0eeOCgVbJyBUoNRc2ZGjpuqfYeWhC7Ison/Nzhv4fm9wo1lirMtbhY3fKa7Jhx5grAntSaoEM33C16Gp0Ef2+Hn11ylyTksQfjntag7hPotxQbEtZovcV25d3jVtj93KtUGP9gnLcO4PSsebaFvvctwkzKQZu63rslrQ9ZWT8TNsfqrMO93ODQrNDM72+Vzc1m+kl6XOUm8NjGb/M8mNT3uESt89C/X1e8/078DnK8iJRaq3sbftHDWKfBDzRPdzoLmTwsnOHavXQ/VXTUGeqT+qpFlQdLHkG5VrkfpTP5Jtb3Eer1C0dGCQMv9X1/VFj70w5B/yxa6xhc6KGkO3/mul9mG1s/5WhtbUuRVW71mBY1k21DsYRwNmShlu4f72ObnfpfHK2pG3cY6G+nryXcjF9gsuyxR0oiZsWNp0wy+3kOpOlq3sB+1JqCH0ZOKFBzIE7bN9SJn3NHba/qtKZb9DJ57nu3snnmd33bOFsP6Pn+NdM+H/s3GK9Z5+hLDk9mnID8xLKTfSU1WTQPEqdur7q6R1DHXGntExt6R+2bx/8P0q6G4so5ro06udlBUp9njOA7d1mNvFhwOWUIuzvodRBuaxBXOj39Zi0UyalhliXuK+gHK/XAy6inG/OohyrOrF9AnCCytKMXSl1kK6hLFv5WsdERV/XCsz2AYZFuIBys/VnynlmDeB6STcAr/QUO2bW5OBpQ4+vAlp1HVob2GpoptcBlIGT7SnHrC5L/66rf+YxvmZdVyvbPnfC+avVAHqf13wfA3awfSWASumHHwCdE0KUxhPHSGpZm23gUMrg5afq41Z1Ev8mabvBTCNJj6GsAOliOupM9amXWlC2v1Bnp32XMji1t+2fdo1bY7+7RZyFxD66j7hzIiEU0ciULoJtv1fSDxlr4f4qj7Vw71LAcAfgVZKupn1x5j790/ZNkuZJmmf7ZEkfahS7lyLvtt+p0o3vKZTR4c/U2UhfcscaU8AvJb0IWK4ux9iHcsM469UEULN2zo1ujmfKNZIeDbheJOxDu5vy3ti+UtJytu8EDpHU+b3nUuz+I5QOdH1Yzx1bpC7CqZLeDqwk6cmUUdzvLeZ3ltTTbd/YKNawf7O9s6Rn2z60zlD4SaPYfb4ez2esU+bLVDtlNoi7L6Uexdm2d6gj3M0usCWtTZnd9WLKTePhlPP7HpQE15T0eK0wl/0Y+I7tnwBIegpldvtRwEHMzkYo6wPDy5b+CWxg+2+SOiWwe7xR7KNQ/0Cf13w3DJJB1VWUWUgtrAXcxPhEsulWqHqgr8HLVwOH1oS1gP8FXtoloEu9u2PUY52pnu1HqaW5DyU5uQNl8GtKNH45lygJ64uAbev9R6fZevU5jl3U992+8UdnSQjFKJnyFI46ijWlkaxFeDqwJmXpAZTRrpsbP0cfbq7LJk4DDq8jfZ1GoiYsNXqJpHFLjTruL1AybZL+QFk6dgfltf+mpOPdrVXo64F3UGY6fJ1yI9e5YHBMu1cBnwTuSylIfxzw2i4BpfG1wnrw15q8ukjShyk3AKs0it1np6efSnqI7YsbxwXYn7L86mJKV48f0iZJwXAySNL3bbeaETeYlXJzXYL1B8qIZQu9vR701ynz77b/LmlQ+PNySZ2KtQ5I+jZl6c9hlFoug5vmb9QZYJ30dK0wl21t+1WDB7aPk/R+22+sS+pmo95mekmaT2k0MHF5aNfZb6+lFOrfTNLvqYX6O8YcGFzznU67a75BTZxLahL1KMo1386U5Xmdud8GLX0NXl4EbFGPp9i+tWvMIVfWwYENGb9Uu0nzgh6ZcrzegHKPAGVG51QHzyfOzPvOQrZ38Rvg3sDX6uNdKcvGWg30NDcnaghFtCDpM7ZbtXvuTNK+wCsooxUCngN8wQ0KHfepXhQNOr/sBtwDONz2TR1i9lrkXdI+lNHfP1Fuhr5r+5+Daai2N+4Svy+STqcW0afUSmhWfDemh3qsFVY/N3+k1A96A+WzeNCEEdepxu6t05OkS4F/o1w0/YO5MzvyLmrY0agukfoW5QL3EEqxyP9n++AW8fuinjplSvoOZSbnfpTR/T8Dd7f97512uMR+me1DJmybi0u35wRJx1Hawh9ZN72Q0tzhaZQ6cFPquiPpMROXtE62baokbU0p4i1Kt6TOycIa9zjgG5T6R6+iXJfcaPutjeL3Uah/FcqypXm0u+abrLPigFskKSStR6mx9xhKUuEMYF83qL+lUi9sUCcRyqyyy4B/MYVzmSYvZH6XRrNWfkq5ljyfoeXwtr/VIPbWlIHRDSjJpmbndElXUGofXUx5fYFu9wXqv+j4aba3X9y2KcSdB/zCPdS2TEIolhl1iuW7GJtx06xdYx9UikQ+yrXFtRq2Qo/xJL2HsjxsgROIpAfanvLSoHoinGzUpcWJ8P6MFbDdlnLzfLrtN3SNPZdI+h6LWPLZYvqtpI0os702ZPz/Y6fYkv6bUri2lxtOleKW69u+oo/4fVhYArjFkkNJz6TM0Jt4Ydql0PbOto/WUIteSV+eAyOrvbweC3meDemhU6akx1FuQH/sNt2HLqDMDPr9UPzPuFGR7dY01tZ5Um5QRLlPktahdAjarm46g1In6xbKcWtKyWtN3jGpWVvnesN4L8afC1p0Uh0UyL2r8YSkU20/rmPcNSjLaDZk/D43eX/UY/Ymtk9QaWqz3GwfoJJ0PGW216BRxu7Abraf3CB200FMjRUh3pSyXHaw5OhZlALCr1jqnVzwOToVp15M7OZJm6HYZ9jebvE/udRxT3RP3TZrwvAZrp2/6vXlD20/sEHsw4G3tTgeDcuSsViWfJnSrnHQkerFlNHWzu0aeyLGF629kw7L2qZLner7IUpRN9HTDUZLXkRb8i7JoOpwJjkRtmD7Kkl/o9QzuJ2ydrrzCWUO+kj9+lwmn4bbwncpbee/R9v/x95qhUl6FuW1WR7YSNLDKEnwFgmyBS6WWl1A2f7tZDdcjXyC8j65uOFSt7dRCnd/i9IhqOk0e5XaO+8H1rX9dEmbUwYLWrSz/wTtXw/griWRuwH3t/0eSetLeoTtcxvE3o5yA3pIXWZzX8qMsq72Br5bPztbUV73zjOPetRkZspMqJ/xT9he2NKlpU4GSXoU8Ghg/oRZFatTuix2ptKV9ADK7MvBdZmZ+hKVYYPloddLegalwPR6DeL+EDibHq5DVLox7UWpybMx5bN4MND5XFBnCi1wXGp0fJ0/YTbgVyTt1yBu83qJrrWl6gyyrQbJNknvopx7Wvi+pH+3/cNG8YbdaHuRdXM6OEDSFykzDe+q4eXuxcEvUqn100fR8f2AUyQNWsFvSPkMtXAfylLLcxm/352u+5IQimXJxrafN/T43Sotd2erQ4Bz6vR4KEvGWtwA9O3DlBHWWV9wd5r0diKU9GvKMrcjKO+N19tuerE3F9g+FUDSeydMuf2epM6tqKu/2/7U4n9sqT29h5gD76K0FD8FSv2BOlNjylRaoK8MrKPS+nuQpF6d0na4swk3XIP3c6sbrmuAXzZOfvyvpJMpSbcFPusNEnBfoZwP3lEf/w9lWUmL80Efr8fAQZT/vydQZn3cRkmabdMlaB0t35oyWn4IpW7E1yhLPzqx/bO6hPg4ylLIJ7ufQuFNuBQZ73V5Q19s3ylpvqTlW8zuqpanLKm8G+NrftxKKXLewr6UosFTXhK1CO+rs9nfRFnOtDpluW9XK9pe5LKjDl5LOc+cA2D7V5I6d3mqvj/09xWBnShJshb+JGl3Sm1HKANIffyftjSxoPntdKwnV5d/m3Iuf7tKYfR/0nYwt6+kDZTlw5tRzgPD1wtdY/dSdLwu67oHpePrZnXz5bZbdVTtpTB9EkKxLOmjXWNvbH9M0imMdSR5me0LZ3avlsgfkwwap88T4aco749dgS0pHYNOc/fOaHPVfEn3nzANd36j2J+sN6LHMf7/8YIuQetsmImzHVbttqt3ucP2LVLTiYV7U0a31qXUGhgEvxX470bP0ecN138AP5R0KuP/H7vUYPh3ymySw4CPdtu9Sa1j+yhJbwOwfYekOxf3S0uoj9dj4JG2t5J0YY35Z5Ui513tRDneXVDjXiepU8HPSZadrkxZtvQlSbOy68tATaz0UodsGlwNnFkTqcOj2VN6/9XBgVMlfaUeW1crm0uL+Eauobw3mrM9SIDcQpk92sphdSbP9xn/Of/fBrH/Yfv2wXlG0t2YYtfeiTyhfo2krwMntIgNvBz4DPBxyv7+tG6bzQ4Dzq0DxaYcC7/aJaDtlsWSF6avpA3AFn0s6XVPRcddGi28zvZRQIvOcxPjnzrZEs6ucZMQimXJcLtGKIUo95jB/VmserPZ6YZzumisK8R5kr5BWWLTOgEyF/V2IrT9SUqiYtX6PO+iTC9vMjV+DtqP/qbhPoSyzPQJjP9/7NT9pc/ZDsAvJb0IWE7SJpS2rJ3azg+9517v/grc93bDBRxIKW68ImU2QQtfsv1iSV8YzFZr7C8qrdAHLaO3pd3r08frMfDPOntlsN/zabNc5XbbljSI26Jz3kcW/yOz2oU9Lm/o03X1zzzadvFZrSYi1wKQ9CdgD9u/bBD7Ksp55gc0TqJKegDwWeBeth8s6aHAjrbf1zH07cB/UWYZDpI1pk3Xv1NVulOtJOnJwGsoS6v7sAlllkxntcbKrE30Tsb2gZJ+zFjNrWYDxZImq691C/Bb2526xtFT0qY6W9Lmtpt0HB6os6H3ZMGOfy2ShsdLejNlpu/w8bpzgravJZwpKh3LDJUWps+nfEDWoBzobPs9M7lfywqNdYUYTD0d5pY1NeYSSRf3dSKU9FHKhcGqlPoAp1GKSl+1yF9cBtVpuM8HjqGHabiSLgce2nBpwyDuRdTZDq5dqTRUULRj7JUpNwBPoXwmfwK81/bfu8buk6QvURJkfdxwnWd7665xJsS8lLL071jg8Uw4/nW9yKsX6p8GHkypgzcfeL4bFGju4/UYir0bpWvUVsChlM/nO213qnlRL6Q3oXSj+gBlVP+IFgnKmlz6Wx3FfQDlWPIj2/9czK/OKE3elWmUz7s/Bd5h++T6+PHA+20/ukHsAybbPqjz0jH2qZSag58bOh/80h27BtXl5Y+0/aeu+zhJ7HmUG+fh88wXWyxDHVrONPAHSsHczp2v5rK6JG84SdGioPnZlGP1xXXTQygzWNYGXmX7uA6xvwB8vHXSpsa+jHJf17QrqaSjgcuBF1GWPO8GXGZ73257DJImq3dn250TtPWa8hHAOUPHkM73IZkhFMuSY4CbKTNufj+zu7LsGUyvlHQopXXnzfXxmvSzjGKu6GX0YhAb+LDtP/YQe07pexpujbkGcEPjuH3MdgDA9l8pCaF3LO5nZ5nf1T/L037WygmSntLl4nYSBwM/poy2nz+0fVBsttNFnu0LVLpdbVpjXtEwQdHH6wGA7cMlnU8ZmRTwnBbLiW1/pM5EuJXymvw/28d3jVudBjy2nrdOpBRtfiHlZmDW6mt5Q99Uam9NVjS408xLYJVBMqjGO6XVsbVF4mcRVrZ97oRlvl1nZwBcAvy1QZwFuNQt/EL904zKi/CgFsmOZYWkHSnX0+tSrkXWpyQtHtQg/NXAnrYvqc+1OSU5+V7KjPYu54jtgD1qIqRZ0qZ6WoMYk/k32ztLerZLrbYjKMnOzmxv1CLOQvSyhDMJoViWrGe7rwNHjHnoIBkEd9WN2HIG92em9XYidGl1vaOkQSHlU233NVV7LuhtGi6l49Xlkn7G+FkrXaecHyXpc8Aadarvy+l4YT1JPZRxGuxzrzzWUWUV239Z3M8vpdcC/6GGhTNdio1/StJnKcmhwefxNNtTTk4OLcOd6AG1rk2L5UDNXw9Jaw09vIGxoq1IWqvF57EmgFolgYbJ9l8l7Ql82vaHNbubTwC9L2/o05uH/r4i8DzaJECukvSfjG8p3qkLnaRP2N5vYcfXRsfVP0naeBBf0vOB6xvEvZPSNelkxp+/ptx2XtLFLPo80+kapw6UfAeYq/Wx+vBeYFvgBNtbStqBUkOyhc0GySAA25dK2tKlm23X2L3de7lxR7chg0GXmyU9mDI7bcMWgSW9ZLLttjvVg6p6WcKZhFAsS34q6SG2L178j0YH8yStafvPcNfNwSgfS3o7EUr6AGVq6OF10z6SHm37bX095yw3uPl57dC2VnUSJl0m0NWE2Q4PoM1sh97roUg6jLElipc3jv0oSgetVYH1JW0B7G37NV1ju98CmpdT6j99m5JYOazWFZrqUqZnLeJ7reqQ9fF6nM/4pcODm8ZOM6Y0vhvO8I1oy244qu+/3SgJFpgbNdkOo7z/nsrQ8oYZ3aMlYPv8CZvOrMumuno5pdvO4LN4GqXOXheD5FKfx9fXAp8HNpP0e0oSq8XstO/WPy09s3G8yZwtaRvbP2sduJaReB7lJv+ua9RZXkbin7ZvkjRP0jzbJ0v6UKPYV9RBjSPr4xcC/1Nfp04zUl0KvG8BPLZuOr3LYMk0+XydKfqflOXgqwL/r1Hs4U6bK1Jm0V5AxwLh1f6Uc9fFlCYgPwS+2DVoagjFMqPWefg3Gq8zjfFq5vttwDcpF+0vAA60fdgifzGWmqRfAA+rU7ZRKeB6Yd7Tc4uke1MSewZ+ZvsPjeLeVQ+lPl4OWKEuJesa+wmU2W+PpdzgX0SZEfPJBrHPodSbObZlHY2+1c/jowazmurrf1Y+j3NHXZr3JuBM2x+SdH9gvy4zKaaDpAvrjIFf2H6opLsDP2mw9KpXE2aTzaMU2P+k7U1naJdmhXrsmGf7tpnel8VR6eZ5vWttOkkrUYpiX90g9qWUgZLfUmb9NrtuVynOfAslgX1X10bbs7bEgaQTgOcAH6TU9rkB2MZtamOtRJlNMuhsfAZwEPB3ylLGKXfqk7Qv8ErGBjF2Aj7fYbBkmaLS7Oiw2Tx7OwmhWGaotOFbQI/TDUdWXXv8BMpJ5cSe6ueMvHoD+vjBEox6cX3KqN6A1pugVzO2ZOcUSnHOWVsQVtIrKKNOJ1E+L48D3mP7yw1inw08aXAhp9KN7rgWF4813nKUka4dgFdRkk+bLfq3lijuObYfObjJrdt+bnuLrrH7VJdQbDN0Y7QiJcHXqZijpPdTaoXdXB+vCbzJ9js77nKvJO0EnGT7lvp4Dcrx6rsd424LXDK4Wa7v6wfZPqfbHs9dks61/QhJp1Fu6v4AnOsGRUr7VJdSD2407qDUMXmP7TM6xp1sWdctlJpQn3OHwvqSHkPp6LkBZWbJIEnRoiDs2pTZqNtR9v8MyutxU9fYfZF0HvBo14YLkpanJFS3WfRvLlHs3q7b58Igw0SDQR5K8nQ34B7A4bP5/QFza7BE0hsX9X03aG4xyXPeHbi4y/WTpKNsv2BhSzm7vtajvMwjljFJ/EyfmgBKEqh/H6C0Gz6ZclG6PWV21qj6LKVt+0H18YvrtlfM2B4t3luALQcXdPWG4KdA54QQsOLwqJ7t/1PpPNaZpBOBVYCzgNMpiZBWBbevkfRowPXmYh/mwPIX4BDgnFr3AspI7pcaxH267bcPHrjUZft3YFYnhIADbA9eC2zfrNKh6bsd436W0g1n4K+TbJuSPhMJPetzeUOfNmdsVoIpx5LzGsS9itKNb1C/6oXAHymzTb5AOTdM1ZeANzBhZkkjR1KWtz2vPt6NUhPvSY2fp6W7eaj7pktB2ybNAHq+bp9zZSRs/6UmyTZxKXS8Mh2XtPadSBg8DeM/K3fCAt2IZ4vBMupNKQNex9bHz6J8NjuTdOzQw3mU4+BRHcMOup/1spQzCaGIiA76nE5t++uSTqGctAS8tdVyozlqmwmzSE6S1Hmdep0Jc6jt3bvGmsS1wPCygNuAaxrF/oukrWxfACDp4ZTRxRZ+QSn2+WDKDfPNks6y3SL+q4BPAvelvD7HMb4u1JRJOsz2ixe3bSpsf6x+HgdT7l9m+8KucYHlJK1g+x9w1zFkhQZxkbSn7S9N2PZB2/s3CD9vkm0trivloenrLh0GW12v9plI6I3tQY2IU2lTM226HEqpn/ap+nhXSq2enTvG3dL29kOPvyfpNNvbS7pkob+1ZG6x/aOOMRZmLdvvHXr8PknPaRVc/RTqv1HSjraPrc/xbKB5e/sebAe8VP10vuqFSuOJvYC1KK3W70tpZPDEDmF7TSRUkw2WtBj0as5jTS2OA7Yamon6LuDoRk9zb8pgIJSZkb8DXtcloO1B8fl5THLP0SU2JCEUEdHV0cDwEp0767YpT6eWNHEk/Nr6dV1J6w4SACPoTkkb2/41QK3/0XkE1/adkuZLWn54JLSR31MulI6hjM49Gzh3MG254/Tk/YCjJV1XH9+HcoPbme03wF3LdV5GueC7N20SFf+y3Veb73HteWuyr1kXm/rZa/35+xpwoqRDKO+Rl1NupFt4vqS/2z4cQNJBNEo2AedJ+hjw35T9fj1lVkVXV0nahzIrCMoMk6saxIV+Ewm9kXQv4P3AurafXpdtP2pism8W2nRCEv/kFkl8YL6k9V1blktaH1infq/rMfxkSf9FqYcy3LGrxef+ZEm7MDZb4PnAD7oGrTMuv0gPhfopCfzDJX2mPr6WWZo4neDpM70DU/BaSr3BcwBs/0rSPbsEHCQS+pyN1eNgSZ/WZ/yx4nYadRmjzKobVzxf0tOBtzaI3fyeA5IQiojoqo/p1IOihytSinD+nHKSfSjlQmG7jvHnqrdQLqivorweG9C9s8zA1ZQOOMcyvqV91/Xkv65/Bo6pXzt3f7L9M0mbUaY+C7i8VT0lSa+jFJR+OKXg55cpyz1aOEel1feXgR8PzwaZKklvAwatWG8dbKZc5H2+a/w+ubQ+/wVl2YiA99r+SaPwzwWOlfQvyg3S/za6SYSSAPpPypIXKDO9WixzexVlRsk7KYmmEymj5i30mUjo01coSdl31Mf/Q3ndZ3tC6EJJ29o+G0DSI4EzG8R9E3CGpF9TPjMbAa+ptUu6JlMfWb9uPbTNlLqJXe0NvJGxjmbLUWZ6vpFunfQ+TulAdywl0M8lbb/oX1kydQBm2zo4IM+BQtgwZztf/aNeQwJQZ0Z2Oj9qrHvjAt+iUffGoVm4F0yybbY6jDI49x3K67MTHY8dkl5NGcC4fz2nD6xGm+Me9LSEM0WlIyI6kHQ88OkJ06n3sd1liu8g9pGUDm4X18cPBt5s+6VdY88lkna2fXRdnncd4xMg/1j0by/xc0zadn4wvXjUSHoLZT39+bbvaBxblOTHyymjod8AvmL7fxrE/oDtUa6zBSzQ3Wk1Sl2fM6l1Z1wL1Y+aWpvpYEqS9q5EAqVA/Sttf2LGdm4RJP3M9jYaX4j9ItsPm+Fdm9RQvZK7U47Xv6uPNwAubVHsV6Vd9maMnQua1H+SdH/bVy1u22yiOVqov0+ag52vJH0YuBl4CSXh/hrK5+Udi/q9mSbpAttbDT1ejlJEefMZ3K3FqrPxBwnD07rOalLpJrYmpf7n8LLs21qdc/u650hCKCKiA0kbA4cD61IuTK8BXmL7ygaxF7jgn803AX0ZXGxMvOjo6bma1mBQKQg+WSHHWd0uGmA6Rlcl7UBZMrUKZSbc/rbP6hhzTWATygw7AGw3KRY5V2isu5OGvg7Ys7w7VZ/6SiT0qS7HeB5wfD0Wbgt8yPbjZnbPJqeFdI8aaLF8pS6T2pCh1Q62v9og7gLnGUnn22629LQ1Sd8EPgZ8BtiWUqh/a9u7zOiOzSDNoc5XA3Ww5BXAUyjHp58AX2wxi7YPwzNzKcX/B+eZ2ynJt5EfnGmtr3uOJIQiIhroYzq1pK9Tli99jXJTtzuwqu1dWz3HXFBHRO4GPIxJli3Z3rHBczyKsvxiVdvNajCoFHoeWJFyU3eH7f/oErdvtYbLXvQwuqrSaW13Sh2KP1Je92Mp/79H296oQ+xXUIporgdcRLk5OmsuJOBievSVSOhTHcn+NKXI+y8phbGfb/sXi/zFZZSkwyhFdy9irI6cbe/TIeZmlBpkH2asICzA6sBbbD9o0l+cBSStQynUP1h2ehywr2d5u/I+1Vlq2wwV310R+Jnth8zsnk1O0jzgFy1mz023zMydfq3vOZIQioiYAkm72/5aXfu/gAa1ZwYXMK+mtJuHsoTns3NhRLuluj56K8qa7wVazE8s3jfF5ziHUuDz2KEp97/s4+JM0qktRvYl7QScZPuW+ngN4PG2v9sgdm+jq5L+h/J/eYjtayd87622P9Qh9sWU4opn235Yvcl7t+0mxbbnGkmvBQ63fXN9vCawq+2DGsRea+I0eEkb2f5N19h96SORMF1qPZHBctkrWtULm4skXQZs3nLmRF168RxgR8ZaUUPpDHmk7Z+2eq65QNJzF/V9299e1PdnWr022wMY7nz1ldm6LBRA0uHA2wY1zuYSSfelLAkdTrSP1Mzc6SLpGZTk9fAs6Pd0iZmi0hERU7NK/TpZceAmF6k18fPx+mdk1QJ6Z0vaYZIEwjoL+bWpPM81g2KOVecOZhNqucyjFGm+d9e41QG2Bxe72L651kL6boPYYvy//07GLzvqYtOF3ch1SQZVf7f9d0motHK/XNKmHWP2YqjOyqQaLW14pe3/Hor5Z5XWxp0TQpQOXU+3fSuASueroyizWKZM/XbU2prGiYTpUAcHXkNpKGDgdEkHj9rgwJBfUo6j1y/uB5eU7WOAYyQ9quuy1UWRtB2wie1DJM2nzErtlETVWIfCcWy/vEPYZ9Wv96R0NTqpPt6BUnNrVieEPDc7X90HuETSuYxvbtF5FnSfJH0Q2AW4lKFEO2UQMxqSdDCwMuVz+EXKQOa5XeMmIRQRMQW2P1f/eoLtcd0DJD2mxXNI2oRSnG5zxo8EjGr9jx9K2stjHWueR3l9HtAg9jV1KYnrjKR9gMsaxD2fsRoudwC/AfZsEBdKgmmiVuf1QyjdwIZHV1t1NFpH0n+w4AhXi2Vd19aZUt8Fjpf0Z0oh8tnomfXra+vXQeeh3Sj1GFqYJ0mDBEgt9tm5I0n1fkpS6BmUmStfpex7V1+hv45azRMJ0+SrlJkqgyWbu1LeLzvP2B7NrHWAS+uN83Br+BY3zldKejsLLivsklwB7mpesDXl83IIpej214Cu1wzfH/r7ipQlvp2Oe7ZfBiDp+5Qk6vX18X2A/17U784kSavbvrUOxlxd/wy+t8Csxllmrjax2Iky0NOkyUcs0qNtP1TSL2y/W9JHaZCcTUIoIqKbT1OWMy1u21QcAhxAmSG0A6XFeqtZGnPRbsCX66jfusDatGkFDKXV9SeB+wLXUmowvHaRv7EEutTDWQLnSfoY5eLclK4k57cI3PPo6uGUG/xnUl73PYAbWwS2vVP967tqQe97AD9uEbu1QWFdSY+xPXxDuL+kM4FOU8CrnwBH1VFFU17vJq+H7R9Iujvls7Ia8Bzbv2oQeh3bR9WCpdi+Q1Ln2XqD2PSXSOjTph7fMepkSbO9hXaf3tVj7GMotepOoMEs0Ql2Araktue2fZ2kyWYZLxXb3xp+XOsPntA1brXhIBlU/ZE2gzB9OYJybhkMxgwMCuzP2gE126fWGZLb1E3n2r5hJvdpCV1FSW4mIdS/v9Wvf5W0LnATpVtmJ0kIRURMQS1C/Ghg/oQ6QqsDyzV6mpVsn1hH+H9Luck9nZIkGjm2L5Z0IGVk/DZg+4lLyDqQ7RazG8YHlXYGfmz7NknvpCQK32f7ggbhXw/8JyW5Migk2imJNWGJ29X0M7q6tu0vSdq31n86VVLnOlADWrA72u2tYvdkFUnb2T4D7ip6vMpifmdJvRXYm1KLbPAe+WKXgJI+zfgbrdUpNwSvl0SDejx/qYXHB7OatgVu6Rhz4F2N4ky3CyVtOzQ78pHAmYv5nWVWi7pxi7Cy7bf2FPt225Y0eG+3+pxPtAmwfqNYp0j6CfB1ymdyF+DkRrGbs/3M+rXPwZheSHoB8F+UJXkCPi3pLba/OaM7tnh/BS6SdCLjE+2zvjbbHPT9Ogv6vyiJZdPxnA5JCEVETNXywKqU4+jwCN+tlDW9Lfy9dp74laTXAb+nrOcfSZK+RCkI+1DKCOX3JH1muEZKBz9VadX9DeBbgyK8Dfyn7aNr3YinAh8BPgs8smvgWvB5/65xJhhe4gZjN/4tR1cHxXCvr8uNrqN0BetM0r7AKxmbQv01SU26o/VoT8rMt3tQXuNbgM7LUwBs/4vyfvtsi3jVeRMeN5mVNuSNlKK+G9eZUvNptDSq50RCnx4JvETSoNjs+sBlgzpUjepNzXqSzrC9naTbmGT2h+3VGzzN9yX9u+0fNog10VGSPgesUWt5vRz4QtegQ6/H4Dj9B0oyuDPbr1NpYDBobvH54dp1s5WkE20/cXHbZpl3UDqj3QBQa0ydAMz2hNCxjC/EHj2x/d7612/V5ZwrDhqLdJEuYxERHUjawPZvJa1Sb9Bbxt6GUsdmDeC9lOUvHx6MEo8aSW8APjFUD+UewMdsN6nJI+kRlNHP51CKIx5p+2sdY15oe0tJHwAutn3EYFuHmJ+wvZ+k7zF5IdFZvfxF0jMpSzLuR1leuTqlE1jnC0r12B2tb5JWp1yXtZoN02sdsvra/t32nfXxcsAKtjvVP5K0AmWpzl0dtYB5XepTTFMioTeSNljU9wfLD2PqJiRVVqHMdPgnjd8jkp4MPKXG/Ynt41vE7VN9/21i+wRJKwPLuVG769ZUCrCvTJnF9HjGBjdWB35k+4EztGuLJeli2w8ZejwP+PnwthhN6rnrXxJCEREd1KVjX6J0Clm/LlfZ2/ZrZnjXlkmTLAdqXkdDpXPZx4DdbHda/ldHcH4PPInSYexvlLoAWyzyFxcd8+G2z5c0aev6LrMgJC2y9lWjpW69qTMmtnHtvlRvDn42my+o1WNXLUlnMFaH7FnUOmS2Oy87lXQ28CTb/1cfrwocZ/vRHeNeYHurxW2LGHXTcbyuM5n2AtayvXFNMh88W2fa1Fmi+1HqDA4X1r4V+ILtz8zEfi0JSf9FmQH99brphZSBpP+Yub1avD4HHqJQ6SS4MHbHovdJCEVEdCDpHMoSsWMHsz4k/dJ2p9bLNc4DgLcAGzC+20mrQspziqR9KBemg5GQnSjT1zsvB6qzM3aizBDaGPgOcJTtTsth6mjq0ygXdb9S6dDyENvHdd3nPqgUYl4Yt3jvSToU2HewLE/SmsBHu17Q1FhvpBSpHu6O9hXbn+gauy+SfkTtqmV7C0l3Ay5skcSSdL7thw+PPEs63fZjF/e7SxD7ItsPW9y2pYh3b0pR968BL2L8yP7Btjeb+t6Oe57lgHsx/pj6u4X/RoyShSRZbgF+a/uOjrGHZ6gtTynE+5epzj6apuP1RcAjgHOGrnEubnF86pOk18/ypcKTqjNBBs0cTpsjy/N6G3iI6ZEaQhERHdm+RhrX/KtVZ5KjgYMpNQZadzuZi14BPHJoOdCHgLMYa8Xcxc8prcrfY/usBvEAqMtnvj30+Ho6trwe1A1ZxHNOeXmU7R2m+rtL4aHDNZps/1nSlJfQDXO/3dH60mdXrT7rkP1F0laDWQiSBjPgpuqpwEsp9aQ+NrT9NuDtHeLeRdLrKTcufwT+VTebMiofAXAQpfj/xfXxQyjnh7UlvapLMt/2uI5ikp5DSbZMNd50HK//Yfv2wTVOTVjP2tkEkp5g+yTg95Mts+m6tKZPkj7kUtD825Nsm83SAGWaaHwTm4FbgPNtXzTVuEkIRUR0c41KVyBLWh7Yh1L3p4U7bLcsBjvXifGJsTsZm0XQ1f0HtYnmgGf2/QR1ZtMbgfVt71WnhG9q+/sNws+TtKbtP9fnWotG1yMqHakuGUpSrCbpkbbPaRG/J3121dqPUk9jH0odsidQZlC1in20pMGyjPtQljhMie1DgUMlPc8T2mg3tC/lfXxTT/Fj7rsa2NP2JQB1CedbKJ+fb1M69TVh+7uSOjcGqEtjX0NJhJtSo+3gwdLZjk6V9HZgpVr/6DXA9xrE7cvjgJMoM1UmMkPJllnoySxYDPzpk2ybbdIAZfpsXf8MPoPPAH4GvErS0bY/PJWgWTIWEdFBrTfzSUqNmEFb53273HBorPX3PsANlOUvw608W7T+nnP6WA60sMLMA7O9QHNfJH2D0j3qJbYfLGklSnHmhzWI/RLgbZTOKQZeABxo+7AGsS8Ethok9+pF6nmzuf5MXaLyaeDBwC+pXbX6qI/VmqS7M1b8+XLb/1zMrywq1u62vybpTUxeLP1jk/za0j7HycCTuy79iWXXopZCdlkSWeMMz1iZR7mxe5ztR001Zo17FGUm3aAJwq7AmrY7d+erx9A9GV8Iu3NntL5J2sj2bxa3bTaQ9GpKou3+wK+HvrUacKbt3Wdkx5aQ0gBl2kj6CfC8CbX7vkkpeXC+7c2nEjczhCIiOrD9J2C3xmEntv5+y/BT0qb195zT03Kgj3TesWmmBTsl3fUt2nXD2dj2CyXtSgn6N01YFzlVtr8q6TzKbBUBz7V9aYvYlIGuu14b2/+qSxxms0soo9rjump1CTiNic5NGSskuqUkbH91irFWqV9XbbJnk7sKOEXSDxifZO+cbIplxhWSPgscWR+/EPgfle53U054VsOzVu6gzEZ6dseYUGa9DTcqOFlSq4Ty621/krJ0HSiFm+u22exblKV/w75Jae4w2xwB/IhSmHl4xthtc2EA0PbP6l//j1I/KPqzPnD70ON/AhvUa7Qpd+Kc7RdJERGzmqT5wCuBDRlfpHTKBXJtb9R9z5ZNdSlQs05X7tCRa6ZMrEPRk9vrrKDBTJuNGbqB7qomgFolgYZdVYuPD5ZavoaSBJjNzqozmC4ZbJB0AQvezCyN3hOdkg6gtHXeHPghZWnDGcCUEkK2P1e/vrvRLk7md/XP8vVPxEQvpRw39qMkaM8A3ky58epUs8d2XzfLF0radjAjQ9IjgTMbxd6DMgt62Esn2TYrSNoMeBBwjwkzslZnqAPWbGL7Fsoy4V1nel+mIg1QptURwNmSjqmPnwV8XdIqdLimypKxiIgOJP2Usl7/fIbq27SogSFpZ+DHtm+T9E7KDeJ750CR3DlD0lG2XzBJoebBbJtZX2xW0j0Z3+q1c8ckSU8B3kG52T8OeAzwUtundI3dp/pafIoy+8jAicB+tm+Y0R2bxDR21Voe2Izyelxh+/bF/MqSxr0Y2ILSEW0LSfcCvmh7stodSxO3eZK9xl0OOHS2L7+IZY+kT7PoGXv7TDHu4Lw1WLr5u/p4A+BSd+h2WmeHvogyI/f0oW+tBtxp+0lTjd0nSc+mLCffETh26Fu3AUfa/ulM7NeyrM5GO5gFr4M7dWmNydUGDoOZ8mfYPq9rzMwQiojoZuUeO0D8p+2jJW1H6cDzEcpJ95E9Pd8o2rd+7b1Qc2uSdgQ+CqxLqTW1AWUd/4O6xrZ9nKTzgW0pFx371uWRs1pN/Owy0/uxhKajq9YzKMeMX1P+HzeStLftHzUI/7e6JO8OSatT3oMtlrMeQ7kBPYGG3RVt3ylpvqTlWyXFYtmxiMEBoFv3RqDzDdtC9Hne+imlI+Y6lPPMwG3AL3p83k5sHwMcI+lRbtgxNBYpDVCmUU20NU22ZYZQREQHkt4H/NT2D3uIfaHtLSV9ALjY9hGDba2fa9TV6baDG9wHUGZU/KhLkdy+1VG5JwAn1PfJDsCutvdqEPubwJcpM9T+tbifn40kXTCbi0kP9NlVS9LlwDNtX1kfbwz8oMXsI0kHURJXuwBvotSPuKjrspiuhXsXE/tzlJmWxwJ/GWxPDaGQdB/b10vaYLLvu7TTbvVcq5eQvq1VzBivnsc/C9yrNkZ4KLCj7ffN8K4tM9IAZdmRhFBERAe1wO8qlJPgP2lY2FfS9yntO59EKYT4N+DcCcUjo4E6G+axwJrA2ZQR3b/abl0wvBlJ59neuiaGtqzJrHNtP6JB7CdRikNuCxxN6eZ2ede402muJE9rsdrnseASqfc0iH2a7e2HHgs4dXhbC5I2BFa33XnmQM9J9gMm295z3aIIACRtDRxCWXYl4Gbg5bN5aU2tw/MhShtx0bZ5QW8knUqpa/O5wXlA0i+7LKOL8ST9hvENUIbZ9kg2QJmLsmQsIqKDngv8vgB4GvAR2zdLug/jO45FO7L9V0l7Ap+2/eHawnw2u7m2HD0NOFzSDZTONZ3ZPgE4QdI9KIUuj5d0DaXTzNdm88ypIT+Y6R1YQsdQCoqeT6PC3UPFVC+R9EPgKMqF+87Azxb6i0sWe6GzriRtVQu/TyXuoHuegLfXjilNk+yDxI+k1WrM/+saM5YN09S98cvAa2yfXp9zO0qCaDbXqvsw8Czbl830jiyllW2fO6E5ZpPzYxRpgLLsSEIoIqKDhdwc3QL81naniw/bfwW+PfT4esqa/mhPkh4F7AbsWbfN9nPksymzxt5A2e97AM1mOkhaG9gdeDFwIXA4pZDhHpTuUrOa7XfO9D4sofVsP61xzOHCzn+ktLUHuJEyC66Ljy7ie6YsY1xq09E9T9KDgcOAterjPwEvsX3JIn8xlnnT1L3xtkEyqD7nGTURNZv9cQ4mgwD+VJfIDjplPp9cP/VC0oqUznzbUV7v0ymNEf4+ozsWSyxLxiIiOpB0NqUmxcV100OAnwNrA6+yfdxM7VssOUnbU1oLn2n7Q5LuT+lONaXuL9NB0ocmFjSfbNsUY3+bUkfpMMpyseuHvnee7a27PkdLks6wvd0ko/yzfnmDpM9TZqVdvNgfHgGSvkq5oTi99TLF2hXyHbZPro8fD7zf9qNbPk/EsKGBoxcDKwNfpxynXgj82fY7OsbfFvg08EBgeWA54C+Nlq5/Erg38F3G14f59sJ+Zzao5/DPA48G/gz8BtitZS2oKCQdRSk2/rW6aVdgTds7z9xexdJIQigiogNJR1JawV9SH29OWdb1XuDbfRVHjZisaLKkX3TshjOI8wTbJ3WNE4sn6VLg3yg3LP9gLIk1m5eR9DYqLOkJNeZjKV3LLgJOs/3JTjtcYv98Yg22ybZFtCTp5EV827anNKtuKP55lOLuRwNbAy8B/q1roqnGPmSSzbb98q6xp0NtGDEvBbz7k+Pq3Dfbp8NHRMx2mw0vN7B9qaQtbV81Ye16RBOSXk25Eb+/pOEivqsBZ7Z4jrmYDJI0D/jFHCwa+vSZ3oEp+iplVPjT9fGulBllnUaFbZ9UC8JuA+wAvAp4ENA5IQRcJek/KfsJZUnkbxrEjVgo2ztMw3NcKWk523cCh9TZcC3iduoaOFPqkucDqAlrSWcA77F908zu2TLpQknb2j4bQNIjaXQtEtMjCaGIiG6ukPRZ4Mj6+IXA/9TOQXOh8G7MPUcAPwI+AOw/tP22UW7zWrus/VzS+rZ/N9P7sziSVrd9KyWpMhdtOmEE+OTa8a4TSSdSOjeeRZl1tI3tG7rGrV5OqbP1bcpMrNMo3fQi5rK/SloeuEjShym1clbpElDSf9TmCp9mkmLbs3k5dXUk5fP9vPp4N+AblK6t0dYjgZdIGpx31wcuk3Qxc2C2a2TJWEREJ5JWYmzZhIAzgIOAv1O6XKSLzRwg6TG2z1zcttmmdqnZxPYhktYBVrM9sjMeJJ1EmVlyLvCXwXbbO87YTi2EpO/bfuZCWvc2adlbu8S9i7L8CuBUyij5LQ1if4WyRGx4VHgP26/pGPfjwMMpy+fOpNzUnWX7b932OGLZJGkDSvH45SlNBu4BHGT7yg4xn2X7e5L2mOz7tg+dauzpIOl82w+fsG3W1b9bFtT330KlbtPsl4RQRESMvIXU41lg22wi6QBKvYhNbT9A0rrA0bYf0yC2KCOq97f9HknrA/e2fW7X2H2S9LjJtts+dbr3ZTaQ9C3gl8Dg5u3FwBa2n7vw31pszIspCay7A5sCv6uPNwAubbVkT9KqlNk7b6a891ZoEHNr4O3AhgzNks8IdsTkJO1s++jFbZttJH0EOA84qm56PvAg2wfM3F5FzE5JCEVEdCBpE8rSnc2BFQfbW4zuR/9qq/lHA/sBHx/61urATrO5KKKki4AtgQtsb1m3tSoq/VngX8ATbD9Q0prAcba36Rq7T312XuuLpBNtP3Fx26YY+6KJhe0n27aUMXsdDZb0OsqMpocDv6XMEDq9RV0rSVdQiv5fTHl/AxnBjukh6dfAf9k+eGjb920/s2Pcx1BmAm7A+ERni1mGc26wBKB2nFyFsc/5PMZmjc7qzpMR0y01hCIiujmEUrjw45QCqC9j/NKPmN2WB1alnA9XG9p+K2VEcTa73bYlGe7qptLKI21vJelCANt/rjUqZrsnAxOTP0+fZNuMq126VgbWqQm3wXFjdWDdRk/zN0nb2T6jPudjgE5Lr6YhebIS8DHgfNt3NI59o+1jG8eMWFL/BHaoyyv3tn07cN8Gcb9EWSp2PnBng3hIejrw78B9JX1q6FurA60/l83ZXm3xPxURkIRQRERXK9k+UZLqjdK7JJ1OSRLFLFeXEp0q6Su2fytptbJ5TtR+OkrS54A1JL2SUjD3C41i/1PSctRiopLmMzSjYraZjs5rPdibMjNtXcqN3CAhdCvw342e49XAobWWkID/BV7aKHYvbP9Xj+EPkPRF4ERKjaLBc367x+eMGPir7RdK+g/gdEkvYJKCzVNwi+0fNYgz7DrKkqsdKcengdsoyadZT9JDWXB5aD7rERNkyVhERAeSzqQsb/gmcBLwe+CDtjed0R2LpSLpwZRW1GvVTX+iFMj95czt1eJJejLwFMrN/k9sH98o7m6UjnlbUerPPB9452ytG1ETHmsyBzuvSXq97U8v/ic7PcfqALWr2ciS9DVgM+ASxhKctv3ymdurGBWSLhxa3vtESuJ3Ldv37Bj3g8BylO55w4nOC7rErbHvbnvOdUyV9GXgoeSzHrFYSQhFRHQgaRvgMmAN4L2U7h4fHnTeiblB0k+Bd9g+uT5+PPB+24+eyf1aEvVmf3gEtEkCRNJmwBMpyaYTbV/WIm70T9IbF/V92x+brn2ZTSRdbPshM70fMZoGnbuGHm9AGXh4T8e4J0+y2baf0CXuXCbpUtubz/R+RMwFWTIWEdGB7Z/Vv/4fpX5QzE2rDJJBALZPaVyTpzlJewPvodSE+RclcWNgyoVEJa019PAG4OvD35vts23iLoP6GZsC2wCDujnPohRpnrV6Lgx+tqTNbV/aIFbE0tpP0p22fwilHpek9boGtb1D911b5pyVz3rEkskMoYiIDmob43ewYHePtDGeQyR9B7iAsmwMYHdga9vPmbGdWgxJvwIeZftPDWP+hpJUmqwwutM9b26RdBzwPNu31cerAUfbftrM7tnCLaSrUavueZcBGwO/oSytEeV9neN19E7SVcA1wEm23123de7YVZfMHgBsXzedCrzH9i1d4s5lkrYHvgf8gXzWIxYpM4QiIro5nEnaGMec83Lg3ZQaDKLMopjtM75+Dfy1ZUDbG7WMN1P6WkbXB0k7UW4Qb6mP1wAeb/u7DcKvD9w+9Ph2SpHVWWeaCoPP2kRYjISbKctwPyXpe5SBhxa+DPwSeEF9/GJKB9Tndg0s6XhgZ9s318drAkfafmrX2D37MuV1yLVZxGJkhlBERAeSzrC93UzvR4weSVtSLvrPYXwh0X0axX8usB1lxtDpjRIUvZqwjG5wgTOrZzZJusj2wyZsu6v4bMfY76DcJH6H8nrsBBxl+/1dY7c2lwuDRyyJCUWlXwq8CVjTdqdlYws5hiywbYqxFzgWtTo+9UnSSaNcQyliaWSGUEREN2ljvAyoo7UTR0huobTd/Zztv0//Xi3W5yid7ZqPgEo6CPg3xmoIvUrSk22/tuXz9ODNwINaLqObBvMm2dbk+sz2gZJ+ROmECPAy2xe2iN1anSF1C7CrpOWAe1Feh1UlrWr7dzO6gxHdHTz4i+2vSLoYaHFM/Zuk7WyfASDpMZSkeAv/krT+4PNXC2HPhdkEl0s6grJsLNdmEYuQhFBERDcvo7QxvjtDrU0pS49i7rgKmM9YAuSFwB+BBwBfoEw9n23usL3IblIdPA54sOs0YkmHUhJPs13zZXTT4DxJH6O0oDbweuD8hvFXBm61fYik+ZI2sv2bhvGbkvQ64F2Uz9/wMTW1P2JOs/05AEn3BFYEbqS817t6FfDVOssO4M/AHg3iQqmReIakU+vj7YG9GsXu00qURNBThrbl2ixiElkyFhHRQdoYLxsknWZ7+8m2SbrE9oNmat8WRtKBwG9ZcAS08/IaSd8G3mD7t/XxBsAHbe/aNXaf+l5G14faze4/gSdR6lcdB7zP9l8axD4A2BrY1PYDJK1LKSr9mK6x+yLpSuCRtm+a6X2JaEnSs4CPAetSujiuD1xm+8Ed4z7c9vm1dhq2b53Y4r5j/HWAbSnHp7Pm2AzMiFiMzBCKiOgmbYyXDfMnTItfH1infu/2hf/ajHpR/fq2oW2d2s4PWRu4TNK59fE2lDa+xwLY3rHBc/Sht2V0famJn/0X+4NTsxOwJaWDHravq53GZrNrKEvHIpY176MkVk6wvaWkHYAWSfYvSNrD9sUAknYB3kAZLJgSSZvZvlzSoAPadfXr+vVceUG3Xe6XpPWATwOPoZwXzwD2tX3tjO5YxCyUhFBERDfbAXvUdt1pbTp3vYkyLf7XlP/DjYDX1Nkbh87oni1Ezx3B/l+PsfvU5zK6piR9wvZ+C6lf1SrpdrttSxos/VulQcxeSBr8v10FnCLpB4yf5fWxGdmxiHb+afsmSfMkzbN9sqQPNYj7fOCbknajXJO8hPFLpabiTcArgY9O8j0Ds71g8yHAEcDO9fHudduTZ2yPImapLBmLiOigLqVZwGCpTcwdklag1IMScPksLSQdi9DnMrrWhpZ5PG6y79s+dbLtS/kcbwY2odwEfQB4OfB125/qGru1urxtoWy/e7r2JaIPkk4AngN8kDIL8wZgG9uPbhD7AcB3KTPsnmO7VVHpOanPzmsRy5okhCIiIgBJjwY2ZGj2rO2vztgOzQBJZ9jeTtJtjJ+1Mpj5tvoM7doSqTP1JprVbef7JunJlNkCAn5i+/gZ3qWIkSRpZeDvlM/i7sDqwOFTTVjXLmXDx+l7UpZb/gOgy0xlSc9d1Pdne7eumnz7CmONInaldFl84oztVMQslYRQRESMPEmHARsDFwF31s2ercWIJQlYz/Y1M70vMTWT3MyN02LZqaQ9bX9p6PFywDtn82ybhSyhuwU4D/hcZu7FXLOQRLvq138B/wv8l+2DljLupDOUB7rMVJZ0yKJD++VTjT0dah3AzwCPorzmP6XUEMrs7YgJkhCKiIiRJ+kyYHPPoZOipPNtP7yHuPOAX3TtfDMTJL1ksu2zcaZXnzdzQ89xBLAGsCdlicohwKm239w1dl8kfRKYz9jI/guBP1DaSK9u+8UztW8RfZC0NvBT25vO9L5ExOhJUemIiAj4JXBv4PqZ3pGlcLakbWz/rGVQ2/+S9PPhrmtzyDZDf18ReCKlw9asSwhNx0i17RdJeiGl69pfgV1tn9n383a0pe3thx5/T9JptreXdMmM7VVET2qh6cfP9H4MGyryPqnZXuRd0qGUGUE318drAh+d7TObImZCEkIRERGlxfyltc36cDHi2dpeHWAH4FWSrgb+QtsOd/cBLqmvx18GG2f564Ht1w8/lnQP4LAZ2p1FmqRO013folG9JkmbAPsC3wIeCLxY0oW2/9o1do/mDycj69KPder3bp+53Yroj+3ZNhix2kzvQEcPHSSDAGz/WdKWM7g/EbNWEkIRERHwrpnegSl4eo+xZ22NmaX0V0qXrVnH9nTccH0PeJ3tE2rdqTcCPwMeNA3PPVVvAs6Q9GtKcmwj4DWSVgEOndE9ixgRs7nO2BKaJ2lN238GkLQWue+NmFRqCEVERMxRkrYDNrF9iKT5wKq2J+u0tbRxP2T7rYvbNttMKEg8D9gcOMr2/jO3V0tG0j0py9wAaLFcT9Lqtm+dsG0T27/qGrtPklYANqMkhC5PIemImSFpRUoNsgcx/vg0q5de1XpybwO+STknvAA40PasnDEaMZOSEIqIiJE1l9usSzoA2BrY1PYDJK0LHG37MQ1iX2B7qwnbftFoOVpvJD1u6OEdwG9tXztT+7MkJO0IfBRYF7gB2AC4zHbnWTxzrMj2E2yftLB217O9zXXEskjS0cDlwIuA9wC7UY5P+87oji0BSZsDT6Ccz0+0fekM71LErJSpcxERMbJsb1e/zsV6CTsBW1KKJmP7Okmd/h2SXg28Bri/pF8MfWs1YLYXI8b+/+3de5DvdX3f8efrqIg3LiZGzcWjUpRGAiJScYohMGLUKIkxx0vipTJRG2Npo1I7UYdOvI3U6ETT8daUoIQomtiqFSkiAUURy028jqKDU01KjQFPUUHx1T9+v4U9e5ZzOPDb/fx+u8/HDLP7+3x3lxfnj+Xse9+f97vnj85wO7waOBL4eNvDkhwDPHNGX3thhmwDRwOfAJ68yrMCFoSk9ffP2m5L8pttT5tuLjx7dKjbYloAsggk7YYFIUmSFtONbZukANMZK3fUGcBZwOuB5destrf93gy+/pqadpe8Afg5Jr8VnvtOL+DH0y1DW5JsaXtekjfM4gsv0pDtticn2QKc1fbM0XkkAfDj6dtrkxwM/APwwHFxJM2aBSFJkhbTmUneAeyX5PnACcC77sgXbHsdcB2z61BZb6cAT2775dFB9sC1Se4JXAD8VZJrmFx3WwtzO2QboO1Pk7wYsCAkzYd3Tle2vxL4EHBP4FVjI0maJWcISZK0oJIcBzyOSSfM2W3PGRxpqCQXzmKG0nqadnb9kMkQ7N8D9gVOn0VH1q0M2X7/PA8HT/IqJn8e7wOuXzpfhA41aaNJ8qCViwpWO5O0uCwISZK0gJL8EZMf7ud6aPJ6SvJnwP2A/wbcsHQ+zwOJ13Kj24IO2V7tB822ffC6h5E2uVtZMHBJ28NHZZI0W14ZkyRpMe0DnJ3ke8B7gQ+0/T+DM422D5NrUY9bdjbvA4mPA1YWf56wytnt8cS1KjatlbYPGp1B2uySHMRk1fy+Kzb/7cOy9fOSFp8dQpIkLbAkhwBPB54K/O+2jx0cSbfB8o1uwFXLHt0LuLDts2bw71jtt/ufb3vIHf3aayXJ3kz+XI5iUsz7JPD2tj8aGkzaRJL8JvBbwPFMZgct2Q68t+2nR+SSNHsWhCRJWmBJ7gdsA54B3Guef9hfK0n+fdtTkryVW2bm3KztiQNi7dJ049f+rMFGt/UoNq2VJGcy+aHz9OnRM4H9224bl0ranJI8uu1nRueQtHa8MiZJ0gKa/tD/dOA+wAeA57f90thUwyxtFftfQ1PsgeUb3ZIcBRzY9tQkPzuDoa1nAGexBsWmdfDQtocue31ekiuGpZE2t39Mci5w37YHTztSj2/7mtHBJM2GBSFJkhbTVuDftb18dJDR2n54+u4P2r5/+bMkc91ZkuRk4JHAQ4FTgb2YdMfc7m1py4tNs8i4zi5LcmTbiwCSPAq4cHAmabN6F3AS8A6Atp9PcgZgQUjaILwyJknSAkly7109X4AOkDVzKzNzdjqbJ0kuBw4DLm172PRsruf8rIUkVzK57ncXJsWxb01fbwW+1PbggfGkTSnJ59oekeSyZd+fLm/78MHRJM2IHUKSJC2WS7hlTk5WPCuTuTGbSpInAE8EfiHJW5Y92ofJuvV5dmPbJilAknuMDjTIk0YHkLST7yY5gOn/c5L8DvD3YyNJmiULQpIkLRDXcq/qO0zmBx3PpGC2ZDvwR0MS3XZnJnkHsF+S5wMnMLmmsam0vXp0Bkk7+UPgncBBSb4NfBOY26H0kvacV8YkSVogSQ5q+5Ukq16DanvpemeaF0nu0vbHo3PsqSTHAY9j0vF1dttzBkeSpJtNOxe3tN0+Oouk2bIgJEnSAknyzrYvSHLeKo/b9th1DzUnkhzIZLPWLwN7L523nftrdEn2YVnn9maeBSVpPiTZD3gO8EB2/P504qBIkmbMK2OSJC2Qti+Yvj1mdJY5dCpwMvBm4Bjgeew8Z2muJHkh8CfAD4GfMsm7KWdBSZo7HwUuAq5k8v1J0gZjh5AkSQtouk79Y223J3kl8Ajg1W0vGxxtmCSXtD08yZVtf2V69sm2jxmd7dYk+Rrw6LbfHZ1Fkpab9y2Nku64LaMDSJKk2+VV02LQUcCvA6cBbx+cabQfJdkCfC3Ji5M8Bfi50aF24yrgB6NDSNIq3pPk+Unun+TeS/+MDiVpduwQkiRpASW5rO1hSV4PXNn2jKWz0dlGSXIE8GVgP+DVwL7AKW0vGplrV5IcxuSq22eBG5bOndEhabQkfwi8FriW6ep5JrPqvNIqbRAWhCRJWkBJPgJ8G3gscDiTGTQXtz10aDDtkSQXA59ixYyOtqcNCyVJQJKrgEd5pVXauBwqLUnSYnoa8HjgjW2vTXJ/4KTBmYZI8mFu+e31Ttoev45x9tRP2r5kdAhJWsUX8UqrtKHZISRJkhZakqN39bzt+euVZU8leS1wNfBhdrwy5tp5SUMl+SDwMOA8vNIqbUgWhCRJ0oaRZC/gICYdQ19te+PgSLuU5JurHDujQ9JwSZ672rlXWqWNw4KQJEnaEJL8BpNNa1cBAR4EvLDtWUODSZIkzSHXzkuStICSvOG2nG0yfwoc0/bX2h4NHAO8eXAmSZKkuWRBSJKkxXTcKmdPWPcU8+Watl9f9vobwDWjwkiSJM0zt4xJkrRAkvwB8CLgwUk+v+zRvYALx6SaG19M8lHgTCYzhLYBn0vy2wBt/3ZkOEmSpHniDCFJkhZIkn2B/YHXA/9h2aPtm30zVZJTd/G4bU9YtzC7keQRu3re9tL1yiJJq0nyEOAkYCvLGgnaHjsslKSZsiAkSdKCSnIUcGDbU5P8LHCvtqttrdKcSXLe9N29gUcCVzAZhH0I8Nm2R43KJkkASa5gMqj/EuCmpfO2lwwLJWmmvDImSdICSnIyk0LCQ4FTgb2A04F/OTKXbpu2xwAkeS/wgrZXTl8fDLxsZDZJmvpJ27eNDiFp7ThUWpKkxfQU4HjgeoC232EyR0iL5aClYhBA2y8ADx8XR5Ju9uEkL0py/yT3XvpndChJs2OHkCRJi+nGtk1SgCT3GB1It8uXk/wXJt1dBZ4FfHlsJEkC4LnTtyctOyvw4AFZJK0BZwhJkrSAkrwMOJDJ+vnXAycAZ7R969BgAyW5L/A64OfbPiHJLwOPbvsXg6PdqiR7A38A/Or06ALgbW1/NC6VJEnaDCwISZK0oJIcBzyOyTDis9ueMzjSUEnOYjJP6RVtD01yZ+Cytr8yONouJbkb8IC2Xx2dRZKWJLkLOxas/w54R9sfDwslaaYsCEmSpA0hyefaHpHksraHTc8ub/vwwdFuVZLjgf8E7NX2QUkeDvxJ2+PHJpO02U2vs94FOG169Gzgpra/Py6VpFlyhpAkSQskyXYmMxx2egS07T7rHGmeXJ/kZ5j++SQ5ErhubKTdOhn4F0x+807by5M8cGQgSZo6ou2hy15/YrqKXtIGYUFIkqQF0tZNYrfuJcCHgAOSXAjcB9g2NtJu/aTtdUlG55CklW5KckDbqwCSPBi4aXAmSTNkQUiSpAWyu5W/bb+3Xlnm0BeBo4GHMumY+iqwZWii3ftCkt8F7pTkQOBE4NODM0kSTLaLnZfkG0y+p24Fnjc2kqRZcoaQJEkLJMk3mVyJWq2lpG037TrgJJe2fcTuzuZJkrsDr2AyHBzgbOA1bhmTNA+S3JVbiuxfaXvD4EiSZsiCkCRJWmhJ7gf8AnA68LvcUizbB3h724NGZduVJHdish3usaOzSNJKSbYBH2u7PckrgUcwKVhfOjiapBnxypgkSQskyUFtv5Jk1a6XTfoX9V8H/hXwi8Cblp1vB/54RKDbou1NSX6QZN+28z78WtLm86q2709yFJPvs28E3gY8amwsSbNih5AkSQskyTvbviDJeas8bttj1z3UnEjy1LZ/MzrHnkhyJnAkcA5w/dJ52xOHhZIkIMllbQ9L8nrgyrZnLJ2NziZpNiwISZKkhZbkWW1PT/JSpivnl2v7plU+bS4kee5q521PW+8skrRcko8A3wYeCxwO/BC4eMUqekkLzCtjkiQtoCR7Ay8CjmJSBPkkk3k5m3EY8T2mb+85NMXtYOFH0hx7GvB44I1tr01yfyabxyRtEHYISZK0gKZXjbYzGaQM8Exg/7bbxqWSJG0kSfYHfolljQSbdFadtCHZISRJ0mJ66Iq2/fOSXDEszRxIch/g+cAD2fGHlxNGZZKkRZXk1UwG9l/FLddxC2zaWXXSRmNBSJKkxXRZkiPbXgSQ5FHAhYMzjfbfmVyd+zhw0+Ast0mSg9t+YXQOSVrF04AD2t44OoiktWFBSJKkBZLkSia/ob0L8Jwk35q+3gp8aWS2OXD3ti8fHWIPvT3JXsBfAme0vXZsHEm62ReA/YBrBueQtEacISRJ0gJJsnVXz9tevV5Z5k2S1wCfbvvR0Vn2RJIDgROAbcDFwKltzxmbStJml+SRTDovvwDcsHTe9vhhoSTNlAUhSZK00JJsZ9IlFSYbx24Afjx93bb7DIx3myS5E/BbwFuA7zPJ/sdt/3ZkLkmbV5IvAu8ArgR+unTe9vxhoSTNlAUhSZKkQZIcAjwP+A3gHOAv2l6a5OeBz7TdZUeYJK2VJOe3PXp0Dklrx4KQJEnaEJK8m8lQ6U+2/croPLdFkguAdwEfaPvDFc+e3fY9Y5JJ2uySvIlJx+WH2PHKmGvnpQ3CgpAkSdoQkhwLHAU8BngwcDlwQds/G5lrd6ZDpQ9icu3tq270kTQPkpy3ynHbunZe2iAsCEmSpA1jOovnCOAY4F8DP2x70NhUty7JE5nM6LiKydygBwEvbHvW0GCSJGnDsyAkSZI2hCTnMhkq/RkmV8c+1Xau1yUn+QrwpLZfn74+APgf81zEkrSxJXlW29OTvGS1523ftN6ZJK2NO48OIEmSNCOfBw4HDgauA65N8pmVs3nmzDVLxaCpbwBzXcSStOHdY/r2XkNTSFpzdghJkqQNJck9mWzuehlwv7Z3HRxpJ0l+e/ruccBW4EwmM4S2MZkj9NJR2SRpev32xLZvHp1F0tqxICRJkjaEJC9mMlD6cOBq4AImG8c+MTTYKpKcuovHbXvCuoWRpFUkOa/tMaNzSFo7FoQkSdKGkOQkJkWgS9r+ZHQeSVpkSV4L7Au8D7h+6dy189LGYUFIkiRpkGmn0E5/GbNDSNJorp2XNj6HSkuSJI3zkWXv7w08BfjOoCySdDOvi0kbnx1CkiRJcyLJFuDj/gZe0mhJXgec0vba6ev9gZe2feXQYJJmZsvoAJIkSbrZgcADRoeQJOAJS8UggLb/BDxxXBxJs+aVMUmSpEGSbGfHGUL/ALx8UBxJWu5OSe7a9gaAJHcD7jo4k6QZsiAkSZI0QJIAD2v7rdFZJGkVpwPnLht+fwJw2thIkmbJGUKSJEmDJLmk7eGjc0jSapI8HngsEOB/tj17cCRJM2RBSJIkaZAk/xn4y7afG51FkiRtLhaEJEmSBknyJeAhwNXA9Ux+C9+2hwwNJkmSNjwLQpIkSYMk2braedur1zuLJEnaXCwISZIkSZIkbTJuGZMkSZIkAZDkSiZbxXZ6hFdapQ3FDiFJkiRJEnDrV1mXeKVV2jgsCEmSJEmSJG0yW0YHkCRJkiTNlyRHJvlckv+X5MYkNyX5/uhckmbHgpAkSZIkaaU/B54JfA24G/D7wFuHJpI0Uw6VliRJkiTtpO3Xk9yp7U3AqUk+PTqTpNmxICRJkiRJWukHSfYCLk9yCvD3wD0GZ5I0Q14ZkyRJkiSt9GwmPy++GLge+CXgqUMTSZopt4xJkiRJknaQ5EnAR9v+dHQWSWvDDiFJkiRJ0krPAL6W5JQk/3x0GEmzZ4eQJEmSJGknSfZhsmnseUCBU4G/brt9aDBJM2GHkCRJkiRpJ22/D/wN8F7g/sBTgEuT/JuhwSTNhB1CkiRJkqQdJHkycAJwAPAe4LS21yS5O/DltluHBpR0h7l2XpIkSZK00jbgzW0vWH7Y9gdJThiUSdIM2SEkSZIkSdpJkvsCR0xfXtz2mpF5JM2WM4QkSZIkSTtIsg24mEmn0NOAzyb5nbGpJM2SHUKSJEmSpB0kuQI4bqkrKMl9gI+3PXRsMkmzYoeQJEmSJGmlLSuuiP0j/vwobSgOlZYkSZIkrfSxJGcDfz19/XTgowPzSJoxr4xJkiRJkm6WJMAvMhkofRQQ4IK2HxwaTNJMWRCSJEmSJO0gySVtDx+dQ9La8Q6oJEmSJGmli5IcsfsPk7So7BCSJEmSJO0gyZeAhwBXA9czuTbWtocMDSZpZiwISZIkSZJ2kGTraudtr17vLJLWhgUhSZIkSZKkTcYZQpIkSZIkSZuMBSFJkiRJkqRNxoKQJEnSHkjyH5O8bHQOSZKkO8KCkCRJ0hpKcufRGSRJklayICRJkgQkeU6Szye5Isl7kmxNcu707NwkD1jlcx6e5KLpx3wwyf7T879L8rok5wP/dt3/YyRJknbDgpAkSdr0kjwMeAVwbNtDmRRx/hx4d9tDgL8C3rLKp74bePn0Y64ETl72bL+2R7f907VNL0mStOcsCEmSJMGxwAfafheg7feARwNnTJ+/Bzhq+Sck2ZdJ0ef86dFpwK8u+5D3rWliSZKkO8CCkCRJEgTobj5md89Xuv52ZpEkSVpzFoQkSZLgXOBpSX4GIMm9gU8Dz5g+/z3gU8s/oe11wD8lecz06NnA+UiSJC0At15IkqRNr+0Xk7wWOD/JTcBlwInAf01yEvB/geet8qnPBd6e5O7AN27lYyRJkuZO2j3tfpYkSZIkSdIi88qYJEmSJEnSJmNBSJIkSZIkaZOxICRJkiRJkrTJWBCSJEmSJEnaZCwISZIkSZIkbTIWhCRJkiRJkjYZC0KSJEmSJEmbjAUhSZIkSZKkTeb/A5ZW20MQACLEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = []\n",
    "\n",
    "for color in df['color'].unique():\n",
    "    data.append([color , len(df[df['color']  == color])])\n",
    "\n",
    "pd.DataFrame(data,columns = ['color','freq']).sort_values(by='freq', ascending=False).plot(x = 'color', y = 'freq', kind = 'bar', figsize = (20,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d7a7439",
   "metadata": {},
   "source": [
    "# Q5. Which car brand is having Maximum Average Price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c99bf852",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='brand'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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QzMwMcEAwM7PCAcHMzAAHBDMzKxwQzMwM8DgEM7NxM9nHLTggmJlNUuMdQFxlZGZmgAOCmZkVDghmZgY4IJiZWeGAYGZmgAOCmZkVkyYgSNpD0h2SFkk6aqLzY2a2opkUAUHSDOBzwGuArYEDJG09sbkyM1uxTJaBaTsCiyLiTgBJZwJ7A7dOaK7MzKaQsQ5kmxQlBGAj4N7K68Vlm5mZjRNFxETnAUn7AbtHxNvL67cAO0bEu9vSHQocWl5uBdxRc7j1gN/08Oed3un7TT+Z8uL0Tt9t+mdHxMzaPSJiwh/AS4DzK6+PBo7u81gLnN7pxyP9ZMqL0zv9WNNHxKSpMroW2FLSZpKeAswBzp3gPJmZrVAmRaNyRCyV9I/A+cAM4CsRccsEZ8vMbIUyKQICQET8EPjhAA51itM7/Tiln0x5cXqnH2v6ydGobGZmE2+ytCGYmdkEc0AwMzPAAWFSkLRJzbZnTkRe+iFph5ptezWk3a+bbZORpJUkvXSi8zFeJK0r6bOSrpO0UNJJktad6HytCMq5dnMf+23WzbbG/adLG0L5os6i0lAeEac3pD0SOBVYAnwJ2B44KiIuaEv3vIi4XdJf1R0nIq5rS38T0PgPjYgXNeRnKfBNYG5E/LFsuy4iav+upGOBnwJXRMQfmv5eSXs48LWIeKS8Xhs4ICI+35ZunU7HiYjfdfgb1wGHRMRN5fUBwHsi4q/r0ra/r07vtVeSngq8H9g0It4haUtgq4j4flu6+RHxpprPTEB0+KyujIiXdJGPvo5f9u3lXN4S+HdyDrDVKumfM0r+1mw7/ojPV9KFwGXAV8umA4FXRMQrOxx3HnBk2/n2yYh4W4d9Xgu8oC3/x3ZIvw0j3++I/88Y/jejHl/SQRHxVUnvqztGRHyqLX1tuqb0ZZ+vkeOx7um0b9s+dd+vhREx4qatzqTpZTQWks4ANgduAJ4omwOo/RIBb4uIkyTtDswE3koGiAva0r2PHBn9yZpjBLBr27Y9y/Ph5fmM8nwg8McOb+Em8gL/U0lviohfkReOJncDBwCfkbSk7HtZRJxTk/YdEfG5ZZmOeFjSO4DPt6VbWN6TgE2Bh8vPzwDuATrdZewLnC3pQOBlwMHAq6sJJL0G+DtgI0mfqfxqTWBph2Mj6Q3AicD6JU+ti+qaNclPLe+lddFeTAbb77elO7I870lvLpD0RuDb0fluqq/j93EunwocA3wa2IU8lxvPHUnvBI4F/sRQoAqg7iK5TkQcV3n9r5L2GeUtvKgVDGDZ+bZ9h/x8AXhqyfuXyHPpmg7pjwFeQV6wf0hOiHk59f+fnv43PR7/aeV5jU7Hq2il2wp4MUPjrPYig26dDYFbJF0DLLvxi4jX1eT7eWRQXat8X1rWpBLYRtXrSLbJ+ABuo5R2ukz/8/J8EvD68vP1HdKv1s22yu9+1s22yu+uK887kxP67dXaNsr7eCZwBHnBXtL0Xqv/G3Kcxy0djvkF4O8qr19D3uGNlpfnlryfD6xe8/ttgUOA/ynPrccbgLVHOfYi4PldfrYL2j9P4MYBnmtLgCeBvwC/L69/3yH9id1sq/yu13N5YXm+qbLtpx3S/xJYr8tjf4IcJLpSebwJ+Ngo+9xY/TyBdap5qzs/256fDlzQIf1NJS83ltcbAN8bxP+m1+P3ef5cAKxReb0G8KOGtH9b92hIuzcZAH9bnluPzwAv7TZ/06KEANxMXhzv7zL9QkkXkHe9R0tag/ySN7kCaK/SqNvW8jRJL4uIy2FZFcDTGtJCuWuJiJ9J2g04C3heY2LpS+QdzANk6WBf4LqG5OcD88udWADvAn7UIS8vjoh3tV5ExHmSjqtLWFMdsg4ZcK6WRFSqRSLiRuBGSV8nS6abRkTdXFR1HoiI27pM+2dJq7fyJWlz4PGavC9py/swUV/6ICK6vSNseRXwz23bXlOzraXXc/kxSSsBvyyDO39NlqSa/IrOpdWqd5Kl5K+S/6sZwB9K9Uc0/I8+CVwh6ezyej/g+A5/40/l+Y+SnkVe0DqVRv8UEU9KWlqqvR6kvnQDvf9vej0+klYD5jKyyqupimxT4M+V138mqwdHiIifjJLXatpzgHMkvSQirux2v3bTJSCsB9xailbLvvxRU7Qq5gLbAXdGxB9LQ9lb2xOVht2NgNVLsbdV3FyTLOY2mQt8RdJa5fUjQGMdKlmV0srz/ZJ2BTo1Xq5LfjkfAX4H/CYimqpd/pn8Yh9W8n8BWTRv8htJH2boInAQ+SWt02t1C8Ae5J3nU4DNJG0HHNvhswJYIOks4LsM/3y/XZP2GDLgbVLqYHcG/r49UevCXtpj/pes3hNZvdd40ZfUSrNZRBxXOgRsGBHXtKU7DPgH4DmSfl751RrAzzq8117P5feQ5+IRwHFkNeYhHY5/NHnBvrrt+Ee0J+wj+BERp0taUPIh4A0R0Wka++9LegbwH+RNTdD5/FxQ0n+RrBr8P5qrmN7D8P/NLmR1Zie9HB/yvLkd2J2sijuQLOV1Sn+NpO+Q7/X1NFQHStoJ+CzwfPL7MgP4Q10glvRZhm6CDmj/fd3nW/s3S3FjSpP0t3XbmyKspJc3pL+sLd0h5MVkNrCg8qslwGkNF6Tq/muS/+NHR0m3KvBGRjYkNjaslf2eT56I7wVmRMTGndJ3ozQuHwO8nDzBLiMv2J0alXciq6GWlNdrAFtHxNU1aReSF4tLI2L7su3n0bmR9dSazdF0F1YC/E7kBemqiGicIVLS1dHW+F23rfK7k8nS5K4R8fzSaHpBRLy4Ld1awNpko2Z1BcAlo/wvezqXe1UCzeVk1ciyUnFEzKtJ21Xwq9lvbWAThp/LTSXY6n6rklWxtd+Xkp+NI+Le8noWsGZE/Lwh/X4R8c3RtnXIT8fjlzTXR8T2rXNY0irkRJ3t7YvVfXYg29og2/6ub0i3gKyy+yZ5DToY2DIi/l9N2k43AbWfb+3fnA4BAUDSBmRjDcA1EfFgh7Tfq7xcjVygZ2HThyjpjRHxrR7y0tMFXtKPgEfJO5InKunrGrORtCfwN+RFe23gSrJu9Cs1abvuaaFcuW5eRBw02nts2+964K+inEylmL4ganoOtS62rS9S2dYxIPSYl7pqvEeB/6krRUm6glyt70wyAB4AHB4RtSU0lV4cbfm/MSK2bUu3ZkT8Xg29tzoFhW5I+s+IeE85l0d8iZtKFJKuaHpvNWm7Cn5t+xxH3kT9qpKvaP9utTV8jtB0s6Ueesyohx5tDedNNT+1AU3SNRGxo6TLyBLh/5LXn07VTDPItonqtWFETyJJCyJidvX70cvn149pUWUk6U1kkfNS8q7ws5I+EBFn16WPiGF95Mudz8ebjh8R31JvXePOYegCP6L+usbGEbFHF+laXkPeuZ8UEfeNkrbrnhYR8YSkmZKeEhF/rkvTQK1gUI7zpKSmc+tmSW8GZpRgdQTZHjPyoJVicEN+64rBnyfbdn5Ovs9tys/rSnpXtHUtBt5Mdi44qfytn5VtTf5SvtCt4DeT+vanr5NVatXeW8uyTkO9dA/VBK0ebD8hZwuuqm3/KC5RrivyPYZXGdUFqL9uBb+S5mHlbMSdvAnYvIvzp/UdXJ+sHr24vN6F/B43lb6vkvTiiGh/z8uovx5trZuv1ci78RvJz+xFwNUM3dG3O6UEyo+QPYeeDvxLh7y9m/w+PkDe/Ik8H+puiP5Y/t83SPo42a5U2xbZ7w3CCDGg1vOJfJAf3vqV1zPpoWdJ+VA69YT4AlnPd2/5MG8Cvtwh/c095v8U4IV9vO81yYbcdcgugnVpeu2F8t/kBeYjZIPi+4D3jZKPb5MX9lXK40jguw1pn0o2Ml5LVsMdT0OPLYb3RhrxaNjnTOAFlddbk0HxOcANAzjXDiS/+ItL3u8A9hvgubwA2AK4ngwGbwX+rUP666rnDlnCubpD+rtqHnc2pL265KHVC24mHXrjlTTfqn4Xu3i/3yeroVqvNyS79Dalv5W8qP+KDPQ3UXooVdJsS/892s5s+39uQ1YPD+rzXQSs22XaZwOrl+/5McCngC0a0u5QnrvumVT3mBZVRpJuiogXVl63uo29sCF99c5zJbKB+e5oqCqp1A+2np9OnrSvbkh/CvDZKAO1usj/reRF4C7yrm20wVGHko1kw/qSR3010M/I6qWzybuwXwMnRMRWDcc+pm57RHysQ/7XJ7u37VrycxE5MK2x2q4fpW0iIuL/OqS5ISK2q9vW8LtTqb+j6jSQ6nnAbuTndFGM0gNK0kbkl7taRVDb97zXagJJzyE/2+oYkD1jlHarbijHlewP7ACcRvZm+3B0qIOXNJssId9MF43ikm6OiG0qr1ciL/DbNKR/dt32iPifmrSrkJ/Rc8umOyLiL015L/s0nj9t23oeaFb2uwR4VTR3AhmzUqp4Hnle3xE9lPanRZUR8CNJ5wPfKK/3p/NU2tUG4qXANyKiU8+Px8pzt13jXgb8vaSuLvBkFVAvPkDeBXeznN576KEXSuvC383Ft7LPg2TjV6OmomzlGI1FWuXI0TPIkpAkPQQcHPVrZtxR6r7PLK/3B35R2nXqLgbVAWurkb0+RlTDtbUFPMjQuYakdaKhTUDSiSUPtzJ8oFnTYKSuqwkAIuJOSXPIHlj3Aq+OiD81pS956mqkb0R8TdkJoBX89hkt+AHzyEGEwxqtO7i08t0N8jy6pEP6Xu5gX0qW7O8m87+JpEOagnFxm7Jbd7WXXd177megGcCd5Hv+AcMDZt1I5buov1np1D7xWrJGozW4dTNJ74yI8zrkaWj/6VBCgGWNVC8j/wmXRcR3OqRdv/3uVdJW0dAvXtJHyHrd3cgGyAC+GBG1dYW93MVU9nkZ2YPg1FIv/fSIuKsh7Y/I7nzd9ifvWtvFF3JN1tqLr6QPRsTHm+r6o1LHr4beM5W0jb1oSsPvhyLikvL6FWQ1yoi7ZuUYhH9g6Fy4nGxXeAx46mgBrtyh/jhGNoK2vpyttoDW+20F+6Y2gTvI0bvdtCW1zp0HyPaD9wJrAZ+PiEVt6drHgKxPtls9TmaoqXR5DDUjcSNi34b0XZ+XJf1PIqLjZ12zz+vJDhIw+ne39b5FBrTNyLvgF9SkXQi8ufW9lvRc8uavsVFaOa7gsGp+gJMj4rGG9BcAb4zhPey+GQ1tgr2UwDV83qjVyDEd6zRdd8o+t5MlxEXl9ebADyKicVzTsP2nQ0CQ9DTgschG0a3IqH1eU/GwfEk/EhHzy+v3k/MIbV2TdiVgp4i4orzu2DWubd/1GX4XVjsnSTlJZpNz7jy3lEK+GRE7N6TfnqwXb+xL3u8deY8X370i4ntq6PIWDV3dyh1wL8X4ul48I7YNQjl/fhARWwzoeOeRbQyjlrRq9l0b2CRquj023XS0NN18lAvqtmRbwLbK3nlfiraOFiVtT+dl2edT5Dl5LsPPzaZeOh8h6+jvrWw7NCK6WtxF2TvonRHxzprfjei9VrdtLMoFeNtWwC/Xhxu7vQD38fcuj4imBm4kXRYRL6+8FvCT6rZOpkuV0WXA35Qv0I/JKqH9yXrVOq8gewfsR3b/uo3sejpCZI+ZT1LmxikffMe7PUmvI3stPIusXnh2+Rsj7mKK15MT7F1X/sZ95U6jyX+T7QGdiuWf6JTHDp7WCgYlL5eWgDtCRHyvPHfVxxmWBZh59FaMv7NcOFo9aw4i21uqx+13YsHqiOUg784/2CH/O5ON03+QdBDZo+k/m4I9OSr4BkkXMcpAsHL8S4HXkd/NG4CHyl33sDrrTqXNUTwW3Y/E7fW8pKQHaI3jaPWiaeqX/27gAEmHV867d9Hlal8RcZ2kpm6wCyR9meFzii3sdLzy+X6UkW0+Tf+jrgealePPJM+v9h6LI/4/Gt4VdiUyONf+/zXUjfcWST8E5pf87MfIXmiNpktAUOSI47lkY+7HVbrK1YkcDfwjctTmk+SMgp3u4Lqd0KzlOHJg1I8jB63sQvb+aPLniAhJ2eWp4QJcsbT9AtGuUxXMKEa9+LZTNpTVVRnVXQQ+SdZzDyvGkw2XTd4GfIyhroiXMXJkeV8TC0bEGqV9YEuGvqCdPuOTgW0lbUt+sVsXnKZqknMZql/uxlqR4xfeDpwaEcdo+EjnvpW7xZ+r+5G4vZ6XkG0y7VVrv5e0XUTcUJP+1+Q8PN+UdHZE/Edl37r3UD3vVyID8kMNyQ8jz4cjyjEvY+Skju2+TFbVDRsT1CQiji/XktZd+1ujYaBZ8TVyapo9ycB3SIf8V8chLSVvot7UkLZawnuAofPxIXKsUndiQN2pJvJBdtF7CXAVpcshnbuRXkhG8WeQ3cquAT7RIX2vE5q1Jli7EVip/HxNh/T/RN713wm8gxxo9u4O6Y8nZ2HdkIZup5TueE2PmmOeUZ7fR/YYuq78X/+T0bvq7VB57Ex2j/t4Q9q6vz1i2xjOhV4nFnx7+V89TDZm/gm4uEP6VhfMfyGrGZdtG1D+byqf6wXkvFKD/v8srPw8i2zf6Pa8vAo4YpTjfx34BVlC/SQ5rcMZ5F3qB2vSX1+eVyOrQb8J3N7h+MdUHh8iA35Tt+U9W9+/Hv4/jV12O+wzg6wN2LT1GO3/X/1MySqdQXy2M4D3juUY06WE8B7ybv87EXGLsitep54Kn4uI75afH5H0EmDEcPCW6H1Ol0eUXVMvA74m6UE6TPEcEZ+Q9Coy2DwX+JeIuLDD8d9M3nkd1ba9WqztdZ6hHUq99CHALgwV9aHDHRtARLQXw38mqamEsrCPYvyFZD38I+X12sCZEbF7TfJeJxY8kuwlclVE7KLsUtrYxRZYIulosuT0cuUgtVVq8ty0HgLQXIVFzodzPtnQe205l3/ZIT+9WjawKyLu7pSw5rz8cET8eJTjr0uOWv8/WNYOcTbZSLuQkQNAF5S/9RjwVuX6HY2lxejQ/bnGHOAkSd8iS1vdTJB4iaT/IEuj3bSB9DLQDIZ6ut2v7BF0H1A75Yzqu7Y+SgaVG9p/EdmG+jpyEGpfpkWjcj80vPfEeuSUtE29enqa06XVyA3LJktbi1ykpmmSOJQT6e1InkzXRsT/dkhb7UkT5IynX4hRuht2IukIsoj9HLIYv+xXdOhFU/atdsls1XWeFDVjHUqj2+FUeoSRvWga22VUmSai07ayfQfgK+T/HMrEgh2+0NdGxIsl3UCOzH1cNf3OK+mfSQbkayPip5I2JReNOb0t3bMi69x77nG2PCnHvDyXHLT1BxjZJbrVcFlpX6neEDxJTqj4H9G2yFLZ9zaykfXP5fWqZJvL85s+sx7z38vNAaWd5ACyijHIUsg3ovQKqklfdyMZ0TytzSLyvGn8brel35P8vm5C9lxck5xSfES1onJm4NnkqHKA15IlreeRjfsjZleQdDx57p/F8DUURp1LqpVwyj7KP+rcpkeH/Y4p+/6ivH4WnasVTia7m95WXq9NXhAG9T7eTq5pcBpDDa5v65B+Pjkj5C7lcQowvy3N5eV5CXmH13qMVt11ch/5v4usVriTrC64AHhZTbqV6HEUd9lvIZViONng17GahvyirdXFsb9DVh1+lAxO5wA/7JD+HxmlCq2ka1UtndHje/14yfsq5AC/3wAHDfBce3bdo8djrEv2Dqv73UfI6sZWtc4CsnrtaeRNUXv6LckSxK2Vc+hXHf72DTXbrh8lv+uRtQh3A+eRJa7GKtke/xeXACsP6vNpO/b5ZDff1uunkzP5rg7c2iE/7Y/GKtD2x1SvMmr1pHkDOYd8a6m/A8gPv0mvvSe6mtNFzXPst+7CmuaY+QCwfZS7DGX/4yvIO906W8XwLpeXSLqxmiBK17TosborIg7rJX2xNSNLLAvaE0X2brlR0qbRw7KAZF3x5ZVqqJeTbSgjKGcZPaakoexzbDR0E46I15cfP1ruDtei83oRzwSuVS4b+hVyZsu6z/wpyu64L1XNRG7RPFPuqyPig8q++YvJXiKXMHRuj0kMoGQSEb9V9har+91xpZdLqwT4rohonQt1vf5OpbdVzZ6onj/KGUlrqzmU63q/jVyB7gxgx4h4ULnM6m3kHXr7PsPOH3KuqMbzhy4Hmqm/ebk2ZfjaCX8hg/efJNWWqCNil6a/0Y0pHRCi9KSRdFwM72f7PeXsg0167T3R1YRmvV58KxaTd+4tS8hRp02ul7RTRFxV8vPXtM2xrzGskdyHeWTpozWR2AHkF3C/mrRdLwtY+d2PlF3wWlNavzeaR2l/hZw2odUb4y3kRWfERbnm74zaMysiPlx6Yb2avHj9l6T55NxWv6okfRd5AXwGw3uAQJ5HTQGh1R7xd2TVxu+yxnJyiYjGBXwi25Q6tgtVrB4RF0lSCVYflfRT8qJcp+ubA/L8+3S0dWmO7JHYNDVJr+fPPeXxlPJoMuIGqQtfJ9t8zimv9wK+Ua5XtWtMKMeV/BvwrIh4jaStgZdExJe7+YPTog2h1Fu+NiLuLK83I4v9z29I/09kUfVV5NTQbwO+HhEj7hhK+tacLn9FXvxGndOly3y3Go22A15IVlcE2Q3vmqisXFbStxooVyEH391TXj+bLEJW54S5i6H6301pWyM5IjpNvdHr++h64Jj6nO9fXc4HVFf/36lNoF/KbqdvJRf8uYQMVhdGxAfb0s3t9stY0p8A7EP2dtqR/Ly+Hw3rM0x16nGurbLP+mQQuIHsnfRg3blQ0nY9LX5Jv1zPH/W4RoNybqidye/u5ZXSVtPxzyMD2IciBx6uTFap1c7rNmL/aRIQ9iDr0e8sm2aRoxfP77DPq8i7PJHF/k69elCPE5p1me+muyBgZI+KpgbKSvq6Cb6+QLan/LC8fg3wyoh4f+85rifpNLJRu1piOSQi/qEm7XvJBrHFPRy/NR/QLQyVzKKuVCHpSuADMdTLaGeyS/FLentXjXk5guyJ9RuyHee7EfEXlaUaI2Lzmn1eysi1MToNXlqbbOd5olRvrBkdOhlMZcpBZbeRge84sv3k41GzuFJJ/3ayZ9jGZEDYCbgy6gd27UdWK19Kfm//hjw3aqfFL/v0dP6otzE4qIc1Giq/72rGg5K21Uni+hhar6PrgDalq4xaSpXClgytQ3x7jDJ3TAkAHYNAi3I+kLsi4nOl7vRVku6P0tOhX+0X/PK3ntn05e+z/rfrNZJ71VZiOVjSsBJLw25rAudL+h05Ad3ZEfHAKH9qH7LdpJv5gN4FnK6h5UsfpvOSkr1al5xHathnUdpHRnT1lXQGWYd9A8Mnt2vvlbRrRFxcbW9oqypqqmKa6oKsXnw2Q9VlX6S522Yv3YQ/TJ7/D8Kyqt4fk6WRJocB83o4f/6p8vNq5MJYdQsx9bxGg0bOeLApOa6jacYDyDWv12WoensnsqtqV6Z0QKj7EhWbKxd5/3Zb+n4bfb8FzJa0BXlX+D2yfu/vGtKPxQ/JqqlB6WWN5F71vKZyCYIfk/Qi8q7/J5IWR8QrO+x2J3mx6NQ1tdpn+3SGxh78AXglOSBvTEop4I0RUVuyayg1ziaXEx2tKP63ZJVJq72hlb7Vr326BoSvkZ0qup0d9bGIeEwSklaNiNuV80/VWamtiui3ZE+3Tm4je3ptTpZaHiVvSGrPn+h+DM59ZDvC6xjevrKEHBldp9cZDyAHlp5LXgN/Rq5hUdeWV2tKBwRGfomqRnyJxtDo+2RELC2B56SI+Kw6TI0xRoNuQTyAbKD7Tnl9GaOfVF3ps8TS8iC53OBvyZk6O+lmPqD26YjPIf+XB9F5OuKuRX+9pG4meyY1NsKWY7eCzGGMXH516tfrNnsoavrgd7BYOfXGd4ELJT1MzXTlxXnqbVp8yPPmEbIH4q87J60dg7MD+XkPExE3SrqZ7EXW7dxff4ns0bWSpJUi4pJSfdrJLeR1cSvy/L+D0YPgMlM6IFS+RG+PiFHnHRmDv0g6gFx8pBV8RoxOHZAvDvJgpTfRkYM85lhIOoz8Ys4ki+7viIim6qWWUecDiqF1HC4gR8q2piP+KDkdwqD02ktqPeDWkn7UBWPIC90j5AWpNeXydA4IxyjXH2gP9rUlouitm3CQU2+0usCeQt5xd9LrcrbVJVKXkmNy5jbk/QlJ66r7JWpbMx78lC5mPCiuLO0Ry6arV3aR7qrWYbo0Kt9DnhRnkYMwBvqmlF233kX+s7+h7MW0f0ScMKDjbw4sjhwl+wqy/vT0sbZRlGN3PbvieCi9aM6M+onOBnH85Todca+9pPpIP2wFselO0lfJtr/2DgNN3UJ7OXZdA27H6a/V42qHfeTpv8mL87kMv6GoWyDnqQzNeHAQ2d7wtajpMq4cQb8RWTX8ZoZqGtYkO3ysUOshrE7euc8h/9nfJy86l09oxrqknDZhNllNcD55smwVEWNuoyh3zGeRjV/LZleMiH8e67HHkKeuFl1RH/MBSfoQ2Yf8OwxNR3xWRPz7oN/H8rC8L0iTjdqWvx3QMQ8jB0o+h1w5rGUNckaCEUvlVs6xlcku6XfS3XK215LdPL/ezQ2culggRyOnDoGhC3zt1CHKQZB/T15Hql1Tfw/MaypxjcjfdAgIVaXL3knAgRExY0DH3JIcr9C+7GDj/D49Hv+6yJHQHyAbzT6rAcz7Uo69MCJ20PA1ente1WpQ1MOiK5I2jJyqvLa7bVMbhnIQ29+Ul5dF5+mIe1LakU4k2z1EQ4eEhi81Tekr+/W0vvZUJ+mL5OCx0aoNeznmWuT0Mv/O8Akgl9TdXZd9eu7SXfbbghyPsj95IT4VuGDQtRRtf3Nd4IqonyvsjRHxrb6PPV0CQima708uCXgteVfY9z+m7diXMzS8fi/K8Pqm3iZ9HP9qcprpDwF7RcRdg6o6kHRVROxUGtc+QzbAnR01/eXHQykNbU/O9dPqJz3QVayWJ+VkZns19CgaxPF7Cn5TnXJQ6eZM8QBYeqDtSc579iQ54vmk9gA0qCrc1s1SzfZnktPj9zVSeUo3KrcoR+XeQE769oGI+EPnPXrW6/D6Xr2VrM45vgSDzRjQ3DXAv5Y7pvczNLviewZ07H50PW3IGLoJL08PLK9gANP3wt9BLw24k1LpQv028mb0W2RX2peRPSC3a0veywI5jeqCQXFqeXyovP5F+Xsr1NQVa0bE75fj8XseXt/H31idnNHzjkEdsxx3HnBkDE0XvA458nLMjXZ95qenaUMmCw2Ndflbslvhd+miV4xNb5IWkr3CvkSuqPh45Xffjog3tKdfnlW48khlAP6sXFijvRg2qIvee4CnkkvxHQfsQnZBHQjlrIyfICfH2kzSduQMi40TvvXgRdXGrsjJ0sbcNtGvGL7oylaMvhjQZFEdMPZHctoTKtscEFZMbyGrQDcD/llldHlEHNseDIquF8jp04o7UrniDHJI9+7kilMHkiMOB6XX4fW9+ig5kdmlABFxQ6k2GoSVJK0dEQ/DshLChH7u0cO0IZNFRLwVaktcazN87VtbsXyKoXEj3UytUleF2zRSuR+tkcrP0dBI5X273Xm6BIQtImI/SXtHxDzlSkONE9v1odfh9b1aGhGPavjcNYOqy/skcIWks8sx30Q2Ok2IbnvpTGLtJa6HJ7LEZROup4FsEfH98uOjZE3DoN1Kdrn+IzktxnfJdoSuTJeA0CqGPSJpG3JKhFkDPH6vw+t7dbOkNwMzShfXI8gFcsYsIk6XtADYlbz4vmGQXfz68HGWYy+dcTDpSlw2oa6Q9MJux41Iei7ZE2mDiNimNEi/LiL+dUD5OZ2sjv238rrT2iQj8zdNGpXfTrbuv4hsYX86WTf9hQEdfzfyH9vV8Po+jv9UslfAsum4geMiFx6fViT9rG7MwVQh6WDgaLKDwbISV0ScMaEZs3E1hoFsPyFrG/670ug7sNHp6mFtktr9p0NAWN60HIfXryimUy+d0re7VeK6aIJLXDYBxjCQbUy9gLrI12l0uTZJnSld1NXwKY9HiJr5Qfq0bQx4eD2ApO/ReZ3VQfQymiymTS+dEgAcBFZgYxgv8hvl3GWtXkD7MspMuD36a4bWJoFcQ+G2VolmtAF/UzogMHLK41Y9/14MaMrj4ipJWy+HO8FPlOc3kHfNrcFoBwB3D/hvTSj30jED4HBy1tXnSfo1OUL7wAEef0wD/aZFlZFyArc3xtCUx2uQ8+MMZBTk8h5eL+myiHj5aNumg7o5muq2mU1Hytl39yU7vaxDNgBHRBw7kflqmeolhJZNger84n9msL2Mlvfw+pmSnhMRdwKUMQgzl/PfnCjupWMrsuoCPE0L+0yY6fJFPAO4RlJrVbB9gG5XJRrVOMwv817gUkl3ltezgHcu5785USbVuAizcdbrAjzjalpUGcHynfJ4PJSiZGsRi9ujuwXlpyT30rEVlSb5ehfTJiC0SDo0Ik6Z6Hz0ooxDeB/w7Ih4RxmctlVlVKOZTWH9jlsYb9MxIIxYNm+yk3QWuTbrwWX04urkcp3bTWzOzGwQ+h23MN6mSxtClUZPMulsHhH7SzoAICL+pLaJjcxs6posF/zRrDTRGRiE0lOlZa/GhJPXn0upoDVYZXO6mznRzGxgpksJ4Wrl0oynAudNcF76cQzwI2ATSV8DdiYXzDYzGzfTog2hVK+8klx9a0dyybjTIqLraV8nWlnUYieyyuuqiPjNBGfJzFYw0yIgVEnahZwC4mnAjcBREXHlxOaqM0mvBy6OiEfL62cAr4iI705kvsxsxTItAkK5uz6IXM7uAXJB6XPJBa6/GRGDWn1suaib7dDTOZjZeJsubQhXkqOV94mIxZXtCyQNZE2E5ayucX+6fDZmNkVMlxKCIiIkPS0i/jDR+emVpK+Q85t8juxp9G5g7Yj4+wnMlpmtYKZFt1NgJ0m3ArcBSNpW0ucnOE+9eDc5Id9ZwHzgT+Q0uWZm42a6lBCuJqeUPXd5LEu3PEmaAZwfEa+c6LyY2YptupQQiIh72zY9MSEZ6VFEPAH8UdJaE50XM1uxTZeGy3slvRQISU8BjqBUH00RjwE3SboQWNYGEhFHTFyWzGxFM10CwruAk4CNgMXABUytOvgflIeZ2YSZFm0I00GZy2jTiLhjovNiZiumKV1CkPRZyoRwdaZKlYukvYBPAE8BNpO0HXBsRLxuQjNmZiuUKR0QgAUTnYEB+Sg5B9OlABFxQ1lX2cxs3EzpgBAR80q3zRMi4gMTnZ8xWBoRj7YtgeC6PDMbV1O+22nptrnDROdjjG6W9GZghqQtS1XYFROdKTNbsUyLRmVJnyTXKf0mw7ttfnvCMtWDsqbyh4BXl03nA8dFhBfJMbNxM10Cwqk1myMi3jbumemDpNlkQJjFUDXepFl428xWDNMiIEx1ku4A/gm4GXiytX2qrMNqZtPDlG5UbpG0GjAXeAGwWmv7VCkhAA9FxPcmOhNmtmKbFgGBXAvhdmB34FjgQKbW1BXHSPoScBGwrN1gqrSBmNn0MC2qjFqri0n6eUS8SNIq5Ayiu0503roh6avA84BbGKoymjJtIGY2PUyXEsJfyvMjkrYB/pdsoJ0qto2IF050JsxsxTblxyEUp0haG/gwuZbyrcCJE5ulnlwlaeuJzoSZrdimS5XRqsAbyVLBKmVzRMSxE5apHki6DdgcuItsQxDudmpm42y6VBmdAzwKLKTSKDuF7DHRGTAzmy4lhCmxXKaZ2WQ2XdoQrpDkRlkzszGY0iUESTeRs4KuTM5ldCeugzcz68tUDwjP7vR7T/1gZta9KR0QzMxscKZLG4KZmY2RA4KZmQEOCGYdSZol6eZx+DunSdp3ef8ds04cEMzGqKzrbTblTZeRymbL08qS5gHbA78ADibny/oKuezpf0laAzgUeAqwCHhLRPxR0mnA74HZwDOBD0bE2ZIEfBbYlZyyROP7lsxGcgnBbHRbAaeUcS2/B/6hbH8sIl4WEWcC346IF0fEtuRaHHMr+28IvAzYEzihbHt9Oe4LgXcAL13+b8OsMwcEs9HdGxE/Kz9/lby4A5xVSbONpJ+WwZIHkqv3tXw3Ip6MiFuBDcq2lwPfiIgnIuI+4OLlmH+zrjggmI2ufbBO6/UfKttOA/6xrGvxMSpLuTJ8wsVq1ZAHAdmk4oBgNrpNJb2k/HwAcHlNmjWA+8tqfQd2cczLgDmSZkjaENhlMFk1658DgtnobgMOkfRzYB3g5Jo0HwGuBi4k1/cezXeAXwI3leP9ZDBZNeufp64wMzPAJQQzMyscEMzMDHBAMDOzwgHBzMwABwQzMyscEMzMDHBAMDOzwgHBzMwA+P/y8h7FXFgd+wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby('brand').mean()['price'].sort_values(ascending = False).plot.bar()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3794760a",
   "metadata": {},
   "source": [
    "# Q6. Which State is having most expensive cars\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "cdc0d026",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='state'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby('state').mean()['price'].sort_values(ascending = False).plot.bar(figsize = (15,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "116565de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='year'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby('year').mean()['price'].sort_values(ascending = False).plot.bar(figsize = (15,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "92bc5296",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "91b38aed",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}