PyBer_ride_data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "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>Month</th>\n",
       "      <th>Avg. Fare ($USD)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jan</td>\n",
       "      <td>10.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Feb</td>\n",
       "      <td>23.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mar</td>\n",
       "      <td>39.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>April</td>\n",
       "      <td>35.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>May</td>\n",
       "      <td>32.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>June</td>\n",
       "      <td>27.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>July</td>\n",
       "      <td>43.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Aug</td>\n",
       "      <td>10.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Sept</td>\n",
       "      <td>11.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Oct</td>\n",
       "      <td>27.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Nov</td>\n",
       "      <td>20.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Dec</td>\n",
       "      <td>20.09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Month  Avg. Fare ($USD)\n",
       "0     Jan             10.02\n",
       "1     Feb             23.24\n",
       "2     Mar             39.20\n",
       "3   April             35.42\n",
       "4     May             32.34\n",
       "5    June             27.04\n",
       "6    July             43.82\n",
       "7     Aug             10.56\n",
       "8    Sept             11.85\n",
       "9     Oct             27.90\n",
       "10    Nov             20.71\n",
       "11    Dec             20.09"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "# Dependencies\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "# Load in csv\n",
    "pyber_ride_df = pd.read_csv(\"Resources/PyBer_ride_data.csv\")\n",
    "pyber_ride_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pyber_ride_df.plot(x=\"Month\", y=\"Avg. Fare ($USD)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set x-axis and tick locations.\n",
    "x_axis = np.arange(len(pyber_ride_df))\n",
    "tick_locations = [value for value in x_axis]\n",
    "# Plot the data.\n",
    "pyber_ride_df.plot(x=\"Month\", y=\"Avg. Fare ($USD)\")\n",
    "plt.xticks(tick_locations, pyber_ride_df[\"Month\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pyber_ride_df.plot.bar(x=\"Month\", y=\"Avg. Fare ($USD)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pyber_ride_df.plot(x=\"Month\", y=\"Avg. Fare ($USD)\", kind='bar')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add Matplotlib inline magic command\n",
    "%matplotlib inline\n",
    "# Dependencies and Setup\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Files to load\n",
    "city_data_to_load = \"Resources/city_data.csv\"\n",
    "ride_data_to_load = \"Resources/ride_data.csv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>city</th>\n",
       "      <th>driver_count</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Richardfort</td>\n",
       "      <td>38</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Williamsstad</td>\n",
       "      <td>59</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Port Angela</td>\n",
       "      <td>67</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Rodneyfort</td>\n",
       "      <td>34</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>West Robert</td>\n",
       "      <td>39</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>West Anthony</td>\n",
       "      <td>70</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>West Angela</td>\n",
       "      <td>48</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Martinezhaven</td>\n",
       "      <td>25</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Karenberg</td>\n",
       "      <td>22</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Barajasview</td>\n",
       "      <td>26</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            city  driver_count   type\n",
       "0    Richardfort            38  Urban\n",
       "1   Williamsstad            59  Urban\n",
       "2    Port Angela            67  Urban\n",
       "3     Rodneyfort            34  Urban\n",
       "4    West Robert            39  Urban\n",
       "5   West Anthony            70  Urban\n",
       "6    West Angela            48  Urban\n",
       "7  Martinezhaven            25  Urban\n",
       "8      Karenberg            22  Urban\n",
       "9    Barajasview            26  Urban"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read the city data file and store it in a pandas DataFrame.\n",
    "city_data_df = pd.read_csv(city_data_to_load)\n",
    "city_data_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>city</th>\n",
       "      <th>date</th>\n",
       "      <th>fare</th>\n",
       "      <th>ride_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lake Jonathanshire</td>\n",
       "      <td>2019-01-14 10:14:22</td>\n",
       "      <td>13.83</td>\n",
       "      <td>5739410935873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>South Michelleport</td>\n",
       "      <td>2019-03-04 18:24:09</td>\n",
       "      <td>30.24</td>\n",
       "      <td>2343912425577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Port Samanthamouth</td>\n",
       "      <td>2019-02-24 04:29:00</td>\n",
       "      <td>33.44</td>\n",
       "      <td>2005065760003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Rodneyfort</td>\n",
       "      <td>2019-02-10 23:22:03</td>\n",
       "      <td>23.44</td>\n",
       "      <td>5149245426178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>South Jack</td>\n",
       "      <td>2019-03-06 04:28:35</td>\n",
       "      <td>34.58</td>\n",
       "      <td>3908451377344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>South Latoya</td>\n",
       "      <td>2019-03-11 12:26:48</td>\n",
       "      <td>9.52</td>\n",
       "      <td>1994999424437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>New Paulville</td>\n",
       "      <td>2019-02-27 11:17:56</td>\n",
       "      <td>43.25</td>\n",
       "      <td>793208410091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Simpsonburgh</td>\n",
       "      <td>2019-04-26 00:43:24</td>\n",
       "      <td>35.98</td>\n",
       "      <td>111953927754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>South Karenland</td>\n",
       "      <td>2019-01-08 03:28:48</td>\n",
       "      <td>35.09</td>\n",
       "      <td>7995623208694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>North Jasmine</td>\n",
       "      <td>2019-03-09 06:26:29</td>\n",
       "      <td>42.81</td>\n",
       "      <td>5327642267789</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 city                 date   fare        ride_id\n",
       "0  Lake Jonathanshire  2019-01-14 10:14:22  13.83  5739410935873\n",
       "1  South Michelleport  2019-03-04 18:24:09  30.24  2343912425577\n",
       "2  Port Samanthamouth  2019-02-24 04:29:00  33.44  2005065760003\n",
       "3          Rodneyfort  2019-02-10 23:22:03  23.44  5149245426178\n",
       "4          South Jack  2019-03-06 04:28:35  34.58  3908451377344\n",
       "5        South Latoya  2019-03-11 12:26:48   9.52  1994999424437\n",
       "6       New Paulville  2019-02-27 11:17:56  43.25   793208410091\n",
       "7        Simpsonburgh  2019-04-26 00:43:24  35.98   111953927754\n",
       "8     South Karenland  2019-01-08 03:28:48  35.09  7995623208694\n",
       "9       North Jasmine  2019-03-09 06:26:29  42.81  5327642267789"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read the ride data file and store it in a pandas DataFrame.\n",
    "ride_data_df = pd.read_csv(ride_data_to_load)\n",
    "ride_data_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "city            120\n",
       "driver_count    120\n",
       "type            120\n",
       "dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the columns and the rows that are not null.\n",
    "city_data_df.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "city            0\n",
       "driver_count    0\n",
       "type            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the columns and the rows that are not null.\n",
    "city_data_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "city            object\n",
       "driver_count     int64\n",
       "type            object\n",
       "dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the data types of each column.\n",
    "city_data_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Urban', 'Suburban', 'Rural'], dtype=object)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the unique values of the type of city.\n",
    "city_data_df[\"type\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "66"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the number of data points from the Urban cities.\n",
    "sum(city_data_df[\"type\"]==\"Urban\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "city       2375\n",
       "date       2375\n",
       "fare       2375\n",
       "ride_id    2375\n",
       "dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the columns and the rows that are not null.\n",
    "ride_data_df.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "city       0\n",
       "date       0\n",
       "fare       0\n",
       "ride_id    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the columns and the rows that are not null.\n",
    "ride_data_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "city        object\n",
       "date        object\n",
       "fare       float64\n",
       "ride_id      int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the data types of each column.\n",
    "ride_data_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>city</th>\n",
       "      <th>date</th>\n",
       "      <th>fare</th>\n",
       "      <th>ride_id</th>\n",
       "      <th>driver_count</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lake Jonathanshire</td>\n",
       "      <td>2019-01-14 10:14:22</td>\n",
       "      <td>13.83</td>\n",
       "      <td>5739410935873</td>\n",
       "      <td>5</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>South Michelleport</td>\n",
       "      <td>2019-03-04 18:24:09</td>\n",
       "      <td>30.24</td>\n",
       "      <td>2343912425577</td>\n",
       "      <td>72</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Port Samanthamouth</td>\n",
       "      <td>2019-02-24 04:29:00</td>\n",
       "      <td>33.44</td>\n",
       "      <td>2005065760003</td>\n",
       "      <td>57</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Rodneyfort</td>\n",
       "      <td>2019-02-10 23:22:03</td>\n",
       "      <td>23.44</td>\n",
       "      <td>5149245426178</td>\n",
       "      <td>34</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>South Jack</td>\n",
       "      <td>2019-03-06 04:28:35</td>\n",
       "      <td>34.58</td>\n",
       "      <td>3908451377344</td>\n",
       "      <td>46</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 city                 date   fare        ride_id  \\\n",
       "0  Lake Jonathanshire  2019-01-14 10:14:22  13.83  5739410935873   \n",
       "1  South Michelleport  2019-03-04 18:24:09  30.24  2343912425577   \n",
       "2  Port Samanthamouth  2019-02-24 04:29:00  33.44  2005065760003   \n",
       "3          Rodneyfort  2019-02-10 23:22:03  23.44  5149245426178   \n",
       "4          South Jack  2019-03-06 04:28:35  34.58  3908451377344   \n",
       "\n",
       "   driver_count   type  \n",
       "0             5  Urban  \n",
       "1            72  Urban  \n",
       "2            57  Urban  \n",
       "3            34  Urban  \n",
       "4            46  Urban  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Combine the data into a single dataset\n",
    "pyber_data_df = pd.merge(ride_data_df, city_data_df, how=\"left\", on=[\"city\", \"city\"])\n",
    "\n",
    "# Display the DataFrame\n",
    "pyber_data_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>city</th>\n",
       "      <th>date</th>\n",
       "      <th>fare</th>\n",
       "      <th>ride_id</th>\n",
       "      <th>driver_count</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lake Jonathanshire</td>\n",
       "      <td>2019-01-14 10:14:22</td>\n",
       "      <td>13.83</td>\n",
       "      <td>5739410935873</td>\n",
       "      <td>5</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>South Michelleport</td>\n",
       "      <td>2019-03-04 18:24:09</td>\n",
       "      <td>30.24</td>\n",
       "      <td>2343912425577</td>\n",
       "      <td>72</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Port Samanthamouth</td>\n",
       "      <td>2019-02-24 04:29:00</td>\n",
       "      <td>33.44</td>\n",
       "      <td>2005065760003</td>\n",
       "      <td>57</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Rodneyfort</td>\n",
       "      <td>2019-02-10 23:22:03</td>\n",
       "      <td>23.44</td>\n",
       "      <td>5149245426178</td>\n",
       "      <td>34</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>South Jack</td>\n",
       "      <td>2019-03-06 04:28:35</td>\n",
       "      <td>34.58</td>\n",
       "      <td>3908451377344</td>\n",
       "      <td>46</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 city                 date   fare        ride_id  \\\n",
       "0  Lake Jonathanshire  2019-01-14 10:14:22  13.83  5739410935873   \n",
       "1  South Michelleport  2019-03-04 18:24:09  30.24  2343912425577   \n",
       "2  Port Samanthamouth  2019-02-24 04:29:00  33.44  2005065760003   \n",
       "3          Rodneyfort  2019-02-10 23:22:03  23.44  5149245426178   \n",
       "4          South Jack  2019-03-06 04:28:35  34.58  3908451377344   \n",
       "\n",
       "   driver_count   type  \n",
       "0             5  Urban  \n",
       "1            72  Urban  \n",
       "2            57  Urban  \n",
       "3            34  Urban  \n",
       "4            46  Urban  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create the Urban city DataFrame.\n",
    "urban_cities_df = pyber_data_df[pyber_data_df[\"type\"] == \"Urban\"]\n",
    "urban_cities_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create the Suburban and Rural city DataFrames.\n",
    "suburban_cities_df = pyber_data_df[pyber_data_df[\"type\"] == \"Suburban\"]\n",
    "rural_cities_df = pyber_data_df[pyber_data_df[\"type\"] == \"Rural\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "city\n",
       "Amandaburgh        18\n",
       "Barajasview        22\n",
       "Carriemouth        27\n",
       "Christopherfurt    27\n",
       "Deanville          19\n",
       "Name: ride_id, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the number of rides for urban cities.\n",
    "urban_ride_count = urban_cities_df.groupby([\"city\"]).count()[\"ride_id\"]\n",
    "urban_ride_count.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create the suburban and rural ride count.\n",
    "suburban_ride_count = suburban_cities_df.groupby([\"city\"]).count()[\"ride_id\"]\n",
    "\n",
    "rural_ride_count = rural_cities_df.groupby([\"city\"]).count()[\"ride_id\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "city\n",
       "Amandaburgh        24.641667\n",
       "Barajasview        25.332273\n",
       "Carriemouth        28.314444\n",
       "Christopherfurt    24.501852\n",
       "Deanville          25.842632\n",
       "Name: fare, dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get average fare for each city in the urban cities.\n",
    "urban_avg_fare = urban_cities_df.groupby([\"city\"]).mean()[\"fare\"]\n",
    "urban_avg_fare.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get average fare for each city in the suburban and rural cities.\n",
    "suburban_avg_fare = suburban_cities_df.groupby([\"city\"]).mean()[\"fare\"]\n",
    "rural_avg_fare = rural_cities_df.groupby([\"city\"]).mean()[\"fare\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "city\n",
       "Amandaburgh        12.0\n",
       "Barajasview        26.0\n",
       "Carriemouth        52.0\n",
       "Christopherfurt    41.0\n",
       "Deanville          49.0\n",
       "Name: driver_count, dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the average number of drivers for each urban city.\n",
    "urban_driver_count = urban_cities_df.groupby([\"city\"]).mean()[\"driver_count\"]\n",
    "urban_driver_count.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get the average number of drivers for each city for the suburban and rural cities.\n",
    "suburban_driver_count = suburban_cities_df.groupby([\"city\"]).mean()[\"driver_count\"]\n",
    "rural_driver_count = rural_cities_df.groupby([\"city\"]).mean()[\"driver_count\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x13194d56ac8>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Build the scatter plots for urban cities.\n",
    "plt.scatter(urban_ride_count, urban_avg_fare)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x13194da7908>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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19xUFNDLRJi6vwcwV+/jvin14DZNzh3bl+ok96ZDgCHdo7ZbLa3DHW8tZtqcEq0VhmjA4K5k3bxlPsrNtPenD7VD3zpkr9jVI6E67hT9cOizqj7E1fth2oMlPKj5DM3dzccCTeasGbpRSOcAoYAnQH5islFqilJqnlBrXxM9MVUotV0otLy4ubmu8ogWq3T4ufvlHnvx8E6v3lrEhv4K/fbedM56bR0F5bbjDa7eenb2FpbtLcHlNqt0GtV6DdfvK+d2nG8MdWkD8/uIhPHXpUHI6JWBRYFEwtmdH/nXzeC4bffxtmqOR1YJ/0UgjlAJbEObIWrycXymVBMwDntJaz1JKrQe+A+4HxgH/AXrrZp5QlvOHxl++3sK0+TsbfMSzKDhjcAbTbmh2VXDALdl5kIc+WEtKvJ1Xrh9N9yY22oh1w5+YTYXL1+B2h9XC5t+fE1OT4G6fgVWpoEz0RYOiSheT/jQXTyOlmnE2C7N/eXKr5hBaspy/Rf+nlVJ2YCbwrtZ6Vt3N+4BZ2m8pYAKR03WmHfvPsr2N1vuaGuZuLsLtC+0K01+8t4o9JTVsyC/n/z6LjavQ49HYOQHwmSZmCHskhUKczdpuEzlAl2Qnd53ch3i7td7t8Q4rV47tEZTJ4GOOmSt/ceTrwCat9XNH3PURcBrwvVKqP+AADgQ8QtFqtc3V+2p/UomzWZt8TKA56v6oLUoRF+IGYuCv8f33klyen7OFg9VebFbF2UO68tsLBpOR4gxZHJP6dmbuliKO2D4VBYzO7tiuE1+s+tVZ/RnQNZmX5m5nb0kNmalO7j61D5eO6haU12tJNctJwA3AOqXUoZqaR4E3gDfqhls8wE3NDbGI0BmZ3YEftjX+vpqR4iQ5LrTLC6bdOJbffrSejokOnrhwSEhfW2vNLW8u4/stP83XeA3NZ2sL+HrDfuY8cAo9Q1Qy9/iFQ1iRW4rLY+DymcTZLNitFp66dFhIXl+E3vnDMzl/eGZIXkta4MagVbmlXPOPxbi89T/Wx9st/PGy4VwSpCuDSPTtpkJue6vp37k+6Yl8++CpIYuntNrDe8tyWbO3nEGZyVwzIZsuyaH7dCCik7TAbadGZXfklevG8JuZa6ly+1AKrErx0DkD21UiB38FSXN2FFdTVOkKWULtmOjg7lP7huS1RPsiyTxGTRnYhcWPnM7Wokq8Ps3AzOR22Vc6vwWlmIXlbrk6FlFPknkMs1hUwBcmRJuOCQ7KaxuWAx6pS4rscyqiX/u7VBPtyr2nNT+kkZESF9KKFiGCRZK5iGmXj+5Ovy5Jjd6nFLx2w5gQRyREcEgyF0G352A1/5i/k7cX76G02hPS11ZK8dUvT+ba8dnYrT+tsByQkcTn901iZI+OIY1HiGCR0kQRVJ+szuOhD9ZiaI3NorBaLLx/5wkMzgr9WP6mggo2FpST6nQwqV9nnPbQLZw6RGvNgu0H2FFURXanBKYM6CJ7Y4pjktJEEVYen8mjH67HVbeM3WtowOT/fbSOWT8/KWRx5JfVMnX6cnYUV2FRCqUUWmsev2gIV47tEbI4AB77cD0frc7DMDVWi2LKgC68dO0oSeiizSSZi6DJL6tttOfIxoKKkMXg8hpc9spCiivdGGb9WP734/V0iLdz1pCuIYll9d4yPlyVV69F7NwtRczfdoBT+qe36bmr3T6e/HwjH63Kx2eaTBnQhScvGUoXmdxtN2TMXARNRoqTxkbxcjqFbseZz9YWUFHrbZDIwb9RwNNfbg5ZLHtLaji61N/Umn2lNW1+7jumL2fWSv8bhdfQfLu5kEv/vhCv0XhzL4/PZPaG/UxftJtVuaVIJ47oJ1fmImjiHVZ+dVY/nvt6Gy6vgcUCDquVx0PYn+XztfnNbjS8t7SGg1VuOiUFv9a8b5ckfEe9qSgU/TOS2/S824uqWJlbWq8ro2FCWa2HuZuLGnzy2F5UyVWvLcblM/AZGotSjOiRypu3jA/LPIIIDEnmIqjumNyH4d068NHqfBIdVq4en03fJkoFg+FYF5wKRaiuSQdlpnDPqX15+fvt2CwWfKbJ9ROzGZeT1qbn3Vdag91qadCLx+vT7CutvwLW33hsOSXVnnrHvSq3jOfmbOXR8wa1KRYRPpLMRdBN6N2JCb07heW1zxqSwdLdJU1enWekxNEpMXRb6d13ej/OGdqVHcXVZKclBKSqZ3BWSqO90q1WxYgeHerdtiG/goNV7gZvYG6fyX+W7ZVkHsVkzFzEtEtGdSPBYW10P8Z4u5WHzhkQ8kqSfhnJnDO0a8DKM7skO7nphJ71NkKIt1sZn5PG6Oz6ybzS5cPaxPE21wdfRL6IvzIvKK/lszUFVLi8nDogndHZHaWMS7RYgsPGB3edyM3/WkpRpRuzriTQMDUPntWfC0fERhfJR88bxKjsjryzeA8ur8nlY7px5dgeDf5WhndPxWs2Pik6vlfbhntEeEX0oqEv1xXwwPurMU2N19A4HVZOG9iFv109Kqb2SxTBp7Vm+Z5SNhdUkOy0c/qgLu1qt/gjvbFgF8/M3nK4RNKiwGm3MuvnJ7b7xmyRKqoXDVW6vDzw/up6kzq1HoO5m4v4cv3+kO3eIWKDUopxOWktnmz0+EzW55ejgKHdUmOqffCtk3rRp0sSr87bQUFZLWNz0rhnSl96hWjHJREcEZvMF2w7gM1iwb9P9E9qPAYfrNgryVwETYXLy+V/X0h+mb8SJLtTAh/cdSKJId5urzV2Hahm2vydfLOxEENrJvRK465T+jSYAD3klP7pbV6oJCJLxF5uNLLGo0X3CdFWz8/Zyp6D1VR7DKo9BjuLq3l57vZwh9WkH7YVc94LP/D+8lyKq9yUVHuYvWE/V09bzDuL94Q7PBEiEZvMJ/fvjK+RiZoEh5XLx3QPQ0SivdhRXI3H+OmKwe0z2VFcFcaImlbt9nHn2yuo9RocudjT1FDrNXjys43sjNDYRWBFbDJPcdr502XD63YwVyj8iXxS386cP0yGWKJFUYWL33+2kcl//o7T//I90+bviPgSuIm903Daf/rTiLdbmRChlR4frc5r9n6fqXlz4e7QBCPCKnIHAYGLR3VjdM+OfLQ6j4paL1MGduGE3p3adWlitdvHkl0HSUuMY2QT46GRIr+slvNf/IEqt6+uYyI89/VWPl6dz8y7T4zYpeNTJ/dmy/5KPl2Tj0JxwfBMbjqxV7jDatTKPaXNtivwmZqVe0pDGJEIl4hO5gA90hK477R+4Q4jIlS4vJz3wg+U1ngwTbjlpBweOmdguMNq0jOzt1Be6603x+HymewsruLDVXlcMz47fME1w2a18MLVo/jzz4YDEGeLzDcdgGSnHaWab1uQ4Ijc+EXgROwwi2ho9vr9HKzyUO02qPUavDZ/Z6PdACPF7A37G52srvWazFyxL/QBtVKczdqiRL5iTwn3v7eKa/+xmNfm7aC81huC6PwuHJHZ7CecBIeVnzXSs319Xjm/+3QDv5ixipfnbqO40h3MMEUIRPyVufhJgsPGkSNMdqtqdJl6NIjct6DWeXXedl74Zjsun4HWsDK3lNcX7OKz+yaFpJf46OyODM5MYd2+snqTtgBWiyI13s6Fw7MO3+b2Gfz8nZX8uOMgHp+BqSFug4UXv93OI+cN5OYIHU4SxyZX5lHk7CEZjMtJw2G1EGez8OzPRkT0/MHpA7s02RPl0lFZDe/Av1Jz8/4KVuWWUu32BTnCpm0vquTFb7bxt++2NVkNUljh4vk526j1GoeHOVxek4PV7pD1SVdK8eYt45jQuxNxNguOuoKBeLuVfl2SmHn3icQfMczy2Ifr+XHHAVxe4/CnJrfPxO0z+dOXW/huc2FI4haBJ1fmUcRmtfDmLeM4UOUhMc5KgiOyT99D5wxk/rYDVLt9h/t4x9ks9EiL5/LRDT/6z15fwP9+suFwMyivaXLN+GwePW9QSFdgTl+0mz98vgmvqVHAy99t54mLhnD1UWP8324qavTNyjDhqw37eS4k0frHzd++bQI7iquYt6UYw9SM65XWYIL8QJWbT9fkN9phEfyljH/5eiunDcwIRdgiwCI7G4gGlFKkJwd/I4VA6JGWwJf3T+bludv5ZlMhDquFn43pzu2Te9e7WgT4dlMh9/9ndYOe3O8tzaWows3L140OScwl1R6e+nxTvYTnMzVPfLKB84ZnknJEPxcdYYNFfdKT6JPedK/4H7cfwGZVNPeBZ8v+Sqrdvohe7SoaJ2dMBFVWh3ieunQYT106rMnHaO1PlkcncvBPln6zqZDtRVUh2dRi6a6D2K2WBlevNquF5btL6l21nj4wg//7dGOD57Ba4OwQ7SvaGj5DH3uzDuV/nIg+MmYuwm5faS3FVU1XU5im5ptNoRnLTY13NHrFrbWmQ0L9TSy6pjq5/4x+xNutHBptcdospCXG8fC5kVcyOqJHh0Y32D5SxwQHKfFyjReN5KyJsPMaJpZmJnINrfE2Mc4baBN6pdEh3k6t56cJQmvd0NaoRhZp/fzUvozPSeOtRbsprvRwav/OXDO+J6kJkddet2+XJAZnprBmX3mjJa3xdit3ndInoifVRdMkmYuwy05LwGG1UEPjKxmddmvItp2zWBTvTT2Be/69ks0FlWg0w7ql8tK1o5tMcmNz0hjbxn08Q+WV68dw8cs/UlbjqTesleCwcnL/dG4+MSd8wYk2iejNKUT78Y/5O3luztbDGyYcYrco+mYk8cUvJof8ivFglRulFGkh3CM0FCpdXv67fB//XrqHilofvTonctukXpwxKEM2fYlQUb05hWhfbp/ci+IqN28t3H14WzeLUvTLSOJfN48Ly0f/TknRUTXUWslOO7dO6sWtk2SBUCyRZC5abVNBBW8s2MXGggq6JDu58cSenNo/vU0JVynFo+cN4o7JvflucyG1HoPRPTsyvHtkNxMTIlIcM5krpXoA04Gu+Lf9maa1fuGI+/8HeAZI11ofCFagIjK8+eMunv5qM16fxtCaDVSwZNdBTu6fzsvXjsbaxo/p6clxXDUuMhtwCRHJWlKa6AMe1FoPAiYC9yilBsPhRH8mkBu8EEWk2FZYydNfbcblNTGOmGup8RjM21LMe8vk10CIcDnmlbnWugAoqPu6Uim1CegGbASeBx4CPg5mkKL1iipdvL1oD1+sK8AwNZP7pXPbpF7ktGHT3jcX7sZrNL0UfNr8nVw3oedxP78Q4vi1asxcKZUDjAKWKKUuAvK01muaGytVSk0FpgJkZ8vH51BYn1fO1dMW4zXMwysZ95Xm8t8V+3jpmlGcMfj4em9s2V9JE7kcgIJy13E97/Hw+Ez+vWQPby7czYEqD906xHPnKb25ZGS3mKvI0FpL7bc4phYnc6VUEjAT+CX+oZfHgLOO9XNa62nANPCXJh5fmKKlfIbJTf9aStVRDTh8psZnGtw3YyULfnPacVVqZHWIR+WWNrkkvEN8aBbKeA2TG15fwtp9ZdTW1UpvKazksQ/XM29rMX+9amTUJz+tNZ+syedv321nR1EVdquFMwdn8MCZ/UPS1kBEnxYt51dK2fEn8ne11rOAPkAvYI1SajfQHViplIq8hhTtzHebi3B5m95GzNTw3rK9x/XcN57QE2cTmzXE2SxcPzE0QywzV+yrl8gPqfUazNlYyA/bon8e/olPN/DwzHVsL6pCAx7D5Mv1BVz00gJW7y0Ld3giAh0zmSv/Jc7rwCat9XMAWut1WusuWuscrXUOsA8YrbXeH9RoxTFtyC+n2t10Mnf7TFYc556QY3p25JJRWcQftbON02ahV+dE7pjc+7iet7XeXLi7QSI/pMZj8PbiPSGJI1jW7C3j/WX7GiygMrX/+O6fsYqjF/tprZm7uYi731nBrW8u46NVeU3Ob4jY1JJhlpOAG4B1SqnVdbc9qrX+InhhieOVGGfDblWHN1BuTLLz+JYXKKX4w6XDOLFPZ16Zt4PcgzWkxtu5YWI2N53Yq0Fb22Apqmh+bD6/rDYkcQTL9EW7cfuafkMurnKzLq+8Xg3+I7PW8cma/MObOy/eeZAZS3N55/YJIe0FL8KnJdUsC4BmByDrrs5FBDh7SFf+8vVWmtqYLdFh5fLR3Y/7+ZVSXDgiiwtHNL5TUCikxNspqZ9NJDUAABbASURBVGl6n82OCdG9/H7XgepG9049xKIUeaW1h5P5mr1lfLw6v96VfI3HYF1eOZ+tzefSUcd/vkX0kLfsGNOzUyLnDO2K097w1Dqsit7pSUzq2zkMkQXOsZpandQ3NE25gqV7xwSam7/VWpOR+tP+ol9v2N/oPEmNx+CjVfnBCFFEIEnmMejZK0Zw+ejuxNksJMXZSIyzEmezMLl/Ov++Y0LUl+5dP7EntiaOwWZRXDKqW4gjCqzmJpoBUhPs9drx2q2WJlfeOmSIpd2Q3iwxyG618NSlw/j12QNYtOMgPlMzpmdHsjrEhyUer2GytbCSOJuVPumJbS4bHNE9lfG90li2u6Te3ECczcLFI7uRmRqe4wyUMT07ct6wrnyxbn+DSdB4u5Xnr6xfennBiExenb/j8D6rhyQ4rFw5ruFeqyI2SQtcEVRlNR4uf2UhBeUuTO1fifrq9WPa3MPF5TX4wxeb+O/yfRimJs5u4baTenHf6f3a/NyRQGvNu4tz+fu87RSW+3dhmtSvE78+eyBDu6U2ePzLc7fzt2+34TVNTNPfA/7sIRk8HwM196JlLXAlmYugemTWWj5Yse/wFXSCw8pTlw4N2KSc1zCpdPlIcdqwxeCQgtYat8/EZlHHPL5thZV8vDofj2Fw9pCujM7uKIk8Rkg/cxF224uq6g2FuLwGe0sCVzr497nb+GJdITef1JNrxsdeXxilFE57y0o++2Uk8z9nDwhyRCJSSTIXQTWpb2fW5ZUf3qIszmZlTM+OAXnu//14PdMX+RcIPTJrPV6f5kbZ9ky0U7H3uVRElHum9OXC4VnYrYp4u5Vfnz2AkwJQGrkhv5z3l9dvS/DUF5s4UOVu83MLEY3kylwElc1q4ZkrRvDnnw0P6Pht7sEabBYL/v1S/OxWC/lltXSO0e3ehGiOXJmLkAj0RFzfLkn4zPq9R3ymSXZaQkBfR4hoIclcRKV+Gck8dM5A4mwWkuNsOO0Wnr9yJB0ifCn//nIXv/1oPee9MJ/ffLCWvSU14Q5JxAgpTRRRrbDCRV5ZLTmdEklLjOxEXlLt4Yzn5lFR68VnaqzK3xht9gMnR/1CJxFcLSlNlCtzcVhJtYcN+eXN9kOPNBkpTkZnd4z4RA7w3tJcqt2+wys1De3vwf7Ggl1hjkzEApkAjVEen8mHq/bx/vJ9eA2T84dlcs2EbFKcje8GNG9rMXe9vQKLBVKcdj69b5JMJAbYtqLKw9v4HeI1NFsLq8IUkYglcmUeg9w+g6teW8QTn2xkxZ5S1u4r5/lvtnLO8/M52ETp3m8/Wk+t16DabVBc6eZfAb5aLKn2NNjKrr05sU9nEo7e2MNuYXK/6O5iKSKDJPMY9J+le9m8v7JekyaX16S40l3X67yhI+dONLrZftqttXRXCRP/+C0n/PFbiivbbx34RSOz6N81iYS6TTwSHFay0xK4ZrxsdC7aToZZYtCMZbkNuu0BeE3/JsF/uGxYg/ueuGgI9/x7JTaLhXiHlVtOyglYPFsKKwH/0M/+chfpye1z+CbOZuWDu05kzsZC1uWVM6BrMucM7UpcM+1uhWgpSeYxyNXE/pjg3xi4MacPymD+r6eQV1bLgK7JJDgC96txxZjuFFe6yEhxMrRbSsCeNxrZrBbOHZbJucMywx2KiDGSzGPQmYMy+NfCXY3uAzqxV9O79HRJcdIlxdnk/cfLabfyqzOlAZQQwSRj5jHo9sm9SIyzcXRb73i7ld+cOzA8QQkhgkqSeQzqkuLk03sncebgDGwWhUXBhF5pvH/nCQzJarixgRDRYuaKfdz21jLmbikKdygRR4ZZYlSPtAReu2EsWmu0Jur3/WzMmr1l/P6zjWwvqmJEjw48fuFgeqcnhTssESSb91fw2EfrcHlNFmw7wKJHTo+KxWKhIsk8ximlmt3pPVrlldVyzT8WU+PxV+3M31bMZX9fyI8Pn0ZiXMNf6wqXl/tnrGLxzhJS4+08e8UIJsVQfbfXMHlt/g5mLNmL1zC5YHgmD5zZn+QmFolFI4/PBPy/zFrToNFaeyfDLCIqzVzuT1qHaO1PaF9v3N/o438xYxULth+g1muwv8LFHdOXk3swdppc/fI/q3npu+3kldVSVOnmnSW5XPnaIsxALhgIs+HdO3DfaX0ZkpXCk5cOpUty4Cfro5lcmYuoVOM1MI5KVKbWh6/Uj7Z458F61T0WBStzS8nuFP0tc/eW1PDNxsJ6rQI8PpPcgzUs2H6Ak/unhzG6wLpnSl/umdI33GFEJLkyF1HpguFZOGz1f301/rLMxqTG2xs8NlbGW3cUVzX4fwH+vi/biqTvS3shyVxEpaHdUvn9xUNJdtpw2Cx0SnLwyvVjmqyTf+ZnI4i3W0l0WElwWDmhTycmBWD7uuORe7CGuZuL2FkcmETbt0tS3XhyfTarYkBGckBeQ0Q+GWaJMlpr8stdJMXZGlxttjdXjO3BpaO6UVrjpVOio9mKnZP7p/PVLyezYk8pnZLimNy3c8grfFxeg/tmrGL+1mIcNgten8mYnI5Mu2Fso5O2LdW9YwLnDs1k9oYCag9vnG2hT3oiJ/bpFKjwRYSTZB5FthVWcvv05ewvd6E1XDgikz9dPhybtf1+wLJZLS3q9aK1Zn+5i/0VLnyGptrjC3mlx1Ofb2L+1mLcPvPw+Pay3aU8MmsdL14zqk3P/ZcrRzD0xxTeXZKLx2dy8cgs7pnSNyZLUkXjZKehKKG15qQ/fUdBmYtDZ8xpt/DAGf2585Q+YY0t0rm8Bje9sZR1eeW4vQZxditKwVu3jGdsTtPtDQLJMDVDHv+q0b45DquF1Y+fGdB+OCK2yE5DMWRHcRVlNV6OfOt1eU1mrtwXtpiixSvf72DN3jJqPAaGhhqPv2/77W8tr1feGExew2x0XBtAKahyte9e76LtJJlHicQ4W4NSPCCmFoUEy3+W5eJqJJH6TJMlO0tCEoPT7u9d3piUeLvs6iTaTJJ5lMhMjWdCr071StCcdgv3Ss3tMTXdElhR4wndFfHvLh6K017/Ty7ebuGJCwfL2LZoM0nmUeS1G8Zw0wk9yUp1MiQrhb9dM5opA7uEO6xjWr67hMc+XMcfvtjErgPVIX/9KQO7NOggCf6hjwm9QlftcUr/dN69fSKT+namS3IcE3ql8frN4zh/eFbIYhCxSyZARVBNX7SbP36xGZfXwGpR2K0W3rl9PGN6hmbiEfx9XC548Qeq3cbhzTni7VYeOLMfU0+WyWMR+QIyAaqU6qGUmquU2qSU2qCUur/u9meUUpuVUmuVUh8qpToEKnARGD7DZN2+clbvLaO2iWXuweTxmfzpy83Ueg004DM1tV6D33+2KaRxdOsQz9cPnMJtk3oxJCuF0wd24fWbxkoiFzGlJbVQPuBBrfVKpVQysEIpNQeYAzyitfYppf4EPAL8JoixihbSWvP6gl28+O02DK1RKAxTc+2EbB4+dyD2ENWll9d68TYyabs7DEMt6clx/ObcgbI5h4hZx/yr1loXaK1X1n1dCWwCummtv9ZaH5o9Wgx0D16YojX+/NUW/vL1VipcPqrdBlVuH7Veg3eX7OGud1YQqqG1TokOOhy1StWiYGxOx5C8vhDtSasu0ZRSOcAoYMlRd90KfBmYkERbFFW6eP3HXdR6Gw6ruLwmi3YcZGVuWUhisVgUf71q5OGeKElxVtISHTx+4ZCQvH5j3D4jptrCCnFIi5ecKaWSgJnAL7XWFUfc/hj+oZh3m/i5qcBUgOzs7DYFK47t87UFNFfkVus1+M+yXMb0DM3V8Yl9O7PokdP4fksx8Q4rpw5IJ85mDclrH+LyGvxzwU7+tWA3pTUeLEpx+qAuPHBmfwZ2TQlpLEIES4uSuVLKjj+Rv6u1nnXE7TcBFwCn6yY+u2utpwHTwF/N0uaIRbNKa7z1+lofTWsornSHMCLokODgklHdQvqah7i8Ble9togt+ysPLxwytebrjYXM33qAf90yjom9Gy9PrPH4UCjiHaF98xHieBwzmSulFPA6sElr/dwRt5+Df8LzFK117GzZEuX6pCeS6LBS3UT1isOqGJQZ+qtRt8/AolTIJl8P+ecPO+sl8kO09n9KufudFSx77Ix6zcrW7Svn/328jvV5/g+gI7qn8uQlwxicJVfxInK15C/rJOAG4DSl1Oq6f+cBLwHJwJy6214NZqCiZc4e0hXVzKafSimum9gzZPGs2FPKRX9bwKDffsWg337FrW8uY19paN77tda88ePuRpfyH+IxTL7fUnz4++1FVVw1bRFr9pZjmBrD1KzMLeOKVxey52Doq3CEaKmWVLMs0ForrfVwrfXIun9faK37aq17HHHbXaEIWDTPabfy8nWjibdbG6x6dNotPHb+ILp1iA9JLOvzyrn+n0tYm1eOqf115vO2FHPxSz9SVuMJ+uvXeg3Ka73NPsblNdhaVHn4+xe/3Yar0cljg5fnbg94jEIEiiznj0Gn9E/nw3tO5PxhmSTF2UhwWJncrzNv3TKeG0/ICVkcz87e0qCqxtD+XuIzluYG/fUdLRjSsVssJB2xMcTinQdprNjF0PDj9oOBDE+IgJIGyjFqYNcU/nbt6LDGsGJPaaO3u7z+oY27Tw1ukzCb1cLJ/Trz/ZZimpp518BZg7se/j4pzkZRExPEyU75cxGRS67MRdAkNpP8OiWFZjPlB88agNPeeDWK027hohFZdE39ad/QGyb2JN7e8M8i3m7lhhNCN9cgRGtJMhdBc9347AYtX8GfGK+bEJrEOLRbKv+4cSwpThuJcf55hDibhTibhfOHZfKHy4bVe/z1J/RkTM80Eo4oR0xwWJnYO42rxvYIScxCHA/pmiiCxu0zuPF1/3ZtNR4DiwKHzcJ1E3ry2wsGhzSWWo+Pq6ctZu2+cpx2C3+/bkyT7YNNUzNvWzGfrclHKcVFI7KYFIYNoIU4pCVdE2UQUARNnM3KjDsm8uOOA8zZWIjTbuXikVkMyUoNeSxzNhWxragKDdR6TZ7+clOTydxiUUwZ0IUpAyK/V7wQh0gyF0FlsSgm90tncr/0sMZR4/ZhHvEptKlFVUJEKxkzF+3CecMzSU+OIzHOitNu4WFphStijFyZi+NS6zHILakhIyWODgmhqUxpixSnnTkPnML6vHK6pjrp3rHxzZWFiFaSzEWrbSqo4Jp/LMZrmPgMzdOXD+fSMDXSag2n3crYnNBtVydEKMkwi2i1+2asoqzGS7XbwO0zeXjm2mMumxdCBJckc9FqBeW19b63WRQHqkLbVlcIUZ8kc9Fq43PSsFv9NdcK//BF946had4lhGicJHPRan+9ehQn90snJd7GwMwU3ps6MeS7Bwkh6pMJUNFqqfF2Xr95XLjDEEIcQa7MhRAiBkgyF0KIGCDJXAghYoAkcyGEiAGSzIUQIgZIMhdCiBggpYlCxAjT1Ow+WI1hanI6J2JvwYbWInZIMhciBnywYh/PzN5MRa0PpfwtFqae3Jufn9pXdkhqJySZCxHlXl+wi2dnb6HWW3/DjZfn7mBvaS1/unx4mCIToSSfw4SIYlVuH8/M3twgkQPUeg0+WpXHjuKqMEQmQk2SuRBR7LvNRVibGUYxTM3Hq/JCGJEIF0nmQkSxilovhqmbvN9nakpqPCGMSISLjJmLiLGvtIYXvtnG5+sK8BomQ7NS+dVZ/cO+GXQk65+RjEU1fWWe4LAyJCs1hBGJcJErcxER9hys5vwXFzBr5T5qPAZeQ7NqbxlTpy9nxtLccIcXscbldKRTooOm0rkCLhqRFcqQRJhIMhcR4YlPNlDp8mIcNWJQ6zX53ScbqHL7whNYhFNK8frN40iJtxNn++nP2W5VxNutvHbDWBLj5AN4eyBnWYRdjcfHgu0HaGro12pRfLOxkEuiYNPocOifkcx3D57Cv5fm8umafHyG5pQB6dx6Ui96pCWEOzwRIpLMRdhVu426cd/Gs7nP1JTJJF6zOiXFcd9p/bjvtH7hDkWEiQyziLBLS3TUGyI4mtWiGJSZEsKIhIg+ksxF2Fktitsm9cJpb/jraFGQkRLH+F5pYYhMiOghyTzGHaxys7/cFe4wjune0/pxxqAM4u1WDq2BSYyzkpHiZPqtE1DNlN8JIWTMPKZNX7ibJ7/YBMDVY3vwf5cMDXNETbNaFC9dO5qN+RV8uiafao+PE/t04oxBGdik+58Qx3TMZK6U6gFMB7oCJjBNa/2CUioN+A+QA+wGrtRalwYvVNFaT32xCY/PBOC95Xu597S+dElxhjmq5g3OSmFwloyPC9FaLbnk8QEPaq0HAROBe5RSg4GHgW+11v2Ab+u+FxHEceSkokb6WwsRw4751621LtBar6z7uhLYBHQDLgbeqnvYW8AlwQpSHJ+Xrx1NitOG02bh8QsH0zHREe6QhBBBorRuuklPgwcrlQPMB4YCuVrrDkfcV6q17tjIz0wFpgJkZ2eP2bNnTxtDFkKI9kUptUJrPba5x7T4c7dSKgmYCfxSa13R0p/TWk/TWo/VWo9NT5eGSUIIEQwtSuZKKTv+RP6u1npW3c2FSqnMuvszgaLghCiEEOJYjpnMlb/A93Vgk9b6uSPu+gS4qe7rm4CPAx+eEEKIlmhJnflJwA3AOqXU6rrbHgWeBt5XSt0G5AJXBCdEIYQQx3LMZK61XgBNtks+PbDhCCGEOB5SeCyEEDFAkrkQQsSAVtWZt/nFlCoGor3QvDNwINxBBFGsHx/E/jHK8UW/o4+xp9a62drukCbzWKCUWn6s4v1oFuvHB7F/jHJ80e94jlGGWYQQIgZIMhdCiBggybz1poU7gCCL9eOD2D9GOb7o1+pjlDFzIYSIAXJlLoQQMUCSuRBCxABJ5s1QSr2hlCpSSq0/4rYnlFJ5SqnVdf/OC2eMbaGU6qGUmquU2qSU2qCUur/u9jSl1Byl1La6/zboUx8Nmjm+mDiHSimnUmqpUmpN3fH9ru72mDh/0OwxxsQ5PEQpZVVKrVJKfVb3favPoYyZN0MpdTJQBUzXWg+tu+0JoEpr/Ww4YwuEutbFmVrrlUqpZGAF/h2jbgZKtNZPK6UeBjpqrX8TxlCPSzPHdyUxcA7rOpomaq2r6tpULwDuBy4jBs4fNHuM5xAD5/AQpdSvgLFAitb6AqXUn2nlOZQr82ZorecDJeGOI1hifUvAZo4vJmi/qrpv7XX/NDFy/qDZY4wZSqnuwPnAP4+4udXnUJL58blXKbW2bhgmaj/CHqluS8BRwBIgQ2tdAP6ECHQJX2SBcdTxQYycw7qP56vxbw4zR2sdc+eviWOEGDmHwF+BhwDziNtafQ4lmbfeK0AfYCRQAPwlvOG03fFuCRgtGjm+mDmHWmtDaz0S6A6MV0oNDXdMgdbEMcbEOVRKXQAUaa1XtPW5JJm3kta6sO6XywT+AYwPd0xtEetbAjZ2fLF2DgG01mXA9/jHkmPm/B3pyGOMoXN4EnCRUmo38B5wmlLqHY7jHEoyb6VD/4PrXAqsb+qxkS7WtwRs6vhi5RwqpdKVUh3qvo4HzgA2EyPnD5o+xlg5h1rrR7TW3bXWOcDVwHda6+s5jnMo1SzNUErNAE7F346yEHi87vuR+CdhdgN3HhrbijZKqUnAD8A6fhqvexT/uPL7QDZ1WwJqraNuIriZ47uGGDiHSqnh+CfHrPgvzN7XWv+fUqoTMXD+oNljfJsYOIdHUkqdCvxPXTVLq8+hJHMhhIgBMswihBAxQJK5EELEAEnmQggRAySZCyFEDJBkLoQQMUCSuRBCxABJ5kIIEQP+PxPPuoe3ZcbbAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Build the scatter plots for urban cities.\n",
    "plt.scatter(urban_ride_count,\n",
    "      urban_avg_fare,\n",
    "      s=urban_driver_count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x13194e61748>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Build the scatter plots for urban cities.\n",
    "plt.scatter(urban_ride_count,\n",
    "      urban_avg_fare,\n",
    "      s=10*urban_driver_count, c=\"coral\",\n",
    "      edgecolor=\"black\", linewidths=1,\n",
    "      alpha=0.8, label=\"Urban\")\n",
    "plt.title(\"PyBer Ride-Sharing Data (2019)\")\n",
    "plt.ylabel(\"Average Fare ($)\")\n",
    "plt.xlabel(\"Total Number of Rides (Per City)\")\n",
    "plt.grid(True)\n",
    "# Add the legend.\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x13194ed2d48>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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KlSpl8XVaijXnDBKA1kqpaBFxBHabE2a7AN2BWkqpBBHRsQQ0mdK2bVuqVKnCqtWrWT9tBLdv38bT05POHdozcdHCR9pso8md3ImMxL1CQYvKunn5cOdcZJb7sLe3JyAggICAAGrWrMnixYtxcHC463K6f+3+/Us4ReSe8mnVuT+8dFptjB8/nlatWrFu3TouXLhwj2sqxY2VojcpKSnL12kJVnMTmSOoRps/OppfClM+3unKlMsUpZNaayykZMmSvP3mm/wW9AvHDu5n96/beHf0KG0I8ilenp5ER9yyqGzMndt4ZTEcyd9//82ZM/9PC/7nn39SpkwZ/P39765QWrNmzT111q9fT3x8POHh4QQHB9OwYUPKlCnDyZMnSUhI4M6dO2zfvj3DfleuXAmY3GBeXl54eXlx586du/NdKfMNOY1VVxOJiD1wCKgAfK6U2icilYDmIjIViAdGKKUOpFF3MDAYTCtKgoODrSk1Q6Kjo23av6XkFZ2Qd7RqndlLap1eXl5ERUWlW7ZF08bMWPAd9dp1SbdMCqd2/syoVwZm2N793Lhxg5EjR3Lnzh0cHBwoV64cc+bM4e+//+b111+ncOHCNGzYkOTkZKKiokhISKBu3bp07NiRkJAQRo4ceTdcRY8ePahRowbly5enZs2axMfHExUVhVKK6Ojou0/3ycnJuLm58cQTTxAVFcXnn39OVFQUr7/+Oq+++iozZsygRYsWKKWIiooiPj4eg8Fw97qSkpKIjY295zpT9MXHxz/S30CO5EAWEW9gHfAGpuTfvwLDgYbASqCcykBIgwYNlC3X5gYHB98zbMut5BWdkHe0ap3ZS2qdp06domrVqumWNRqNtAvsQpMX3spwEvnsnwf4ffFnBG3emK0b0PJKbKIUnWl9nyJySCnVwJJ2cmQ1kVIqAggGOgKXgbVmN9J+wAj45oQOjUaTd7Czs+Pjqe+z9cvpnP3zAecBYDIEW7+czscfTNE7kR8Ra64mKgwkKqUiRMQFaAt8BEQDrYFgs8vICQizlg6NRpN3qV+/Pl98+jGjxo1nr2dBKjVth5uXDzF3bvP37q2o6IiH2nCmeRBrzhkUAxab5w3sgFVKqU0i4gR8KyJ/AQZgYEYuIo0mP2I0GtmzZw/Bu3YTH59AmVIl6N6tG0WKFLG1tBxFKZVpkLX69esTtGXT/2MTnTPFJprwxn90bCIz2XELtZoxUEodA+qmcdwA9LdWvxpNbuf06dMMe2ckRhcPyj/ZigLebuw48y/ze/blqS6dGDNyBPb29raWaXUKFChAeHi4RWGs7ezsaNGiRZb2ETwuKKUIDw+nQIECj9SOjk2k0eQgFy9e5KUhQ2n6/BtUa9zynnMt+w7ix1mTSPpwGhPHv2cjhTlHyZIluXz5Mjdv3rS1lDSJj49/5BtsThAfH4+3tzclS5Z8pHa0MdBocpB5X35NtQ49HzAEAAXc3HnqnSl8+/ZABjz3LOXKlbOBwpzD0dExV+8RCQ4Opm7dB5wbuY7s0qmdbRpNDhEREcGO3XsyXDfv7OJKtVaBrPxhdQ4q02i0MdBocoyQkBB8ipZ4IHXn/ZSsXJO/z57LIVUajQltDDSaHMLe3p7kVAHI0iPJkIDDYzCBrMldaGOg0eQQFSpUID7yFuFXMw5B/O/B3TRpZNGmUY0m29DGQKPJIZycnOjzVHd+X7sk3XXhNy9f5MKh33mqR48cVqd53NHGQKPJQQa//DJ2t66wZf4nREfcvnvcaDRy5sg+1kwbxYTRI/Dx8bGhSs3jiF5aqtHkIK6urixaMJ+Zsz5j8YgXKFK+Ck4urty8eJZC7i58NGEsLVs+uOxUo7E22hhoNDmMm5sbE98bx9vDh3H48GESEhIoWbIkVatWzXQnrkZjLbQx0GhshIeHhx4FaHINes5Ao9FoNNoYaDQajUYbA41Go9Gg5ww0jyHbtm3jm++WEnLlCpUrVuQ/g16gUaNGtpal0dgUPTLQPFZ8//0KJn0yB/92vekz5Qu867dm2Jj3+PXXX20tTaOxKXpkoHlsSEhIYM7X8+k1YTaFipcCoGbztrj7FGLmnLm0atVKL+3UPLbokYHmseHs2bO4ePveNQQp+FevQ2hYOBERETZSptHYHm0MNI8N3t7eRN8OJzkp6Z7jcdGRqORkXFxcbKRMo7E92k2keWwoXrw41SqW59fl8ylRqQaJCfE4FXDhn3076di2TZ5IcajRWAttDDSPDfv378fe3o6gVd/hV6EqLp7eRN+6ya0LZyj7VA9OnjxJtWrVbC1To7EJ2hho8j1KKeZ98QXfr99C/W79GP/qeJKNYEg04OzsjCQn8mfwLwx6fThvDXmFvn362FqyRpPjaGOgyffMX7CQNUG/8dz7n+Pm5X33uBtud9837tKHKo2aM/v9d3ApUIBu3brZQqpGYzP0BLImX3P58mUWLl1Or9HT7zEEaeHjV4ynRk9j6oxPiYmJySGFGk3uQBsDTb5m1erVVGnREXefghaVL1yyDMWr12PTpk1WVqbR5C6sZgxEpICI7BeRoyJyQkQm33d+hIgoEfG1lgbN401ycjI/rFtP3bZdslSvdrtuLF+91kqqNJrciTVHBglAa6VUbaAO0FFEngQQkVJAO+CSFfvXPObcuXOHJAUFi5bIUr0SFapw8eJFK6nSWJPY2FiCgoI4cuSIraXkOaw2gaxMGb+jzR8dza+ULOCzgFHAemv1r9EkJSVh7+CY5Xr2Do4kJSWlm7RekztJSEjg2YEvkujiRcSNq7zcrzcvvjDQ1rLyDGLNP3gRsQcOARWAz5VSo0WkG9BGKTVcRC4ADZRSYWnUHQwMBihSpEj9FStWWE1nZkRHR+Pu7m6z/i0lr+iEnNGqlOLU33/jV6ZClmIOJSclcvvqJSpXqpRnvlOt0zQquHztBoVKlCbRkEBU6DUqVij/0O3lh++0VatWh5RSDSxpx6pLS5VSyUAdEfEG1olILWAc0N6CuvOB+QANGjRQAQEB1pSaIcHBwdiyf0vJKzoh57SuXLMOZ6MndVsHWlxn5w+LKO8Qz38CAvLMd6p1wtWrV5k8vT+tXn6bS6eO4hl1g1defumh23vcvtMcWU2klIoAgoHuQFngqHlUUBI4LCJFc0KH5vFjQL++/LVto8Uun6TERE7u2MIzfXpbWZkmuylevDgzPpjEtZ0bKKGimTp5oq0l5SmsNjIQkcJAolIqQkRcgLbAR0opv1RlLpCOm0ijyQ4aN26Mr+tX7PphES36vJhhWaPRyC8LZ/Fk3VqUL//w7gWN7WjRogUtWrSwtYw8iTVHBsWAHSJyDDgABCml9OJtTY5iZ2fHl3Nmc+PwLoIWf058THSa5aIjbrNx3oc4RVxj2gfv57BKjcb2WHM10TGgbiZl/K3Vv0aTQsGCBfn+u0W8/+F0Fg5/jvKNWlKu7hM4ubgSFx3F2QO7uHR0P907d2Lk21Nxdna2tWSNJsfRsYk0jwWenp7MmP4hYWFhrF27joN7fyY2Lg5Pd3eebtKQrtPG4+npaWuZGo3N0MZA81jh6+vL4MGvmNYsazSau+jYRBqNRqPRIwON5mFISEjgxo0bxMfH4+7uTtGiRbGz089WmryLNgYaTRY4f/48K1b9wI+btuDk7oGDkzNxUZF4ubkwoG9vunXrpuceNNmCUoqkpCQcHByytIP+YdHGQKOxAKPRyGdz5rJi3QaqtQrk2Wnz8fI1bZlRSnH5nxP8uG0D8xZ8wycffkDTpk1trFiTFzEYDAQFBbFkxSpOnT5NcnIydnZ2VKpYkf59e9OhQwdcXFys0rc2BprHiujoaDZv3szhY8eJiY3Fw82dpk82ol27dukuKVVKMe2jj9lx+AQvzPwWVw+ve86LCKUq16BU5RqE/HOCt8ZO4JMPJtG8efMcuCJNfmHDhg18NGs23qUrUKt9H9qMqI+jcwGSDAYunPiTbzduYNqnn/HW60N4pm/fbO9fGwPNY0FsbCyz5sxl/aYtlKhRnzK1G+Hq4kpMdBRfrd7E1Jmf8mzvngz5z39wcLj332Lr1q1s/f0Az06eg7OrWzo9mChVqTrd3nmfkePGsXndagoVKmTNy9LkE/67aDELlq2k+5gZFClT7p5zDk5OVKjbiAp1GxF+NYTPP5nAzbAw3nj99WzVoI2BJt8TGRnJS68OQfmWYsCMb/HwufcGXa9tZ25dv8LPi+bx18m3mDvrE5ycnO6e/+a7pTTt+1KmhiCFkpWqUaZBM9b9+CMvv/TwgdI0jwdbt25l/rKV9Js8B8+CGef6KlS8FP0mfcbyicMoXqwYPZ9+Ott06OUPmnyNUorh74zEqXRVOg8Z/YAhSKFg0RL0HPkB1xPtmPz+1LvH4+PjuRwaToV6T2ap37rturNs1WqSk5MfSb8mf2M0Gvl03hd0HDImU0OQgquHF12GTWD2F1+RlJSUbVq0MdDkaw4cOMC562G0ef61TFdk2Nnb02XoWIJ27ubSJVMSvujoaMo/0TLLy0aLlq1Asr0TZ8+efWjtmvzPgQMHSLBzonTVmlmqV9S/PC6FSxAcHJxtWrQx0ORrlq1cRc123S2+mTs6OVO1ZQdW/rAaMOVRdrlvwthS3Lx8iIqKeqi6mseD739YTfU2XR9q6WjNtl1Zbv47zQ60MdDkWxISEvht1x5qNm+bpXq1Ajqx8aefAVPU06TExIfqPynRoIPeaTLk7PmLlKxQ9aHqlqhYlfMXsy+NfIYTyCJSAOgCNAeKA3HAX8BmpdSJbFOh0ViBO3fuUMDNHWcX1yzV8/Yrxq1bt1BK4ezsTOjZk1nuOz4mmtvXr1CiRIks19U8PsTHx+P4kA8MTs4uxMXFZZuWdEcGIjIJ2AM0BvYBXwOrgCRguogEmdNYajS5Ent7e4zGrE/gGo3J2NvbA+Dh4UHYudPcDr2WpTaO7wqiZZMn8fHxyXL/mscHd3e3dHNsZEZ8TBTubtmXozkjN9EBpVR9pdQ7SqnlSqltSqlNSqlPlVJdgecApwzqazQ2xcvLCzEmcycsNEv1rp8/Q4kSJRARRISe3bqyb+Mqi+snGQwc2/ojzz2T/RuDNPmLhnXr8O+RvQ9V95/Df1C/Tu1s05KuMVBKbc6oolIqVCl1MNuUaDTZjIODA907B3Jk28Ys1Tu6bQP9ej519/NLL75A+IkDHN6WeaK+pMRENsybypM1q1G3boa5nTQanunTm5M7tpCcxSWiRqORE9s28twzfbJNS4YTyCJS3ZzLGBEpJCILRWSFiFTLNgUajRXp17cPJ3dsIS460qLyt0OvcfHIPrp163b3WMGCBVn45eec3Pw92777kqjb4WnWvfLvaVZPH0NpV2Hq+5NzJLiYJm9Trlw5Kpcrw9GdW7NU7/S+XRT2dKNmzawtSc2IzHYgfwWkbHGbClwHjgPfAlnbhaPR2ICyZcvSp3sX1s54j16jp2W4izjqdjhrPxrLW6+/ipfXvctJy5Qpw8ql3/HFV1+zZOQgiteoR7FKNXF0LkBcVCTnDvyGxEUx4Jk+DOjfX4ez1ljM+DGjef6VV/EuXJRyNetlWv7KmVP8tmgOC+bOytYHjowmkCcCFYAh5vdPAfZAFaCkiEwQkRbZpkSjsRJvvzmcFrWqsHziME7+8RtJSYkkJiWSYEggKSkRQ0IcR37dwvcT3uD5p7rwbL9+abZTqFAhxo8by45ftvBcmyaUNNzEM/QMlRxjmPTma2zdtIGBzz+vDYEmS1SsWJF5n3xM0OdT2ffTWgzxaa8QSjIYOLxtMxtmjuOTqZOpVSt71++kOzJQSk0WkR7AcqAo0EIp9S6AiLRVSk3JViUajZWws7PjvbHvUmX1ambN+4zl08dSsno9nNzciY+8w+W/DlGtUnmmjH6btm0z35Pg5uZG7969c0C55nGhfv36LPt2AZ/Omcv8oYup3KwdZWrUw8nFDUN8LCGnjnF658/Uq1mDRV99TtWqD7c3ISMycxNNAXYCicAzYJpHAMKyXYlGYyWUUixY+A3zFy+lUtM2tKhel9ioSBLj43B2dcX56Wc4f3gv7056n5iYGLp3755pm6GhoVy4cOFuprMqVarg6pq1/QwaTWrKlSvHvM9mcf36dX5Ys4bjf/xEdEwMbq6u1KpW2D0AACAASURBVKtckWnLl1CyZEmr9Z+hMVBKrQPW3XfsBCaXkcYCbt68yT///ANAlSpVdEhjGzBr9hw2BO9h4Ixv0g1UV/WJFoRducRH08cQFx+fZrx4o9HI3r17WbpiJfsP/4mffwUcnJxJiIki4moI3Tt34pk+vSlXrlwaPWg0llG0aNFsD09tCekaAxHxV0pdyOC8ACWUUpetISyvExISwszPZrNn30GKVaiMUoobZ/+hRZMneOfN4RQvXtzWEh8LgoKCWLv1V56bMhcX94zTUfqWKE3v8Z8wa+IwqlWteo9PNi4ujhFjxnDiwlVqd3iK/7z0Lo7OBe6evxMWyp/bN9Fv0CsMfflF+j/3nF5NpMlTZDQymCEidsB64BBwEyiAaVK5FdAGmAhoY3Af58+f5/mXB1O1fU9emfv23XAI8THRHPzlR/oNfJGl3y6kVKlSNlaa/5n/38W07D8kU0OQgo9fMRr0eI7/freEWTNnAJCYmMjrw9/ijrMXA6Z+ib3Dg/82Xr5+tOw7iDpturBg+hiSk5J54YWB2XotGo01yWjTWW9gPFAZ+BzYhckwvAz8DbRWSgWlV19ECojIfhE5KiInRGSy+fgMETktIsdEZJ2IeGfnBeUGxoyfQJ0ez9Ok+zP3xMUp4OZOs6f7Uz2wL2MnTrKdwMeEkydPcjXsNuXrNMpSvVrN27Fr7wFu3rwJwNfzFxCaZE/nIaPTNASp8fL1o9e7H/H1kuUcP378obVrNDlNhmvglFInlVLjlFIBSqnKSqm6SqlnlVJLlVLxmbSdgMlg1AbqAB1F5EkgCKihlKoF/AO8mx0Xkls4efIkITfCqdumc7pl6rfrxpkLIfz77785qOzxY+u2bVRq2jbLSz2dXd3wr/ckwcHBKKX4fs1aWvV/1eJ2PAsVpnanXiz9fuXDyNZobILV0l4qpRSQEoHJ0fxSSqnUW+32Ar2spcEW7N+/H/8GTTO8cdg7OFC2flP2799PhQoVclDdw5OUlMSChd+wZ/8BChcqyJtDX6dMmTK2lpUhYeG38fCreM+xhLhYju/axrVzZ0iIj8PZxZUyVWtS7cmWOKRKdelWyI9bt27h7OyMd8lyFCqeNZde7YAOfPPmAG7dukXBggWz5Xo0Gmsipnu2lRoXscc031AB+FwpNfq+8xuBlUqppWnUHQwMBihSpEj9FStWWE1nZkRHR+Publl0wLCwMKITk/HwyTiFXeStm3g6O2br6qKs6Mwq165fJzouATfvgiQZEoi7c5vy5co+kDzeUqypNYWr166RbO+Mq6cXRmMyUbfCiYuOxLGAK04urogIRmXEEBNDkiEBV08vPHwKISJE3QrD3ckeOzs7YpJNqQazSsSNqxT28cLT07L5ikchJ77P7CCv6IS8ozUjna1atTqklGpgSTtWGxkAKKWSgTrmeYF1IlJDKfUXgIiMwxQOe1k6decD8wEaNGigAgICrCk1Q4KDg7G0/61bt/LtklX0GTczw3IrFg3n3VdftLhdS8iKzqyglKLek00Y/PlKDOaJ2K3zptK/sC9PPfVwq4ytpTU1X339NbsuhNEosBeLpoygePW6NOzWD/eChR8oe/vaZfauXkRceCgD3pvOL2s3MKhLG25H3OEfh8JU9K+f5f6Dtu2k5xM1rH6dkDPfZ3aQV3RC3tGaXTozdYKKif4iMsH8ubSIZGlGTikVAQQDHc1tDMSUNOc5Zc2hiQ0ICAjgzpULhF46n26Za+f+IT78Os2aNctBZY/G/Rm/kgyGuzH/cyuBnTpxatcvfPf+KKq27ESrF4alaQgAfIqVpOPQcRQsW4klH4zm8okjtGrVChF56ExnxkQDTk46yrsmb2DJjNgXmBLcpARsicK0uihDRKRwykohEXEB2gKnRaQjMBroppSKfSjVuRgnJyfeHvoa6z+dkGZClPBrl9k4axIjh7/x0C6WnEZEeKH/s6ydMY5jO4PYvvRrYi+fzfVPTaVLl8bd0Qk3v2LU65J5qF8RocWA14iNjaNq+bJ4eHjg7OTIjfP/ZLlvpRQ3L57Vmc40eQZL7kZPKKXqicgRAKXUbRGx5HGnGLDYPG9gB6xSSm0SkX8BZyDIvClnr1Lq1YfUnyvp+fTTGAwGPnn3P/jXe5LSNRuilOLSsQNcOrqf0W8No0uXLraWmSWGvvYaxYoW5Y/9B6jq48Oni/+bI77wR8FoNGJITqLGkwEkJxqwd8z8zzbJkECV5u2IOrYTAB8fH079tpDmvQZmuqw0NZf/OYFjUjz16mUehVKjyQ1Y8tedaL6hKzA98QPGzCoppY4BD2T3UErljeUzj0i/Z54hsFMn1m/YwNG/DiHA003q0HXa+Fx/E00LEaFXz5706tnT1lIsZu/evbgVLkaNBk9y7dplvIsUv2fX8P0kxMYQefM6TTp0YXnwBs6dO4eTkxOVy5bh5B/B1GyeeRC7FA7/vI4BfXvn+wimSikOHDjAhk1buBYaiohQrIgfPbp2oV69enoXdh7CEmMwB1N8Ij8RmYppKeh7VlWVT/Dy8uL5AQNsLeOx5dKlS/iVr4q3tzd29nZcvXYFe0dnXDy9cXZxQcQOo9FIQmwMcZERoJIpU7oUri6uFPGvQEhICABvDxvK4OFv41e6HEXKZB536MAvPxJ/5Sw9ekyy8hXalqCgID6d9wWxRjuqtQqkaNXGANy8com3Jn6Ah6MdI4YNpVWrVjZWqrGEDI2BORzFeWAUpvATAvRQSp3KAW2afIZSiqNHjxISEoKIYDBYd4LVYDBg7+AIgKeHJx7uHkRFRRJ+6zZRYdcxGo3Y2dnj6uJC8SJ+uLm7IZieZO0dHDEYDDg6OlKnTh3eHzuaCdNG0vqlt6lYv3GaT/yG+Dj2blzJpd+DWLTgazw8PKx2bbZmyZKlfLF4GR2GjKZMtdr3jAAq1n2CJzr34vzxw7z7wXTeDA1NM/CfJneRWdRSo4h8opRqDJzOIU2afMixY8cYO3EyUUmKwv4V6VCvKq06BjJi2FCe6tHDKn16enoSH/XX3c8igqenF56eme8ZiI2MwNPTk7g4U6KRDh06ULBgQaZ+PJPdy7+mepuulKpcA0fnAsRGRXLmwC7+3h1E44b1WbFkMb6+Ge8zycsEBQXxxXfL6Td5Dp6F0l6dJSKUq1WfZybO5rPJwylapEiuX3CQwpUrVzh+/DhGo9H8wJC/XX0pWOIm2ioiPYG1+W0ZqCZnOHv2LP8Z9hYtXnyTKo2aISJ4XDhE9zEzmDFjHI4ODlaZUG/cuDEfzPyMhLjYe2JEZUZE6HVuX75ArVq12Ldv393jDRs2ZN2qFRw7dozvV63myPe/ERcfj4e7O00aNWDmDysoVqxYtl9HbsJoNPLJ3M/p8OrodA1Barz9itLulRHMmvcFLVu2zAGFD4/RaGTK1A/ZHLSdUtXr0rFBTTp27c5Xc2c/FmHJLTEGbwNuQJKIxGNyFSmlVN6bBdXYhK8WfEOtzn2o+kTze477lS5L5+ET+HTeFAIDA7P9CaxIkSI0bliP47u306BdV4vr/bl9E09364KLi8sD50SE2rVrU7t27UfWl5iYyJ49e4iOjqZatWp54oZz8OBBEsSRMtX+H97bkGggMjKSpKQkABwdHPD09MTRvHqrXO0GBH83j6NHj9pEs6UsXbaM30/+y8uzl+Hs4orHhUNU79afV98Yzs8b1+f7EUKmV6eU8lBK2SmlnJRSnubP2hBoLCI5OZmgX3+lTqtOaZ4vUaEKFHC3WoTPFwf059CPy4i8ZVlyvtCQC5wK/ol+fTPfl/CwXLt2jcGvvkqpCpUZ9NZoRn88h8at21OrQUPWrVt396aaG1m3YRNVWwUiIsTExnDx0iX+PXeeyDgDCdiTgD134gycOXeOiyGXiI2LRUSoGtCJ9Zs221p+hny/ei0t+g2+ZxRZu2UHjAU8OHDggA2V5QwWLZwWER+gIqZ8BgAopXZaS5Qm/2AwGFBIhvkE3Lx9iI6OTvf8o1CvXj1eea4v/506kp6jp+HtVzTdstfP/8uPM8cxcfQ7lC5d2ip6Vq9Zw5jxE8HNm34ffUOJKjUBMMTGsHftdwwd+S6Lli3nm6++zJXzDtdDQylZozm3bt/ixs0w3HwKUbhwsQeWkHoU8iUuOoqLISEU9fOjULFSXNufu9ed3Lp1i4JFH9wk6FmkGOHh4TZQlLNkagxE5GVgOFAS+BN4EvgDaG1daZr8QIECBSjo483Vs3+jjEbOHj1IXEwUHWpV4HToHsrVrMeN82fw9/e3moZBg17EuYAzn417lQqNW1O3XTf8Spn6U0px5cwp/gxaz6U/9/HB+LG0b9/eKjpWr1nDzC8WIC6e9J48h4LF/29wnFzdaNF/CPFRkdy6eYWBL73C90sW58o9KVEx0SSGhVOweKm7q7XuR8QOVw8vnAu4cuNaCLGxMTmsMuvUqVWL0wf2UK9N4N1jhvg4Qk4coea7b9pQWc5giRNsONAQuKiUaoVpI9lNq6rS5BtEhDrVqzJ/9H9Y8clkbkVGoVy9SFaKHWuXM21gV1zs7fDz87OqjueefZbNa1bRtIwvy8a8wqTuTZjSswWTujdh48dj6NKgGkGb1lvNEFy/fp2PPptL7U49KVqx2j2GIDW12/cgOjISzyp1mfHpLKtoeRR8Cxbk/OkTeBcpka4hSI29oyPeRUtw7tQJCufyUN5DXx3M/lXfcOTXLcRG3SExIZ41M96jY6uWj0VWQkuMQXxKIhsRcVZKncaU/UyTAyil2LFjB2PGjWfyB1PzVPYspRSfzPqMA6fO0nrQm3QdNY1GTw+gfpfeuHkXpMPQcbQfMoYCxcsy+LWhxMZaN1TV6dOnWbdpM4XLVqLtoGEEDhlFm4GvUcDblzXrN3Lx4kWr9f3DmjVUbNIGB0cnPAqn76ry9CtKbNQdmj41gJ+3/UpkZKTVND0M3h5unN69DXvHzA1BCvaOTpzatZVCPlkPA56T1KxZkwXzPiP+xB/8983+RN28Tr/2LZg0Puf32MbGxrJ+/Xrmzp3LmjVrrOZGTY0lxuCyOeDcj5jiCa0HrlpXliaF6TNmMvmzL4guUokrjoV4Zfg7bNq0ydayLGLx4u/YGLyH596fS/NO3fD19iI2PJSbF8+SnJiIm5M9DVsE0HfsR0S5+DBi9LsYjZlGOnkofvnlF0ZOfJ8Wr4ym/wef06z7MzRo24UWPQfwwoxvqN7jBQYPe4vDhw9ne99Go5GVa9ZRt103fPyKcfPCmXTLhp4/Q8GiJXD39qF0nUa57nf9x8HD2NvZceX0MYvrXDx2EBdXN3b+sS/zwjamZs2afP35XA7s2UXFCuV5YeDAHI/Oe+zYMdp36cY3G7dxJFJYsnU37Tp3Zf/+/VbtN905AxF5Uim1VymVErB+kojsALyAn62qSgPA5cuXWbtpCy9/thRnVzcAytaqz8efjKNjx465OuppZGQkny/8lv7TF9ydPC5YsODdrF8FLhyiiF+Ru+U7DR7B4jGDOXjwII0aZS1ncWaEhYUx/oNp9Hzv0zTDSYgIVRo1w6mAC8NGjGL7T5txdnbOtv4jIiJISEqmcMkyFCpeioSvP+XSX4cpXePeIHZGo5HDm1ZS3+yzLlapFv+cPZdtOh6VhIQELoVcJvC1Mfz81Uf0nPAZHoUydu/dCb3OjoWf0uXl4WyePTmHlOZdEhISeP2td2j58ggq1nvy7vELJ44ybORotm5cb7V5pIxGBl+kvBGRPwCUUr8ppTYopQxWUaO5h9OnT1OiSs27hgCgWNmKJCq5m6w9t7Jx40ZK126El69lcwH2Dg7Uat+DpSuyP2/w2rXrKNuwRaZxhcrVqo9XqfJs27YtW/s3GAw4mNfc29nZ0eO1kQR9/iHHgjZgiDO5xm5ePMvmTyfgbG9/dxmug6MD8QkJ2arlUYiNjcXJxYUaTVrRtEtvVk8eTsiJI6S1F1UpxcVjB1n7/lsE9HyOqk80x8HJ2Wojv/zC9u3b8Spd4R5DAOBfvTbFq9fnp59+slrfGT1apl4rln6oR43VKFOmDDfO/kNyUtLd8Mm3Q69hTEzI9Xl1f1i/kTp9h2SpTs3mbZm/YgGRkZHZ+vSzduNmWrz6rkVlq7fqzJr1G+ncuXO29e/p6UlsVCSJhgQcnZwpV6s+/cdNZ+eapexe9hX2Do44u7rSqH03mnTri4PZHx95K4wSPt7ZpuNRcXV1xRAXh1KKxl174+Xrx/bv5mFEqBbQCe+iJVBKEXHtMid2bMHRwYGug9+kSsOmGI1GkgwJ+X7j1qNy5coVCpVJO7Czb5kKXLp82Wp9Z2QM7Mz7C+xSvb9rIJRSt6ymSgNAxYoVaVSnOmtmvEeDLn1IiI3hj9WLGPzCwGx1Y1iDG6Gh+JbI2lp9ZxdX3Lx9CA8Pz1ZjEHoz1OKE9r4lSvNXaPaOulxdXXmyYQNO7NlBnVYdAdNmu36jPyDJYCAxMQFnF7d7bpRGo5Ezu4MYPv39bNXyKDg7O1OmTGkunPiTsjXqUq1xS6o+2YKLJ49y9LetXD9hmm/xLOTL06+NpHTVmnf3H5w9eoAqlfW6k8woWbIk4XvWp3nu5oUztAnIXhdqajIyBl6YktmnGIDUM2sKyP175/MBM6ZNY/n33/Pzxu9wKVCAsa+/QocOHWwty3pYIf69k5MTiQkJFsUnSkyIx9HJ8pUylvJc395Mnv0ltQM63LNBy8HJCYc0IreeO3qQQh6u1KpV64FztmRA394sD1pP2RqmVCUign/1OvhXr5NhvWNBG3iln45cmhmtW7dm2sxP+fvAHio3bHr3+Pm/jnD91BECP55ktb7TNQZKKX+r9aqxGCcnJ14YOJAXBg60tZQsUcTPj/CrIbh7+1hcxxAfR/TtWxQqVCjdMklJSVy6dIno6GhcXV0pXbp0pmGw69SqxZnDf1C3dWCG5QDOHtlLwzqPHnfofpo1a4bfgoX8tuIbWj7zUoZJX+7cvMG2hZ8y7b3RuS45TOfOnflk7heEXjqPX+myFtW5dv4MYWdP0r79J+zdu9fKCvM2zs7OfDF7FkOGv8WJ4J8o5F+J2yFnCf3nOHNnfmzVsOjagaexCr26deH4jqwtizy+eztNGjVI00V08+ZNvvrqa9p06swLQ99kxPsf8dLwEbTqGMicefO4du3BfNMp9H+mD8eD1mc6eZlkMHByxxae6dM7S7otwc7Ojs9nf8btE/v5acGnRN1+MLyB0WjkzJF9fD9pOMNeGpgrk8K4ubkx8d1RrPt4LLeuX8m0fPjVENbPfI8p742lQAE99WgJNWrUYOumDbzSowMNCtozsFMA27ZsokGDBlbtN/euTdTkabp168bsrxYQGX7TolDHxuRkjgetZ/q77zxwbv/+/bw56l1K129G4Ihp96wKCrtyiX1BG1jW91k+mjIxzZj5TZo0ofjCb9m+9CvaDhiS5tN2clISm7/8iOYN61OhgnUysxYsWJBli75l1py5LBk5iOLV61G8Si0cHJ2IunWTM79vx8/Lnenjx+Tq2P+BgYHExMYyc9Jwnuj1IjWatcapwL0RXhPiYjm+ezsH1ixi7FvDaNeunY3U5k1cXFzo2tXySLvZgTYGGqvg6enJ4BeeZ/kn4+kzbgYubukPb41GIz8vnEWlEkUe2GPw559/Mmzku3QcNgH/6g+6b3xLlKbdC0Op1qwtoyeNY9aHTjRp0uSeMqan8lkMfn0oP0x/lwZd+lC2Rl1EBGNyMv8c2svBTSuo6OfDB1M+zJ4vIB3c3d0ZP/Zd3h4+jC1btnD6zL8kRBjw9/Hi7RkfUqNGjVznGkqL3r16UaF8eRYuWsz8FfMp/0QAnoVNuRwiQ69ydv9OmjSqz4I5s3LdvIcmbSyNWtoMqKiU+q+IFAbclVLnrStNk9d5+aVB3Lp9m+8nDqflgNcoW7PeA0sLQy+dZ9fKb/BR8Xw2b84DK2rGjJ9Iq5ffTtMQpKZEhSoEDpvImAmT2P7TZhzvC5fg5eXFd98sZOPGjXy34it+nheOi7sHMXduU7FcWd5+oR8dOnTIsd2mbm5u9O6d/e6onKRu3bp8Xrcu165dY9u2bYSGhSEi+NWrRLvRr1OkSJHMG9HkGiyJWjoRaIApHtF/AUdgKdA0o3oajYgwasQ71KhWlQWLFhC8KI6yjVrg4uFFk5LefD/5LeJuXuHZXj0ZNOjFByaC9+3bR4K9M5UaNEmnh3spU60Wrn4lCQ4OTtMt4ezsTK9evejZsyehoaHExMTg6emZK0NF5yWKFSvGgAEDbC1D84hYMjJ4ClOk0sMASqmrIpJ/M31rshURoXPnzgQGBnL8+HH27NnDnagIXO29GfVyf1q2bJluWI0Vq9dQo223LLlNarbpyver12TooxYR/dSq0dyHJcbAoJRSIqIARMQtswqa3MO5c+dYseoHtmwNIiIiAkdHR8qUKcOzvZ6mc+fOuLnlzK9TRKhVq9Zd/3FwcHCmk6TnLlyiadtnstRP8YpVOPjDgoeVqdE8tlhiDFaJyNeAt4i8AgwCMv1vE5ECwE7A2dzPaqXURBEpCKwE/IELQB+l1O2Hk69Jj7i4OMaOn8Dvh/6kWqtAek6cg0fBwhiTk7h85hTLt23gk7lfMH70CKsko88OkpKSsMtiMD57ewcSExOtpEijyb9k+p+mlJopIu2ASEzzBhOUUkEWtJ0AtFZKRYuII7BbRH4Cnga2K6Wmi8gYYAww+uEvQXM/CQkJvDLkdeI9/Xhl9rJ7d7g6OlKuZj3K1axHaMgFPpwxjrj4eHr36mU7wengW6ggEaHX7mYls4SIm9fxzWDTmkajSRuLNp0ppYKUUiOVUiMsNAQoEykZGRzNLwV0Bxabjy8GemRRsyYTZs76jBgXHwJfHZVmqIMU/Er502vsx8yc9xUnT57MQYWW0T2wIyd/y1q09L92/ES3Tvk4XEcqDAYDC7/5hs5P9eTvM2d4b+IkLlsxkJkmf5OpMRCRKBGJvO8VIiLrRCTD+EQiYi8ifwKhQJBSah9QRCl1DcD807r5Dh8zIiMj+XHTFtoMHGpRhMiCRUtQO7AXS5evyAF1WSMwMJBrp45yOzT93cWpibkTwblDe3iqR/5/vlBK8fbIUazbfZAmg0bgU6wUVx18ePaFQRnuxtZo0kPSikV+TwGRyZgymy3HFLTuGaAo8DcwRCkVkGknpkxp64A3gN1KKe9U524rpR4IYCMig4HBAEWKFKm/YoXtblbR0dG4u7vbrH9LiY6OxmAwcDs6Fm+/YhbXMxqTCQs5T6UKFXJsnb2l32l4eDjhEXfwKVYSO7v0tSll5Pa1K3h5uOFXOPMdz9mtM6eJi4vj0uUrFCrljyDYG2JJdnIl6lYYBeygaNHcuVoqt36faZFXtGaks1WrVoeUUhbFsbBkdq6jUuqJVJ/ni8hepdQUERlrSSdKqQgRCQY6AjdEpJhS6pqIFMM0akirznxgPkCDBg2ULbfnW7LyJTcQHBzMqrU/4l6vNdX862ep7pZVa6letSotWrSwkrp7sfQ7TcmjvGTtRlr2H0K52g3uGfEopbh48ii/LZ1PQL2avDRubLbGzM+tv/tvv/2W3RfDadPcNNfjceEQUf71uZJ0mv3ffcb6VZY9PF29epUf1qzh6F8nSTYaqVS+HH16Pk3FihWtoju3fp9pkVe0ZpdOS4yBUUT6AKvNn1PPNKY7rDDvVE40GwIXoC3wEbABGAhMN/9MO3i35qGIjI6msHvWt4E4u3nkSNLtrCIijHj7LapVqcyCRd8SvHgu/vWb4ezmjiEuhotH/sDLyZ5hzz9Hjx498kQoh+zA29ub6PATDxyPDL+Jj1fmieeTk5P5eOYnrNm4mcrN2+Mf0AM7O3vO/vMXA14dSqPa1Zn+wQe4umYe9luTP7DEGDwHzMaUBlMBe4H+5hv80AzqFQMWi4g9prmJVUqpTeYUmqtE5CXgEpC39+TnMlxdXO6mUswKiQlxuLi4ZF7QRgQGBtKpUyeOHz/OwYMHiYyKwqNIIer0eI969eo9NkYghbZt2/Lx7LlcOn2c0lVqAhAXE8W+td8xZshLmdafOm06e06e5eXZyyjg9n8XQ/naDWjS4zl+XvAJb7z1Dl9/PjdX59rWZB+WLC09B6QXPm93BvWOYdq5fP/xcKCNpQI1WaNezRr8dvTAPYkxMsMQH8eV039Rtep7VlT26Ny/ce1xxtPTk1nTP+TtMWMpVLYyT7dpzjdT36dvj26ZJj86deoUP+3YxQszv00z4Y+DoyOBr45i+aTh/Prrr7Rv395al6HJRVgSm6gA8BJQnVS5kJVSg6yoS/OQ9Oz5NN881ZuAZ1/B2dWy3cXHd2/nyQZ1KVq0qJXVabKTxo0bs/2nzezevZvY2FjWr1hGiRIlMq33/aofqN6ma4aZ3+zs7KgX2Jvvlq/QxuAxwZKZtiWYVg91AH4DSgJR1hSleXgKFy5My6aN2bl68d1jSilC/v6Lo79t5cSeHUTeCrt7LjbyDoc2fM/zz/azhVzNI+Lq6kr79u3x9va2yBAA7D14iMqNmmVarnKDJvx57BjJycmPKlOTB7DEGVhBKdVbRLorpRaLyHLgF2sL0zw848eOod+Agexc7UbBYqUI/uE7EpOS8StbiSRDPOu//pTytevTrHs/tn07i75dOz6QR0CTfzEYDBluRkzB3sEBO3sHkpKScmzJscZ2WGIMUgK9RIhIDeA6prhCmlyKl5cX3327kK49nuJaZBwdXh9H+YZN7y65jIu6w/4flzN7SF/eev1Vhg3NaB2AJr9RsnhxQi+ewyeTvShhVy7h6eGOs7NzDinT2BJLjMF8EfEB3sO0LNQdGG9VVZpHJioqimR7R17+6FOS7Z0Ju3QWOzt7lFII0LRbH4oU9uXkPwcfu5U4jzt9n+7B12s2ZrrI4Mi2jfR5Ov/v5taYyHDOQETsgEil1G2l1E6lVDmllJ9S6uscHnLqqgAAHShJREFU0qd5SFas+oFqrTpTsmxFypQuTZVKlSlfriwVK5SncuVKFC1ShCZd+/DPhRDOnDlja7maHKR9+/bE3wjhaHD6cZ8unDjKuT9+pU8uDGCosQ4ZGgOllJGM9xJocilBO4Kp0fz/CV7s7OxwdHDEwd4BwTQSsLO3p8KTAfz222+2kqmxAc7Ozsz/fC5H1i5i66J53Lp+5e656Ijb7FqzhJ/nTGb2x9P0CrPHCEvcREEiMgJTDoKYlINKqVtWU6V5ZGJjY3Fx98y0nLObJzGxWd+kpsnblCtXjh+WLWHJsmX8MOkNHF3dEbEj9s5tAtu35b1F31C2bFlby9TkIJYYg5T9BK+nOqaADCOWamyLr68vt65fxs3LO8NykaFX8CunN3E9jhQuXJi333yToa+9xrVr10hOTqZo0aI6BMVjiiU7kPXjQR6kV/eubNq+iVKVa6RbJi4mivMH99B+wogcVKbJbTg5OVGmTBlby9DYGEvyGbiKyHsiMt/8uaKI5M48iZq79Ojenet/HeTM4b3/a+++w6Mo1z6Of++QhJbQAokhBgEVxYMUQbAEBQSUKgiCgB5sICgKNkTsil2xoShYsCCghyIey6so4FGPCCihgwgcWzC0AMGQhOz9/jETDGF3s0C2JNyf68rF7swzM79Mhr132jNex3sKCvjs1Wfp1rkjCfZkMGOOeYHcgfwGkAec477/DRgXtESmVNSoUYOXnh3PgslP8eXUSQceEOPxePh52WJmPHw7tTWHu8bYE0eNMYGdMzhRVfuLyAAAVc0RuzC9TGjatCnvT32Ld96dxoy7h1OAsD8/n/qpxzNsQH969OhhPVIaY4DAikGe2121AojIiTgPuzdlQN26dRl9263cMmoku3fvJjo6mvj4eLvRzBhzkECKwf3Ap0CqiEwFzgWuDGImEwTR0dHUqlUr3DHCLi8vjy+++IJly1ew968c4uOqcnab1qSlpZXqE9KMKWsCuZroMxFZCpyF8wzkkaq6rYTJjIkoeXl5TJr8KtNmzqJ6SgNSm7WmYp0U/szew7wJkyh45DGuHDSAywcNsqJgjkmBPM9gLjANmKuqe0tqb0ykycnJYfiIm9gulbjk7mdIqJt60Phze11Gxsb1vP3mBJavWMXjjz5svXSaY04gX4GeBtoCq0XkfRHp6z7wxpiIp6rcPuZOsuNq0/uWBw4pBIWSGzai/11PsWrLDh578qkQpzQm/EosBqq6UFWvx7njeBLQD8gMdjBjSkN6ejrp6zfSZcitJR7+iY6Npdeo+5jz0Sf88ccfIUpoTGQI6LpC92qiHkB/4AzgTf9TmPJk69atzJw5i/nffMuuXbupWLEiJzesT/++fWjVqlVEX5k0dfp7NOnYkwoBXkJbsUpVGqV14l+zZtlzHswxJZA7kGcAa4AOwIs49x3cGOxgJvyys7MZfedddOnVl4UbMmjc62ouuOl+zrr6VnLqnsptDz5Kt959WLRoUbijepWXl8e8BQtoev7hPcO3WYduzP7woyClMiYyBfJ16Q1goKoWAIjIuSIyUFVvKGE6U4bt2rWLwdcOpdIJjRnywrtUrFL1oPHJDU6mVeeL2bDse24cPZaHxo7mwgsvDFNa77KysoitVCWg3luLqnVcCtu2bUNVg5SsfMrPdx6KGBMTE+Yk5kgEcmnppyLS3L0DuT+wCZgV9GQmbDweDyNG3UL8KWfQYdBQn4eBRISTW7Sh2tgnufeR20lOTqZp08jpATUqKurIPtBVI/rQVyTZsmUL78+cyfuzP2DHzp0A1E5IoH/vXvTpcwmJiYlhTmgC5fMwkYg0EpF7RWQNMAGnTyJR1faq+kLIEpqQ++677/g9K5v2A4cE9KGYdEJD2vS7homTXwtBusBVr16dgvxcsnce3qM3Mn/dRHJyshWEEkyfMYMel17Gf3/ZQfc7nuDWdz7j1nc+o+ttj/LVpky69enHzFn2vbGs8HfOYC1wAdBDVdPcAlAQmlgmnKbOeI8mHS8+rJuvTk/rwOJl6RF1FU5MTAw9u1zEj18e3vH/ZfM+5NJePYOUqnyYPmMGL7zxDgMfnkjnq24kMbU+IoKIkFivARdefROXPfACT098lVlWEMoEf//b+wBbgPkiMllELgAC/qokIqkiMl9E1ojIKhEZ6Q5vLiLficgyEVkiIq2P7lcwpWnXrl18t+QHTk/rcGDY/rw8ln/1OVMfHcvksTfwxn038/nbrxzoCRUgpmIlGp17Af/+KLJOvA7o349VX/6b3JzAnua2Z+d2Ni7+D5f07h3kZGVXZmYmT0+YSN87H6dmYrLPdgl1U+lz5+M8Ov45duywByNGOp/FQFVnq2p/4FRgAXAzkCQiE0UkkMsz9gO3qmpjnK4sbhCR04AngAdUtTlwr/veRIht27YRX6s2MRWd+wpXfvMl44f15/svPqF+m3a06T+EZj0GsCc3j5dvv45/PTuOvH05ANRMrkfGn5F1C0qjRo3o0q4tHzz7IPl5/vtXzMnezawn72Lo4CusHyc/Zs6cxUlntadmUt0S2ybUTaV+y3OZPWdOCJKZoxHITWd7VXWqqnYHjgeWAWMCmC5DVX9wX+/BuTw1Baf308LLO6oDkXNcweDxeA68/vHLT/hkykS63TqOXnc+wSnndKDuKU2o1+QMzrt8OFc+/y75RPH2uNHk5+UiIhF5Bc5dd47hH8fVZPqDt7Bx+dJDMnoKClj7/de8e+9NdEtrw5BrrwlT0rLhvTkf0Lxjj4DbN+/Uk/dmfxDERKY0SCj+84pIfeAroAlOQfg/nENOUcA5qvo/L9MMBYYCJCUltZw+fXrQc/qSnZ1NXFxc2JYfqNLIWVBQwPoNG6hVtx7bfv+FGnVTiY6J9T2Bwq6tGcREx4AIcTFR1KlTJyRZD1dWVhbbd+xgv0eJrVwViRLU4yF3bzYVY2OonZBAfHx82HMeiVDmXL1mDUkNGgXcXlXJ3LyB0xqfWmbWJ5SPv3379u2XqmqrQOYT9GIgInHAQuBhVZ0lIs8DC1V1poj0A4aqakd/82jVqpUuWbIkqDn9WbBgAe3atQvb8gNVWjmvHDKUX/Z6qHZ8A9IGXldi+12ZGbx3zw1UqxjNjCmv0rBhQ59t161bx+rVq4mNjaVr164hv2JHVUlPT2fFihXk5OQQFxdHq1ataNTI+4fbsfa3L4nH46Fpq9bc8s5nAV9gkJ+Xy4vXXsyPi/7LwoULy8T6hPLxtxeRgItBUPvqFZEYYCYwVVULLykYzN/3KbwP2AnkCDOo36Ws/m4hTS4I7FBA9cRkaqTUo1rFGL+FYPacOQweNoJpCxfzW8YW7n3gwZAfVhIRmjdvzhVXXMHQoUMZOHCgz0JgDhUVFUVycjIZG9cHPE3GxvWkpKTYpboRLmjFwH005mvAGlUdX2TUH8D57usOwE/BymCOTIsWLagQVYGYSpUDal+wfz81jjueM1o089kmPz+fh594ikvvGU/XYaNJSDmBBYuWkp6eXlqxTYj0v6QX6fM+DLh9+ry5DOhjV2dFumDuGZwLXAF0cC8jXSYiXYEhwNMikg48gntewESOChUqkFinDrm7s8jO8n9J4P68XHZm/Eq1+HgaNmjgs112djZEVTjQhbSIUCvlBLZv316q2U3wXdK7N5uXfkPmr5tLbLtl0wZ+S19Mz55230akC1oxUNWvVVVUtamqNnd/PnaHt1TVZqraRlWXBiuDOTLVqlWjYkwFasVXRvf9xbZfNpKdtYOC/fmoevAUFLDvr2x2bvmdrC2/cVxiHfK2byElJcXnPGvUqMFxdRJY9PFMPB4Pefty+POnVTRu3DiEv5kpDbVq1eK+Mbcz+7ExZP6yyWe7LZs2MOfJsTx0z1iqVTu8/qFM6AXWr685plSoUIFe3buxcv6ntBtwLfv25bBj506yMn6loKAAkSgqVowlsWZN4qulkr1jO1vWraBjx8d9zlNEeOm5Z7n59jsY/85Ebhx2HeMfHUfduiVfq24iT7du3RAR7n9wFKnNW9Psgp4k1T8RVMnYtIH0eXP5Y+VSxt17F506dQp3XBMAKwbGq8v6XUq/wVfT7IJu1ExMpm6y9/MHqspXM16nV/euVKlSxe8869Wrx8wZ08jPz+ebb77hnHPOCUZ0EyJdu3YlLS2NDz/8kGlvP0dGhnNHekpKCgP69Kb7E/cfcqmuiVxWDIxX9evXZ9SwIbz48O30Hv0ItVPqHdLGU1DAF29PRDM3M/KxewKet3VxXH5Uq1aNQYMGMWjQoHBHMUfJioHxaeCAAcTGxvLE/TdS97QW/KNdF6rXTiI/dx8/L1vE6vkf0+zURkyc9EqJewXGmMhmxcD41bdPH7pcdBEfffQRcz95j+07dlKxUkVaNj2dO1+ewMknnxzuiMaYUmDFwJSoatWq9OvXj379+oU7ijEmSIJ6B7IxxpiywYqBMcYYKwbGGGOsGBhjjMGKgTHGGKwYGGOMwYqBMcYYrBgYY4zBioExxhisGBhjjMGKgTHGGKwYGGOMwYqBMcYYrBgYY4zBioExxhisGBhjjMGKgTHGGKwYGGOMwYqBMcYYglgMRCRVROaLyBoRWSUiI4uMu1FE1rnDnwhWBmOMMYGJDuK89wO3quoPIhIPLBWRz4Ek4GKgqarmikhiEDMYY4wJQNCKgapmABnu6z0isgZIAYYAj6lqrjsuM1gZjDHGBEZUNfgLEakPfAU0cf/9ALgI2AfcpqqLvUwzFBgKkJSU1HL69OlBz+lLdnY2cXFxYVt+oMpKTig7WS1n6SorOaHsZPWXs3379ktVtVVAM1LVoP4AccBS4BL3/UrgeUCA1sAm3KLk66dly5Z6OH7//Xd98unx2rl7Tz2v04U6YtTNumjRosOaR1Hz588/4mlDqazkVC07WS1n6SorOVXLTlZ/OYElGuBndVCvJhKRGGAmMFVVZ7mDfwNmuVm/BzxA7dJa5sqVK+k78ArSd+TRYcR99L77WbRhC0bd/QCTJr9aWosxxphyJWjnDEREgNeANao6vsioOUAHYIGINAJigW2lscyCggJG3jaa86+5hVPOPPfA8FadenDqmWm8cff1tGl9Js2aNSuNxRljTLkRzKuJzgWuAFaIyDJ32FjgdeB1EVkJ5AGD3d2Zo/af//yHCtVrH1QICsXVqEnzLn2YOv29MlUMVJWMjAyysrKIiooiMTGRWrVqhTuWMaacCebVRF/jnBfw5vJgLHPdunUkN/b9Qd/g9JYsfPnTYCy61O3bt49PP/2Ut6bN4Pc/txKfUAdPQQG7t/1Jy2ZNGdT/UtLS0oiKsvsGjTFHL5h7BiFXuXJlcvdm+Bz/157dVK5UKYSJjsyaNWu4fuTNxKWeRNNeV9K92ZkHPvTz83JZ/e0CHnz+ZRJemcRLzz9HQkJCeAMbY8q8cvW1sn379mz8/ivyc/d5Hb9y4Sd069wxxKkOz9q1a7l6+AhaD7qBPreP4+QWbQ769h8TW5Fm7S5k0EMvEtf4TC6/6hqysrLCmNgYUx6Uq2KQmppKx7ZpfPDcQ+Tm/HVguKqy5LO57FiXziW9e4cxoX95eXkMv2kUba8aSeM2bf22FRHa9h1MYvNzGHP3vSFKaIwpr8rVYSKA+++9m3GPPsbkGwfS4IyziKlclV+XL6ZOfFWmTH6F6tWrhzuiT/PmzaNK8gmc1ua8gKdpe+lVTBpxGZs3bw5eMGNMuVfuikFsbCwP3ncvNwy7jq+//prc3FxOG9CDZs2a4VztGrnemjaDpp37HdY00TExnNauCzPe/xdtzgzsRkNjjCmu3BWDQklJSfTp0yfcMQK2Y8cONmzaTOeWZx/2tE3O68zHT46xYmCMOWLl6pxBWZaVlUXV6jWP6FLR+Fq17SSyMeaoWDGIENHR0Xg8BUc0radgP9HR5XYnzxgTAlYMIkRCQgJ7s3aSs3fPYU+b+ctmjjvuuCCkMsYcK6wYRIiqVavS4by2LF/42WFPu/zLD+nf++IgpDLGHCusGESQgf0vZeW8uXg8noCnyd65g1+WfU+PHj2CmMwYU95ZMYggLVq04NR6KXw+ZQKB9N23Py+Puc89wBWX9aNatWohSGiMKa+sGEQQEeGZp54g/9e1fDLp6YPuoi5u9/atTB93K2c0TGXE9cNDmNIYUx7ZJSgRJi4ujrdee5UHxj3C5BsHcvLZ7WlyXmeq1U5EPR62/vY/ln/xIRmrl3HloAEMu25oyHou9Xg8ZGRkULNmTapUqRKSZRpjQsOKQQSqUqUKjz8yjszMTGbOnMVHbzzNzqwsKkRVICkpkYE9u9P9mUeoWrVqyDLl5+czbMRNrFy/gSjPfl56djwtWrQI2fKNMcFlxSCCJSYmMnz4MIYPHxbuKHz77bf8sjOb616cwapvvuSFia/w+qSXwx3LGFNK7JyBCUilSpXI/Wsv+/buYc+ObVSuHPnPhTDGBM72DExAWrduzUVtz2LyiMtIPf54JjzzdLgjGWNKkRUDExARYewdoxl7x+hwRzHGBIEdJjLGGGPFwBhjjBUDY4wxWDEwxhiDFQNjjDFYMTDGGIMVA2OMMYAE0lVyuInIVuB/YYxQG9gWxuUHqqzkhLKT1XKWrrKSE8pOVn85T1DVOoHMpEwUg3ATkSWq2ircOUpSVnJC2clqOUtXWckJZSdraeW0w0TGGGOsGBhjjLFiEKhJ4Q4QoLKSE8pOVstZuspKTig7WUslp50zMMYYY3sGxhhjrBgYY4zhGC8GIvK6iGSKyMoiw2qJyOci8pP7b00f014kIutEZIOIjAlDzidFZK2ILBeR2SJSw8e0m0VkhYgsE5ElwczpJ+v9IvK7m2GZiHT1MW241+mMIhk3i8gyH9OGbJ2KSKqIzBeRNSKySkRGusMjajv1kzOitlM/OSNxG/WVNTjbqaoesz/AecAZwMoiw54AxrivxwCPe5muAvAz0BCIBdKB00KcszMQ7b5+3FtOd9xmoHaY1+n9wG0lTBf2dVps/NPAveFep0AycIb7Oh5YD5wWadupn5wRtZ36yRmJ26jXrMHaTo/pPQNV/QrYUWzwxcCb7us3gV5eJm0NbFDVjaqaB0x3pwtZTlX9TFX3u2+/A44P1vIPh491Goiwr9NCIiJAP2BasJYfKFXNUNUf3Nd7gDVAChG2nfrKGWnbqZ/1GYhQb6N+s5b2dnpMFwMfklQ1A5w/BpDopU0K8GuR978R+AYVDFcDn/gYp8BnIrJURIaGMFNxI9xDBa/7OKQRSeu0LfCnqv7kY3xY1qmI1AdaAIuI4O20WM6iImo79ZIzYrdRH+u0VLdTKwZHRrwMC8s1uiJyF7AfmOqjybmqegbQBbhBRM4LWbi/TQROBJoDGTi7tsVFzDoFBuD/21bI16mIxAEzgVGqujvQybwMC+o69ZUz0rZTLzkjdhv187cv1e3UisGh/hSRZAD330wvbX4DUou8Px74IwTZDiIig4HuwCB1DxIWp6p/uP9mArNxdnVDSlX/VNUCVfUAk31kiJR1Gg1cAszw1SbU61REYnA+DKaq6ix3cMRtpz5yRtx26i1npG6jftZpqW+nVgwONRcY7L4eDHzgpc1i4GQRaSAiscBl7nQhIyIXAXcAPVX1Lx9tqopIfOFrnJN5K721DabCDy1Xbx8Zwr5OXR2Btar6m7eRoV6n7nHh14A1qjq+yKiI2k595Yy07dRPzojbRv387SEY22mwzoSXhR+cXawMIB+n6l8DJABfAD+5/9Zy29YFPi4ybVecs/s/A3eFIecGnOOXy9yfl4vnxLnqId39WRXsnH6yvg2sAJbj/OdJjsR16g6fAgwr1jZs6xRIwzkUsbzI37prpG2nfnJG1HbqJ2ckbqNeswZrO7XuKIwxxthhImOMMVYMjDHGYMXAGGMMVgyMMcZgxcAYYwxWDAwgIglFekHcUqz3xthibUeJSJUA5rlARA55SLc7fEmR961EZEEp/R5XisiE0phXCcs51V03P4rIicXGFfYUuVxEForICUXGfetjflNEpG8p5GohIq+6r68Uka1uztUiMuQo591FRJaI04PmWhF5yh0+TET+WWSZdQOY1zwf3T2YMLJiYFDV7araXFWbAy8DzxS+V6dDrqJGASUWgxIkikiXo5xHqRORCgE27QV8oKotVPVnL+Pbq2pTYAFwd+FAVT3n6FP6NRZ4ocj7Ge7ftB3wiIgkBTIT9+7Wou+bABOAy1W1MdAE2Aigqi+r6ltu0ytxrnUvydvA9YFkMaFjxcB4JSIXuN98V7gdd1UUkZtw/rPPF5H5bruJ7jfGVSLyQICzf5IiH5JFlnnQN3sR+beItHNfZ4vI4+J0ujVPRFq7exkbRaRnkdmkisin4vQ5f1+ReV0uIt+735RfKfzgd+f7oIgsAs4ulqe5iHwnf/fFX1Ocfu5HAdcWrgM//svBvUxmu/+KiExwv7F/RJFO5kSkpbtHsVRE/k/+7nLiJrf9chGZ7mXdxQNNVTW9+Dh1uiP4GTjBz/wXiMgjIrIQGFlsFqOBh1V1rTu//ar6kjvd/SJym7tn0wqY6q7jbiIyu0i+TiJS2J3CXJx+dUwEsWJgvKmEc4djf1U9HYgGhqvq8zh9sbRX1fZu27tUtRXQFDhfRJoGMP//Arki0r7Eln+rCixQ1ZbAHmAc0Amn64AHi7RrDQzC6XDsUvcwVGOgP07HXc2BArdN4XxXqmobVf262DLfAu5wv+WvAO5T1Y/5e++ppPwXAXO8DO8NnAKcDgwBzoED/dC8APR1f8/XgYfdacYALdwsw7zMsxU+uhsQkYY4d6T+z8/8AWqo6vmqWryTtibAUn+/qKr+C1iC0/9Qc+BjoLGI1HGbXAW84bbdCVQUkQR/8zShFV1yE3MMqgBsUtX17vs3gRuAZ7207SdO97jROA/jOA3n9vmSjMPZO7gjwEx5wKfu6xVArqrmi8gKoH6Rdp+r6nYA95toGk5vmS2BxSICUJm/O3YrwOkI7CAiUh3nw3GhO+hN4P0As853D8lk4mUPCOfBOtNUtQD4Q0S+dIefgvPB+7mbswJOlxngrNOpIjIH7wUmGdhabFh/EUkDcoHrgDp+5g9+Oj07XKqqIvI2cLmIvIGz1/XPIk0ycfYyt5fWMs3RsWJgvNkbSCMRaQDcBpypqjtFZArOXkWJVPVLEXkIOKvI4P0cvLdadF75+nffKR6cDzhU1VPsGHfx/lUUp+vhN1X1Ti9R9rkfyqWpPc46nIKz13KLlzbe+oERYJWqnu1lXDecItITuEdE/qF/PzQGIIdD1/0MVR1xYOYip/uZP/j+u6/CKaaHHIIqwRvAh8A+4P1ieSu5mU2EsMNExptKQH0ROcl9fwVQ+A15D84j+ACq4XyA7HK/CR/uSeGHcY5HF9oMNBeRKBFJ5ci6Me4kzvOBK+Oc6P0GpyO3viKSCAeeH3yCv5mo6i5gp4i0dQcVXQclUtUcnHML/xSRWsVGfwVcJiIV3GP2hYeb1gF1RORsN2eMiPxDRKKAVFWdj7O+agBxxea5BjgJ/7zOP4Bf50lgrIg0cqeLEhFvBa7otoE6XSj/gbN3NKVwuDi7Jcfh/L1NhLA9A+PNPpxjvO+737oX4xwnB5gEfCIiGaraXkR+xPnmuBHngzdgqvqxiBQ9tPENsAnnMNBK4IcjyP41ztUqJwHvquoSABG5G+epT1E4PZXegHMM3Z/BwMviXEq7EWedBExVM0Rkmrush4qMmg10wPk91+MWGVXNc0/EPu8eporGOTS3HnjHHSY45yuyii1rrYhUF5F4dR6R6C2Pr/mvKuH3WC4io4Bp7rpQ4CMvTafgrK8c4Gy3IE4F6qjq6iLtWgLfFdtTMGFmvZYaU06IyM3AHlV9NdxZColzddiPqvpakWHPAXNV9YvwJTPF2WEiY8qPibjnUiKBiCzFucrsnWKjVlohiDy2Z2CMMcb2DIwxxlgxMMYYgxUDY4wxWDEwxhiDFQNjjDHA/wMM2sKQmPqv+QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Build the scatter plots for suburban cities.\n",
    "plt.scatter(suburban_ride_count,\n",
    "      suburban_avg_fare,\n",
    "      s=10*suburban_driver_count, c=\"skyblue\",\n",
    "      edgecolor=\"black\", linewidths=1,\n",
    "      alpha=0.8, label=\"Suburban\")\n",
    "plt.title(\"PyBer Ride-Sharing Data (2019)\")\n",
    "plt.ylabel(\"Average Fare ($)\")\n",
    "plt.xlabel(\"Total Number of Rides (Per City)\")\n",
    "plt.grid(True)\n",
    "# Add the legend.\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x13194f68ec8>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Build the scatter plots for rural cities.\n",
    "plt.scatter(rural_ride_count,\n",
    "      rural_avg_fare,\n",
    "      s=10*rural_driver_count, c=\"gold\",\n",
    "      edgecolor=\"black\", linewidths=1,\n",
    "      alpha=0.8, label=\"Rural\")\n",
    "plt.title(\"PyBer Ride-Sharing Data (2019)\")\n",
    "plt.ylabel(\"Average Fare ($)\")\n",
    "plt.xlabel(\"Total Number of Rides (Per City)\")\n",
    "plt.grid(True)\n",
    "# Add the legend.\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Add the scatter charts for each type of city.\n",
    "plt.scatter(urban_ride_count,\n",
    "      urban_avg_fare,\n",
    "      s=10*urban_driver_count, c=\"coral\",\n",
    "      edgecolor=\"black\", linewidths=1,\n",
    "      alpha=0.8, label=\"Urban\")\n",
    "\n",
    "plt.scatter(suburban_ride_count,\n",
    "      suburban_avg_fare,\n",
    "      s=10*suburban_driver_count, c=\"skyblue\",\n",
    "      edgecolor=\"black\", linewidths=1,\n",
    "      alpha=0.8, label=\"Suburban\")\n",
    "\n",
    "plt.scatter(rural_ride_count,\n",
    "      rural_avg_fare,\n",
    "      s=10*rural_driver_count, c=\"gold\",\n",
    "      edgecolor=\"black\", linewidths=1,\n",
    "      alpha=0.8, label=\"Rural\")\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Build the scatter charts for each city type.\n",
    "plt.subplots(figsize=(10, 6))\n",
    "plt.scatter(urban_ride_count,\n",
    "      urban_avg_fare,\n",
    "      s=10*urban_driver_count, c=\"coral\",\n",
    "      edgecolor=\"black\", linewidths=1,\n",
    "      alpha=0.8, label=\"Urban\")\n",
    "\n",
    "plt.scatter(suburban_ride_count,\n",
    "      suburban_avg_fare,\n",
    "      s=10*suburban_driver_count, c=\"skyblue\",\n",
    "      edgecolor=\"black\", linewidths=1,\n",
    "      alpha=0.8, label=\"Suburban\")\n",
    "\n",
    "plt.scatter(rural_ride_count,\n",
    "      rural_avg_fare,\n",
    "      s=10*rural_driver_count, c=\"gold\",\n",
    "      edgecolor=\"black\", linewidths=1,\n",
    "      alpha=0.8, label=\"Rural\")\n",
    "\n",
    "# Incorporate the other graph properties\n",
    "plt.title(\"PyBer Ride-Sharing Data (2019)\", fontsize=20)\n",
    "plt.ylabel(\"Average Fare ($)\", fontsize=12)\n",
    "plt.xlabel(\"Total Number of Rides (Per City)\", fontsize=12)\n",
    "plt.grid(True)\n",
    "\n",
    "# Create a legend\n",
    "lgnd = plt.legend(fontsize=\"12\", mode=\"Expanded\",\n",
    "         scatterpoints=1, loc=\"best\", title=\"City Types\")\n",
    "lgnd.legendHandles[0]._sizes = [75]\n",
    "lgnd.legendHandles[1]._sizes = [75]\n",
    "lgnd.legendHandles[2]._sizes = [75]\n",
    "lgnd.get_title().set_fontsize(12)\n",
    "\n",
    "# Incorporate a text label about circle size.\n",
    "plt.text(42, 35, \"Note: Circle size correlates with driver count per city.\", fontsize=\"12\")\n",
    "\n",
    "# Add the legend.\n",
    "plt.legend()\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}