Problem solving with pandas.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>186845</th>\n",
       "      <td>319666</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>12/11/19 20:58</td>\n",
       "      <td>14 Madison St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186846</th>\n",
       "      <td>319667</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>2</td>\n",
       "      <td>3.84</td>\n",
       "      <td>12/01/19 12:01</td>\n",
       "      <td>549 Willow St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186847</th>\n",
       "      <td>319668</td>\n",
       "      <td>Vareebadd Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>400</td>\n",
       "      <td>12/09/19 06:43</td>\n",
       "      <td>273 Wilson St, Seattle, WA 98101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186848</th>\n",
       "      <td>319669</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>12/03/19 10:39</td>\n",
       "      <td>778 River St, Dallas, TX 75001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186849</th>\n",
       "      <td>319670</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>12/21/19 21:45</td>\n",
       "      <td>747 Chestnut St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Order ID                     Product Quantity Ordered Price Each  \\\n",
       "186845   319666    Lightning Charging Cable                1      14.95   \n",
       "186846   319667       AA Batteries (4-pack)                2       3.84   \n",
       "186847   319668             Vareebadd Phone                1        400   \n",
       "186848   319669            Wired Headphones                1      11.99   \n",
       "186849   319670  Bose SoundSport Headphones                1      99.99   \n",
       "\n",
       "            Order Date                        Purchase Address  \n",
       "186845  12/11/19 20:58  14 Madison St, San Francisco, CA 94016  \n",
       "186846  12/01/19 12:01    549 Willow St, Los Angeles, CA 90001  \n",
       "186847  12/09/19 06:43        273 Wilson St, Seattle, WA 98101  \n",
       "186848  12/03/19 10:39          778 River St, Dallas, TX 75001  \n",
       "186849  12/21/19 21:45  747 Chestnut St, Los Angeles, CA 90001  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "df = pd.concat(\n",
    "    map(pd.read_csv, [r'C:\\Users\\JH\\Downloads\\Pandas-Data-Science-Tasks-master\\Pandas-Data-Science-Tasks-master\\SalesAnalysis\\Sales_Data\\Sales_April_2019.csv',\n",
    "                      r'C:\\Users\\JH\\Downloads\\Pandas-Data-Science-Tasks-master\\Pandas-Data-Science-Tasks-master\\SalesAnalysis\\Sales_Data\\Sales_January_2019.csv',\n",
    "                      r'C:\\Users\\JH\\Downloads\\Pandas-Data-Science-Tasks-master\\Pandas-Data-Science-Tasks-master\\SalesAnalysis\\Sales_Data\\Sales_February_2019.csv',\n",
    "                      r'C:\\Users\\JH\\Downloads\\Pandas-Data-Science-Tasks-master\\Pandas-Data-Science-Tasks-master\\SalesAnalysis\\Sales_Data\\Sales_March_2019.csv',\n",
    "                      r'C:\\Users\\JH\\Downloads\\Pandas-Data-Science-Tasks-master\\Pandas-Data-Science-Tasks-master\\SalesAnalysis\\Sales_Data\\Sales_May_2019.csv',\n",
    "                      r'C:\\Users\\JH\\Downloads\\Pandas-Data-Science-Tasks-master\\Pandas-Data-Science-Tasks-master\\SalesAnalysis\\Sales_Data\\Sales_June_2019.csv',\n",
    "                      r'C:\\Users\\JH\\Downloads\\Pandas-Data-Science-Tasks-master\\Pandas-Data-Science-Tasks-master\\SalesAnalysis\\Sales_Data\\Sales_July_2019.csv',\n",
    "                      r'C:\\Users\\JH\\Downloads\\Pandas-Data-Science-Tasks-master\\Pandas-Data-Science-Tasks-master\\SalesAnalysis\\Sales_Data\\Sales_August_2019.csv',\n",
    "                      r'C:\\Users\\JH\\Downloads\\Pandas-Data-Science-Tasks-master\\Pandas-Data-Science-Tasks-master\\SalesAnalysis\\Sales_Data\\Sales_September_2019.csv',\n",
    "                      r'C:\\Users\\JH\\Downloads\\Pandas-Data-Science-Tasks-master\\Pandas-Data-Science-Tasks-master\\SalesAnalysis\\Sales_Data\\Sales_October_2019.csv',\n",
    "                      r'C:\\Users\\JH\\Downloads\\Pandas-Data-Science-Tasks-master\\Pandas-Data-Science-Tasks-master\\SalesAnalysis\\Sales_Data\\Sales_November_2019.csv',\n",
    "                      r'C:\\Users\\JH\\Downloads\\Pandas-Data-Science-Tasks-master\\Pandas-Data-Science-Tasks-master\\SalesAnalysis\\Sales_Data\\Sales_December_2019.csv']),ignore_index=True)\n",
    "df.tail()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
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       "      <th>Price Each</th>\n",
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       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/19/19 08:46</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>04</td>\n",
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       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>04/07/19 22:30</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                     Product Quantity Ordered Price Each  \\\n",
       "0   176558        USB-C Charging Cable                2      11.95   \n",
       "1      NaN                         NaN              NaN        NaN   \n",
       "2   176559  Bose SoundSport Headphones                1      99.99   \n",
       "3   176560                Google Phone                1        600   \n",
       "4   176560            Wired Headphones                1      11.99   \n",
       "\n",
       "       Order Date                      Purchase Address Month  \n",
       "0  04/19/19 08:46          917 1st St, Dallas, TX 75001    04  \n",
       "1             NaN                                   NaN   NaN  \n",
       "2  04/07/19 22:30     682 Chestnut St, Boston, MA 02215    04  \n",
       "3  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001    04  \n",
       "4  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001    04  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aylar = df['Month'] =df['Order Date'].str[0:2]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>176558</td>\n",
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       "      <td>04</td>\n",
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       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/30/19 09:27</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                     Product Quantity Ordered Price Each  \\\n",
       "0   176558        USB-C Charging Cable                2      11.95   \n",
       "2   176559  Bose SoundSport Headphones                1      99.99   \n",
       "3   176560                Google Phone                1        600   \n",
       "4   176560            Wired Headphones                1      11.99   \n",
       "5   176561            Wired Headphones                1      11.99   \n",
       "\n",
       "       Order Date                      Purchase Address Month  \n",
       "0  04/19/19 08:46          917 1st St, Dallas, TX 75001    04  \n",
       "2  04/07/19 22:30     682 Chestnut St, Boston, MA 02215    04  \n",
       "3  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001    04  \n",
       "4  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001    04  \n",
       "5  04/30/19 09:27     333 8th St, Los Angeles, CA 90001    04  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_nan = df[df.isna().any(axis=1)]\n",
    "df_nan.head()\n",
    "\n",
    "df = df.dropna(how='all')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
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       "      <td>99.99</td>\n",
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       "      <td>04</td>\n",
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       "      <th>3</th>\n",
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       "      <td>600</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>04</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
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       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
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       "      <td>04</td>\n",
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       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/30/19 09:27</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "  Order ID                     Product Quantity Ordered Price Each  \\\n",
       "0   176558        USB-C Charging Cable                2      11.95   \n",
       "2   176559  Bose SoundSport Headphones                1      99.99   \n",
       "3   176560                Google Phone                1        600   \n",
       "4   176560            Wired Headphones                1      11.99   \n",
       "5   176561            Wired Headphones                1      11.99   \n",
       "\n",
       "       Order Date                      Purchase Address Month  \n",
       "0  04/19/19 08:46          917 1st St, Dallas, TX 75001    04  \n",
       "2  04/07/19 22:30     682 Chestnut St, Boston, MA 02215    04  \n",
       "3  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001    04  \n",
       "4  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001    04  \n",
       "5  04/30/19 09:27     333 8th St, Los Angeles, CA 90001    04  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df= df[df['Order Date'].str[0:2] != 'Or']\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
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       "      <td>176558</td>\n",
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       "      <td>Bose SoundSport Headphones</td>\n",
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       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600</td>\n",
       "      <td>04/12/19 14:38</td>\n",
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       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/30/19 09:27</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                     Product Quantity Ordered Price Each  \\\n",
       "0   176558        USB-C Charging Cable                2      11.95   \n",
       "2   176559  Bose SoundSport Headphones                1      99.99   \n",
       "3   176560                Google Phone                1        600   \n",
       "4   176560            Wired Headphones                1      11.99   \n",
       "5   176561            Wired Headphones                1      11.99   \n",
       "\n",
       "       Order Date                      Purchase Address  Month  \n",
       "0  04/19/19 08:46          917 1st St, Dallas, TX 75001      4  \n",
       "2  04/07/19 22:30     682 Chestnut St, Boston, MA 02215      4  \n",
       "3  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4  \n",
       "4  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4  \n",
       "5  04/30/19 09:27     333 8th St, Los Angeles, CA 90001      4  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Month'] =df['Order Date'].str[0:2]\n",
    "df['Month'] =df['Month'].astype('int32')\n",
    "df.head()"
   ]
  },
  {
   "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>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/19/19 08:46</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>4</td>\n",
       "      <td>23.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>04/07/19 22:30</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "      <td>4</td>\n",
       "      <td>99.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/30/19 09:27</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                     Product  Quantity Ordered  Price Each  \\\n",
       "0   176558        USB-C Charging Cable                 2       11.95   \n",
       "2   176559  Bose SoundSport Headphones                 1       99.99   \n",
       "3   176560                Google Phone                 1      600.00   \n",
       "4   176560            Wired Headphones                 1       11.99   \n",
       "5   176561            Wired Headphones                 1       11.99   \n",
       "\n",
       "       Order Date                      Purchase Address  Month   Sales  \n",
       "0  04/19/19 08:46          917 1st St, Dallas, TX 75001      4   23.90  \n",
       "2  04/07/19 22:30     682 Chestnut St, Boston, MA 02215      4   99.99  \n",
       "3  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4  600.00  \n",
       "4  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4   11.99  \n",
       "5  04/30/19 09:27     333 8th St, Los Angeles, CA 90001      4   11.99  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Quantity Ordered'] = pd.to_numeric(df['Quantity Ordered'])\n",
    "df['Price Each'] = pd.to_numeric(df['Price Each'])\n",
    "df['Sales'] = df['Quantity Ordered'] * df['Price Each']\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "results= df.groupby('Month').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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": [
    "import matplotlib.pyplot as plt\n",
    "months = range(1,13)\n",
    "\n",
    "plt.bar(months, results['Sales'],color='red')\n",
    "plt.xticks(months)\n",
    "plt.xlabel('Months')\n",
    "plt.ylabel('Sales')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Cities</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/19/19 08:46</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>4</td>\n",
       "      <td>23.90</td>\n",
       "      <td>Dallas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>04/07/19 22:30</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "      <td>4</td>\n",
       "      <td>99.99</td>\n",
       "      <td>Boston</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Los Angeles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/30/19 09:27</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                     Product  Quantity Ordered  Price Each  \\\n",
       "0   176558        USB-C Charging Cable                 2       11.95   \n",
       "2   176559  Bose SoundSport Headphones                 1       99.99   \n",
       "3   176560                Google Phone                 1      600.00   \n",
       "4   176560            Wired Headphones                 1       11.99   \n",
       "5   176561            Wired Headphones                 1       11.99   \n",
       "\n",
       "       Order Date                      Purchase Address  Month   Sales  \\\n",
       "0  04/19/19 08:46          917 1st St, Dallas, TX 75001      4   23.90   \n",
       "2  04/07/19 22:30     682 Chestnut St, Boston, MA 02215      4   99.99   \n",
       "3  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4  600.00   \n",
       "4  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4   11.99   \n",
       "5  04/30/19 09:27     333 8th St, Los Angeles, CA 90001      4   11.99   \n",
       "\n",
       "         Cities  \n",
       "0        Dallas  \n",
       "2        Boston  \n",
       "3   Los Angeles  \n",
       "4   Los Angeles  \n",
       "5   Los Angeles  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Ancaq sheherleri chixarmagin 1-ci yolu\n",
    "\n",
    "df['Cities'] = df['Purchase Address'].apply(lambda x: x.split(',')[1])\n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/19/19 08:46</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>4</td>\n",
       "      <td>23.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>04/07/19 22:30</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "      <td>4</td>\n",
       "      <td>99.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/30/19 09:27</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                     Product  Quantity Ordered  Price Each  \\\n",
       "0   176558        USB-C Charging Cable                 2       11.95   \n",
       "2   176559  Bose SoundSport Headphones                 1       99.99   \n",
       "3   176560                Google Phone                 1      600.00   \n",
       "4   176560            Wired Headphones                 1       11.99   \n",
       "5   176561            Wired Headphones                 1       11.99   \n",
       "\n",
       "       Order Date                      Purchase Address  Month   Sales  \n",
       "0  04/19/19 08:46          917 1st St, Dallas, TX 75001      4   23.90  \n",
       "2  04/07/19 22:30     682 Chestnut St, Boston, MA 02215      4   99.99  \n",
       "3  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4  600.00  \n",
       "4  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4   11.99  \n",
       "5  04/30/19 09:27     333 8th St, Los Angeles, CA 90001      4   11.99  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.drop(columns = 'Cities')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Cities</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/19/19 08:46</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>4</td>\n",
       "      <td>23.90</td>\n",
       "      <td>Dallas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>04/07/19 22:30</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "      <td>4</td>\n",
       "      <td>99.99</td>\n",
       "      <td>Boston</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Los Angeles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/30/19 09:27</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                     Product  Quantity Ordered  Price Each  \\\n",
       "0   176558        USB-C Charging Cable                 2       11.95   \n",
       "2   176559  Bose SoundSport Headphones                 1       99.99   \n",
       "3   176560                Google Phone                 1      600.00   \n",
       "4   176560            Wired Headphones                 1       11.99   \n",
       "5   176561            Wired Headphones                 1       11.99   \n",
       "\n",
       "       Order Date                      Purchase Address  Month   Sales  \\\n",
       "0  04/19/19 08:46          917 1st St, Dallas, TX 75001      4   23.90   \n",
       "2  04/07/19 22:30     682 Chestnut St, Boston, MA 02215      4   99.99   \n",
       "3  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4  600.00   \n",
       "4  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4   11.99   \n",
       "5  04/30/19 09:27     333 8th St, Los Angeles, CA 90001      4   11.99   \n",
       "\n",
       "         Cities  \n",
       "0        Dallas  \n",
       "2        Boston  \n",
       "3   Los Angeles  \n",
       "4   Los Angeles  \n",
       "5   Los Angeles  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Ancaq sheherleri chixarmagin 2-ci yolu\n",
    "\n",
    "def get_city(x):\n",
    "    return x.split(',')[1]\n",
    "\n",
    "df['Cities'] = df['Purchase Address'].apply(lambda x: get_city(x))\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Cities</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/19/19 08:46</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>4</td>\n",
       "      <td>23.90</td>\n",
       "      <td>Dallas  TX 75001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>04/07/19 22:30</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "      <td>4</td>\n",
       "      <td>99.99</td>\n",
       "      <td>Boston  MA 02215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Los Angeles  CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles  CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/30/19 09:27</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles  CA 90001</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                     Product  Quantity Ordered  Price Each  \\\n",
       "0   176558        USB-C Charging Cable                 2       11.95   \n",
       "2   176559  Bose SoundSport Headphones                 1       99.99   \n",
       "3   176560                Google Phone                 1      600.00   \n",
       "4   176560            Wired Headphones                 1       11.99   \n",
       "5   176561            Wired Headphones                 1       11.99   \n",
       "\n",
       "       Order Date                      Purchase Address  Month   Sales  \\\n",
       "0  04/19/19 08:46          917 1st St, Dallas, TX 75001      4   23.90   \n",
       "2  04/07/19 22:30     682 Chestnut St, Boston, MA 02215      4   99.99   \n",
       "3  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4  600.00   \n",
       "4  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4   11.99   \n",
       "5  04/30/19 09:27     333 8th St, Los Angeles, CA 90001      4   11.99   \n",
       "\n",
       "                   Cities  \n",
       "0        Dallas  TX 75001  \n",
       "2        Boston  MA 02215  \n",
       "3   Los Angeles  CA 90001  \n",
       "4   Los Angeles  CA 90001  \n",
       "5   Los Angeles  CA 90001  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#State-leride getirir ZIP kodlari ile\n",
    "def get_city(x):\n",
    "    return x.split(',')[1]\n",
    "\n",
    "def get_state(x):\n",
    "    return x.split(',')[2]\n",
    "\n",
    "df['Cities'] = df['Purchase Address'].apply(lambda x: get_city(x) + ' '+ get_state(x))\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Cities</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/19/19 08:46</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>4</td>\n",
       "      <td>23.90</td>\n",
       "      <td>Dallas TX</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>04/07/19 22:30</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "      <td>4</td>\n",
       "      <td>99.99</td>\n",
       "      <td>Boston MA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Los Angeles CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/30/19 09:27</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles CA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                     Product  Quantity Ordered  Price Each  \\\n",
       "0   176558        USB-C Charging Cable                 2       11.95   \n",
       "2   176559  Bose SoundSport Headphones                 1       99.99   \n",
       "3   176560                Google Phone                 1      600.00   \n",
       "4   176560            Wired Headphones                 1       11.99   \n",
       "5   176561            Wired Headphones                 1       11.99   \n",
       "\n",
       "       Order Date                      Purchase Address  Month   Sales  \\\n",
       "0  04/19/19 08:46          917 1st St, Dallas, TX 75001      4   23.90   \n",
       "2  04/07/19 22:30     682 Chestnut St, Boston, MA 02215      4   99.99   \n",
       "3  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4  600.00   \n",
       "4  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4   11.99   \n",
       "5  04/30/19 09:27     333 8th St, Los Angeles, CA 90001      4   11.99   \n",
       "\n",
       "            Cities  \n",
       "0        Dallas TX  \n",
       "2        Boston MA  \n",
       "3   Los Angeles CA  \n",
       "4   Los Angeles CA  \n",
       "5   Los Angeles CA  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#State-leri getirir ZIP kodlarsiz\n",
    "def get_city(x):\n",
    "    return x.split(',')[1]\n",
    "\n",
    "def get_state(x):\n",
    "    return x.split(',')[2].split(' ')[1]\n",
    "\n",
    "df['Cities'] = df['Purchase Address'].apply(lambda x: get_city(x) + ' '+ get_state(x))\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
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       "      <th>Cities</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/19/19 08:46</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>4</td>\n",
       "      <td>23.90</td>\n",
       "      <td>Dallas (TX)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>04/07/19 22:30</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "      <td>4</td>\n",
       "      <td>99.99</td>\n",
       "      <td>Boston (MA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Los Angeles (CA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/12/19 14:38</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles (CA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/30/19 09:27</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles (CA)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                     Product  Quantity Ordered  Price Each  \\\n",
       "0   176558        USB-C Charging Cable                 2       11.95   \n",
       "2   176559  Bose SoundSport Headphones                 1       99.99   \n",
       "3   176560                Google Phone                 1      600.00   \n",
       "4   176560            Wired Headphones                 1       11.99   \n",
       "5   176561            Wired Headphones                 1       11.99   \n",
       "\n",
       "       Order Date                      Purchase Address  Month   Sales  \\\n",
       "0  04/19/19 08:46          917 1st St, Dallas, TX 75001      4   23.90   \n",
       "2  04/07/19 22:30     682 Chestnut St, Boston, MA 02215      4   99.99   \n",
       "3  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4  600.00   \n",
       "4  04/12/19 14:38  669 Spruce St, Los Angeles, CA 90001      4   11.99   \n",
       "5  04/30/19 09:27     333 8th St, Los Angeles, CA 90001      4   11.99   \n",
       "\n",
       "              Cities  \n",
       "0        Dallas (TX)  \n",
       "2        Boston (MA)  \n",
       "3   Los Angeles (CA)  \n",
       "4   Los Angeles (CA)  \n",
       "5   Los Angeles (CA)  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_city(x):\n",
    "    return x.split(',')[1]\n",
    "\n",
    "def get_state(x):\n",
    "    return x.split(',')[2].split(' ')[1]\n",
    "\n",
    "df['Cities'] = df['Purchase Address'].apply(lambda x: f'{get_city(x)} ({get_state(x)})')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Month</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cities</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Atlanta (GA)</th>\n",
       "      <td>16602</td>\n",
       "      <td>2.779908e+06</td>\n",
       "      <td>104794</td>\n",
       "      <td>2.795499e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austin (TX)</th>\n",
       "      <td>11153</td>\n",
       "      <td>1.809874e+06</td>\n",
       "      <td>69829</td>\n",
       "      <td>1.819582e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Boston (MA)</th>\n",
       "      <td>22528</td>\n",
       "      <td>3.637410e+06</td>\n",
       "      <td>141112</td>\n",
       "      <td>3.661642e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dallas (TX)</th>\n",
       "      <td>16730</td>\n",
       "      <td>2.752628e+06</td>\n",
       "      <td>104620</td>\n",
       "      <td>2.767975e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Los Angeles (CA)</th>\n",
       "      <td>33289</td>\n",
       "      <td>5.421435e+06</td>\n",
       "      <td>208325</td>\n",
       "      <td>5.452571e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York City (NY)</th>\n",
       "      <td>27932</td>\n",
       "      <td>4.635371e+06</td>\n",
       "      <td>175741</td>\n",
       "      <td>4.664317e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portland (ME)</th>\n",
       "      <td>2750</td>\n",
       "      <td>4.471893e+05</td>\n",
       "      <td>17144</td>\n",
       "      <td>4.497583e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portland (OR)</th>\n",
       "      <td>11303</td>\n",
       "      <td>1.860558e+06</td>\n",
       "      <td>70621</td>\n",
       "      <td>1.870732e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Francisco (CA)</th>\n",
       "      <td>50239</td>\n",
       "      <td>8.211462e+06</td>\n",
       "      <td>315520</td>\n",
       "      <td>8.262204e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seattle (WA)</th>\n",
       "      <td>16553</td>\n",
       "      <td>2.733296e+06</td>\n",
       "      <td>104941</td>\n",
       "      <td>2.747755e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Quantity Ordered    Price Each   Month         Sales\n",
       "Cities                                                                   \n",
       " Atlanta (GA)                   16602  2.779908e+06  104794  2.795499e+06\n",
       " Austin (TX)                    11153  1.809874e+06   69829  1.819582e+06\n",
       " Boston (MA)                    22528  3.637410e+06  141112  3.661642e+06\n",
       " Dallas (TX)                    16730  2.752628e+06  104620  2.767975e+06\n",
       " Los Angeles (CA)               33289  5.421435e+06  208325  5.452571e+06\n",
       " New York City (NY)             27932  4.635371e+06  175741  4.664317e+06\n",
       " Portland (ME)                   2750  4.471893e+05   17144  4.497583e+05\n",
       " Portland (OR)                  11303  1.860558e+06   70621  1.870732e+06\n",
       " San Francisco (CA)             50239  8.211462e+06  315520  8.262204e+06\n",
       " Seattle (WA)                   16553  2.733296e+06  104941  2.747755e+06"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resultsbycities= df.groupby('Cities').sum()\n",
    "resultsbycities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "cities = df['Cities'].unique()\n",
    "\n",
    "plt.bar(cities, resultsbycities['Sales'],color='purple')\n",
    "plt.xticks(cities, rotation ='vertical', size=8)\n",
    "plt.xlabel('Months')\n",
    "plt.ylabel('City Name')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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": [
    "cities = [city for city, df2 in df.groupby('Cities') ]\n",
    "\n",
    "plt.bar(cities, resultsbycities['Sales'],color='blue')\n",
    "plt.xticks(cities, rotation ='vertical', size=8)\n",
    "plt.xlabel('Months')\n",
    "plt.ylabel('City Name')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "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>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Cities</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>2019-04-19 08:46:00</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>4</td>\n",
       "      <td>23.90</td>\n",
       "      <td>Dallas (TX)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>2019-04-07 22:30:00</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "      <td>4</td>\n",
       "      <td>99.99</td>\n",
       "      <td>Boston (MA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>2019-04-12 14:38:00</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Los Angeles (CA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>2019-04-12 14:38:00</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles (CA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>2019-04-30 09:27:00</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles (CA)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                     Product  Quantity Ordered  Price Each  \\\n",
       "0   176558        USB-C Charging Cable                 2       11.95   \n",
       "2   176559  Bose SoundSport Headphones                 1       99.99   \n",
       "3   176560                Google Phone                 1      600.00   \n",
       "4   176560            Wired Headphones                 1       11.99   \n",
       "5   176561            Wired Headphones                 1       11.99   \n",
       "\n",
       "           Order Date                      Purchase Address  Month   Sales  \\\n",
       "0 2019-04-19 08:46:00          917 1st St, Dallas, TX 75001      4   23.90   \n",
       "2 2019-04-07 22:30:00     682 Chestnut St, Boston, MA 02215      4   99.99   \n",
       "3 2019-04-12 14:38:00  669 Spruce St, Los Angeles, CA 90001      4  600.00   \n",
       "4 2019-04-12 14:38:00  669 Spruce St, Los Angeles, CA 90001      4   11.99   \n",
       "5 2019-04-30 09:27:00     333 8th St, Los Angeles, CA 90001      4   11.99   \n",
       "\n",
       "              Cities  \n",
       "0        Dallas (TX)  \n",
       "2        Boston (MA)  \n",
       "3   Los Angeles (CA)  \n",
       "4   Los Angeles (CA)  \n",
       "5   Los Angeles (CA)  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Order Date']= pd.to_datetime(df['Order Date'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Cities</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Date</th>\n",
       "      <th>Day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>176558</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>2019-04-19 08:46:00</td>\n",
       "      <td>917 1st St, Dallas, TX 75001</td>\n",
       "      <td>4</td>\n",
       "      <td>23.90</td>\n",
       "      <td>Dallas (TX)</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-04-19</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>176559</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>2019-04-07 22:30:00</td>\n",
       "      <td>682 Chestnut St, Boston, MA 02215</td>\n",
       "      <td>4</td>\n",
       "      <td>99.99</td>\n",
       "      <td>Boston (MA)</td>\n",
       "      <td>22</td>\n",
       "      <td>2019-04-07</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>2019-04-12 14:38:00</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Los Angeles (CA)</td>\n",
       "      <td>14</td>\n",
       "      <td>2019-04-12</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>2019-04-12 14:38:00</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles (CA)</td>\n",
       "      <td>14</td>\n",
       "      <td>2019-04-12</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>176561</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>2019-04-30 09:27:00</td>\n",
       "      <td>333 8th St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles (CA)</td>\n",
       "      <td>9</td>\n",
       "      <td>2019-04-30</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                     Product  Quantity Ordered  Price Each  \\\n",
       "0   176558        USB-C Charging Cable                 2       11.95   \n",
       "2   176559  Bose SoundSport Headphones                 1       99.99   \n",
       "3   176560                Google Phone                 1      600.00   \n",
       "4   176560            Wired Headphones                 1       11.99   \n",
       "5   176561            Wired Headphones                 1       11.99   \n",
       "\n",
       "           Order Date                      Purchase Address  Month   Sales  \\\n",
       "0 2019-04-19 08:46:00          917 1st St, Dallas, TX 75001      4   23.90   \n",
       "2 2019-04-07 22:30:00     682 Chestnut St, Boston, MA 02215      4   99.99   \n",
       "3 2019-04-12 14:38:00  669 Spruce St, Los Angeles, CA 90001      4  600.00   \n",
       "4 2019-04-12 14:38:00  669 Spruce St, Los Angeles, CA 90001      4   11.99   \n",
       "5 2019-04-30 09:27:00     333 8th St, Los Angeles, CA 90001      4   11.99   \n",
       "\n",
       "              Cities  Hour        Date  Day  \n",
       "0        Dallas (TX)     8  2019-04-19   19  \n",
       "2        Boston (MA)    22  2019-04-07    7  \n",
       "3   Los Angeles (CA)    14  2019-04-12   12  \n",
       "4   Los Angeles (CA)    14  2019-04-12   12  \n",
       "5   Los Angeles (CA)     9  2019-04-30   30  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Hour'] = df['Order Date'].dt.hour\n",
    "df['Day'] = df['Order Date'].dt.day\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1KXXxv8JS4Sksj08PTmGZMP1pTpj6AavT2xIZXcZf229l+dirXL+TY6C0a9+etol57M2JZO6CeW6n4xdWVIypgxcz9iPAgKb5bqcScPeMGs3w1p7C8tTOwBaW7du2cdaU55mytT3790ZwbOouVt3wB+68flTA+gwV/ct3IgovZBweN6+1omJMHWwoSKJJbAW3X3eD26kERTAKyx2TJ3P6C9+wYVcSsYklPHB0Lm+NHRHyg0T6yxlpJxIZV8GGvKTD4mJIKyrGeOneKVMoLxR+F3143ODKW4EqLD9v20LfSfOYl96V8gPCaa238u0tgxgy+C9+ef2G5PdR6VQUw10zG/7QLVZUjPHSBxVJqMCIrq3cTiXofl1YOtSrsKSn7+SaiVO5f3My6RmxJKcUMvu0pswZd/jv6qrOrX2ORsPh4/I2bqdSbxFuJ2BMQ5CevpNdOXHEtCzhogGXuJ2OK+4ZNRqeepJZGV14amcHmD6NW0fWvhuwID+Px194gS81hm37EyjObwLlnQiLhoGtNzBp3LggZB/a+vY+mVafvsqe7Cg+W/kpfXuf7HZKPrOiYowX7nnldSjtTFrELrdTcdU9o0ajU59k9u5fCsuJ3Y/6VZvioiKefHEOn5REsvVAInvzm8EBz31mwqIgqVUh3SWbi9u04tLLrKAc9IfwXbxR3pXHP1/H61ZUjDm8fVneBpoI9110rtupuO7eG0dDpcIypHAVP27bzNLcMjaVJ5KX3xxKPDc6kWaQmFBE17AczktqztArr/7f66xYscKlNQhND197LW9NWMF3xalup1IvASsqIjIbuADIVNXfO8sSgVeAjsBW4DJVzRURASYD5wPFwDWq+pUTMwS423nZv6vqHGd5GvA80Bx4Bxirqhqo9TGN15Kl75GX3YzWyXsbzJ0dA61yYXk+qwdy8NyFJkJc/D46ReRwenQFIwf/pcHdZ8YtUdHRdIvPYv2uJB55Zirjr7vR7ZR8EshvKs8DU4EXKi27A1imqo+KyB3O49uB84BuztQbeBro7RSh+4BegAKrRWSRquY6bUYCn+MpKucC7wZwfUwj9cz325GKNpwuGW6nElLuvXE08tSTLCpNISmskD7hRdwydJgVkXq4JrU5d6TD4v2JjHc7GR8F7OwvVf0YyDlk8UBgjjM/B7i40vIX1ONzIF5EUoFzgKWqmuMUkqXAuc5zsar6mfPt5IVKr2WMX31fnEJYNNx37bVupxJy7hk1msePT+adscO498bRVlDqafCllxOTWMrOnPgGex/7YJ9SnKKq6QDOz2RneVtge6V2O5xlNS3fUcVyY/xq8szplOSH0yV2j31gmqDoFeEZZPKe1xe5nYpPJJCHIUSkI7C40jGVPFWNr/R8rqomiMjbwCOq+omzfBlwG9AfaKqqf3eW34PnmMvHTvszneWnArep6oXV5DESz64yUlJS0ubPn+/T+hQWFtKiRYuQjAlmX41pnR5Yu53N6Ync0Ho9vY87wZXcgtmXrZPvMf7qq6AgjzGrIomOKeGpExMC1k9d9evXb7Wq9qq1oaoGbMJzQP67So/XA6nOfCqw3pl/Fhh8aDtgMPBspeXPOstSgR8rLf9Vu5qmtLQ09dXy5ctDNiaYfTWWdSoqLNSO9y/WIx99M6D9BCoulGOC2VdDXKdTJs3V9ncs1hfmvRTQfuoCWKVefMYGe/fXImCIMz8EeKvS8qvFow+Qr57dY0uAs0UkQUQSgLOBJc5ze0Wkj3Pm2NWVXssYv7hzxgx0H/RsZgfoTXBd0DTPM8hk5gG3U6mzgBUVEZkHfAYcKSI7RGQ48ChwlohsAM5yHoPn7K3NwEZgBnADgKrmAA8BXzrTg84ygOuBmU7MJuzML+Nnn2gbNBz+1uf3bqdiGpnbr7uByLhyNjXAQSYDdkqxqg6u5qkzqmirQJUD/6jqbGB2FctXAfZuNwFx8JbBiS330bf3ALfTMY1Qz6gMVqe35c4ZM5k0ruHcoMwGlDSmCv/88DMog77SuIdlMe65pc/REA4fVzSsQSatqBhThTWlbZCm8MBfqvvCbUxg9e19Mq1aFZG9J4pP/vOR2+l4zYqKMYeY9+orFOU24YjEPJKSktxOxzRip8kupAImfPWT26l4rdaiIiLRIhLmzHcXkYtEpEngUzPGHS+kFyMK50XmuZ2KaeQeGjGCsGhYV9za7VS85s03lY+BZiLSFlgGDMUzrpcxh6WDtwxuDPdHN6EtKjqabnFZlOaH8Y+nn3I7Ha94U1REVYuBQcCTqnoJcFQtMcY0SPc9OYWyQqF7I7tlsAld16Q2RwUWl1R9dX2o8aqoiEhf4ErgbWeZ3YfFHJaWVrRCBa7t1NLtVIwBfhlkcld2wxhk0puiMhYYD7yhqutEpDOwPLBpGRN86ek72ZUdT0xiKZdcZINem9BxUpMdcEC5qwEMMlljURGRcOBCVb1IVR8DUNXNqjomKNkZE0T3zn8dSpXjm9i1KSa0PHz5IGgqrD5whNup1KrGoqKq5UBakHIxxlVfVHhuGXzP+f3dTsWYX0lNbUu7xFwKs5swZ95LbqdTI292f60RkUUicpWIDDo4BTwzY4Jo05ZN5GU3I7nlXrp37+F2Osb8xsCoAgR4MbPc7VRq5E1RSQSy8dzb5EJnuiCQSRkTbIsLypEKOE3S3U7FmCrdMuJ6msaVszmvFSX79rudTrVqPYtLVYcGIxFj3PT9vtaERcED145wOxVjqtUzKp1V+Uew6PvvOee8c91Op0reXFHfXUSWich3zuNjROTuwKdmTHA8OWsGJXnhdI63Wwab0HbHycdCOPxX2rudSrW82f01A88pxQcAVPUb4IpAJmVMML1R1AyAP8WH9r5qY3r16kNiy2Jys5vz008/uJ1OlbwpKlGq+sUhy8oCkYwxbtian0jT+HKuu3qY26kYU6vjwjKgHP75zgdup1Ilb4rKHhHpAiiAiPwJsKOZ5rDw8LSpVBRBt+ZZbqdijFduPvt0CIevNcXtVKrkTVEZBTwL/E5EdgLj8NzK15gGb1lZHAD9wva6nIkx3jn6qJ7EJpawJ7cFWVmh989QrUXFuYL+TCAJ+J2qnqKqWwOemTFB8HNBApFxFaT1PM7tVIzx2tHhGVCqPDz3ZbdT+Y1qTykWkb9VsxwAVf1XgHIyJigmzXyW8sIj6NYmC4hxOx1jvHZmXFP+uxtWkux2Kr9R03UqB99lRwInAgdHMrsQzz1WjGnQ3ilqCsAFLeysL9OwdOnUheisPDLyYikuKgqpU+Gr3f2lqg+o6gNAK+AEVb1ZVW/GMxZY6I9qZkwtthS1JCJGuXHYtW6nYkydHdk0C90Pj8ye5XYqv+LNgfr2QGmlx6VAx4BkY0yQTH/hOQ4UhNGxRbbbqRjjkyvaxaHAfyoS3U7lV7wpKi8CX4jI/SJyH7ASmBPYtIwJrDfzFIBzmhe5nIkxvrl80GU0iytne0G826n8ijdnfz2M5770uUAeMFRVH6lPpyJyk4isE5HvRGSeiDQTkU4islJENojIKyIS6bRt6jze6DzfsdLrjHeWrxeRc+qTk2lcNhW1IryFcuvIG9xOxRifdYnKprxImDD9abdT+Z/abtIVJiLfqepXqjrZmdbUp0MRaQuMAXqp6u+BcDzDvjwGTFTVbngK2HAnZDiQq6pdgYlOO0TkKCfuaOBcYJpzUzFjajR3wTz254fTPibX7VSMqZfzYzwnmby/v7nLmfyitpt0VQBrRfw+elkE0FxEIoAoPFfo9wcWOs/PAQ7ez3Ugv+xuWwicIZ7zmgcC81W1RFW3ABuBk/ycpzkMvZJRhAD9wvPcTsWYerlx2LVExChbilq6ncr/eHNMJRVY54xUvOjg5GuHqroTeALYhqeY5AOrgTxVPTim2A6grTPfFtjuxJY57VtWXl5FjDHV+mlfEmFRcMtQG+vLNHztY3IpzQ/jxflz3U4FAFHVmhuInFbVclX9yKcORRKA14DL8RyjedV5fJ+ziwsRaQe8o6o9RWQdcI6q7nCe24TnG8mDwGeq+pKzfJYT81oVfY4ERgKkpKSkzZ8/35fUKSwspEWLFiEZE8y+GvI6fb9+HY9t7Uj71nk8dGxbr2KClVso9GXr5HtMMPuqHLN09ZfMzTqKnqnp3HxsV7/2U1m/fv1Wq2qvWhuqaq0TkILnbo8XAMnexNTwWpcCsyo9vhp4GtgDRDjL+gJLnPklQF9nPsJpJ3iG4x9f6XX+166mKS0tTX21fPnykI0JZl8NeZ0GTXpWO9y+WO+YPCmg/fgzJph92Tr5HhPMvirHFBUWaqcHFuuRj77p934qA1apF5/x3tyk6zLgC6cYXAasdEYq9tU2oI+IRDnHRs4AvgeWAwdfdwjwljO/yHmM8/yHzgouAq5wzg7rBHRz8jSmWj+UJCPN4J7hdsGjOTxERUfTJi6ffXkRvLPkbbfTqf12wsBdwImqmgkgIknAB/xyUL1OVHWliCwEvsJzX5Y1wHTgbWC+iPzdWXbwMtFZwIsishHIwblBmKquE5EFeApSGTBKVW28DVOtDz/8gKLcJrRNKQipYS2Mqa8+msUOjWPOD9s53+WLK7wpKmEHC4ojG+8O8FdLVe8D7jtk8WaqOHtLVffj+ZZU1es8DDxcn1xM4/HstxsRbUdvyay9sTENyL1Dh7DwX5+yrsz9e6x4UxzeE5ElInKNiFyD5xvFO4FNyxj/W3cgBZrCA9cMqb2xMQ1IbFw8yQmF7M2JZM2a1a7m4s0V9bfiuUnXMcCxwHRVvT3QiRnjT6tWfc7enEhS4guJjQutYS2M8Yc0diMVMOmjz13Nw6vdWKr6uqr+TVVvUtU3Ap2UMf428ZOvkAroRYbbqRgTEHcOuhgihG8q3N0FVq9jI8Y0FN+Vp0AT4e4r6nPiojGhq1379iQkFpObE8X2bdtcy8OKijnsrfv+W/JzmtEqsZDUVBt0wRy+jgnbDWXKP15/07Ucqi0qIrLM+flY8NIxxv8eX/IRlMPx7HY7FWMCatxpfdAwWI17u8Bq+qaS6gzRcpGIHC8iJ1SegpWgMfW1VltDBIwfeL7bqRgTUMcfn0ZMYimZuS0oyHdnwNSaisq9wB14bh38L2BCpemJwKdmTP1t37aN3JwoEhL30blzF7fTMSbgjorIhBJ46PnnXem/2osfVXUhsFBE7lHVh4KYkzF+8/fX3oSyLhwbZmd9mcbhmh5HsHI3fEayK/17c53KQyJykYg84UwXBCMxY/xhNa3RcLip/8lup2JMUJx/zgCax5exKz+O4qLg3y7bmwElHwHG4hlj63tgrLPMmJCWlZXFntwWxCWWcOwxx7udjjFB061ZFhXFMOH52UHv25tTigcAZ6nqbFWdjefWvQMCm5Yx9ffg3JehVOkZbru+TOPyp+RmACwviwt6395ep1J5XIvgZ2mMD74kBQ2DG/se63YqxgTVkMF/ITKugm2FiUHv25ui8giwRkSeF5E5eG79+4/ApmVM/RTk55GRG0NMQil9e9vxFNP4dIrOpmyvMHX2zKD2682B+nlAH+B1Z+qrqr7dj9eYIHnwuTlQAkc3sQseTeN0drN9ALyzNzyo/Xo7oGS6qi5S1bdU1XZQm5D3X0lCBYYd3dHtVIxxxc0jryc8Wtm0r2VQ+7Wxv8xhp2TfftLz4ohOOMA5Z53rdjrGuKZdbB7788J55fUFQevTioo57Hyw7lt0H/yuqd3h0TRup4blIMD87flB67PGoiIiYSLyXbCSMcYfVjZpgwpc1cmdK4qNCRXjhw1HmsH6kqSg9VljUVHVCmCtiLQPUj7G1NuOgniax5dxyUUXu52KMa6Kio6mdXwBRblN2LRlU1D69Gb3VyqwTkSWiciig1OgEzPGFw9Pm0pFEXRrtsftVIwJCb3JRBQ+yCsJSn/VDihZyQMBz8IYP1lWFocCl6U0czsVY0LCXVf+mTef/JJ1Fa2D0p8316l8BGwFmjjzXwJfBTgvY3zyc0ECTeMquOqKK91OxZiQkJSURKuEQgpymrLu+28D3p83A0qOABYCzzqL2gLu3avSmGo8PG0q5YVC1+gst1MxJqScIrvokJzL7ozAXwzszTGVUcDJQAGAqm6A+g3ULyLxIrJQRH4UkR9EpK+IJIr8Jc2PAAActElEQVTIUhHZ4PxMcNqKiEwRkY0i8k3lu06KyBCn/QYRGVKfnEzDt+RAAipwVnih26kYE1ImjRvHA8ceQf/+Zwa8L2+KSomqlh58ICIRgNaz38nAe6r6O+BY4Ac8d5lcpqrdgGXOY4DzgG7ONBJ42skjEbgP6A2cBNx3sBCZxqcgP4/tufFEJZRx/NHHuJ2OMY2WN0XlIxG5E2guImcBrwL/9rVDEYkF/gDMAlDVUlXNAwYCc5xmc4CD54MOBF5Qj8+BeBFJBc4BlqpqjqrmAkvxDMtvGqF7npuD7odjmqa7nYoxjZqo1vylQ0TCgOHA2YAAS4CZWltg9a93HDAdzw2/jsUz6vFYYKeqxldql6uqCSKyGHhUVT9xli8DbgdOB5qp6t+d5fcA+1T1iSr6HInnWw4pKSlp8+f7Nh5mYWEhLVq0CMmYYPYViut0y5pMsvZE8/Dv9hCf0DJk18n+tsHvy9bJ95jK+vXrt1pVe9XaUFVrnYBI4BigJxDpTUwNr9ULKAN6O48nAw8BeYe0y3V+vg2cUmn5MiANuBW4u9Lye4Cba+s/LS1NfbV8+fKQjQlmX6G2Tt+t+0Y73LVYj5vwqs99hXJMMPuydfI9Jph9BXOdDgJWqRef8d6c/TUA2ARMAaYCG0XkPO9qW5V2ADtUdaXzeCFwArDb2a2F8zOzUvt2leKPAHbVsNw0Mo++/zGUwUlif35j3ObNMZUJQD9VPV1VTwP6ARN97VA9Q+dvF5EjnUVn4NkVtgg4eAbXEOAtZ34RcLVzFlgfIF9V0/HshjtbRBKcA/RnO8tMI7OmrA1ECvdf8Ue3UzGm0fPmivpMVd1Y6fFmfvkW4avRwFwRiXRebyieArdARIYD24BLnbbvAOcDG4Fipy2qmiMiD+G5GBPgQVXNqWdepoFZ/N5i9mZH0iYln9TUtm6nY0yjV21REZFBzuw6EXkHWIDnVOJL+eWD3Ceq+jWeYyuHOqOKtornWpmqXmc2MLs+uZiGbeb6dETb0C/MLng0JhTU9E3lwkrzu4HTnPkswK4HMSHh++IUwqLh7uHD3U7FGEMNRUVVhwYzEWPq6slZMyjNb0PXNnuIio52Ox1jDF4cUxGRTniOgXSs3F5VLwpcWsbU7s3CpgAMiilzORNjzEHeHKh/E8/V7/8GKgKbjjHeKS4qYktBS5rGl3PDUNv1ZUyo8Kao7FfVKQHPxJg6eGjWTCqKutIjNfCjrhpjvOdNUZksIvcB7wP/u3WYqto9VYxrVlQkowIjf9fG7VSMMZV4U1R6AlcB/fll95c6j40JuvT0naTnxBHbcj/nnzOo9gBjTNB4U1QuATprpeHvjXHTvfNfh9LOHB9hw7IYE2q8GaZlLRBfaytjguTLijYQIdx9/m+ulTXGuMybbyopwI8i8iW/PqZipxSboPts5afkZjcjOamQ7t17uJ2OMeYQ3hSV+wKehTFemvTZt0hFO04WuxmXMaGo1qKiqh8FIxFjvPFNaSrSDB4cOqT2xsaYoPPmivq9/HJP+kigCVCkqrGBTMyYQ704fy7FOfF0SM0jNs4O8xkTirz5phJT+bGIXAycFLCMjKnGy5mlCHBuZJ7bqRhjquHN2V+/oqpvYteoGBds2JtERIxy5/VV3gnBGBMCvNn9VfnqsjA890HRapobExAPT5tK2d5OHNXGhmUxJpR5c/ZX5fuqlAFbgYEBycaYaiw5kIAKXJVqQ9wbE8q8OaZi91UxrirIz2N7bjxRCWUMvvRyt9MxxtSgptsJ31tDnKrqQwHIx5jfuPu5Oej+rhyTYNemGBPqavqmUlTFsmhgONASsKJiguK/moqGw60nH+d2KsaYWtR0O+EJB+dFJAYYCwwF5gMTqoszxp92797Jnux4Elruo1evPm6nY4ypRY2nFItIooj8HfgGTwE6QVVvV9XMoGRnGr1/78qDMugtNiKxMQ1BTcdUHgcGAdOBnqpaGLSsjHF8Xd4GIoX7r/ij26kYY7xQ0zeVm4E2wN3ALhEpcKa9IlJQ345FJFxE1ojIYudxJxFZKSIbROQVEYl0ljd1Hm90nu9Y6TXGO8vXi8g59c3JhJbF7y1mb3YkqYn5pKa2dTsdY4wXqi0qqhqmqs1VNUZVYytNMX4a92ss8EOlx48BE1W1G5CL54QAnJ+5qtoVmOi0Q0SOAq4AjgbOBaaJSLgf8jIhYsb6dEShX1iW26kYY7xU52Fa/EFEjgAGADOdx4Jn6JeFTpM5wMXO/EDnMc7zZzjtBwLzVbVEVbcAG7ExyQ4rPxSnEBYNdw8fXntjY0xIcKWoAJOA2/jlnvctgTxVLXMe7wAO7u9oC2wHcJ7Pd9r/b3kVMaaBe2LG05Tmh9M5dg9R0XYVvTENhagGdxgvEbkAOF9VbxCR04Fb8Jyq/JmziwsRaQe8o6o9RWQdcI6q7nCe24TnG8mDTsxLzvJZTsxrVfQ5EhgJkJKSkjZ//vw65/3RmlXsL6vgnBPr9mWosLCQFi1aBDwmmH0FI2bc6mxys5sxKvkHTjquV8jlF8yYYPZl6+R7TDD7CuY6HdSvX7/Vqlr7m1FVgzoBj+D5VrEVyACKgbnAHiDCadMXWOLMLwH6OvMRTjsBxgPjK73u/9rVNKWlpWldZWZmasf7Fmv3f7ylRYWFdYpdvnx5nfvzJSaYfQU65t4pk7X97Yv1lEkvhWR+wY4JZl+2Tr7HBLOvYK7TQcAq9eIzPui7v1R1vKoeoaod8Rxo/1BVrwSWA39ymg0B3nLmFzmPcZ7/0FnBRcAVztlhnYBuwBeByDkpKYmjEzIoyQ9n3IzZgejCVLJwf3skAsb/zm7EZUxD49YxlarcDvxNRDbiOWYyy1k+C2jpLP8bcAeAqq4DFgDfA+8Bo1S1PFDJTbnwdKQZfFjUkeKiqkawMf4wbtIkirKb0DVpD+efM8DtdIwxdeRqUVHVFap6gTO/WVVPUtWuqnqpqpY4y/c7j7s6z2+uFP+wqnZR1SNV9d1A5tq5cxeOj99B2d4wrp/xfCC7arSKi4p4d19niBQePflIt9MxxvgglL6phLxrOqcQFgWf7O1AQb7d0tbfxsyYTUl+OD1bpts4X8Y0UFZU6iA2Np7esdsoLxJGPjfP7XQOKwX5eawo7IQ0h8kXnu52OsYYH1lRqaNnhw4mvIXyRUF70tN3up3OYeOvz82jrFA4KX47nTt3cTsdY4yPrKjUUWxcPKe22EpFMYxa8Lbb6RwWtm/bxsr89oS3UGZcc4Xb6Rhj6sGKig+mjRhKk9gK1uS25aeffqg9wNRo9BtLqNgHp0ZvJTbOTiM2piGzouKDqOho+jffgu6Hm979r9vpNGhrv1nD1zltiIyrYNrIoW6nY4ypJysqPpo4cjhN48tZl53KmjWr3U6nwbptxVoogXObb7Yxvow5DFhR8VFUdDTnNtsCpcod//nW7XQapCVL32N9ZjLNE8uYMm6s2+kYY/zAiko9TB43luaJZazPSmbFR8vcTqfBefj7bChT/tjsZ7dTMcb4iRWVehrYdCscUB742u6hXhfzXn2FnzPjiUvaz9/HjHE7HWOMn1hRqadHx46lRatStmQlsvi9xW6n02BM3qlQAVfFZrqdijHGj6yo+MFlzXagZfDY+ny3U2kQnpw1g/TdMSQlF3HLiOvdTscY40dWVPzg3htHE5+0n22745m7wIZvqc3s/AQQGJW83+1UjDF+ZkXFT66KzQSFJ3eJ26mEtAenPklOZnPapuQz9Mqr3U7HGONnVlT85JYR19MqqZj03TFMf+E5t9MJWQv2HYFEwB1d7ZoUYw5HVlT8aESrvQBMz7YPzKrcMmkyhdmRdE7K5qIBA91OxxgTAFZU/Oi6q4fROqWQrMxoJkx/2u10QkrJvv38e38niBQe7mOjEBtzuLKi4mdj2lSAwIuFSW6nElJe/eFHSvLCObplBn17n+x2OsaYALGi4mdXXjaYdin55GY256GnnnQ7nZBQXFTEin1dkWYw8by+bqdjjAkgKyoBcFvXaCQcFuxr63YqIWHozBco2yukJeyge/cebqdjjAkgKyoBcNGAgXRMzmHvnqa8vepLt9Nx1Zx5L7FyTweaxFbw9J8HuZ2OMSbArKgEyL09U6GJsLi8O8VFRW6n44rioiIe3RaDliuDm/1IUpIdZzLmcGdFJUD69z+To1plsC83gitmNc6r7C+bOZ99uREck5JO/xNOdDsdY0wQWFEJoPnXDKJ5YhlrM1J5cGrjOmj/yDNT+XZ3a5onlvHKtYPdTscYEyRBLyoi0k5ElovIDyKyTkTGOssTRWSpiGxwfiY4y0VEpojIRhH5RkROqPRaQ5z2G0RkSLDXpTaxcfHcELMNiRDm5HZuNHeI3L5tG7OyOyDhwp3tC+2OjsY0Im58UykDblbVHkAfYJSIHAXcASxT1W7AMucxwHlAN2caCTwNniIE3Af0Bk4C7jtYiEJJzx49OS9xI2VFMGLFJrfTCYq/vPExZXvDOLXlFq664kq30zHGBFHQi4qqpqvqV878XuAHoC0wEJjjNJsDXOzMDwReUI/PgXgRSQXOAZaqao6q5gJLgXODuCpee3rcGNqn5rFndzRXTprmdjoBdcukyWxNTyAheR8vjhvldjrGmCBz9ZiKiHQEjgdWAimqmg6ewgMkO83aAtsrhe1wllW3PCS9fMmpNImt4NM9HZg6e6bb6QTEZys/5fX8roQ1gwnHxbudjjHGBaKq7nQs0gL4CHhYVV8XkTxVja/0fK6qJojI28AjqvqJs3wZcBvQH2iqqn93lt8DFKvqhCr6Goln1xkpKSlp8+fP9ynnwsJCWrRo4XPMJ1+vYuaeHkRGV/DY7w6QkJDot378kV99Y25Zk0nW7mgGJK3nsrQTvIoJZn4NNSaYfdk6+R4TzL6CuU4H9evXb7Wq9qq1oaoGfQKaAEuAv1Vath5IdeZTgfXO/LPA4EPbAYOBZyst/1W76qa0tDT11fLly+sdM3jSNO1w+2I9ddJLfu3H1zh/xQydOEU73L5Y/2/iXL/142vc4RYTzL5snXyPCWZfwVyng4BV6sXnuxtnfwkwC/hBVf9V6alFwMEzuIYAb1VafrVzFlgfIF89u8eWAGeLSIJzgP5sZ1lIe3ns9bRMLubn9HhumDTF7XT8YuEbC/kwpwvhLZTnzj/e7XSMMS5y45jKycBVQH8R+dqZzgceBc4SkQ3AWc5jgHeAzcBGYAZwA4Cq5gAPAV8604POspD37B/aER4N7+R2ZeEbC91Op16Ki4q4f2M4ekC5On6Lje1lTCMXEewO1XNspLp77p5RRXsFqjyNSFVnA7P9l11w9OrVh6s+m8Lz6V24d0MEZ+fnERvXMA9s/2XmXAqz29IjNYv7bhztdjrGGJfZFfUueWD0GHqmZFCc04Qrnn/D7XR8MnnmdL7KbEvT+HIWXHNx7QHGmMOeFRUXLbj2Clq0LGVdRjJ3TmlYx1eysrJ4KisVBMamZDXYb1rGGP+youKiqOhoHu3ZhLBImJ/XhU/+85HbKXntzy+/Q2l+GL1bbeeGocPdTscYEyKsqLjsgnMv4MKEjZQXw+gvs9xOxytvr/qSnzJaEduqhOdGXOV2OsaYEGJFJQRMGTeWTqk55GY25/JJz7idTo3WfrOG1/cdhUQKf+8RboNFGmN+xYpKiJh3WX+axpWzMqsdK9aE5t0in5v7Alcu2Up5EZydsImLBgx0OyVjTIixohIiUlPbcnPbbBDhpeIeITU+2Npv1tB/8gvcv64le3MjObJNFtPH2enDxpjfsqISQkZePZT+rTZxoEh4fEMqJ05cwPQXnnMtn+KiIq6cNI2LX9/F5vSWxCaWcEuXXYw/pqNrORljQpsVlRAze9xoRrXeQEpKIZmZ0Tz8QzK9J73CnHkvBTWPe6dM4fgnl/FpRgfCIpQBKRv59pZBjB4+Iqh5GGMalqBfUW9qd9Ixx3Hb6acz7blZzM6LIWN3C+7NhGd2z2NM2zAGX3p5wPpe+MZCHttaQebuLkgT4Zg2u3j20vNITb0gYH0aYw4fVlRC2A1Dh3MDnivX5xQksCsjljsy4aldL3Nzpyguuch/V7Fv37aNv76xjO+zktFyaNO6gHt6xHL+Odf6rQ9jzOHPikoDMPbakYwFHp8+jbl7U9ieHsdNmTBxy1xuOzKOC86t37eIEROfZFlhZyqKkmmeWMZVMTu483q7a6Mxpu6sqDQgt468gVuBh6dN5ZV9bdiWHs+NWTBh/Yvc0zOVsLDf/jkL8vPYvnM7O3buJCcvn/x9RRSWlFBUUkZOWQVLSztQnNOZsCg4o/VmnhwxzK49Mcb4zIpKA3TXDTdyF3Dfk1N4raQdW9ITGZZZgkSWoMvfhgqBCkUrQH51Y88WzlRJBPwuNYtpF55K584DgrcSxpjDkhWVBuyB0WN4ALhzyhSWlKVSpmFESAVhUkGEM4VTQQQVNJEKIrSCJpTTBM98U8o5rhmMuc6uOTHG+IcVlcPAP8aM4R/AihUrOP300+sUu2LFikCkZIxppOw6FWOMMX5jRcUYY4zfWFExxhjjN1ZUjDHG+I0VFWOMMX5jRcUYY4zfWFExxhjjN1ZUjDHG+I2oau2tDiMikgX87GN4K2BPiMYEsy9bp+DGBLMvWyffY4LZVzDX6aAOqppUaytVtcnLCVgVqjGhnp+tk/0eGlJ+tk6+T7b7yxhjjN9YUTHGGOM3VlTqZnoIxwSzL1un4MYEsy9bJ99jgtlXMNepThrdgXpjjDGBY99UjDHG+I0VFS+IyLkisl5ENorIHV7GzBaRTBH5rg79tBOR5SLyg4isE5GxXsQ0E5EvRGStE/NAHfoLF5E1IrK4DjFbReRbEflaRFZ5GRMvIgtF5Edn3frW0v5I5/UPTgUiMs6Lfm5yfgfficg8EWnmRcxYp/26mvqo6u8pIokislRENjg/E7yIudTpq0JEennZz+PO7+4bEXlDROK9jHvIiflaRN4XkTa1xVR67hYRURFp5UU/94vIzkp/r/O96UdERjvvq3Ui8k8v1+mVSv1sFZGvvYg5TkQ+P7jNishJXsQcKyKfOdv6v0Uk9pCYKt+rNW0TNcRUu03UEFPjNlFDXI3bhF8E4xSzhjwB4cAmoDMQCawFjvIi7g/ACcB3degrFTjBmY8BfqqtL0CAFs58E2Al0MfL/v4GvAwsrkOOW4FWdfwdzgGudeYjgfg6/v4z8JwjX1O7tsAWoLnzeAFwTS0xvwe+A6Lw3LDuA6Cbt39P4J/AHc78HcBjXsT0AI4EVgC9vOznbCDCmX/s0H5qiIutND8GeMabbRRoByzBcz1XKy/6uR+4pS7vBaCf8/tu6jxOrut7CJgA3OtFX+8D5znz5wMrvIj5EjjNmR8GPHRITJXv1Zq2iRpiqt0maoipcZuoIa7GbcIfk31Tqd1JwEZV3ayqpcB8YGBtQar6MZBTl45UNV1Vv3Lm9wI/4PmwrClGVbXQedjEmWo9UCYiRwADgJl1ybGunP/w/gDMAlDVUlXNq8NLnAFsUlVvLliNAJqLSASeQrGrlvY9gM9VtVhVy4CPgEuqaljN33MgnoKJ8/Pi2mJU9QdVXV9dQtXEvO/kB/A5cISXcQWVHkZzyHZRwzY6Ebjt0Pa1xFSrmpjrgUdVtcRpk1mXvkREgMuAeV7EKHDwm0Ych2wX1cQcCXzszC8F/nhITHXv1Wq3iepiatomaoipcZuoIa7GbcIfrKjUri2wvdLjHdTyQe8PItIROB7PN4/a2oY7uwEygaWqWmsMMAnPB0dFHVNT4H0RWS0iI71o3xnIAp4Tz662mSISXYf+ruCQD44qk1LdCTwBbAPSgXxVfb+WsO+AP4hISxGJwvNfbLs65JaiqulO/+lAch1ifTUMeNfbxiLysIhsB64E7vWi/UXATlVdW8e8bnR2q8w+dDdgNboDp4rIShH5SEROrGN/pwK7VXWDF23HAY87v4cngPFexHwHXOTMX0oN28Uh71Wvtom6vL+9iKlxmzg0rq7bRF1ZUamdVLEsoKfMiUgL4DVg3CH/WVRJVctV9Tg8/62cJCK/r+X1LwAyVXW1D+mdrKonAOcBo0TkD7W0j8Cza+FpVT0eKMKzW6BWIhKJ5439qhdtE/D8l9gJaANEi8hfaopR1R/w7DpYCryHZ9dmWU0xbhKRu/DkN9fbGFW9S1XbOTE31vL6UcBd1P2D5mmgC3AcnoI+wYuYCCAB6APcCixwvn14azBe/LPhuB64yfk93ITzrbkWw/Bs36vx7D4qrapRXd+r/o6pbZuoKq4u24QvrKjUbge//i/lCGrfreIzEWmCZyOYq6qv1yXW2a20Aji3lqYnAxeJyFY8u/P6i8hLXvaxy/mZCbyBZ/dgTXYAOyp9e1qIp8h44zzgK1Xd7UXbM4EtqpqlqgeA14H/qy1IVWep6gmq+gc8u0C8+c/3oN0ikgrg/PzNLhx/EZEhwAXAlersEK+jlzlkF04VuuApymudbeMI4CsRaV1TkKrudv6xqQBmUPs2AZ7t4nVn9+0XeL4xt6olBgBn9+Yg4BVv2gND8GwP4PkHpdb8VPVHVT1bVdPwFK9NVeRR1Xu1xm3Cl/d3dTG1bRNe9OXNNlFnVlRq9yXQTUQ6Of85XwEsCkRHzn9qs4AfVPVfXsYkHTzzQ0Sa4/lw/bGmGFUdr6pHqGpHPOvzoarW+F+98/rRIhJzcB7PwcIaz25T1Qxgu4gc6Sw6A/i+tr4cdflvdBvQR0SinN/jGXj2I9dIRJKdn+3xfFB52x94toMhzvwQ4K06xHpNRM4FbgcuUtXiOsR1q/TwImrfLr5V1WRV7ehsGzvwHOzNqKWf1EoPL6GWbcLxJtDfie+O5wQObwc7PBP4UVV3eNl+F3CaM98fL/5xqLRdhAF3A88c8nx179Vqtwkf399VxtS2TdQQV6dtwieHHrm3qcqzTM7Hc/bEJuAuL2Pm4dkVcADPm3O4FzGn4Nm19g3wtTOdX0vMMcAaJ+Y7Djkbxos+T8fLs7/wHB9Z60zr6vC7OA5Y5eT4JpDgRUwUkA3E1WFdHnDeJN8BL+KcWVRLzH/wFLm1wBl1+XsCLYFleD6klgGJXsRc4syXALuBJV7EbMRzXO/gNvGbM3aqiXvN+V18A/wbz4Far7dRqjjTr5p+XgS+dfpZBKR6ERMJvOTk9xXQ39v3EPA8cF0d/k6nAKudv/FKIM2LmLF43vM/AY/iXChe23u1pm2ihphqt4kaYmrcJmqIq3Gb8MdkV9QbY4zxG9v9ZYwxxm+sqBhjjPEbKyrGGGP8xoqKMcYYv7GiYowxxm+sqBjjZyJSeMjja0Rkqlv5GBNMVlSMaSBEJNztHIypjRUVY4JIRDqIyDJn8MVlzpX8iMjzIvKnSu0KnZ+nO/fFeBn41hnV4G3x3D/nOxG53KVVMaZKEW4nYMxhqLn8+uZRifwytM9U4AVVnSMiw4ApHDJkfhVOAn6vqltE5I/ALlUdACAicX7O3Zh6sW8qxvjfPlU97uDEr0f97YtnID/wDG9yihev94WqbnHmvwXOFJHHRORUVc33X9rG1J8VFWPcdXCcpDKc96MzGGBkpTZF/2us+hOQhqe4PCIifr8fhjH1YUXFmOD6L56RocFzk6RPnPmteIoFeO4L06SqYPHcU7xYVV/Cc8Mpb28jYExQ2DEVY4JrDDBbRG7Fc0fMoc7yGcBbIvIFntFti6qJ74nnLoYVeEbVvT7A+RpTJzZKsTHGGL+x3V/GGGP8xoqKMcYYv7GiYowxxm+sqBhjjPEbKyrGGGP8xoqKMcYYv7GiYowxxm+sqBhjjPGb/wejvYtElwRv9wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hours = [hour for hour, df2 in df.groupby(\"Hour\")]\n",
    "\n",
    "plt.plot (hours, df.groupby(['Hour']).count())\n",
    "plt.xticks(hours)\n",
    "plt.xlabel('Hours')\n",
    "plt.ylabel('Number of orders')\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "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>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Cities</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Date</th>\n",
       "      <th>Day</th>\n",
       "      <th>Grouped</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>2019-04-12 14:38:00</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Los Angeles (CA)</td>\n",
       "      <td>14</td>\n",
       "      <td>2019-04-12</td>\n",
       "      <td>12</td>\n",
       "      <td>Google Phone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>2019-04-12 14:38:00</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles (CA)</td>\n",
       "      <td>14</td>\n",
       "      <td>2019-04-12</td>\n",
       "      <td>12</td>\n",
       "      <td>Google Phone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>176574</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>2019-04-03 19:42:00</td>\n",
       "      <td>20 Hill St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Los Angeles (CA)</td>\n",
       "      <td>19</td>\n",
       "      <td>2019-04-03</td>\n",
       "      <td>3</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>176574</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>2019-04-03 19:42:00</td>\n",
       "      <td>20 Hill St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.95</td>\n",
       "      <td>Los Angeles (CA)</td>\n",
       "      <td>19</td>\n",
       "      <td>2019-04-03</td>\n",
       "      <td>3</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>176585</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>2019-04-07 11:31:00</td>\n",
       "      <td>823 Highland St, Boston, MA 02215</td>\n",
       "      <td>4</td>\n",
       "      <td>99.99</td>\n",
       "      <td>Boston (MA)</td>\n",
       "      <td>11</td>\n",
       "      <td>2019-04-07</td>\n",
       "      <td>7</td>\n",
       "      <td>Bose SoundSport Headphones,Bose SoundSport Hea...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Order ID                     Product  Quantity Ordered  Price Each  \\\n",
       "3    176560                Google Phone                 1      600.00   \n",
       "4    176560            Wired Headphones                 1       11.99   \n",
       "18   176574                Google Phone                 1      600.00   \n",
       "19   176574        USB-C Charging Cable                 1       11.95   \n",
       "30   176585  Bose SoundSport Headphones                 1       99.99   \n",
       "\n",
       "            Order Date                      Purchase Address  Month   Sales  \\\n",
       "3  2019-04-12 14:38:00  669 Spruce St, Los Angeles, CA 90001      4  600.00   \n",
       "4  2019-04-12 14:38:00  669 Spruce St, Los Angeles, CA 90001      4   11.99   \n",
       "18 2019-04-03 19:42:00     20 Hill St, Los Angeles, CA 90001      4  600.00   \n",
       "19 2019-04-03 19:42:00     20 Hill St, Los Angeles, CA 90001      4   11.95   \n",
       "30 2019-04-07 11:31:00     823 Highland St, Boston, MA 02215      4   99.99   \n",
       "\n",
       "               Cities  Hour        Date  Day  \\\n",
       "3    Los Angeles (CA)    14  2019-04-12   12   \n",
       "4    Los Angeles (CA)    14  2019-04-12   12   \n",
       "18   Los Angeles (CA)    19  2019-04-03    3   \n",
       "19   Los Angeles (CA)    19  2019-04-03    3   \n",
       "30        Boston (MA)    11  2019-04-07    7   \n",
       "\n",
       "                                              Grouped  \n",
       "3                       Google Phone,Wired Headphones  \n",
       "4                       Google Phone,Wired Headphones  \n",
       "18                  Google Phone,USB-C Charging Cable  \n",
       "19                  Google Phone,USB-C Charging Cable  \n",
       "30  Bose SoundSport Headphones,Bose SoundSport Hea...  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duplicate = df[df['Order ID'].duplicated(keep=False)]\n",
    "duplicate.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\JH\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Cities</th>\n",
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       "      <th>Date</th>\n",
       "      <th>Day</th>\n",
       "      <th>Grouped</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>2019-04-12 14:38:00</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
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       "      <td>14</td>\n",
       "      <td>2019-04-12</td>\n",
       "      <td>12</td>\n",
       "      <td>Google Phone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>176560</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>2019-04-12 14:38:00</td>\n",
       "      <td>669 Spruce St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Los Angeles (CA)</td>\n",
       "      <td>14</td>\n",
       "      <td>2019-04-12</td>\n",
       "      <td>12</td>\n",
       "      <td>Google Phone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>176574</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>2019-04-03 19:42:00</td>\n",
       "      <td>20 Hill St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Los Angeles (CA)</td>\n",
       "      <td>19</td>\n",
       "      <td>2019-04-03</td>\n",
       "      <td>3</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>176574</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>2019-04-03 19:42:00</td>\n",
       "      <td>20 Hill St, Los Angeles, CA 90001</td>\n",
       "      <td>4</td>\n",
       "      <td>11.95</td>\n",
       "      <td>Los Angeles (CA)</td>\n",
       "      <td>19</td>\n",
       "      <td>2019-04-03</td>\n",
       "      <td>3</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>176585</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>2019-04-07 11:31:00</td>\n",
       "      <td>823 Highland St, Boston, MA 02215</td>\n",
       "      <td>4</td>\n",
       "      <td>99.99</td>\n",
       "      <td>Boston (MA)</td>\n",
       "      <td>11</td>\n",
       "      <td>2019-04-07</td>\n",
       "      <td>7</td>\n",
       "      <td>Bose SoundSport Headphones,Bose SoundSport Hea...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Order ID                     Product  Quantity Ordered  Price Each  \\\n",
       "3    176560                Google Phone                 1      600.00   \n",
       "4    176560            Wired Headphones                 1       11.99   \n",
       "18   176574                Google Phone                 1      600.00   \n",
       "19   176574        USB-C Charging Cable                 1       11.95   \n",
       "30   176585  Bose SoundSport Headphones                 1       99.99   \n",
       "\n",
       "            Order Date                      Purchase Address  Month   Sales  \\\n",
       "3  2019-04-12 14:38:00  669 Spruce St, Los Angeles, CA 90001      4  600.00   \n",
       "4  2019-04-12 14:38:00  669 Spruce St, Los Angeles, CA 90001      4   11.99   \n",
       "18 2019-04-03 19:42:00     20 Hill St, Los Angeles, CA 90001      4  600.00   \n",
       "19 2019-04-03 19:42:00     20 Hill St, Los Angeles, CA 90001      4   11.95   \n",
       "30 2019-04-07 11:31:00     823 Highland St, Boston, MA 02215      4   99.99   \n",
       "\n",
       "               Cities  Hour        Date  Day  \\\n",
       "3    Los Angeles (CA)    14  2019-04-12   12   \n",
       "4    Los Angeles (CA)    14  2019-04-12   12   \n",
       "18   Los Angeles (CA)    19  2019-04-03    3   \n",
       "19   Los Angeles (CA)    19  2019-04-03    3   \n",
       "30        Boston (MA)    11  2019-04-07    7   \n",
       "\n",
       "                                              Grouped  \n",
       "3                       Google Phone,Wired Headphones  \n",
       "4                       Google Phone,Wired Headphones  \n",
       "18                  Google Phone,USB-C Charging Cable  \n",
       "19                  Google Phone,USB-C Charging Cable  \n",
       "30  Bose SoundSport Headphones,Bose SoundSport Hea...  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duplicate['Grouped'] = duplicate.groupby(['Order ID'])['Product'].transform(lambda x: ','.join(x))\n",
    "duplicate.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "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>Order ID</th>\n",
       "      <th>Grouped</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>176560</td>\n",
       "      <td>Google Phone,Wired Headphones</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>176574</td>\n",
       "      <td>Google Phone,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>176585</td>\n",
       "      <td>Bose SoundSport Headphones,Bose SoundSport Hea...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>176586</td>\n",
       "      <td>AAA Batteries (4-pack),Google Phone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>176672</td>\n",
       "      <td>Lightning Charging Cable,USB-C Charging Cable</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Order ID                                            Grouped\n",
       "3     176560                      Google Phone,Wired Headphones\n",
       "18    176574                  Google Phone,USB-C Charging Cable\n",
       "30    176585  Bose SoundSport Headphones,Bose SoundSport Hea...\n",
       "32    176586                AAA Batteries (4-pack),Google Phone\n",
       "119   176672      Lightning Charging Cable,USB-C Charging Cable"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duplicate = duplicate[['Order ID','Grouped']].drop_duplicates()\n",
    "duplicate.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('iPhone', 'Lightning Charging Cable') 1005\n",
      "('Google Phone', 'USB-C Charging Cable') 987\n",
      "('iPhone', 'Wired Headphones') 447\n",
      "('Google Phone', 'Wired Headphones') 414\n",
      "('Vareebadd Phone', 'USB-C Charging Cable') 361\n",
      "('iPhone', 'Apple Airpods Headphones') 360\n",
      "('Google Phone', 'Bose SoundSport Headphones') 220\n",
      "('USB-C Charging Cable', 'Wired Headphones') 160\n",
      "('Vareebadd Phone', 'Wired Headphones') 143\n",
      "('Lightning Charging Cable', 'Wired Headphones') 92\n"
     ]
    }
   ],
   "source": [
    "# most sold product pairs\n",
    "from itertools import combinations\n",
    "from collections import Counter\n",
    "\n",
    "count = Counter()\n",
    "\n",
    "for row in duplicate['Grouped']:\n",
    "    row_list = row.split(',')\n",
    "    count.update(Counter(combinations(row_list,2)))\n",
    "                 \n",
    "for key, value in count.most_common(10):\n",
    "    print(key, value)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Google Phone', 'USB-C Charging Cable', 'Wired Headphones') 87\n",
      "('iPhone', 'Lightning Charging Cable', 'Wired Headphones') 62\n",
      "('iPhone', 'Lightning Charging Cable', 'Apple Airpods Headphones') 47\n",
      "('Google Phone', 'USB-C Charging Cable', 'Bose SoundSport Headphones') 35\n",
      "('Vareebadd Phone', 'USB-C Charging Cable', 'Wired Headphones') 33\n",
      "('iPhone', 'Apple Airpods Headphones', 'Wired Headphones') 27\n",
      "('Google Phone', 'Bose SoundSport Headphones', 'Wired Headphones') 24\n",
      "('Vareebadd Phone', 'USB-C Charging Cable', 'Bose SoundSport Headphones') 16\n",
      "('USB-C Charging Cable', 'Bose SoundSport Headphones', 'Wired Headphones') 5\n",
      "('Vareebadd Phone', 'Bose SoundSport Headphones', 'Wired Headphones') 5\n"
     ]
    }
   ],
   "source": [
    "# 3 products that sold together the most\n",
    "from itertools import combinations\n",
    "from collections import Counter\n",
    "\n",
    "count = Counter()\n",
    "\n",
    "for row in duplicate['Grouped']:\n",
    "    row_list = row.split(',')\n",
    "    count.update(Counter(combinations(row_list,3)))\n",
    "                 \n",
    "for key, value in count.most_common(10):\n",
    "    print(key, value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VWJ4KQHMWboE5nsoxo2JdS3ufMSrRYIyKYUpa01SjEsmymlI6B4fpGRpJmw6G6XF+dGvLrZgKQFM2eirdfuYU51GSbzVxryq0jIopgIwOY1QMUzJW+JhWT8XKADNxlcymvddPeWEuxfk5FOUKVcV5WemptHT7xrwUgDyvdS2mADI6jFExTElbr5+CXA9zivPSpsPYFEhTWZ/RdPQGqIu4+WioKqKpMws9lR4fC8d55vWVhaZWJUqMUTFMiZNOLCJp06G2vIDS/BxTWZ/htPX6qYuYDNpYVZx1nkoorLT1+McyvxzqygvTFqgPhsK0DmRPOnPSjIqILBSRTSKyW0R2icg/2+tzRORBEdlr/7fSXhcR+bGI7BORnSJyRoSsa+zj94rINRHrq0XkBfucH0s6f/lmKOksfHQQEZbUlJjtrwyno2+8p1JMe1+AwGj2TIHs6PMTDOtx219gZbS19/pRTf2cmPufb+crT/jHJlFmOsn0VILA51V1BXAucIOIrARuBB5S1SXAQ/ZrgDcDS+zHdcBtYBkh4KvAOcDZwFcdQ2Qfc13EeVck8XpmJemY+DgR1hTIgbT8ozZMz9BwkD7/KLUVEZ5KtfXDnC0/hvDaGhWH+spCfCMhen2pbxe05/AACjzf2pvyz46HpBkVVe1Q1Wft5wPAbqAeuBK4yz7sLuAd9vMrgV+rxVNAhYjUApcDD6pqt6r2AA8CV9jvlanqk2r90vw6QpbBBXwjQbqHRtJWoxLJ0ppSenyjdA6aDLBMxOlOXD/OU4HsygBrteeovMao2MYyHXGVZjsu9VJ7f8o/Ox5SElMRkUbgdOBpoEZVO8AyPMA8+7B6oCXitFZ7bar11gnWDS7RnsbuxONxgvV7zRZYRuJkRtWWH/uuNFZZP8zZFFc52O3D6xFqI2JDwNi2XjriKk67m11ZYlRykv0BIlIC3At8RlX7pwh7TPSGxrE+kQ7XYW2TUVNTw+bNm6fRemIGBwfjPjcbZew8arXYONL0Mpv79rquRyzn9wasQOUDTzzHSOuxbsnZ9PecyTIeabG2hQ6+vANfs4fBwUF2bN1CcS5s2bmXxaGDKdEjURnbXg4wJx8ef+zR42T0v/QcAI888wJ5R19Oqg6RqCr7j1qeyo7mzpT9e0sIVU3aA8gFNgKfi1jbA9Taz2uBPfbz24Grxx8HXA3cHrF+u71WC7wcsX7ccZM9Vq9erfGyadOmuM/NRhl3P9WkDWvXa1uPLyl6xHJ+OBzW131to954705XdTAy3JHx/Y0va+ON63UkGDpOxtt/8ph+4JdPpUyPRGW845bH9eqfP/kaGeFwWJf+ywb91vpdSdchksN9fm1Yu17P/voD2rB2vR7u98ctK9G/J7BNo/jdT2b2lwB3ALtV9QcRb90POBlc1wD3Rax/yM4COxfoU2t7bCNwmYhU2gH6y4CN9nsDInKu/VkfipBlcIG2Hj85HqGmrGD6g5OMiLCsptRsf2Uo7X0BakoLyPUe/5PSUFWcVd2KI1veRyIi1FcU0p7iAkgnHnXWfGtTKRviKsmMqZwPfBC4SER22I+3AN8FLhWRvcCl9muADcB+YB/wC+B6AFXtBr4JPGM/vmGvAXwC+KV9zqvA/yXxemYdbb1+5pcX4PVkRqa2k1asJgMs42jv9R+X+eXQWFVEW4+fkWDm11n4RoJ0Do68Jp3Yob6ykNYUx1Qcg3xmjRfIjrhK0mIqqvo4E8c9AC6e4HgFbphE1p3AnROsbwNOTkBNwxSkc47KRCytKaU/EORw/zDzy9PvPRmO0dEXYGVd2WvWG6qKCSu09vhYNLckDZpFT4ud+TWZUakrL+TlQ0dSqRLNXUN4PcKCUg8L5xTyUkfmGxVTUW+YFKvwMbOMCpgeYJmGqtI+rprewalVyYYW+E49zfgWLQ51FYUcHRhOaTFnU5ePBZWF5HiEVbXls377y5DFjIbCHO4PsCCjPBXTWDIT6R4aYTgYPq6a3uFYrUrmx1UmK3x0cG6wUjmsq7lraOxvuLKujKauIQaHM3vwmTEqhgk51BcgrOlteT+eqpJ8qorzjFHJMNonqFFxqLJbyGeFp9LjoyjPO2nz1Do7ZpSqWhVVpbnTN1bvs6quDFV4OcO3wKIyKiJyr4i8VUSMEZoljM1RqUhv36/xWO1aTLfiTKJ9gmp6BxGhoaooKwogncyvyWrpFtj/FlIVrO8eGmFgOHicpwJkfFwlWiNxG/A+YK+IfFdElidRJ0MG4LSjyCRPBawtsH1HBk0GWAbh3LlPlP0FTrfiLPBUuv0smKJ5ak15PiKp81ScdGLHU5lfVsCc4jx2tc0Ao6Kqf1PV9wNnAE3AgyKyRUQ+IiK5U59tyEac4Vzj21WkmyU1pQwOB2lP4b62YWo6+gLk5XiommTbqKGqiJYeH8FQ5qYVqyoHJ6lRccjP8TK3JD9lRsXx7hxPRURYWVs2YzwVRKQK+DDwUeA54EdYRubBpGhmSCttvT7mluZTkOtNtyrHMZYBZmarZAzOHJXJto0aq4oZDSkdGXwj0DU0gn80xMI5U3vmqRzW1dTlQ4TjdFpVV8aeQwOMZrCBjjam8gfgMaAIeJuqvl1Vf6eqnwIyO/ncEBeZ0vJ+PCYDLPPo6PVPmPnl0GBv32RyBth0mV8OdSmsqm/uGqKuvJD8nGM3divryhgJhXn1aObGFaP1VH6pqitV9Tt2exREJB9AVc9MmnaGtNHWk1k1Kg4VRXnMK803wfoMor03MGHml0Njdea3wB+rUZnGqNRXWJ5KKmJ6TV2+sTofh1V2sD6T4yrRGpVvTbD2pJuKGDKHcFhp782sGpVInIFdhvQzGgpzZCAwNm9kIuaV5lOQ66G5M3M9lWOFj9MblZFgOCVzfSJrVBxOrC6hINeT0XGVKdu0iMh8rBklhSJyOsfarpRhbYUZZiCdg8OMhMIZ6amAZVR+u/Ug4bDJAEs3h/uteqbaKW5ARITGquIM91T8VJfkU5g3dQwxcq7K3NL8pOnT5xul1zc6lvnl4PUIy+eXsau9L2mfnSjT9f66HCs4vwCI7DQ8AHwpSToZ0kxrBg3nmoilNSX4R0NjtTSG9OEE36eKqYAVV9l/NHM9FSvza/rve2QB5KkLK5KmT3P38ZlfkaysK2P98+2o6qTJEelkyu0vVb1LVdcAH1bVNRGPt6vqH1KkoyHFOOnEmeqpLLEzwPaYLbC046TXTtT3K5LGqmKau30Z61229PimjafAsQLIZGeAHatRea1RWVVXRn8gmLE3VdNtf31AVe8GGkXkc+PfHzcnxTBDaMsCTwWsDLBVmXejNqsYa9EyzXflhKoiRoJhDvUHpvVqUs1oKEx7r593nj79NPKywhyK87xJNypO/GmibLSVtXawvr0/KkOYaqYL1DtmsgQoHfcwqcQzlLYeP2UFOZQWZGZda2lBLnXlBWZgVwbQ3mt9V0ryp95Jb8zgxpIdvVZcaLogPVjxobqKwjFvPlk0dfmYX1YwYYxn+fwyPJK57Vqm/Cao6u3207+p6hOR74nI+UnTypBWrJb3mXcHFMmSmlL2HB6E+enWZHbT0Td1jYqDU6vS3OXj9SclW6vYOBhlOrFDfWXhWL+zZGFlfk2sT2Gel0VzS3gpQ4P10aYU/yTKNcMMINOGc03EsvmlvHp0kLDpAZZW2nqj286qLS8kz+vJSE+lpccxKtF951NRANnU5ZswnuKwqq4sY2erTBdTOQ94PTB3XEylDMis/h0GV1BV2nr9nHdSVbpVmZIl80oYCYY54jNGJZ109PlZ3TB9FpTXIyycU0hzZ+alFR/s9pHjkSkLOCOpryike2gE30iQojz3h+cODgfpHBymoXpyz2lVXRn37WinZ2iEykl6rqWL6TyVPKzYSQ7Hx1P6gXclVzVDOuj3BxkcDma8p+L0AGsdyNweSDMd30iQXt9o1D/GVq1KBnoq3T7qKwvxeqLL+qgfq1VJjrfiNJKcylNZWVsOZGZcZbqYyiPAIyLyK1VtTpFOhjTS2mvdSWZqOrHD4nlWnkjboDEq6cL5UY32BqShqpgtr3ZlXH1FyzTdiccTWQDpfA/dxBkTMFlMBY7NVtnV3sf5i6td1yERovXd8kXk50Bj5DmqelEylDKkj7EalQz3VIrzc1g4p5C2FLTLMEzM2ByVKMcjNFYX4R8NcXRgmHllmTNSoaXHz+V15VEf79xwJSutuKlr8sJHhznFedSWF2RkXCVao/J74GfAL4FQ8tQxpJtMHc41EUvnlbKn9Wi61Zi1dNgZUNHWnRybV+/LGKMyOByke2gkJk+lpjQfTxKHdTV3+qguyZ82TXtVXRm7MtCoRJv9FVTV21R1q6pudx5J1cyQFtp6/BTkTj5wKZNYUlNKx5AyEjRbYOmgrTeACMyP1lPJwBb4x7oTR38TleP1ML+sIKmeyvieXxOxsraMV48OEhjNrPv8aI3Kn0XkehGpFZE5ziOpmhnSQps9GyOT9rwn4+wTKwkpfPzu7QwOB9Otzqyjo9fPvNJ8cr3R/YzUVxSS45GMmlcf7RyV8dRXJq8AsrnLN+XWl8PKunLCCi9n2MC6aI3KNcAXgC3AdvuxbaoTROROETkiIi9GrH1NRNpEZIf9eEvEezeJyD4R2SMil0esX2Gv7RORGyPWTxSRp0Vkr4j8TkQy/9Y6C8jU4VwTcdHyGj60Mo9HXjnKu27bkrKJfAaL9j5/1JlfYN3hL6gszKhuxdG2vB9PXUVyCiD9IyEO9Qei8lSc2SqZFleJdkb9iRM8Fk1z2q+AKyZY/6GqnmY/NgCIyErgKmCVfc6tIuIVES9wC/BmYCVwtX0swL/ZspYAPcC10VyLYWraevwsyIJ4isNFJ+Ry54fPoq3Hz5U/fYLnW3rTrdKsoaM3EPMNSENVcUZ5Ki3dPkrzc6goiq0lUV1FIYf6AoRcbpDpeE4N1dN7KgsqCyktyMm4NvixzKg/WUTeIyIfch5THa+qjwLdUYq/ElinqsOqegDYB5xtP/ap6n5VHQHWAVeKtTdzEfC/9vl3Ae+I9loME+MfCdE1NJI1norDm5bO5d7rX09Brof3/vxJNrzQkW6VZjyqansqsQXcG6uKaO70pWRyYjQc7PaxYE5RzNu99RWFjIaUowPDrurTNFajEl0fspW1ZRlXqxLtjPqvYrVl+QmwBvge8PY4P/OTIrLT3h6rtNfqgZaIY1rttcnWq4BeVQ2OWzckgLN9tCDD+35NxNKaUv50w/msrC3j+t88yy2b9mXMD9dMpMc3SmA0HHPH4YaqYgbsjKtMoKXHH9UclfE4N15ub7k6XlzDnOk9FYBVdeW83DHguseUCBLNPzwReQE4FXhOVU8VkRqsufVvm+a8RmC9qp5sv64BOgEFvgnUquo/isgtwJN2m31E5A5gA5bRu1xVP2qvfxDLe/mGffxie30hsEFVT5lEj+uA6wBqampWr1u3btprnojBwUFKShIrdspkGS8cDfL97cN86ZwCllZO34UnUT2ScR0jIeXOF4d5qiPE+XU5fOTkPHKmqZTO5P8nmSqjuT/EV7cE+ORp+Zw5/7Wpr5PJ2HEkyH8+O8yXzylg8TTfsWRfi6py3YM+Lj4hh6uWTz7FcSIZrQNhvvyEn4+fms+5tVOn/sZyHb/aNcy2Q0F+evHxRmUyGY+3jfLLF0b49hsKqSuZ2kdI9O+5Zs2a7ap65rQHquq0D2Cr/d/tWH2/BNgVxXmNwIvTvQfcBNwU8d5G4Dz7sTFi/Sb7IVjGKcdeP+64qR6rV6/WeNm0aVPc52aDjN881awNa9drW48vJXok6zrC4bD+8ME92rB2vb77Z1u0e3A4LXrMZBkbX+zQhrXr9fmWnphk7DsyoA1r1+u921tc0SMRGYf7/Nqwdr3eteVAzDL6/SPasHa93rZ5X0I6jOd9v3hSr/zp41HLeKm9TxvWrtc/Pdfqqh4TAWzTKH5jo42pbBORCuAXtmF5Ftga5bljiEhtxMt3Ak5m2P3AVSKSLyInAkts+c8AS+xMrzysYP799gVu4lj/sWuA+2LVx3A8bb1WY72aDClMixcR4TOXLOVHV53GjoO9vPPWJ9h/dDDdas0onDHCsWR/gRVc9ggZkQEWa8v7SEoLcikryHGtZXizAAAgAElEQVS9ALKp0xdVPMVh8bwS8ryejIqrRJv9db2q9qrqz4BLgWtU9SNTnSMivwWeBJaJSKuIXAt8T0ReEJGdWLGZz9rydwH3AC8BfwFuUNWQWjGTT2J5LruBe+xjAdYCnxORfVgxljtiunLDa2jt8TO/vCDqxnqZzpWn1fPb685hIBDknbduYcurnelWacbQ3usnLyf2Itn8HC91FYUZkQE21vI+zhii28O6hoMh2vv8UdWoOOR6PSydX5JRacVRtWkRkTdOtKZWhteEqOrVEyxP+sOvqjcDN0+wvgErvjJ+fT9WfMXgEtkwRyVWVjfM4U83nM8//uoZPnTHVr79zlN4z1kL061W1tPeF6C2vABPHDcgVrfiDPBUupzElPi+8wsqC12dE9/S7UfV6pEWCytry3ho95GMadQZ7fbXFyIeXwH+DHwtSToZ0oQ18XFmGRWwtjfuvf71nHdSFV+8dyff+b/dhDMoWyYbae/1Uxfj1pdDQ1URBzPEU6kpy6cgN77RUNawLveMSnMUjSQnYlVdOV1DIxzudze9OV6i3f56W8TjUuBk4HByVTOkktFQmMP9ARbMME/FoazAKpJ8/zkncPsj+/nEb7bjGzGtXeKlo9dPbUV8sbfGqmJ6fKP0+UZd1io2DsbY8n489RWF9AeCDATcuQ7He2uIUafINviZQNTFj+NoxTIshhnCob4AYc2O7sTxkuv18K13nMxX/m4lf33pMO+9/SkO9yd3LOxMJBgKc6g/9mp6h7F59d3p9VZau31xx1Mgcq6KO9+h5q4hSvNzmBNjnGpFbWa1a4k2pvITrNoSsAzR6cDzyVLKkHpax+aoZF/hYyyICNe+4UQaq4r41G+f48qfPsEnzO1RTBwZGCassWd+OTRWH2uB/7oF048iTgbDwRAd/YG4Mr8cIod1LZtfmrBOTV0+Gqpjr+4vyc+hsaooY9rgR+upvIzVOmUfVkbXF1X1A0nTypBysmmOihtcvKKG//346xGBf9saYMh0OY4aJ45QF+f2l7Pl1NyZPk+lvTeAanzpxA5OgL/VpbhKc9dQzPEUh1V15RmTVjylURGRXBH5T6zq9w8DH8Fq0XKB/f7pyVbQkBqc1MhYezllMyvryvj+e07FF4TH9pp042hpt2tUYm3R4lCQ66W2vCCtGWDxtryPZG5JPrlecSVYPxoK09rjj6lGJZKVdWUc7PbR71J8JxGm81S+D5QADap6hqqeDqwAFonIbcAfkq2gITW09fqYWxp/Jky2clbjHIpy4KHdJu8kWmIdIzwRDVVFaa1ViWc413g8HmF+eYErRqWtx08orHF7Kk6wfncGbIFNZ1TeAvyTqo5NgVHVfuATWNXtE9WiGLKQbJqj4ia5Xg+vm+tl054jJs04Sjp6/ZQW5FBaEFu7+EjSXavS0u0jz+uhpjQxz7zepQLIY92J49z+qnUywDLfqITtlijHoaoh4KiqPpUctQyppq1nZtaoRMNpc3PoHBxhR6uZxRINbXHMURlPQ1UxnYPDaZvY2dLjs1rGJNg9wq1aFWc7Lt7tr3llBVSX5GdEXGU6o/LSRHNTROQDWG1TDDOAcFhp7525NSrTccpcL16PmC2wKOmIY47KeMbSitO0BXaw25dQkN6hvqKQQ/0BRkPhhOQ0dfoozPUyt3TybsnTsbKuLCs8lRuAG0Rks4h8X0T+Q0QeAT4NXJ989QypoHNwmJFQeNZ6KsW5wlmNlTy0+0i6VckK2nv9cQfpHY4ZlfRsgbV0+xOKpzjUVxQSVhKud7Iyv2JPJ45kVV0Z+44MMBJMzMAlypRGRVXbVPUcrPklTcBB4BuqeraqtqVAP0MKcFIiZ2NMxeGSFTW8fGiA1p7096TKZPwjIXp8oy4YFadWJfWeSp9/lD7/aEKZXw5uFUA2dQ3FHU9xWFlbxmhIeeXwwPQHJ5Fo27Q8rKo/UdUfq+pDyVbKkFqcQONs9VTAqlsBjLcyDe19idWoOJTk51Bdkk9zZ+qN+FjmlwsTTuvGJkDGfx2hsNLS7achxkaS41llZ4ClO64Sb5sWwwyizXgqnFhdzKLqYv5m4ipT0tEb3xyViWisKkqLp9KSwByV8dS74Kl09PkZCYUT9lQaq4opyvOmvV2LMSoG2nr8lCWYIjoTuHjFPJ7e3522jKRsoN3FG5CGquK0xFTG5qi4YFQK87zMKc5LaFa98zdoiDPzy8HjEVbUlhmjYkg/Vsv7md3zKxouXlHDSCjMY68cTbcqGUt7nx8RXJkO2lhVxKH+AP6RkAuaRc/Bbh/lhbmUF7pzE5VorUqiNSqRrKwt46WO/rTWXBmjYpiRw7ni4cyGSsoLc/mbiatMSnuvn7kl+eTlJP7T0WA3lnRqNFLFQZcyvxzqKhKrqm/u8pGX42G+C4Z6VV0Zg8PBMW8sHRijMstRVdp6/XFPv5tJ5Hg9XLhsLpv2HCFkqusnpKMvQK1LNyBOoV+q4yqtCc5RGY9TADlBnXhUNHUO0TCnKOFCTIicrZK+LTBjVGY5/f4gg8NB46nYXLyihu6hEXa09KRblYzEaufjTtPRhjmWp5LKAshwWGnt8buS+eVQX1HI0EiIPn98zRybu3xx9/waz9KaUrweSWtcxRiVWU6rnQo5m9OJI3nT0rnkeMRsgU2AqtLRG3Al8wugvCiXyqLclPYAOzwQYCQUdiVI71A/llYc+xZYOKw0dw/F3Z5lPAW5XhbPLUnrFEhjVGY5YzUqxlMBoLwwl7Ma55iWLRPQ6xvFPxpKuPAxEisDLHWeysEu9zK/HBIpgDwyMExgNDwWX3KDVXVlaa1VMUZlljPbhnNFw8Ur5vHK4cGxegaDxVjho4szdxqrimhKYQFki30T5WZMxfm30xZHcPxY5pd7+qysK+Nw/zCdg8OuyYwFY1RmOW09fgpyPVTFOBd7JnOJXV1vCiGPx7kTd9tTae/zMxxMTVrxwW4fIol3BIikqjiPvBzP2PCyWGh2MZ3YId3B+qQZFRG5U0SOiMiLEWtzRORBEdlr/7fSXhcR+bGI7BORnSJyRsQ519jH7xWRayLWV4vIC/Y5P5ZEOrHNYtrs5oDmz3eMxupiTppbbFq2jKPD9lRqXfxBbqwuQtVq8JgKWrt91JYVkJ/j3jA6EYm7VqWpy0euV1yduLrSnq2SrmB9Mj2VXwFXjFu7EXhIVZcAD9mvAd4MLLEf1wG3gWWEgK8C5wBnA191DJF9zHUR543/LEMUzNbhXNNxyYoanj7QxUAGjGfNFNp6/eR5PVQXx9+efTxO1lOq4ioHu30scHHry6G+ojCuQH1z1xALK4vI8br3U1xRlEd9RWHagvVJMyqq+ijQPW75SuAu+/ldwDsi1n+tFk8BFSJSC1wOPKiq3araAzwIXGG/V6aqT9pDxH4dIcsQA209pkZlIi5eUcNoSHn0FTO73qGjN8D88gJX6ikcGse6FacmrtLS426NikO8BZBNnb6E27NMxMo0ButTHVOpUdUOAPu/8+z1eqAl4rhWe22q9dYJ1g0x4B8J0TU0YjyVCTjjhAoqinJNFlgE7b2JD+caT2VRLqUFOSnxVAKjIQ73D7tao+JQV1HIkYHhmGJDqmrPUXEvnuKwqq6MA51DDKWhj11Oyj9xYia69dE41icWLnId1lYZNTU1bN68OQ4VYXBwMO5zM1HGH//6CAD9h5rZvDn28TiJ6pFJf4uJZKyoCPPXF9t4eF4PnmliTpl+LW7IOHDYx7I53qjkx6JHVV6YZ/e2snnz8V6h29fSPmgNrxo6Etv3PRo9Bg5Z26T3/fUR5hUdf68+2fl9w8rQSIjRnnY2b56631ysf4twVxBV+O2GR1hc6Y1LRtyoatIeQCPwYsTrPUCt/bwW2GM/vx24evxxwNXA7RHrt9trtcDLEevHHTfVY/Xq1RovmzZtivvcTJSxec8RbVi7Xp/e35UWPTLpbzERf36+TRvWrtetB6b/+2T6tSQqIxgK66KbHtDv/WW363rc8Jvt+sbvPZyQjGj0eHj3YW1Yu163NcX2fY9Gjyf2HtWGtev1iX1Hoz7/mQNd2rB2vT788mFXdIiktcenDWvX66+3HIhbxniAbRrFb2yqt7/uB5wMrmuA+yLWP2RngZ0L9Km1PbYRuExEKu0A/WXARvu9ARE51876+lCELEOUmOFcU/PGsep6swV2ZCBAKKyuphM7NFYV09rjT3jO+3SMtbxPwvbXsVqV6OMqThzJzXRih7ryAsoLc9MSV0lmSvFvgSeBZSLSKiLXAt8FLhWRvcCl9muADcB+YB/wC+B6AFXtBr4JPGM/vmGvAXwC+KV9zqvA/yXrWmYqbb0+vB6hptS9bJ6ZRFlBLucsmmNSizk2R6XOpRYtkTRUFREKa0Lt46PhYJeP/BwPc5PwfZ9vx5piqapv7hrC65GkxDRFhFV1ZWmpVUlaTEVVr57krYsnOFaBGyaRcydw5wTr24CTE9FxttPW42d+WYGr6YwzjYuX1/CN9S8lLaCaLSSj8NGhsfrYvPpGF9uVjKelx8fCOUVJqcnKz/EytzQ/pgywpi4f9RWFrowRmIiVtWX8+qlmgqFwSv+Nm1+TWYw1nMtsfU3Fser62e2tOD+WbhY+Ojgptcmeq3Kw25+UdGKHWGtVrBuV5Omzqr6MkWCYV4+mdrSAMSqzmLYePwtMOvGUnFBVxJJ5JbM+tbijL0Bpfg5lSRg5Pbckn6I8b1J7gKkqrd0+FibxJqrenqsSrT4HOoeSEk9xWFlbDsBLHaktgjRGZZYSDCuH+gPGU4mCi1fUsPVAN/2zuLq+rdefFC8FrP3/ZHcr7vWNMjAcdLU78XjqKgpoi3JYV69vlIFAMKmeyklzi8nL8bCrLbVxFWNUZik9ASWspuV9NFyyYh7BsPLIntk7u76jz5+UeIpDY1VRUidAjmV+JXn7azgYpmtoZNpj3ZxLPxk5Xg/L55emPAPMGJVZSlfAuptakIT0ypnG6SdUMqc4b1ZvgbW7OJxrIhqqimnp9idtjLMTr0lmTOXYXJXpt8CanXTi6uT++3MywKLxntzCGJVZSpffqgkw21/T4/WIPbv+KMEk11JkIoHREN1DI66NEZ6IxqoiRkLhsU7IbuN0QU7u9lf0tSpNXUOIJP+mbmVtGX3+0bja8seLMSqzlE6/defidi+nmcolK2ro84+yvXn2za4fy/xKoqdygh1baE5SY8mD3T7mFOdRkp+8zlROY9ZoMsAOdvmoKy+kINe9FvwTsbLOCtbvaktdsN4YlVlKV0CZW5qf9C/1TOGCJdXkeoWHXp59qcUdfcmrUXE41q04OXGV1p7kZn6BNYq6KM8bVQFkU9dQUrfiHJbPL0WElMZVjFGZpXT5wyZIHwOlBbmcu6hqVrZsce683ZyWOJ75ZQXk5XiS6qkkc+sLrCy2uopC2nqnv4bmLl/S4ykAxfk5nFhdnNLKemNUZimdfjXxlBi5ePk89h8d4kBnaovJ0k2Hfec9P4lbpR6P0DCniKYk/G2dFjDJNirg1KpM7an0B0bpGhpJWYeGlbVlKZ0CaYxKFnGwy8f3/vIyT3UECSeQJRMOK11+NYWPMXKxXV0/27LAOvr8VJfkuzqCdyKsWhX3PZWOPj/BsKZku6kuigLIg2ONJFOTebmqrpy2Xj+DI6nJAMuUeSqGKWjp9vGTh/dy77NtYymXmw8/xucvW8YlK+bF3Muoc3CYoJrMr1hZOKeIZTWl/G33YT56waJ0q5MyrJHTyU/oaKwq4vF9RwmH1dXpkk46cTK6E4+nvqKArqER/CMhCvMmNsJO3ChlnkqdNbP+4EBqMheNp5LBtHT7uPHenaz5j838aUc7Hzy3gSdvuoiPvS6fwGiIf/r1Nt556xae2BfbyNtW+07KxFRi5+IV83imqYc+3+ypru/oS26NikNDdTGB0TBHBoZdldtqpxOnwlNxbtTap0iNdryxZFbTR7Ky1jYq/caozFpae3zc9AfLmPzhuTY+cG4Dj31xDV97+ypqyws5ry6HBz/3Jr7796dwpD/A+3/5NFf//Cm2N3dPLxwzRyURLl5RQyisbH5ldmSBqSrtvcmtpndwtoPczgA72O3DI8lphjkeZzTAVFtgTZ1DzCvNpygvNRtFc0vzmVeaT/NA9KOOE8Fsf2UQbb1+btm0j99va0EQ3nfOCVx/4eIJA6S5Xg9XnX0C7zi9nt9uPcgtm/bxD7c9yUXL5/H5y5ayys5Pn+xzwHgq8XDawgqqivN4aPcRrjytPt3qJJ1+fxDfSCipmV8OTlpxc9cQ5y6qck1uS4+PuopCclPQ/j2aYV3NXb6ktmeZiFV1Zexti21HI16MUckA2nr93LppH/fYxuSqs07g+jUnRbXlUJDr5SPnn8h7z1rIr7Y0cfsj+3nrjx/nrafU8tlLl7J4XslrP6/HT1GOlSZriA2vR1izfB5/3XWI0VA4JT9U6eRYOnHyb0BqywvI9crYRES3ONjtS0k8BaCmrACPTOOpdA3xpqVzU6KPw8q6Mh555SiB0VDSa9OMUUkjHX2WZ/K7Z1oAeO9ZC7n+wsVx/QMuysvh+gsX8/5zGvjlY/u58/ED/N+LHbzz9AV85pIlx6VTtvX6qSqc2T+GyeSSFfP43+2tbGvq4byT3LujzkSctimp6LyQ4/WwsLLI9W7FLd1+Ll4+z1WZk5Hr9VBTVkDbJGnFvpEgRwaGkzqMbCLefHItviMtpKIFmDEqaeBQX4BbN+9j3dYWFOXdZy7khjWLXdmOKi/M5fOXLePDr2/kts2v8uunmrn/+Tbee9ZCPnXREusL3+OnutD96XezhQuWzCXP6+Gh3YdnvFFpT/FWaUNVkatzVYaDSufgMAvnpG6rt36KAshUB+kdTq4vp3Nh7qQZaW5ijEoKOdwf4L9fGuaxBzcRVseYnJSUpnJVJfl8+e9W8tELFvGTh/eybmsLv9/WyofOa6C1x8d5841RiZfi/BzOPamKh14+wpf/bmW61Ukq7X0Bcr1CdYn7c90noqGqmK0Hul3rquv0uEtF4aNDXUUhO1p6J3yvOQUt79ON2QNJEQ/tPswl33+EzS1B/mF1PZv+34V85+9PSXqX0vnlBdz8zlN4+PMX8tbX1XLH4wcYGgmZ7a8EuWTFPA50DvHq0cF0q5JU2nv9zC8vcLVuZCoaq4oYGgnROTj9TJJoOGJ34061Ueno809YoOzEi05IsaeSSswvS5JRVW7ZtI+P/nobDdVFfOeCQr7z969L6ZccrC/xD95zGhs/80aue+Mizq01jSQT4SJ7j36mV9d3JHmOyngaqo9lgLlBp8/6YU9FjYpDfWUhoyHl6OBr622au4aoKs5LyljmTMEYlSTiHwnx6XU7+PeNe3jb6+r4/cdez7yi9P7Jl9SU8qW3rKCywPyvT4QFlUUsn1/K33bP7HoVq5o+dUblWLdid+IqR/xhCnO9VBXnuSIvGpzuAxO1wG/q9KU8npJqzC9Lkmjr9fOun21h/c521l6xnB9ddVpKgmSG1HHJihq2N/fQ63NnqybTCIWVw/2BlM7cqa8oxOsR9zwVv9XzK9ZWRokw1bCu5q6hGR1PAWNUksLWA928/SePc7DLx53XnMUnLjwppV9qQ2q4eMU8q7o+wdn1h/oC/H5bCzuOBF3SzB2ODgwTDGtKalQc8nI81FcUuuapHPWFU5r5Bccy5cbXqgRGQ7T3BVLW8ytdpCX7S0SagAEgBARV9UwRmQP8DmgEmoD3qGqPWL/GPwLeAviAD6vqs7aca4Av22K/pap3pfI6JuJ/nj7IV+9/kYWVRfz8Q2dOWHxomBmcuqCC6pJ8/rb7MO+qi/48/0iIrU3dPPrKUR7be5RXDlvB/hyBd1+W2u2mqXD6V6Wimj6Shiq7VqU2MTmqylG/cmmK45elBbmUFuS8xqi0dKdmLn26SWdK8RpVjewbcCPwkKp+V0RutF+vBd4MLLEf5wC3AefYRuirwJmAAttF5H5VTcu819FQmK//eRd3P3WQC5fN5UdXnU554cwNxhmsGSAXLZ/L/714iHfMn3zPXlV5+dAAj+09yqOvdLK1qZuRYJi8HA/nnDiHd61ewIraMj7yX1v5zwdf4d/ffWoKr2Jy2lNYTR9JY1Uxf9rRhmpicZCuoRGGQ6npTjweq1bleKPSNFajYjyVVHElcKH9/C5gM5ZRuRL4tVqJ60+JSIWI1NrHPqiq3QAi8iBwBfDb1KoNXYPDfOI3z7L1QDcfe9Mivnj5crwpSsE0pJeLV9Rwz7ZWXunJ4ZKI9aMDwzyxr9PyRvZ1ctTuvLu0poQPndvABUvncnbjnOPibBefkMO9z7Zy3RsXsaSmNMVX8lqc4VypzP4Cy1MZCAQZGk3MqDieQSozvxwso3J8Vf2xGhXjqSQDBf4qIgrcrqo/B2pUtQNAVTtExOmrUA+0RJzbaq9Ntp5SdrX3cd2vt9M5OMyPrjptVjQZNBzjgiXV5OV42HY4yJZ9nTy61zIkzkzwyqJc3rBkLm9cUs0FS+ZOOT3x7xbl8UQH/Mdf93D7B89M1SVMSluvn5L8HMoKUvsz4QSyD/sSa9U+NkclDUalrqKQbc3Hb5o0dQ1RXphLRVHqMtHSgbhVuRrTh4rUqWq7bTgeBD4F3K+qFRHH9KhqpYg8AHxHVR+31x8CvghcBOSr6rfs9a8APlX9/gSfdx1wHUBNTc3qdevWxaX34OAgJSXHYiRbDwX55QvDlOQKnz49n8by6bO7xstwQ49slZEJOrgh4wfbAuzstNqKewUWV3g4udrLKdVeTijz4IkySWNwcJCHDuXxx32jfOXcAk6qiD1b0M2/x0+eC9AxFObbb4j9RzkRPdoHw3zpcT9XLVYuP6k47iSXP786wr17R7n9kiLyc+LfOYjnWjbsH+GeV0a57ZIiQoEhSkpK+Pdn/PiC8NXzYvf8MuF7vmbNmu2qOv3djqqm9QF8Dfh/wB6g1l6rBfbYz28Hro44fo/9/tVYXg4THTfZY/Xq1RovmzZtUlXVUCis/7HxZW1Yu17//tYn9HC/P2YZiTBTZGSCDm7IeO5gj37str/og7sO6UBgNCE9BgOjuvqbf9X33r5Fw+FwXDISxZHxdz9+TD90x9MJyYgH/0hQl315gzasXa/n3Pw3vf7u7XrHY/v1+ZYeHQ2Gopbzxd8/r6d85YG49XCI51ru29GmDWvX655D/WPnv+HfHtJP/c+zKdPBbRnANo3iNz3l218iUgx4VHXAfn4Z8A3gfuAa4Lv2f++zT7kf+KSIrMMK1PeptT22Efi2iFTax10G3JRs/QcCo3z2dzv42+4jXHXWQr5+5aqkz+42ZDanLazgquX5XLiyJmFZxfk5fOqiJXz1/l08urcz5S3SI+no83NyfVnKP7cg18uGT1/AnRuepD9vDtube3jghQ4ACnO9nLawgjMbK1ndUMkZDZWTVqe39PiYm6bGqZEFkAKMBMO09fh55yzYHk9HTKUG+KPt0uYA/6OqfxGRZ4B7RORa4CDwbvv4DVjpxPuwUoo/AqCq3SLyTeAZ+7hvqB20TxaHh8L8/a1b2N85xDeuXMUHz20w9ScG17n67BP4xWP7+d5fXuaCxdUp67sVSWDU6r9Vl+IgvcOiuSVc0pDLhReeDlgGbltTD9ube9jW3M2tm18lFFZEYFlNKasbKi1Dc8IcFs4pREQ42O1jQVG6jIq1ZdjW42cB1jTXsM78zC9Ig1FR1f3Aa3ImVbULuHiCdQVumETWncCdbus4EY++cpSvP+knPy+Xu689Z8a3PDekj7wcD5+/bCmf/d3zPPBCB287NYYiGJc41GdnfmVIzUxteSFvO7Vw7G8xNBxkR0sv25osI3PfjnZ+8/RBwBqfe2ZDJR19AU6vTE8u0tzSfHI8QnuvnwUFx1rez/QaFcislOKMZTQU5l/ve5GqQg//84k3pCWbxDC7ePup9dz+yH6+/9c9XHHy/JRPmDxWo5LawsdoKc7P4fzF1Zy/uBqwWsrsOTTA9uZutjX3sK2ph1BYaSxPT9MQr0eYX15g1arMtzK/wHgqBptcr4dffeRsXt6x1RgUQ0rweoQvXL6Ma+/axj3bWnj/OQ0p/fx221NJ1/ZXrHg9wsq6MlbWlfHB8xoBy5t55snH06ZTfUWhZZznW55KSX5OShtbpgvT+ytKGquLKUggLdFgiJWLls/jzIZKfvS3vfhHQin9bMdTmaquJtMpzk/vPbNlVCzj3NQ1RENVahtbpgtjVAyGDEVEWPvm5RwZGOZXW5pS+tkdfX6qS/IoyDWZjfFSV1HIof4AobBysMs347sTOxijYjBkMGc1zuGi5fO4bfM++nyjKfvctt5Aynt+zTTqKwsJhZWugNLSM/PnqDgYo2IwZDhfuHwZA8NBfvboqyn7zI5ef0rnqMxEHKO8tyfEaEiNp2IwGDKDFbVlvOO0ev7riQMc7g9Mf0KCqCrtvX7jqSSIUwD5UpfVw8x4KgaDIWP47CVLCYWVHz20N+mf5QvC0EgoazK/MhXHKO/utpIsGquNp2IwGDKEE6qKeN/ZJ/C7Z1o40OnOqN3J6A5YTWaNp5IYRXk5VBbl0h1QCnI9zCvNT7dKKcEYFYMhS/jkRUvIz/Hw/b/uSerndPmt7ZraDC18zCbqKy3D3FgVf7flbMMYFYMhS5hbms+1bziR9Ts7eLGtL2mf43gqmTLWOJtxthBnSzwFjFExGLKKf3rjIiqKcvnexuR5K90BJccjVJfMju2aZOJsIc6G9iwOxqgYDFlEWUEuN1y4mEdfOcqWVzuT8hld/jDzywvMSGwXWFBpPBWDwZDhfPC8BmrLC/jeX/Y4A+pcpTugJvPLJZwtxNlSowLGqBgMWUdBrpfPXrKUHS29/PWlw67L7wpoxnYnzjbWLJ/HB1bkce6i2TMqwxgVgyEL+fsz6jlpbjH/vnEPwVDYNbmhsNIT0IyZo5LtFOR6ueCGx8cAACAASURBVKQhd1ZtJRqjYjBkITleD1+4fBn7jgzyh+faXJPbOThMSE2NiiF+jFExGLKUy1fN59QF5fzng68QGHWnNf7YcC7T98sQJ8aoGAxZioiw9orltPcFuPupZldkOvM/jKdiiBdjVAyGLOb1i6u5YEk1t2zax0Ag8db4HX2Op2KMiiE+jFExGLKcL16+nB7fKL947EDCstp6/RR4oazQTBo3xIcxKgZDlnPKgnLe+rpafvnYfvqHE6tb6egNMKdAZk2fKoP7mNsRg2EG8PlLl/KXFw/xvWf8/L71aVRBUcJhCKuiav3XelgzU8Jja85rpaXbz0ll5l7TED9Zb1RE5ArgR4AX+KWqfjfNKhkMKWfR3BI+f9lSfv/kXgYCQTwCXo/lcTjPPeJBBDz2mkeOve8RweOBJfNKWZrXne7LMWQxWW1URMQL3AJcCrQCz4jI/ar6Uno1MxhSz/UXLmYlrVx44fkJydm8ebM7ChlmJdnu554N7FPV/ao6AqwDrkyzTgaDwTBryXajUg+0RLxutdcMBoPBkAYkGV1OU4WIvBu4XFU/ar/+IHC2qn5q3HHXAdcB1NTUrF63bl1cnzc4OEhJSUlCOhsZmaWDkWFkJFtGJujghow1a9ZsV9Uzpz1QVbP2AZwHbIx4fRNw01TnrF69WuNl06ZNcZ9rZGSmDkaGkZFsGZmggxsygG0axe9ytm9/PQMsEZETRSQPuAq4P806GQwGw6wlq7O/VDUoIp8ENmKlFN+pqrvSrJbBYDDMWrLaqACo6gZgQ7r1MBgMBkP2Z38ZDAaDIYPI6uyveBCRo0C8fcKrgc4EVTAyMksHI8PISLaMTNDBDRkNqjp3uoNmnVFJBBHZptGk1BkZWaODkWFkJFtGJujgloxoMNtfBoPBYHANY1QMBoPB4BrGqMTGz40MV2Vkgg5GhpGRbBmZoINbMqbFxFQMBoPB4BrGUzEYDAaDaxijkkTEYmG6ZRgMBkOqMEZlEkTEKyJ/S0SG3YTtT+mWYV/L3YnIyBREpFhEPPbzpSLydhHJTZUMEXlJRP5FRE6KXfvXyBIR+YCI/Kv9+gQROTuG8z0i8p5E9bBlFYrIsgRlvEFEPmI/nysiJ8Ypp0xEShPQ4wwR+bSIfEpEzohThivXEi8icpKI5NvPL7SvpyKVOsSLMSqToKohwCci5QmKekpEzkqnDPta5tpNN+NCRApE5F0i8iMR+b2I/FpEvigiq2KQcaaIfFZE/l1EviEi7xGROTGq8ihQICL1wEPAR4BfpVDG1UAJ8FcReVpEPiMidTF+vsOtWJ22r7ZfD2BNMo0KVQ0Dn4zzs8cQkbcBO4C/2K9PE5GYGrOKyFeBtVidwgFygZhuZOzvxwvATuBFEXleRFbHKONfgbuAKqxiv/8SkS/HKCOha7FvVB4SkRft16+LVQfgXiAkIouBO4ATgf+JUYajT8I3DDF9ngnUT46I3AOcCzwIDDnrqvrpGGS8BCzFquIfAsQSoa9LsYzbgTOwujhHXssPojj3a8DbgM3AduAIUGDrtMZ+/nlV3TnJ+R8GPg0cmOD884EXga+o6sEodHlWVc8QkU8Bhar6PRF5TlVPn+5cN2XYcs4F3gv8A7AP+K2q/iIOPcY+W0SeV9VTY5DxFcAP/I7j/79GPWheRLYDFwGbI/TYGeP3awdwOvBsAjJ2Ajeo6mP26zcAt8YoYzdwuqoG7NeFtk4rUnUtIvII8AXg9ojzX1TVk2PQwflufAEIqOpP4vyOvg34DyBPVU8UkdOAb6jq22OREwtZ31AyyTxgPxLhzS7o4YaMdvvhAWLdWnhGVb82yXs/EJF5wAlTnF8MnK+q/onetL/oS4BpjYp1uJwHvB+41l6L9XvshgxU9SksL/I+4IfAT4GojQowKiJeQG2l5gLhGNX4R/u/N0SqBiyKQUZQVftEJMaPPo4RVVURca6lOA4ZA45BAVDVx0VkIEYZTVg3LAH7dT7waowyEr2WIlXdOu7vGYxRxqiIXA1cg3VDB5bHFCtfwxq7vhlAVXeISGMccqLGGJUpUNW77C2jpfbSHlUdjVFGs4icClxgLz2mqs+nQcbXAey9alXVwRjOfcA+t1FVmyLfE5GzVPUZLO9jsvNvsY+dM/4OWkROVNUdUV8IfAZrW+KPqrpLRBYBm2I43xUZ9nbk1VheShNWDcDvY9Tjx8AfgXkicjPwLiCmbRJVdWOv/0UReR/gFZElWF7llhhl3GN7wxUi8k9Yxi4WAwuw1ZbxWyzD+F5gsxMXUdVno5AxDOwSkQdtGZcCj4vIj20Z0ewyJHotnWLF3Byj9C6gI4bzwdqS/Thws6oesGM68cRF3bhhiAmz/TUFInIh1v5sE9aW00LgGlV9NAYZ/wz8E/AHe+mdwM9V9ScplnEy8N+AE8PoBD4Uy/wZEXkWeJuqttmv3wT8VFVPifL8J4A3q2q//XolcE8s2wIRsopVdWj6I92VISLfxvqx6wHWAetUtTUBHZYDF2N9vx5S1d0xnl8EfA44QVWvs43CMlVdH6OMfwEus/XYCHzT2UKKQc6lkTJU9cEYz5/KsKuqXhSFjGumel9V74pSl7ivxb5J+TnweqzvyQHgA+NvyKKQU4j1/3VPLOeNk3EHVtzwRqwboE8Duar68XhlTotmwFjgTH1g7f8vi3i9FNgeo4ydQHHE62JgZxpkbAHWRLy+ENgSo4yzsKZtzgfeghXcXRjD+W8FHsEKdK8GdgGnxajDecBLwEH79alY++4pkYH1g7vUxe+YF6jD2j48AetHJJbzfwd8EXjRfl0I7HBLv2x8AHnAyfYjN416FAOlcZ77NmAPcMB+fRpwfxxyioCb7X+32+znBcm8brP9NTW5GnGXoKqvSIzpq/+/vTMPk6Wo0vf7sQmIKJuMggiiwCCyI6uKiAqjAi4ICCqoqCMKiMu4zAiIIyrMKOIAsgiKiCzK4k9ElH3He9llEUQQF1AZhavgIPD9/jhRt7PrVldlVGZ13SXe5+mnu7IqTkZWV2VEnDjnO8RM58nK4yfTsem28XTbs2eCti/J9RXb/pmkfYELCJ/1q23/MaP9D9P7dwGxr7OT7bty+gB8BXgtqWy07ZskvXwabaxg+xeZ5+tJChQ4EHiQif+pgdob08DqtndJ/ndsP6ZMX4ekNYCPAqtScYm73spgVurzHE+FCS+d0Y9nEu9H539xKbGp/HCGja3p8i5IeqdreBfauhZFKPCbSe9n599h+7N12icOYs69kGxXp+1HiVXop3PbDksZVPozIy0fT06PdydWLzmcCFwr6az0eCfgG2OwcU+KFOpcyx7Esnwgkn7A5C/bksDDwAmS8IBIEklHdrVfGrgH+FBqXzuaDsD2/V33zSeneu0obbTAfsRK+KEGNh5PbpKO/351Yl8hhzOAY4DjyXwfbA+dT9KDbxCRgJ3cm7cTn/03Zdj4L+A1nclgGjBPJVbGfWnxWs4hvh8zyf9fdOi1F5K9V9FkwjAsZVDpz78SUTX7ErOVy8jII4AI2ZV0CbBVsrGX7Rum2wax2XgwE/sylwF71mx7eOa5upnR9Th3YK5yv6QtAKcgin2BrH2IhjZeoD45HIMG2O5+EDefJhxE5Jc8T9IpRIj2npk2nrB9dMN+kDbUtyJuflcM8Rld3fabK48PTuG9ObThXWh6LSvb3i73nF20ETwBDSYMw1I26vsgaT/bRww6NsDGybbfPujYNNjY2fYZg44NsLEa8HtPzgFY0TU3IJO77e+OZExSOO3T0hK9bh+WB44AtiUG2AuA/XJm+01sSLoLeM9Uz9u+NKMfJwBrEmHrs2e0rpE71GVnOSKfSsA1trOq+ynykP5ARKJV+5GT6/IZYGcmJi07AWfY/lyGjauBj9m+Ij3eEjjc9uYZNr5BDARV78IitvfKsNHoWiQdCxxp+5a65+xho63giZm2sxJIm1IGlT4oJSB1HRsq0a7yeGHgFttrj9PGVMcG2JgBbGH78fR4MeBK27Wy/SVdA2zrFM4saSngAttb1O3DuMl9zwbYOrDXcafw75o2ziTcRuc7MuyH6UcvN6ht1851UTtJh+sB3wI6KhZ/JqIteybVTmHjaYR3obOqvwz4n85ntqaNRteiSFZ+IeFe/j/IT1ZuizYmDLkU91cP0qbn24DVulwdzwBqzYglfRL4FLCEpEeY2Fh/nJp1DVqysT0RqbWSUqx+YmnyE7IWqX45bT+uPOmXxV3Jj7H91zQjq40iQXBv5vQRv2uqNi3buLfueQbhBrlDFY4hchqOlHQGcJLtOzL70Uauy700Tzp8xPZ6kpZO/XpkiM3p96eV3uzVniIkv7Z3gebX0jhZucW9kE6I9ccqx3KTY7Mog0pvriKSlZYnNv46zCLCewdi+1DgUEmH2v7kwAYjskFk0c8AdmDyXsYs4MOZtv4oaQfb5wJI2pHId6nL3yRt6JTEptB16pll34dzgMuBnzK8j3hoG7ZzNo37oq7cIUnZuUO2fwr8NEVO7Qb8RNL9RLLet90nWVfSNrYvktTzmmx/v9fxLhudIIyeSYd1ryPxPWBDpzymxJnU2GSv8E7mHED27HFsDtq6FreQrExLeyEtTRiyKO6vESFpLdt3aAqVVNfIDm7DRsXWIrZzVybdNlYHTiHyKkRsNL/D9t01229CJAz+Lh16DrCL7dob95JutL1+VsdHYKMNJF0FfNop1FsRDvv5XHdg2lPZg4iW+h3xP9oKeIntrfu0O9j2gZJO7PG066zc1EKyoSIB9MXAl5g8o16a2GMZKFpa8S5sRUwYqjaesL1tDRttJU62kazcyl5IClL4VybCtC8hNMmylEGyzlkGlTmRdIXtrTRn3HrteHVJxzoynHtlCbvOMrYlG6fbfqtC/XWOf/Ywft60FyLbubpMnQ/5msR7eUfuh1vS54ikzfNyz92mjTZQD/HIXscG2Pg+sBax4jnJ9u8rz82wvXFrHR4RacW7E7GarrqbZxGKBQOjniQ9H1gNOJTIHq/auLnphCoHhTDm5k5qDSlA5eqc71pbeyGSjic0wzoD4tuBJ21PGWzSlDKozOdIeo7t36cv3RzYvi/T3uuIWeXiFRu1k7qSy2ftrvbfymg/i8hUfhzoDEi1Bvo2bSQ7KwHPZ7LPO0fC5yzgeibnDm1se6ea7RcC/j3n/Z/CzqRkvc7xzP/ri4gbevf/Nmezf3PbV9d9fR87/0QkDpoQQ30gs32ja0kTuE0qG/2Lp37UkjNKbRoHTyQ7jScuuZQ9lQGkSKsVmfxlq6OmW7WxBXN+YWvfSJvY6MxccwePKfpwDJH4+ErC1/sW4LqM9gcS8jBrA+cRG5pXEBE/tXALCWpt2JD0RUID7DYmfN4moo3qUs0d6kQq1Q59tf1UCsRoNKjQTrLeiUQ2/JeJz8dekK368KAi0XYz4r28Gviw7XvqGpD07tSPi9L5j5T0Wds5ycJNr6VXsvIJGe3b3At5UtLqtn8JoNAlG2m+Slmp9EGTZTQ64ZpZoYGSTgZWJ3SyZt98nFeTpQ0bbwK+CDyb+IIMI6Nxs+11K7+XAr5v+zU1299C6GzdkKJ8VgSOt/2GAU277exAxUfsDPHEtmxIuhNY1/awN+FWkHQwETzyfQ/5ZVZmrY8pbMy0vZGkWzozckmX237ZoLYVG9cQycWnpkO7Ah+yvWmGjTuJsPeH0uPlCFdn7SJVLV3LRkQiqoDLnJkI2tZeiKRXEYPcPakvzyeSp3OVvWtTVir9aUNGY2Ng7WG/8C3a+BKhMJybfV6lE6n1qKLa4UOEH7t2+zS7fiKFjf6BzNBGSV8ghC1PSYf2k7SV7U/0ada6DeJLuijDz+zbChs9gHDlPSnpMYaYLABXSXqJGyTrAX9P7ri7JH0Q+C0xgclBtk+uPP52spXDb4h9lA6ziICSHNq4lhuJCNJFACStkunhOJr4fB2VHr89HcvaC7F9YXLnVfcxRzoRKoNKf9qQ0biVUPXNrafQto0HGw4oAP9PUSf7MGIvwOTVmZiR2h9HuFr+Sob7LPEvhLLxUwCSvgncwOTN2emw8Shwo6QLmbyRmqNj1jhstIkrrxK8sQiwl6R7GD5Zb3/CNbovcAjhNuobTdWDiyV9gogQ7NRT+aFSyemam9S/JVxP5yQbOxJ1Wg5INuqoFTS6FrUjFLpJ177HRZJyw5I7bMTExGU9hd5elvs9h+L+6oNakNFIkVvrEzfPqo3aGlEt2TiCGJjO7rIxMBdhCntPI5IZhxp0FdXnlnZGtnRqdzOwdecGk244l2S6JNuw0fMm45php8lGo7BRSYsQ+1JrpUO3EbU/akU6TRW80aHOPlzahH6Gu9Sqk2vzYWfIikyxOV3pzuBNak2hUlAxMqVaQVvXIuluYNMmHg5F7aKdu/ZCznSmmkMbrvNcykqlP79OP4uln2E4qIV+tGFjaWJ2Xd3/MBOx9ANJX7oPUBHak3R05o3jTdX21EwmrXAocEMaaEX4nHMTQxvbcFQFHaqIUmfmDfxA0gcYImw0uR8vJlavNxDX8XqivPMrbf+uX/t0nvuSrc2AnzuFiCsy/NcG6gR3fJUQtOz+HG1L/J//tYaNTn8ab073GzRq0Na1tOHh+Bixcpu0FzKEnTZc51mUlUoN1ExGozPT6ehjXWd7ytK7o7TRFEmnEz7qTlnT3YBlbO9cs/1RhCZSZyN2F+CXtveZulVPO88h3gsB1+aGjLZhQ9IbCPXmxWyvJml9ovbHwNVjSzPyk4hiXF/pOr4vsJHtHHfNDUQme0c+fyFgRp1ZsaTbPIUGnaSfu0biYlebpiHnKxBFy7rD3uvkdDW6lo6LLZ27DaHQp9FwL0Qh3bOvK/lLo6asVPqgFmQ0JL2V2IO4hIkQx4/ZPnOabawMHElEpHRWCfs5rxTuml1+3osz/byvANap3Ly+CQyzObwQIQ+zCLCGpDWckR/Sko2DGLKIUhszcmAz23v2sP3VFAGVg6oz2RRMUffe0C/UdqGsTrQQck4EX5xGrNreT+yF1C0k1/RaOvtbbXg4oMFeiCZqID0DuE3S0K7zXMqg0p9jgQM8WUbjOKL2dF0+TWy6/SHZWIHQnKo9ILRk40TgO4SkN0Si3YmErlFdbpC0me1rUj82Ba7MaH8nUTK341Z5HpnuL03kh/ycSpg3GfkhbdigQRGlFI1zGLFquwX4qO3fZpwb+mum1S4lkLgnrXA6NVU+QES31eEPkl5qe1LAhUKSp3ZV0MRbmAg53yutzo/PtLGc7RMUJSouBS6VVLccQaNrsX1w+m4+H7jb9l8y+149Z8+9EOoPsE1rIA1NGVT607gEL7BQl6vqITJncC3ZWMF2VePpJEn7Z9rYFHiHpE5o5CrA7Z0oohob3cul13e+tJsAVyspQdecPe1ErJiahEW2YaNJEaVvEDeHywhpkiPJq24I8Ez1FoIUsX+Ww/uJ/YR/J25cFwLvrdn2Y8DpyR3X0XDbGHgHkWeSQ+OQcyYUEn6vUH/4HbByzbaNrkWReHkooWi8mqT3OomvDkGjvRDbl0raiTRxsf3jIfuRTRlU+jN0Cd4K50v6MZP3EXI1p9qw8SdJe1Rs7EZNGf8KTavZfaZhe2ghP6QlGx8iVpD/R6wAfwzULUj1DNudUOzDUqRPLpcCUyWNZrkC04QldwDotL1O0kuJGiZ7psM/J6Kfcvf92gg5/5xCsfkjxGC9NBEiPJAWruXDwItt/zFFa53CZC2zHBqlEaT9yxcTE51D0grskCH7knfuslE/NZKWIWQ0qgV/DrL950w7b2Zydu1ZA5q0bkPSKsDXgM2J2ehVxJ7KUPItaRZWq6bLFO1f74wsdk3Ikq9EuEiy80PasNHD5tOdhAMz2txBDOod39kphMKuUj+GGWSGJkX1vZs5N7dr16gZQZ9WJQaEP9WJZBtga//ugIZRoDmL6WUXdOvaCxk6jUDSrcB6tp9U1Cy6vEn4eg5lUCkMxTBfmCbt1Y7EeivS5snWFoS/fynbqyjqZ7zP9gdqtO0nkeE6kUptkiKE7iAGts8SJXhvt73fdPajF5J+bXuVcduoeZ4/EImbHXatPq458XlFv+dds1x1GwPcsJRBpQeaXO1xDmqGjXbL5s9+ivry+W3Y+Gq/54eZnSe7WWWV22yvqDa5FvHe3OmMUrFt2ZB0LbGxfG7nOtSChtY46PwvNKHptiiRRDmtg9sUfbvf9vPGbaPmeVqbtCR7Q6stS3oU6NQ5ErHpfzcMpZaQRdlT6c3mRALTqcC19A81nIoLCZ/o94HThnQztWHj/YR/9nRi03KYa+lFlghkD943TCNJ/wJ8ndgMFbEh+j7bP5pOGwC27++K/hqp+usI6Wxu/0URRv8AEco6N9DGrHdaZs65g0Y/JL2H2IMcVm35n9vqSy5lpdIDhdz9qwm/97pEEtOpOfkpyc4ziaieXQlf9WlE0aHahXaa2lCotO5MbO4/kdp/L3dfqIfdi5rMZCV9y/Y7hmh3B/B6p2qTimqUP7S9Vv+Wrds4k6iD/jVCqn1fohbKUBveuaToqBVt35Ue7wwskZ7+se0HM2y9hyjluy4RZr4U8Bnbx2TY6OwFVHmYKGX9dfdRXajsdc3xFPDOFlb1S9iuPYFuci1toRbUlsdFGVQGoMhq3Y3IK/isM0qCVmwsRNzUjyTKxWZl1rZoYyXiWg4A/s2TFWH7tevOJRGwBpF3MrB6ZA93ogiRvotS+xwNs8tsv7zyWMCl1WPTZGN5ou75tsT1XEAEPjRRtK6NpGOJm8xJ6fHdwI+IgeUJ2++fjn5U+nMEsAKTIxQfSP1Z2vbb+7Rt1W3UlCbX0mIfLgS277hlk7v2PNcoi5xe37h67bAU99cUpMHkdcRNeFUijj9LfDFt5u4GvIzIDH6j7cv7t2rfRrKzYbLzauLmU7suPHAv8AgRMtuRV7+c+i6wlQmxw+OJD7iIOPz/yuhDh59LOo9w55lYhf1MKWfD9QQyG9lIK9m32959iP5X7YjYFH+B7c+mCL1/clfy3RRswmQX4izbH0p2r6h5/gP6PZ85cdmga1D+QWfwltR3hT/dg0YNhr6WFmmktmx7q/S7cUG6XMqg0gOFfMg6xM33YNu3DmHjXuAvRPTHewnXU+fmXitstCUbBxOSFbcnO590Zr1u2ztIeiOhMHC47XMl/SNjj2djojbNp4GPOSRNHqsbydLF4oSkeCdK5o+EjM4bqC+Q2chGCtPckagM2ISjiIz+bYioq1mEG2qTfo0Si3iym6E6e35WzfMfTmRs/4gJyfthWUGVmiFpgFw+PZcdSDFmhrqWPm48IDso5pfpp8M56fe0DxK5FPdXDyQ9BXRyD4ZaOkq6pNK2MzvvUCtstCUbTxHJfh1Zj4697CgQhZrAIUSW7oa262Yqd9qvTNyIHwR2mI4wz1Eh6T+BZxJ7VLPzVOoM9BUb19vesBoJp5r1wxWaa6/tjghKLs4f1fm/KkQwdyWSWmcS7p4LPcRNIQU/HEMl+IGQe7kE2NvTkCfSFsNeS8WNtyWhX3ZaerwzMNP2h0fY7bmGMqjM56iFmhk9bK4HbJ6zkdvV/nXAlrY/ldGm8SywzZmkeuea1BroKzauJXTkfpYGlxWAC+qEWivUEfYjMsc7pWo3JFYfRzqzCFPFzbotsd+WnQmeXMZrwWxV3ZFvaI+KJteSPhuvcSr9m0K0L7D9yhptewUJzCZn/3FcFPfXfM6QYciTkLSq7XsrNm8Cbqo8L2AlT6F4LGkpV8oG2P4hEVE35Wt6MCP97jkLrHkpbdgAoM4NogZfJWqpPDutfN5C6G/VOf+3FarZnyMy4U1IinwmNzQ6DWYbAC8hyvEOW1ahqqq7rjIrDGpCSXsrwi1YW0m7T/QXAENsTDe5lucSbqpOhOZS6VgdOkKQbyLSCaplJu6taWOslJVKYSCKjOuFCL/uTGIPYnHCDfZK4FXAgbZ/MkX7Cwnf/TmEG+Bv6fgLUvu3Ase5hpR/k1lgyzY+D3zJSYlWIenzEdu1BoWKnbWI90+E66lpyWdUU5ZE0l5EZNPihOL16R6yTo9aqDAo6SeEjlpVa29327WVtCV9lojUOpl4T3cntNa+lGGj0bWk9/UgoogaxN7dQTkBCd0RilMdmxspg0qhFpLWJr6gWwLPIeTVbyeELc8c5B5IfupO+2WJhLs7iRXLCd17A33s3Em43jqlgJcBrnFG/H5LNuZQBFBNKQxNVH7siTPymKawX0uWJO233ULU/oCumX6Oq0XS7TSsMCjpRtvrDzo2wMa1tjcddGyAjTau5Z8IVW8Yrgjc7cDrbN+THq9GhBSPLamxLsX9NWI6kVpdPAzcVycKS3PWIb8dOD83givZGqr8LYDt24joraGwfR75ysq9+AITpYAhzQLHYGNhSU9zks9P7+3TaradSY/Ai/TY5Mu9d1M3iqsNF16HRqq6iTaUtJ+UtDsR6ehkI1fpYKhr6fFdvz/9fq6k5+YEcRCKx5coyglDuOKGUqGYbspKpQ8pb+GLwLOJL2p24pCka4gN1JtT+3XS38sB77d9QZ+2veqQb0B84GvVIa/YGrr87dxG01lgGzYkfZyohXIicfN6F6EDVtvNMirqrlRaPufFNFDVTTYaK2kr1I2PYKLC6ZXA/tU9wRo2hrqWyiRlcSKM/ibiO7su8Rnbqm4fkr1OsAAMWU54HJRBpQ+KLOU3NPFzS/oucIiTxEtyI32MCM39fr+lvdqtQz6TyIe4pBK+enNOSPHcQnJXvYjJMu1ZNURasrEdlYx6ZxZCarKK7bMxnS1L0gaaQl3X9VV1FyZqqTfN/WlMC9fyXeA/bd+SHq9DVPfcM7Mf6xABJdXPaFZU3zgog0ofJF1pe8uGNqb0Ew/yF0u6w1PoUUm6M3MP4Frbm3blRMxzg4pCp2o/Ikv/RkJ36+rMUN42bDydiUqFawJrEvkh/xjQtGqjexX7EmJ2pI5MzQAAIABJREFUO3AVOz8i6RLbWze0MfbaMC3tDR0IbE0MKucRLvArbL+lzb6OgtyStAsaMySdJmk3SW/q/GTauFPS0ZJekX6OAn6RlraDbkBt1iGfVP5WkbNRt/wtAJK2TDdTJO0h6b81IA+mq/3q6bqRtLWkfRWV/nLYj8g4vy9Fa21Afi30NmxcBiyuSDb8KbAXcFKmjXsJSZCNHQWU1if8+dsCY3ej1UFJEkbSLEmPVH5mSXok09yVkr4m6WWSNuz8ZNo4mXAPv5aojrkyoVQwkBav5XZJx6fP+CskHUfshebwFiIq8AHbexFF5eru2Y2VslHfn6WJm/drKsfqSoF02JPIxt2fmI1eAXyUGFAGbZS2WYe8Wv72VKL8bW550aOB9RTJjx8HTiBqrfctLFThe8DGkl6Y2p5LhJD+S0Yf/m7775JIG+V3pJVCDm3YkO1HFXXJj7T9JUk3DGw1mbVcUb62fZukDWzfI9Xda2+OGqjyul2NqS3S789WT0G4bevyQts7S9rR9jcldUo9D6TFa9kL+Fdi8gIxATk600ZnFfyEQpH6DzQP4JgWyqDShzRDaGrjMUI4sZd4Yr9kP2i3DvmjxKAydAQXoX5rhe7VEbZP0ACF2S6esv2EQkfsK7aPHOJG/Ju0ujkb+ImkPxN1YqbbhiRtToRJvzsdy/0+3SnpaCaqA+5C/VVsm9zDnKq8DxJK1McxWVesJ+odJj0rxx3odhJKG9eGaXotaRD+Ms204Wakz+hxRLTgX4nAgbmesqfSA0kfTzPPnrIedZOgkq0tiXDV51O56diellnHFLPQ2WRG51wKnE9EOr2McBndaPslNdtfC3yFGNjeYPtXalAtMW2oPpMIsR5KtHBYG5JeTqw4r7T9RUUi5/6Zn40liFXsVkysYo8C/g4s6f4KA62hPol2kn5u+8U1bNwLPA/4M3EtzyKiFv9A6GVNqVggaVNCrHR1Im/mXcMGx6h3bZj/sP31DBtDX0tq/yLgUObcZB/qO6+IaFvadncJirmSslLpTecDPaPvq+pxAhFzPpPMeHm1I03epuzDLkQd83fZfkARAnpYRvu9iEqU/5kGlNUq/amNpK2AF9k+USExshLwq2m2sWJ1QE4uq6ySBLYfSxOXC5goa9yZDU/LgJJoQ2H4fOCsTgScpNcQQpWnEwNlv+TD/yEG6MuIMO2vEHsi2dg+Pv15KcO7i5pcC8RgdiCxUnkl8bnP8mdKc5ZFkPRS1yuLMF5sl58R/hDx6cO2PbDy87uuxwdm2rqszrEadp4PbJv+XpKQwMhpvwSwZsP35AfAL9Lj5xKrhem2cX2dYwNsbA3cR9wALyMGtZeP4nM4oB//QmTVX0wo8d5H1BJ6OrH6qmNjxlTHiNVs7fcy931MbTYlIuf+ClxNZMQP+34MfS3pNTPT71sqxy7P7MPRxGB7e3q8DCE8Oq2fjWF+ykqlB4oSvp8EdiJ8zRBL33OALzjpPdXkYkmHEZv71USqgdm1tg+u9Gmn6uMhWEHSCzxZ9mGFAW0mIWlvoq7LsoSrYiVCIvxVNdvPTsAEVtNwCZhvJKK1rgew/TtJuRurQ9uQtD1xE15J0lcrTy1NqneTwX8RGmR3JttrEPsaG2XaaYTt85LLppcqb13J+v+V9G9M3h/6syL/5KkBbZ/VFZAy6bHrFV7rXu18mSFXOzS7FoC/Kyq13iXpg0TBrWdn9mFTp7IIALb/rKj+ONdTBpXenE6Uut3aKdNakYG9J3AGUT2xLp2l8saVY7kRLZ02TWhD9mEf4KXAtQC275KU82U5KLW/JLW/MQ1uOTxu25IMs/NFcmli43eEW3QHJisbzyLe4xwWdUUyx/YvFOKW46CRwjDhFj2QCH6A2B96G7AwIRjaj+6AlOrjutGWC3lC0PQMSZ+s0+kpaHItEJGeSwL7EhGW2wA5AS0A/0iDWOczugL1BrSxUwaV3qxq+4vVA2lw+YJCgbQ2bieipTG2z6/MRmE42Yf/s/14J9xVoUuWM9g9YfvhrnDZ3MHydElfJ2azexNBA8dNlw0n2X9J33FGZNMUzJB0AhOqvLuTKcHfBppClZcIF6/TfmGiBsuHpnjJ3f3au4UoS9pZ7TS+lnSunyVbCxEqAbXyZLoYuizCuCnRXz2QdAGR0PZN2w+mYysSK5VX2962ho09HDUvem62u8Ymu6RbmLjpvpCJD3Ttqo2StrF9kaZI2qz7ZUu2vkSUN34HkffyAeA227XClNMN9ELgE8CbiZncorbfX7cPyc6ridwhAT/2FJL7o7TRRoRPCh3eh4nor8uAo4YY7BuhdlR5L3KGIkHbSDqxz9N2RkZ902uRtDGxWd9xqT5MBLdkTRg0grII00EZVHqg0IX6BLAjE77QB4lkvS+6hjS5pPfZ/rpCbmEO6uyPqIWqjZIOtn3gFF+63C/bQkROxuybMXB83ZuRpCWJcOJq+0M8D1YIVGRfdyJ83kCK8LHd8//dx85ihMRLd/TXtKGol7Ov7aEVhiX9F6GldgaTyyvnJAo3RhXl6MqxZet8Zyuvb3Qtkm4G9rF9eXq8FTFZqDMJHGlZhOmgDCpzMZI2s33NuPsxN6D+Aop2DeXoNmxUbM20vZGkW5zydCRdbvtlGTa2Br5JhHaLyI14pzOFLZuidhSGG09aprA7xyAx4PU/BHZ0EuRMe6E/dMjg1LXR6FrUQzOw17Ep2v6KiTIIz2EiKbfzGZ3rs+rLnsoUpKXnSkTxpr9Vjm9n+/wMO6sRrqJVmZz8WOcLexQhOIikq21vXve8PfrxS+Aa4HIilPi2jLan235rlztuNoNmYJK+Ynt/TZGIWee9cEU6Qz0KZNWhDRsV2ojwmSuiv8ivJTMHbeyLSPpG9cYtaSki4rJWdGHibOBMSW8mBulziaiw2gx7LZrQKbsu7dmdSnzedyEFp9Q49+zAlRY+o2OhDCo9UEjL70MkQZ4gaT/b56SnP08kR9XlbCIB8gfkR29Ud7QXn/JV9VibiER7GXB4GjRvsv3GGm07GkavH/LcnY3ow/u+qj5tLK+b2mgjwmeuiP5yTUn3fqgddeDfSjra9r8mF/QPyQzCsH1ccimeTYpwtJ0rnDrstXRLMVVdocN83uZJN1IZVHqzN1Gv5K8KiYQzJa1q+wgyM2MJ8cKvDn5ZTxZKX66FKn/PPn+mf/VJQhfpSWJwe5DIvRmI7d+nqJgT6gQp9Gg/M7Xf2/Yeue3nRjoRPkSy3bCz9LFGf0m6wvZWPdyC2e5A4hruIHJDPktcS9bGsu3/kPRFSccQq7Uv2P5enbZdATEdV+KNwGbJjVxHfaLDUNcyt0R6jpsyqPRmYSfdJdv3Jt/3mWnjPHdQOSJt1l9AZvIjoUk1s3LOapvcsrOPELpK/w0cZzurTKvtJyU9KumZth/OaVtpv4KkxTyETle/cNFkf+Amaks2WtNSI5Rs9yFWO7OjvzLaN8LtKgwPrQ7c9X+4DviP9NuS3lRzg7z7Gs6a4ngdhr4WmB0p+nnguba3VxTm29z2CTXaVgfHZ3dHj2YOjmOhDCq9eUDS+rZvBEgrltcD3yAKKeXwEkLldRsm3F+1kh9tr5p5rn7sRoSufgB4j6SriL2VCzNs/B24RdJPmBwVU1dE8V6iZsa5Xe3rfFGmSo6D+glybdhoy4VH2oD+7/QzVtJKckUm7/v9OsNEE3XgbiXuG4BF0/Fa/5c60ZQZNFU6PokIKe6E2v8COI1wgw+iOggex3CD4lgp0V89kLQykag3R91ySVvavjLD1h3AusPMzkdB2kvZntgTeLbtJTLa9twzsP3Nmu2HDq+eW1BFeLGBjR2BlW3/T3p8LROSOf9m+4yG3cztz4cI//+DVCY+dUJgKzZ6qQN/xvYxLXd3UD/WIDbmV2XyAJlbGXToa5H0M9ubaHKV1azKj/MyZVAZMZJOAz5ku9b+xQj78T0ibPRuIgLsckLsMitHRCHXvkp1g3mIvjy9GlE3LyHpetudiLzv2X7zEDauBHa1fX96fCMR4fR04ETbOdFOjZF0N6E1leUSHUE/VgaOBLYkVihXAPvZ/k2GjZsIPbpJquDOTDxsgqRLiOTenzj0uzYj8tvqFrObpynur9GzInCHpJ8xZA5AS3yBUH/Nkt+vooaCkIqiVicQM79VFBUk32f7A8P2aQxU99SGzRlYrDOgJK5IN/SHNJyWWVPuJ7K+h0ahDvBm5lwhfHaqNj04kagEunN6vEc6lqO194Tt3CqLk2jhWg4gQplXTxOIFQiZlQWCMqiMnqwM66lo6vO2/TNJ66RNw2qYZI5o4EE0E4Ts1Mk4N7W/SVHsalrplVCXkWTnKf7OYZlJBu0PVh5mKUc3obIJfA8hNvpDJk98cvZ6ziEGpplVG5msYLuaeHiSpP0zbfxA0geIjfrqteRESja6FtvXK4q/rUlMQsailDAuyqAyYlrKAejp8yZ8vnVtHEjU71gbOI/YV7mCmqKBicaCkLbv72qfW7hsZ6JK4yxJ/04kh36uZjRdh6tTu0HHerGepEeIm8US6W/IC8O9VtLetiflYEh6H9NbMrazCfzr9LNY+hmGlW1v17A/f5K0BxNljXcDcl1ynX2/j1WO5UZKNroWhRzRAcDzbe8t6UWS1rT9/2q0baMw31gpg8qISf7UI4F/Jr6wCwN/y8wB2I8obNXE5/0WYD3gBtt7pbDH4we06eZWSW8DFlYIKu4L5CSW3S9pCyJUdLHUPlck7z9sn6HQU3ot4Y47msHV+DqSHSsRg8EGTLiyliYSGQdie+HM/vbiw8DZ6b3sDIYbAU8javhMC70CJBQqAUvZfqRHk35cJekltm9p0KV3AV9jorb7lelYbVzJSG9A02s5kVjldBQwfkPoiA0cVJgY6NcENiGt6olIuGmV7xmWslE/YiTNAHYlPlQbEwq/L7L9qQwbFxPqyLlFoKo2rrP9UkkziRKns4BbXaP+eMVGVRASJgQha7kIJC0PHAFsS9zQLyCEDHPE/m6wvYGkQ4nKet9RTTmLFL22J/F/+BkTg8ojhCL1dIsfbkNkbQP83PZF03n+Sj++Q5R5fpK4GT4T+G/bA0tFa0K6ZxFChPEewmVUW0m7DdSCGndb1yJphu2Nu6K/brK9Xs3LQaGU/mYn2XxFEbkzWlgNjpyyUpkGbN8taeG0SX5iyhHJoQ2f9wxJzyJi32cSmeC5rpbXOWTuZ0vdJ3dU3RDYNW3vXj0gaUtiRlqX3yp0lbYFvpg2VReq0zAlsp0M7Gb7lIxzjoQ0iIxlIOlibduPSNqdcI3+G/EZGTioMLx0zxw0jP56BfFedue8QP0cpLau5fEUJdkpsLU6+XszqwDVNITHycuVGRtlUBk9jyZXz42KeiS/J0JHc2jk81ZsYhzqKIN8jKTzgaVt35xp6pPMOYD0OjYVRzLnvkWvY/14K7AdcLjtv0h6DpP9532x/VTauxj7oDIXsahCc2wn4Gu2/6FUFbMGzwaWt/2j6sEUKfg7ot59XYaO/nIqOeBmwpZtXcuBhD7g8ySdQgySe2b25WRCmPIsYnB6I3n7n2OjuL9GjELa5UFiMPgw4Vo4yvbACnIt92OmM+S/u9p26rK/lcgM7rA0Mct96YD2mwNbEAmXX648tTTwxjpuAbVYZ0LSfwCPEddSzeyf62tVjAKFgOq/ATcBryNmyd92DRn/lJOxp+17u46/EDg2M+lwjgTB3KTBJuHAbVxLmsCtDDwKbEa4zq6x/ae611CxtSEhAAuhfnFDro1xUFYqI8YThbT+DmRljqsFyfgK10jaxBNCiDk0rcu+GJGbsgiTZSceoX78/kwm6kysAvw5/f0sYhWXs0Hb2fzdp3IsN0JovsEheFoVPb1PUl1xxOW6b8LJ5t2SlsvsShvRX03CgRtfi21LOjtN4H6Yef5ulgQesX2iQjdvNdu/amhz5JRBZUSovxTHx22fWcNMm5LxrwTeJ+k+YnZee/PRE3XZV3SXJIuk/YjN937tLwUulfSY7S91td8ZuKtGH1ZLrz8GONf2eenx9sT+Sm1aihCar5D0Orqk3gmF3kH0k/nJdfM2jv6iWThwW9fSZAIHzE4B2JiIAjuR0EL7NuFKm6sp7q8RoblPiqNnaWLXKElcsTFboqRyrHYhoSnaz3FsgI053HidaJsMG4sSCsGdxMtLgK8vSAlqVdJAvSQx8TieWD1eZ/vdNds+BPy7KzcTSQcDz7H93tH0esr+HAscOUw4cFvXIuk2YA1iDyZrAlexcSOwAaGC0Ykgu3m6oumaUFYqo6OxFIek64molVNt/7Jhfz5n++1d9k8mFJQH9WM34G2ENMu5laeeQQ33RGVPZiVJVTfL0kBumPSfFEmP3yZcVnvU6UMXRxMzv47M/NvTsfdk2plf2ML2uummdbCiRnvd8OqPEAPR3elGCJEPNYPM91PSC4hV72bE//Zq4MO276nR9lYiMXgRYC9Jw4QDt3Ut22e8dioeT660TgTZOOR7hqIMKqOjDSmOZYg9g4slPUD4mk+z/bv+zXoyKR9FIftSd+P+KiJqbXkmV7ebBdSJIGu6J1NlNyK6plMv47J0LIdNuoIDLlIIES6oPJZ+PyrpucQgXctF6BAG3S0NCNWcm4EDQQ++A/wPEekEkd91KjUSW4mk1kYqwG1dS2f1L+nZDF+x9fQUOv8sSXsTbsCsKphjw3b5GcEPEbK6d4/j7yNWHnVsXF/5+2XEzPoB4GLgvTVtfJK4eT9BbIw/kh4/RIQZT+d7smiLtpYmMr+HaXs9sHrl8Quq7/WC9kMUxXoWETX1ADGB+OwY+nFtj2PX1P2fjvt9rPRlB2Kf8G/Ar4gV1M+HsPNqIlfocCL5eezXVuen7KmMiDRLOZtYgs8hxWH7wRo2eu1BLEx82HZxRky+pENtf7Lu66ew0UhyRiHtciihP1YVtawddSXpJUS8fifE+E/AO23fmmHjVcTm5z2Ee+T5wF62L65rY34lheQu7iGqezY4Z+d/+XHgL8B3CffXLsDTbB9Sw8Zv6FPszNOomZVWvdsAP3WoP7ySSLituyezMPBjD1G6e26guL9GhKN+yhaaLMXxQ+dJcfyih90nicSq8+sYSLHuAGdU/q7ayxFi/BpzSs68MKP9iYTr6svEpvBekF2e+evAAZ0BQFHq+VgiD6YWti9MA1xHRfYO15SamZ9IN78rCPfmlbbvTe/DdL8X1XBxiNV8BwMDBxVigrMU+Z+nUfAP2w9JWkjSQrYvlvTFuo3dsHT3uCkrlfkchW7YVNh5yWkdTaPZUSiSrrJd64beidySdIvtl6Rjl7tGkl3FxhwaSr2ODbCxOFFWeSvipnU5cIwzC5bN6yhK5W5R+Xk6McBcBVxl+9oMW72SU2d5miLqcqMIp7CxCb0z6ncAfuuahb4k/ZRQJziU2If8A7GPV3viI+l0ImBh2NLdY6OsVOZyFOV/VyL8zX+tHN/O9sDViu26SWx1aCo583eFCu5dkj4I/JaQxsjhHkVGfCeHZw/Cb53Dt4h9pSPT492SvZ2nbDEfklyGtxIrvY7g566E8sHhxOy/LtcDz2NyUurvJf2B2FsceEOWtA9wikNOCEnLEG6jo/q3jOYZfZ2Kw+gtp3Ib8R7VnYDtSCQ7fxjYnVDRyClWBpE42TR5ciyUlcpcjEI+Yx9CHn59QlzvnPRcrZmZ5lRtNbEPcaOTAmpGfxpJzqSZ4O3EDeeQ1P5Ltq/J6MMyhDLBVsSN5DLgINt/zrDReLUzP5B89xsQq5QtgdWJgf5q4Gpn1AJKOR5n2f5xevwaQqPtdOAI23VKE/SSaamrQL2sG8rsVFfQPZ4b+PmQ9DXgO7ZzBWPnK8pKZURIeqe7ss/T8UWBb9muEwa7N7CR7b9KWhU4U9Kqto+g/sysl2rrssC6kt6ds8fjBpIzqX0nw/ivxH5KNmnw2FfSM4GncgfGxA2SNusMZpI2JU8peX7hEWKQ/x/gE24mAbKx7fd3Hti+QNLnbR+QNv/rsJAkOc1006BXS0C16YCSaJpRfxfwXwqR09OIKM8bB7SZhKTTbb9VEzL8k/A8kPxYViojIiUuHmP72MqxpxMRYb92vWzl22yvXXm8FHAmsRzfpntWl9m/5wOn15xBvoiQu/9fIsLmOCLE+ZfAezxAjiK5VfYhXCPfINwMnfYfqbvSSbY2STY6GmIPA++q6+9ONm4nNuk75ZhXIW6uTzGNNUDGTUpq3ZyISnySqDHTWaX8NtPWBcCFROQWROTWq4nVys9qrqoPI4QgjyFuqO8H7rf9kZy+DIvay6h/PuFG3JWIcjwV+K7tOQJverR9ju3fqwUFjHFRBpURkTYuzyfUXr8qaQWiVsWFtj9R08ZFRKTTjZVjixA31d3dsAphhgutU3Z4acLttT/wA2Jg+NyggSndcGYQA0EnnLfTfnfbW2f0+WZgH9uXp8dbES64HAmMnl/YDvPCF7dtFAXYXsqETPtitvu+T13tlyci+zpuySuI1ezDwCp1Jg5pv+19xGekU8Tt+BTxOHLSpO944n3ofOfWJwbb91T3NDNsbkB8X9et832VtD+xar7BDYryjZMyqIwQSUsDPyKii3YEjnYowtZtvzJRF/6BHs9taXtol42kNYGTbG9e47Wzfd2S7rb9wl7P9Wl/k+31JAm4z/YqOe27bF1pe8tBx6ZouyQR7vmP9HhNQj7mPk9z1ce5hXQj3ZSJfZVNgPuJEOMP9ms7v6KGGfXJxb0dsVJ5FXAp4Qo7u0bbw4n/xVqEWsVVxCBzdUsuvpFTBpURUdkgfwbhMqq6Bpium5h6y+YvCzwH2MP21TVszF7RdK9u6qx2mrbvsvVlQvzwVCYS5P4MfA/6591Iugx4t+27FDUyriOUD9YmBBQbJYfOa0i6gXD9ddxeVxIZ7MPMyNcAPsqcdUxyQtYbJ8e2jaSDbB9U87WvJiIJX0d8tr4LnO2Qf8k972JELtgWhItyc+AvVXf43EoZVEaEpBP7PG3buZLew/bjFd3nJvzGd9l+vEeTXjYeBe4mXBKrp79Jj19gu+8mpqS/EFFaIlxel1Xab2V7mana9rA1dN6NJufHHAIsa3uf9AWeOVXkz/yKpHWBW9zCTUCRSHkMkcg4212Vudd1BRPJsW8gJcc6VXUcBzmTnvTZ/A7wvRYi0Z5JDCRbpt/PIv5XTSpbTgtlUCkMpOkeRI+Brbt9rdDV5HN/i+3T67y+R/tq0uaVwGEdl8SCGFLcJmpQWbTbhhokx7ZN3ZDmFs93LOF6mwVcC1xDrB5rh8yPmxJSPI1IuijHHTC30HTjuu6gUcPOU4qkyaEGFeDm5LP+LSEvcwGApGe10b8FnB9I+gChHj1b5iVzxt5GcmzbNBooh2AVQh/wLuL6f0Pooc0zlJXKiEhRSpMOEYV77oR5I958bkQN6stLWgLYj9hP+oajoiWStiBUi0/u174wNZJ65bg4Zz9ELSTHNkEh39PZo/sBIXDZCX0/xEPUmR+yHyJWKx35nHWIcP6rx+kKrEsZVEaEopjVI8DniJugiCiwrWDBDFttgzZuXoUgRSeuaPuu9HhnJhIAf+waStrzEwq9rX8QiY7LEBI2PyC+s+vbfv0092dlYk9lC+D1wHK25/pVdRlURoikNxJ5HYfbPlfSPeO6+UnaEjiIkHlfBGZXxBu6P5KeR5RMPmzI9osDb7B9xrB9yDxfzyzlDgva6jH576+yfVJ6fDcRAr8EEcr+/j7NOza2sX2R5pQDAupFOWpyNdFeNnYYZKMNJN1qe52UC/Yb2/9UeW5a9twU0kyd8O5/kMKJ0+9bbD816j40peypjBDbZ6XEv0MkvYeakhMj4gRigJsUnZNLSnLbmQidXImJCox12y8MvCa1fy2xehs4qLRx8yJmexDZ/TAhSrk78GiN9vMbmzBZZn6W7Q/B7EisOrwCuIjeckCmXlnizYncmFOJzelxydc/DmD7CUnd1VWnJQGTCMk+kyij/PtpOmerlJXKNCFpPWBz28eM6fzXDsp879P2GUSJ17cR+0JnEUXCVs6w8fLUvhPDvyURjlzrZi7pYNsHThGqnRWi3SSBcn5CXQKKktZxKnbWmbVPUz86hed2A9Yl1HlPtf3z6Th/pR9/IHJLROytdPLKBLzV9orT2Z95lTKoLCBI+gIhZf59JkfnDCzSJekxYiD4d+AK285x5Smq8v0aOJpIBpsl6Ve2a9VBr2F/xRz/v6QbgQ/aviI93oKQemlU43xeI+WWvNZdig2SVgJ+lOMOVIhGvpk5kx+zJN+Tnd0IfbjP2j5yQJPWkPTOfs+7h0BsYU6K+2vBobNK2bhyzNSrEfEpQnLiaOA7kk7LPPf3iKJFuwBPSjqHPnsbdUjJYW8mVj//TLji6vJu4BvJBkTI5rQko85lHEaEAn8EuCEd25CopXJ4pq1zCJ2vmQxROTINJq8jBpRVga9Sz3XWGr0GDUWphb+0kSC6oFBWKoXaJE2k3YgB5kVE9vNZrqe+KqKE8G6E3tbSxM39vLqyICkkeAdiINmQkMDZCbhsmA3MFP0kz4MlW9tC0nbEpOHFxED/c+AL7qp+WMPO0O4ySd8kwmZ/RKj53jqMnaZI+gyh3H1HGuR+RAhKPgG8zfZPx9GveY0yqEwDyWe8IpPdAr+eukWr597D9rclHdDredv/PaTdlxADxC62V89suyiwPTE4vcb28jXanAK8nEhY/C6xOXz3MC60tlw18zOS9rf9lYzXHwscafuWIc71FBM5R9UbUidCcelcm8Mg6efAOsm9+17i870tsY/4TdsvnY5+zOsU99eIkfQhYkb/IFGvA+KLM13hqx1drmf0fVUmtm9J7qPsuHmHSvC5aW/jjprN1iGS0m4H7rD9pKRhZ0SNXDULCAcAtQcVIpdjz5RH9H9MDAgDP+e2Fxqui63zeMXN9Vpi1fQkcHsKMy7UoLxRo2c/YE3bD43j5LbuRzokAAALmElEQVS/nn5nV2rshaT1CffTW4na8N/LbD9USLJDOn+tdO6fpkidZ0j6p+6N5hqsbHu7zDYLGrlhvduPpBfTy/9JWoeYAL6SUF3usOR4ujTvUQaV0XM/MSuea5D0C9trZLx+DcJVtRuhcHwa4Tp9Zc32vUKSX5ATkgxg+w7gM8BnJG2c+nOdpN/Y3iLD1FWSXjKMq2YBIncV+Dnbb68ekHQy8PYpXj83sj+RI7IC8GWn8sqS/oWJQIbCAMqeyoiRdAJRuvaHTA7lHWovY4jzzyJuENWZ55JEsl8tf3XyeV9O1CK5Ox3LCSluFJI8wLaAlztDtFLSbYSgZLarZn6i8tmY4ylgCdu1J52as07OwkQG+Fxf/6PQLmWlMnp+nX4WYzwZ9ScRwnwf6+RyDJEj8mZipXKxpPOZSBCrS9OQ5ClJPvBcFeT5wVXTGNuN99kkfZL4/y4h6ZHOYSI7/dim9qeTHsEsBv5ETIR6ac4VelBWKgsAkjYichLOBr5GRE1lrxIUpWd3ItxO2wDfJEKKL6jZfuiQ5DaRtEqv49MVkTc/IulQz+OVMyX1UgBelti0P8j2d3s8X+iiDCojQtJXbO+v3uV8p00kr9KfhYAPEpvkq9t+bkN7yyZbu3iIGjFNQpKbUhGWFFG2djXgTtsv7tuw0JeUid8RLAXA9mVTt5g3SJ/1nzqj7PWCTHF/jY6OWGFuZvJISMmBX5V0BtC4kp2jfsnX088w7YcKSZa0IvB54Lm2t5e0NqGpdkLGuSeVDZa0IZOFFQuZJBmgXYHbmBBfNBOlo+dZbP9v2rsr1KAMKiPCqTZ3zgbyqJD00uiKf0bUiVhLErbPG0NfGoUkE3tEJwKfTo9/QUSj1R5UurF9vaJAVGF43kiEzs93eT+StiFypAo1KIPKiJB0PaFddKrtX46xHwcSG9OLSPoJoQF2CfAJSRvY/s9p6EOjkOQulrd9etog7siUZ8mSd23ILkRIvvxxiL4UJrgHWJR5OJlUvevtLAv8DnjH9Pdo3qQMKqNjGcK1c7GkB4haEafZ7q7TMGreQugXPQ14gEj8e0TSYUTtipEPKkTW/OVEQa5OSPKHh7T1N0nLkb78kjYjPw+oGvX0BBHunbtiKgCSjiT+F48CN0q6kMmh8/uOq29D0F3Z0cBDtv/W68WF3pRBZXT82fZHgY9KehkxS79e0u3E6mW6wi2fSFITj0r6pe1HAGw/lvJPpoOmIclVDgDOBVaXdCWRqPaWHAMddYGUlOm6gpaFnsxIv2cS/5d5FpcS361Qor9GRHcyWDrWKUa0i+29pqkf1wKvtP2opIU6ar5pk/zi6YxoaRqSXLGzCJFQKiJq6x+Z7dchAimWTYf+BLxzXOq4hcL8RBlURoSk79redS7ox9N6bZ4mDa7njEuqJDckWVOUEe7geuWEO7auAj5t++L0eGvg85lSL4UKU+xHPEysZD43Lu27wvRTBpXCPIF6lxHuYOeVE77J9nqDjhXqI+lLRCjxd9KhXYmV5MPAVrZ71bAvzIeUQWWEJFXdlYBrq357SdvZPn98PVuwkXQWcD0TuUR7ABvb3ml8vZq3kXSl7S17HZN0S3duUGH+ZW6pYzDfIWlfom7Hh4BbJe1Yefrz4+nVvI+k5SR9VdL1kmZKOiJFg+XwLmKD//uEYvIKwLTscc3HLCWpU7K6kxu1VHr4xHi6VBgHZaUyIpKPeXPbf5W0KiGpfbLtIyTdYLtxVvuCSMq1uQz4djq0O7C17W2HtFdqkLdASh79BjGQCHgEeA9Rnvh1tk8fY/cK00gZVEaEpNuqst+SliIGltuAbWyvP7bOzcNImml7o65jM2xvXKNtrxrk6xF7AaUGeQukqELZ/su4+1IYDyVPZXQ8IGl92zcCpBXL64nZXPEvD8/FknYFOjPftxDJi3XYBTgk/f1Owv37bFINcqAMKplI2sP2t7tl4ztSWdNVN6gw91AGldHxDrp8ybafAN4haSgRxgIQwo8HMOH+WojIsj+AwUXHumuQn+pSg7wpT0+/e9VmKW6QBZDi/iosMEi6hvDzPwjcCWzkiZKxd9hea5z9m9+QtL/tr4y7H4XppczOCvMcKRFyK2ImfLnts2s23Y9Sg3w6OQAog8oCRlmpFOYpJB1F1Jc/NR3aBfil7X3G16tCLyTdb/t54+5HYXopK5XCvMYrgHU6eyOSvgmMRWqmMJAyY10AKYNKYV7jTmAVoKMo+zzg5vF1Z8FG0ix6Dx4Clpjm7hTmAor7qzBPIelSYBPgunRoE+Aa4G8AtncYU9cKhQJlpVKY9/hMUwOSlgQ+Aqxie29JLyJK4f6/xr0rFBZwykqlME8jaUsiG772Rr2k04iiUu+wvY6kJYCri8pBodCcIihZmOeQtL6kL0m6F/gccHumidVtfwn4B0QVTIavRFkoFCoU91dhnkDSGkSNjt2Ah4DTiJX2K4cw93hanXQiyFanUle9UCgMTxlUCvMKdwCXA2+wfTeApA8PaetA4HzgeZJOAbYE9myjk4XCgk7ZUynME0h6I7FS2YIYEL4LHG97tSHtLQdsRri9rrH9p7b6WigsyJRBpTBPIenpwE6EG2wbQl34LNsXZNjYErjR9t8k7QFsCBxh+74BTQuFwgDKoFKYZ5G0LLAzsIvtbTLa3UzUUVkX+BZRjuBNtl8xko4WCgsQZVApLHBIut72hqlo129tn9A5Nu6+FQrzOmWjvrAgMkvSJ4G3Ay+TtDCw6Jj7VCjMF5Q8lcKCyC5ECPG7bD8ArAQcNt4uFQrzB8X9VVggkbQioRsGcJ3tP4yzP4XC/EJZqRQWOCS9lRCk3Bl4K3CtpLeMt1eFwvxBWakUFjgk3QS8urM6kbQC8FPb6423Z4XCvE9ZqRQWRBbqcnc9RPkuFAqtUKK/Cgsi50v6MZNLEp83xv4UCvMNxf1VWCCR9CZgK0Km5TLbZ425S4XCfEEZVAoLNJKWBx5y+SIUCq1Q/MiFBQZJm0m6RNL3JW0g6VbgVuBBSduNu3+FwvxAWakUFhgkzQA+BTwTOBbY3vY1ktYCTrW9wVg7WCjMB5SVSmFBYhHbF9g+A3jA9jUAtu8Yc78KhfmGMqgUFiSeqvz9WNdzZcleKLRAcX8VFhgkPQn8jYj4WgJ4tPMUsLjtIipZKDSkDCqFQqFQaI3i/ioUCoVCa5RBpVAoFAqtUQaVQqFQKLRGGVQKhSGQ9KSkGyXdKukMSUs2sLWnpK81aPvcYc9dKLRNGVQKheF4zPb6ttcBHgfeX31SwXR8v/YEyqBSmGsog0qh0JzLgRdKWlXS7ZKOAq4HnidpN0m3pBXNFzsNJO0l6ReSLgW2rBw/qVowTNJfK39/PNm6SdIX0us2Bk5Jq6Yl0vHbJN0s6fDpuPhCoUqRvi8UGiBpEWB74Px0aE1gL9sfSG6pLwIbAX8GLpC0E3AtcHA6/jBwMXDDgPNsD+wEbGr7UUnL2v5fSR8EPmp7hqRlgTcCa9m2pGe1fsGFwgDKSqVQGI4lJN0IzAB+DZyQjt/XkX8BNgEusf1H208ApwAvBzatHH8cOK3G+bYFTrT9KIDt/+3xmkeAvwPHJ2n/R3u8plAYKWWlUigMx2O2168ekASRsT/7UJ/2U2UdP0Ga7CkMLlax1TdT2fYTkl4KvArYFfggsE2/NoVC25SVSqEwOq4FXiFpeUkLA7sBl6bjW0taTtKiwM6VNvcSbjGAHYGOdMwFwLs6UWbJ1QUwC3hGOrYU8Ezb5wH7A5MGvUJhOigrlUJhRNj+vaRPEnsmAs6zfQ6ApIOAq4HfE5v6C6dmxwHnSLoOuJC08rF9vqT1gRmSHifKH38KOAk4RtJjxN7OOZIWT+f78HRcZ6FQpWh/FQqFQqE1ivurUCgUCq1RBpVCoVAotEYZVAqFQqHQGmVQKRQKhUJrlEGlUCgUCq1RBpVCoVAotEYZVAqFQqHQGmVQKRQKhUJr/H+6KMTK4LbwUQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "product_ordered = df.groupby('Product')\n",
    "\n",
    "quantity = product_ordered.sum()['Quantity Ordered']\n",
    "\n",
    "products = [product for product, df2 in product_ordered]\n",
    "\n",
    "plt.plot (products, quantity)\n",
    "plt.xticks(products, rotation = 'vertical')\n",
    "plt.xlabel('Products')\n",
    "plt.ylabel('Quantity')\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "price = df.groupby('Product').mean()['Price Each']\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax1.bar(products, quantity)\n",
    "ax2.plot(products, price, 'b-')\n",
    "\n",
    "ax1.set_xlabel('Product Name')\n",
    "ax1.set_ylabel('Quantity', color='g')\n",
    "ax2.set_ylabel('Price in USD', color='b')\n",
    "ax1.set_xticklabels(products, rotation='vertical',size=8)\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}