Online_Retail_Store.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EDA on Online Retail Store dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "analysis performed by Shubham Rawat (https://github.com/shubham8456)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dataset taken from UCI's Online Machine Learning Repository\n",
    "https://archive.ics.uci.edu/ml/datasets/Online+Retail\n",
    "\n",
    "Data Set Information:\n",
    "This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail.The company mainly sells unique all-occasion gifts. Many customers of the company are wholesalers.\n",
    "\n",
    "\n",
    "Attribute Information:\n",
    "InvoiceNo: Invoice number. Nominal, a 6-digit integral number uniquely assigned to each transaction. If this code starts with letter 'c', it indicates a cancellation. \n",
    "StockCode: Product (item) code. Nominal, a 5-digit integral number uniquely assigned to each distinct product. \n",
    "Description: Product (item) name. Nominal. \n",
    "Quantity: The quantities of each product (item) per transaction. Numeric.\t\n",
    "InvoiceDate: Invice Date and time. Numeric, the day and time when each transaction was generated. \n",
    "UnitPrice: Unit price. Numeric, Product price per unit in sterling. \n",
    "CustomerID: Customer number. Nominal, a 5-digit integral number uniquely assigned to each customer. \n",
    "Country: Country name. Nominal, the name of the country where each customer resides."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import datetime as dt\n",
    "import matplotlib.gridspec as gridspec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# reading data from csv file\n",
    "\n",
    "df = pd.read_csv('online_retail.csv', encoding='ISO-8859-1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>12/1/2010 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1    536365     71053                  WHITE METAL LANTERN         6   \n",
       "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "      InvoiceDate  UnitPrice  CustomerID         Country  \n",
       "0  12/1/2010 8:26       2.55     17850.0  United Kingdom  \n",
       "1  12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
       "2  12/1/2010 8:26       2.75     17850.0  United Kingdom  \n",
       "3  12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
       "4  12/1/2010 8:26       3.39     17850.0  United Kingdom  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 541909 entries, 0 to 541908\n",
      "Data columns (total 8 columns):\n",
      "InvoiceNo      541909 non-null object\n",
      "StockCode      541909 non-null object\n",
      "Description    540455 non-null object\n",
      "Quantity       541909 non-null int64\n",
      "InvoiceDate    541909 non-null object\n",
      "UnitPrice      541909 non-null float64\n",
      "CustomerID     406829 non-null float64\n",
      "Country        541909 non-null object\n",
      "dtypes: float64(2), int64(1), object(5)\n",
      "memory usage: 33.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "InvoiceNo           0\n",
       "StockCode           0\n",
       "Description      1454\n",
       "Quantity            0\n",
       "InvoiceDate         0\n",
       "UnitPrice           0\n",
       "CustomerID     135080\n",
       "Country             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking for nan values\n",
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dropping nan values from the dataset\n",
    "df = df.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking if there are any missing values left\n",
    "df.isna().sum().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5225"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking for duplicate rows in the dataset\n",
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dropping duplicate rows\n",
    "df = df.drop_duplicates().reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking if any duplicates are left\n",
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Quantity</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>count</td>\n",
       "      <td>401604.000000</td>\n",
       "      <td>401604.000000</td>\n",
       "      <td>401604.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mean</td>\n",
       "      <td>12.183273</td>\n",
       "      <td>3.474064</td>\n",
       "      <td>15281.160818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>std</td>\n",
       "      <td>250.283037</td>\n",
       "      <td>69.764035</td>\n",
       "      <td>1714.006089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>min</td>\n",
       "      <td>-80995.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12346.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25%</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>13939.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50%</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.950000</td>\n",
       "      <td>15145.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75%</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>3.750000</td>\n",
       "      <td>16784.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>max</td>\n",
       "      <td>80995.000000</td>\n",
       "      <td>38970.000000</td>\n",
       "      <td>18287.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Quantity      UnitPrice     CustomerID\n",
       "count  401604.000000  401604.000000  401604.000000\n",
       "mean       12.183273       3.474064   15281.160818\n",
       "std       250.283037      69.764035    1714.006089\n",
       "min    -80995.000000       0.000000   12346.000000\n",
       "25%         2.000000       1.250000   13939.000000\n",
       "50%         5.000000       1.950000   15145.000000\n",
       "75%        12.000000       3.750000   16784.000000\n",
       "max     80995.000000   38970.000000   18287.000000"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can observe that the minimum value in quantity is negative, and also Unit Price's minimum value is 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# removing rows where values of 'Quantity' and 'UnitPrice' is less than 0\n",
    "\n",
    "df = df[(df['Quantity']>0) & (df['UnitPrice']>0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(392692, 8)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking the final shape of our dataset to start processing on it\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking the data type of 'InovoiceDate' column\n",
    "type(df.InvoiceDate[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('<M8[ns]')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Converting 'InvoiceDate' string objects to pandas datetime type\n",
    "\n",
    "df.InvoiceDate = pd.to_datetime(df.InvoiceDate)\n",
    "df.InvoiceDate.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Converting CustomerID to int\n",
    "\n",
    "df.CustomerID = df.CustomerID.apply(lambda x : int(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "      <th>Amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>401599</td>\n",
       "      <td>581587</td>\n",
       "      <td>22613</td>\n",
       "      <td>PACK OF 20 SPACEBOY NAPKINS</td>\n",
       "      <td>12</td>\n",
       "      <td>2011-12-09 12:50:00</td>\n",
       "      <td>0.85</td>\n",
       "      <td>12680</td>\n",
       "      <td>France</td>\n",
       "      <td>10.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>401600</td>\n",
       "      <td>581587</td>\n",
       "      <td>22899</td>\n",
       "      <td>CHILDREN'S APRON DOLLY GIRL</td>\n",
       "      <td>6</td>\n",
       "      <td>2011-12-09 12:50:00</td>\n",
       "      <td>2.10</td>\n",
       "      <td>12680</td>\n",
       "      <td>France</td>\n",
       "      <td>12.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>401601</td>\n",
       "      <td>581587</td>\n",
       "      <td>23254</td>\n",
       "      <td>CHILDRENS CUTLERY DOLLY GIRL</td>\n",
       "      <td>4</td>\n",
       "      <td>2011-12-09 12:50:00</td>\n",
       "      <td>4.15</td>\n",
       "      <td>12680</td>\n",
       "      <td>France</td>\n",
       "      <td>16.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>401602</td>\n",
       "      <td>581587</td>\n",
       "      <td>23255</td>\n",
       "      <td>CHILDRENS CUTLERY CIRCUS PARADE</td>\n",
       "      <td>4</td>\n",
       "      <td>2011-12-09 12:50:00</td>\n",
       "      <td>4.15</td>\n",
       "      <td>12680</td>\n",
       "      <td>France</td>\n",
       "      <td>16.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>401603</td>\n",
       "      <td>581587</td>\n",
       "      <td>22138</td>\n",
       "      <td>BAKING SET 9 PIECE RETROSPOT</td>\n",
       "      <td>3</td>\n",
       "      <td>2011-12-09 12:50:00</td>\n",
       "      <td>4.95</td>\n",
       "      <td>12680</td>\n",
       "      <td>France</td>\n",
       "      <td>14.85</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       InvoiceNo StockCode                      Description  Quantity  \\\n",
       "401599    581587     22613      PACK OF 20 SPACEBOY NAPKINS        12   \n",
       "401600    581587     22899     CHILDREN'S APRON DOLLY GIRL          6   \n",
       "401601    581587     23254    CHILDRENS CUTLERY DOLLY GIRL          4   \n",
       "401602    581587     23255  CHILDRENS CUTLERY CIRCUS PARADE         4   \n",
       "401603    581587     22138    BAKING SET 9 PIECE RETROSPOT          3   \n",
       "\n",
       "               InvoiceDate  UnitPrice  CustomerID Country  Amount  \n",
       "401599 2011-12-09 12:50:00       0.85       12680  France   10.20  \n",
       "401600 2011-12-09 12:50:00       2.10       12680  France   12.60  \n",
       "401601 2011-12-09 12:50:00       4.15       12680  France   16.60  \n",
       "401602 2011-12-09 12:50:00       4.15       12680  France   16.60  \n",
       "401603 2011-12-09 12:50:00       4.95       12680  France   14.85  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# calculating 'Amount' column by multiplying  'Quantity' and 'UnitPrice'\n",
    "\n",
    "df['Amount'] = df.Quantity * df.UnitPrice\n",
    "df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# insights from the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latest entry is on: 2011-12-09 12:50:00\n",
      "Oldest entry is from: 2010-12-01 08:26:00\n"
     ]
    }
   ],
   "source": [
    "# checking for the oldest and latest entry in our dataset\n",
    "\n",
    "print('Latest entry is on:', df.InvoiceDate.max())\n",
    "print('Oldest entry is from:', df.InvoiceDate.min())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "United Kingdom    16646\n",
       "Germany             457\n",
       "France              389\n",
       "EIRE                260\n",
       "Belgium              98\n",
       "Netherlands          94\n",
       "Spain                90\n",
       "Portugal             57\n",
       "Australia            57\n",
       "Switzerland          51\n",
       "Finland              41\n",
       "Name: Country, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# top ten countries from where the maximum no. of purchases has been made\n",
    "\n",
    "top_ten_country = df.groupby('InvoiceNo').agg({'Country':'max'}).Country.value_counts()[:11]\n",
    "top_ten_country"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the above data we can see that UK has the most no. of customers and is leading by a great margin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The sales numbers from differnet countries\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('fivethirtyeight')\n",
    "\n",
    "plt.figure(figsize=(14, 8))\n",
    "G = gridspec.GridSpec(10, 1)\n",
    "\n",
    "axes_1 = plt.subplot(G[:1, :]); sns.barplot(y=top_ten_country.index[0:1], x=top_ten_country[0:1], orient='h')\n",
    "plt.xlabel('')\n",
    "plt.title('Sales data from different countries')\n",
    "axes_2 = plt.subplot(G[2:, :]); sns.barplot(y=top_ten_country.index[1:], x=top_ten_country[1:], orient='h')\n",
    "plt.xlabel('')\n",
    "\n",
    "print(\"The sales numbers from differnet countries\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Jan    20988\n",
       "Feb    19706\n",
       "Mar    26870\n",
       "Apr    22433\n",
       "May    28073\n",
       "Jun    26926\n",
       "Jul    26580\n",
       "Aug    26790\n",
       "Sep    39669\n",
       "Oct    48793\n",
       "Nov    63168\n",
       "Dec    42696\n",
       "Name: InvoiceDate, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking in which month do the customers buy most\n",
    "\n",
    "month_map = {1:'Jan', 2:'Feb', 3:'Mar', 4:'Apr', 5:'May', 6:'Jun', 7:'Jul', 8:'Aug', 9:'Sep', 10:'Oct', 11:'Nov', 12:'Dec'}\n",
    "byMonth = df.InvoiceDate.apply(lambda date : date.month).reset_index().InvoiceDate.value_counts().sort_index()\n",
    "byMonth.index = byMonth.index.map(month_map)\n",
    "byMonth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Customers' shopping trend\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting the above\n",
    "\n",
    "plt.figure(figsize=(12,6))\n",
    "plt.plot(byMonth)\n",
    "plt.title('Figure showing which part of the year do the customers shop most')\n",
    "print(\"Customers' shopping trend\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the above graph we can clearly see that customers tend to buy most in the last quarter "
   ]
  },
  {
   "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></th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Amount</th>\n",
       "      <th>No_Of_Customers</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2010</td>\n",
       "      <td>12</td>\n",
       "      <td>311048</td>\n",
       "      <td>570422.730</td>\n",
       "      <td>885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td rowspan=\"12\" valign=\"top\">2011</td>\n",
       "      <td>1</td>\n",
       "      <td>348473</td>\n",
       "      <td>568101.310</td>\n",
       "      <td>741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>265027</td>\n",
       "      <td>446084.920</td>\n",
       "      <td>758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>347582</td>\n",
       "      <td>594081.760</td>\n",
       "      <td>974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>291366</td>\n",
       "      <td>468374.331</td>\n",
       "      <td>856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>372864</td>\n",
       "      <td>677355.150</td>\n",
       "      <td>1056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>363014</td>\n",
       "      <td>660046.050</td>\n",
       "      <td>991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>367360</td>\n",
       "      <td>598962.901</td>\n",
       "      <td>949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>397373</td>\n",
       "      <td>644051.040</td>\n",
       "      <td>935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>543652</td>\n",
       "      <td>950690.202</td>\n",
       "      <td>1266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>591543</td>\n",
       "      <td>1035642.450</td>\n",
       "      <td>1364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>665923</td>\n",
       "      <td>1156205.610</td>\n",
       "      <td>1664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>286777</td>\n",
       "      <td>517190.440</td>\n",
       "      <td>615</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Quantity       Amount  No_Of_Customers\n",
       "Year Month                                        \n",
       "2010 12       311048   570422.730              885\n",
       "2011 1        348473   568101.310              741\n",
       "     2        265027   446084.920              758\n",
       "     3        347582   594081.760              974\n",
       "     4        291366   468374.331              856\n",
       "     5        372864   677355.150             1056\n",
       "     6        363014   660046.050              991\n",
       "     7        367360   598962.901              949\n",
       "     8        397373   644051.040              935\n",
       "     9        543652   950690.202             1266\n",
       "     10       591543  1035642.450             1364\n",
       "     11       665923  1156205.610             1664\n",
       "     12       286777   517190.440              615"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# to see month wise purchase data, we need 'month' and 'year' columns\n",
    "# it's better to make a copy pf the original dataset, on which we'll perform the reqd. steps\n",
    "\n",
    "modified_df = df[['Quantity','Amount','InvoiceDate','Country','CustomerID']].copy()\n",
    "modified_df['Month'] = modified_df['InvoiceDate'].dt.month \n",
    "modified_df['Year'] = modified_df['InvoiceDate'].dt.year\n",
    "\n",
    "by_year_month = modified_df.groupby(['Year','Month']).agg({'Quantity':'sum', 'Amount':'sum', 'CustomerID':'nunique'}).rename(columns={'CustomerID':'No_Of_Customers'})\n",
    "by_year_month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Quantity and Total amount spent by customers in different months\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting the month wise data\n",
    "\n",
    "by_year_month.plot(kind='bar', figsize=(15,6))\n",
    "plt.ylabel('Quantity, Total Amount')\n",
    "plt.xticks(rotation=45)\n",
    "plt.title('Month wise data')\n",
    "print(\"Quantity and Total amount spent by customers in different months\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From above graph we can see that our store posted the maximum no. of sales during November 2011,\n",
    "and the business is growing by a steady rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country\n",
       "EIRE                    88420.82\n",
       "Netherlands             31716.26\n",
       "Singapore               21279.29\n",
       "Australia               15383.76\n",
       "Sweden                   4795.98\n",
       "Japan                    4677.05\n",
       "Iceland                  4310.00\n",
       "Norway                   3616.54\n",
       "Switzerland              2687.81\n",
       "Germany                  2432.75\n",
       "Israel                   2405.28\n",
       "France                   2401.54\n",
       "Channel Islands          2271.17\n",
       "Denmark                  2106.15\n",
       "Spain                    2051.95\n",
       "Finland                  1878.84\n",
       "United Kingdom           1858.42\n",
       "Portugal                 1756.62\n",
       "Lebanon                  1693.88\n",
       "Cyprus                   1687.86\n",
       "Lithuania                1661.06\n",
       "Belgium                  1647.85\n",
       "Malta                    1362.80\n",
       "European Community       1300.25\n",
       "Italy                    1248.80\n",
       "Poland                   1222.44\n",
       "Greece                   1190.13\n",
       "Brazil                   1143.60\n",
       "RSA                      1002.31\n",
       "United Arab Emirates      951.14\n",
       "Austria                   927.15\n",
       "Canada                    916.60\n",
       "USA                       895.10\n",
       "Czech Republic            826.74\n",
       "Unspecified               665.19\n",
       "Bahrain                   274.20\n",
       "Saudi Arabia              145.92\n",
       "Name: Avg_Purchase, dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# calculating the amount spent by customers on an average from different countries\n",
    "\n",
    "avg_customer_purchase = modified_df.groupby('Country').agg({'Amount':'sum', 'CustomerID':'nunique'}).rename(columns={'CustomerID':'No_Of_Customers'})\n",
    "avg_customer_purchase['Avg_Purchase'] = (avg_customer_purchase.Amount / avg_customer_purchase.No_Of_Customers).round(2)\n",
    "acp = avg_customer_purchase.Avg_Purchase.sort_values(ascending=False)\n",
    "acp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Graph showing average purchase of customers from different countries\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting above data\n",
    "\n",
    "plt.figure(figsize=(14, 10))\n",
    "G = gridspec.GridSpec(10, 1)\n",
    "\n",
    "axes_1 = plt.subplot(G[:1, :]); sns.barplot(x=acp[:4] ,y=acp.index[:4], orient='h')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('')\n",
    "plt.title(r'Average purchase of customer in £ (Pound Sterling)')\n",
    "axes_2 = plt.subplot(G[2:, :]); sns.barplot(x=acp[4:] ,y=acp.index[4:], orient='h')\n",
    "plt.xlabel('')\n",
    "print('Graph showing average purchase of customers from different countries')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Above graph tells us that an average customer from EIRE (Ireland), Netherlands, Singapore, Australia\n",
    "spends significantly more amount than an average customer from rest of the countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The ten highest spenders are:\n",
      "\n",
      "CustomerID\tMoney Spent\n",
      "14646\t\t280206.0\n",
      "18102\t\t259657.3\n",
      "17450\t\t194390.8\n",
      "16446\t\t168472.5\n",
      "14911\t\t143711.2\n",
      "12415\t\t124914.5\n",
      "14156\t\t117210.1\n",
      "17511\t\t91062.4\n",
      "16029\t\t80850.8\n",
      "12346\t\t77183.6\n"
     ]
    }
   ],
   "source": [
    "# checking the top ten spenders from the data\n",
    "\n",
    "byCustomer = df.groupby('CustomerID').Amount.sum().reset_index()\n",
    "top = byCustomer.Amount.sort_values(ascending=False)[:10]\n",
    "top_ten_spender = {}\n",
    "for i in range(top.shape[0]):\n",
    "    top_ten_spender[byCustomer.CustomerID[int(top.index[i])]] = top.iloc[i].round(1)\n",
    "print(\"The ten highest spenders are:\\n\\nCustomerID\\tMoney Spent\")\n",
    "for cid, amount in top_ten_spender.items():\n",
    "    print(f\"{cid}\\t\\t{amount}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "CustomerID 14646 has spent the most amount of money in our store and\n",
    "there are 7 customers who have spent more than £100k"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total no. of items in the inventory is:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "3877"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"Total no. of items in the inventory is:\")\n",
    "df.Description.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "The top twenty most purchased items from the store with the no. of times they were purchased:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "WHITE HANGING HEART T-LIGHT HOLDER    2016\n",
       "REGENCY CAKESTAND 3 TIER              1713\n",
       "JUMBO BAG RED RETROSPOT               1615\n",
       "ASSORTED COLOUR BIRD ORNAMENT         1395\n",
       "PARTY BUNTING                         1389\n",
       "LUNCH BAG RED RETROSPOT               1303\n",
       "SET OF 3 CAKE TINS PANTRY DESIGN      1152\n",
       "POSTAGE                               1099\n",
       "LUNCH BAG  BLACK SKULL.               1078\n",
       "PACK OF 72 RETROSPOT CAKE CASES       1050\n",
       "SPOTTY BUNTING                        1014\n",
       "PAPER CHAIN KIT 50'S CHRISTMAS        1003\n",
       "LUNCH BAG SPACEBOY DESIGN              993\n",
       "HEART OF WICKER SMALL                  979\n",
       "LUNCH BAG CARS BLUE                    977\n",
       "NATURAL SLATE HEART CHALKBOARD         972\n",
       "LUNCH BAG PINK POLKADOT                941\n",
       "LUNCH BAG SUKI DESIGN                  915\n",
       "REX CASH+CARRY JUMBO SHOPPER           897\n",
       "ALARM CLOCK BAKELIKE RED               886\n",
       "Name: Description, dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# most purchased items\n",
    "\n",
    "print(\"\\nThe top twenty most purchased items from the store with the no. of times they were purchased:\")\n",
    "top_twenty_items = df.Description.value_counts()[:20]\n",
    "top_twenty_items"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The top 20 bestsellers from the inventory\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting the top 20 most purchased items\n",
    "\n",
    "plt.figure(figsize=(10,10))\n",
    "plt.pie(top_twenty_items, labels=top_twenty_items.index, explode=[e*0.005 for e in range(20)], startangle=90, autopct='%1.2f%%')\n",
    "plt.title('Top twenty best selling products')\n",
    "plt.rc('figure', titlesize=30)  \n",
    "print('The top 20 bestsellers from the inventory')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "The least purchased items from the store are:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "PINK PAINTED KASHMIRI CHAIR            1\n",
       "PEARL & SHELL 42\"NECKL. IVORY          1\n",
       "ASSORTED COLOUR SILK GLASSES CASE      1\n",
       "FLAG OF ST GEORGE CAR FLAG             1\n",
       "RED ROSE AND LACE C/COVER              1\n",
       "CAKE STAND LACE WHITE                  1\n",
       "NEW BAROQUE B'FLY NECKLACE PINK        1\n",
       "PINK MARSHMALLOW SCARF KNITTING KIT    1\n",
       "PACK 4 FLOWER/BUTTERFLY PATCHES        1\n",
       "ZINC PLANT POT HOLDER                  1\n",
       "GLASS AND PAINTED BEADS BRACELET OL    1\n",
       "BIG POLKADOT MUG                       1\n",
       "PINK SMALL GLASS CAKE STAND            1\n",
       "NEW BAROQUE B'FLY NECKLACE GREEN       1\n",
       "SET/3 TALL GLASS CANDLE HOLDER PINK    1\n",
       "WEEKEND BAG VINTAGE ROSE PAISLEY       1\n",
       "STORAGE TIN VINTAGE DOILEY             1\n",
       "WALL ART,ONLY ONE PERSON               1\n",
       "SET OF 6 EASTER RAINBOW CHICKS         1\n",
       "ANT SILVER TURQUOISE BOUDICCA RING     1\n",
       "Name: Description, dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# least purchased items\n",
    "\n",
    "print(\"\\nThe least purchased items from the store are:\")\n",
    "df.Description.value_counts(ascending=True)[:20]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calculating RFM score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "RFM stands for Recency, Frequency and Monetary\n",
    "Recency is the last visit from the customer\n",
    "Frequency is the no. of visits by the cutomer in a given period of time\n",
    "Monetary is the total amount of purchase done by the customer in that period"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The reference date for our analysis would be: 2011-12-10 12:50:00\n"
     ]
    }
   ],
   "source": [
    "# To calculate the recency parameter we'll need to calculate the duration\n",
    "# since the last purchase by the customer\n",
    "\n",
    "# So first setting a reference date\n",
    "# Here we are taking one day after the last purchase from the dataset as a refrence date\n",
    "\n",
    "ref_date = df.InvoiceDate.max() + dt.timedelta(days=1)\n",
    "print('The reference date for our analysis would be:', ref_date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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>CustomerID</th>\n",
       "      <th>Last_Visit</th>\n",
       "      <th>Gap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>12346</td>\n",
       "      <td>2011-01-18 10:01:00</td>\n",
       "      <td>326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>12347</td>\n",
       "      <td>2011-12-07 15:52:00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>12348</td>\n",
       "      <td>2011-09-25 13:13:00</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>12349</td>\n",
       "      <td>2011-11-21 09:51:00</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>12350</td>\n",
       "      <td>2011-02-02 16:01:00</td>\n",
       "      <td>310</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CustomerID          Last_Visit  Gap\n",
       "0       12346 2011-01-18 10:01:00  326\n",
       "1       12347 2011-12-07 15:52:00    2\n",
       "2       12348 2011-09-25 13:13:00   75\n",
       "3       12349 2011-11-21 09:51:00   19\n",
       "4       12350 2011-02-02 16:01:00  310"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Finding the no. of days since the customer has not purchased at the store\n",
    "\n",
    "r = df.groupby('CustomerID').InvoiceDate.max().reset_index().rename(columns={'InvoiceDate':'Last_Visit'})\n",
    "r['Gap'] = r.Last_Visit.apply( lambda x : (ref_date - x).days)\n",
    "r.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "      <th>Amount</th>\n",
       "      <th>R_Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>15.30</td>\n",
       "      <td>372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>22.00</td>\n",
       "      <td>372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>372</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1    536365     71053                  WHITE METAL LANTERN         6   \n",
       "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "          InvoiceDate  UnitPrice  CustomerID         Country  Amount  R_Score  \n",
       "0 2010-12-01 08:26:00       2.55       17850  United Kingdom   15.30      372  \n",
       "1 2010-12-01 08:26:00       3.39       17850  United Kingdom   20.34      372  \n",
       "2 2010-12-01 08:26:00       2.75       17850  United Kingdom   22.00      372  \n",
       "3 2010-12-01 08:26:00       3.39       17850  United Kingdom   20.34      372  \n",
       "4 2010-12-01 08:26:00       3.39       17850  United Kingdom   20.34      372  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dictionary storing CustomerID and Gap pairs\n",
    "r_dict = {}\n",
    "for i in range(r.shape[0]):\n",
    "    r_dict[r.CustomerID[i]] = r.Gap[i]\n",
    "\n",
    "# creating new column 'R_Score' with Recency score\n",
    "df['R_Score'] = df.CustomerID.map(r_dict)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>No_Of_Visits</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>12346</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>12347</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>12348</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>12349</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>12350</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CustomerID  No_Of_Visits\n",
       "0       12346             1\n",
       "1       12347             7\n",
       "2       12348             4\n",
       "3       12349             1\n",
       "4       12350             1"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# assessing the frequency of each Customer\n",
    "\n",
    "f = df.groupby('CustomerID').InvoiceNo.nunique().reset_index().rename(columns={'InvoiceNo':'No_Of_Visits'})\n",
    "f.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
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       "      <th>R_Score</th>\n",
       "      <th>F_Score</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>15.30</td>\n",
       "      <td>372</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>372</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>22.00</td>\n",
       "      <td>372</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>372</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>372</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1    536365     71053                  WHITE METAL LANTERN         6   \n",
       "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "          InvoiceDate  UnitPrice  CustomerID         Country  Amount  R_Score  \\\n",
       "0 2010-12-01 08:26:00       2.55       17850  United Kingdom   15.30      372   \n",
       "1 2010-12-01 08:26:00       3.39       17850  United Kingdom   20.34      372   \n",
       "2 2010-12-01 08:26:00       2.75       17850  United Kingdom   22.00      372   \n",
       "3 2010-12-01 08:26:00       3.39       17850  United Kingdom   20.34      372   \n",
       "4 2010-12-01 08:26:00       3.39       17850  United Kingdom   20.34      372   \n",
       "\n",
       "   F_Score  \n",
       "0       34  \n",
       "1       34  \n",
       "2       34  \n",
       "3       34  \n",
       "4       34  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dictionary storing CustomerID and thier frequency pairs\n",
    "f_dict = {}\n",
    "for i in range(f.shape[0]):\n",
    "    f_dict[f.CustomerID[i]] = f.No_Of_Visits[i]\n",
    "    \n",
    "# creating new column 'F_Score' with Frequency score\n",
    "df['F_Score'] = df.CustomerID.map(f_dict)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>CustomerID</th>\n",
       "      <th>Total_Purchase</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>12346</td>\n",
       "      <td>77183.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>12347</td>\n",
       "      <td>4310.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>12348</td>\n",
       "      <td>1797.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>12349</td>\n",
       "      <td>1757.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>12350</td>\n",
       "      <td>334.40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CustomerID  Total_Purchase\n",
       "0       12346        77183.60\n",
       "1       12347         4310.00\n",
       "2       12348         1797.24\n",
       "3       12349         1757.55\n",
       "4       12350          334.40"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# assessing the amount spent by each Customer\n",
    "\n",
    "m = df.groupby('CustomerID').Amount.sum().reset_index().rename(columns={'Amount':'Total_Purchase'})\n",
    "m.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
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       "      <td>2.55</td>\n",
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       "      <td>United Kingdom</td>\n",
       "      <td>15.30</td>\n",
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       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>372</td>\n",
       "      <td>34</td>\n",
       "      <td>5391.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>22.00</td>\n",
       "      <td>372</td>\n",
       "      <td>34</td>\n",
       "      <td>5391.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>372</td>\n",
       "      <td>34</td>\n",
       "      <td>5391.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>372</td>\n",
       "      <td>34</td>\n",
       "      <td>5391.21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1    536365     71053                  WHITE METAL LANTERN         6   \n",
       "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "          InvoiceDate  UnitPrice  CustomerID         Country  Amount  R_Score  \\\n",
       "0 2010-12-01 08:26:00       2.55       17850  United Kingdom   15.30      372   \n",
       "1 2010-12-01 08:26:00       3.39       17850  United Kingdom   20.34      372   \n",
       "2 2010-12-01 08:26:00       2.75       17850  United Kingdom   22.00      372   \n",
       "3 2010-12-01 08:26:00       3.39       17850  United Kingdom   20.34      372   \n",
       "4 2010-12-01 08:26:00       3.39       17850  United Kingdom   20.34      372   \n",
       "\n",
       "   F_Score  M_Score  \n",
       "0       34  5391.21  \n",
       "1       34  5391.21  \n",
       "2       34  5391.21  \n",
       "3       34  5391.21  \n",
       "4       34  5391.21  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dictionary storing CustomerID and thier spenditure pairs\n",
    "m_dict = {}\n",
    "for i in range(m.shape[0]):\n",
    "    m_dict[m.CustomerID[i]] = m.Total_Purchase[i]\n",
    "    \n",
    "# creating new column 'M_Score' with Monetary score\n",
    "df['M_Score'] = df.CustomerID.map(m_dict)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing Standard Scaler to normalize the values of R, F and M\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "mnmx = MinMaxScaler()\n",
    "\n",
    "# normalizing 'R_Score', 'F_Score' and 'M_Score'\n",
    "df.iloc[:, 9:12] = mnmx.fit_transform(df.iloc[:, 9:12])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# since max value of 'R_Score' is 1\n",
    "# Subtracting all 'R_Score' values with 1\n",
    "# because the less is the no. of days since last purchase; the more should be the score\n",
    "\n",
    "df.R_Score = df.R_Score.apply(lambda x : 1.0-x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "      <th>Amount</th>\n",
       "      <th>R_Score</th>\n",
       "      <th>F_Score</th>\n",
       "      <th>M_Score</th>\n",
       "      <th>RFM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>15.30</td>\n",
       "      <td>0.005362</td>\n",
       "      <td>0.158654</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>0.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>0.005362</td>\n",
       "      <td>0.158654</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>0.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>22.00</td>\n",
       "      <td>0.005362</td>\n",
       "      <td>0.158654</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>0.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>0.005362</td>\n",
       "      <td>0.158654</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>0.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>0.005362</td>\n",
       "      <td>0.158654</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>0.18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1    536365     71053                  WHITE METAL LANTERN         6   \n",
       "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "          InvoiceDate  UnitPrice  CustomerID         Country  Amount  \\\n",
       "0 2010-12-01 08:26:00       2.55       17850  United Kingdom   15.30   \n",
       "1 2010-12-01 08:26:00       3.39       17850  United Kingdom   20.34   \n",
       "2 2010-12-01 08:26:00       2.75       17850  United Kingdom   22.00   \n",
       "3 2010-12-01 08:26:00       3.39       17850  United Kingdom   20.34   \n",
       "4 2010-12-01 08:26:00       3.39       17850  United Kingdom   20.34   \n",
       "\n",
       "    R_Score   F_Score   M_Score   RFM  \n",
       "0  0.005362  0.158654  0.019227  0.18  \n",
       "1  0.005362  0.158654  0.019227  0.18  \n",
       "2  0.005362  0.158654  0.019227  0.18  \n",
       "3  0.005362  0.158654  0.019227  0.18  \n",
       "4  0.005362  0.158654  0.019227  0.18  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# finally calculating 'RFM' by adding 'R_Score', 'F_Score' and 'M_Score'\n",
    "\n",
    "df['RFM'] = df[['R_Score', 'F_Score', 'M_Score']].sum(axis=1).round(2)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "distplot of R_Score, F_Score and M_Score\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x864 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting the distribution of RFM values\n",
    "\n",
    "f,ax = plt.subplots(figsize=(10, 12))\n",
    "plt.subplot(3, 1, 1); sns.distplot(df.R_Score, label = 'Recency')\n",
    "plt.title('distribution of R_Score, F_Score and M_Score')\n",
    "plt.subplot(3, 1, 2); sns.distplot(df.F_Score, label = 'Frequency')\n",
    "plt.subplot(3, 1, 3); sns.distplot(df.M_Score, label = 'Monetary Value')\n",
    "plt.tight_layout()\n",
    "print('distplot of R_Score, F_Score and M_Score')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "distplot of RFM Score of the customers\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# distplot of RFM Score\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "sns.distplot(df.RFM)\n",
    "plt.title('RFM Score distribution of the customers')\n",
    "print('distplot of RFM Score of the customers')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Segmentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "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>InvoiceNo</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>UnitPrice</th>\n",
       "      <th>CustomerID</th>\n",
       "      <th>Country</th>\n",
       "      <th>Amount</th>\n",
       "      <th>R_Score</th>\n",
       "      <th>F_Score</th>\n",
       "      <th>M_Score</th>\n",
       "      <th>RFM</th>\n",
       "      <th>RFM_Segment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>15.30</td>\n",
       "      <td>0.005362</td>\n",
       "      <td>0.158654</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>0.18</td>\n",
       "      <td>Tier5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>0.005362</td>\n",
       "      <td>0.158654</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>0.18</td>\n",
       "      <td>Tier5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>22.00</td>\n",
       "      <td>0.005362</td>\n",
       "      <td>0.158654</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>0.18</td>\n",
       "      <td>Tier5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>0.005362</td>\n",
       "      <td>0.158654</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>0.18</td>\n",
       "      <td>Tier5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>2010-12-01 08:26:00</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>20.34</td>\n",
       "      <td>0.005362</td>\n",
       "      <td>0.158654</td>\n",
       "      <td>0.019227</td>\n",
       "      <td>0.18</td>\n",
       "      <td>Tier5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
       "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1    536365     71053                  WHITE METAL LANTERN         6   \n",
       "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "          InvoiceDate  UnitPrice  CustomerID         Country  Amount  \\\n",
       "0 2010-12-01 08:26:00       2.55       17850  United Kingdom   15.30   \n",
       "1 2010-12-01 08:26:00       3.39       17850  United Kingdom   20.34   \n",
       "2 2010-12-01 08:26:00       2.75       17850  United Kingdom   22.00   \n",
       "3 2010-12-01 08:26:00       3.39       17850  United Kingdom   20.34   \n",
       "4 2010-12-01 08:26:00       3.39       17850  United Kingdom   20.34   \n",
       "\n",
       "    R_Score   F_Score   M_Score   RFM RFM_Segment  \n",
       "0  0.005362  0.158654  0.019227  0.18       Tier5  \n",
       "1  0.005362  0.158654  0.019227  0.18       Tier5  \n",
       "2  0.005362  0.158654  0.019227  0.18       Tier5  \n",
       "3  0.005362  0.158654  0.019227  0.18       Tier5  \n",
       "4  0.005362  0.158654  0.019227  0.18       Tier5  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Now performing segmentation on the basis of the calculated RFM score\n",
    "\n",
    "def assignSegment(x):\n",
    "    if x >= 2.0:\n",
    "        return 'Tier1'\n",
    "    elif x >= 1.5 and x < 2.0:\n",
    "        return 'Tier2'\n",
    "    elif x >= 1.0 and x < 1.5:\n",
    "        return 'Tier3'\n",
    "    elif x >=0.5 and x < 1.0:\n",
    "        return 'Tier4'\n",
    "    elif x >= 0.0 and x <0.5:\n",
    "        return 'Tier5'\n",
    "\n",
    "# adding segment to each entry\n",
    "\n",
    "df['RFM_Segment'] = df.RFM.apply(assignSegment)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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>No_Of_Customers</th>\n",
       "      <th>Total_Purchased_Value</th>\n",
       "      <th>RFM (mean)</th>\n",
       "      <th>Avg_Purchase</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RFM_Segment</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Tier1</td>\n",
       "      <td>12589</td>\n",
       "      <td>716627.680</td>\n",
       "      <td>2.316998</td>\n",
       "      <td>56.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Tier2</td>\n",
       "      <td>13590</td>\n",
       "      <td>639988.040</td>\n",
       "      <td>1.703781</td>\n",
       "      <td>47.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Tier3</td>\n",
       "      <td>180009</td>\n",
       "      <td>4223074.640</td>\n",
       "      <td>1.089492</td>\n",
       "      <td>23.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Tier4</td>\n",
       "      <td>167411</td>\n",
       "      <td>2873978.713</td>\n",
       "      <td>0.874628</td>\n",
       "      <td>17.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Tier5</td>\n",
       "      <td>19093</td>\n",
       "      <td>433539.821</td>\n",
       "      <td>0.277660</td>\n",
       "      <td>22.71</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             No_Of_Customers  Total_Purchased_Value  RFM (mean)  Avg_Purchase\n",
       "RFM_Segment                                                                  \n",
       "Tier1                  12589             716627.680    2.316998         56.92\n",
       "Tier2                  13590             639988.040    1.703781         47.09\n",
       "Tier3                 180009            4223074.640    1.089492         23.46\n",
       "Tier4                 167411            2873978.713    0.874628         17.17\n",
       "Tier5                  19093             433539.821    0.277660         22.71"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# pulling stats from the different segments\n",
    "\n",
    "segment_stats = df.groupby('RFM_Segment').agg({'CustomerID':'count', 'Amount':'sum', 'RFM':'mean'})\n",
    "segment_stats = segment_stats.rename(columns={'CustomerID':'No_Of_Customers', 'Amount':'Total_Purchased_Value', 'RFM':'RFM (mean)'})\n",
    "segment_stats['Avg_Purchase'] = (segment_stats.Total_Purchased_Value / segment_stats.No_Of_Customers).round(2)\n",
    "segment_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pie chart showing size of different segments\n"
     ]
    },
    {
     "data": {
      "image/png": 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zV3d/Ll68GLa2tsa/PTw8MHToUBQUFOD27dtVXU2LNm/ejIULF+Lrr7/G+++/j44dOyIuLg49evTAtGnTypxvy5YtWLx4sdmjvDZWkydPRmFhIXbu3AnA0Dg+Pj4ekydPNnmNVNRnn32GKVOmIC8vD998843xUleHDh3w0Ucf4ebNmybT5+XlYcuWLWjbti3ee+89k3E2Njb44osvAMBkv/z2228AgPfff9/kNSOTyfD555+XW19deG+oqWNJJBJBKpVaPLtVkctclTontnjxYgAAx3FwcnJCu3btMHbsWOPlBMBw3R+A2YdZqd69e+Pq1auIjo5Gly5dTMaVBhWTAiUSdOnSBampqYiJibHKB1h8fDxWrlyJ06dP48GDB1Cr1Sbjy7o+XFG3bt2CUqlEx44d4e7ubja+T58+AP7Zdo9q3rw5HB0dzYaXBqP8/HyLp3IfVZ19Uhml1/qq8qZRWePGjcOePXsQERGB0aNH49lnn0WnTp0QGBhYqeXExMQAALp27QqZTGY2vk+fPvjuu+8s7pvWrVubXfLx9vYGAAQHB5t9yJeOezQs37lzBzk5OQgKCsJ//vMfizXa2dlZfFOwsbGxeHq8R48e8PPzw/Lly3HlyhUMHDgQXbp0Qbt27WrsNHibNm0shgBfX98Kh9XSbWrpdd+sWTP4+voiJSWleoWWo6SkBDExMXB1dcXatWstTiOTyZCeno7c3Fyz8NqxY0ez6auzP11cXEzCVqnS17pCoXjSKlWKpTttBgwYgC1btpR7nOzdu7fCDT9LPffcc/D09MSGDRvw4osvYt26dZBIJJg4cWKl6wYMx/6KFSswe/ZsHDlyBFeuXEFMTAwuXbqEn376CevXr8fy5cuNyy+9vCESiSy21Su99PHofil9b+jWrZvZ9B07diz3jhih3xtq8lgaN24c1q5di86dO2PUqFHo1q0bunTpUubdR4+r1DtORQorbShVVkvu0lsWLTWoKmseDw+PMueprgsXLmDEiBHQ6XTo3bs3hgwZAicnJ4hEIly7dg0HDhwwCx2VVZ1tUtZ16dI3+Ir0UVKd56+M0hdKWlpatZZTEcOGDcOOHTuwatUqbNmyxdgAKSwsDDNnzsTIkSMrtJzqbBtL4a50v1gaV/rGrdVqjcNyc3MBAImJicYQX1EeHh4WA52TkxMOHz6MxYsX48CBAzh69CgAwxvPpEmTMHv2bItnOSqjvOOS5/kKLaN0m5a+vh/n6elp1ZCRl5cHxhhyc3OfuO2LiorMQoal26+rsz9r4rVeGaVhQafT4c6dO5g7dy4OHjyIWbNmlfmhVlVSqRQTJkzAihUrcO7cOezatQsDBw40vmdUlaenJ1544QVj+wqFQoEvvvgCGzZswIcffogBAwbA09PTuF+uXr2Kq1evlrm8oqIi4/9LzxJbOj7FYjHc3NzK7O9H6PeGmjyWvvrqKwQHB2Pjxo1YuXIlVqxYAZFIhN69e+PLL798YjugGu/xs3Tlytr4pafULW2EsubJysoym6c0JVpKkuV1/PK4JUuWoKSkBDt37sT27duxaNEizJ49G7NmzbL4TaUqqrNN6tPzlyb+Y8eOVXpejuPKPPDL2p8RERHYtWsXkpOTsW/fPrz33nu4d+8epk6davGuEEvqyr4ZPHgwFApFuY/HlXfGqGnTpli+fDlu3ryJc+fOYenSpfD398d3332Hjz/+2CrrUlml6176+n6ctTtsK33+sLCwJ257Sw2GLW3/6uxPoUgkErRq1Qr/+9//0Lp1a/z4449md9bVhClTpoDjOEybNg1KpdLkDHhNkcvlWL58Ofz8/KBSqXD27FkA/+yXV199tdx9Unr2AvgnDFg6PvV6vTEEWEtdOZbEYjFeffVVHD9+HAkJCdi0aRPGjRuHo0ePYvTo0U/cDjUeMkrvUCird8XS23Sefvpps3GnTp0yG6bT6Yy3K7Vt29Y4vPQaWWpqqtk8lbn96u7du3B1dbV4+s9SPYAh4FT02xpg6DfD3t4ecXFxFnvTK/1QtrRNakJ19klljBgxAm5ubrhw4QKioqLKnZbneZPULpfLLe5L4Mn7087ODj179sTcuXMxf/58MMZMbqUsTe+W9lnpMXXu3DmLt4NZe9+0bNkSLi4uuHTpksXnry6O4xAaGopp06bhzz//hI2NDfbt21fjz1MVpcelpddZUlKS1c+IOTo6IiwsDLdv3y6zl8vKsvb+LGWNsxtSqRSLFi0CYGjzUNNnToKDg9GzZ0+kpaXBz88P/fv3r9HllxKJRHBwcADwzyXcjh07QiQS4cyZMxVeTul7g6V5Ll68WKnOw6qiLh5Lbm5uGDp0KNauXYsxY8YgOzvbGOTKUuMhY+jQoXBzc8Pu3bvN3jw2bdqEK1eu4KmnnkKnTp3M5j1+/LhZgl6zZg1SU1PRt29fk/YYpfP/8ssvJtPHxMSUeX3VkoCAAOTl5eH69esmwzds2FDmB2WTJk2QnZ1d4d4QpVIpxo8fD6VSiXnz5pncp5yeno5ly5aB47gK345aWdXZJ5Xh5ORkPM360ksvlfltKC4uDiNHjjS5/tipUyekpqaadcizfv16Y8h81NGjR6FUKs2Gl555eLTBU2njpHv37plN7+vri4iICKSlpWHFihUm4+Lj4/HLL7/AxsbG2GirpkkkErz++uvIysrCRx99ZHGdcnJyTL5hPUlcXJzF/mhyc3Oh1WpNto2Qxo4dC6lUih9//NGkXp7nMW/evFr5uYI333wTWq0Wb7zxhsXOmwoLC3Hx4sUKL88a+9OS0mO6rGBeVT179kRERARu376NzZs31+iyAWDZsmXYuHEjNm7cWK1b2BctWlTmb8/s3r0bt27dgkQiQefOnQEA7u7uGD9+PK5du4aFCxdaDAhpaWm4deuW8e9///vfxpofPVug1Woxf/78KtdeUXXhWFKr1Th69KjZFzTGmPEMz5PeT2q8nwwHBwesXr0akydPxqhRozBixAg0a9YM169fx6FDh+Di4oI1a9ZYPNU4ZMgQTJw40ThPTEwMjhw5Ajc3NyxZssRk2okTJ+Lbb7/FypUrERsbi/DwcCQlJeHPP//EiBEjsGPHjgrVO336dERFRWHIkCEYNWoUnJ2dceXKFZw9exYjR47E7t27zebp27cvfv/9d4wZMwbdu3eHjY0NWrdujSFDhpT5PHPmzMGZM2ewYcMGxMTEoE+fPsZ+MvLy8vDxxx/X2OWZx1Vnn1TWmDFjUFJSgo8++gjjx49HWFgYunXrBldXV+Tn5+PSpUu4cuUKHBwcTFrzv/POOzhy5AgmTZqEUaNGwcPDw3j9dNCgQWaB5bPPPkNKSgp69OiBgIAA2NraIjY2FlFRUXBzczO5d7tfv35YsWIFvvzyS8THxxvPgpV2HLZ06VIMHjwYX331FY4fP45OnToZ+8koKSnBihUr4OfnV+1tU5YZM2YgLi4OGzZswKFDh9CrVy/4+voiOzsbiYmJOHv2LF5++WWTM3nlOXr0KGbPno1OnTqhZcuW8PT0REZGBg4cOACe581a1wslMDAQc+bMwWeffYZevXoZu5+PioqCQqFAeHg4YmNjrVrDxIkTER0djR9++AFPP/00IiIiEBAQgPz8fKSkpOD06dPo27dvpT5wa3p/WtKiRQv4+/vjzJkzeOWVV9C8eXOIxWIMGTIErVu3rvJyAcNrKyoqCosXL8a4ceNgY2NTreU9KiQkBCEhIdVezurVq7Fo0SK0bdsW7du3h7u7OwoKChAdHW1sePzll1+iadOmxnm++eYb3L17F4sXL8bWrVvRvXt3eHl5ISMjA3fu3MGFCxfw1VdfGXuU7dmzJ6ZOnYp169ahW7duGD58OGxsbHDw4EE4OTmhadOmePDgQbXXpTxCH0t+fn4YNWoU/Pz80KlTJ/j7+0Or1eLkyZO4du0aOnbsWOYNBaWs0hnX4MGDcejQISxduhTHjh3D7t274eHhgQkTJuDjjz+22OoVMDTmmzp1KpYsWYKDBw9CKpVi5MiRmDNnDoKDg02mbdKkCfbv348vvvgCp06dwunTpxEeHo5ff/0VLi4uFQ4Z/fv3x2+//YYlS5bgjz/+gEgkwjPPPIO9e/ciKSnJYshYtGgRRCIR/v77b5w7dw56vR4TJkwoN2TI5XJERkZixYoV2LNnD1avXg0bGxu0bdsWr732GkaMGFGhequqqvukKiZNmoR+/frh559/xl9//YUdO3agsLAQTk5OaNWqlfH2s0fvtOnZsye2bt2KRYsWYc+ePZDJZOjevTsOHz6M3bt3m4WMDz/8EPv378eVK1eMl4F8fHwwffp0vPHGGyahoHfv3vjmm2/w66+/4qeffjI25C0NGYGBgTh69KjxuDt79iwcHBzQo0cPvPPOO5VuSV9ZEokEGzZswI4dO7Bp0yYcPnzY2NDQ398f77//vvFbVUVEREQgNTUVZ86cwcGDB1FQUABPT0907twZr7/+Ovr27WvFtamct956C97e3li5ciV+++03ODo6IiIiAvPmzbPYDbU1fPPNNxg4cCB+/vlnnDx5Enl5eXBxcYGPjw9eeukljB07tlLLq+n9aYlIJMKmTZswZ84cHDp0CAUFBWCMwcfHp9oho3379hg2bBj27duHn3/+GW+88Ua1lmcNW7duRVRUFE6dOoWoqChkZWWB4zg0bdoU48ePx0svvWQ8i1HKyckJ+/btw//+9z9s27YN+/btg0qlgoeHBwICAvDFF19g1KhRJvMsXboULVq0wLp167Bu3Tq4ublh2LBh+PzzzxEeHm61tlqlhD6WQkND8eWXX+LEiRO4cOEC/vzzT9jZ2SEwMBALFizA//3f/z3xjjXuYecdglq4cCEWL16M7777rsq3NBFCCCG1obSn0c6dO1fqN1caoxpvk0EIIYQ0BJmZmWbtEZRKpfFH2ax9BrohsMrlEkIIIaS+++GHH/Dbb7+hZ8+e8Pb2RkZGBo4fP460tDR06NABr7zyitAl1nkUMgghhBALevfujevXr+PEiRPIyckBx3EICgrCiy++iLfffrtGG8U2VHWiTQYhhBBCGh5qk0EIIYQQq6CQQQghhBCroJBBCCGEEKugkEEIIYQQq6CQQQghhBCroJBBCCGEEKugkEEIIYQQq6CQQQghhBCroJBBCCGEEKugkEEIIYQQq6CQQQghhBCroJBBCCGEEKugkEEIIYQQq6CQQQghhBCroJBBCCGEEKugkEEIIYQQq6CQQQghhBCroJBBCCGEEKugkEEIIYQQq6CQQQghhBCroJBBCCGEEKugkEEIIYQQq6CQQQghhBCroJBBCCGEEKugkEEIIYQQq6CQQQghhBCroJBBCCGEEKugkEEIIYQQq6CQQQghhBCroJBBGjS5XI7du3cLXQYhhDRKFDJIvSSXy8t9TJ8+HQBw8+ZNDB48uNrP9+OPP6J79+7w9/eHv78/BgwYgMjIyGovlxBCGjJOoVAwoYsgpLIyMjKM/4+MjMQ777yDmzdvGofZ2trCxcWl2s+j0+kgFotx4MAByGQyNG/eHDzPY8uWLVixYgWOHj2K1q1bV/t5CCGkIaIzGaRe8vLyMj5Kw4SlYY9fLrl//z6mTZuGwMBABAYGYty4cUhISDCOX7hwIbp164ZNmzbh6aefhqenJ4qLizF06FAMGDAAwcHBCAkJweeffw5HR0dcuHChdlecEELqEQoZpNFQKpUYPnw4bGxssH//fhw+fBheXl4YOXIklEqlcbrk5GRs374d69atw8mTJ2Fra2uyHL1ejx07dqC4uBidO3eu7dUghJB6QyJ0AYTUlh07doAxhtWrV4PjOADA8uXLERISgsjISIwePRoAoNFo8P3338PT09Nk/tjYWAwcOBAqlQoODg7YuHEjwsPDa309CCGkvqCQQRqN6OhoJCcnw8/Pz2S4UqlEYmKi8W8fHx+zgAEALVq0wIkTJ5Cfn489e/Zg+vTp2LdvH8LCwqxeOyGE1EcUMkijwfM82rRpg19++cVsnKurq/H/Dg4OFueXyWQIDg4GALRv3x6XL1/G6tWr8e2331qnYEIIqecoZJBGo127dti+fTvc3Nwgl8urvTye56HRaGqgMkIIaZio4SdpNMaOHQtPT0+88OY+hPgAACAASURBVMILOHnyJJKSknDq1CnMnj3b5A4TS+bOnYvTp08jOTkZsbGxmDdvHk6ePImxY8fWUvWEEFL/0JkM0mjY29vjwIEDmDt3LqZOnYqCggJ4e3vj2WeffeKZjYyMDLz66qvIzMyEs7MzwsPDsX37dkRERNRS9YQQUv9QZ1yEEEIIsQq6XEIIIYQQq6CQQQghhBCroJBBCCGEEKugkEEIIYQQq6C7SwhpBBivBVPngGlywbSFgK4ITFcMpjX8C12h4W9dMcBrAMYA8AB7+AAPxpjx/4bhDIAegAicxAGQOoGTOoOTOoGTOIGTOv0zTPLPOEicwInEgm4PQkjtoJBBSAPANPnglffAl6SDqbMNgUKdBabKBq/OAbT5AKx3I1mllyy2N4QRqTMgcYLI1h2cvR9E9v4Q2fuBs/OhIEJIA0C3sBJSTzBeD1Zy3xAmlKlgylTwxYb/Q1codHk1i5OAs/P+J3TY+0PkYAghnNRJ6OoIIRVEIYOQOojxevDFSeALb4MvvGP4tyjRcCmjsZO6QOQQAJFTS4idW0LkHAqRnbfQVRFCLKCQQUgdwJekQ6+4Br7gFgWKqpC6GAKHU0uInFtC7BwKTlb936chhFQPhQxCBMAr70OviIY+7xp4xTUwdZbQJTU4nH0AxK7tjA+6zEJI7aOQQUgt4FWZ0Odcgl4R8zBUZAtdUiPDQeQYDJFrW4hdn4ZY3tpwRwwhxKooZBBiBYzXg8+/Dn3OBehyLoAVJwtdEnkUJ4bIJQwS964Qu3eDyN5H6IoIaZAoZBBSQ5iuGPqci9Bln4E+5yKgKxK6JFJBnH2AIXB4dIXIuRU4jvopJKQmUMggpBqYXgV91hnoMo5Cn3sZYFqhSyLVJZVD4t4ZYs9eELu1B8dRfx2EVBWFDEIqifEawxmLjGPQZ58FeLXQJREr4WSuEHv2gsS7H8TOoUKXQ0i9QyGDkApgjAefdxW6jKPQZZ2mSyGNEGfnC4lXH0i8+0Fk7yt0OYTUCxQyCCkHr86B7v5B6NIjwVSZQpdD6giRU0tIfAZD4t0PnNhW6HIIqbMoZBDyGMZ4w10h9/+EPuf8wx8FI8QCsT0k3v0g9R0KkWOQ0NUQUudQyCDkIV6VBV16JHT3I6lzLFJpIpcwSHyeg8SrFziRTOhyCKkTKGSQRk9fcBvalO3QZ50EmF7ockh9J3WGtOkASPxGQmTrKXQ1hAiKQgZplBhj0OechzZlO3jFNaHLIQ0RJ4bY81lIA8ZA7NRC6GoIEQSFDNKoMF4DXXoUtPd2ginvCV0OaSRE8naQBo6DpMkzQpdCSK2ikEEaBaYrgTZ1N7T3dgFahdDlkEZK5BQCacA4iD17Uq+ipFGgkEEaNKZXQZu6B9qUHYA2X+hyCAEAcPb+kAVNgtizFziOE7ocQqyGQgZpkJheDV3aXmiSt1G4IHWWyDEY0qAXIfHoJnQphFgFhQzSoDC9Brq0fdCmbAPT5AldDiEVInJuBVnwZIjdOghdCiE1ikIGaRAY46FLPwLt3fVgmhyhyyGkSkTyNpAFT4FY3lroUgipERQySL2nz4uG5vYP4IsShC6FkBoh9ugOWcirENl5C10KIdVCIYPUW7zyPjR3foI++7TQpRBS80RSSP1HQxo4AZzETuhqCKkSChmk3mHaImiSNkGXuhdgOqHLIcSqOJkbpM2nQuI9gO5EIfUOhQxSbzDGoEs/CE3Cr4C2QOhyCKlVIqeWkLV8HWKXMKFLIaTCKGSQeoFXpkJ9YwV1AU4aPYn3AMhavApO6iR0KYQ8EYUMUqcxXgdt8u/QJm8BeK3Q5RBSN0jlsGnxGiTefYWuhJByUcggdZY+Px7qGyvAipOELoWQOkncpBNkoW/Tr72SOotCBqlzmE4JTcKv0KXtB8ALXQ4hdZvYDrLgKZD4jaDfQyF1DoUMUqfoss5Ac+s7MHW20KUQUq+InENh0+p9iBybCV0KIUYUMkidwKtzoLm1Bvqsk0KXQkj9JZJB1vz/IPEbRbe7kjqBQgYRnC77HNRxSwBdodClENIgiFw7wCbsQ4hsmghdCmnkKGQQwTCmhzZhPbQp2wDQYUhIjZI4wabVu5B49hS6EtKIUcggguDVOVDHLqJ+LwixMol3f8havgFOYi90KaQRopBBap0+9zJUsd8AWoXQpRDSKHC23rAJ/wRil1ZCl0IaGQoZpNYwxkObuAnapC2gW1MJqWWcFLIWr0DqN0LoSkgjQiGD1AqmUUAVuwh83lWhSyGkURN79YVNq3fBiW2FLoU0AhQyiNXp82Kgjl0EpskVuhRCCADOIRC2rT+DyMFf6FJIA0chg1gNYwza5K3QJm4AGF0eIaROEdvD5qn3IPHsJXQlpAGjkEGsgmkLoI77D/Q5F4QuhRBSDon/aMhCXgbHiYUuhTRAFDJIjdPnx0F9fSGYOkvoUgghFSBu0hk24bPASeyELoU0MBQySI3Sph+B5sZygOmELoUQUgkix+awaTcPIht3oUshDQj9ZB+pMZrk36GJ/y8FDELqIb4oAaqL70FfmCB0KaQBoTMZpNoY46G5vRa61D1Cl0IIqS6xHWzCP4HEvYvQlZAGgEIGqRbGawwNPDNPCF0KIaSmcCLIWrxOHXeRaqOQQaqM6YqhiplLvz9CSANluPPkFXAcXVknVUMhg1QJr86G6upnYMVJQpdCCLEisXs32ITPpB5CSZVQPCWVxhenQHXxfQoYhDQC+uwzUF2eAV5NPfaSyqOQQSpFr4hFyaUPqQ8MQhoRvvA2VFc+AdPkCV0KqWcoZJAK02Wfg+rqLEBXKHQphJBaxpQpKLnyCZhGIXQppB6hkEEqRJd1BuprCwBeI3QphBCBsOLkh0EjX+hSSD1BIYM8kS7rDNTXvwKYVuhSCCECY8VJUF39BExbIHQppB6gkEHKpcs6/TBgUC+ehBADvigRqiuzwLR06ZSUj0IGKZMu8yTU17+mgEEIMcMXJUB1dRaYtkjoUkgdRiGDWKTLPAl17EIKGISQMvGFdwxBQ1csdCmkjqKQQczoss48DBh6oUshhNRxfOFtqK5+SkGDWEQhg5jQ50VDHfs1BQxCSIXxBTcNPQDrlEKXQuoYChnESF94B6qYeQBPd5EQQiqHL4iHKvozMF2J0KWQOoRCBgEA8Mo0qK5+BujpmwghpGr4/Diooj8H06uELoXUERQyCHh1DlRXPwW01JMfIaR6+PzrUEV/AaanjvsIhYxGj2kLDY22VBlCl0IIaSB4RQzUN5YJXQapAyhkNGJMr4EqZg5YcbLQpRBCGhh9xt/QJG4SugwiMAoZjZg6/r/g8+OELoMQ0kBpEzdCl3lC6DKIgChkNFKaxI3QZx4TugxCSIPGoI5bAn3BbaELIQKhkNEI6TKOQUunMQkhtYFXQx0zF7w6R+hKiAAoZDQy+oKbUMf/FwATuhRCSCPBNDlQx8wF06uFLoXUMgoZjQivyoI6Zi7A061lhJDaxRfehjp+CRijLziNCYWMRoLpVYZvEpo8oUshhDRS+swT0Cb+T+gySC2ikNFIqOOXgS9KELoMQkgjp03aDN2Dv4Uug9QSChmNgPbebrqThBBSZ6hvLIO+8I7QZZBaQCGjgdPn34Dmzk9Cl0EIIf/gNVBf/4p+Hr4RoJDRgDFtIdTXvwYY/aoqIaRuYSXpUN9YLnQZxMooZDRQjDGo474BU2cKXUqjtXJ7GnyfP4vZPyYah7236g58nz9r8hg28/oTl/XH8WwM+CAGzf99Hk9Pu4S3l99BZp7lu4R2nciG7/NnMfmrGybDdx7LRsdXLiN88gXM/TXJZFx6jgZdXruMLAXdeURqjz7zBLSpe4Qug1iRROgCiHVok7ZAn3NB6DIarUs3C7H5SCaeCrQ3G/dsWxesfLe58W+ppPysfyG+EO+svIPPpwRicGdXZCm0+PSHRLy1/A5+nxdmMm3yAxXmr09BlzAnk+G5BVrMWJOApW81R6CXLSZ/dQM92rhgQEdXAMDsHxPx3lg/eMhlVV1lQqpEc+dHiJyfgti5hdClECugMxkNkD73KrSJG4Uuo9EqKNbh7eV3sOTNYMgdxWbjZVIOnq4y48PVqfysf+lmIZq6yfDq8KYI8LLFM6FOmPacN67cLjKZTqvj8eay25g50R8BXjYm45Iz1HCyl2BkT3c83cIR3Vs7405qCQBg/5kcFCj1+HeERzXXnJAq4LVQX/+a2mc0UBQyGhimLYQ6fgkAXuhSGq2P19zF0G5u6NnGxeL4C/GFaDv1Inq+eRUzVt9FtqL8NjMdn3JCpkKLQxfywBhDboEWu0/loF8Hucl0izffg5+HDcb1NQ8LQU1tUaLmcf1uMfIKdYhOKMZTgfYoKNZhwYYULH49CBzHVX2lCakGpkqHOp5+Gr4hosslDYz65rdg6myhy2i0Nh3OQNIDNVa+G2JxfN/2cjzXxQ3+Xra4l6nGN5vvYdycOPy5pA1spJYzf8dQJ3z3fgjeXn4HKg0PnZ6hVzsXLH/7n+c4dlWBPSdzcGhpW4vLkDtKsPzt5nh3pWEZ/+rtjj7t5fh4zV1MiPBEboEOby27BqVKj5eGNcXkQV7V3xiEVII+6yS09/+E1GeI0KWQGkQhowHRPfib+sMQ0J20EizadA9/LAiHrIzAMLKnu/H/TwXao21zB3R57QqiLinwXFc3i/PcuqfEFz8n4b2xvuj9tAsy87RYsCEFM9fexcp3Q5BboMX7qxLw7fshkDuW/ZIe0tUNQx55jvPxBbh8qwhzpgai19tXseztEIT626H/BzHo1MrJYnsSQqxJc/tHiF3bQ2TnLXQppIZQyGggeFUW1Le+E7qMRu3SzULkFujQ771o4zA9D5yNK8T/IjNwe0tns7MV3m4yNG0iQ+L9kjKXu2rnfTwd4ojpo3wAAGHNAHtbEUbPjsPMif5IfqBCRp4W/54bb5yHf/jzEAH/Oou/VrRDiK+dyTI1Wh6frE3Ef94IRnKGChqd4ewIAHQLd8aZ6wUUMkjt0yuhjv8vbNt/Q5fvGggKGQ0AY8zwy6q6oidPTKxmcBc3tGvuaDLsg28TEORji7ef94VMYv6mmVugxYNcDTxdy76rQ6XmIRKZzmv8mwFPhzgiapnpZZJvttxDfpEOX70ShABP00agALByRxp6tHHBM6FOuJ5YDL3+nx+t0uoY9Dz9iBURBq+4Bt29PyANeF7oUkgNoJDRAOhSd4HPuyp0GY2ei4MELg6mLyl7WxHkjhK0CrRHcYke/92aiue6ucHLVYp7mWos3HgPTZylJpcx3llh6G65tF1H/45yfLwmEesPPkCfp+XIzNNizi9JaBPsAF8PQ4Bo9dhZB2cHMXR6ZjYcMFx++eN4NiL/awgmzX3sIBZz2BCZgVB/O5y8lo/3xvrW3IYhpJI0d9dB3KQjRA4BQpdCqolCRj3HF6dAk/Cr0GWQChCJONxIUWL70SwUKPXwlEvRvY0z1n7UAo52/9zqej9bbTLf+H6eKC7hse7PDHy5LgXO9mJ0b+OM2S9W/g2YMYaP1yRizv81Mz6nnY0IK98JwewfE1Gg1OOdMb5oF+JY/oIIsSZeA3Xcf2D7zHJwIvPbwEn9wSkUCjovWk8xxkN16UPwBfFPnpgQQuoZadCLkAVNFLoMUg3UT0Y9pkvbRwGDENJgaZN+A1+cInQZpBooZNRTvCoLmoR1QpdBCCHWw7RQ31wldBWkGihk1FOaW98CeqXQZRBCiFXximvQph8SugxSRRQy6iFd1inos88JXQYhhNQKzZ2fwbQFQpdBqoBCRj3DdCXQ3FojdBmEEFJ7tPnQ3PlJ6CpIFVDIqGc0if+j3yYhhDQ6uvTD0CuuC10GqSQKGfUIX3wPutTdQpdBCCECYFDfXAnG64QuhFQChYx6RHPnB4DphS6DEEIEwYpT6ItWPUMho57Q5VyEPueC0GUQQoigNElbwLSFQpdBKohCRj3AmN5wFoMQQho7XRE0iZuEroJUEIWMekCXth+Mer0jhBAAD3s7VqYJXQapAAoZdRzTFkGTuFHoMgghpO5gOmgSfha6ClIBFDLqOE3SJoA6oSGEEBP6rNPQ510TugzyBBQy6jC+5AF0qXuFLoMQQuokzZ0fwBj9kHhdRiGjDtMmbQYY3RNOCCGW8IW3oc84KnQZpBwUMuooXnkfugdRQpdBCCF1miZpMxjjhS6DlIFCRh2lSdxIHW8RQsgTMOU96DOOCV0GKQOFjDqIL75HpwAJIaSCNEmb6GxGHUUhow4y3LJKLxhCCKkIpkylL2Z1FIWMOoYvSoI+87jQZRBCSL1CbTPqJgoZdYzhLAbdkkUIIZVBZzPqJgoZdQivTIU+67TQZRBCSL1kaJtBDebrEgoZdYg2ZSeoLQYhhFQNU6ZBn3lK6DLIIyhk1BFMo4DuwRGhyyCEkHpNe2+H0CWQR1DIqCO0qXsBXiN0GYQQUq/xBTcr9psmeh1QUmz9gho5Chl1ANOroU3bJ3QZhBDSIJT7fqosgvTAb7CfMRGybT/WXlGNlEToAgigSz8MaPOFLoMQQuo1zs4HUv9RkDQdaD4uKx3SQ9shPf4nOJUSACA9FQnNv14G7B1ru9RGg0KGwBjjob23U+gyCCGk3hK5tIY04HmI3buC40xP0ItuX4fs4O8QXz4JjjdtWM+pSiA9th/aIeNrs9xGhUKGwPTZ58BK7gtdBiGE1C+cGGLPZyH1fx5i55am43g9JBeOQxq5DeKEuHIXIz3yB7SD/gWIxFYstvGikCEw3f0DQpdACCH1h8QRUp/BkPiNhMjWw3RcSTGkx/ZDengHRNkZFVqcKPsBxFfPQN+hpxWKJRQyBMSXZECfc0noMgghpM7j7JpC6mdob8FJ7EzHZT+A9NAOSI8fAFeFO0akxw5QyLASChkC0t3/E9T5FiGElE3kEv6wvUU38/YWCXGQ/vk7JJeOm7W3qAzxtXPgFDlg8ibVLZc8hkKGQBivhy79kNBlEEJI3cOJIfboaQgXzqGm43g9xJdOQHZwG8R3Ymvm6fR6SE4fhva5f9fI8qpCLpdj/fr1GDlypGA1WAOFDIHoc86CaXKFLoMQQuoOicPD9hajLLS3UEJ6fD+kh3dClJVe408tPfGnVUKGXC4vd/yECROwZs0a3Lx584nTVsTSpUuxd+9e3LlzBzKZDB07dsScOXMQFhZW7WVXBYUMgejSqMEnIYQAAGfr/bB/i0Hm7S1yMh62t9gPTmm9HjpF95MhuhMLPiS8Rpd78+ZN4/8jIyPxzjvvmAyztbUFAHh5eVXreXQ6HcRiMU6ePImXXnoJHTp0AGMMX3/9NUaNGoVz587B1dW1Ws9RFRQyBMCXPIA+97LQZRBCiKBELmGGW1A9uoHjTG8hFd29AenBrZBcPA5OXzu/rCo9/ifUNRwyHg0PLi4uZsNKPX655P79+/jss88QFRUFAOjSpQsWLlyI5s2bAwAWLlyIPXv24K233sJ//vMfpKSkICUlBTt3mva79P333yMgIABnz57FkCFDanTdKoJChgB06YcBMKHLIISQ2seJDO0t/J+H2KWV6Tieh/jySUPnWbev13ppkvN/Qz3xLcDGttaf+1FKpRLDhw9H586dsX//fshkMqxatQojR47E+fPnYW9vDwBITk7G9u3bsW7dOshkMuNZkUcVFRWB5/kauRRTFRQyBKDLOCp0CYQQUrvE9pD4DIbUbyREdo99k1cpIT3+J6SHdkCUJVznhFxJMSQXjkHXc5BgNQDAjh07wBjD6tWrwXEcAGD58uUICQlBZGQkRo8eDQDQaDT4/vvv4enpWeayPvnkE7Rp0wadO3euldofRyGjlukLboGVpAldBiGE1ArO1gtSv5GQ+AwGJ7E3HZeTCenhHZAe2w9OWSRQhaYkJ/4UPGRER0cjOTkZfn5+JsOVSiUSExONf/v4+JQbMD799FOcPXsWBw8ehFgsTI+mFDJqmS7jb6FLIIQQqxM5tzLcgurRw7y9ReINQ/8WF4/VWnuLihLfjAaXmwXm5vHkia2E53m0adMGv/zyi9m4RxtvOjg4lLmMWbNmYefOndi7dy+aNWtmjTIrhEJGLWKMhz7juNBlEEKIdXAiiN27G8KFy2O3TPI8xJdPQRb5O8S3rglTXwVwjEFy8Ti0A8cIVkO7du2wfft2uLm5VaktxcyZM7Fz507s27cPLVu2fPIMVkQhoxbximtgmhyhyyCEkJoltofEZ9DD9hbepuPUJQ/bW2yHKLN+/Bik5MIxQUPG2LFjsWrVKrzwwgv49NNP4efnh7S0NBw4cADTpk0z3mFiyUcffYStW7di48aNkMvlyMgw/IaLg4MDHB1r/yftKWTUIt0DulRCCGk4OBtPSP1L21uYnrrncrMgPbwT0mP7wBUXClRh1YhuXxe0m3F7e3scOHAAc+fOxdSpU1FQUABvb288++yzTzyz8dNPPwGAWc+hM2fOxKxZs6xWc1k4hUJB91LWAsZroTw5AdDVjcZNhBBSVSLnUMMtqJ49zdtbJN2C9ODvkJw/Ck6vE6jC6lO/+C60/UcLXUa9R2cyaok+L4YCBiGkHhNB7NHNEC7kj3VYxfMQXz1t+D2Rm9HClFfDxJdOUMioARQyaok+57zQJRBCSOWJ7SBpOhBS/1EQ2TU1HadWQXriYf8WGanC1Gcl4pvRQHEh4OAkdCn1GoWMWkIhgxBSn3A2HpD4jYDU9znz9hZ52Yb2Fkf3gSsuEKhC6+L0ekiiz0LXfYDQpdRrFDJqAV98D6yk5n81kBBCaprIqSWk/qMh9uwFTvRYe4vk24b2Fuf+rtftLSpKfPkUhYxqopBRC+gsBiGkbhNB7NH1YXuL1qajGIP46hlDuLhxVZjyBCK5dh5qnRaQSIUupd6ikFELdDkXhC6BEELMie0gaToAUr9RENn7mI5TqyA5GQnZoe0QPbgnTH0C41RKiBLiwYe2FbqUeotChpUxnRK8ovZ/TZAQQsrC2bhD4jcSUp8h4KSmHTRxihxIj/wB6d97wBU1zPYWlSGJuwQNhYwqo5BhZfrcywBr+NcuCSF1n8ipxcP+LSy0t0i5A+nBbZCc+wucTitQhXWPOO4yMPr/hC6j3qKQYWXUHoMQIiwRxO5dDOHCtY3pKMYgjj4LaeQ2SOIuC1NeHSdKiAfUJYCNndCl1EsUMqyIMQY9tccghAhBbAuJ9wBI/Uebt7fQqCE5FQlZ5HaI0lOEqa+e4PQ6iG/EQN+ui9Cl1EsUMqyIL7wDpskTugxCSCPC2bhD4jvc0L+F1LQjKS4/95/2FoX5AlVY/4jjLlHIqCIKGVZEl0oIIbVF5Njc8BPrnr3BiUzf2kX37j7s3yIKnJbaW1SWmC4lVRmFDCvS58UIXQIhpEHjIHbv/LC9RTvTUYxBHHPO0N4i9pIw5TUQonsJQFE+4OgidCn1DoUMK2GMgS+8LXQZhJCGSGRj6N/CfxRE9n6m4zRqSE4dMvRvcT9ZmPoaGI4xiOOvQN+pj9Cl1DsUMqyEKVMBvVLoMgghDQgnc3v4eyJDLbe3iNoFyV97ICpUCFRhwyWOv0ohowooZFgJX3hL6BIIIQ2EyLE5JP6jIfHqDU5k2sW1KPWuoX+Ls0eovYUVie/ECV1CvUQhw0r0BXSphBBSHRzETToZ2lu4PW02VhxzzhAuYi8KUFvjI0pNADRqQGYjdCn1ikjoAhoqOpNBCKkSkQ0kPs/BrssPsG33pTFg/Pjjj+jevRv8m3rD38Md/UeORmRUVIUWebtIDfm+GLjsM2+MruF5zIlPR8jhONjvjUbQoVisSsgyjj+cWYinjsTDdX8MplxKhobnjeOKdHq0OhKH2IKSaq503cfp9RAl05fHyqIzGVbAmB58YYLQZRBC6hFO5mro38JvGDips+nIAgUCUuKxyFuKlk2DwINhQ0oexpxPxPneoWjrUnZvlBqex8SLSXjW3RHHs4vMxk+8mIx7JVqsaeePFo4yZKh0KHkYJHjGMPlSMj5u4YmBnk4YfyEJPybl4M1gDwDAF/HpGOfrinDnxtEbpjghHnyL1k+ekBhRyLACVpwM8GqhyyCE1AMix6CH7S36mrW34NKSIDv4OyRnjmCMVgM4iQAYTtcvCGuK75OycTavuNyQ8UlsOto426GXu4NZyDiUWYCorELc6h8GdxvDx0Ez+38uB2RrdMjS6DA9yB22YhGGebvgRqHhve18XjEOZxbiYp/QmtgMdRaT2YIPDIE+KBT64Ia9rtZAIcMK9AV0qYQQUh4O4iYdIfUfDbFbB7Ox4msXII38HeLrF8ExZjZezxi2pylQpOPRzc2hzGfZ/yAfBzLycaF3KHamm99xsic9Hx3l9liWkImN9/JgJ+Yw2NMZC8KawlEihodMgqY2EhzOLER/TyeczCnC5AA36HiGN6JT8W07f9iIG85VdyaVgvdrDn1wK/DNQsEHhYL3DQQe+zG5R2Uo9VBoeITKpWVO05hRyLAC6h+DEGKRSAaJd4Th90QcAkzHaTWQnDkCaeQ2iFMTLc5+raAEPY/fhorn4SgWYXvnZmhTxqWKdJUWr1+9h22dg+AktfwheVepwancYtiIRfi9UzModHq8F5OG+yotfu8cBI7jsKVTM3x0PQ3vX0/DEE9n/F9AEyy5k4mOcnt42UjQ5+RtPFBpMcHPFXNaNa3W5qlNTCwG7xsEPigU+qBWhkDhFwxIyv5YzFHpcSVbiyvZGlzO1uJqjgbpSh49vGXYP8SjFquvPyhkWAFPZzIIIY8wtLcYBqnvMHCyx3qNLFRAGrUb0r92QZRf/m8dhTra4FKfUCi0euxMV2DalRRE9QhBawtBY/KlZLwW5I6u5Zzp4BnAAdj4TCBcHgaRFW2B587cRYZKCy9bKXo2ccTZ3v9cJrhTpMZPyTm42KclBp1KwGtB7hjrI0fX47fQUW6Pod51r1dMxonA+wQYgkSzUOiDQsEHhJR7p0i+lwvBQQAAIABJREFUhsfVbI0hVOQYQsW9Ir3Faa/lasEYA8dx1lqFeotCRg1jvAZ8UZLQZRBC6gDOoRmk/s9D4t0HnEhmOu5+MmQHt0Fy+hA4raZCy5OJRAhxNHwwdnS1x8U8JVYkZOHH9gFm0/6dXYTjOUWYf/MBAIAxgAdgs+cqvm3rh1eauaOprQS+dlJjwACAp5xsAQApJYaQ8bjp0fewKMwHInC4lF+C8b5yOEjEGOrtjL+ziwQPGYzjwDx9DUEiqJXh32Ytyv2p9mItj+gcLS5na3A1x3Cm4m6BHuYXqiwr0DAkFuoR7EwfqY+jLVLD+KJEgFGHOIQ0XhzEbs8YfqzMUnuL2IuQHtwG8bXzFttbVAYPQM1bXsbVvqaNFPek52Ph7Qyc6dUSvg/DQ3c3B2y/r0CRTg9HiSFo3CoyNOwMtDcPGOuSc+AgEeFfvnIotDoAgPbhOmh5BiG+x/Pu3g8veTwMFc1aAvaOZU6v0jFcyy295GEIFbfydShjM1ZYdI6GQoYFtEVqGF0qIaSREskg8eoHacBoiBwCTcfptA/bW2yH+F7Vbm+fFXsfz3k7w99OikIdjy2peTiWXYQ9XYMBAJ/G3ceFPCUO9wgBALNLKJcUSojAmQyf4OeKr25m4KUrKfgi1BsKrR4fXEvDGB8XeNqYhoxMtRbzbz7A0WdbAADkUgnCnWyx9E4WRjd1wY77+VjWxrdK61ZRvKu7IVA8bJSpDwoFnORlTq/lGWJztSaXPG7kaaGrZqCw5HquFqODan659R2FjBpGjT4JaWSkckj9SttbPPaBV5RvaG8RtQui/NxqPU2GWospl5LxQK2Di0SMNs622NctGIM8DX1qPFBpcbe4crfOO0rEiOzeHO9eS0PX47fgKpVgpLcLvg4zb8D5/rU0vB/iCX+7fy77/NIhAC9dTsF3d7Pwor8bnm9ac5dKeCe5oQ1F6SWPoFAweZMyp9fzDDcUOpNLHrF5WqgtN6OocbfzdbXzRPUMp1AorJDpGi/ludfBipOELoMQYmWcQyCk/qMh8e5n3t4iPQWyyG2QnDoETkN95jwJc3CCvllLQ6PMYMOdHqyJV9nTM4bb+TpceRgmrmRrcS1XC6U1TlFUUJhcgtOjy665saIzGTWI8VowZYrQZRBCrEjs1gES/+chadLRfFzcZUgP/g5xzLlqt7doqJitPfhmLUwueTAvv3LnSSrU4XKWxhgqYnK0KNDWre17t1AHnjGI6A4TExQyahBTZQGMf/KEhJD6RSSFxKsvpP7PQ+TYzHScTgfJ2ShD/xYpdwQpr65iMhvwASHGfij0QaFg3v6AqOwOvFKLTM9QXM3RIE9dtwKFJSo9kFKkRzMn+lh9FG2NGsRUGUKXQAipSVIXSH2HQeo33EJ7iwJI/94D6ZFdECmyhamvDmESKXj/4H8ueTQLBe/XrNzeMjNL9Lhc2hfFw7YUmSX194va7XwdhYzH0NaoQbwqU+gSCCE1gLMPeNjeIgKc+LH2Fg/uGfq3OHUInEYlUIXCMvSW2eyfjq2CQsH7NwckZXetnafmTQNFthZpylpqlVlLbufrMKD8Kz9WIZfLsX79eowcObL2n/wJKGTUIEYhg5B6TeTa/mH/Fh3Nem8Ux18xtLeIPtuo2lswTgTW1N/kkseTesss0PC4mqPF1Yfdb1/J1iC5jN4yG5I7NXyHiVxe9u25ADBhwgSsWbMGN2/efOK0FXHq1CmsWrUK0dHRSE9Px3fffYeJEydWa5kUMmrQ/7d35+Ftlne6+O9Xu+V9lS1L8hqvsZ3EWcgOWYEQkrAmKWWbtAyU0mWm57S0V0+nv6E5nU7ncGAOHTpTytKmAyRAgASSECAsgewLCcRZLcfxvu+ylvf3hxzZiqM4iSU/knx/risXtvRK+soJ9u1n+T6cLiEKQZIaKsONUFvugCLqkkYHDgdUez5097ewhn8PHHe3TOOQRZkF7m6ZOr3Px/Q43N0yDzUNhoozHY6r7pYZTk61+7cRY0VFhefjbdu24YknnvC6Tadzd2c1GEa3q8XhcECpVKK7uxtFRUVYs2YN/v7v/35Uz3kRQ4YfcbqEKISoY6FOvxWq9OVQaBO87+vuHFhv8SYUreG73sKVZPCa8nBm5gOR0T6vtzllHGuxe6Y9Djf1o6LdAed4TBSXcabDvyMZQ8NDbGzssNsuunS6pKamBr/4xS+wc+dOAMCMGTOwfv165OTkAADWr1+Pt99+G48//jh+97vfoaqqClVVVViyZAmWLFkCAHjsscf88h4YMvyI0yVEwU/Sm6E2r4QqdREkpfeQv1RfDfW2jVB/9j4kW3itt3DFJXotynRm5QMxvofYHS4Zx1vtONw0GCq+abPDHrrrMgOurtcFh0uGSiFuG2tPTw+WL1+O6dOnY8uWLdBoNHj22WexYsUK7N27F3q9e1TKarVi48aNePHFF6HRaDyjIv7GkOEnsuyCbAvf33iIQp0ifhLU5lVQJk4ftt5CceIINNteg/LQF5DCYBu6HB3rPeWRlQ85Psnn9S7Z3S3z4oLMQ839ONZiR1/4L6PwK5cM1PY4YY4S96N106ZNkGUZzz33nOff+dNPP43c3Fxs27YNq1atAgD09/fj+eefR0pKSkDrYcjwE9nWDMhsK0sUVCQ1VIb5UJnvgDI62/s+pwOqvR+7+1ucq7j840OArI9yd8scckiYnJTq+3pZxpkOh2dB5uFmO44229EtsFtmOKnpFhsyjhw5AqvVCpPJe5tLT08Pzp075/ncaDQGPGAADBl+w6kSoiCijoHaeCtUpuVQaC8576K7E+qP34X6gzegaGkUU991knURcFkmeE15yIZ04ApdJis7He7RiYFTR4+02NHRz0ARKDWCt+W6XC6UlJTghRdeGHZffHy85+PIyMgxqYchw08YMojEk/TpUJtWQZW2CJLSe45Zqr8A9faB9RZ9vYIqvHqyWjPQLXNw2kNOs1yxW+aFbqfXlMehJjtabKE//RNKanrEfr3LysqwceNGJCQk+GVb62gxZPiJi9tXiYRRxJVBbVkFZeKM4estKo5C8/5rUB7aHbTrLWSlyt0tc8gx5i5TFqD0/S26qc+Jg40DizKb7TjS1I+6EO6WGS4aBI9k3H333Xj22Wexdu1aPPnkkzCZTLhw4QK2bt2Khx9+2LPD5HK6urpw9uxZAO4Rkerqahw9ehTx8fEwm83XVQ9Dhp/I/W2iSyAaXyQVlCnz3M2zonO973M6oNq7a2C9xQkx9fkgKxRwGTPhyi4YDBTmbECt8fmYNpvLfZbHkDM9qru5KjMYNfSJDXp6vR5bt27Fr371Kzz44IPo6OhAamoq5s6dO+LIxqFDh7B8+XLP5+vXr8f69es9Tb+uB4969xPb1/8KR90HossgCn+qKHd/C9OK4esterrc6y12vAFFi/gpTFlSQE41eRZkerplan1vF+y0u3B4oAfFxVBxrvMaA8VnG4DdrwMtF9yfp+YCix8Biudf/vrTe4FdLwPWr4C+LiDJAsz/NjDjjsFr2huBt/8FqP4GaLQCU5cDa3/j/TwVu4FN/wx0NAETFwCrfw2oBsKTrRv417uAh58F0i4JhWFkYboWm5b43skz3nAkw09ke6foEojCmhSRDrV5BVRpS4avt2isdfe3+HSr0PUWrhSjO0hkDmluFeG7W2avQ8bRZneYODiwluJ0hwOu0f7qF5sKLP+xOyzIMrBvM/DCE8A/vAYY84dff+4wkDYBuOlhICYZqPgceO1X7oBQfpv7Gmc/EBkPLPw74IuNl3nzLuAv/9N9f/4c4MUfAV+8DswdaEu99Rlg8i1hHTAAhPQBb4HAkOEnsoMhgygQFHElUJvvgDJpBiTJe9Gj4uRX0Gx7HcqDn0Fyje03d1dCilcfCmfWlbtl9g90y7y4IPNgUz8q2gLULbNkgffny34A7P5voPLI5UPG4u96f560Gji1Fzi6YzBkJKQDdzzp/vjIjuHP0d0KdLUAs9cAai0w8Uag3j2/D+tR9yjHP24a1dsKBW39DBlDMWT4iWzvEl0CUfiQVFCmzHWHi5gJ3ve5nFDtG1hvceabMSnHFZswuCgze6C5VUy8z+sdLhlft9pxeMgaiq9b7RDy88flBA5vA2w9QOakq3+crcs9InK1ohIGR0HyZgFnDwLTVgBOB/D6PwF3/XJw6iSMdbElqheGDH/hSAbR6KmioDbeApXpdih0yd739XYP9rdoCtxuLjkqxjPl4WlulZDs83qXLONku8MzOnG4qR/HWhzoFX2gR81J4P+uBRz9gEYPPPQMYMy7usce/xg4uQd44pWrfz1JAh74PfDWb4E3/zdQOBeYsQr46M+AeSIQnQg8ez/Q0egeHbn5e9f1toJdl53LHIdiyPAT2cGRDKLrJUWkQW1aCZVx6eXXW2zfBPUnWyH19fj1dWV9JJwZeYOLMrPyISen+b5elnG2w+mZ8jjU1I+jzXZ0BWO3zJRM9/REb6d72uNvTwLfe9G99uJKzh4EXvkfwB0/AzJKr+01s8uBH782+Hmj1b0u4x83As+tA2bfC0y6Gfg/97qDh6+FqCHM7nIfJKdViju/JJgwZPiB7OwDXP494pdoPFDETnT3t0iaOXy9xenj7v4WBz71y3oLWauDK2OCZ8rD3S3TdMVumVVdDk+YONRkx+HmfrSHSrdMlQZIznB/bJkIVB1z7yBZ/f/5fszZA8AfHwVueRyYvXr0Nbz+T8DyfwAkBVB93L3wU6sHim8ETu8Jy5ABuKdMtEql6DKCAkOGPziDv3sgUdCQlEPWW1wyfO9yQrn/U3e4OPP1db+Eu1tmzmAfiqwCuIwZV+yWWdfj9Jw2evFMjybBPQ/8Sna5p058ObMf+M9HgaXfA+bfP/rX2/MmoIkAJi0Fejvct7kGzndy2IEw/kW/0y4jMTCHmoYchgw/kDmKQTQyVRTUxpvd/S2GrbfogXrXFqh3bIKiqe6anlZWquAyZXlNebjSswCV729vzX1OzwFhF0NFWHXLfOffgKL5QHwq0NcNHNwCnNkHfGegodK7/weo+gp4bOB8i9N7gf98zD16Ub7MvW4CABRK94LOiy4MLLTt63KPAF34BlCq3X04hupsBrY9B3z/ZffnETHuaz56EShdDBzdDqz8acDevmhclzGIIcMfXDx9lcgXSZc20N9iKSRVhPd9zfXu9Ra7tkDq7R7xudzdMjMG+1BkFcBlyRmxW+aR5v7BUNFsx/muMO+W2dkE/PV/uptiRUQDaXnAd/8DKJjjvr+jEWg6P3j93reA/l73Is2P/jx4e7wR+OWQ7ar/epf36xz/ePg1APDmeuDGB4H4Ietb1v4G+NvPgU83ANNuB8qW+OOdBiXuMBnEjp9+4Oq2onfPI6LLIAoqitgi95RI8qzh6y3OfAP1+69BtX+Xz/UWsiS5u2V6AkU+XBkTAG3EZa8H3N/cjzR7j1Cc63SC3+RoLG1cnIhFJs6XABzJ8AuZIxlEbpISyuQ57vNEYi5p+uRyQXngU2jefx3K08eGPdSVnOZpbOXuSZEHRPg+jrrPIeNoi/caipPtfuiWSTRK3cG420gQhgx/kBkyaJxTRUKVdjPU5hVQ6FK87+vrgfqTrVBvfwOKxhoAgCsh2asPhTMrH4iK8fn0dpeM4y12rymPE6128Hs5BSOXzH+YFzFk+AMXftI4JekMUJtXDqy38D6jQ2pugHrHJqgO7YbLkA7H7MWeJldyXKKPZwScLhnftDk8oxMHm/rxdasdtjBfRkHhg6Npgxgy/IHTJTTOKGIK3VMiybMgSZf0A5BlKC6cg9RUB/viO9G/+lGfzyPLMk61OzwjFIeb7fiqxY4eDlFQCGPIGMSQ4QeyzF+xKNwpIOkMUMQWQG26HcrYQt+XShJcpmzAlD3srnMd7hGKg03ug8KONtvRye1+FGa4t2QQQ4YfXLpynihkKTRQ6NMh6S1QRJqh0JuhiDRDijBBUo7ucCtZlmGKUsIUFYHlmb53iBCFOlUYNxq7VgwZ/iDxy0ghRhU9JERYIOlN7v/qDAELzZIkQc1vvkTjCn86+oOCX0YKRhIkbTIUkaZLRiYskDRxAX1lu90OmSvsKcwpFAqortBZlhgy/IMhg0SSVJD0Rij0FigujkgMBIpLTzS9Hh09rWhsq0FTey2aO+phSDCjwDwZkbpon49xOp2wWq2wWq2orq6G08l1SxR+0tPTceutt4ouI6jxp6MfSJwuobGg1HtGI6SBEQlFpBmSLg2SYnQnPrpcLrR0NqCxvcYTKBrba9DYXgubffgBgApJAUtKHooyylFomYK4qCSv+3U6HfLz85Gfnw+73Y7q6mpUVlaiqqoK/f1XOKSLKIQornDgHrmxrbgfuLrPo3fPd0SXQWFC0iR6RiI8oSLSAoXWd2+Jq9Vvt6GpoxaNbTWeENHYXoOWjgY4R7EVOy0hA4UZ5SiylMMQb/J5ncvlQk1NDSorK2G1WtHT03Pdr0kkmsViwdKlS0WXEdQYMvzA1VuL3i8eEl0GhRJJASkizR0k9BavUCGpfLfSvlpdvR1ouhgi2gbDREd3C+QAn+SREG1AoWUKijLKYU7OhSRdfrWnLMtobGxEZWUlKisr0d7eHtC6iPwtIyMDS5aE70Fv/sCQ4QcuWxN6P79PdBkUjBRad3DQDy66VOhNkPTpkBTqUT21S3ahravpkukNd6DotY18oulYiIqIRYF5Moos5chKK4JK6XtqsbW11RM4mpqaxrBKouuTlZWFRYsWiS4jqDFk+IFs70LPp3eNfCGFL3WsJ0C4t4QOTHPoUnz+Jn+17I5+NHfUeUYjGtsuTnHUw+4MnfUNWnUE8kxlKLRMQZ6pDFq170WpXV1dsFqtqKysRG1tLXeqUFDKzs7GwoULRZcR1Bgy/ECWZfR8tAzs8xbuFJB0KQMjExYoIk3uHR2RZkhq34d7Xa1eW7dn4WXjkJGJtq6msPshq1KokW0sQpGlHAWWyYjU+f769fX1oaqqCpWVldypQkElJycHCxYsEF1GUGPI8JPuT+4CHF2iyyB/UGggRRgHRibMg6FCnw5JqR3VU8uyjPbulsuul+ju6/DTGwgtkiTBkjIBRZZyFFrKER+d7PNah8OB8+fPo7KyEufPn4fNZhvDSom85efnY968eaLLCGoMGX7Ss/shyH21osuga6GKGtzBMXSKIyJ11F0vnS4HmjvqhwQJ97qJpvZa9Dv4g/FKUuMtKMyYgiJLOVITLD6vc7lcqK2t9exU6e4OjnUoNH6UlZVh+vTpossIagwZftK77/twdZ4SXQZdhrvr5ZDeEhdHJzTxo35um73Xe3qjzR0kWjob4OLBeaMWH52MQot7a6w5JRcKH+FPlmU0NTV5Fo62tbWNcaU0Hk2fPh1lZWWiywhqDBl+0nvoZ3C1HhJdxvglqQamOMyXTHGYIKlGfxhXZ0/bZddLdPbwh9lYidLFIt88CUUZ5chOK4JK6Xt3TltbmydwNDY2jmGVNJ7MmzcP+fn5ossIagwZftJ37Ck4Gz4VXUb4U+qH7OAweUYmpAijX7petnY1oGEgSDQNGZnos7NpVDDRqnWYkD64U0Wn8R0ku7u7PTtVampqwm4RLYmzZMkSZGRkiC4jqLEftp9IqijRJYQVSZMwML0xpLdEpAUKbdLIDx5Bv8M20FfCe71Ec0f9qLpe0tix2ftwrHIPjlXugVKhQnZaEQotU1BomYKoiFivayMjI1FUVISioiLYbDavnSoOR/j8fe/cuRPvv/8+Zs2ahVWrVvm8rqKiAtu3b0d9fT2USiUyMzNx2223ITl5cMGtw+HAzp07ceDAAXR0dCA6Ohrz58/HnDlzAAAnT57Em2++ic7OThQXF+Puu+/2HBRms9nw9NNP44EHHkBqampg37RgOt3ozwYKdwwZfiKpY0e+iLxJCki6NM9WUE/XS70Zknr0oa27r+Oy6yXau5sD3vWSxo7T5cCpC0dx6sJRvPPlSzAn57o7jlrKkRBj8LpWq9ViwoQJmDBhAhwOB6qrqz0HuYXyThWr1Yo9e/YgLS3tite1tLTgxRdfxOzZs7FmzRrYbDZs2bIFf/rTn/DTn/7Uc91f//pXtLe346677kJSUhK6urpgt9sBuEf8NmzYgJtuugn5+fl45ZVXsGfPHsyePRsA8P7776OsrCzsAwbg/vdEV8aQ4SeSH37DDlsK7eBIxNApDj91vWzvah62XqKpvRY9Nm4pHm9kWUZVwylUNZzCtv2vwhBv8iwcTUv0HtZWqVTIzMxEZmYmXC4X6urqPDtVurpC599Ob28vNmzYgHvuuQc7duy44rUX+4zceuutnsO9FixYgOeffx7d3d2IjIxERUUFTp8+jZ/+9KeIjHS3uE9ISPA8R09PD7q7uzFr1iyo1WoUFRWhvr4eAFBVVYWTJ0/iRz/6UYDebXDhSMbIGDL8RNIxZEAdO/xQLz91vXQ47WjqqPOa3mhsq0VzR11Idb2ksVXfWo361mp8fGQz4qKSPCMcFkOe104VhUIBo9EIo9GIWbNmec5UsVqtaG1tFfgORrZp0yaUlpYiNzd3xJBhMpmgVCqxZ88ezJgxA/39/di/fz/MZrMnUBw/fhwmkwmffPIJDhw4ALVajfz8fNxyyy3QarWIjIxETEwMTp48iby8PJw7dw7l5eVwOp3YtGkT7rjjDs/USTiTJIkjGVch/P8ljBFJ67uBUHiRBrpeWoacxzHQZ8JvXS9rcemR461djVywR6PS1tWEL77eji++3o5IXTTyB85UyTEWD9upkpycjOTkZEybNg3t7e2enSoNDQ2Cqr+8PXv2oKmpCatXr76q6xMSEvCd73wHr7zyCt566y3Isgyj0Yh169Z5rmlubkZlZSVUKhXuv/9+9Pb24q233kJHRwfuv/9+SJKE++67D2+//TY2b96MgoICTJ8+Hbt27YLZbEZ0dDSee+45dHZ2YvLkyWF7gJhWqx31L0/jAUOGnyh0YRYyFGpIEekDoxIWr+mO0Xa9BID27uZh0xuNbbXo6uNJnBR43X2dOHjqExw89Qk0Kh0mpJegMKMc+aYy6DR6r2tjY2NRVlaGsrIy9PT0eAJHbW0tXC5xRwk0NDTgvffew2OPPXbVIwcdHR14/fXXUV5ejsmTJ8Nms2Hbtm145ZVX8Mgjj0ChUHjC/Nq1axER4d61s3LlSvzXf/0XOjs7ER0djaysLPzgBz/wPG9TUxO+/PJL/OhHP8If//hHzJw5E6WlpXjmmWdgNptRWFjo/y+AYJwquToMGX4iqWMAhRZwhdjisSFdL4c2q5IiDJCk0W0JdXe9bBgSIi5OddSh39HnpzdANDr9jj4ct+7Dces+KBVKZKUO7lSJ1sd5XavX6z07Vfr7+z07Vc6fPz/mO1Uudjn9/e9/77nN5XLh3Llz+PLLL/HUU08NCx+7d++GRqPBbbfd5rltzZo1eOqpp2C1WpGVlYWYmBjExsZ6AgYAGAzuBbRtbW2Ijo4eVsumTZuwbNkySJKE6upqTJo0CRqNBkVFRTh9+nRYhgxOlVwdhgw/knRJkHsuiC7jsiRt0vBDvfRmKLQJIz94BDZ7r2c7aNOQnRzsekmhxuly4nTNVzhd8xXe/fJlmJJzUJThPlMl8ZKdKhqNBrm5ucjNzYXD4cCFCxdQWVmJqqoq9PUFPkRPnDgRZrPZ67ZXX30VSUlJWLhwIZTK4b8k2O12z4LPiy5+fnEEIzMzE0ePHoXNZvP8IL3Y0Cw+fniX3H379kGj0aCsrAy9vb0A4DnELpwPs+NIxtVhyPAjSZssNmRIKkgRaYMLL4eOTPit6+Xw9RIdPcG9MI7oesiQcb7xNM43nsa2/a8iJS4dhZZyFFqmID0py+talUqFjIwMZGRkwOVyob6+3jOtEqidKhEREV6jDYA7+Oj1es/20a1bt+L8+fN45JFHAACFhYX49NNPsX37ds90yXvvvYe4uDiYTCYAwOTJk/HBBx/gtddew+LFi9Hb24vNmzejtLQUUVHeW8u7urqwY8cOPPbYY56aDAYDdu3ahZKSEhw9ehQrVqwIyPsXjSMZV4chw48U2uSxOexdqYdCnz64+HJg3YQUkQZJMbq/0otdLy9tVNXYXou+fna9pPGroe0CGtouYNfRtxEbmejZqZJhyPcaHVAoFEhLS0NaWhpmzpzpOVPFarWipaVlTGvu6OhAc3Oz5/Pc3FysXbsWH3/8MXbt2gW1Wg2LxYJ169ZBo9EAcP/w/O53v4u33noLzzzzDCIiIlBcXIxbb7112PNv3rwZ8+bNQ1zc4LTS6tWr8eqrr+Lzzz9HeXk5SkpKAv9GBdDr9SNfRGwr7k/95zbAfu5lvz2fpIkffqiX3uyXRaburpd1w44cb+moh8Nl90P1ROODXhuFfPMkFFrKkWucCLVK4/Pajo4Or50q3DEVunhuydVhyPAjR/0nsB3/zbU9SFJA0qUOmeIYXDfhn66XncOmNxrba9Hexa6XRP6mUWmRm16CQssU5JsmIUIb6fPanp4erzNVRO5UoWt32223jdhhlRgy/MrZeRZ9+x67/J2erpdDekvoLZD0RkgK37/5XA1ZltHW1eQJEBcP9mpsr2HXSyJBlAolMlMLPOs4YvTDF01e1N/fj/Pnz3t2qlxs4U3Ba+3atZ4GZuQbQ4Yfyc4+9Ox+YEjrbNOQrpcGv3S9bO6oH9ZCu7mdXS+JgpkECelJ2e6tsRnlSI71/Ruw0+n02qlycccGBQ+VSoWHHnpoTF8zLi4OL730UsgtpGXICEIXu15eul6irasRLplDqkShLjnW6AkcpqRsn9fJsoy6ujrPtEpnZ+cYVkm+JCQk4M477/TLcw1dNHs5a9aswR/+8AfU19cjLi5u1Lta1q9fj9/+9rdet6WkpODkyZOjel5fuLtEoPbulmGNqhrba9HVy66XROGssb0GjV/V4JOv3kVWM/edAAAgAElEQVSMPsG9UyXDvVNFqRjsbyFJkmenyg033OBp+V1ZWTnmO1VoUEzM6I9QuKiiosLz8bZt2/DEE0943XaxH8fFhmjXy+FweHqnTJgwAe+++67nvsv1VPEXhowAc7qcaLk4xXGxhXZbLZo6amGzs+sl0XjX0dOCPSc+wJ4THyBCG4l8k3unyoT0kmE7VRITE5GYmIjy8nLPThWr1Yr6+nruVBlDsbGxfnuuoeHh4vNeLlBcOl1SU1ODX/ziF9i5cycAYMaMGVi/fj1ycnIAuEcs3n77bTz++OP43e9+h6qqKlRVVQFwT/eMNrRcLYYMPzvfeAYnqg56AkVrZwOcrvDtekdE/tNr68bhM5/j8JnPoVZpkGuciEJLOQrMk4ftVImJiUFpaSlKS0vR29vrtVMlnDttBoPLdT4dSz09PVi+fDmmT5+OLVu2QKPR4Nlnn8WKFSuwd+9eTw8Pq9WKjRs34sUXX4RGo/GMilRWVqKwsBBqtRpTp07FL3/5S2RmZgakVoYMP7vQdBaffPXuyBcSEV2B3dGPb6oO4puqg1BISmSm5g+cqVKO2Ejv4wAiIiJQUFCAgoICz04Vq9WKqqoq7lQJANEhY9OmTZBlGc8995xnQ8HTTz+N3NxcbNu2DatWrQLg3rX0/PPPIyUlxfPYqVOn4rnnnsOECRPQ1NSE3/3ud1iyZAm+/PJLJCSM/piJSzFk+Jkh3jzyRURE18AlO3G29mucrf0aW/f8FcbETBQOnKmSEmf0ulaj0SAnJwc5OTlwOp2oqanxTKtwp8roSZI04mLNQDty5AisVqunFfxFPT09OHfunOdzo9HoFTAAYPHixV6fT506FZMmTcKGDRvw+OOP+71Whgw/M8SZRr6IiOg6yZBxofkcLjSfwwcHNyIpJs1rp8rQrfJKpRJmsxlmsxlz5sxBQ0ODZ+FoR0eHwHcRuqKiooadbjvWXC4XSkpK8MILLwy7b+goy9X08YiKikJBQQHOnj3r1xovYsjwM70uClERsdwhQkRjoqmjFp8e24JPj21BjD4eBQPH1GelFkA55CwjSZJgMBhgMBgwY8YMtLS0eALH0PNN6MpET5UAQFlZGTZu3IiEhIRRj6r09fXh1KlTmDt3rp+q88aQEQCGeBNDBhGNuY6eVuw9sRN7T+yETqN371TJcO9U0ai8+yskJCQgISEBU6ZMQWdnp2dKpa6ujjtVriAYQsbdd9+NZ599FmvXrsWTTz4Jk8mECxcuYOvWrXj44Yc9O0wu5xe/+AVuvvlmmEwmz5qMnp4erFmzJiC1MmQEgCHOhDM1x0WXQUTjWF9/D46c3Y0jZ3dDrdQgx1js2ami13mfixQdHY2SkhKUlJSgr6/Ps1PlwoUL3KlyiUAsjrxWer0eW7duxa9+9Ss8+OCD6OjoQGpqKubOnTviyEZNTQ3WrVuH5uZmJCUlYerUqdixYwcsFktAamXHzwA4cOoTvPX5n0SXQUQ0jEJSIMOQN3CmSjniohJ9Xmu3273OVOnv5/EFq1evRnR0tOgyQgZDRgDUNFvxh3d+KboMIqIRGRMzPVtjDfG+F667XC6vnSo9PT1jWGVwiIyMxNq1a0WXEVIYMgLA5XLhN397DDY7t4sRUehIjDF4RjjMyTk+D3WUZXlc7lTJycnBggULRJcRUhgyAuSVD/4NJ6uPiC6DiOi6REfEocAyGYWWcmSnFXrtVLlUS0uLZx1HU1PTGFY5tmbNmoXi4mLRZYQUhowA+fSrLdh+4DXRZRARjZpOrUeeuQyFlnLkpZdCo/Z9EmhXV5dnhCPcdqrccccdSEz0vYaFhmPICJDzjWfwxy2/Fl0GEZFfqZRq5KQVozDDvVMlUud7EWRfXx+qqqpQWVmJ6urqkN6polar8cADD/icQqLL4xbWADEmZkKj0qHfwZNWiSh8OJx2VFQfRkX1YSgkBSwpE1BoKUdRRjniopK8rtXpdMjLy0NeXh4cDofXThWbzSboHVyflJQUBozrwJGMAHpp+7/idM1XossgIhoTqQkWFFnKUZhRjtQrnOPkcrlQW1vrmVYJhZ0q5eXlmDJliugyQg5DRgDtOvoOPji4UXQZRERjLiE6xbM11pySC4WkuOx1siyjsbHREzja24OzW/KyZctgNBpHvpC8MGQEUFXDKfzn1n8WXQYRkVBRulgUWCYN7FQphkrpe6a+ra3NEzgaGxvHsErfJEnCgw8+KPxgtFDEkBFATpcDT214FHYHu+QREQGAVh2BPFOpe6eKqRRadYTPa7u6ujxbY2tra4XtVElOTsbKlSuFvHaoY8gIsD9v+y3O1n4tugwioqCjUqiRbSxCoWUKCsxTEBUR4/PaiztVrFYrqqur4XA4xqzOiRMnYubMmWP2euGEISPAPj6yGTsPvSG6DCKioCZJEizJE1CYUY4iSznio5N9XutwOFBdXY3KykpUVVUFfKfKokWLkJWVFdDXCFcMGQFWWV+BP733G9FlEBGFFEO82bNTJS3B9wmhQ3eqWK1WdHd3+7UOSZJw3333QafT+fV5xwuGjABzOO14asOjcDjtokshIgpJ8VHJ7p0qGeWwpEzwuVMFgNdOlba2tlG/tsFgwO233z7q5xmvGDLGwAvvr8e5uhOiyyAiCnmRuhgUmN07VXKMxVAp1T6vvbhTxWq1oqGh4bpeb9q0aZg0adL1ljvuMWSMgY8Ov4UPD78pugwiorCiVeswIb0UhZYpyDNNgk7je6dKd3e3104Vl8t1Va9x5513IiEhwV8ljzsMGWOgvrUa/77556LLICIKW0qFCtlphSi0uM9UidbH+bzWZrN5dqqcP3/e506V6OhorF69OlAljwsMGWPkmbd+hsa2GtFlEBGFPUmSYE7OcZ+pYilHQozB57UOhwMXLlzwTKsM3anCraujx5AxRj489CY+OvKW6DKIiMadlDgTijLKUWgphzExw+d1LpcLdXV1nsAxb948pKenj2Gl4YchY4w0tNXg2bd+JroMIqJxLS4yCfNKb8O0/JtGvFaWZZ68Okq+9wGRX6XEGZESZxJdBhHRuNbW3XTV1zJgjB5DxhiamDVddAlEROOaQlKgKKNcdBnjBkPGGCrJnCG6BCKicS3DkI9Ine8zUsi/GDLGUFJsKlLjfbfHJSKiwJqYOU10CeMKQ8YY45QJEZEYkiShKGOq6DLGFYaMMVaSyZBBRCRCpiEfURGxossYVxgyxlhCjOGK+7SJiCgwijM4VTLWGDIEmMgFoEREY0qlVKMk6wbRZYw7DBkCTOSUCRHRmCrOnAa9Lkp0GeMOQ4YA8dHJSE/KEl0GEdG4MT1/oegSxiWGDEHKsmeJLoGIaFxIjbfAkpIruoxxiSFDkMm5c6BR6USXQUQU9qYXLBBdwrjFkCGITqPH5Nw5ossgIgprWnUER44FYsgQ6IbCxZDAA3iIiAJlUs4saNRa0WWMWwwZAiXFpmKCqVR0GUREYWtaPqdKRGLIEGxm4WLRJRARhaUMQx4M8SbRZYxrDBmC5aaXIDnWKLoMIqKwM52jGMIxZASBGziaQUTkV5G6GBSxjbhwDBlBYFLubERoIkWXQUQUNqZMmAuVUiW6jHGPISMIaFRalOfNF10GEVFYkCSJUyVBgiEjSMwoWASFxL8OIqLRmpBeirioJNFlEBgygkZcVCIKLFNEl0FEFPJuKFgkugQawJARRGYWLRFdAhFRSDMn57D/UBBhyAgimYZ8pCVkiC6DiChkLZx8p+gSaAiGjCAzq3ip6BKIiEJSpiEfOcZi0WXQEAwZQaY0ayaSYtNEl0FEFHIWTr5DdAl0CYaMIKNQKLB4yl2iyyAiCik5acXITC0QXQZdgiEjCBVlTIU5OUd0GUREIYOjGMGJISNILS6/R3QJREQhIc9UBnNKrugy6DIYMoJUVmoBJqRzGxYR0Ug4ihG8GDKC2JLyuyFJkugyiIiCVqGlHMbETNFlkA8MGUEsNcGC0qyZossgIgpKEiQsmLxKdBl0BQwZQW7h5DugVPAkQSKiSxVnTkdqvFl0GXQFDBlBLj46macJEhFdQiEpsGDSStFl0AgYMkLA/LLl0Kp1ossgIgoaJdk3IDnOKLoMGgFDRgiI1MVgdvEtossgIgoKKqUaCyZxLUYoYMgIEbOKb0aULlZ0GUREws0vXY6E6BTRZdBVYMgIEVq1DjeW3S66DCIioZJjjZgzcZnoMugqMWSEkKn5N/LwNCIatyRIuH3Wg1ApueMuVDBkhBClQoVVs/+ODbqIaFyaPGEuMg35osuga8CQEWIsKRMwPX+h6DKIiMZUpC4aS6feK7oMukYMGSFocfndiItMEl0GEdGYWTp1NfTaKNFl0DViyAhBWrUOt896UHQZRERjIiu1EJNz54gug64DQ0aImpBegkk5s0WXQUQUUCqFGrfPfFB0GXSdGDJC2C3T17J3BhGFtbkly5AUmyq6DLpODBkhTK+NwrIbvi26DCKigEiMScW80ttEl0GjwJAR4iZmTkNRxlTRZRAR+d3tMx+ESqkWXQaNAkNGGLhtxreh0+hFl0FE5DeTcmYjO61QdBk0SgwZYSBaH4ebp60RXQYRkV9E6qL5PS1MMGSEifIJ85CTViy6DCKiUZEg4c65jyBSFy26FPIDqa2tTRZdBPlHa2cj/n3zz9HvsIkuhQJs346T+HLLNyiZk4Ub7yqF0+nCl1u+gfWbBrQ3d0OjU8GUm4RZy4sQHX/lqTSnw4V92ytQsb8aXe190EdrMeWmHJTNzwEAnDp8AQd3nkJbYzdcLhlxSZGYdGMOCqdbPM9Rsf88dr/7Nez9ThROs2Duqome+7raerHx/36Ke348D/poXWC+IBQ25pYsw5Lye0SXQX7CU2bCSHx0MpZOvRfvfPmy6FIogOoqW/D1F1YkGmM8tzn6nWisbsfUxXlITo+Brc+BzzYfw+b/+AJr/8dNUCh9D1pue3k/Ott6cdO9ZYhLikJPZx8cdpfnfp1eg6mL8xFviIJSqcC543XY+d+HERGlRWaRAb1dNux89TAWrZmC2CQ93vnjlzDlJSGr2L3t8OONRzFtaT4DBo3IkjIBCyffKboM8iNOl4SZ6QULUZJ1g+gyKEBsvXZse+UAFqyeBF3E4Kp7bYQaKx+bhbwp6Yg3RCM1Ix4L7ilDa30XWuq7fD5f1YkGnD/ZiNu/ewMs+SmISdQjNTMBpgmDbevNecnIKU1DgiEasUmRmDQ/B0nGGNScaQYAtDf3QKtTI29KOgyWeKTnJqG1vhMAcPpIDfr7HCiaYbns6xNdpNdG4Z75j0GpUIouhfyIISMMrZz1MJLjjKLLoAD48NXDyC0zwpyXPOK1/X0OAIBO73sL4NmvapFiicOhj8/ghf+1DS//8wfYteko+m2Oy14vyzLOn2xEa0MXjDmJAIC45EjY+51orG5DX3c/Gs63ITEtFrZeOz5/+zhuuqeMJwfTFUmQcMec7yA2MkF0KeRnnC4JQxq1FmtuegLPv/sr2Ox9osshPzn2RSXam7qx5L7yEa91Olz4bPNxZBWnIiouwud17c09qD3bAqVKiVsfmgZbrwOfvHEU3R19uPWh6Z7rbL12/Pl/bYPT4YKkkDD/rlJkFhkAuKdTFn9rMnb89SAcdhcKppqRUZiCD189jKIbMtDX3Y9Xf/8x7DYnyuZno2R21qi/FhReZhUvRb55kugyKAAYMsJUcmwaVs5eh1c//nfRpZAftNZ34ot3v8GdT8yBUnXlAUiX04XtfzkAW68dy9bNuOK1siwDErD02+XQDky/zL+zFJv/4wv0dPZ51lFotCqs/smNsNucOH+qEZ+9dQwxCXrPiEpOqRE5pYOjZzVnm1FnbcWclRPxl9/sxKK1k5GYGoMN//IR0rISkTRkPQmNb6akHCwuv1t0GRQgDBlhbGLmNJwvWordX28TXQqNUl1lK/q6+7Hhtx95bpNdMi6cbcax3ZV49F+WQalSwuV0YdvLB9BU24E7Hp+NiEjNFZ83MkaHqNgIT8AAgHiDe+tgZ2uvJ2RICglxye5jtpNNsWit78T+HScvO23jdLjw0WtHsHD1JHQ0d8PpcMGSnwIAMOUm4cLpJoYMAgDoNHrce+NjUCr4oyhc8W82zC2Zei8uNJ+Dtf6k6FJoFLJL0rDWEud12wcbDiEuORJTF+dBoVTA6XRh20v70VzbgTsen4PImJF3c6RlJeD04Rr02xzQaN3fDtoa3QtFr7T1VXa5w8Tl7NtxEqYJSUjNTEBjdTtk1+AueafT5fU5jW+rZq9DXFTSyBdSyOLCzzCnVChx7/zvISqCp7WGMq1ejcS0GK8/ao0SWr0GiWkxkF0y3vvzPtRZW7H0/qmABHR39KG7ow+Ofqfnebb/5QC2/+WA5/O8chN0kWrs3HAIzbUdqDnbjE/e+Aq5ZUboo7UAgH3bK1BV0YD2pm601HXi4EenUbH/PPKnmobV2VLXgZMHqjFzmbsddHxKFCSFhK8+P4cLZ5pRfbIRadlc3EfADYWLUZQx8voiCm0cyRgHovVxuHf+Y/jztn+BS3aO/AAKOV1tfTh3rA4A8Orvd3ndt2jNZBQObCHtau31uk+jVWHlo7Ow642v8Nq/fQKtXo3sklTMuq3Ic43d5sTHrx9FV3svVGol4lOisPhbU5BX7h0yZFnGh68ewdyVE6HRuadfVBolltw3BR9vPIr+PgemLs6DwRLv9/dPocWYmImlU1eLLoPGADt+jiOfHduKbftfFV0GEY1jWnUEHlv+T0iIMYguhcYAp0vGkTkTb+Wx8EQkjEJS4p75jzJgjCMMGePMqtnrkBiTKroMIhqHbp/5APJMZaLLoDHEkDHO6DQRWHPT96FRaUWXQkTjyI1lK1CeN190GTTGGDLGIUO8CWtu+j73phPRmJiSOxcLJ98hugwSgCFjnMpNL8Gdc7/LMyWIKKByjSW4fdZDossgQRgyxrGSrBlYNuPbossgojBlTMzA6pse58mq4xhDxjg3o2Ahbpq0UnQZRBRm4qKScN/CH0OrHrnzLIUvhgzCgkmrMKNgkegyiChMRGgjcf+if0C0Pm7kiymsMWQQAGDZjPtQknXlEzuJiEaiUqrxrQU/RHKcceSLKewxZBAAQJIk3Dn3u8g1loguhYhClCRJuGvuI8gw5IkuhYIEQwZ5KBUqrLnp+zAn54guhYhC0C3T1qI4c5roMiiIMGSQF41ai/sW/ZhDnUR0TWYX34KZRUtEl0FBhiGDhtFro/DA4p8gNjJRdClEFALmTLwVN0/jqao0HEMGXVZsZAIeWPIT6LXRokshoiC2YNIqLJ16r+gyKEgxZJBPybFpeGDJP0KvjRJdChEFoZunrmafHboihgy6ImNiJh6++WeIjuB+dyJykyBh+Q33Y/bEW0SXQkGOIYNGZIg3Yd0tTyIuKkl0KUQkmEJSYNWcdZhesFB0KRQCGDLoqiTEGLDulp8jKSZNdClEJIhSocRd8/4ek3PniC6FQgRDBl212MgE/N0tTyI1wSK6FCIaYyqFGqtv+j47A9M1YcigaxIVEYOHl/4U5uRc0aUQ0RhRqzT41qIfosA8WXQpFGKktrY2WXQRFHr6HTa8tus5VJw/LLoUIgogrVqH+xb9GJmGfNGlUAhiyKDr5nK58PYXL+LAqV2iSyGiAIjQROL+Jf8IU1K26FIoRDFk0Kh9eOhNfHTkLdFlEJEfxegT8O1FP+IaLBoVhgzyi/0nP8Y7X7wEl+wSXQoRjZIlZQLW3PR9REXEii6FQhxDBvnNifOH8Nqu52B39IsuhYiu09S8G7FsxrehUqpEl0JhgCGD/Kq22Yq/ffwsWjsbRZdCRNdAqVDi1un3YXrBAtGlUBhhyCC/67V1Y9Onf0RFNXeeEIWCSF0MVt/0OHeQkN8xZFBAyLKMXUffwYeH34As858YUbAyJmZi7YIfIDYyQXQpFIYYMiigztQcx2u7/oAeW6foUojoEmXZs7Bi1kNQqzSiS6EwxZBBAdfe3Yz//uj/obrpjOhSiAjuQ86WlN/DU1Qp4BgyaEw4nA68t28D9p7YKboUonEtQhOJe258DLnGiaJLoXGAIYPG1OEzn+PtL17kNlciAVLiTPjWgieQEGMQXQqNEwwZNObqW6vxt4+eQXNHvehSiMaNsuxZWD7zAWjVOtGl0DjCkEFC9PX34o3P/hPfVB0QXQpRWIvQRGL5zAd4RDsJwZBBQn1+7D18cHATHC676FKIwk5OWjHumLMOMdyeSoIwZJBwjW01eGv3C6hqOCW6FKKwoFKqsaT8HtxQuBiSJIkuh8YxhgwKCrIsY8+JD7DjwEb0O/pEl0MUstISMnDXvEeQEpcuuhQihgwKLm1dTdi8+0WcrvlKdClEIUWpUGF+6XLMK70NSgUPN6PgwJBBQenQ6c/w3r4N6LV1iy6FKOilJ2Vh1ex1MMSbRJdC5IUhg4JWV2873vnyZXxt3S+6FKKgpFKqsWDSKswuvgUKhUJ0OUTDMGRQ0Dtu3Y93v3wZXb3tokshChqWlFysnL0OybFpoksh8okhg0JCr60b7+/7Gw6e/lR0KURCRelisWDyKpTnzYdC4ugFBTeGDAopp2uO4e3dL6K1q1F0KURjSqVUY1bxzZhXsgxadYTocoiuCkMGhZx+hw1ffL0dn321FX32HtHlEAWUBAkl2Tdg8ZS7EReVKLocomvCkEEhq6evC7u+egd7v9nJjqEUljJS8nDz9DUwJWWLLoXoujBkUMhr62rGh4ffwOEzn0OW+c+ZQl98dDKWlN+LiZnTRJdCNCoMGRQ26lursePg66g4f1h0KUTXRafR48bS2zGjcDFUSjbUotDHkEFhx1p/EtsPvMazUChkKCQlphcswE1lK6HXRYkuh8hvGDIobH1TdRAfHNyIhrYLoksh8qnAPBlLpt7LfhcUlhgyKKy5ZBcOn/4cHx5+A+3dLaLLIQIAKBVKTMycgdkTb0FagkV0OUQBw5BB44LDace+io/wxdfb2WODhNGqdZiadyNmFi1FbGSC6HKIAo4hg8YVl+zCiapD+PKb7ThXd0J0OTROxOjjMbNoCabm3QidRi+6HKIxw5BB41ZdSxW+/GYHjpz9Ag4n+2yQ/xniTZhdfAtKs2/g8es0LjFk0LjX3deJ/Sc/xt4TO9HR0yq6HAoD2WlFmFN8CyaYSkWXQiQUQwbRAKfLia+t+/HF19txvvG06HIoxCgkJYozp2HOxFtgTMwUXQ5RUGDIILqM6qaz+OLr7TheuRdOl1N0ORTE4qOSUZo9E1Pz5iMuKkl0OURBhSGD6Ao6e9qwt+JDHDmzm7tSyEOvjcLEzOkozZ6JDEOe6HKIghZDBtFVqm46i2Pn9uJY5V60dzeLLofGmEqpRoF5MkqzZyLPVMqFnERXgSGD6BrJsozqxjM4VrkXxyr3oaOHTb7ClSRJyEotRFn2TBRlTINOEyG6JKKQwpBBNAqyLKOq4RSOVe7F8cp96OxtE10S+UFqvAVlOTNRmnUDYtg0i+i6MWQQ+YlLdsFaf9ITOLr7OkSXRFdJggRDghl56aUozZ4JQ7xJdElEYYEhgygAXC4XKutP4HjlPpyt+wZN7bWiS6JLxEUmIcdYhOy0YuQYixCpixFdElHYYcggGgNdve04V3cClfUVqKw7gca2Gsjg/3pjSafRIzutCDlpRcgxFiMxJlV0SURhjyGDSIDuvk5P4DhXdwINrdUMHX6mVKhgSclFjnEictKKYEzMgkKhEF0W0bjCkEEUBHpsXbDWn0Rl3QlU1p9AbUsVZJn/a14LvTYahngTjImZyDEWI8OQB41KK7osonGNIYMoCPXaulHVcAr1rdVoaq9FY3sNGttrYLP3iS5NOKVChaTYNKTGm5GaYIYh3ozUeDOi9XGiSyOiSzBkEIWQju4WNHpCRy0a29zho6u3XXRpARGjj/eECEO8CYYEM5Jj09gIiyhEMGQQhYFeW/dg+GirQVN7LVq6GtDd24FeW3dQrvfQqLSIiohDdEQsoob8iY6IRUJ0CgwJZui1UaLLJKJRYMggCnNOlxM9fZ3o6m1HV18Huvs60NXbjh5bF2z9veiz96Kvv2fgTy9sdvd/ZdkFSZIgSQpIkgSFpPD9MRSQFIMfK5VKROpivILDpYFCq9aJ/tIQUYAxZBAREVFAcD8XERERBQRDBhEREQUEQwYREREFBEMGERERBQRDBhEREQUEQwYREREFBEMGERERBQRDBhEREQUEQwYREREFBEMGERERBQRDBhEREQUEQwZREImLi8PmzZtFl0FE5BcMGURjIC4u7op/Hn30UQBARUUFbr75Zr++9u9//3vExcXhJz/5iV+fl4hoJCrRBRCNBxUVFZ6Pt23bhieeeMLrNp3Ofey5wWAY1es4HA4olUpIkgQA2LdvH1566SUUFxeP6nmJiK4HRzKIxoDBYPD8iY2N9XnbpdMlNTU1ePjhh5GRkYGMjAzcc889OHPmjOf+9evXY+bMmfjrX/+KSZMmISUlBd3d3QCA9vZ2fOc738Gzzz6LuLi4MXy3RERuDBlEQaqnpwfLly+HVqvFli1bsGPHDhgMBqxYsQI9PT2e66xWKzZu3IgXX3wRn332mWdU5Ic//CFWrFiB+fPni3oLRDTOcbqEKEht2rQJsizjueee80x/PP3008jNzcW2bduwatUqAEB/fz+ef/55pKSkeB770ksv4ezZs3j++eeF1E5EBDBkEAWtI0eOwGq1wmQyed3e09ODc+fOeT43Go1eAePUqVP49a9/jffeew8ajWbM6iUiuhRDBlGQcrlcKCkpwQsvvDDsvvj4eM/HkZGRXvft3bsXzc3NmDlzpuc2p9OJ3bt344UXXkBNTQ20Wm3gCiciGsCQQRSkysrKsHHjRiQkJFzTws1ly5Zh8uTJXrd973vfQ05ODn784x9zdIOIxgwXfhIFqbvvvhspKSlYu3YtPvvsM8bgAh0AAAEjSURBVFRWVuLzzz/Hz3/+c68dJpeKi4tDUVGR1x+9Xo/4+HgUFRV51ncQEQUaQwZRkNLr9di6dSsyMzPx4IMPYvr06Xj00UfR1tbGLalEFBKktrY2WXQRREREFH44kkFEREQBwZBBREREAcGQQURERAHBkEFEREQBwZBBREREAcGQQURERAHBkEFEREQBwZBBREREAcGQQURERAHBkEFEREQBwZBBREREAcGQQURERAHBkEFEREQBwZBBREREAcGQQURERAHBkEFEREQBwZBBREREAcGQQURERAHBkEFEREQBwZBBREREAcGQQURERAHBkEFEREQBwZBBREREAcGQQURERAHBkEFEREQBwZBBREREAcGQQURERAHBkEFEREQB8f8DNSN2BOQb2FsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting the population from different segments\n",
    "\n",
    "plt.figure(figsize=(8,8))\n",
    "plt.pie(segment_stats.No_Of_Customers, labels=segment_stats.index, explode=[0.08,0.05,0.01,0.01,0.05], autopct='%1.2f%%')\n",
    "plt.title('Population of Customers in different RFM Segments')\n",
    "print('Pie chart showing size of different segments')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Above pie chart shows that only 3.2% of our total customers are in Tier1 category.\n",
    "And most of the customers are residing in Tier3 and Tier4 category."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pie chart showing the total purchased value from different segments\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualizing the percentage of business from each tier\n",
    "\n",
    "plt.figure(figsize=(8,8))\n",
    "plt.pie(segment_stats.Total_Purchased_Value, labels=segment_stats.index, explode=[0.08,0.05,0.01,0.01,0.05], autopct='%1.2f%%')\n",
    "plt.title('Business from each tier')\n",
    "print('Pie chart showing the total purchased value from different segments')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Above pie chart shows that Tier3 and Tier4 segments brings about 80% of our revenue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure showing average purchase in pounds, from an average person from different Tiers\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting average purchase from any customer from different Tiers\n",
    "\n",
    "sns.barplot(x=segment_stats.index, y=segment_stats.Avg_Purchase)\n",
    "plt.ylabel(r'Average purcahse in £')\n",
    "plt.title('Average purchase of a Customer')\n",
    "print('Figure showing average purchase in pounds, from an average person from different Tiers')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Above bar graph shows that customers from Tier1 and Tier2 have high monetary purchases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean of RFM Score of the different segments\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting the mean value of RFM score for each segment\n",
    "\n",
    "sns.barplot(x=segment_stats.index, y=segment_stats.iloc[:,2])\n",
    "plt.title('RFM Score (Mean) of the different segments')\n",
    "print('Mean of RFM Score of the different segments')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As depicted, RFM scores decreases as we go from top tier, i.e., Tier1 to lowest tier, i.e., Tier5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}