Удержание клиентов.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e5af869b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>order_status</th>\n",
       "      <th>customer</th>\n",
       "      <th>order_date</th>\n",
       "      <th>order_quantity</th>\n",
       "      <th>sales</th>\n",
       "      <th>discount</th>\n",
       "      <th>discount_value</th>\n",
       "      <th>product_category</th>\n",
       "      <th>product_sub_category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>Order Finished</td>\n",
       "      <td>Muhammed Mac Intyre</td>\n",
       "      <td>2010-10-13</td>\n",
       "      <td>6</td>\n",
       "      <td>523080</td>\n",
       "      <td>0.04</td>\n",
       "      <td>20923</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Storage &amp; Organization</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>293</td>\n",
       "      <td>Order Finished</td>\n",
       "      <td>Barry French</td>\n",
       "      <td>2012-10-01</td>\n",
       "      <td>49</td>\n",
       "      <td>20246040</td>\n",
       "      <td>0.07</td>\n",
       "      <td>1417223</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Appliances</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>483</td>\n",
       "      <td>Order Finished</td>\n",
       "      <td>Clay Rozendal</td>\n",
       "      <td>2011-07-10</td>\n",
       "      <td>30</td>\n",
       "      <td>9931519</td>\n",
       "      <td>0.08</td>\n",
       "      <td>794522</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Telephones &amp; Communication</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>515</td>\n",
       "      <td>Order Finished</td>\n",
       "      <td>Carlos Soltero</td>\n",
       "      <td>2010-08-28</td>\n",
       "      <td>19</td>\n",
       "      <td>788540</td>\n",
       "      <td>0.08</td>\n",
       "      <td>63083</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Appliances</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>613</td>\n",
       "      <td>Order Finished</td>\n",
       "      <td>Carl Jackson</td>\n",
       "      <td>2011-06-17</td>\n",
       "      <td>12</td>\n",
       "      <td>187080</td>\n",
       "      <td>0.03</td>\n",
       "      <td>5612</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Binders &amp; Binder Accessories</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   order_id    order_status             customer  order_date  order_quantity  \\\n",
       "0         3  Order Finished  Muhammed Mac Intyre  2010-10-13               6   \n",
       "1       293  Order Finished         Barry French  2012-10-01              49   \n",
       "2       483  Order Finished        Clay Rozendal  2011-07-10              30   \n",
       "3       515  Order Finished       Carlos Soltero  2010-08-28              19   \n",
       "4       613  Order Finished         Carl Jackson  2011-06-17              12   \n",
       "\n",
       "      sales  discount  discount_value product_category  \\\n",
       "0    523080      0.04           20923  Office Supplies   \n",
       "1  20246040      0.07         1417223  Office Supplies   \n",
       "2   9931519      0.08          794522       Technology   \n",
       "3    788540      0.08           63083  Office Supplies   \n",
       "4    187080      0.03            5612  Office Supplies   \n",
       "\n",
       "           product_sub_category  \n",
       "0        Storage & Organization  \n",
       "1                    Appliances  \n",
       "2    Telephones & Communication  \n",
       "3                    Appliances  \n",
       "4  Binders & Binder Accessories  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "data = pd.read_csv('clean_data.csv')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7993cca1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5499 entries, 0 to 5498\n",
      "Data columns (total 10 columns):\n",
      " #   Column                Non-Null Count  Dtype         \n",
      "---  ------                --------------  -----         \n",
      " 0   order_id              5499 non-null   int64         \n",
      " 1   order_status          5499 non-null   object        \n",
      " 2   customer              5499 non-null   object        \n",
      " 3   order_date            5499 non-null   datetime64[ns]\n",
      " 4   order_quantity        5499 non-null   int64         \n",
      " 5   sales                 5499 non-null   int64         \n",
      " 6   discount              5499 non-null   float64       \n",
      " 7   discount_value        5499 non-null   int64         \n",
      " 8   product_category      5499 non-null   object        \n",
      " 9   product_sub_category  5499 non-null   object        \n",
      "dtypes: datetime64[ns](1), float64(1), int64(4), object(4)\n",
      "memory usage: 429.7+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "data['order_date'] = pd.to_datetime(data['order_date'])\n",
    "print(data.info())"
   ]
  },
  {
   "cell_type": "raw",
   "id": "7d503498",
   "metadata": {},
   "source": [
    "Общ пр"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0238b95e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "График - Общее количество заказов по годам\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['year_transaction'] = data['order_date'].dt.year # взяли год\n",
    "\n",
    "print(\"График - Общее количество заказов по годам\")\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# groupby().count() вычисляет количество строк для каждой комбинации группы, игнорируя значения None и Nan\n",
    "data_year = data[data['order_status'] == 'Order Finished'].groupby(['year_transaction'])['order_quantity'].count()\n",
    "data_year.plot(x='year_transaction',y='order_quantity', kind='bar', title='Общее количество заказов по годам')\n",
    "plt.xlabel('Год_транзакций')\n",
    "plt.ylabel('Кол-во_заказов')\n",
    "#tight_layout изменяет размер подграфика, чтобы включить его в область графика. \n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0b1116ad",
   "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>year_transaction</th>\n",
       "      <th>order_quantity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2009</td>\n",
       "      <td>1244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010</td>\n",
       "      <td>1248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2011</td>\n",
       "      <td>1178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012</td>\n",
       "      <td>1254</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year_transaction  order_quantity\n",
       "0              2009            1244\n",
       "1              2010            1248\n",
       "2              2011            1178\n",
       "3              2012            1254"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Таблица кол-во заказов по годам\n",
    "\n",
    "# as_index = falce - не переносить в новый дата фрейм индексы\n",
    "data_year1 = data[data['order_status'] == 'Order Finished'].groupby(['year_transaction'], as_index = False)\n",
    "['order_quantity'].count()\n",
    "data_year1 = pd.DataFrame(data_year1)\n",
    "data_year1.columns\n",
    "data_year1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4e3e628e",
   "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>year</th>\n",
       "      <th>number_of_order</th>\n",
       "      <th>number_of_order_lag1</th>\n",
       "      <th>growth_of_order</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2009</td>\n",
       "      <td>1244</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010</td>\n",
       "      <td>1248</td>\n",
       "      <td>1244.0</td>\n",
       "      <td>0.321543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2011</td>\n",
       "      <td>1178</td>\n",
       "      <td>1248.0</td>\n",
       "      <td>-5.608974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012</td>\n",
       "      <td>1254</td>\n",
       "      <td>1178.0</td>\n",
       "      <td>6.451613</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  number_of_order  number_of_order_lag1  growth_of_order\n",
       "0  2009             1244                   NaN              NaN\n",
       "1  2010             1248                1244.0         0.321543\n",
       "2  2011             1178                1248.0        -5.608974\n",
       "3  2012             1254                1178.0         6.451613"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_year1.rename(columns={'year_transaction': 'year', 'order_quantity': 'number_of_order'}, inplace=True)\n",
    "##shift - Индекс сдвига на желаемое количество периодов. От изменения в скобках числа меняется кло-во NaN в последних столбцах\n",
    "data_year1['number_of_order_lag1'] = data_year1['number_of_order'].shift(1)\n",
    "data_year1['growth_of_order'] = ((data_year1['number_of_order'] / data_year1['number_of_order_lag1']) -1)*100\n",
    "data_year1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "89500b71",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "График - Рост заказов(%) по годам\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"График - Рост заказов(%) по годам\")\n",
    "#Seaborn —  библиотека для создания статистических графиков\n",
    "import seaborn as sns\n",
    "sns.pointplot(data = data_year1, \n",
    "              x='year', \n",
    "              y='growth_of_order')\n",
    "\n",
    "plt.ylim(-15,15) # диапозон у\n",
    "plt.tight_layout()\n",
    "plt.xlabel('Год')\n",
    "plt.ylabel('Рост заказов (%)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "996a9932",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "График - Общий объем продаж по годам\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"График - Общий объем продаж по годам\")\n",
    "data_year = data[data['order_status'] == 'Order Finished'].groupby(['year_transaction'])['sales'].sum()\n",
    "data_year.plot(x='year_transaction', y='sales', kind='bar', title='Общий объем продаж по годам')\n",
    "plt.xlabel('Год_транзаций')\n",
    "plt.ylabel('Общий_объем_Продаж')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "eb18a973",
   "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>year_transaction</th>\n",
       "      <th>sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2009</td>\n",
       "      <td>4613872681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010</td>\n",
       "      <td>4059100607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2011</td>\n",
       "      <td>4112036186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012</td>\n",
       "      <td>4482983158</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year_transaction       sales\n",
       "0              2009  4613872681\n",
       "1              2010  4059100607\n",
       "2              2011  4112036186\n",
       "3              2012  4482983158"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_year2 = data[data['order_status'] == 'Order Finished'].groupby(['year_transaction'], as_index=False)['sales'].sum()\n",
    "data_year2 = pd.DataFrame(data_year2)\n",
    "data_year2.columns\n",
    "data_year2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e0f4941f",
   "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>year</th>\n",
       "      <th>total_sales</th>\n",
       "      <th>total_sales_lag1</th>\n",
       "      <th>growth_of_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2009</td>\n",
       "      <td>4613872681</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010</td>\n",
       "      <td>4059100607</td>\n",
       "      <td>4.613873e+09</td>\n",
       "      <td>-12.024000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2011</td>\n",
       "      <td>4112036186</td>\n",
       "      <td>4.059101e+09</td>\n",
       "      <td>1.304121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012</td>\n",
       "      <td>4482983158</td>\n",
       "      <td>4.112036e+09</td>\n",
       "      <td>9.021005</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  total_sales  total_sales_lag1  growth_of_sales\n",
       "0  2009   4613872681               NaN              NaN\n",
       "1  2010   4059100607      4.613873e+09       -12.024000\n",
       "2  2011   4112036186      4.059101e+09         1.304121\n",
       "3  2012   4482983158      4.112036e+09         9.021005"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_year2.rename(columns={'year_transaction': 'year', 'sales': 'total_sales'}, inplace=True)\n",
    "#lag -разница\n",
    "data_year2['total_sales_lag1'] = data_year2['total_sales'].shift(1) #сдвиг на 1\n",
    "data_year2['growth_of_sales'] = ((data_year2['total_sales'] / data_year2['total_sales_lag1']) -1)*100\n",
    "data_year2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6ae30350",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "График - Рост продаж(%) по годам\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"График - Рост продаж(%) по годам\")\n",
    "sns.pointplot(data = data_year2, \n",
    "              x='year', \n",
    "              y='growth_of_sales')\n",
    "plt.ylim(-15,15)\n",
    "plt.tight_layout()\n",
    "plt.xlabel('Год')\n",
    "plt.ylabel('Рост продаж(%)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fd786670",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Сводная таблица\n"
     ]
    },
    {
     "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>year</th>\n",
       "      <th>number_of_order</th>\n",
       "      <th>number_of_order_lag1</th>\n",
       "      <th>growth_of_order</th>\n",
       "      <th>total_sales</th>\n",
       "      <th>total_sales_lag1</th>\n",
       "      <th>growth_of_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2009</td>\n",
       "      <td>1244</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4613872681</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010</td>\n",
       "      <td>1248</td>\n",
       "      <td>1244.0</td>\n",
       "      <td>0.321543</td>\n",
       "      <td>4059100607</td>\n",
       "      <td>4.613873e+09</td>\n",
       "      <td>-12.024000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2011</td>\n",
       "      <td>1178</td>\n",
       "      <td>1248.0</td>\n",
       "      <td>-5.608974</td>\n",
       "      <td>4112036186</td>\n",
       "      <td>4.059101e+09</td>\n",
       "      <td>1.304121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012</td>\n",
       "      <td>1254</td>\n",
       "      <td>1178.0</td>\n",
       "      <td>6.451613</td>\n",
       "      <td>4482983158</td>\n",
       "      <td>4.112036e+09</td>\n",
       "      <td>9.021005</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  number_of_order  number_of_order_lag1  growth_of_order  total_sales  \\\n",
       "0  2009             1244                   NaN              NaN   4613872681   \n",
       "1  2010             1248                1244.0         0.321543   4059100607   \n",
       "2  2011             1178                1248.0        -5.608974   4112036186   \n",
       "3  2012             1254                1178.0         6.451613   4482983158   \n",
       "\n",
       "   total_sales_lag1  growth_of_sales  \n",
       "0               NaN              NaN  \n",
       "1      4.613873e+09       -12.024000  \n",
       "2      4.059101e+09         1.304121  \n",
       "3      4.112036e+09         9.021005  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"Сводная таблица\")\n",
    "    \n",
    "# merge - Объединение выполняется по столбцам или индексам. \n",
    "# how='inner'- связь Общихд анных, чтобы не совпадали по несколько раз\n",
    "data_year = pd.merge(data_year1, data_year2, on='year', how='inner')\n",
    "data_year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "269f44f2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Сводный график\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Сводный график\")\n",
    "data_year.plot(x='year', y=['growth_of_order','growth_of_sales'], kind='bar', title='Общие показатели продаж и заказов по годам')\n",
    "plt.xlabel('Год')\n",
    "plt.xticks(rotation=0) # rotation - для подписей оси x (направление)\n",
    "plt.legend(['Рост заказов (%)','Рост продаж (%)'])\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d82f6cff",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d36068d0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\570B~1\\AppData\\Local\\Temp/ipykernel_8280/459090031.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data1['year_transaction'] = data1['year_transaction'].astype(str)\n"
     ]
    },
    {
     "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>year_transaction</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>%SalesGrowth</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>product_sub_category</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Scissors, Rulers &amp; Trimmers</th>\n",
       "      <td>12638340</td>\n",
       "      <td>36776400</td>\n",
       "      <td>190.990747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Envelopes</th>\n",
       "      <td>36463900</td>\n",
       "      <td>58629280</td>\n",
       "      <td>60.787190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Office Machines</th>\n",
       "      <td>545856280</td>\n",
       "      <td>811427140</td>\n",
       "      <td>48.652158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Computer Peripherals</th>\n",
       "      <td>232677960</td>\n",
       "      <td>308014340</td>\n",
       "      <td>32.377961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Storage &amp; Organization</th>\n",
       "      <td>285991820</td>\n",
       "      <td>356714140</td>\n",
       "      <td>24.728791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rubber Bands</th>\n",
       "      <td>3090120</td>\n",
       "      <td>3837880</td>\n",
       "      <td>24.198413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Binders &amp; Binder Accessories</th>\n",
       "      <td>298023200</td>\n",
       "      <td>363879200</td>\n",
       "      <td>22.097609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paper</th>\n",
       "      <td>111080380</td>\n",
       "      <td>126896160</td>\n",
       "      <td>14.238140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Office Furnishings</th>\n",
       "      <td>160471500</td>\n",
       "      <td>178927480</td>\n",
       "      <td>11.501095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Telephones &amp; Communication</th>\n",
       "      <td>392194658</td>\n",
       "      <td>422287514</td>\n",
       "      <td>7.672939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chairs &amp; Chairmats</th>\n",
       "      <td>622962720</td>\n",
       "      <td>654168740</td>\n",
       "      <td>5.009292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pens &amp; Art Supplies</th>\n",
       "      <td>43093800</td>\n",
       "      <td>43818480</td>\n",
       "      <td>1.681634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Appliances</th>\n",
       "      <td>272630020</td>\n",
       "      <td>266131100</td>\n",
       "      <td>-2.383787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bookcases</th>\n",
       "      <td>169304620</td>\n",
       "      <td>159984680</td>\n",
       "      <td>-5.504835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tables</th>\n",
       "      <td>505875008</td>\n",
       "      <td>388993784</td>\n",
       "      <td>-23.104763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Copiers &amp; Fax</th>\n",
       "      <td>404074080</td>\n",
       "      <td>292489800</td>\n",
       "      <td>-27.614808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Labels</th>\n",
       "      <td>15607780</td>\n",
       "      <td>10007040</td>\n",
       "      <td>-35.884283</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "year_transaction                   2011       2012  %SalesGrowth\n",
       "product_sub_category                                            \n",
       "Scissors, Rulers & Trimmers    12638340   36776400    190.990747\n",
       "Envelopes                      36463900   58629280     60.787190\n",
       "Office Machines               545856280  811427140     48.652158\n",
       "Computer Peripherals          232677960  308014340     32.377961\n",
       "Storage & Organization        285991820  356714140     24.728791\n",
       "Rubber Bands                    3090120    3837880     24.198413\n",
       "Binders & Binder Accessories  298023200  363879200     22.097609\n",
       "Paper                         111080380  126896160     14.238140\n",
       "Office Furnishings            160471500  178927480     11.501095\n",
       "Telephones & Communication    392194658  422287514      7.672939\n",
       "Chairs & Chairmats            622962720  654168740      5.009292\n",
       "Pens & Art Supplies            43093800   43818480      1.681634\n",
       "Appliances                    272630020  266131100     -2.383787\n",
       "Bookcases                     169304620  159984680     -5.504835\n",
       "Tables                        505875008  388993784    -23.104763\n",
       "Copiers & Fax                 404074080  292489800    -27.614808\n",
       "Labels                         15607780   10007040    -35.884283"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1 = data[data['order_status'] == 'Order Finished']\n",
    "data1['year_transaction'] = data1['year_transaction'].astype(str)\n",
    "\n",
    "# Таблица с данными о продаже продуктав подкатегорий в 2011 и 2012г, и % изменения между 2012 и 2011 г.\n",
    "\n",
    "# loc[]-Доступ к группе строк и столбцов по меткам или логическому массиву.\n",
    "# pivot_table - сводная табл (объединение данных таблиц)\n",
    "data_piv1 = data1.loc[(data1['year_transaction'] == '2011') | (data1['year_transaction'] == '2012')].pivot_table(\n",
    "                        index='year_transaction',\n",
    "                        columns=['product_sub_category'],\n",
    "                        values='sales',   # возвращает показатели sales\n",
    "                        aggfunc=sum, \n",
    "                        fill_value=0).T # добавлять серию в серию и заполнять пустые пропуски \"NaN\"\n",
    "data_piv1['%SalesGrowth'] = ((data_piv1['2012'] / data_piv1['2011']) -1) * 100\n",
    "# ascending = false - будут данные в порядке убывания\n",
    "data_piv1.sort_values('%SalesGrowth', ascending=False, inplace=True)\n",
    "data_piv1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9416c147",
   "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>year_transaction</th>\n",
       "      <th>product_sub_category</th>\n",
       "      <th>Sales_2011</th>\n",
       "      <th>Sales_2012</th>\n",
       "      <th>%SalesGrowth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Scissors, Rulers &amp; Trimmers</td>\n",
       "      <td>12638340</td>\n",
       "      <td>36776400</td>\n",
       "      <td>190.990747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Envelopes</td>\n",
       "      <td>36463900</td>\n",
       "      <td>58629280</td>\n",
       "      <td>60.787190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Office Machines</td>\n",
       "      <td>545856280</td>\n",
       "      <td>811427140</td>\n",
       "      <td>48.652158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Computer Peripherals</td>\n",
       "      <td>232677960</td>\n",
       "      <td>308014340</td>\n",
       "      <td>32.377961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Storage &amp; Organization</td>\n",
       "      <td>285991820</td>\n",
       "      <td>356714140</td>\n",
       "      <td>24.728791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Rubber Bands</td>\n",
       "      <td>3090120</td>\n",
       "      <td>3837880</td>\n",
       "      <td>24.198413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Binders &amp; Binder Accessories</td>\n",
       "      <td>298023200</td>\n",
       "      <td>363879200</td>\n",
       "      <td>22.097609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Paper</td>\n",
       "      <td>111080380</td>\n",
       "      <td>126896160</td>\n",
       "      <td>14.238140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Office Furnishings</td>\n",
       "      <td>160471500</td>\n",
       "      <td>178927480</td>\n",
       "      <td>11.501095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Telephones &amp; Communication</td>\n",
       "      <td>392194658</td>\n",
       "      <td>422287514</td>\n",
       "      <td>7.672939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Chairs &amp; Chairmats</td>\n",
       "      <td>622962720</td>\n",
       "      <td>654168740</td>\n",
       "      <td>5.009292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Pens &amp; Art Supplies</td>\n",
       "      <td>43093800</td>\n",
       "      <td>43818480</td>\n",
       "      <td>1.681634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Appliances</td>\n",
       "      <td>272630020</td>\n",
       "      <td>266131100</td>\n",
       "      <td>-2.383787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Bookcases</td>\n",
       "      <td>169304620</td>\n",
       "      <td>159984680</td>\n",
       "      <td>-5.504835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Tables</td>\n",
       "      <td>505875008</td>\n",
       "      <td>388993784</td>\n",
       "      <td>-23.104763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Copiers &amp; Fax</td>\n",
       "      <td>404074080</td>\n",
       "      <td>292489800</td>\n",
       "      <td>-27.614808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Labels</td>\n",
       "      <td>15607780</td>\n",
       "      <td>10007040</td>\n",
       "      <td>-35.884283</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "year_transaction          product_sub_category  Sales_2011  Sales_2012  \\\n",
       "0                  Scissors, Rulers & Trimmers    12638340    36776400   \n",
       "1                                    Envelopes    36463900    58629280   \n",
       "2                              Office Machines   545856280   811427140   \n",
       "3                         Computer Peripherals   232677960   308014340   \n",
       "4                       Storage & Organization   285991820   356714140   \n",
       "5                                 Rubber Bands     3090120     3837880   \n",
       "6                 Binders & Binder Accessories   298023200   363879200   \n",
       "7                                        Paper   111080380   126896160   \n",
       "8                           Office Furnishings   160471500   178927480   \n",
       "9                   Telephones & Communication   392194658   422287514   \n",
       "10                          Chairs & Chairmats   622962720   654168740   \n",
       "11                         Pens & Art Supplies    43093800    43818480   \n",
       "12                                  Appliances   272630020   266131100   \n",
       "13                                   Bookcases   169304620   159984680   \n",
       "14                                      Tables   505875008   388993784   \n",
       "15                               Copiers & Fax   404074080   292489800   \n",
       "16                                      Labels    15607780    10007040   \n",
       "\n",
       "year_transaction  %SalesGrowth  \n",
       "0                   190.990747  \n",
       "1                    60.787190  \n",
       "2                    48.652158  \n",
       "3                    32.377961  \n",
       "4                    24.728791  \n",
       "5                    24.198413  \n",
       "6                    22.097609  \n",
       "7                    14.238140  \n",
       "8                    11.501095  \n",
       "9                     7.672939  \n",
       "10                    5.009292  \n",
       "11                    1.681634  \n",
       "12                   -2.383787  \n",
       "13                   -5.504835  \n",
       "14                  -23.104763  \n",
       "15                  -27.614808  \n",
       "16                  -35.884283  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#reset_index () чтобы при объединении не перетосовались индексы и не вышли из строя\n",
    "data_subcat1 = data_piv1.reset_index()\n",
    "data_subcat1.rename(columns={'2011': 'Sales_2011', '2012': 'Sales_2012'}, inplace=True)\n",
    "data_subcat1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "360dda19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        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>year_transaction</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>%OrderGrowth</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>product_sub_category</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"17\" valign=\"top\">order_quantity</th>\n",
       "      <th>Office Machines</th>\n",
       "      <td>43</td>\n",
       "      <td>59</td>\n",
       "      <td>37.209302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Computer Peripherals</th>\n",
       "      <td>106</td>\n",
       "      <td>132</td>\n",
       "      <td>24.528302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Envelopes</th>\n",
       "      <td>34</td>\n",
       "      <td>42</td>\n",
       "      <td>23.529412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Storage &amp; Organization</th>\n",
       "      <td>58</td>\n",
       "      <td>71</td>\n",
       "      <td>22.413793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rubber Bands</th>\n",
       "      <td>18</td>\n",
       "      <td>22</td>\n",
       "      <td>22.222222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Scissors, Rulers &amp; Trimmers</th>\n",
       "      <td>19</td>\n",
       "      <td>21</td>\n",
       "      <td>10.526316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bookcases</th>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>7.692308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Telephones &amp; Communication</th>\n",
       "      <td>92</td>\n",
       "      <td>99</td>\n",
       "      <td>7.608696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Labels</th>\n",
       "      <td>45</td>\n",
       "      <td>48</td>\n",
       "      <td>6.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pens &amp; Art Supplies</th>\n",
       "      <td>78</td>\n",
       "      <td>81</td>\n",
       "      <td>3.846154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paper</th>\n",
       "      <td>162</td>\n",
       "      <td>167</td>\n",
       "      <td>3.086420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Binders &amp; Binder Accessories</th>\n",
       "      <td>178</td>\n",
       "      <td>176</td>\n",
       "      <td>-1.123596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tables</th>\n",
       "      <td>41</td>\n",
       "      <td>40</td>\n",
       "      <td>-2.439024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Appliances</th>\n",
       "      <td>81</td>\n",
       "      <td>79</td>\n",
       "      <td>-2.469136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Office Furnishings</th>\n",
       "      <td>111</td>\n",
       "      <td>108</td>\n",
       "      <td>-2.702703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chairs &amp; Chairmats</th>\n",
       "      <td>72</td>\n",
       "      <td>69</td>\n",
       "      <td>-4.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Copiers &amp; Fax</th>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>-14.285714</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "year_transaction                             2011  2012  %OrderGrowth\n",
       "               product_sub_category                                  \n",
       "order_quantity Office Machines                 43    59     37.209302\n",
       "               Computer Peripherals           106   132     24.528302\n",
       "               Envelopes                       34    42     23.529412\n",
       "               Storage & Organization          58    71     22.413793\n",
       "               Rubber Bands                    18    22     22.222222\n",
       "               Scissors, Rulers & Trimmers     19    21     10.526316\n",
       "               Bookcases                       26    28      7.692308\n",
       "               Telephones & Communication      92    99      7.608696\n",
       "               Labels                          45    48      6.666667\n",
       "               Pens & Art Supplies             78    81      3.846154\n",
       "               Paper                          162   167      3.086420\n",
       "               Binders & Binder Accessories   178   176     -1.123596\n",
       "               Tables                          41    40     -2.439024\n",
       "               Appliances                      81    79     -2.469136\n",
       "               Office Furnishings             111   108     -2.702703\n",
       "               Chairs & Chairmats              72    69     -4.166667\n",
       "               Copiers & Fax                   14    12    -14.285714"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_piv2 = data1.loc[(data1['year_transaction'] == '2011') | (data1['year_transaction'] == '2012')].pivot_table(\n",
    "                        index='year_transaction',\n",
    "                        columns=['product_sub_category'],\n",
    "                        values=['order_quantity'], \n",
    "                        aggfunc={'order_quantity':'count'}, \n",
    "                        fill_value=0).T\n",
    "data_piv2['%OrderGrowth'] = ((data_piv2['2012'] / data_piv2['2011']) -1) * 100\n",
    "data_piv2.sort_values('%OrderGrowth', ascending=False, inplace=True)\n",
    "data_piv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "23f07ba5",
   "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>year_transaction</th>\n",
       "      <th>level_0</th>\n",
       "      <th>product_sub_category</th>\n",
       "      <th>Order_2011</th>\n",
       "      <th>Order_2012</th>\n",
       "      <th>%OrderGrowth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>order_quantity</td>\n",
       "      <td>Office Machines</td>\n",
       "      <td>43</td>\n",
       "      <td>59</td>\n",
       "      <td>37.209302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>order_quantity</td>\n",
       "      <td>Computer Peripherals</td>\n",
       "      <td>106</td>\n",
       "      <td>132</td>\n",
       "      <td>24.528302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>order_quantity</td>\n",
       "      <td>Envelopes</td>\n",
       "      <td>34</td>\n",
       "      <td>42</td>\n",
       "      <td>23.529412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>order_quantity</td>\n",
       "      <td>Storage &amp; Organization</td>\n",
       "      <td>58</td>\n",
       "      <td>71</td>\n",
       "      <td>22.413793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>order_quantity</td>\n",
       "      <td>Rubber Bands</td>\n",
       "      <td>18</td>\n",
       "      <td>22</td>\n",
       "      <td>22.222222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>order_quantity</td>\n",
       "      <td>Scissors, Rulers &amp; Trimmers</td>\n",
       "      <td>19</td>\n",
       "      <td>21</td>\n",
       "      <td>10.526316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>order_quantity</td>\n",
       "      <td>Bookcases</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>7.692308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>order_quantity</td>\n",
       "      <td>Telephones &amp; Communication</td>\n",
       "      <td>92</td>\n",
       "      <td>99</td>\n",
       "      <td>7.608696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>order_quantity</td>\n",
       "      <td>Labels</td>\n",
       "      <td>45</td>\n",
       "      <td>48</td>\n",
       "      <td>6.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>order_quantity</td>\n",
       "      <td>Pens &amp; Art Supplies</td>\n",
       "      <td>78</td>\n",
       "      <td>81</td>\n",
       "      <td>3.846154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>order_quantity</td>\n",
       "      <td>Paper</td>\n",
       "      <td>162</td>\n",
       "      <td>167</td>\n",
       "      <td>3.086420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>order_quantity</td>\n",
       "      <td>Binders &amp; Binder Accessories</td>\n",
       "      <td>178</td>\n",
       "      <td>176</td>\n",
       "      <td>-1.123596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>order_quantity</td>\n",
       "      <td>Tables</td>\n",
       "      <td>41</td>\n",
       "      <td>40</td>\n",
       "      <td>-2.439024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>order_quantity</td>\n",
       "      <td>Appliances</td>\n",
       "      <td>81</td>\n",
       "      <td>79</td>\n",
       "      <td>-2.469136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>order_quantity</td>\n",
       "      <td>Office Furnishings</td>\n",
       "      <td>111</td>\n",
       "      <td>108</td>\n",
       "      <td>-2.702703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>order_quantity</td>\n",
       "      <td>Chairs &amp; Chairmats</td>\n",
       "      <td>72</td>\n",
       "      <td>69</td>\n",
       "      <td>-4.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>order_quantity</td>\n",
       "      <td>Copiers &amp; Fax</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>-14.285714</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "year_transaction         level_0          product_sub_category  Order_2011  \\\n",
       "0                 order_quantity               Office Machines          43   \n",
       "1                 order_quantity          Computer Peripherals         106   \n",
       "2                 order_quantity                     Envelopes          34   \n",
       "3                 order_quantity        Storage & Organization          58   \n",
       "4                 order_quantity                  Rubber Bands          18   \n",
       "5                 order_quantity   Scissors, Rulers & Trimmers          19   \n",
       "6                 order_quantity                     Bookcases          26   \n",
       "7                 order_quantity    Telephones & Communication          92   \n",
       "8                 order_quantity                        Labels          45   \n",
       "9                 order_quantity           Pens & Art Supplies          78   \n",
       "10                order_quantity                         Paper         162   \n",
       "11                order_quantity  Binders & Binder Accessories         178   \n",
       "12                order_quantity                        Tables          41   \n",
       "13                order_quantity                    Appliances          81   \n",
       "14                order_quantity            Office Furnishings         111   \n",
       "15                order_quantity            Chairs & Chairmats          72   \n",
       "16                order_quantity                 Copiers & Fax          14   \n",
       "\n",
       "year_transaction  Order_2012  %OrderGrowth  \n",
       "0                         59     37.209302  \n",
       "1                        132     24.528302  \n",
       "2                         42     23.529412  \n",
       "3                         71     22.413793  \n",
       "4                         22     22.222222  \n",
       "5                         21     10.526316  \n",
       "6                         28      7.692308  \n",
       "7                         99      7.608696  \n",
       "8                         48      6.666667  \n",
       "9                         81      3.846154  \n",
       "10                       167      3.086420  \n",
       "11                       176     -1.123596  \n",
       "12                        40     -2.439024  \n",
       "13                        79     -2.469136  \n",
       "14                       108     -2.702703  \n",
       "15                        69     -4.166667  \n",
       "16                        12    -14.285714  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_subcat2 = data_piv2.reset_index()\n",
    "data_subcat2.rename(columns={'2011': 'Order_2011', '2012': 'Order_2012'}, inplace=True)\n",
    "data_subcat2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0eccc8d8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Сводная таблица\n"
     ]
    },
    {
     "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>year_transaction</th>\n",
       "      <th>product_sub_category</th>\n",
       "      <th>Sales_2011</th>\n",
       "      <th>Sales_2012</th>\n",
       "      <th>%SalesGrowth</th>\n",
       "      <th>Order_2011</th>\n",
       "      <th>Order_2012</th>\n",
       "      <th>%OrderGrowth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Scissors, Rulers &amp; Trimmers</td>\n",
       "      <td>12638340</td>\n",
       "      <td>36776400</td>\n",
       "      <td>190.990747</td>\n",
       "      <td>19</td>\n",
       "      <td>21</td>\n",
       "      <td>10.526316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Envelopes</td>\n",
       "      <td>36463900</td>\n",
       "      <td>58629280</td>\n",
       "      <td>60.787190</td>\n",
       "      <td>34</td>\n",
       "      <td>42</td>\n",
       "      <td>23.529412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Office Machines</td>\n",
       "      <td>545856280</td>\n",
       "      <td>811427140</td>\n",
       "      <td>48.652158</td>\n",
       "      <td>43</td>\n",
       "      <td>59</td>\n",
       "      <td>37.209302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Computer Peripherals</td>\n",
       "      <td>232677960</td>\n",
       "      <td>308014340</td>\n",
       "      <td>32.377961</td>\n",
       "      <td>106</td>\n",
       "      <td>132</td>\n",
       "      <td>24.528302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Storage &amp; Organization</td>\n",
       "      <td>285991820</td>\n",
       "      <td>356714140</td>\n",
       "      <td>24.728791</td>\n",
       "      <td>58</td>\n",
       "      <td>71</td>\n",
       "      <td>22.413793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Rubber Bands</td>\n",
       "      <td>3090120</td>\n",
       "      <td>3837880</td>\n",
       "      <td>24.198413</td>\n",
       "      <td>18</td>\n",
       "      <td>22</td>\n",
       "      <td>22.222222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Binders &amp; Binder Accessories</td>\n",
       "      <td>298023200</td>\n",
       "      <td>363879200</td>\n",
       "      <td>22.097609</td>\n",
       "      <td>178</td>\n",
       "      <td>176</td>\n",
       "      <td>-1.123596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Paper</td>\n",
       "      <td>111080380</td>\n",
       "      <td>126896160</td>\n",
       "      <td>14.238140</td>\n",
       "      <td>162</td>\n",
       "      <td>167</td>\n",
       "      <td>3.086420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Office Furnishings</td>\n",
       "      <td>160471500</td>\n",
       "      <td>178927480</td>\n",
       "      <td>11.501095</td>\n",
       "      <td>111</td>\n",
       "      <td>108</td>\n",
       "      <td>-2.702703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Telephones &amp; Communication</td>\n",
       "      <td>392194658</td>\n",
       "      <td>422287514</td>\n",
       "      <td>7.672939</td>\n",
       "      <td>92</td>\n",
       "      <td>99</td>\n",
       "      <td>7.608696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Chairs &amp; Chairmats</td>\n",
       "      <td>622962720</td>\n",
       "      <td>654168740</td>\n",
       "      <td>5.009292</td>\n",
       "      <td>72</td>\n",
       "      <td>69</td>\n",
       "      <td>-4.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Pens &amp; Art Supplies</td>\n",
       "      <td>43093800</td>\n",
       "      <td>43818480</td>\n",
       "      <td>1.681634</td>\n",
       "      <td>78</td>\n",
       "      <td>81</td>\n",
       "      <td>3.846154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Appliances</td>\n",
       "      <td>272630020</td>\n",
       "      <td>266131100</td>\n",
       "      <td>-2.383787</td>\n",
       "      <td>81</td>\n",
       "      <td>79</td>\n",
       "      <td>-2.469136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Bookcases</td>\n",
       "      <td>169304620</td>\n",
       "      <td>159984680</td>\n",
       "      <td>-5.504835</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>7.692308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Tables</td>\n",
       "      <td>505875008</td>\n",
       "      <td>388993784</td>\n",
       "      <td>-23.104763</td>\n",
       "      <td>41</td>\n",
       "      <td>40</td>\n",
       "      <td>-2.439024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Copiers &amp; Fax</td>\n",
       "      <td>404074080</td>\n",
       "      <td>292489800</td>\n",
       "      <td>-27.614808</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>-14.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Labels</td>\n",
       "      <td>15607780</td>\n",
       "      <td>10007040</td>\n",
       "      <td>-35.884283</td>\n",
       "      <td>45</td>\n",
       "      <td>48</td>\n",
       "      <td>6.666667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "year_transaction          product_sub_category  Sales_2011  Sales_2012  \\\n",
       "0                  Scissors, Rulers & Trimmers    12638340    36776400   \n",
       "1                                    Envelopes    36463900    58629280   \n",
       "2                              Office Machines   545856280   811427140   \n",
       "3                         Computer Peripherals   232677960   308014340   \n",
       "4                       Storage & Organization   285991820   356714140   \n",
       "5                                 Rubber Bands     3090120     3837880   \n",
       "6                 Binders & Binder Accessories   298023200   363879200   \n",
       "7                                        Paper   111080380   126896160   \n",
       "8                           Office Furnishings   160471500   178927480   \n",
       "9                   Telephones & Communication   392194658   422287514   \n",
       "10                          Chairs & Chairmats   622962720   654168740   \n",
       "11                         Pens & Art Supplies    43093800    43818480   \n",
       "12                                  Appliances   272630020   266131100   \n",
       "13                                   Bookcases   169304620   159984680   \n",
       "14                                      Tables   505875008   388993784   \n",
       "15                               Copiers & Fax   404074080   292489800   \n",
       "16                                      Labels    15607780    10007040   \n",
       "\n",
       "year_transaction  %SalesGrowth  Order_2011  Order_2012  %OrderGrowth  \n",
       "0                   190.990747          19          21     10.526316  \n",
       "1                    60.787190          34          42     23.529412  \n",
       "2                    48.652158          43          59     37.209302  \n",
       "3                    32.377961         106         132     24.528302  \n",
       "4                    24.728791          58          71     22.413793  \n",
       "5                    24.198413          18          22     22.222222  \n",
       "6                    22.097609         178         176     -1.123596  \n",
       "7                    14.238140         162         167      3.086420  \n",
       "8                    11.501095         111         108     -2.702703  \n",
       "9                     7.672939          92          99      7.608696  \n",
       "10                    5.009292          72          69     -4.166667  \n",
       "11                    1.681634          78          81      3.846154  \n",
       "12                   -2.383787          81          79     -2.469136  \n",
       "13                   -5.504835          26          28      7.692308  \n",
       "14                  -23.104763          41          40     -2.439024  \n",
       "15                  -27.614808          14          12    -14.285714  \n",
       "16                  -35.884283          45          48      6.666667  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"Сводная таблица\")\n",
    "data_subcat = pd.merge(data_subcat1, data_subcat2, on ='product_sub_category', how='inner')\n",
    "data_subcat = data_subcat.drop(data_subcat.columns[[4]], axis=1)\n",
    "data_subcat"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38e8e016",
   "metadata": {},
   "source": [
    "Эффективность\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "03d010d5",
   "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>year_transaction</th>\n",
       "      <th>discount_value</th>\n",
       "      <th>sales</th>\n",
       "      <th>burn_rate_pct</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2009</td>\n",
       "      <td>214330327</td>\n",
       "      <td>4613872681</td>\n",
       "      <td>4.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010</td>\n",
       "      <td>197506939</td>\n",
       "      <td>4059100607</td>\n",
       "      <td>4.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2011</td>\n",
       "      <td>214611556</td>\n",
       "      <td>4112036186</td>\n",
       "      <td>5.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012</td>\n",
       "      <td>225867642</td>\n",
       "      <td>4482983158</td>\n",
       "      <td>5.04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year_transaction  discount_value       sales  burn_rate_pct\n",
       "0              2009       214330327  4613872681           4.65\n",
       "1              2010       197506939  4059100607           4.87\n",
       "2              2011       214611556  4112036186           5.22\n",
       "3              2012       225867642  4482983158           5.04"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Burn rate — это среднее количество денег, которое компания теряет каждый месяц\n",
    "# Показатель определяет как быстро может «сгореть» бизнес\n",
    "\n",
    "# Эффективность и результативность проводимых рекламных акций будут проанализированы на основе скорости сжигания\n",
    "#Коэффициент прожига рассчитывается путем сравнения общей стоимости выпущенных рекламных акций с общим объемом полученных продаж\n",
    "\n",
    "data['order_date'] = pd.to_datetime(data['order_date'])\n",
    "data['year_transaction'] = data['order_date'].dt.year\n",
    "burn_rate_year = data[data['order_status'] == 'Order Finished'].groupby('year_transaction', \n",
    "                                                                        as_index=False)[['discount_value','sales']].sum()\n",
    "burn_rate_year = pd.DataFrame(burn_rate_year)\n",
    "burn_rate_year['burn_rate_pct'] = round(burn_rate_year['discount_value']/burn_rate_year['sales'] * 100, 2)\n",
    "burn_rate_year "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4a7fb425",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "sns.pointplot(data = burn_rate_year, \n",
    "              x='year_transaction', \n",
    "              y='burn_rate_pct')\n",
    "plt.ylim(4,6)\n",
    "plt.tight_layout()\n",
    "plt.xlabel('Год транзакций')\n",
    "plt.ylabel('Коэффициент прожига(%)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "79e18652",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2. Эффективность и результативность продвижения по подкатегориям товаров по 2012г.\n"
     ]
    },
    {
     "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>year_transaction</th>\n",
       "      <th>product_sub_category</th>\n",
       "      <th>discount_value</th>\n",
       "      <th>sales</th>\n",
       "      <th>burn_rate_pct</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2012</td>\n",
       "      <td>Scissors, Rulers &amp; Trimmers</td>\n",
       "      <td>2349280</td>\n",
       "      <td>36776400</td>\n",
       "      <td>6.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2012</td>\n",
       "      <td>Bookcases</td>\n",
       "      <td>10024365</td>\n",
       "      <td>159984680</td>\n",
       "      <td>6.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2012</td>\n",
       "      <td>Binders &amp; Binder Accessories</td>\n",
       "      <td>22338980</td>\n",
       "      <td>363879200</td>\n",
       "      <td>6.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2012</td>\n",
       "      <td>Office Machines</td>\n",
       "      <td>46616695</td>\n",
       "      <td>811427140</td>\n",
       "      <td>5.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2012</td>\n",
       "      <td>Appliances</td>\n",
       "      <td>14393300</td>\n",
       "      <td>266131100</td>\n",
       "      <td>5.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2012</td>\n",
       "      <td>Pens &amp; Art Supplies</td>\n",
       "      <td>2343501</td>\n",
       "      <td>43818480</td>\n",
       "      <td>5.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2012</td>\n",
       "      <td>Storage &amp; Organization</td>\n",
       "      <td>18802166</td>\n",
       "      <td>356714140</td>\n",
       "      <td>5.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2012</td>\n",
       "      <td>Computer Peripherals</td>\n",
       "      <td>15333293</td>\n",
       "      <td>308014340</td>\n",
       "      <td>4.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2012</td>\n",
       "      <td>Copiers &amp; Fax</td>\n",
       "      <td>14530870</td>\n",
       "      <td>292489800</td>\n",
       "      <td>4.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2012</td>\n",
       "      <td>Paper</td>\n",
       "      <td>6224694</td>\n",
       "      <td>126896160</td>\n",
       "      <td>4.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2012</td>\n",
       "      <td>Office Furnishings</td>\n",
       "      <td>8233849</td>\n",
       "      <td>178927480</td>\n",
       "      <td>4.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2012</td>\n",
       "      <td>Labels</td>\n",
       "      <td>452245</td>\n",
       "      <td>10007040</td>\n",
       "      <td>4.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2012</td>\n",
       "      <td>Telephones &amp; Communication</td>\n",
       "      <td>18800188</td>\n",
       "      <td>422287514</td>\n",
       "      <td>4.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2012</td>\n",
       "      <td>Tables</td>\n",
       "      <td>16348689</td>\n",
       "      <td>388993784</td>\n",
       "      <td>4.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>2012</td>\n",
       "      <td>Chairs &amp; Chairmats</td>\n",
       "      <td>26623882</td>\n",
       "      <td>654168740</td>\n",
       "      <td>4.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2012</td>\n",
       "      <td>Envelopes</td>\n",
       "      <td>2334321</td>\n",
       "      <td>58629280</td>\n",
       "      <td>3.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2012</td>\n",
       "      <td>Rubber Bands</td>\n",
       "      <td>117324</td>\n",
       "      <td>3837880</td>\n",
       "      <td>3.06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    year_transaction          product_sub_category  discount_value      sales  \\\n",
       "64              2012   Scissors, Rulers & Trimmers         2349280   36776400   \n",
       "53              2012                     Bookcases        10024365  159984680   \n",
       "52              2012  Binders & Binder Accessories        22338980  363879200   \n",
       "60              2012               Office Machines        46616695  811427140   \n",
       "51              2012                    Appliances        14393300  266131100   \n",
       "62              2012           Pens & Art Supplies         2343501   43818480   \n",
       "65              2012        Storage & Organization        18802166  356714140   \n",
       "55              2012          Computer Peripherals        15333293  308014340   \n",
       "56              2012                 Copiers & Fax        14530870  292489800   \n",
       "61              2012                         Paper         6224694  126896160   \n",
       "59              2012            Office Furnishings         8233849  178927480   \n",
       "58              2012                        Labels          452245   10007040   \n",
       "67              2012    Telephones & Communication        18800188  422287514   \n",
       "66              2012                        Tables        16348689  388993784   \n",
       "54              2012            Chairs & Chairmats        26623882  654168740   \n",
       "57              2012                     Envelopes         2334321   58629280   \n",
       "63              2012                  Rubber Bands          117324    3837880   \n",
       "\n",
       "    burn_rate_pct  \n",
       "64           6.39  \n",
       "53           6.27  \n",
       "52           6.14  \n",
       "60           5.75  \n",
       "51           5.41  \n",
       "62           5.35  \n",
       "65           5.27  \n",
       "55           4.98  \n",
       "56           4.97  \n",
       "61           4.91  \n",
       "59           4.60  \n",
       "58           4.52  \n",
       "67           4.45  \n",
       "66           4.20  \n",
       "54           4.07  \n",
       "57           3.98  \n",
       "63           3.06  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"2. Эффективность и результативность продвижения по подкатегориям товаров по 2012г.\")\n",
    "# Таблица для рассчета коэффициента прожига рекламной акции вцелом на основе подкатегории\n",
    "burn_rate_sub_category = data[data['order_status'] == 'Order Finished'].groupby(['year_transaction', 'product_sub_category'], as_index=False)[['discount_value','sales']].sum()\n",
    "burn_rate_sub_category['burn_rate_pct'] = round(burn_rate_sub_category['discount_value']/burn_rate_sub_category['sales'] * 100, 2)\n",
    "burn_rate_sub_category = pd.DataFrame(burn_rate_sub_category)\n",
    "burn_rate_sub_category = burn_rate_sub_category.loc[burn_rate_sub_category['year_transaction'] == 2012]\n",
    "burn_rate_sub_category = burn_rate_sub_category.sort_values(by ='burn_rate_pct', ascending=False)\n",
    "burn_rate_sub_category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "2ef57549",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "График процента выгорания в разбивке по подкатегориям\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"График процента выгорания в разбивке по подкатегориям\")\n",
    "\n",
    "burn_rate_sub_category.plot(x='product_sub_category', y='burn_rate_pct', kind='barh', title='Коэффициент сжигания в разбивке по подкатегориям в 2012 году')\n",
    "plt.xlabel('Продукт суб-категории')\n",
    "plt.ylabel('Коэффициент прожига(%)')\n",
    "plt.legend().set_visible(False) # убрали видмость легенды\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "dec48cd5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3. Транзакции клиентов в год\n",
      "\n",
      "3.1 Количество клиентов, совершивших транзакцию, по годам\n"
     ]
    },
    {
     "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>year_transaction</th>\n",
       "      <th>customer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2009</td>\n",
       "      <td>585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010</td>\n",
       "      <td>593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2011</td>\n",
       "      <td>581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012</td>\n",
       "      <td>594</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year_transaction  customer\n",
       "0              2009       585\n",
       "1              2010       593\n",
       "2              2011       581\n",
       "3              2012       594"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"3. Транзакции клиентов в год\")\n",
    "print(\"\\n3.1 Количество клиентов, совершивших транзакцию, по годам\")\n",
    "\n",
    "# таблица - Количество Клиентов, совершивших Транзакцию, по годам\n",
    "\n",
    "num_customer = data[data['order_status'] == 'Order Finished'].groupby('year_transaction', as_index=False)['customer'].nunique()\n",
    "# nunique считает кол-во уникальных записей. Не sum, т.к. 1 чел мог совершить несколько покупок\n",
    "num_customer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f967dc36",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "График количества Клиентов, совершивших транзакцию, по годам\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"График количества Клиентов, совершивших транзакцию, по годам\")\n",
    "\n",
    "sns.pointplot(data = num_customer, \n",
    "              x='year_transaction', \n",
    "              y='customer')\n",
    "plt.ylim(570, 600)\n",
    "plt.tight_layout()\n",
    "plt.xlabel('Год транзакций')\n",
    "plt.ylabel('Кол-во клиентов')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c5e051cc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.2 Привлечение клиентов в год\n"
     ]
    },
    {
     "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>customer</th>\n",
       "      <th>first_year_as_customer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Muhammed Mac Intyre</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Barry French</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Clay Rozendal</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Carlos Soltero</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Carl Jackson</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>770</th>\n",
       "      <td>Catherine Glotzbach</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>771</th>\n",
       "      <td>Frank Olsen</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>772</th>\n",
       "      <td>Alice Mc Carthy</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773</th>\n",
       "      <td>Frank Merwin</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>774</th>\n",
       "      <td>Bruce Money</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>775 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                customer  first_year_as_customer\n",
       "0    Muhammed Mac Intyre                    2009\n",
       "1           Barry French                    2010\n",
       "2          Clay Rozendal                    2009\n",
       "3         Carlos Soltero                    2009\n",
       "4           Carl Jackson                    2010\n",
       "..                   ...                     ...\n",
       "770  Catherine Glotzbach                    2010\n",
       "771          Frank Olsen                    2009\n",
       "772      Alice Mc Carthy                    2010\n",
       "773         Frank Merwin                    2010\n",
       "774          Bruce Money                    2012\n",
       "\n",
       "[775 rows x 2 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"3.2 Привлечение клиентов в год\")\n",
    "\n",
    "# таблица - Количество новых клиентов каждый год. Показаны все имена людей и выходит большая табл\n",
    "customer = pd.DataFrame(data['customer'].unique())\n",
    "customer.columns = ['customer']\n",
    "# Для каждого покупателя смотрим ранний год покупки - это будет \"первым годом\"\n",
    "first_year = data[data['order_status'] == 'Order Finished'].groupby('customer').year_transaction.min().reset_index()\n",
    "first_year.columns = ['customer', 'first_year_as_customer']\n",
    "customer = pd.merge(customer, first_year[['customer','first_year_as_customer']], on='customer')\n",
    "customer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "11616eb2",
   "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>first_year_as_customer</th>\n",
       "      <th>customer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2009</td>\n",
       "      <td>585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010</td>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2011</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   first_year_as_customer  customer\n",
       "0                    2009       585\n",
       "1                    2010       141\n",
       "2                    2011        38\n",
       "3                    2012        11"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# таблица - Суммарное количество новых клиентов каждый год. Показано общ кол-во по годам\n",
    "customer = pd.DataFrame(customer)\n",
    "customer = customer.groupby('first_year_as_customer', as_index=False)['customer'].count()#количество записей\n",
    "# если сделать sum- то будут переданы все имена покупателей\n",
    "customer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "ad134cd1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "График - Количество новых клиентов по годам\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"График - Количество новых клиентов по годам\")\n",
    "customer.plot(x='first_year_as_customer', y='customer', kind='bar', title='Количество новых клиентов каждый год')\n",
    "plt.xlabel('Год')\n",
    "plt.ylabel('Кол-во клиентов')\n",
    "plt.legend().set_visible(False)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3148caa",
   "metadata": {},
   "source": [
    "Удержание клиентов по показателям 2012г"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e352567e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\570B~1\\AppData\\Local\\Temp/ipykernel_8280/2441302998.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data1['year_transaction'] = data1['year_transaction'].astype(int)\n",
      "C:\\Users\\570B~1\\AppData\\Local\\Temp/ipykernel_8280/2441302998.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data2['month_transaction'] = data2['order_date'].dt.month # показывает только номер месяца из полной даты\n",
      "C:\\Users\\570B~1\\AppData\\Local\\Temp/ipykernel_8280/2441302998.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data2['first_transaction_month'] = customer_by_month.transform('min')\n",
      "C:\\Users\\570B~1\\AppData\\Local\\Temp/ipykernel_8280/2441302998.py:9: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data2['lifetime'] = data2['month_transaction'] - data2['first_transaction_month']\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>order_status</th>\n",
       "      <th>customer</th>\n",
       "      <th>order_date</th>\n",
       "      <th>order_quantity</th>\n",
       "      <th>sales</th>\n",
       "      <th>discount</th>\n",
       "      <th>discount_value</th>\n",
       "      <th>product_category</th>\n",
       "      <th>product_sub_category</th>\n",
       "      <th>year_transaction</th>\n",
       "      <th>month_transaction</th>\n",
       "      <th>first_transaction_month</th>\n",
       "      <th>lifetime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>293</td>\n",
       "      <td>Order Finished</td>\n",
       "      <td>Barry French</td>\n",
       "      <td>2012-10-01</td>\n",
       "      <td>49</td>\n",
       "      <td>20246040</td>\n",
       "      <td>0.07</td>\n",
       "      <td>1417223</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Appliances</td>\n",
       "      <td>2012</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>868</td>\n",
       "      <td>Order Finished</td>\n",
       "      <td>Carlos Daly</td>\n",
       "      <td>2012-06-08</td>\n",
       "      <td>32</td>\n",
       "      <td>1433680</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Appliances</td>\n",
       "      <td>2012</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>933</td>\n",
       "      <td>Order Finished</td>\n",
       "      <td>Claudia Miner</td>\n",
       "      <td>2012-08-04</td>\n",
       "      <td>15</td>\n",
       "      <td>161220</td>\n",
       "      <td>0.02</td>\n",
       "      <td>3224</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Binders &amp; Binder Accessories</td>\n",
       "      <td>2012</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1154</td>\n",
       "      <td>Order Finished</td>\n",
       "      <td>Sylvia Foulston</td>\n",
       "      <td>2012-02-14</td>\n",
       "      <td>44</td>\n",
       "      <td>8924460</td>\n",
       "      <td>0.04</td>\n",
       "      <td>356978</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Bookcases</td>\n",
       "      <td>2012</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1344</td>\n",
       "      <td>Order Finished</td>\n",
       "      <td>Jim Radford</td>\n",
       "      <td>2012-04-15</td>\n",
       "      <td>15</td>\n",
       "      <td>1669808</td>\n",
       "      <td>0.06</td>\n",
       "      <td>100188</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Telephones &amp; Communication</td>\n",
       "      <td>2012</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5475</th>\n",
       "      <td>52673</td>\n",
       "      <td>Order Finished</td>\n",
       "      <td>Jas O'Carroll</td>\n",
       "      <td>2012-05-08</td>\n",
       "      <td>14</td>\n",
       "      <td>4090132</td>\n",
       "      <td>0.07</td>\n",
       "      <td>286309</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Telephones &amp; Communication</td>\n",
       "      <td>2012</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5476</th>\n",
       "      <td>53026</td>\n",
       "      <td>Order Finished</td>\n",
       "      <td>Eva Jacobs</td>\n",
       "      <td>2012-02-26</td>\n",
       "      <td>35</td>\n",
       "      <td>645640</td>\n",
       "      <td>0.05</td>\n",
       "      <td>32282</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Scissors, Rulers &amp; Trimmers</td>\n",
       "      <td>2012</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5483</th>\n",
       "      <td>57152</td>\n",
       "      <td>Order Finished</td>\n",
       "      <td>Philip Brown</td>\n",
       "      <td>2012-09-03</td>\n",
       "      <td>6</td>\n",
       "      <td>45780</td>\n",
       "      <td>0.08</td>\n",
       "      <td>3662</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Binders &amp; Binder Accessories</td>\n",
       "      <td>2012</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5489</th>\n",
       "      <td>5767</td>\n",
       "      <td>Order Finished</td>\n",
       "      <td>Lisa De Cherney</td>\n",
       "      <td>2012-04-28</td>\n",
       "      <td>36</td>\n",
       "      <td>327080</td>\n",
       "      <td>0.03</td>\n",
       "      <td>9812</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Binders &amp; Binder Accessories</td>\n",
       "      <td>2012</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5495</th>\n",
       "      <td>52706</td>\n",
       "      <td>Order Finished</td>\n",
       "      <td>Paul Prost</td>\n",
       "      <td>2012-07-09</td>\n",
       "      <td>34</td>\n",
       "      <td>2083320</td>\n",
       "      <td>0.02</td>\n",
       "      <td>41666</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Binders &amp; Binder Accessories</td>\n",
       "      <td>2012</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1254 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      order_id    order_status         customer order_date  order_quantity  \\\n",
       "1          293  Order Finished     Barry French 2012-10-01              49   \n",
       "8          868  Order Finished      Carlos Daly 2012-06-08              32   \n",
       "9          933  Order Finished    Claudia Miner 2012-08-04              15   \n",
       "12        1154  Order Finished  Sylvia Foulston 2012-02-14              44   \n",
       "13        1344  Order Finished      Jim Radford 2012-04-15              15   \n",
       "...        ...             ...              ...        ...             ...   \n",
       "5475     52673  Order Finished    Jas O'Carroll 2012-05-08              14   \n",
       "5476     53026  Order Finished       Eva Jacobs 2012-02-26              35   \n",
       "5483     57152  Order Finished     Philip Brown 2012-09-03               6   \n",
       "5489      5767  Order Finished  Lisa De Cherney 2012-04-28              36   \n",
       "5495     52706  Order Finished       Paul Prost 2012-07-09              34   \n",
       "\n",
       "         sales  discount  discount_value product_category  \\\n",
       "1     20246040      0.07         1417223  Office Supplies   \n",
       "8      1433680      0.00               0  Office Supplies   \n",
       "9       161220      0.02            3224  Office Supplies   \n",
       "12     8924460      0.04          356978        Furniture   \n",
       "13     1669808      0.06          100188       Technology   \n",
       "...        ...       ...             ...              ...   \n",
       "5475   4090132      0.07          286309       Technology   \n",
       "5476    645640      0.05           32282  Office Supplies   \n",
       "5483     45780      0.08            3662  Office Supplies   \n",
       "5489    327080      0.03            9812  Office Supplies   \n",
       "5495   2083320      0.02           41666  Office Supplies   \n",
       "\n",
       "              product_sub_category  year_transaction  month_transaction  \\\n",
       "1                       Appliances              2012                 10   \n",
       "8                       Appliances              2012                  6   \n",
       "9     Binders & Binder Accessories              2012                  8   \n",
       "12                       Bookcases              2012                  2   \n",
       "13      Telephones & Communication              2012                  4   \n",
       "...                            ...               ...                ...   \n",
       "5475    Telephones & Communication              2012                  5   \n",
       "5476   Scissors, Rulers & Trimmers              2012                  2   \n",
       "5483  Binders & Binder Accessories              2012                  9   \n",
       "5489  Binders & Binder Accessories              2012                  4   \n",
       "5495  Binders & Binder Accessories              2012                  7   \n",
       "\n",
       "      first_transaction_month  lifetime  \n",
       "1                           2         8  \n",
       "8                           6         0  \n",
       "9                           4         4  \n",
       "12                          2         0  \n",
       "13                          4         0  \n",
       "...                       ...       ...  \n",
       "5475                        5         0  \n",
       "5476                        1         1  \n",
       "5483                        9         0  \n",
       "5489                        4         0  \n",
       "5495                        7         0  \n",
       "\n",
       "[1254 rows x 14 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# полная таблица с исходными данными + новые колонки\n",
    "data1['year_transaction'] = data1['year_transaction'].astype(int)\n",
    "data2 = data1.loc[data1['year_transaction'] == 2012]\n",
    "data2['month_transaction'] = data2['order_date'].dt.month # показывает только номер месяца из полной даты\n",
    "\n",
    "customer_by_month = data2.groupby('customer')['month_transaction']\n",
    "#transform('min') - преобразует данные таблицы от мин к макс\n",
    "data2['first_transaction_month'] = customer_by_month.transform('min')\n",
    "data2['lifetime'] = data2['month_transaction'] - data2['first_transaction_month']\n",
    "data2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "eab08bdb",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>first_transaction_month</th>\n",
       "      <th>lifetime</th>\n",
       "      <th>customer</th>\n",
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       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
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       "      <td>95</td>\n",
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       "    <tr>\n",
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       "      <td>20</td>\n",
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       "      <th>3</th>\n",
       "      <td>1</td>\n",
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       "      <td>17</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <th>73</th>\n",
       "      <td>10</td>\n",
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       "      <th>74</th>\n",
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       "      <th>75</th>\n",
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       "      <td>0</td>\n",
       "      <td>18</td>\n",
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       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>78 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    first_transaction_month  lifetime  customer\n",
       "0                         1         0        95\n",
       "1                         1         1        14\n",
       "2                         1         2        20\n",
       "3                         1         3        17\n",
       "4                         1         4        12\n",
       "..                      ...       ...       ...\n",
       "73                       10         1         5\n",
       "74                       10         2         2\n",
       "75                       11         0        18\n",
       "76                       11         1         3\n",
       "77                       12         0        15\n",
       "\n",
       "[78 rows x 3 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# информация по общему кол-ву покупателей, месяцем первой транзакции и циклу между последнем и первым месяцем\n",
    "customer_by_month = data2.groupby(['first_transaction_month','lifetime'])\n",
    "# apply - Применение функции\n",
    "cohort_data = customer_by_month['customer'].apply(pd.Series.nunique)\n",
    "cohort_data = cohort_data.reset_index()\n",
    "cohort_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "bd3911ec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Коэффициент удержания пользователей(%) - месячная когорта в 2012г\n"
     ]
    },
    {
     "data": {
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       "      <td>100.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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      ],
      "text/plain": [
       "lifetime                    0     1     2     3     4     5     6     7   \\\n",
       "first_transaction_month                                                    \n",
       "1                        100.0  14.7  21.1  17.9  12.6   8.4  10.5  14.7   \n",
       "2                        100.0  13.9  13.9  11.1  20.8   6.9  15.3  15.3   \n",
       "3                        100.0  13.4  18.3  12.2  17.1  13.4   9.8   9.8   \n",
       "4                        100.0  23.1   7.7  12.3  13.8  21.5  12.3  10.8   \n",
       "5                        100.0   9.4  14.1  17.2   9.4  10.9  12.5   9.4   \n",
       "6                        100.0   7.1  19.0   9.5  26.2  16.7   9.5   NaN   \n",
       "7                        100.0   9.1  11.4  11.4   2.3   6.8   NaN   NaN   \n",
       "8                        100.0  18.9  13.5   5.4   2.7   NaN   NaN   NaN   \n",
       "9                        100.0  12.9   6.5  12.9   NaN   NaN   NaN   NaN   \n",
       "10                       100.0  17.2   6.9   NaN   NaN   NaN   NaN   NaN   \n",
       "11                       100.0  16.7   NaN   NaN   NaN   NaN   NaN   NaN   \n",
       "12                       100.0   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
       "\n",
       "lifetime                   8     9     10    11  \n",
       "first_transaction_month                          \n",
       "1                        21.1  18.9  13.7  18.9  \n",
       "2                        16.7  11.1   9.7   NaN  \n",
       "3                         8.5   7.3   NaN   NaN  \n",
       "4                        15.4   NaN   NaN   NaN  \n",
       "5                         NaN   NaN   NaN   NaN  \n",
       "6                         NaN   NaN   NaN   NaN  \n",
       "7                         NaN   NaN   NaN   NaN  \n",
       "8                         NaN   NaN   NaN   NaN  \n",
       "9                         NaN   NaN   NaN   NaN  \n",
       "10                        NaN   NaN   NaN   NaN  \n",
       "11                        NaN   NaN   NaN   NaN  \n",
       "12                        NaN   NaN   NaN   NaN  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"Коэффициент удержания пользователей(%) - месячная когорта в 2012г\")\n",
    "# Присвоение имен столбцов фрейму данных, созданному выше\n",
    "cohort_counts = cohort_data.pivot(index='first_transaction_month',\n",
    "                                 columns ='lifetime',\n",
    "                                 values = 'customer')\n",
    "#iloc - поиск строки или столбца по его «целочисленному индексу» : -все строки и 0 - 1 столбец\n",
    "cohort_sizes = cohort_counts.iloc[:,0]\n",
    "# divide() истинное деление + корректирует тип данных выходного массива вне зависимости от типов данных входных массивов.\n",
    "retention = cohort_counts.divide(cohort_sizes, axis=0)\n",
    "# Преобразование коэффициента удержания в проценты и округление.\n",
    "retention = retention.round(3)*100\n",
    "retention"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "01776b08",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "3fe762d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Коэффициент удержания пользователей(%) - месячная когорта в 2012г')"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(16,9))\n",
    "sns.heatmap(retention, annot=True, fmt='g', cmap='RdPu')\n",
    "plt.ylabel('Первый месяц транзакций')\n",
    "plt.xlabel('Цикл между первым и последующим месяцем покупки')\n",
    "plt.yticks(rotation=0)\n",
    "plt.title('Коэффициент удержания пользователей(%) - месячная когорта в 2012г')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "14216643",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}