quantiumtask1.ipynb

{
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    "tags": []
   },
   "source": [
    "# QUANTIUM DATA ANALYTICS VIRTUAL EXPERIENCE PROGRAM "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/kaggle/input/quantium-data-analytics-virtual-experience-program/PurchaseBehaviour.csv\n",
      "/kaggle/input/quantium-data-analytics-virtual-experience-program/Transactions.csv\n"
     ]
    }
   ],
   "source": [
    "import numpy as np \n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import re\n",
    "import matplotlib.style as style\n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
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     "start_time": "2020-08-19T16:13:37.955906",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Read ***Transactions.csv*** and ***PurchaseBehaviour.csv***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "_cell_guid": "79c7e3d0-c299-4dcb-8224-4455121ee9b0",
    "_uuid": "d629ff2d2480ee46fbb7e2d37f6b5fab8052498a",
    "execution": {
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    "tags": []
   },
   "outputs": [],
   "source": [
    "t_data=pd.read_csv(\"/kaggle/input/quantium-data-analytics-virtual-experience-program/Transactions.csv\")\n",
    "pb_data=pd.read_csv(\"/kaggle/input/quantium-data-analytics-virtual-experience-program/PurchaseBehaviour.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
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     "start_time": "2020-08-19T16:13:38.539629",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# DATA CLEANING\n",
    "\n",
    "Looking at the shape of our data *(rows,columns)*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "(264836, 8)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
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     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Looking at first five entries of Transactions.csv:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
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    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE</th>\n",
       "      <th>STORE_NBR</th>\n",
       "      <th>LYLTY_CARD_NBR</th>\n",
       "      <th>TXN_ID</th>\n",
       "      <th>PROD_NBR</th>\n",
       "      <th>PROD_NAME</th>\n",
       "      <th>PROD_QTY</th>\n",
       "      <th>TOT_SALES</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>43390</td>\n",
       "      <td>1</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>Natural Chip        Compny SeaSalt175g</td>\n",
       "      <td>2</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>43599</td>\n",
       "      <td>1</td>\n",
       "      <td>1307</td>\n",
       "      <td>348</td>\n",
       "      <td>66</td>\n",
       "      <td>CCs Nacho Cheese    175g</td>\n",
       "      <td>3</td>\n",
       "      <td>6.3</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>43605</td>\n",
       "      <td>1</td>\n",
       "      <td>1343</td>\n",
       "      <td>383</td>\n",
       "      <td>61</td>\n",
       "      <td>Smiths Crinkle Cut  Chips Chicken 170g</td>\n",
       "      <td>2</td>\n",
       "      <td>2.9</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>43329</td>\n",
       "      <td>2</td>\n",
       "      <td>2373</td>\n",
       "      <td>974</td>\n",
       "      <td>69</td>\n",
       "      <td>Smiths Chip Thinly  S/Cream&amp;Onion 175g</td>\n",
       "      <td>5</td>\n",
       "      <td>15.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>43330</td>\n",
       "      <td>2</td>\n",
       "      <td>2426</td>\n",
       "      <td>1038</td>\n",
       "      <td>108</td>\n",
       "      <td>Kettle Tortilla ChpsHny&amp;Jlpno Chili 150g</td>\n",
       "      <td>3</td>\n",
       "      <td>13.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
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       "    DATE  STORE_NBR  LYLTY_CARD_NBR  TXN_ID  PROD_NBR  \\\n",
       "0  43390          1            1000       1         5   \n",
       "1  43599          1            1307     348        66   \n",
       "2  43605          1            1343     383        61   \n",
       "3  43329          2            2373     974        69   \n",
       "4  43330          2            2426    1038       108   \n",
       "\n",
       "                                  PROD_NAME  PROD_QTY  TOT_SALES  \n",
       "0    Natural Chip        Compny SeaSalt175g         2        6.0  \n",
       "1                  CCs Nacho Cheese    175g         3        6.3  \n",
       "2    Smiths Crinkle Cut  Chips Chicken 170g         2        2.9  \n",
       "3    Smiths Chip Thinly  S/Cream&Onion 175g         5       15.0  \n",
       "4  Kettle Tortilla ChpsHny&Jlpno Chili 150g         3       13.8  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
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     "start_time": "2020-08-19T16:13:38.765347",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Converting the date offset value in **DATE** column into a ISO date format:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
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    "tags": []
   },
   "outputs": [],
   "source": [
    "base_date = pd.Timestamp('1899-12-30')\n",
    "t_data.DATE= t_data['DATE'].map(lambda x: base_date + pd.DateOffset(x))\n",
    "t_data['DATE'] = t_data['DATE'].map(lambda x:x.date())"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.018312,
     "end_time": "2020-08-19T16:13:49.139320",
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     "start_time": "2020-08-19T16:13:49.121008",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Creating a new **DAY** column containing weekday name of the transaction:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:49.187819Z",
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     "start_time": "2020-08-19T16:13:49.158185",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "t_data['DAY'] = t_data['DATE'].map(lambda x: x.strftime(\"%A\") )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
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   },
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE</th>\n",
       "      <th>STORE_NBR</th>\n",
       "      <th>LYLTY_CARD_NBR</th>\n",
       "      <th>TXN_ID</th>\n",
       "      <th>PROD_NBR</th>\n",
       "      <th>PROD_NAME</th>\n",
       "      <th>PROD_QTY</th>\n",
       "      <th>TOT_SALES</th>\n",
       "      <th>DAY</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-10-17</td>\n",
       "      <td>1</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>Natural Chip        Compny SeaSalt175g</td>\n",
       "      <td>2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-05-14</td>\n",
       "      <td>1</td>\n",
       "      <td>1307</td>\n",
       "      <td>348</td>\n",
       "      <td>66</td>\n",
       "      <td>CCs Nacho Cheese    175g</td>\n",
       "      <td>3</td>\n",
       "      <td>6.3</td>\n",
       "      <td>Tuesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-05-20</td>\n",
       "      <td>1</td>\n",
       "      <td>1343</td>\n",
       "      <td>383</td>\n",
       "      <td>61</td>\n",
       "      <td>Smiths Crinkle Cut  Chips Chicken 170g</td>\n",
       "      <td>2</td>\n",
       "      <td>2.9</td>\n",
       "      <td>Monday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-08-17</td>\n",
       "      <td>2</td>\n",
       "      <td>2373</td>\n",
       "      <td>974</td>\n",
       "      <td>69</td>\n",
       "      <td>Smiths Chip Thinly  S/Cream&amp;Onion 175g</td>\n",
       "      <td>5</td>\n",
       "      <td>15.0</td>\n",
       "      <td>Friday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-08-18</td>\n",
       "      <td>2</td>\n",
       "      <td>2426</td>\n",
       "      <td>1038</td>\n",
       "      <td>108</td>\n",
       "      <td>Kettle Tortilla ChpsHny&amp;Jlpno Chili 150g</td>\n",
       "      <td>3</td>\n",
       "      <td>13.8</td>\n",
       "      <td>Saturday</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "         DATE  STORE_NBR  LYLTY_CARD_NBR  TXN_ID  PROD_NBR  \\\n",
       "0  2018-10-17          1            1000       1         5   \n",
       "1  2019-05-14          1            1307     348        66   \n",
       "2  2019-05-20          1            1343     383        61   \n",
       "3  2018-08-17          2            2373     974        69   \n",
       "4  2018-08-18          2            2426    1038       108   \n",
       "\n",
       "                                  PROD_NAME  PROD_QTY  TOT_SALES        DAY  \n",
       "0    Natural Chip        Compny SeaSalt175g         2        6.0  Wednesday  \n",
       "1                  CCs Nacho Cheese    175g         3        6.3    Tuesday  \n",
       "2    Smiths Crinkle Cut  Chips Chicken 170g         2        2.9     Monday  \n",
       "3    Smiths Chip Thinly  S/Cream&Onion 175g         5       15.0     Friday  \n",
       "4  Kettle Tortilla ChpsHny&Jlpno Chili 150g         3       13.8   Saturday  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
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     "end_time": "2020-08-19T16:13:50.484806",
     "exception": false,
     "start_time": "2020-08-19T16:13:50.466352",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Extracting product weight from the **PROD_NAME** colmun and storing it in a new **PROD_WEIGHT** column:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:50.531040Z",
     "iopub.status.busy": "2020-08-19T16:13:50.530103Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "t_data['PROD_WEIGHT'] = t_data['PROD_NAME'].map(lambda x: float(''.join(re.findall(r'\\d+', x))))"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
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     "duration": 0.018372,
     "end_time": "2020-08-19T16:13:51.799505",
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     "start_time": "2020-08-19T16:13:51.781133",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Removing the product weight information from **PROD_NAME** column:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:51.846198Z",
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     "status": "completed"
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    "tags": []
   },
   "outputs": [],
   "source": [
    "t_data['PROD_NAME'] = t_data['PROD_NAME'].map(lambda x: ''.join(re.findall(r'\\D+', x))[:-1])"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
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     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Checking for products that are chips:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:52.834908Z",
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     "status": "completed"
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   "outputs": [
    {
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       "      <td>Wednesday</td>\n",
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       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>66</td>\n",
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       "      <td>974</td>\n",
       "      <td>69</td>\n",
       "      <td>Smiths Chip Thinly  S/Cream&amp;Onion</td>\n",
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       "      <td>108</td>\n",
       "      <td>Kettle Tortilla ChpsHny&amp;Jlpno Chili</td>\n",
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       "      <td>13.8</td>\n",
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       "         DATE  STORE_NBR  LYLTY_CARD_NBR  TXN_ID  PROD_NBR  \\\n",
       "0  2018-10-17          1            1000       1         5   \n",
       "1  2019-05-14          1            1307     348        66   \n",
       "2  2019-05-20          1            1343     383        61   \n",
       "3  2018-08-17          2            2373     974        69   \n",
       "4  2018-08-18          2            2426    1038       108   \n",
       "\n",
       "                              PROD_NAME  PROD_QTY  TOT_SALES        DAY  \\\n",
       "0    Natural Chip        Compny SeaSalt         2        6.0  Wednesday   \n",
       "1                  CCs Nacho Cheese             3        6.3    Tuesday   \n",
       "2    Smiths Crinkle Cut  Chips Chicken          2        2.9     Monday   \n",
       "3    Smiths Chip Thinly  S/Cream&Onion          5       15.0     Friday   \n",
       "4  Kettle Tortilla ChpsHny&Jlpno Chili          3       13.8   Saturday   \n",
       "\n",
       "   PROD_WEIGHT  Is_Chip  \n",
       "0        175.0     True  \n",
       "1        175.0    False  \n",
       "2        170.0     True  \n",
       "3        175.0     True  \n",
       "4        150.0    False  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_data['Is_Chip'] = t_data['PROD_NAME'].map(lambda x: 'chip' in x.lower())\n",
    "t_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
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     "duration": 0.019196,
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     "start_time": "2020-08-19T16:13:52.999737",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Removing products from data that aren't chips:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:53.067171Z",
     "iopub.status.busy": "2020-08-19T16:13:53.065888Z",
     "iopub.status.idle": "2020-08-19T16:13:53.353866Z",
     "shell.execute_reply": "2020-08-19T16:13:53.352455Z"
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "t_data.drop(t_data[t_data['Is_Chip'] == False].index, inplace = True) \n",
    "t_data.drop(['Is_Chip'], axis = 1, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:53.417129Z",
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   },
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
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       "      <td>4525</td>\n",
       "      <td>42</td>\n",
       "      <td>Doritos Corn Chip Mexican Jalapeno</td>\n",
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      "text/plain": [
       "         DATE  STORE_NBR  LYLTY_CARD_NBR  TXN_ID  PROD_NBR  \\\n",
       "0  2018-10-17          1            1000       1         5   \n",
       "2  2019-05-20          1            1343     383        61   \n",
       "3  2018-08-17          2            2373     974        69   \n",
       "6  2019-05-16          4            4149    3333        16   \n",
       "8  2018-08-20          5            5026    4525        42   \n",
       "\n",
       "                              PROD_NAME  PROD_QTY  TOT_SALES        DAY  \\\n",
       "0    Natural Chip        Compny SeaSalt         2        6.0  Wednesday   \n",
       "2    Smiths Crinkle Cut  Chips Chicken          2        2.9     Monday   \n",
       "3    Smiths Chip Thinly  S/Cream&Onion          5       15.0     Friday   \n",
       "6  Smiths Crinkle Chips Salt & Vinegar          1        5.7   Thursday   \n",
       "8   Doritos Corn Chip Mexican Jalapeno          1        3.9     Monday   \n",
       "\n",
       "   PROD_WEIGHT  \n",
       "0        175.0  \n",
       "2        170.0  \n",
       "3        175.0  \n",
       "6        330.0  \n",
       "8        150.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
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     "duration": 0.019226,
     "end_time": "2020-08-19T16:13:53.461646",
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     "start_time": "2020-08-19T16:13:53.442420",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "The name of the brand of the product is the first word of **PROD_NAME**\n",
    "\n",
    "Extracting brand name and storing in a new **BRAND** column:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:53.516121Z",
     "iopub.status.busy": "2020-08-19T16:13:53.514981Z",
     "iopub.status.idle": "2020-08-19T16:13:53.526876Z",
     "shell.execute_reply": "2020-08-19T16:13:53.525948Z"
    },
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     "duration": 0.045594,
     "end_time": "2020-08-19T16:13:53.527070",
     "exception": false,
     "start_time": "2020-08-19T16:13:53.481476",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Natural'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " t_data['PROD_NAME'][0].split(' ', 1)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:53.582669Z",
     "iopub.status.busy": "2020-08-19T16:13:53.581794Z",
     "iopub.status.idle": "2020-08-19T16:13:53.650542Z",
     "shell.execute_reply": "2020-08-19T16:13:53.649754Z"
    },
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     "end_time": "2020-08-19T16:13:53.650750",
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     "start_time": "2020-08-19T16:13:53.549466",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "t_data['BRAND'] = t_data['PROD_NAME'].map(lambda x: x.split(' ', 1)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:53.718873Z",
     "iopub.status.busy": "2020-08-19T16:13:53.717598Z",
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       "      <td>150.0</td>\n",
       "      <td>Doritos</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         DATE  STORE_NBR  LYLTY_CARD_NBR  TXN_ID  PROD_NBR  \\\n",
       "0  2018-10-17          1            1000       1         5   \n",
       "2  2019-05-20          1            1343     383        61   \n",
       "3  2018-08-17          2            2373     974        69   \n",
       "6  2019-05-16          4            4149    3333        16   \n",
       "8  2018-08-20          5            5026    4525        42   \n",
       "\n",
       "                              PROD_NAME  PROD_QTY  TOT_SALES        DAY  \\\n",
       "0    Natural Chip        Compny SeaSalt         2        6.0  Wednesday   \n",
       "2    Smiths Crinkle Cut  Chips Chicken          2        2.9     Monday   \n",
       "3    Smiths Chip Thinly  S/Cream&Onion          5       15.0     Friday   \n",
       "6  Smiths Crinkle Chips Salt & Vinegar          1        5.7   Thursday   \n",
       "8   Doritos Corn Chip Mexican Jalapeno          1        3.9     Monday   \n",
       "\n",
       "   PROD_WEIGHT    BRAND  \n",
       "0        175.0  Natural  \n",
       "2        170.0   Smiths  \n",
       "3        175.0   Smiths  \n",
       "6        330.0   Smiths  \n",
       "8        150.0  Doritos  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.020742,
     "end_time": "2020-08-19T16:13:53.768278",
     "exception": false,
     "start_time": "2020-08-19T16:13:53.747536",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Checking if there are any nulls in the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:53.861631Z",
     "iopub.status.busy": "2020-08-19T16:13:53.860627Z",
     "iopub.status.idle": "2020-08-19T16:13:53.881967Z",
     "shell.execute_reply": "2020-08-19T16:13:53.881023Z"
    },
    "papermill": {
     "duration": 0.087873,
     "end_time": "2020-08-19T16:13:53.882137",
     "exception": false,
     "start_time": "2020-08-19T16:13:53.794264",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DATE              0\n",
       "STORE_NBR         0\n",
       "LYLTY_CARD_NBR    0\n",
       "TXN_ID            0\n",
       "PROD_NBR          0\n",
       "PROD_NAME         0\n",
       "PROD_QTY          0\n",
       "TOT_SALES         0\n",
       "DAY               0\n",
       "PROD_WEIGHT       0\n",
       "BRAND             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_data.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.020734,
     "end_time": "2020-08-19T16:13:53.924035",
     "exception": false,
     "start_time": "2020-08-19T16:13:53.903301",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Looking at first five entries of PurchasingBeahviour.csv:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:53.981794Z",
     "iopub.status.busy": "2020-08-19T16:13:53.980429Z",
     "iopub.status.idle": "2020-08-19T16:13:53.986525Z",
     "shell.execute_reply": "2020-08-19T16:13:53.985847Z"
    },
    "papermill": {
     "duration": 0.040924,
     "end_time": "2020-08-19T16:13:53.986692",
     "exception": false,
     "start_time": "2020-08-19T16:13:53.945768",
     "status": "completed"
    },
    "tags": []
   },
   "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>LYLTY_CARD_NBR</th>\n",
       "      <th>LIFESTAGE</th>\n",
       "      <th>PREMIUM_CUSTOMER</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1000</td>\n",
       "      <td>YOUNG SINGLES/COUPLES</td>\n",
       "      <td>Premium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1002</td>\n",
       "      <td>YOUNG SINGLES/COUPLES</td>\n",
       "      <td>Mainstream</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1003</td>\n",
       "      <td>YOUNG FAMILIES</td>\n",
       "      <td>Budget</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1004</td>\n",
       "      <td>OLDER SINGLES/COUPLES</td>\n",
       "      <td>Mainstream</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1005</td>\n",
       "      <td>MIDAGE SINGLES/COUPLES</td>\n",
       "      <td>Mainstream</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   LYLTY_CARD_NBR               LIFESTAGE PREMIUM_CUSTOMER\n",
       "0            1000   YOUNG SINGLES/COUPLES          Premium\n",
       "1            1002   YOUNG SINGLES/COUPLES       Mainstream\n",
       "2            1003          YOUNG FAMILIES           Budget\n",
       "3            1004   OLDER SINGLES/COUPLES       Mainstream\n",
       "4            1005  MIDAGE SINGLES/COUPLES       Mainstream"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pb_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.022028,
     "end_time": "2020-08-19T16:13:54.031057",
     "exception": false,
     "start_time": "2020-08-19T16:13:54.009029",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Carrying out a **LEFT JOIN** between t_data and pb_data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:54.083614Z",
     "iopub.status.busy": "2020-08-19T16:13:54.082632Z",
     "iopub.status.idle": "2020-08-19T16:13:54.199526Z",
     "shell.execute_reply": "2020-08-19T16:13:54.198773Z"
    },
    "papermill": {
     "duration": 0.14732,
     "end_time": "2020-08-19T16:13:54.199735",
     "exception": false,
     "start_time": "2020-08-19T16:13:54.052415",
     "status": "completed"
    },
    "tags": []
   },
   "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>DATE</th>\n",
       "      <th>STORE_NBR</th>\n",
       "      <th>LYLTY_CARD_NBR</th>\n",
       "      <th>TXN_ID</th>\n",
       "      <th>PROD_NBR</th>\n",
       "      <th>PROD_NAME</th>\n",
       "      <th>PROD_QTY</th>\n",
       "      <th>TOT_SALES</th>\n",
       "      <th>DAY</th>\n",
       "      <th>PROD_WEIGHT</th>\n",
       "      <th>BRAND</th>\n",
       "      <th>LIFESTAGE</th>\n",
       "      <th>PREMIUM_CUSTOMER</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-10-17</td>\n",
       "      <td>1</td>\n",
       "      <td>1000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>Natural Chip        Compny SeaSalt</td>\n",
       "      <td>2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>175.0</td>\n",
       "      <td>Natural</td>\n",
       "      <td>YOUNG SINGLES/COUPLES</td>\n",
       "      <td>Premium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-05-20</td>\n",
       "      <td>1</td>\n",
       "      <td>1343</td>\n",
       "      <td>383</td>\n",
       "      <td>61</td>\n",
       "      <td>Smiths Crinkle Cut  Chips Chicken</td>\n",
       "      <td>2</td>\n",
       "      <td>2.9</td>\n",
       "      <td>Monday</td>\n",
       "      <td>170.0</td>\n",
       "      <td>Smiths</td>\n",
       "      <td>MIDAGE SINGLES/COUPLES</td>\n",
       "      <td>Budget</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-08-17</td>\n",
       "      <td>2</td>\n",
       "      <td>2373</td>\n",
       "      <td>974</td>\n",
       "      <td>69</td>\n",
       "      <td>Smiths Chip Thinly  S/Cream&amp;Onion</td>\n",
       "      <td>5</td>\n",
       "      <td>15.0</td>\n",
       "      <td>Friday</td>\n",
       "      <td>175.0</td>\n",
       "      <td>Smiths</td>\n",
       "      <td>MIDAGE SINGLES/COUPLES</td>\n",
       "      <td>Budget</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-05-16</td>\n",
       "      <td>4</td>\n",
       "      <td>4149</td>\n",
       "      <td>3333</td>\n",
       "      <td>16</td>\n",
       "      <td>Smiths Crinkle Chips Salt &amp; Vinegar</td>\n",
       "      <td>1</td>\n",
       "      <td>5.7</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>330.0</td>\n",
       "      <td>Smiths</td>\n",
       "      <td>MIDAGE SINGLES/COUPLES</td>\n",
       "      <td>Budget</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-08-20</td>\n",
       "      <td>5</td>\n",
       "      <td>5026</td>\n",
       "      <td>4525</td>\n",
       "      <td>42</td>\n",
       "      <td>Doritos Corn Chip Mexican Jalapeno</td>\n",
       "      <td>1</td>\n",
       "      <td>3.9</td>\n",
       "      <td>Monday</td>\n",
       "      <td>150.0</td>\n",
       "      <td>Doritos</td>\n",
       "      <td>MIDAGE SINGLES/COUPLES</td>\n",
       "      <td>Budget</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         DATE  STORE_NBR  LYLTY_CARD_NBR  TXN_ID  PROD_NBR  \\\n",
       "0  2018-10-17          1            1000       1         5   \n",
       "1  2019-05-20          1            1343     383        61   \n",
       "2  2018-08-17          2            2373     974        69   \n",
       "3  2019-05-16          4            4149    3333        16   \n",
       "4  2018-08-20          5            5026    4525        42   \n",
       "\n",
       "                              PROD_NAME  PROD_QTY  TOT_SALES        DAY  \\\n",
       "0    Natural Chip        Compny SeaSalt         2        6.0  Wednesday   \n",
       "1    Smiths Crinkle Cut  Chips Chicken          2        2.9     Monday   \n",
       "2    Smiths Chip Thinly  S/Cream&Onion          5       15.0     Friday   \n",
       "3  Smiths Crinkle Chips Salt & Vinegar          1        5.7   Thursday   \n",
       "4   Doritos Corn Chip Mexican Jalapeno          1        3.9     Monday   \n",
       "\n",
       "   PROD_WEIGHT    BRAND               LIFESTAGE PREMIUM_CUSTOMER  \n",
       "0        175.0  Natural   YOUNG SINGLES/COUPLES          Premium  \n",
       "1        170.0   Smiths  MIDAGE SINGLES/COUPLES           Budget  \n",
       "2        175.0   Smiths  MIDAGE SINGLES/COUPLES           Budget  \n",
       "3        330.0   Smiths  MIDAGE SINGLES/COUPLES           Budget  \n",
       "4        150.0  Doritos  MIDAGE SINGLES/COUPLES           Budget  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data= pd.merge(t_data,pb_data,on='LYLTY_CARD_NBR',how='left')\n",
    "combined_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.02186,
     "end_time": "2020-08-19T16:13:54.255914",
     "exception": false,
     "start_time": "2020-08-19T16:13:54.234054",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Checking if there are any nulls in the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:54.317225Z",
     "iopub.status.busy": "2020-08-19T16:13:54.315826Z",
     "iopub.status.idle": "2020-08-19T16:13:54.377282Z",
     "shell.execute_reply": "2020-08-19T16:13:54.376499Z"
    },
    "papermill": {
     "duration": 0.09958,
     "end_time": "2020-08-19T16:13:54.377444",
     "exception": false,
     "start_time": "2020-08-19T16:13:54.277864",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DATE                0\n",
       "STORE_NBR           0\n",
       "LYLTY_CARD_NBR      0\n",
       "TXN_ID              0\n",
       "PROD_NBR            0\n",
       "PROD_NAME           0\n",
       "PROD_QTY            0\n",
       "TOT_SALES           0\n",
       "DAY                 0\n",
       "PROD_WEIGHT         0\n",
       "BRAND               0\n",
       "LIFESTAGE           0\n",
       "PREMIUM_CUSTOMER    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.021624,
     "end_time": "2020-08-19T16:13:54.420799",
     "exception": false,
     "start_time": "2020-08-19T16:13:54.399175",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Saving the combined data as a csv file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:54.475230Z",
     "iopub.status.busy": "2020-08-19T16:13:54.473811Z",
     "iopub.status.idle": "2020-08-19T16:13:55.575092Z",
     "shell.execute_reply": "2020-08-19T16:13:55.574274Z"
    },
    "papermill": {
     "duration": 1.131594,
     "end_time": "2020-08-19T16:13:55.575257",
     "exception": false,
     "start_time": "2020-08-19T16:13:54.443663",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "combined_data.to_csv(r'C:\\Users\\user\\Desktop\\SNIGDHA\\C-data.csv',header=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.021761,
     "end_time": "2020-08-19T16:13:55.618974",
     "exception": false,
     "start_time": "2020-08-19T16:13:55.597213",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# EXPLORATORY DATA ANALYSIS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:55.751029Z",
     "iopub.status.busy": "2020-08-19T16:13:55.750109Z",
     "iopub.status.idle": "2020-08-19T16:13:55.755085Z",
     "shell.execute_reply": "2020-08-19T16:13:55.754417Z"
    },
    "papermill": {
     "duration": 0.114389,
     "end_time": "2020-08-19T16:13:55.755238",
     "exception": false,
     "start_time": "2020-08-19T16:13:55.640849",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(74570, 13)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:55.851932Z",
     "iopub.status.busy": "2020-08-19T16:13:55.851016Z",
     "iopub.status.idle": "2020-08-19T16:13:55.860836Z",
     "shell.execute_reply": "2020-08-19T16:13:55.859965Z"
    },
    "papermill": {
     "duration": 0.083999,
     "end_time": "2020-08-19T16:13:55.861010",
     "exception": false,
     "start_time": "2020-08-19T16:13:55.777011",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count                                    74570\n",
       "unique                                      33\n",
       "top       Cobs Popd Swt/Chlli &Sr/Cream Chips \n",
       "freq                                      3269\n",
       "Name: PROD_NAME, dtype: object"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.PROD_NAME.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:55.913849Z",
     "iopub.status.busy": "2020-08-19T16:13:55.912866Z",
     "iopub.status.idle": "2020-08-19T16:13:55.930629Z",
     "shell.execute_reply": "2020-08-19T16:13:55.929738Z"
    },
    "papermill": {
     "duration": 0.047349,
     "end_time": "2020-08-19T16:13:55.930806",
     "exception": false,
     "start_time": "2020-08-19T16:13:55.883457",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    74570.000000\n",
       "mean         1.904264\n",
       "std          0.343675\n",
       "min          1.000000\n",
       "25%          2.000000\n",
       "50%          2.000000\n",
       "75%          2.000000\n",
       "max          5.000000\n",
       "Name: PROD_QTY, dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.PROD_QTY.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:55.985624Z",
     "iopub.status.busy": "2020-08-19T16:13:55.984491Z",
     "iopub.status.idle": "2020-08-19T16:13:55.999524Z",
     "shell.execute_reply": "2020-08-19T16:13:55.998717Z"
    },
    "papermill": {
     "duration": 0.046365,
     "end_time": "2020-08-19T16:13:55.999713",
     "exception": false,
     "start_time": "2020-08-19T16:13:55.953348",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    74570.000000\n",
       "mean         6.860511\n",
       "std          2.256661\n",
       "min          1.900000\n",
       "25%          5.800000\n",
       "50%          6.600000\n",
       "75%          7.800000\n",
       "max         29.500000\n",
       "Name: TOT_SALES, dtype: float64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.TOT_SALES.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:56.055539Z",
     "iopub.status.busy": "2020-08-19T16:13:56.054474Z",
     "iopub.status.idle": "2020-08-19T16:13:56.070975Z",
     "shell.execute_reply": "2020-08-19T16:13:56.070146Z"
    },
    "papermill": {
     "duration": 0.047529,
     "end_time": "2020-08-19T16:13:56.071181",
     "exception": false,
     "start_time": "2020-08-19T16:13:56.023652",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    74570.000000\n",
       "mean       179.815140\n",
       "std         59.017981\n",
       "min        110.000000\n",
       "25%        160.000000\n",
       "50%        175.000000\n",
       "75%        175.000000\n",
       "max        380.000000\n",
       "Name: PROD_WEIGHT, dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.PROD_WEIGHT.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:56.159759Z",
     "iopub.status.busy": "2020-08-19T16:13:56.149128Z",
     "iopub.status.idle": "2020-08-19T16:13:56.170405Z",
     "shell.execute_reply": "2020-08-19T16:13:56.169446Z"
    },
    "papermill": {
     "duration": 0.0759,
     "end_time": "2020-08-19T16:13:56.170572",
     "exception": false,
     "start_time": "2020-08-19T16:13:56.094672",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count      74570\n",
       "unique         8\n",
       "top       Smiths\n",
       "freq       16872\n",
       "Name: BRAND, dtype: object"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.BRAND.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:56.254349Z",
     "iopub.status.busy": "2020-08-19T16:13:56.243631Z",
     "iopub.status.idle": "2020-08-19T16:13:56.264635Z",
     "shell.execute_reply": "2020-08-19T16:13:56.263724Z"
    },
    "papermill": {
     "duration": 0.071018,
     "end_time": "2020-08-19T16:13:56.264814",
     "exception": false,
     "start_time": "2020-08-19T16:13:56.193796",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count                     74570\n",
       "unique                        7\n",
       "top       OLDER SINGLES/COUPLES\n",
       "freq                      15304\n",
       "Name: LIFESTAGE, dtype: object"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.LIFESTAGE.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:56.338440Z",
     "iopub.status.busy": "2020-08-19T16:13:56.337514Z",
     "iopub.status.idle": "2020-08-19T16:13:56.357658Z",
     "shell.execute_reply": "2020-08-19T16:13:56.356820Z"
    },
    "papermill": {
     "duration": 0.069769,
     "end_time": "2020-08-19T16:13:56.357839",
     "exception": false,
     "start_time": "2020-08-19T16:13:56.288070",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count          74570\n",
       "unique             3\n",
       "top       Mainstream\n",
       "freq           28539\n",
       "Name: PREMIUM_CUSTOMER, dtype: object"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.PREMIUM_CUSTOMER.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:56.452714Z",
     "iopub.status.busy": "2020-08-19T16:13:56.440596Z",
     "iopub.status.idle": "2020-08-19T16:13:56.462379Z",
     "shell.execute_reply": "2020-08-19T16:13:56.461611Z"
    },
    "papermill": {
     "duration": 0.081265,
     "end_time": "2020-08-19T16:13:56.462541",
     "exception": false,
     "start_time": "2020-08-19T16:13:56.381276",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count          74570\n",
       "unique           364\n",
       "top       2018-12-24\n",
       "freq             285\n",
       "Name: DATE, dtype: object"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.DATE.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:56.527567Z",
     "iopub.status.busy": "2020-08-19T16:13:56.526131Z",
     "iopub.status.idle": "2020-08-19T16:13:56.540659Z",
     "shell.execute_reply": "2020-08-19T16:13:56.539781Z"
    },
    "papermill": {
     "duration": 0.0545,
     "end_time": "2020-08-19T16:13:56.540839",
     "exception": false,
     "start_time": "2020-08-19T16:13:56.486339",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.date(2019, 6, 30)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.DATE.max()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.023739,
     "end_time": "2020-08-19T16:13:56.588871",
     "exception": false,
     "start_time": "2020-08-19T16:13:56.565132",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Searching for the missing date:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:56.668439Z",
     "iopub.status.busy": "2020-08-19T16:13:56.667281Z",
     "iopub.status.idle": "2020-08-19T16:13:56.686003Z",
     "shell.execute_reply": "2020-08-19T16:13:56.685067Z"
    },
    "papermill": {
     "duration": 0.073313,
     "end_time": "2020-08-19T16:13:56.686183",
     "exception": false,
     "start_time": "2020-08-19T16:13:56.612870",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2018-12-25'], dtype='datetime64[ns]', freq=None)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.date_range(start = '2018-07-01', end = '2019-06-30' ).difference(combined_data.DATE)"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.024651,
     "end_time": "2020-08-19T16:13:56.735475",
     "exception": false,
     "start_time": "2020-08-19T16:13:56.710824",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**INSIGHTS:**\n",
    "1. There is no record for 2018-12-25 because it was christmas and the shop was closed so no transactions took place.\n",
    "2. 74570 out of 264836 transactions were made for chips products, which is almost 28% of total transactions.\n",
    "3. Cobs Popd Swt/Chlli &Sr/Cream Chips was the most famous chips during the specified period.\n",
    "4. Smiths was the most famous chips brand during the specified period.\n",
    "5. Most of the customers bought products of quantity 2.\n",
    "6. Most of the customers bought products that weighed 175g.\n",
    "7. Most of the customers were 'Older Singles/Couples'.\n",
    "8. Most of the customers purchased mainstream products."
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.023894,
     "end_time": "2020-08-19T16:13:56.784476",
     "exception": false,
     "start_time": "2020-08-19T16:13:56.760582",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# DATA VISUALIZATION"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:56.842205Z",
     "iopub.status.busy": "2020-08-19T16:13:56.841058Z",
     "iopub.status.idle": "2020-08-19T16:13:56.845216Z",
     "shell.execute_reply": "2020-08-19T16:13:56.844337Z"
    },
    "papermill": {
     "duration": 0.036377,
     "end_time": "2020-08-19T16:13:56.845378",
     "exception": false,
     "start_time": "2020-08-19T16:13:56.809001",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "style.use('seaborn-poster')\n",
    "sns.set_style('darkgrid')"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.024188,
     "end_time": "2020-08-19T16:13:56.894165",
     "exception": false,
     "start_time": "2020-08-19T16:13:56.869977",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**INSIGHTS:**\n",
    "1. There is a surge in total sales around october 2018 and june 2019\n",
    "2. These is a small gap in december 2019 which is accounted by the missing record on 2018-12-25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:56.953293Z",
     "iopub.status.busy": "2020-08-19T16:13:56.952318Z",
     "iopub.status.idle": "2020-08-19T16:13:57.448853Z",
     "shell.execute_reply": "2020-08-19T16:13:57.449510Z"
    },
    "papermill": {
     "duration": 0.530812,
     "end_time": "2020-08-19T16:13:57.449735",
     "exception": false,
     "start_time": "2020-08-19T16:13:56.918923",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1728x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(24,10))\n",
    "plt.plot(combined_data['DAY'], combined_data['TOT_SALES'], '.')\n",
    "plt.title('TOTAL SALES GROUPED BY WEEKDAYS',fontweight='bold')\n",
    "plt.ylabel('Total Sales')\n",
    "plt.xlabel('Day')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.024925,
     "end_time": "2020-08-19T16:13:57.500358",
     "exception": false,
     "start_time": "2020-08-19T16:13:57.475433",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**INSIGHTS:**\n",
    "1. Total sales are the lowest on thursdays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:57.583594Z",
     "iopub.status.busy": "2020-08-19T16:13:57.582177Z",
     "iopub.status.idle": "2020-08-19T16:13:57.989210Z",
     "shell.execute_reply": "2020-08-19T16:13:57.988206Z"
    },
    "papermill": {
     "duration": 0.463777,
     "end_time": "2020-08-19T16:13:57.989377",
     "exception": false,
     "start_time": "2020-08-19T16:13:57.525600",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1728x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(24,10))\n",
    "combined_data.BRAND.value_counts().plot(kind='bar',color='r',grid=True)\n",
    "plt.title('PREFFERED CHIPS BRAND',fontweight='bold')\n",
    "plt.xlabel('Brand Name')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.02736,
     "end_time": "2020-08-19T16:13:58.043979",
     "exception": false,
     "start_time": "2020-08-19T16:13:58.016619",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**INSIGHTS:**\n",
    "1. Smiths is the most preferred brand\n",
    "2. French is the least preferred brand"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:13:58.126372Z",
     "iopub.status.busy": "2020-08-19T16:13:58.124759Z",
     "iopub.status.idle": "2020-08-19T16:14:00.543709Z",
     "shell.execute_reply": "2020-08-19T16:14:00.544397Z"
    },
    "papermill": {
     "duration": 2.472014,
     "end_time": "2020-08-19T16:14:00.544606",
     "exception": false,
     "start_time": "2020-08-19T16:13:58.072592",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(24,10))\n",
    "sns.barplot(x=combined_data['PROD_WEIGHT'], y=combined_data['PROD_NAME'])\n",
    "plt.title('PRODUCT NAME VS PRODUCT WEIGHT',fontweight='bold')\n",
    "plt.ylabel('Product Name')\n",
    "plt.xlabel('Product Weight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.026854,
     "end_time": "2020-08-19T16:14:00.599138",
     "exception": false,
     "start_time": "2020-08-19T16:14:00.572284",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**INSIGHTS:**\n",
    "1. Most of the customers preferred Smiths Crinkle Chip Orgnl Big Bag & Smiths Crinkle Chip Salt & Vinegar when buying heavy weighted chips product.\n",
    "2. Cobs Popd Swt/Chlli &Sr/Cream Chips is the most preferred chips but is the least weighted product."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:14:00.672662Z",
     "iopub.status.busy": "2020-08-19T16:14:00.671286Z",
     "iopub.status.idle": "2020-08-19T16:14:01.196265Z",
     "shell.execute_reply": "2020-08-19T16:14:01.195402Z"
    },
    "papermill": {
     "duration": 0.569684,
     "end_time": "2020-08-19T16:14:01.196423",
     "exception": false,
     "start_time": "2020-08-19T16:14:00.626739",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,6))\n",
    "sns.distplot(a=combined_data['PROD_WEIGHT'], kde=False)\n",
    "plt.title('PREFERRED PRODUCT WEIGHT',fontweight='bold')\n",
    "plt.xlabel('Product Weight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.02762,
     "end_time": "2020-08-19T16:14:01.252320",
     "exception": false,
     "start_time": "2020-08-19T16:14:01.224700",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**INSIGHTS:**\n",
    "1. Most of the customers prefer to buy products that weigh between 150-200g\n",
    "2. Very few customers prefer products that weigh more than 350g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:14:01.318251Z",
     "iopub.status.busy": "2020-08-19T16:14:01.317224Z",
     "iopub.status.idle": "2020-08-19T16:14:06.019110Z",
     "shell.execute_reply": "2020-08-19T16:14:06.019938Z"
    },
    "papermill": {
     "duration": 4.739812,
     "end_time": "2020-08-19T16:14:06.020187",
     "exception": false,
     "start_time": "2020-08-19T16:14:01.280375",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1728x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(24,10))\n",
    "sns.regplot(x=combined_data['TOT_SALES'], y=combined_data['PROD_WEIGHT'])\n",
    "plt.title('TOTAL SALES VS PRODUCT WEIGHT',fontweight='bold')\n",
    "plt.ylabel('Product Weight')\n",
    "plt.xlabel('Total Sales')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.030067,
     "end_time": "2020-08-19T16:14:06.081652",
     "exception": false,
     "start_time": "2020-08-19T16:14:06.051585",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**INSIGHTS:**\n",
    "1. There is almost a linear relationship between total sales and product weight, meaning the total sales increase as product weight increases ( quite obvious )\n",
    "2. Low weighted products contribute to total sales the most"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:14:06.171303Z",
     "iopub.status.busy": "2020-08-19T16:14:06.168899Z",
     "iopub.status.idle": "2020-08-19T16:14:06.430506Z",
     "shell.execute_reply": "2020-08-19T16:14:06.429765Z"
    },
    "papermill": {
     "duration": 0.319982,
     "end_time": "2020-08-19T16:14:06.430779",
     "exception": false,
     "start_time": "2020-08-19T16:14:06.110797",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(24,10))\n",
    "combined_data.PREMIUM_CUSTOMER.value_counts().plot(kind='bar',color='g',grid=True)\n",
    "plt.title('CUSTOMER SEGMENTATION',fontweight='bold')\n",
    "plt.ylabel('Customer Segment')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.029269,
     "end_time": "2020-08-19T16:14:06.491873",
     "exception": false,
     "start_time": "2020-08-19T16:14:06.462604",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**INSIGHTS:**\n",
    "1. Most of the customers buy mainstream products\n",
    "2. Less amount of customers buy premium products"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:14:06.568742Z",
     "iopub.status.busy": "2020-08-19T16:14:06.567273Z",
     "iopub.status.idle": "2020-08-19T16:14:07.631384Z",
     "shell.execute_reply": "2020-08-19T16:14:07.631974Z"
    },
    "papermill": {
     "duration": 1.110554,
     "end_time": "2020-08-19T16:14:07.632185",
     "exception": false,
     "start_time": "2020-08-19T16:14:06.521631",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(24,10))\n",
    "sns.barplot(x=combined_data['TOT_SALES'], y=combined_data['PREMIUM_CUSTOMER'])\n",
    "plt.title('TOTAL SALES BY CUSTOMER SEGMENTS',fontweight='bold')\n",
    "plt.ylabel('Customer Segment')\n",
    "plt.xlabel('Total Sales')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.03017,
     "end_time": "2020-08-19T16:14:07.693881",
     "exception": false,
     "start_time": "2020-08-19T16:14:07.663711",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**INSIGHTS:**\n",
    "1. Mainstream products generate maximum amount of sales\n",
    "2. Budget products generate least amount of sales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:14:07.764895Z",
     "iopub.status.busy": "2020-08-19T16:14:07.763719Z",
     "iopub.status.idle": "2020-08-19T16:14:08.200857Z",
     "shell.execute_reply": "2020-08-19T16:14:08.199846Z"
    },
    "papermill": {
     "duration": 0.477774,
     "end_time": "2020-08-19T16:14:08.201067",
     "exception": false,
     "start_time": "2020-08-19T16:14:07.723293",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.figsize'] = (24, 10)\n",
    "combined_data.groupby(['PREMIUM_CUSTOMER','BRAND']).size().unstack().plot(kind='bar',stacked=True)\n",
    "plt.title('BRAND PREFFERED BY A CUSTOMER SEGMENT',fontweight='bold')\n",
    "plt.ylabel('Total Sales')\n",
    "plt.xlabel('Customer Segment')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.031609,
     "end_time": "2020-08-19T16:14:08.263994",
     "exception": false,
     "start_time": "2020-08-19T16:14:08.232385",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**INSIGHTS:**\n",
    "1. Smiths is the preferred brand by all types of customers.\n",
    "2. Doritos is also a more preferred brand by the mainstream customers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:14:08.357601Z",
     "iopub.status.busy": "2020-08-19T16:14:08.354875Z",
     "iopub.status.idle": "2020-08-19T16:14:08.700031Z",
     "shell.execute_reply": "2020-08-19T16:14:08.699253Z"
    },
    "papermill": {
     "duration": 0.405014,
     "end_time": "2020-08-19T16:14:08.700209",
     "exception": false,
     "start_time": "2020-08-19T16:14:08.295195",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1728x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(24,10))\n",
    "combined_data.LIFESTAGE.value_counts().plot(kind='bar',color='y',grid=True)\n",
    "plt.title('LIFESTAGE OF CUSTOMER',fontweight='bold')\n",
    "plt.xlabel('Lifestage')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.035006,
     "end_time": "2020-08-19T16:14:08.766905",
     "exception": false,
     "start_time": "2020-08-19T16:14:08.731899",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**INSIGHTS:**\n",
    "1. Most of the customers are older singles/couples\n",
    "2. Least amount of customers belong to new families"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:14:08.848555Z",
     "iopub.status.busy": "2020-08-19T16:14:08.844237Z",
     "iopub.status.idle": "2020-08-19T16:14:09.262999Z",
     "shell.execute_reply": "2020-08-19T16:14:09.261942Z"
    },
    "papermill": {
     "duration": 0.463318,
     "end_time": "2020-08-19T16:14:09.263199",
     "exception": false,
     "start_time": "2020-08-19T16:14:08.799881",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1728x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.figsize'] = (24, 10)\n",
    "combined_data.groupby(['PREMIUM_CUSTOMER','LIFESTAGE']).size().unstack().plot(kind='bar',stacked=True)\n",
    "plt.title('CUSTOMER SEGMENT AND LIFESTAGE',fontweight='bold')\n",
    "plt.xlabel('Customer Segment')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.034048,
     "end_time": "2020-08-19T16:14:09.329877",
     "exception": false,
     "start_time": "2020-08-19T16:14:09.295829",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**INSIGHTS:**\n",
    "1. Older families usually buy budget-rated products however this could be because of the large amount of older families' customers.\n",
    "2. New and Young families prefer budget-rated products.\n",
    "3. Midage singles/couples, Young singles/couples and retirees prefer mainstream-rated products."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:14:09.409460Z",
     "iopub.status.busy": "2020-08-19T16:14:09.402571Z",
     "iopub.status.idle": "2020-08-19T16:14:10.602455Z",
     "shell.execute_reply": "2020-08-19T16:14:10.601532Z"
    },
    "papermill": {
     "duration": 1.240651,
     "end_time": "2020-08-19T16:14:10.602623",
     "exception": false,
     "start_time": "2020-08-19T16:14:09.361972",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(24,10))\n",
    "sns.barplot(x=combined_data['TOT_SALES'], y=combined_data['LIFESTAGE'])\n",
    "plt.title('TOTAL SALES BY LIFESTAGE A CUSTOMER',fontweight='bold')\n",
    "plt.ylabel('Lifestage Of Customer')\n",
    "plt.xlabel('Total Sales')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.032648,
     "end_time": "2020-08-19T16:14:10.668135",
     "exception": false,
     "start_time": "2020-08-19T16:14:10.635487",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**INSIGHTS:**\n",
    "1. Older and midage singles/couples generate maximum sales\n",
    "2. Young singles/couples generate minimum sales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:14:10.748084Z",
     "iopub.status.busy": "2020-08-19T16:14:10.747122Z",
     "iopub.status.idle": "2020-08-19T16:14:12.088014Z",
     "shell.execute_reply": "2020-08-19T16:14:12.087130Z"
    },
    "papermill": {
     "duration": 1.386651,
     "end_time": "2020-08-19T16:14:12.088178",
     "exception": false,
     "start_time": "2020-08-19T16:14:10.701527",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1728x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(24,10))\n",
    "sns.barplot(x=combined_data['PROD_QTY'], y=combined_data['LIFESTAGE'])\n",
    "plt.title('PRODUCT QUANTITY PREFERRED BY A CUSTOMER',fontweight='bold')\n",
    "plt.ylabel('Lifestage Of Customer')\n",
    "plt.xlabel('Product Quantity')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.033088,
     "end_time": "2020-08-19T16:14:12.155831",
     "exception": false,
     "start_time": "2020-08-19T16:14:12.122743",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**INSIGHTS:**\n",
    "1. Older families buy products in maximum quantity\n",
    "2. Young singles/couples buy products in least quantity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-08-19T16:14:12.238203Z",
     "iopub.status.busy": "2020-08-19T16:14:12.236792Z",
     "iopub.status.idle": "2020-08-19T16:14:12.807322Z",
     "shell.execute_reply": "2020-08-19T16:14:12.808065Z"
    },
    "papermill": {
     "duration": 0.617737,
     "end_time": "2020-08-19T16:14:12.808305",
     "exception": false,
     "start_time": "2020-08-19T16:14:12.190568",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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JRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1728x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.figsize'] = (24, 10)\n",
    "combined_data.groupby(['LIFESTAGE','BRAND']).size().unstack().plot(kind='bar',stacked=True)\n",
    "plt.title('BRAND PREFFERED BY A CUSTOMER',fontweight='bold')\n",
    "plt.ylabel('Total Sales')\n",
    "plt.xlabel('Lifestage Of Customer')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": 0.036422,
     "end_time": "2020-08-19T16:14:12.880204",
     "exception": false,
     "start_time": "2020-08-19T16:14:12.843782",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**INSIGHTS:**\n",
    "1. Smiths and Doritos are most preferred by customers of all life stages\n",
    "2. French and Tositos is the least preferred by customers of all life stages"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  },
  "papermill": {
   "duration": 42.34855,
   "end_time": "2020-08-19T16:14:13.028642",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
   "output_path": "__notebook__.ipynb",
   "parameters": {},
   "start_time": "2020-08-19T16:13:30.680092",
   "version": "2.1.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}