sales-analysis.ipynb

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      "source": [
        "# Import Librabries\n",
        "from pymongo import MongoClient\n",
        "import pprint\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from pandas import DataFrame"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "hVmR15z0GLpj"
      },
      "outputs": [],
      "source": [
        "# Create connection string\n",
        "CONNECTION_STRING = \"mongodb+srv://aali:foYGINYscfu474A9@cluster0.ykrvjpk.mongodb.net/test\"\n",
        "# Create a connection using MongoClient. You can import MongoClient or use pymongo.MongoClient\n",
        "myClient= MongoClient(CONNECTION_STRING)\n",
        "# Getting the database\n",
        "myDB= myClient[\"Amazone\"]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "GGEFO_MDGPP-"
      },
      "outputs": [],
      "source": [
        "# Create dataframe for pastOrders using aggregation pipeline\n",
        "df_pastOrders = pd.DataFrame(myDB.pastOrders.aggregate([{\n",
        "    '$project': {\n",
        "        '_id': 1,\n",
        "        'order_date': '$order_date',\n",
        "        'customer_id': '$customer_id',\n",
        "        # Raise Sub-documents to top-level under new name\n",
        "        'product_id': '$order_details.product_id',\n",
        "        'quantity': '$order_details.quantity',\n",
        "        'cost': '$order_details.cost',\n",
        "        'total_cost': '$total_cost',\n",
        "        'partner_id': '$partner_id',\n",
        "        'supplier_id': '$supplier_id',\n",
        "        'order_status': '$order_status'\n",
        "    }\n",
        "}]))\n",
        "\n",
        "# Cleaning embedded values\n",
        "lis = ['product_id','quantity','cost']\n",
        "for i in lis:\n",
        "    df_pastOrders[i] = df_pastOrders[i].apply(lambda x: x[0])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "4pxwkQbeZviy"
      },
      "outputs": [],
      "source": [
        "# Create dataframe for inventoryRecord\n",
        "df_inventoryRecord = pd.DataFrame(myDB.dailyInventoryRecord.aggregate([{\n",
        "    '$project': {\n",
        "        '_id': 0,\n",
        "        'supplier_id': '$_id.supplier_id',\n",
        "        'product_id': '$_id.product_id',\n",
        "        'date': '$inventory_data.datetime',\n",
        "        'quantity':'$inventory_data.inventory_quantity'\n",
        "      \n",
        "    }\n",
        "}]))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "pavp7gvBgaFo"
      },
      "outputs": [],
      "source": [
        "df_inventoryRecord['date'] = df_inventoryRecord['date'].apply(lambda x: x[0])\n",
        "df_inventoryRecord['quantity'] = df_inventoryRecord['quantity'].apply(lambda x: x[0])\n",
        "df_inventoryRecord['quantity'] = df_inventoryRecord['quantity'].astype(int)"
      ]
    },
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              "      <th></th>\n",
              "      <th>supplier_id</th>\n",
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              "      <th>quantity</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>W2</td>\n",
              "      <td>HA2</td>\n",
              "      <td>2023-02-01 17:14:00</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ST4</td>\n",
              "      <td>FP11</td>\n",
              "      <td>2023-03-01 08:11:00</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ST2</td>\n",
              "      <td>FP10</td>\n",
              "      <td>2023-03-01 10:44:00</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>W2</td>\n",
              "      <td>HA5</td>\n",
              "      <td>2023-03-01 14:23:00</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ST5</td>\n",
              "      <td>FP9</td>\n",
              "      <td>2023-02-01 02:10:00</td>\n",
              "      <td>5</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>255</th>\n",
              "      <td>W2</td>\n",
              "      <td>CD3</td>\n",
              "      <td>2023-02-01 06:07:00</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>256</th>\n",
              "      <td>ST2</td>\n",
              "      <td>FP12</td>\n",
              "      <td>2023-02-01 17:53:00</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>257</th>\n",
              "      <td>ST3</td>\n",
              "      <td>FP6</td>\n",
              "      <td>2023-02-01 19:00:00</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>258</th>\n",
              "      <td>W1</td>\n",
              "      <td>PH10</td>\n",
              "      <td>2023-03-01 19:19:00</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>259</th>\n",
              "      <td>W1</td>\n",
              "      <td>B9</td>\n",
              "      <td>2023-02-01 10:19:00</td>\n",
              "      <td>6</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "<p>260 rows × 4 columns</p>\n",
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            ],
            "text/plain": [
              "    supplier_id product_id                date  quantity\n",
              "0            W2        HA2 2023-02-01 17:14:00         8\n",
              "1           ST4       FP11 2023-03-01 08:11:00        10\n",
              "2           ST2       FP10 2023-03-01 10:44:00         4\n",
              "3            W2        HA5 2023-03-01 14:23:00         8\n",
              "4           ST5        FP9 2023-02-01 02:10:00         5\n",
              "..          ...        ...                 ...       ...\n",
              "255          W2        CD3 2023-02-01 06:07:00         9\n",
              "256         ST2       FP12 2023-02-01 17:53:00         8\n",
              "257         ST3        FP6 2023-02-01 19:00:00         9\n",
              "258          W1       PH10 2023-03-01 19:19:00         4\n",
              "259          W1         B9 2023-02-01 10:19:00         6\n",
              "\n",
              "[260 rows x 4 columns]"
            ]
          },
          "execution_count": 89,
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      ],
      "source": [
        "df_inventoryRecord"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "nDQeZz40WbG_"
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      "outputs": [],
      "source": [
        "df_October = df_pastOrders.loc[(df_pastOrders['order_date'] > '2022-10-01') & (df_pastOrders['order_date'] <= '2022-10-31')]\n",
        "df_November = df_pastOrders.loc[(df_pastOrders['order_date'] > '2022-11-01') & (df_pastOrders['order_date'] <= '2022-11-30')]"
      ]
    },
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              "      <th>135</th>\n",
              "      <td>20221101162014C14</td>\n",
              "      <td>2022-11-01 16:20:00</td>\n",
              "      <td>C14</td>\n",
              "      <td>PH9</td>\n",
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              "      <td>849</td>\n",
              "      <td>849.00</td>\n",
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              "      <td>2022-11-01 18:00:00</td>\n",
              "      <td>C18</td>\n",
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              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>4.00</td>\n",
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              "      <td>C18</td>\n",
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              "      <td>2022-11-01 23:04:00</td>\n",
              "      <td>C20</td>\n",
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              "      <td>2.8</td>\n",
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              "      <td>2022-11-02 03:26:00</td>\n",
              "      <td>C5</td>\n",
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              "      <th>264</th>\n",
              "      <td>20221129063833C8</td>\n",
              "      <td>2022-11-29 06:38:00</td>\n",
              "      <td>C8</td>\n",
              "      <td>FP4</td>\n",
              "      <td>5</td>\n",
              "      <td>6.8</td>\n",
              "      <td>34.00</td>\n",
              "      <td>PA2</td>\n",
              "      <td>ST5</td>\n",
              "      <td>5</td>\n",
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              "    <tr>\n",
              "      <th>265</th>\n",
              "      <td>20221129073144C10</td>\n",
              "      <td>2022-11-29 07:31:00</td>\n",
              "      <td>C10</td>\n",
              "      <td>CD2</td>\n",
              "      <td>3</td>\n",
              "      <td>11.48</td>\n",
              "      <td>34.44</td>\n",
              "      <td>PA4</td>\n",
              "      <td>W3</td>\n",
              "      <td>5</td>\n",
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              "    <tr>\n",
              "      <th>266</th>\n",
              "      <td>20221129165530C20</td>\n",
              "      <td>2022-11-29 16:55:00</td>\n",
              "      <td>C20</td>\n",
              "      <td>PH8</td>\n",
              "      <td>4</td>\n",
              "      <td>500</td>\n",
              "      <td>2000.00</td>\n",
              "      <td>PA1</td>\n",
              "      <td>W2</td>\n",
              "      <td>5</td>\n",
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              "    <tr>\n",
              "      <th>267</th>\n",
              "      <td>20221129203826C11</td>\n",
              "      <td>2022-11-29 20:38:00</td>\n",
              "      <td>C11</td>\n",
              "      <td>FP8</td>\n",
              "      <td>2</td>\n",
              "      <td>10</td>\n",
              "      <td>20.00</td>\n",
              "      <td>PA5</td>\n",
              "      <td>ST5</td>\n",
              "      <td>5</td>\n",
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              "    <tr>\n",
              "      <th>268</th>\n",
              "      <td>20221129225553C10</td>\n",
              "      <td>2022-11-29 22:55:00</td>\n",
              "      <td>C10</td>\n",
              "      <td>CD10</td>\n",
              "      <td>5</td>\n",
              "      <td>8.28</td>\n",
              "      <td>41.40</td>\n",
              "      <td>PA4</td>\n",
              "      <td>W1</td>\n",
              "      <td>5</td>\n",
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              "  "
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            "text/plain": [
              "                   _id          order_date customer_id product_id quantity  \\\n",
              "135  20221101162014C14 2022-11-01 16:20:00         C14        PH9        1   \n",
              "136  20221101180049C18 2022-11-01 18:00:00         C18        FP3        2   \n",
              "137  20221101212059C18 2022-11-01 21:20:00         C18        FP7        1   \n",
              "138  20221101230434C20 2022-11-01 23:04:00         C20       FP15        3   \n",
              "139   20221102032613C5 2022-11-02 03:26:00          C5        PH4        1   \n",
              "..                 ...                 ...         ...        ...      ...   \n",
              "264   20221129063833C8 2022-11-29 06:38:00          C8        FP4        5   \n",
              "265  20221129073144C10 2022-11-29 07:31:00         C10        CD2        3   \n",
              "266  20221129165530C20 2022-11-29 16:55:00         C20        PH8        4   \n",
              "267  20221129203826C11 2022-11-29 20:38:00         C11        FP8        2   \n",
              "268  20221129225553C10 2022-11-29 22:55:00         C10       CD10        5   \n",
              "\n",
              "      cost  total_cost partner_id supplier_id  order_status  \n",
              "135    849      849.00        PA4          W1             5  \n",
              "136      2        4.00        PA3         ST3             5  \n",
              "137      2        2.00        PA3         ST5             5  \n",
              "138    2.8        8.40        PA4         ST4             5  \n",
              "139    100      100.00        PA3          W3             5  \n",
              "..     ...         ...        ...         ...           ...  \n",
              "264    6.8       34.00        PA2         ST5             5  \n",
              "265  11.48       34.44        PA4          W3             5  \n",
              "266    500     2000.00        PA1          W2             5  \n",
              "267     10       20.00        PA5         ST5             5  \n",
              "268   8.28       41.40        PA4          W1             5  \n",
              "\n",
              "[134 rows x 10 columns]"
            ]
          },
          "execution_count": 8,
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        "df_November"
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        {
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              "  product_id             name category\n",
              "0        CD2  Led Zepellin IV       CD\n",
              "1        CD3               21       CD\n",
              "2        CD4         The Wall       CD\n",
              "3        CD5    Back in Black       CD\n",
              "4        CD6       Abbey Road       CD"
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        "df_products = pd.DataFrame(myDB.products.aggregate([{\n",
        "    '$project': {\n",
        "        '_id': 1,\n",
        "        'name': '$name',\n",
        "        'category': '$category'\n",
        "    }\n",
        "}]))\n",
        "df_products = df_products.rename(columns={\"_id\": \"product_id\"})\n",
        "df_products.head()"
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            "text/plain": [
              "           order_date product_id  quantity   cost  total_cost  \\\n",
              "0 2022-10-01 05:09:00         B3         2   3.20        6.40   \n",
              "1 2022-10-04 10:04:00         B3         3  13.50       40.50   \n",
              "2 2022-10-25 13:15:00         B3         2   8.00       16.00   \n",
              "3 2022-10-01 10:27:00        CD2         3  16.99       50.97   \n",
              "4 2022-10-16 04:17:00        CD2         3  61.75      185.25   \n",
              "\n",
              "                name category  \n",
              "0  Dangerous Elysium        B  \n",
              "1  Dangerous Elysium        B  \n",
              "2  Dangerous Elysium        B  \n",
              "3    Led Zepellin IV       CD  \n",
              "4    Led Zepellin IV       CD  "
            ]
          },
          "execution_count": 14,
          "metadata": {},
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      "source": [
        "df_salesAnalysis_October = pd.merge(df_October,df_products,on='product_id')\n",
        "df_salesAnalysis_October = df_salesAnalysis_October.drop(['_id', 'customer_id', 'partner_id','supplier_id','order_status'], axis=1)\n",
        "df_salesAnalysis_October['quantity'] = df_salesAnalysis_October['quantity'].astype(str).astype(int)\n",
        "df_salesAnalysis_October['cost'] = df_salesAnalysis_October['cost'].astype(str).astype(float)\n",
        "df_salesAnalysis_October.head()"
      ]
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            "text/plain": [
              "           order_date product_id  quantity   cost  total_cost       name  \\\n",
              "0 2022-11-01 16:20:00        PH9         1  849.0       849.0  iPhone 14   \n",
              "1 2022-11-07 00:23:00        PH9         5  849.0      4245.0  iPhone 14   \n",
              "2 2022-11-24 02:41:00        PH9         5  849.0      4245.0  iPhone 14   \n",
              "3 2022-11-01 18:00:00        FP3         2    2.0         4.0        Pie   \n",
              "4 2022-11-23 12:47:00        FP3         5    2.0        10.0        Pie   \n",
              "\n",
              "  category  \n",
              "0       PH  \n",
              "1       PH  \n",
              "2       PH  \n",
              "3    fresh  \n",
              "4    fresh  "
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          },
          "execution_count": 15,
          "metadata": {},
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      ],
      "source": [
        "df_salesAnalysis_November = pd.merge(df_November,df_products,on='product_id')\n",
        "df_salesAnalysis_November = df_salesAnalysis_November.drop(['_id', 'customer_id', 'partner_id','supplier_id','order_status'], axis=1)\n",
        "df_salesAnalysis_November['quantity'] = df_salesAnalysis_November['quantity'].astype(str).astype(int)\n",
        "df_salesAnalysis_November['cost'] = df_salesAnalysis_November['cost'].astype(str).astype(float)\n",
        "df_salesAnalysis_November.head()"
      ]
    },
    {
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      "execution_count": null,
      "metadata": {
        "id": "0nm45fZSUq8D"
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      "source": [
        "df_quantity_October = df_salesAnalysis_October.groupby('name')['quantity'].sum()\n",
        "df_quantity_October = df_quantity_October.reset_index()\n",
        "df_Cost_October = df_salesAnalysis_October.groupby('name')['cost'].mean()\n",
        "df_Cost_October = df_Cost_October.reset_index()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "_w5eJcnkPe_V"
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      "source": [
        "df_quantity_November = df_salesAnalysis_November.groupby('name')['quantity'].sum()\n",
        "df_quantity_November = df_quantity_November.reset_index()\n",
        "df_Cost_November = df_salesAnalysis_November.groupby('name')['cost'].mean()\n",
        "df_Cost_November = df_Cost_November.reset_index()"
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              "                                      name   cost\n",
              "0                                       21   9.12\n",
              "1                                    Apple   4.00\n",
              "2                            Back in Black   7.46\n",
              "3                                     Beer  10.00\n",
              "4  Bosch Smart Home Radiator Thermostat II  61.75"
            ]
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",
            "text/plain": [
              "<Figure size 1440x504 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "fig, ax1 = plt.subplots(figsize=(20,7))\n",
        "ax2 = ax1.twinx()\n",
        "ax1.bar(df_quantity_October['name'],df_quantity_October['quantity'], color = 'g')\n",
        "ax2.plot(df_Cost_October['name'],df_Cost_October['cost'],'b-')\n",
        "ax1.set_xlabel('Product Name')\n",
        "ax1.set_ylabel('Quantity Ordered',color = 'g')\n",
        "ax2.set_ylabel('Price',color = 'b')\n",
        "ax1.set_xticklabels(df_quantity_October['name'],rotation = 90,size = 8)\n",
        "plt.title('October Sales')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 707
        },
        "id": "zxZy95uOP9As",
        "outputId": "9bd49db6-5221-482d-da9a-400fcc936a21"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1440x504 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "fig, ax1 = plt.subplots(figsize=(20,7))\n",
        "ax2 = ax1.twinx()\n",
        "ax1.bar(df_quantity_November['name'],df_quantity_November['quantity'], color = 'g')\n",
        "ax2.plot(df_Cost_November['name'],df_Cost_November['cost'],'b-')\n",
        "ax1.set_xlabel('Product Name')\n",
        "ax1.set_ylabel('Quantity Ordered',color = 'g')\n",
        "ax2.set_ylabel('Price',color = 'b')\n",
        "ax1.set_xticklabels(df_quantity_November['name'],rotation = 90,size = 8)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "NLU7QbLiQdIg"
      },
      "outputs": [],
      "source": [
        "df_salesAnalysis_November['order_day'] = df_salesAnalysis_November.order_date.dt.day"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "7anKIKkWSzsq"
      },
      "outputs": [],
      "source": [
        "sales_byDay_Nov = df_salesAnalysis_November.groupby('order_day')['total_cost'].sum()\n",
        "sales_byDay_Nov = sales_byDay_Nov.reset_index()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        },
        "id": "afvz7Wt2T5r5",
        "outputId": "b8d400db-b87c-4c45-df0f-a8a2d821640e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Sales per day for November')"
            ]
          },
          "execution_count": 39,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1440x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize = (20,7))\n",
        "sns.barplot(x=\"order_day\",\n",
        "           y=\"total_cost\",\n",
        "           data=sales_byDay_Nov)\n",
        "plt.title('Sales per day for November')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "krsJtBmpuWvI"
      },
      "outputs": [],
      "source": [
        "df_inventoryRecord.sort_values('product_id',inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "0O-LJL3rujXr",
        "outputId": "c113880f-77a4-4b11-cb98-d8a4ba7b0681"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-e955dfbf-a568-47e3-b24f-a2cf41e021e3\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>supplier_id</th>\n",
              "      <th>product_id</th>\n",
              "      <th>date</th>\n",
              "      <th>quantity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>188</th>\n",
              "      <td>W2</td>\n",
              "      <td>B1</td>\n",
              "      <td>2023-03-01 13:12:00</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>253</th>\n",
              "      <td>W2</td>\n",
              "      <td>B1</td>\n",
              "      <td>2023-02-01 16:02:00</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>105</th>\n",
              "      <td>W2</td>\n",
              "      <td>B10</td>\n",
              "      <td>2023-02-01 09:37:00</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>W2</td>\n",
              "      <td>B10</td>\n",
              "      <td>2023-03-01 06:21:00</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>205</th>\n",
              "      <td>W3</td>\n",
              "      <td>B2</td>\n",
              "      <td>2023-02-01 02:31:00</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>W1</td>\n",
              "      <td>PH7</td>\n",
              "      <td>2023-03-01 17:41:00</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>W2</td>\n",
              "      <td>PH8</td>\n",
              "      <td>2023-02-01 08:36:00</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>233</th>\n",
              "      <td>W2</td>\n",
              "      <td>PH8</td>\n",
              "      <td>2023-03-01 00:47:00</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>163</th>\n",
              "      <td>W3</td>\n",
              "      <td>PH9</td>\n",
              "      <td>2023-02-01 01:30:00</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>106</th>\n",
              "      <td>W3</td>\n",
              "      <td>PH9</td>\n",
              "      <td>2023-03-01 18:44:00</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>260 rows × 4 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e955dfbf-a568-47e3-b24f-a2cf41e021e3')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "      display:flex;\n",
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              "      gap: 12px;\n",
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              "    .colab-df-convert {\n",
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              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "    supplier_id product_id                date  quantity\n",
              "188          W2         B1 2023-03-01 13:12:00         8\n",
              "253          W2         B1 2023-02-01 16:02:00         5\n",
              "105          W2        B10 2023-02-01 09:37:00         1\n",
              "44           W2        B10 2023-03-01 06:21:00         5\n",
              "205          W3         B2 2023-02-01 02:31:00         2\n",
              "..          ...        ...                 ...       ...\n",
              "76           W1        PH7 2023-03-01 17:41:00         4\n",
              "99           W2        PH8 2023-02-01 08:36:00         6\n",
              "233          W2        PH8 2023-03-01 00:47:00         3\n",
              "163          W3        PH9 2023-02-01 01:30:00        10\n",
              "106          W3        PH9 2023-03-01 18:44:00         7\n",
              "\n",
              "[260 rows x 4 columns]"
            ]
          },
          "execution_count": 92,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_inventoryRecord order_date.dt.day"
      ]
    }
  ],
  "metadata": {
    "colab": {
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    "kernelspec": {
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