Customer_Segmentation (1).ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")\n",
        "from sklearn.cluster import KMeans\n",
        "from sklearn.metrics import silhouette_score\n",
        "pd.set_option(\"display.max_columns\",200)\n",
        "pd.set_option(\"display.max_rows\",200) "
      ],
      "metadata": {
        "id": "gU-h7UaodpSj"
      },
      "execution_count": 139,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "*EDA*"
      ],
      "metadata": {
        "id": "cR6WAegaKnd4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df=pd.read_csv('PBL5recommendationdata.csv', encoding ='latin-1')"
      ],
      "metadata": {
        "id": "snSZ_nn9dpQl"
      },
      "execution_count": 140,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 895
        },
        "id": "FSyMmTuFdpOT",
        "outputId": "7923b5c9-f7e7-4f21-9c98-d9582f78a65e"
      },
      "execution_count": 141,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Customers.id Customers.fname Customers.lname Customers.company  \\\n",
              "0           797         Christy            Dill          Company0   \n",
              "1             3            John           Smith          Company1   \n",
              "2             3            John           Smith          Company1   \n",
              "3             4           James        Anderson               NaN   \n",
              "4             5         Abraham          Pollak          Company3   \n",
              "5             5         Abraham          Pollak          Company3   \n",
              "6             5         Abraham          Pollak          Company3   \n",
              "7             7          peggy         thompson               NaN   \n",
              "8             8           Randy           Pruss               NaN   \n",
              "9            10          Tommy            Smith               NaN   \n",
              "\n",
              "   Customers.create_date  Customers.status  Customers.mailing  \\\n",
              "0             1426018724               NaN                NaN   \n",
              "1             1386089139               NaN                NaN   \n",
              "2             1386089139               NaN                NaN   \n",
              "3             1386780263               NaN                NaN   \n",
              "4             1386861599               0.0                0.0   \n",
              "5             1386861599               0.0                0.0   \n",
              "6             1386861599               0.0                0.0   \n",
              "7             1388155947               NaN                NaN   \n",
              "8             1389303216               NaN                NaN   \n",
              "9             1390509516               NaN                NaN   \n",
              "\n",
              "   Customers.reminders  Customers.tax_exempt  Customers.account_id  \\\n",
              "0                  NaN                   NaN                   NaN   \n",
              "1                  NaN                   NaN                   NaN   \n",
              "2                  NaN                   NaN                   NaN   \n",
              "3                  NaN                   NaN                   NaN   \n",
              "4                  NaN                   NaN                   NaN   \n",
              "5                  NaN                   NaN                   NaN   \n",
              "6                  NaN                   NaN                   NaN   \n",
              "7                  NaN                   NaN                   NaN   \n",
              "8                  NaN                   NaN                   NaN   \n",
              "9                  NaN                   NaN                   NaN   \n",
              "\n",
              "   Customers.sales_rep  Customers.rewards  Customers.profile_id  \\\n",
              "0                  NaN                NaN                   NaN   \n",
              "1                  NaN                NaN                   NaN   \n",
              "2                  NaN                NaN                   NaN   \n",
              "3                  NaN                NaN                   NaN   \n",
              "4                  NaN                NaN                   NaN   \n",
              "5                  NaN                NaN                   NaN   \n",
              "6                  NaN                NaN                   NaN   \n",
              "7                  NaN                NaN                   NaN   \n",
              "8                  NaN                NaN                   NaN   \n",
              "9                  NaN                NaN                   NaN   \n",
              "\n",
              "   Customers.last_modified  Customers.customer_type  Orders.id  \\\n",
              "0               1437764306                      0.0       3758   \n",
              "1               1437764354                      0.0         23   \n",
              "2               1437764354                      0.0       9531   \n",
              "3               1437762646                      0.0         29   \n",
              "4               1437764316                      0.0         30   \n",
              "5               1437764316                      0.0        226   \n",
              "6               1437764316                      0.0       1658   \n",
              "7               1437763617                      0.0         32   \n",
              "8               1437763421                      0.0         40   \n",
              "9               1437763553                      0.0         70   \n",
              "\n",
              "   Orders.customer_id Orders.fname Orders.lname Orders.company  \\\n",
              "0                 797      Christy         Dill       Company0   \n",
              "1                   3         John        Smith       Company1   \n",
              "2                   3         John        Smith       Company1   \n",
              "3                   4        James     Anderson            NaN   \n",
              "4                   5      Abraham       Pollak       Company3   \n",
              "5                   5          Abe       Pollak       Company3   \n",
              "6                   5      Abraham       Pollak       Company3   \n",
              "7                   7       peggy      thompson            NaN   \n",
              "8                   8        Randy        Pruss            NaN   \n",
              "9                  10       Tommy         Smith            NaN   \n",
              "\n",
              "  Orders.order_number  Orders.reorder_id Orders.external_source  \\\n",
              "0                3758                NaN                    NaN   \n",
              "1                  23                NaN                    NaN   \n",
              "2                9531                NaN                    NaN   \n",
              "3                  29                NaN                   Ebay   \n",
              "4                  30                NaN                    NaN   \n",
              "5                 226                NaN                    NaN   \n",
              "6                1658                NaN                    NaN   \n",
              "7                  32                NaN                   Ebay   \n",
              "8                  40                NaN                   Ebay   \n",
              "9                  70                NaN                   Ebay   \n",
              "\n",
              "   Orders.external_id Orders.currency  Orders.sales_rep  Orders.subtotal  \\\n",
              "0                 NaN             USD               NaN            57.20   \n",
              "1                 NaN             USD               NaN            20.00   \n",
              "2                 NaN             USD               NaN            68.78   \n",
              "3                 NaN             USD               NaN            19.56   \n",
              "4                 NaN             USD               NaN            36.05   \n",
              "5                 NaN             USD               NaN            44.46   \n",
              "6                 NaN             USD               NaN            14.63   \n",
              "7                 NaN             USD               NaN            39.19   \n",
              "8                 NaN             USD               NaN            59.75   \n",
              "9                 NaN             USD               NaN            34.00   \n",
              "\n",
              "   Orders.tax  Orders.shipping  Orders.coupon_id  Orders.coupon_amount  \\\n",
              "0         0.0             9.95              13.0                  2.86   \n",
              "1         NaN             9.99               NaN                   NaN   \n",
              "2         0.0             9.95               NaN                   NaN   \n",
              "3         0.0             9.95               NaN                   NaN   \n",
              "4         NaN             9.95               NaN                   NaN   \n",
              "5         NaN             9.95               NaN                   NaN   \n",
              "6         NaN             9.95               NaN                   NaN   \n",
              "7         0.0             9.95               NaN                   NaN   \n",
              "8         0.0             9.95               NaN                   NaN   \n",
              "9         0.0             9.95               NaN                   NaN   \n",
              "\n",
              "   Orders.gift_id  Orders.gift_amount Orders.fee_name  Orders.fee_amount  \\\n",
              "0             NaN                 NaN             NaN                NaN   \n",
              "1             NaN                 NaN             NaN                NaN   \n",
              "2             NaN                 NaN             NaN                NaN   \n",
              "3             NaN                 NaN             NaN               0.04   \n",
              "4             NaN                 NaN             NaN                NaN   \n",
              "5             NaN                 NaN             NaN                NaN   \n",
              "6             NaN                 NaN             NaN                NaN   \n",
              "7             NaN                 NaN             NaN                NaN   \n",
              "8             NaN                 NaN             NaN                NaN   \n",
              "9             NaN                 NaN             NaN                NaN   \n",
              "\n",
              "  Orders.discount_name  Orders.discount_amount  Orders.total  \\\n",
              "0                  NaN                     NaN         64.29   \n",
              "1                  NaN                     NaN         29.99   \n",
              "2                  NaN                     NaN         78.73   \n",
              "3                  NaN                     NaN         29.55   \n",
              "4                  NaN                     NaN         46.00   \n",
              "5                  NaN                     NaN         54.41   \n",
              "6                  NaN                     NaN         24.58   \n",
              "7                  NaN                     NaN         49.14   \n",
              "8                  NaN                     NaN         69.70   \n",
              "9        free shipping                    9.95         34.00   \n",
              "\n",
              "   Orders.balance_due Orders.shipping_carrier Orders.shipping_method  \\\n",
              "0                 NaN                   fedex              11|Ground   \n",
              "1                 NaN                   fedex              11|Ground   \n",
              "2                 NaN                  manual    0|Standard Shipping   \n",
              "3                 NaN                     NaN              11|Ground   \n",
              "4                 NaN                   fedex              11|Ground   \n",
              "5               54.41                   fedex              11|Ground   \n",
              "6               24.58                   fedex              11|Ground   \n",
              "7                 NaN                     NaN              11|Ground   \n",
              "8                0.00                  manual    0|Standard Shipping   \n",
              "9                0.00                  manual    0|Standard Shipping   \n",
              "\n",
              "   Orders.shipping_trans  Orders.shipping_flags  Orders.weight  \\\n",
              "0                    NaN                    NaN            NaN   \n",
              "1                    NaN                    NaN            NaN   \n",
              "2                    NaN                    NaN            NaN   \n",
              "3                    NaN                    NaN            NaN   \n",
              "4                    NaN                    NaN            NaN   \n",
              "5                    NaN                    NaN            NaN   \n",
              "6                    NaN                    NaN            NaN   \n",
              "7                    NaN                    NaN            NaN   \n",
              "8                    NaN                    NaN            NaN   \n",
              "9                    NaN                    NaN            NaN   \n",
              "\n",
              "  Orders.tracking  Orders.payment_status  Orders.payment_date  \\\n",
              "0      5.7204E+14                    3.0         1.426019e+09   \n",
              "1     1.28597E+14                    3.0         1.386090e+09   \n",
              "2             NaN                    3.0         1.449604e+09   \n",
              "3     7.96468E+14                    3.0         1.386780e+09   \n",
              "4     6.87398E+14                    3.0         1.386862e+09   \n",
              "5     5.74387E+14                    0.0                  NaN   \n",
              "6     1.49935E+13                    3.0         1.410364e+09   \n",
              "7     6.49865E+13                    3.0         1.388156e+09   \n",
              "8             NaN                    3.0         1.389647e+09   \n",
              "9             NaN                    3.0         1.390510e+09   \n",
              "\n",
              "  Orders.payment_user Orders.payment_type Orders.payment_method  \\\n",
              "0                 NaN       authorize.net                   NaN   \n",
              "1                 NaN       authorize.net                   NaN   \n",
              "2           genlee166       authorize.net                   NaN   \n",
              "3                 NaN                 NaN           Credit Card   \n",
              "4                 NaN                 NaN           Credit Card   \n",
              "5                 NaN                 NaN                   NaN   \n",
              "6                 NaN         Credit Card           Credit Card   \n",
              "7                 abe                 NaN           Credit Card   \n",
              "8                 abe         Credit Card           Credit Card   \n",
              "9                 abe         Credit Card           Credit Card   \n",
              "\n",
              "   Orders.payment_amount  Orders.purchase_order Orders.payment_id  \\\n",
              "0                  64.29                    NaN        6993607863   \n",
              "1                  29.99                    NaN                 0   \n",
              "2                  78.73                    NaN                 0   \n",
              "3                  29.55                    NaN               NaN   \n",
              "4                  46.00                    NaN               NaN   \n",
              "5                    NaN                    NaN               NaN   \n",
              "6                  24.58                    NaN               NaN   \n",
              "7                  49.14                    NaN               NaN   \n",
              "8                  69.70                    NaN               NaN   \n",
              "9                  34.00                    NaN               NaN   \n",
              "\n",
              "  Orders.payment_code  Orders.payment_ref  Orders.status  Orders.placed_date  \\\n",
              "0              510142                 NaN              1          1426019099   \n",
              "1                   0                 NaN              1          1386090455   \n",
              "2                   0                 NaN              3          1449603652   \n",
              "3                 NaN                 NaN              1          1386780263   \n",
              "4                 NaN                 NaN              1          1386861599   \n",
              "5                 NaN                 NaN              1          1394380527   \n",
              "6                 NaN                 NaN              1          1410363655   \n",
              "7                 NaN                 NaN              1          1388155947   \n",
              "8                 NaN                 NaN              1          1389303216   \n",
              "9                 NaN                 NaN              1          1390509516   \n",
              "\n",
              "   Orders.updated_date  Orders.shipped_date              Orders.comments  \\\n",
              "0         1.438868e+09         1.426101e+09                          NaN   \n",
              "1         1.440529e+09         1.386103e+09                          NaN   \n",
              "2         1.450213e+09                  NaN                   test order   \n",
              "3         1.440529e+09         1.386800e+09  ebay order\\rpaid by pay pal   \n",
              "4         1.440529e+09         1.386876e+09                          NaN   \n",
              "5         1.438868e+09         1.394482e+09                          NaN   \n",
              "6         1.438868e+09         1.410382e+09                          NaN   \n",
              "7         1.440529e+09         1.388179e+09                          NaN   \n",
              "8         1.440529e+09         1.389627e+09                          NaN   \n",
              "9         1.440529e+09         1.391709e+09                          NaN   \n",
              "\n",
              "                                        Orders.notes  Orders.registry_id  \\\n",
              "0                               Insured By Eye4Fraud                 NaN   \n",
              "1                                                NaN                 NaN   \n",
              "2                                               Test                 NaN   \n",
              "3                                                NaN                 NaN   \n",
              "4                                                NaN                 NaN   \n",
              "5  this order was placed as a apologize for the c...                 NaN   \n",
              "6  Additional Order for PO 763 as customer return...                 NaN   \n",
              "7                                         ebay order                 NaN   \n",
              "8                                         ebay order                 NaN   \n",
              "9                                         ebay order                 NaN   \n",
              "\n",
              "   Orders.gift_message  Orders.website  Orders.mailing  Orders.flags  \\\n",
              "0                  NaN             NaN             NaN           NaN   \n",
              "1                  NaN             NaN             NaN           NaN   \n",
              "2                  NaN             NaN             NaN           NaN   \n",
              "3                  NaN             NaN             NaN           NaN   \n",
              "4                  NaN             NaN             NaN           NaN   \n",
              "5                  NaN             NaN             NaN           NaN   \n",
              "6                  NaN             NaN             NaN           NaN   \n",
              "7                  NaN             NaN             NaN           NaN   \n",
              "8                  NaN             NaN             NaN           NaN   \n",
              "9                  NaN             NaN             NaN           NaN   \n",
              "\n",
              "   Orders.partial_ship  Orders.customer_type  Order_Items.id  \\\n",
              "0                  NaN                   0.0            5284   \n",
              "1                  NaN                   0.0              31   \n",
              "2                  NaN                   0.0           11655   \n",
              "3                  NaN                   0.0            1816   \n",
              "4                  NaN                   0.0              40   \n",
              "5                  NaN                   0.0             341   \n",
              "6                  NaN                   0.0            2997   \n",
              "7                  NaN                   0.0            1797   \n",
              "8                  NaN                   0.0            1796   \n",
              "9                  NaN                   0.0            1795   \n",
              "\n",
              "   Order_Items.parent  Order_Items.product_id  \\\n",
              "0                3758                  2310.0   \n",
              "1                  23                   177.0   \n",
              "2                9531                     1.0   \n",
              "3                  29                   983.0   \n",
              "4                  30                   991.0   \n",
              "5                 226                   310.0   \n",
              "6                1658                   799.0   \n",
              "7                  32                  1379.0   \n",
              "8                  40                   815.0   \n",
              "9                  70                     NaN   \n",
              "\n",
              "                            Order_Items.product_name  Order_Items.attributes  \\\n",
              "0                             Basic Rollators, Green                     NaN   \n",
              "1                           Urinary Drain Bags,0.000                     NaN   \n",
              "2      SensiCare Nitrile Exam Gloves, Blue, XX-Large                     NaN   \n",
              "3                        Basket for 2-Button Walkers                     NaN   \n",
              "4                                         Tens Units                     NaN   \n",
              "5         FitRight Ultra Protective Underwear, Large                     NaN   \n",
              "6  SensiCare Silk Nitrile Exam Gloves, Dark Blue,...                     NaN   \n",
              "7  Aloetouch Sensitive Personal Cleansing Baby Wipes                     NaN   \n",
              "8                       Universal Raised Toilet Seat                     NaN   \n",
              "9    Drive medical excersize paddler item #RTL10273                      NaN   \n",
              "\n",
              "  Order_Items.attribute_names  Order_Items.attribute_prices  Order_Items.qty  \\\n",
              "0                         NaN                           NaN                1   \n",
              "1                         NaN                           NaN                4   \n",
              "2                         NaN                           NaN                1   \n",
              "3                         NaN                           NaN                1   \n",
              "4                         NaN                           NaN                1   \n",
              "5                         NaN                           NaN                1   \n",
              "6                         NaN                           NaN                1   \n",
              "7                         NaN                           NaN                1   \n",
              "8                         NaN                           NaN                1   \n",
              "9                         NaN                           NaN                1   \n",
              "\n",
              "   Order_Items.price  Order_Items.cost  Order_Items.registry_item  \\\n",
              "0              57.20             44.00                        NaN   \n",
              "1               5.00              1.87                        NaN   \n",
              "2              68.78             52.50                        NaN   \n",
              "3              19.56             12.62                        NaN   \n",
              "4              36.05             25.75                        NaN   \n",
              "5              44.46             32.22                        NaN   \n",
              "6              14.63              8.36                        NaN   \n",
              "7              39.19             27.99                        NaN   \n",
              "8              59.75             45.96                        NaN   \n",
              "9              34.00             34.00                        NaN   \n",
              "\n",
              "   Order_Items.related_id  Order_Items.reorder_frequency  \\\n",
              "0                     NaN                            NaN   \n",
              "1                     NaN                            NaN   \n",
              "2                     NaN                            NaN   \n",
              "3                     NaN                            NaN   \n",
              "4                     NaN                            NaN   \n",
              "5                     NaN                            2.0   \n",
              "6                     NaN                            3.0   \n",
              "7                     NaN                            NaN   \n",
              "8                     NaN                            NaN   \n",
              "9                     NaN                            NaN   \n",
              "\n",
              "   Order_Items.account_id  Order_Items.flags  Products.id  Products.status  \\\n",
              "0                     NaN                NaN       2310.0              0.0   \n",
              "1                     NaN                2.0        177.0              1.0   \n",
              "2                     NaN                NaN          1.0              0.0   \n",
              "3                     NaN                NaN        983.0              0.0   \n",
              "4                     NaN                NaN        991.0              1.0   \n",
              "5                     NaN                NaN          NaN              NaN   \n",
              "6                     NaN                NaN          NaN              NaN   \n",
              "7                     NaN                NaN       1379.0              0.0   \n",
              "8                     NaN                NaN        815.0              0.0   \n",
              "9                     NaN                0.0          NaN              NaN   \n",
              "\n",
              "   Products.product_type        Products.template  Products.vendor  \\\n",
              "0                    NaN  sub-product-detail.html              1.0   \n",
              "1                    NaN  sub-product-detail.html              1.0   \n",
              "2                    NaN  sub-product-detail.html              1.0   \n",
              "3                    NaN  sub-product-detail.html              1.0   \n",
              "4                    NaN  sub-product-detail.html              1.0   \n",
              "5                    NaN                      NaN              NaN   \n",
              "6                    NaN                      NaN              NaN   \n",
              "7                    NaN  sub-product-detail.html              1.0   \n",
              "8                    NaN  sub-product-detail.html              1.0   \n",
              "9                    NaN                      NaN              NaN   \n",
              "\n",
              "   Products.import_id                                      Products.name  \\\n",
              "0                 3.0                        Basic Steel Rollators,Green   \n",
              "1                 3.0                                 Urinary Drain Bags   \n",
              "2                 3.0        SensiCare Nitrile Exam Gloves,Blue,XX-Large   \n",
              "3                 3.0                        Basket for 2-Button Walkers   \n",
              "4                 3.0                              TENS 3000 Analog Unit   \n",
              "5                 NaN                                                NaN   \n",
              "6                 NaN                                                NaN   \n",
              "7                 3.0  Aloetouch Sensitive Personal Cleansing Baby Wipes   \n",
              "8                 3.0                       Universal Raised Toilet Seat   \n",
              "9                 NaN                                                NaN   \n",
              "\n",
              "                               Products.display_name  Products.menu_name  \\\n",
              "0  Basic Lightweight Rollators For Adults, With S...                 NaN   \n",
              "1                                 Urinary Drain Bags                 NaN   \n",
              "2      SensiCare Nitrile Exam Gloves, Blue, XX-Large                 NaN   \n",
              "3                        Basket for 2-Button Walkers                 NaN   \n",
              "4                              TENS 3000 Analog Unit                 NaN   \n",
              "5                                                NaN                 NaN   \n",
              "6                                                NaN                 NaN   \n",
              "7  Aloetouch Sensitive Personal Cleansing Baby Wipes                 NaN   \n",
              "8                       Universal Raised Toilet Seat                 NaN   \n",
              "9                                                NaN                 NaN   \n",
              "\n",
              "   Products.list_price  Products.price  Products.sale_price  Products.cost  \\\n",
              "0                80.70           57.64                  NaN          44.00   \n",
              "1                14.41           10.29                  5.0           1.87   \n",
              "2                96.29           68.78                  NaN          52.50   \n",
              "3                27.38           19.56                  NaN          12.62   \n",
              "4                50.47           36.05                  NaN          25.75   \n",
              "5                  NaN             NaN                  NaN            NaN   \n",
              "6                  NaN             NaN                  NaN            NaN   \n",
              "7                54.87           39.19                  NaN          27.99   \n",
              "8                84.29           60.21                  NaN          45.96   \n",
              "9                  NaN             NaN                  NaN            NaN   \n",
              "\n",
              "   Products.flags  Products.left_flag  Products.right_flag  \\\n",
              "0             0.0                 NaN                  NaN   \n",
              "1            65.0                 NaN                  NaN   \n",
              "2         32896.0                 NaN                  NaN   \n",
              "3             0.0                 NaN                  NaN   \n",
              "4             0.0                 NaN                  NaN   \n",
              "5             NaN                 NaN                  NaN   \n",
              "6             NaN                 NaN                  NaN   \n",
              "7             0.0                 NaN                  NaN   \n",
              "8             0.0                 NaN                  NaN   \n",
              "9             NaN                 NaN                  NaN   \n",
              "\n",
              "   Products.last_modified  Products.taxable  Products.shopping_gtin  \\\n",
              "0            1.463163e+09               1.0            1.088440e+13   \n",
              "1            1.462370e+09               1.0            1.008020e+13   \n",
              "2            1.463163e+09               1.0            4.008020e+13   \n",
              "3            1.462595e+09               1.0                     NaN   \n",
              "4            1.462370e+09               1.0                     NaN   \n",
              "5                     NaN               NaN                     NaN   \n",
              "6                     NaN               NaN                     NaN   \n",
              "7            1.462370e+09               1.0            4.088440e+13   \n",
              "8            1.462370e+09               1.0            1.008020e+13   \n",
              "9                     NaN               NaN                     NaN   \n",
              "\n",
              "  Products.shopping_brand Products.shopping_mpn Products.shopping_gender  \\\n",
              "0                 MEDLINE           MDS86850EGS                      NaN   \n",
              "1                 MEDLINE             DYNC1674H                      NaN   \n",
              "2                 MEDLINE                484805                      NaN   \n",
              "3                 MEDLINE            MDS86615KH                      NaN   \n",
              "4      ROSCOE MEDICAL INC              MDS86710                      NaN   \n",
              "5                     NaN                   NaN                      NaN   \n",
              "6                     NaN                   NaN                      NaN   \n",
              "7                 MEDLINE             MSC263153                      NaN   \n",
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              "9                     NaN                   NaN                      NaN   \n",
              "\n",
              "  Products.shopping_color Products.shopping_age  Products.shopping_flags  \\\n",
              "0                   Green                   NaN                     62.0   \n",
              "1                     NaN                   NaN                     62.0   \n",
              "2                    Blue                   NaN                     62.0   \n",
              "3                     NaN                   NaN                     62.0   \n",
              "4                     NaN                   NaN                     62.0   \n",
              "5                     NaN                   NaN                      NaN   \n",
              "6                     NaN                   NaN                      NaN   \n",
              "7                     NaN                   NaN                     62.0   \n",
              "8                     NaN                   NaN                     62.0   \n",
              "9                     NaN                   NaN                      NaN   \n",
              "\n",
              "  Products.amazon_asin  Products.amazon_type Products.amazon_item_type  \\\n",
              "0           B00I6GQE0A                   NaN      health-care-products   \n",
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              "3           B00083DG00                   NaN      health-care-products   \n",
              "4                  NaN                   NaN      health-care-products   \n",
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              "8           B0015K5ULS                   NaN      health-care-products   \n",
              "9                  NaN                   NaN                       NaN   \n",
              "\n",
              "   Products.amazon_price      Products.google_shopping_id  \\\n",
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              "1                    NaN                              NaN   \n",
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              "9                    NaN                              NaN   \n",
              "\n",
              "                       Products.google_shopping_type  \\\n",
              "0    Walking Aids > Rollators, & Walkers > Rollators   \n",
              "1  Incontinence, Urology & Ostomy > Urology > Dra...   \n",
              "2  Apparel > Gloves > Nonsterile PF LF Synthetic ...   \n",
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              "5                                                NaN   \n",
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              "7  Incontinence, Urology & Ostomy > incontinence ...   \n",
              "8  Bathroom & Safety > Bathroom > Toilet Risers &...   \n",
              "9                                                NaN   \n",
              "\n",
              "    Products.google_shopping_cat  Products.google_adwords  \\\n",
              "0  Health & Beauty > Health Care                      NaN   \n",
              "1  Health & Beauty > Health Care                      NaN   \n",
              "2  Health & Beauty > Health Care                      NaN   \n",
              "3  Health & Beauty > Health Care                      NaN   \n",
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              "5                            NaN                      NaN   \n",
              "6                            NaN                      NaN   \n",
              "7  Health & Beauty > Health Care                      NaN   \n",
              "8  Health & Beauty > Health Care                      NaN   \n",
              "9                            NaN                      NaN   \n",
              "\n",
              "   Products.shopping_cat Products.shopping_type  \\\n",
              "0                    NaN                    NaN   \n",
              "1                  199.0          Miscellaneous   \n",
              "2                  199.0          Miscellaneous   \n",
              "3                  199.0          Miscellaneous   \n",
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              "5                    NaN                    NaN   \n",
              "6                    NaN                    NaN   \n",
              "7                  199.0          Miscellaneous   \n",
              "8                  199.0          Miscellaneous   \n",
              "9                    NaN                    NaN   \n",
              "\n",
              "                           Products.pricegrabber_cat  Products.shopzilla_cat  \\\n",
              "0                                                NaN                     NaN   \n",
              "1  Health & Beauty > Medical Supplies > Medical Aids                 22005.0   \n",
              "2  Health & Beauty > Medical Supplies > Medical Aids                 22005.0   \n",
              "3  Health & Beauty > Medical Supplies > Medical Aids                 22005.0   \n",
              "4  Health & Beauty > Medical Supplies > Medical Aids                 22005.0   \n",
              "5                                                NaN                     NaN   \n",
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              "8  Health & Beauty > Medical Supplies > Medical Aids                 22005.0   \n",
              "9                                                NaN                     NaN   \n",
              "\n",
              "                                Products.thefind_cat Products.quickbooks_id  \\\n",
              "0                                                NaN    8000064C-1434298761   \n",
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              "2  Health & Beauty > Medical Supplies > Medical Aids    800087BB-1438898332   \n",
              "3  Health & Beauty > Medical Supplies > Medical Aids    8000065E-1434298780   \n",
              "4  Health & Beauty > Medical Supplies > Medical Aids    80008B12-1438900627   \n",
              "5                                                NaN                    NaN   \n",
              "6                                                NaN                    NaN   \n",
              "7  Health & Beauty > Medical Supplies > Medical Aids    8000020A-1434117430   \n",
              "8  Health & Beauty > Medical Supplies > Medical Aids    80008C1B-1438901248   \n",
              "9                                                NaN                    NaN   \n",
              "\n",
              "   Products.qb_edit_sequence  Products.price_break_type  \\\n",
              "0               1.450325e+09                        NaN   \n",
              "1               1.450322e+09                        NaN   \n",
              "2               1.450321e+09                        NaN   \n",
              "3               1.450323e+09                        NaN   \n",
              "4               1.450323e+09                        NaN   \n",
              "5                        NaN                        NaN   \n",
              "6                        NaN                        NaN   \n",
              "7               1.450323e+09                        NaN   \n",
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              "9                        NaN                        NaN   \n",
              "\n",
              "   Products.price_breaks                Products.short_description  \\\n",
              "0                    NaN             ROLLATOR,BASIC,STEEL,6\",GREEN   \n",
              "1                    NaN   BAG,DRAINAGE,UROLOGY,2000ML,ANTI REFLUX   \n",
              "2                    NaN  GLOVE,EXAM,NITRILE,BLUE,FINGRTIP,TXT,XXL   \n",
              "3                    NaN           BASKET,WALKER,FOR 2 BUTTON WALK   \n",
              "4                    NaN        DEVICE,TENS UNIT,TENS 1000,DUAL CH   \n",
              "5                    NaN                                       NaN   \n",
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              "7                    NaN  WIPE, BABY, ALOETOUCH, SENSITIVE, FRAG F   \n",
              "8                    NaN              SEAT,TOILET,RAISED,UNIVERSAL   \n",
              "9                    NaN                                       NaN   \n",
              "\n",
              "                           Products.long_description  Products.websites  \\\n",
              "0  <ul><li>  Classically designed, value priced</...                NaN   \n",
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              "7  nsitive Personal Cleansing Baby Wipe.pdf   \n",
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              "0                                       E0149 +E0156                1.0   \n",
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              "5              NaN                       NaN                              NaN   \n",
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              "      <th>Orders.payment_user</th>\n",
              "      <th>Orders.payment_type</th>\n",
              "      <th>Orders.payment_method</th>\n",
              "      <th>Orders.payment_amount</th>\n",
              "      <th>Orders.purchase_order</th>\n",
              "      <th>Orders.payment_id</th>\n",
              "      <th>Orders.payment_code</th>\n",
              "      <th>Orders.payment_ref</th>\n",
              "      <th>Orders.status</th>\n",
              "      <th>Orders.placed_date</th>\n",
              "      <th>Orders.updated_date</th>\n",
              "      <th>Orders.shipped_date</th>\n",
              "      <th>Orders.comments</th>\n",
              "      <th>Orders.notes</th>\n",
              "      <th>Orders.registry_id</th>\n",
              "      <th>Orders.gift_message</th>\n",
              "      <th>Orders.website</th>\n",
              "      <th>Orders.mailing</th>\n",
              "      <th>Orders.flags</th>\n",
              "      <th>Orders.partial_ship</th>\n",
              "      <th>Orders.customer_type</th>\n",
              "      <th>Order_Items.id</th>\n",
              "      <th>Order_Items.parent</th>\n",
              "      <th>Order_Items.product_id</th>\n",
              "      <th>Order_Items.product_name</th>\n",
              "      <th>Order_Items.attributes</th>\n",
              "      <th>Order_Items.attribute_names</th>\n",
              "      <th>Order_Items.attribute_prices</th>\n",
              "      <th>Order_Items.qty</th>\n",
              "      <th>Order_Items.price</th>\n",
              "      <th>Order_Items.cost</th>\n",
              "      <th>Order_Items.registry_item</th>\n",
              "      <th>Order_Items.related_id</th>\n",
              "      <th>Order_Items.reorder_frequency</th>\n",
              "      <th>Order_Items.account_id</th>\n",
              "      <th>Order_Items.flags</th>\n",
              "      <th>Products.id</th>\n",
              "      <th>Products.status</th>\n",
              "      <th>Products.product_type</th>\n",
              "      <th>Products.template</th>\n",
              "      <th>Products.vendor</th>\n",
              "      <th>Products.import_id</th>\n",
              "      <th>Products.name</th>\n",
              "      <th>Products.display_name</th>\n",
              "      <th>Products.menu_name</th>\n",
              "      <th>Products.list_price</th>\n",
              "      <th>Products.price</th>\n",
              "      <th>Products.sale_price</th>\n",
              "      <th>Products.cost</th>\n",
              "      <th>Products.flags</th>\n",
              "      <th>Products.left_flag</th>\n",
              "      <th>Products.right_flag</th>\n",
              "      <th>Products.last_modified</th>\n",
              "      <th>Products.taxable</th>\n",
              "      <th>Products.shopping_gtin</th>\n",
              "      <th>Products.shopping_brand</th>\n",
              "      <th>Products.shopping_mpn</th>\n",
              "      <th>Products.shopping_gender</th>\n",
              "      <th>Products.shopping_color</th>\n",
              "      <th>Products.shopping_age</th>\n",
              "      <th>Products.shopping_flags</th>\n",
              "      <th>Products.amazon_asin</th>\n",
              "      <th>Products.amazon_type</th>\n",
              "      <th>Products.amazon_item_type</th>\n",
              "      <th>Products.amazon_price</th>\n",
              "      <th>Products.google_shopping_id</th>\n",
              "      <th>Products.google_shopping_type</th>\n",
              "      <th>Products.google_shopping_cat</th>\n",
              "      <th>Products.google_adwords</th>\n",
              "      <th>Products.shopping_cat</th>\n",
              "      <th>Products.shopping_type</th>\n",
              "      <th>Products.pricegrabber_cat</th>\n",
              "      <th>Products.shopzilla_cat</th>\n",
              "      <th>Products.thefind_cat</th>\n",
              "      <th>Products.quickbooks_id</th>\n",
              "      <th>Products.qb_edit_sequence</th>\n",
              "      <th>Products.price_break_type</th>\n",
              "      <th>Products.price_breaks</th>\n",
              "      <th>Products.short_description</th>\n",
              "      <th>Products.long_description</th>\n",
              "      <th>Products.websites</th>\n",
              "      <th>Products.video</th>\n",
              "      <th>Products.audio</th>\n",
              "      <th>Products.seo_title</th>\n",
              "      <th>Products.seo_description</th>\n",
              "      <th>Products.seo_keywords</th>\n",
              "      <th>Products.seo_header</th>\n",
              "      <th>Products.seo_footer</th>\n",
              "      <th>Products.seo_url</th>\n",
              "      <th>Products.seo_category</th>\n",
              "      <th>Products.unit</th>\n",
              "      <th>Products.packaging</th>\n",
              "      <th>Products.display_packaging</th>\n",
              "      <th>Products.multiple</th>\n",
              "      <th>Products.length</th>\n",
              "      <th>Products.width</th>\n",
              "      <th>Products.height</th>\n",
              "      <th>Products.rx</th>\n",
              "      <th>Products.latex</th>\n",
              "      <th>Products.upc</th>\n",
              "      <th>Products.msds_link</th>\n",
              "      <th>Products.msds_label</th>\n",
              "      <th>Products.lit_link</th>\n",
              "      <th>Products.lit_label</th>\n",
              "      <th>Products.hcpcs</th>\n",
              "      <th>Products.case_qty</th>\n",
              "      <th>Products.markup</th>\n",
              "      <th>Products.override_markup</th>\n",
              "      <th>Products.notes</th>\n",
              "      <th>Products.import_flags</th>\n",
              "      <th>Products.map_price</th>\n",
              "      <th>Products.features_title</th>\n",
              "      <th>Products.warranty</th>\n",
              "      <th>Products.hygienic</th>\n",
              "      <th>Products.default_quantity</th>\n",
              "      <th>Products.user_size</th>\n",
              "      <th>Products.assembly</th>\n",
              "      <th>Products.installation</th>\n",
              "      <th>Products.shipping_length</th>\n",
              "      <th>Products.shipping_width</th>\n",
              "      <th>Products.shipping_height</th>\n",
              "      <th>Products.shipping_weight</th>\n",
              "      <th>Products.handling_time</th>\n",
              "      <th>Products.rotation_link</th>\n",
              "      <th>Products.google_shopping_label</th>\n",
              "      <th>Products.product_option</th>\n",
              "      <th>Products.size</th>\n",
              "      <th>Products.material</th>\n",
              "      <th>Products.arm_style</th>\n",
              "      <th>Products.leg_style</th>\n",
              "      <th>Products.seat_size</th>\n",
              "      <th>Products.family_id</th>\n",
              "      <th>Products.saved_status</th>\n",
              "      <th>Products.freight_cost</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>797</td>\n",
              "      <td>Christy</td>\n",
              "      <td>Dill</td>\n",
              "      <td>Company0</td>\n",
              "      <td>1426018724</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1437764306</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3758</td>\n",
              "      <td>797</td>\n",
              "      <td>Christy</td>\n",
              "      <td>Dill</td>\n",
              "      <td>Company0</td>\n",
              "      <td>3758</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>USD</td>\n",
              "      <td>NaN</td>\n",
              "      <td>57.20</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.95</td>\n",
              "      <td>13.0</td>\n",
              "      <td>2.86</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>64.29</td>\n",
              "      <td>NaN</td>\n",
              "      <td>fedex</td>\n",
              "      <td>11|Ground</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.7204E+14</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.426019e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>authorize.net</td>\n",
              "      <td>NaN</td>\n",
              "      <td>64.29</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6993607863</td>\n",
              "      <td>510142</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>1426019099</td>\n",
              "      <td>1.438868e+09</td>\n",
              "      <td>1.426101e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Insured By Eye4Fraud</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5284</td>\n",
              "      <td>3758</td>\n",
              "      <td>2310.0</td>\n",
              "      <td>Basic Rollators, Green</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>57.20</td>\n",
              "      <td>44.00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2310.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>sub-product-detail.html</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Basic Steel Rollators,Green</td>\n",
              "      <td>Basic Lightweight Rollators For Adults, With S...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>80.70</td>\n",
              "      <td>57.64</td>\n",
              "      <td>NaN</td>\n",
              "      <td>44.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.463163e+09</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.088440e+13</td>\n",
              "      <td>MEDLINE</td>\n",
              "      <td>MDS86850EGS</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Green</td>\n",
              "      <td>NaN</td>\n",
              "      <td>62.0</td>\n",
              "      <td>B00I6GQE0A</td>\n",
              "      <td>NaN</td>\n",
              "      <td>health-care-products</td>\n",
              "      <td>NaN</td>\n",
              "      <td>generic/online%3Aen%3AUS%3A2310</td>\n",
              "      <td>Walking Aids &gt; Rollators, &amp; Walkers &gt; Rollators</td>\n",
              "      <td>Health &amp; Beauty &gt; Health Care</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8000064C-1434298761</td>\n",
              "      <td>1.450325e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ROLLATOR,BASIC,STEEL,6\",GREEN</td>\n",
              "      <td>&lt;ul&gt;&lt;li&gt;  Classically designed, value priced&lt;/...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Basic Lightweight Rollators For Adults, With S...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Basic-Rollators-For-Adults-With-Seat-Green-6-W...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>EA</td>\n",
              "      <td>1 Each / Each</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 EA</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>E0149 +E0156</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>136.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>24.80</td>\n",
              "      <td>7.50</td>\n",
              "      <td>30.40</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>PF61071</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3</td>\n",
              "      <td>John</td>\n",
              "      <td>Smith</td>\n",
              "      <td>Company1</td>\n",
              "      <td>1386089139</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1437764354</td>\n",
              "      <td>0.0</td>\n",
              "      <td>23</td>\n",
              "      <td>3</td>\n",
              "      <td>John</td>\n",
              "      <td>Smith</td>\n",
              "      <td>Company1</td>\n",
              "      <td>23</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>USD</td>\n",
              "      <td>NaN</td>\n",
              "      <td>20.00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9.99</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>29.99</td>\n",
              "      <td>NaN</td>\n",
              "      <td>fedex</td>\n",
              "      <td>11|Ground</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.28597E+14</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.386090e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>authorize.net</td>\n",
              "      <td>NaN</td>\n",
              "      <td>29.99</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>1386090455</td>\n",
              "      <td>1.440529e+09</td>\n",
              "      <td>1.386103e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>31</td>\n",
              "      <td>23</td>\n",
              "      <td>177.0</td>\n",
              "      <td>Urinary Drain Bags,0.000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4</td>\n",
              "      <td>5.00</td>\n",
              "      <td>1.87</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.0</td>\n",
              "      <td>177.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>sub-product-detail.html</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Urinary Drain Bags</td>\n",
              "      <td>Urinary Drain Bags</td>\n",
              "      <td>NaN</td>\n",
              "      <td>14.41</td>\n",
              "      <td>10.29</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.87</td>\n",
              "      <td>65.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.462370e+09</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.008020e+13</td>\n",
              "      <td>MEDLINE</td>\n",
              "      <td>DYNC1674H</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>62.0</td>\n",
              "      <td>B000QF7Y76</td>\n",
              "      <td>NaN</td>\n",
              "      <td>health-care-products</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Incontinence, Urology &amp; Ostomy &gt; Urology &gt; Dra...</td>\n",
              "      <td>Health &amp; Beauty &gt; Health Care</td>\n",
              "      <td>NaN</td>\n",
              "      <td>199.0</td>\n",
              "      <td>Miscellaneous</td>\n",
              "      <td>Health &amp; Beauty &gt; Medical Supplies &gt; Medical Aids</td>\n",
              "      <td>22005.0</td>\n",
              "      <td>Health &amp; Beauty &gt; Medical Supplies &gt; Medical Aids</td>\n",
              "      <td>80008C35-1438901283</td>\n",
              "      <td>1.450322e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>BAG,DRAINAGE,UROLOGY,2000ML,ANTI REFLUX</td>\n",
              "      <td>&lt;ul&gt;&lt;li&gt;  Only Medline drain bags have a slide...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Urinary Drain Bags | MEDLINE - DYNC1674H</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Urinary-Drain-Bags0000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>EA</td>\n",
              "      <td>1 Each / Each</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 EA</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Rx</td>\n",
              "      <td>Yes</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://medline360.medline.com:443/irj/servlet...</td>\n",
              "      <td>508f2d75-582e-2e10-2eab-d83980a9b1d0</td>\n",
              "      <td>A4357</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>OFF sale cause it is an RX item</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.00</td>\n",
              "      <td>7.00</td>\n",
              "      <td>1.50</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>Health &amp; Beauty &gt; Health Care</td>\n",
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              "      <td>Health &amp; Beauty &gt; Medical Supplies &gt; Medical Aids</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>Basket for 2-Button Walkers</td>\n",
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              "      <td>Health &amp; Beauty &gt; Health Care</td>\n",
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              "      <td>199.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>EA</td>\n",
              "      <td>1 Each / Each</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 EA</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Rx</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>E0730</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>OFF sale cause it is an RX item</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.50</td>\n",
              "      <td>2.75</td>\n",
              "      <td>12.00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>PF03045</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>5</td>\n",
              "      <td>Abraham</td>\n",
              "      <td>Pollak</td>\n",
              "      <td>Company3</td>\n",
              "      <td>1386861599</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1437764316</td>\n",
              "      <td>0.0</td>\n",
              "      <td>226</td>\n",
              "      <td>5</td>\n",
              "      <td>Abe</td>\n",
              "      <td>Pollak</td>\n",
              "      <td>Company3</td>\n",
              "      <td>226</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>USD</td>\n",
              "      <td>NaN</td>\n",
              "      <td>44.46</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9.95</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>54.41</td>\n",
              "      <td>54.41</td>\n",
              "      <td>fedex</td>\n",
              "      <td>11|Ground</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.74387E+14</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>1394380527</td>\n",
              "      <td>1.438868e+09</td>\n",
              "      <td>1.394482e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>this order was placed as a apologize for the c...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>341</td>\n",
              "      <td>226</td>\n",
              "      <td>310.0</td>\n",
              "      <td>FitRight Ultra Protective Underwear, Large</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>44.46</td>\n",
              "      <td>32.22</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>5</td>\n",
              "      <td>Abraham</td>\n",
              "      <td>Pollak</td>\n",
              "      <td>Company3</td>\n",
              "      <td>1386861599</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1437764316</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1658</td>\n",
              "      <td>5</td>\n",
              "      <td>Abraham</td>\n",
              "      <td>Pollak</td>\n",
              "      <td>Company3</td>\n",
              "      <td>1658</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>USD</td>\n",
              "      <td>NaN</td>\n",
              "      <td>14.63</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9.95</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>24.58</td>\n",
              "      <td>24.58</td>\n",
              "      <td>fedex</td>\n",
              "      <td>11|Ground</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.49935E+13</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.410364e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Credit Card</td>\n",
              "      <td>Credit Card</td>\n",
              "      <td>24.58</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>1410363655</td>\n",
              "      <td>1.438868e+09</td>\n",
              "      <td>1.410382e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Additional Order for PO 763 as customer return...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2997</td>\n",
              "      <td>1658</td>\n",
              "      <td>799.0</td>\n",
              "      <td>SensiCare Silk Nitrile Exam Gloves, Dark Blue,...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>14.63</td>\n",
              "      <td>8.36</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>7</td>\n",
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              "      <td>thompson</td>\n",
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              "      <td>1388155947</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1437763617</td>\n",
              "      <td>0.0</td>\n",
              "      <td>32</td>\n",
              "      <td>7</td>\n",
              "      <td>peggy</td>\n",
              "      <td>thompson</td>\n",
              "      <td>NaN</td>\n",
              "      <td>32</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Ebay</td>\n",
              "      <td>NaN</td>\n",
              "      <td>USD</td>\n",
              "      <td>NaN</td>\n",
              "      <td>39.19</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.95</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>49.14</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>11|Ground</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.49865E+13</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.388156e+09</td>\n",
              "      <td>abe</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Credit Card</td>\n",
              "      <td>49.14</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>1388155947</td>\n",
              "      <td>1.440529e+09</td>\n",
              "      <td>1.388179e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ebay order</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1797</td>\n",
              "      <td>32</td>\n",
              "      <td>1379.0</td>\n",
              "      <td>Aloetouch Sensitive Personal Cleansing Baby Wipes</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>39.19</td>\n",
              "      <td>27.99</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1379.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>sub-product-detail.html</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Aloetouch Sensitive Personal Cleansing Baby Wipes</td>\n",
              "      <td>Aloetouch Sensitive Personal Cleansing Baby Wipes</td>\n",
              "      <td>NaN</td>\n",
              "      <td>54.87</td>\n",
              "      <td>39.19</td>\n",
              "      <td>NaN</td>\n",
              "      <td>27.99</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.462370e+09</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.088440e+13</td>\n",
              "      <td>MEDLINE</td>\n",
              "      <td>MSC263153</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>62.0</td>\n",
              "      <td>B00BKSHNGU</td>\n",
              "      <td>NaN</td>\n",
              "      <td>health-care-products</td>\n",
              "      <td>NaN</td>\n",
              "      <td>generic/online%3Aen%3AUS%3A1379</td>\n",
              "      <td>Incontinence, Urology &amp; Ostomy &gt; incontinence ...</td>\n",
              "      <td>Health &amp; Beauty &gt; Health Care</td>\n",
              "      <td>NaN</td>\n",
              "      <td>199.0</td>\n",
              "      <td>Miscellaneous</td>\n",
              "      <td>Health &amp; Beauty &gt; Medical Supplies &gt; Medical Aids</td>\n",
              "      <td>22005.0</td>\n",
              "      <td>Health &amp; Beauty &gt; Medical Supplies &gt; Medical Aids</td>\n",
              "      <td>8000020A-1434117430</td>\n",
              "      <td>1.450323e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>WIPE, BABY, ALOETOUCH, SENSITIVE, FRAG F</td>\n",
              "      <td>&lt;ul&gt;&lt;li&gt; Super-soft, spunlace wipes are gentle...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Aloetouch Sensitive Personal Cleansing Baby Wi...</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>Aloetouch-Sensitive-Personal-Cleansing-Baby-Wipes</td>\n",
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              "      <td>CS</td>\n",
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              "      <td>1 CS</td>\n",
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              "      <td>http://www.medline.com/media/catalog/Docs/MSDS...</td>\n",
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              "      <td>59.75</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>69.70</td>\n",
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              "      <td>3.0</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>Universal Raised Toilet Seat</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>https://medline360.medline.com:443/irj/servlet...</td>\n",
              "      <td>c0f5b78d-301d-2f10-e1a6-95d645f3becf</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>17.50</td>\n",
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              "      <td>10.00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
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              "      <td>Tommy</td>\n",
              "      <td>Smith</td>\n",
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              "      <td>1390509516</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>34.00</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>free shipping</td>\n",
              "      <td>9.95</td>\n",
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              "      <td>0.00</td>\n",
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              "      <td>0|Standard Shipping</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.390510e+09</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>1390509516</td>\n",
              "      <td>1.440529e+09</td>\n",
              "      <td>1.391709e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>ebay order</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1795</td>\n",
              "      <td>70</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Drive medical excersize paddler item #RTL10273</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>34.00</td>\n",
              "      <td>34.00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-03b40f1a-e0c3-4c8e-978a-582e851a0e13')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      <script>\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-03b40f1a-e0c3-4c8e-978a-582e851a0e13');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 141
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BobrdNCUdpLb",
        "outputId": "1b711360-0b1e-4fe9-ad03-ced55d7babbd"
      },
      "execution_count": 142,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 4194 entries, 0 to 4193\n",
            "Columns: 181 entries, Customers.id to Products.freight_cost\n",
            "dtypes: float64(98), int64(10), object(73)\n",
            "memory usage: 5.8+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()/len(df)*100\n",
        "#df.dropna(axis=1, how=\"all\", thresh=None, inplace=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "huUbHkiadpIu",
        "outputId": "60342ecf-400e-4183-ee96-f8e51523a0ae"
      },
      "execution_count": 143,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Customers.id                        0.000000\n",
              "Customers.fname                     0.000000\n",
              "Customers.lname                     0.000000\n",
              "Customers.company                  82.665713\n",
              "Customers.create_date               0.000000\n",
              "Customers.status                   97.591798\n",
              "Customers.mailing                  49.594659\n",
              "Customers.reminders               100.000000\n",
              "Customers.tax_exempt               99.880782\n",
              "Customers.account_id               99.928469\n",
              "Customers.sales_rep               100.000000\n",
              "Customers.rewards                 100.000000\n",
              "Customers.profile_id              100.000000\n",
              "Customers.last_modified             0.000000\n",
              "Customers.customer_type            10.085837\n",
              "Orders.id                           0.000000\n",
              "Orders.customer_id                  0.000000\n",
              "Orders.fname                        0.000000\n",
              "Orders.lname                        0.000000\n",
              "Orders.company                     82.641869\n",
              "Orders.order_number                 0.000000\n",
              "Orders.reorder_id                  98.044826\n",
              "Orders.external_source             91.297091\n",
              "Orders.external_id                 99.880782\n",
              "Orders.currency                     0.000000\n",
              "Orders.sales_rep                  100.000000\n",
              "Orders.subtotal                     0.000000\n",
              "Orders.tax                         10.896519\n",
              "Orders.shipping                     4.649499\n",
              "Orders.coupon_id                   78.969957\n",
              "Orders.coupon_amount               78.969957\n",
              "Orders.gift_id                    100.000000\n",
              "Orders.gift_amount                100.000000\n",
              "Orders.fee_name                    94.587506\n",
              "Orders.fee_amount                  93.371483\n",
              "Orders.discount_name               93.276109\n",
              "Orders.discount_amount             91.320935\n",
              "Orders.total                        0.000000\n",
              "Orders.balance_due                 91.630901\n",
              "Orders.shipping_carrier            14.711493\n",
              "Orders.shipping_method             10.562709\n",
              "Orders.shipping_trans             100.000000\n",
              "Orders.shipping_flags             100.000000\n",
              "Orders.weight                      99.928469\n",
              "Orders.tracking                     8.965188\n",
              "Orders.payment_status               0.119218\n",
              "Orders.payment_date                 0.429185\n",
              "Orders.payment_user                67.095851\n",
              "Orders.payment_type                 9.155937\n",
              "Orders.payment_method              82.784931\n",
              "Orders.payment_amount               0.429185\n",
              "Orders.purchase_order             100.000000\n",
              "Orders.payment_id                  10.252742\n",
              "Orders.payment_code                17.835002\n",
              "Orders.payment_ref                100.000000\n",
              "Orders.status                       0.000000\n",
              "Orders.placed_date                  0.000000\n",
              "Orders.updated_date                 0.548402\n",
              "Orders.shipped_date                 8.249881\n",
              "Orders.comments                    93.156891\n",
              "Orders.notes                       69.575584\n",
              "Orders.registry_id                100.000000\n",
              "Orders.gift_message               100.000000\n",
              "Orders.website                    100.000000\n",
              "Orders.mailing                    100.000000\n",
              "Orders.flags                       99.976156\n",
              "Orders.partial_ship                97.711016\n",
              "Orders.customer_type                4.363376\n",
              "Order_Items.id                      0.000000\n",
              "Order_Items.parent                  0.000000\n",
              "Order_Items.product_id              1.025274\n",
              "Order_Items.product_name            0.000000\n",
              "Order_Items.attributes            100.000000\n",
              "Order_Items.attribute_names        98.783977\n",
              "Order_Items.attribute_prices      100.000000\n",
              "Order_Items.qty                     0.000000\n",
              "Order_Items.price                   0.000000\n",
              "Order_Items.cost                    0.071531\n",
              "Order_Items.registry_item         100.000000\n",
              "Order_Items.related_id            100.000000\n",
              "Order_Items.reorder_frequency      99.427754\n",
              "Order_Items.account_id            100.000000\n",
              "Order_Items.flags                  75.965665\n",
              "Products.id                         3.743443\n",
              "Products.status                     3.743443\n",
              "Products.product_type             100.000000\n",
              "Products.template                   5.269433\n",
              "Products.vendor                     3.743443\n",
              "Products.import_id                  3.743443\n",
              "Products.name                       3.743443\n",
              "Products.display_name              12.684788\n",
              "Products.menu_name                100.000000\n",
              "Products.list_price                 4.220315\n",
              "Products.price                      3.767287\n",
              "Products.sale_price                72.341440\n",
              "Products.cost                       3.743443\n",
              "Products.flags                     28.779208\n",
              "Products.left_flag                 70.457797\n",
              "Products.right_flag               100.000000\n",
              "Products.last_modified              3.743443\n",
              "Products.taxable                   29.446829\n",
              "Products.shopping_gtin             25.369576\n",
              "Products.shopping_brand             3.862661\n",
              "Products.shopping_mpn               3.814974\n",
              "Products.shopping_gender           94.325227\n",
              "Products.shopping_color            59.465904\n",
              "Products.shopping_age              99.952313\n",
              "Products.shopping_flags             6.604673\n",
              "Products.amazon_asin               30.019075\n",
              "Products.amazon_type              100.000000\n",
              "Products.amazon_item_type           4.268002\n",
              "Products.amazon_price              85.884597\n",
              "Products.google_shopping_id         9.871245\n",
              "Products.google_shopping_type       5.126371\n",
              "Products.google_shopping_cat        4.363376\n",
              "Products.google_adwords           100.000000\n",
              "Products.shopping_cat              44.349070\n",
              "Products.shopping_type             44.349070\n",
              "Products.pricegrabber_cat          44.349070\n",
              "Products.shopzilla_cat             44.349070\n",
              "Products.thefind_cat               44.659037\n",
              "Products.quickbooks_id             11.111111\n",
              "Products.qb_edit_sequence          11.111111\n",
              "Products.price_break_type         100.000000\n",
              "Products.price_breaks             100.000000\n",
              "Products.short_description         28.111588\n",
              "Products.long_description           4.434907\n",
              "Products.websites                 100.000000\n",
              "Products.video                     83.881736\n",
              "Products.audio                    100.000000\n",
              "Products.seo_title                  4.363376\n",
              "Products.seo_description           86.528374\n",
              "Products.seo_keywords              72.389127\n",
              "Products.seo_header                99.785408\n",
              "Products.seo_footer               100.000000\n",
              "Products.seo_url                    3.743443\n",
              "Products.seo_category              32.355746\n",
              "Products.unit                       4.983309\n",
              "Products.packaging                 31.092036\n",
              "Products.display_packaging         99.618503\n",
              "Products.multiple                  29.327611\n",
              "Products.length                    76.204101\n",
              "Products.width                     76.251788\n",
              "Products.height                    76.251788\n",
              "Products.rx                        84.859323\n",
              "Products.latex                     53.767287\n",
              "Products.upc                       49.284692\n",
              "Products.msds_link                 85.169289\n",
              "Products.msds_label                84.453982\n",
              "Products.lit_link                  67.572723\n",
              "Products.lit_label                 67.644254\n",
              "Products.hcpcs                     21.602289\n",
              "Products.case_qty                  37.100620\n",
              "Products.markup                   100.000000\n",
              "Products.override_markup           30.376729\n",
              "Products.notes                     89.365761\n",
              "Products.import_flags              33.571769\n",
              "Products.map_price                 97.091082\n",
              "Products.features_title            99.952313\n",
              "Products.warranty                  84.191702\n",
              "Products.hygienic                  50.405341\n",
              "Products.default_quantity         100.000000\n",
              "Products.user_size                 85.312351\n",
              "Products.assembly                  85.312351\n",
              "Products.installation              85.312351\n",
              "Products.shipping_length            4.673343\n",
              "Products.shipping_width             4.673343\n",
              "Products.shipping_height            4.673343\n",
              "Products.shipping_weight           84.287077\n",
              "Products.handling_time             76.204101\n",
              "Products.rotation_link             95.231283\n",
              "Products.google_shopping_label     90.772532\n",
              "Products.product_option            92.536958\n",
              "Products.size                      65.593705\n",
              "Products.material                  80.877444\n",
              "Products.arm_style                 96.304244\n",
              "Products.leg_style                100.000000\n",
              "Products.seat_size                 96.137339\n",
              "Products.family_id                  7.749165\n",
              "Products.saved_status               6.294707\n",
              "Products.freight_cost             100.000000\n",
              "dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 143
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#deleting columns with nan values of above 20 percent.\n",
        "\n",
        "for i in df.columns:\n",
        "  if (df[i].isnull().sum()/len(df)*100 >= 20) :\n",
        "   df.drop(i,axis=1,inplace=True)\n",
        "df.shape    "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fJISYZZDjIwJ",
        "outputId": "6b46ade6-bbdd-4fab-8a36-82263ef166f4"
      },
      "execution_count": 144,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4194, 66)"
            ]
          },
          "metadata": {},
          "execution_count": 144
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qFjw8Vnrdo_q",
        "outputId": "1c5202c1-e4fd-4594-951f-dc84b6311100"
      },
      "execution_count": 145,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Customers.id', 'Customers.fname', 'Customers.lname',\n",
              "       'Customers.create_date', 'Customers.last_modified',\n",
              "       'Customers.customer_type', 'Orders.id', 'Orders.customer_id',\n",
              "       'Orders.fname', 'Orders.lname', 'Orders.order_number',\n",
              "       'Orders.currency', 'Orders.subtotal', 'Orders.tax', 'Orders.shipping',\n",
              "       'Orders.total', 'Orders.shipping_carrier', 'Orders.shipping_method',\n",
              "       'Orders.tracking', 'Orders.payment_status', 'Orders.payment_date',\n",
              "       'Orders.payment_type', 'Orders.payment_amount', 'Orders.payment_id',\n",
              "       'Orders.payment_code', 'Orders.status', 'Orders.placed_date',\n",
              "       'Orders.updated_date', 'Orders.shipped_date', 'Orders.customer_type',\n",
              "       'Order_Items.id', 'Order_Items.parent', 'Order_Items.product_id',\n",
              "       'Order_Items.product_name', 'Order_Items.qty', 'Order_Items.price',\n",
              "       'Order_Items.cost', 'Products.id', 'Products.status',\n",
              "       'Products.template', 'Products.vendor', 'Products.import_id',\n",
              "       'Products.name', 'Products.display_name', 'Products.list_price',\n",
              "       'Products.price', 'Products.cost', 'Products.last_modified',\n",
              "       'Products.shopping_brand', 'Products.shopping_mpn',\n",
              "       'Products.shopping_flags', 'Products.amazon_item_type',\n",
              "       'Products.google_shopping_id', 'Products.google_shopping_type',\n",
              "       'Products.google_shopping_cat', 'Products.quickbooks_id',\n",
              "       'Products.qb_edit_sequence', 'Products.long_description',\n",
              "       'Products.seo_title', 'Products.seo_url', 'Products.unit',\n",
              "       'Products.shipping_length', 'Products.shipping_width',\n",
              "       'Products.shipping_height', 'Products.family_id',\n",
              "       'Products.saved_status'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 145
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "abs(df.corr()['Orders.total']).sort_values(ascending=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "G2OJKNNpDjmT",
        "outputId": "c41ed067-ded4-4bf5-b7f0-b418f4dd8c7e"
      },
      "execution_count": 146,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Orders.total                 1.000000\n",
              "Orders.subtotal              0.997013\n",
              "Orders.payment_amount        0.992953\n",
              "Order_Items.price            0.428587\n",
              "Order_Items.cost             0.425841\n",
              "Products.cost                0.422208\n",
              "Products.price               0.412019\n",
              "Order_Items.qty              0.384124\n",
              "Products.list_price          0.380704\n",
              "Orders.tax                   0.199910\n",
              "Products.shipping_width      0.177553\n",
              "Orders.shipping              0.176824\n",
              "Products.shipping_length     0.162235\n",
              "Orders.status                0.077309\n",
              "Products.shipping_height     0.075501\n",
              "Orders.payment_status        0.074068\n",
              "Products.import_id           0.070752\n",
              "Products.status              0.069803\n",
              "Products.saved_status        0.067432\n",
              "Products.last_modified       0.060751\n",
              "Customers.id                 0.037907\n",
              "Orders.customer_id           0.037907\n",
              "Products.qb_edit_sequence    0.033725\n",
              "Products.id                  0.033032\n",
              "Order_Items.product_id       0.031029\n",
              "Customers.last_modified      0.030624\n",
              "Products.shopping_flags      0.026731\n",
              "Customers.create_date        0.016653\n",
              "Orders.updated_date          0.016127\n",
              "Orders.placed_date           0.015483\n",
              "Orders.payment_date          0.011824\n",
              "Products.vendor              0.011719\n",
              "Orders.customer_type         0.011299\n",
              "Orders.shipped_date          0.007774\n",
              "Order_Items.id               0.004608\n",
              "Order_Items.parent           0.004189\n",
              "Orders.id                    0.004189\n",
              "Customers.customer_type      0.001774\n",
              "Name: Orders.total, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 146
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4n6Sy2_dDjoy",
        "outputId": "a00d615f-163a-47b1-a739-a7fe5867984e"
      },
      "execution_count": 147,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Customers.id                       0\n",
              "Customers.fname                    0\n",
              "Customers.lname                    0\n",
              "Customers.create_date              0\n",
              "Customers.last_modified            0\n",
              "Customers.customer_type          423\n",
              "Orders.id                          0\n",
              "Orders.customer_id                 0\n",
              "Orders.fname                       0\n",
              "Orders.lname                       0\n",
              "Orders.order_number                0\n",
              "Orders.currency                    0\n",
              "Orders.subtotal                    0\n",
              "Orders.tax                       457\n",
              "Orders.shipping                  195\n",
              "Orders.total                       0\n",
              "Orders.shipping_carrier          617\n",
              "Orders.shipping_method           443\n",
              "Orders.tracking                  376\n",
              "Orders.payment_status              5\n",
              "Orders.payment_date               18\n",
              "Orders.payment_type              384\n",
              "Orders.payment_amount             18\n",
              "Orders.payment_id                430\n",
              "Orders.payment_code              748\n",
              "Orders.status                      0\n",
              "Orders.placed_date                 0\n",
              "Orders.updated_date               23\n",
              "Orders.shipped_date              346\n",
              "Orders.customer_type             183\n",
              "Order_Items.id                     0\n",
              "Order_Items.parent                 0\n",
              "Order_Items.product_id            43\n",
              "Order_Items.product_name           0\n",
              "Order_Items.qty                    0\n",
              "Order_Items.price                  0\n",
              "Order_Items.cost                   3\n",
              "Products.id                      157\n",
              "Products.status                  157\n",
              "Products.template                221\n",
              "Products.vendor                  157\n",
              "Products.import_id               157\n",
              "Products.name                    157\n",
              "Products.display_name            532\n",
              "Products.list_price              177\n",
              "Products.price                   158\n",
              "Products.cost                    157\n",
              "Products.last_modified           157\n",
              "Products.shopping_brand          162\n",
              "Products.shopping_mpn            160\n",
              "Products.shopping_flags          277\n",
              "Products.amazon_item_type        179\n",
              "Products.google_shopping_id      414\n",
              "Products.google_shopping_type    215\n",
              "Products.google_shopping_cat     183\n",
              "Products.quickbooks_id           466\n",
              "Products.qb_edit_sequence        466\n",
              "Products.long_description        186\n",
              "Products.seo_title               183\n",
              "Products.seo_url                 157\n",
              "Products.unit                    209\n",
              "Products.shipping_length         196\n",
              "Products.shipping_width          196\n",
              "Products.shipping_height         196\n",
              "Products.family_id               325\n",
              "Products.saved_status            264\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 147
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "*HANDLE MISSING VALUES*"
      ],
      "metadata": {
        "id": "su6WpnWwK_Xe"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "for i in df.select_dtypes(include=np.object):\n",
        "    df[i].fillna(df[i].value_counts().sort_values(ascending=False).index[0],inplace=True)"
      ],
      "metadata": {
        "id": "NWLhbMAlDjsI"
      },
      "execution_count": 148,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for i in df.select_dtypes(include=np.number):\n",
        "    df[i].fillna(df[i].mean(),inplace=True)"
      ],
      "metadata": {
        "id": "zCYXP37kGz2c"
      },
      "execution_count": 149,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ie3tVcpzHDGF",
        "outputId": "58f7947b-a05d-4f7d-8401-0a69149a5501"
      },
      "execution_count": 150,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Customers.id                     0\n",
              "Customers.fname                  0\n",
              "Customers.lname                  0\n",
              "Customers.create_date            0\n",
              "Customers.last_modified          0\n",
              "Customers.customer_type          0\n",
              "Orders.id                        0\n",
              "Orders.customer_id               0\n",
              "Orders.fname                     0\n",
              "Orders.lname                     0\n",
              "Orders.order_number              0\n",
              "Orders.currency                  0\n",
              "Orders.subtotal                  0\n",
              "Orders.tax                       0\n",
              "Orders.shipping                  0\n",
              "Orders.total                     0\n",
              "Orders.shipping_carrier          0\n",
              "Orders.shipping_method           0\n",
              "Orders.tracking                  0\n",
              "Orders.payment_status            0\n",
              "Orders.payment_date              0\n",
              "Orders.payment_type              0\n",
              "Orders.payment_amount            0\n",
              "Orders.payment_id                0\n",
              "Orders.payment_code              0\n",
              "Orders.status                    0\n",
              "Orders.placed_date               0\n",
              "Orders.updated_date              0\n",
              "Orders.shipped_date              0\n",
              "Orders.customer_type             0\n",
              "Order_Items.id                   0\n",
              "Order_Items.parent               0\n",
              "Order_Items.product_id           0\n",
              "Order_Items.product_name         0\n",
              "Order_Items.qty                  0\n",
              "Order_Items.price                0\n",
              "Order_Items.cost                 0\n",
              "Products.id                      0\n",
              "Products.status                  0\n",
              "Products.template                0\n",
              "Products.vendor                  0\n",
              "Products.import_id               0\n",
              "Products.name                    0\n",
              "Products.display_name            0\n",
              "Products.list_price              0\n",
              "Products.price                   0\n",
              "Products.cost                    0\n",
              "Products.last_modified           0\n",
              "Products.shopping_brand          0\n",
              "Products.shopping_mpn            0\n",
              "Products.shopping_flags          0\n",
              "Products.amazon_item_type        0\n",
              "Products.google_shopping_id      0\n",
              "Products.google_shopping_type    0\n",
              "Products.google_shopping_cat     0\n",
              "Products.quickbooks_id           0\n",
              "Products.qb_edit_sequence        0\n",
              "Products.long_description        0\n",
              "Products.seo_title               0\n",
              "Products.seo_url                 0\n",
              "Products.unit                    0\n",
              "Products.shipping_length         0\n",
              "Products.shipping_width          0\n",
              "Products.shipping_height         0\n",
              "Products.family_id               0\n",
              "Products.saved_status            0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 150
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.to_csv(\"df.csv\")"
      ],
      "metadata": {
        "id": "mnQZDja8O-7g"
      },
      "execution_count": 151,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "*CREATE FRAMES TO SQL CONNECTION*"
      ],
      "metadata": {
        "id": "5hb9zN94O2Tt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Customer = pd.DataFrame(df, columns= ['Customers.id', 'Customers.fname', 'Customers.lname',\n",
        "       'Customers.create_date', 'Customers.last_modified',\n",
        "       'Customers.customer_type'])"
      ],
      "metadata": {
        "id": "FBUE5VhPOjdZ"
      },
      "execution_count": 152,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Orders=pd.DataFrame(df, columns= ['Orders.id', 'Orders.customer_id',\n",
        "       'Orders.fname', 'Orders.lname', 'Orders.order_number',\n",
        "       'Orders.currency', 'Orders.subtotal', 'Orders.tax', 'Orders.shipping',\n",
        "       'Orders.total', 'Orders.shipping_carrier', 'Orders.shipping_method',\n",
        "       'Orders.tracking', 'Orders.payment_status', 'Orders.payment_date',\n",
        "       'Orders.payment_type', 'Orders.payment_amount', 'Orders.payment_id',\n",
        "       'Orders.payment_code', 'Orders.status', 'Orders.placed_date',\n",
        "       'Orders.updated_date', 'Orders.shipped_date', 'Orders.customer_type',\n",
        "       'Order_Items.id', 'Order_Items.parent', 'Order_Items.product_id',\n",
        "       'Order_Items.product_name', 'Order_Items.qty', 'Order_Items.price',\n",
        "       'Order_Items.cost'])"
      ],
      "metadata": {
        "id": "9ptu3IRfOuPd"
      },
      "execution_count": 153,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Products=pd.DataFrame(df, columns= ['Products.id', 'Products.status',\n",
        "       'Products.template', 'Products.vendor', 'Products.import_id',\n",
        "       'Products.name', 'Products.display_name', 'Products.list_price',\n",
        "       'Products.price', 'Products.cost', 'Products.last_modified',\n",
        "       'Products.shopping_brand', 'Products.shopping_mpn',\n",
        "       'Products.shopping_flags', 'Products.amazon_item_type',\n",
        "       'Products.google_shopping_id', 'Products.google_shopping_type',\n",
        "       'Products.google_shopping_cat', 'Products.quickbooks_id',\n",
        "       'Products.qb_edit_sequence', 'Products.long_description',\n",
        "       'Products.seo_title', 'Products.seo_url', 'Products.unit',\n",
        "       'Products.shipping_length', 'Products.shipping_width',\n",
        "       'Products.shipping_height', 'Products.family_id',\n",
        "       'Products.saved_status'])"
      ],
      "metadata": {
        "id": "K-7XI_vyOuT9"
      },
      "execution_count": 154,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#pip install pypyodbc"
      ],
      "metadata": {
        "id": "srVkWuRgOapa"
      },
      "execution_count": 155,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#import pypyodbc\n",
        "#db = pypyodbc.connect(\n",
        "#   'Driver={SQL Server};'\n",
        "#   'Server=serveradi;'\n",
        "#   'Database=veritabaniadi;'\n",
        "#   'UID=kullaniciadi;'\n",
        "#  'PWD=parola;')\n",
        "#imlec = db.cursor()\n",
        "#imlec.execute('SELECT * FROM Kisiler')\n",
        "#kullanicilar = imlec.fetchall()"
      ],
      "metadata": {
        "id": "RVkBrJbcOVYV"
      },
      "execution_count": 156,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "*MODELING*"
      ],
      "metadata": {
        "id": "hdL9kZp1LKwR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "x=pd.get_dummies(df,drop_first=True)"
      ],
      "metadata": {
        "id": "hK8_Xd-VHDI1"
      },
      "execution_count": 157,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "allscore=[]\n",
        "allclusters=[]\n",
        "sum_of_squared_distances=[]\n",
        "def clust (clusters): \n",
        "    for no_of_cluster in np.arange(1,clusters):\n",
        "        no_of_cluster+=1\n",
        "        model=KMeans(n_clusters = no_of_cluster)\n",
        "        model=model.fit(x)\n",
        "        pred=model.fit_predict(x)\n",
        "        sum_of_squared_distances.append(model.inertia_)\n",
        "        score = silhouette_score(x,pred)\n",
        "        print(\"Number of cluster {},silhouette{}\".format(no_of_cluster,score))\n",
        "        allscore.append(score)\n",
        "        allclusters.append(no_of_cluster)\n",
        "clust(9)"
      ],
      "metadata": {
        "id": "d0qeJNEcHDLm",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c74a582f-7915-44d3-92a5-8ec25649a65b"
      },
      "execution_count": 158,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Number of cluster 2,silhouette0.6285252292108289\n",
            "Number of cluster 3,silhouette0.5633842460114444\n",
            "Number of cluster 4,silhouette0.492958468982986\n",
            "Number of cluster 5,silhouette0.48384390448359194\n",
            "Number of cluster 6,silhouette0.5024961968628124\n",
            "Number of cluster 7,silhouette0.4619750347937617\n",
            "Number of cluster 8,silhouette0.5080581480994538\n",
            "Number of cluster 9,silhouette0.5006751435704498\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot(allclusters,sum_of_squared_distances,marker='x')\n",
        "plt.xlabel('k')\n",
        "plt.ylabel('Distortion')\n",
        "plt.title('The Elbow Method showing optimal K')\n",
        "plt.show() "
      ],
      "metadata": {
        "id": "LVD8jDFeHLqF",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "outputId": "e1946d87-57df-4ccb-bb23-b1fbbfb4a062"
      },
      "execution_count": 159,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from yellowbrick.cluster import KElbowVisualizer"
      ],
      "metadata": {
        "id": "ZHjW8rUPHLtV"
      },
      "execution_count": 160,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "kmeans = KMeans()\n",
        "visu = KElbowVisualizer(kmeans, k = (2,10))\n",
        "visu.fit(x)\n",
        "visu.poof()"
      ],
      "metadata": {
        "id": "D7DunMpUHLy3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 311
        },
        "outputId": "8569c412-2832-46fb-88c8-7397698b9265"
      },
      "execution_count": 161,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f3533fec400>"
            ]
          },
          "metadata": {},
          "execution_count": 161
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model=KMeans(n_clusters=4)"
      ],
      "metadata": {
        "id": "gnP9feXiHL1G"
      },
      "execution_count": 162,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model=model.fit(x)"
      ],
      "metadata": {
        "id": "b7-_gp5qHU1Y"
      },
      "execution_count": 163,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pred=model.predict(x)\n",
        "pred"
      ],
      "metadata": {
        "id": "_i_sL_KpHU4H",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c5784020-ff36-45e2-fe11-81dfc43716a5"
      },
      "execution_count": 164,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 3, 1, ..., 0, 0, 0], dtype=int32)"
            ]
          },
          "metadata": {},
          "execution_count": 164
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x['cluster']=pred"
      ],
      "metadata": {
        "id": "rxugMAh8HU8l"
      },
      "execution_count": 165,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "silhouette_score(x,pred)"
      ],
      "metadata": {
        "id": "4qE7CKNSHU-w",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7ac6be5d-1a0f-436b-b8e1-c91d53463d92"
      },
      "execution_count": 166,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.4923029268946749"
            ]
          },
          "metadata": {},
          "execution_count": 166
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df2 = df.filter(['Customers.id','Customers.fname','Customers.lname'], axis=1)\n",
        "df2['Cluster']=pred"
      ],
      "metadata": {
        "id": "nbaJS-MAHg0p"
      },
      "execution_count": 167,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10,5))\n",
        "sns.scatterplot(x[\"Orders.total\"], \n",
        "                x['Customers.id'], hue= x.cluster,palette= \"viridis\");"
      ],
      "metadata": {
        "id": "XOhIdY1QHg3W",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 334
        },
        "outputId": "f1c83c13-f5da-48a4-8a73-66d9e5598a5b"
      },
      "execution_count": 168,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df2[\"Cluster\"].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Oripj5gfP6WF",
        "outputId": "501da555-a54d-4e4f-f7b9-2257954013f3"
      },
      "execution_count": 169,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    1825\n",
              "1     974\n",
              "2     903\n",
              "3     492\n",
              "Name: Cluster, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 169
        }
      ]
    }
  ]
}