05_01_Projet2_Analyse_Exploratoire_des_Ventes_de_Supermarché.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "XYwle72reSRn"
   },
   "source": [
    "# Analyse Exploratoire des Ventes d'une Chaine de vente d'electroniques "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "gPYX81VDeY4i"
   },
   "source": [
    "Nous avons dans le dossier datasets/SalesAnalysis des données de ventes d'une entreprise sur l'année 2019. Vous avez un fichier csv par mois.\n",
    "\n",
    "Chaque fichier contient les colonnes suivantes:\n",
    "* OrderID: l'identifiant unique de la commande\n",
    "* Product: La désignation du produit\n",
    "* Quantity Ordered: la quantité vendue\n",
    "* Price each: le prix unitaire\n",
    "* order date : La date d'achat\n",
    "* Purchase adress: l'adresse de la boutique de vente\n",
    "\n",
    "Nous allons analyser ces données pour répondre aux questions suivantes:\n",
    "\n",
    "* Quel est le meilleur mois de vente ? et Quel est le chiffre d'affaires de ce mois ?\n",
    "* Dans quelle ville a-t-on le plus vendu de produits ?\n",
    "* A quelle heure devons-nous passer de la publicité pour augmenter nos ventes ?\n",
    "* Quels sont les produits qui sont souvent achetés ensemble ?\n",
    "* Quel produit a-t-on le plus vendu et pourquoi ?\n",
    "\n",
    "Nous allons accompagner nos solutions de visualisations pertinentes afin d'aider le business à améliorer ses chiffres de l'année suivante.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "GGdbaOQtekFB"
   },
   "source": [
    "## Importer les données"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Tw5oA5KZewgK"
   },
   "source": [
    "Essayons de Monter notre google drive"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "blYxjRZrfydE"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "fXmY3Mdzev82"
   },
   "outputs": [],
   "source": [
    "data = \"datasets/SalesAnalysis/Sales_Data/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "dJXULfJofHQy",
    "outputId": "1c1ebcbf-68b8-4594-f69a-89f8f3da12cb"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Sales_July_2019.csv',\n",
       " 'Sales_February_2019.csv',\n",
       " 'Sales_August_2019.csv',\n",
       " 'Sales_October_2019.csv',\n",
       " 'Sales_November_2019.csv',\n",
       " 'Sales_December_2019.csv',\n",
       " 'Sales_January_2019.csv',\n",
       " 'Sales_March_2019.csv',\n",
       " 'Sales_June_2019.csv',\n",
       " 'Sales_May_2019.csv',\n",
       " 'Sales_September_2019.csv',\n",
       " 'Sales_April_2019.csv']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.listdir(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yX-Yugqrfqcq"
   },
   "source": [
    "Jetons un coup d'oeil à la data d'un mois, celui de Janvier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "fLkn7VToe3ia"
   },
   "outputs": [],
   "source": [
    "janvier_sales = pd.read_csv(data + \"Sales_January_2019.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 306
    },
    "id": "96S2v2FFdd19",
    "outputId": "99f9a7fa-3307-4863-e04c-390cfef68a8a"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>141234</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700</td>\n",
       "      <td>01/22/19 21:25</td>\n",
       "      <td>944 Walnut St, Boston, MA 02215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>141235</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>01/28/19 14:15</td>\n",
       "      <td>185 Maple St, Portland, OR 97035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>141236</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>2</td>\n",
       "      <td>11.99</td>\n",
       "      <td>01/17/19 13:33</td>\n",
       "      <td>538 Adams St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>141237</td>\n",
       "      <td>27in FHD Monitor</td>\n",
       "      <td>1</td>\n",
       "      <td>149.99</td>\n",
       "      <td>01/05/19 20:33</td>\n",
       "      <td>738 10th St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>141238</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>01/25/19 11:59</td>\n",
       "      <td>387 10th St, Austin, TX 73301</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                   Product Quantity Ordered Price Each  \\\n",
       "0   141234                    iPhone                1        700   \n",
       "1   141235  Lightning Charging Cable                1      14.95   \n",
       "2   141236          Wired Headphones                2      11.99   \n",
       "3   141237          27in FHD Monitor                1     149.99   \n",
       "4   141238          Wired Headphones                1      11.99   \n",
       "\n",
       "       Order Date                       Purchase Address  \n",
       "0  01/22/19 21:25        944 Walnut St, Boston, MA 02215  \n",
       "1  01/28/19 14:15       185 Maple St, Portland, OR 97035  \n",
       "2  01/17/19 13:33  538 Adams St, San Francisco, CA 94016  \n",
       "3  01/05/19 20:33     738 10th St, Los Angeles, CA 90001  \n",
       "4  01/25/19 11:59          387 10th St, Austin, TX 73301  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "janvier_sales.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 171
    },
    "id": "Hz6YGdVEgHPE",
    "outputId": "d9a1d4d2-d25d-4456-fddd-00187ff351a0"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
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       "      <th>count</th>\n",
       "      <td>9697</td>\n",
       "      <td>9697</td>\n",
       "      <td>9697</td>\n",
       "      <td>9697</td>\n",
       "      <td>9697</td>\n",
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       "    <tr>\n",
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       "      <td>9269</td>\n",
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       "      <td>8</td>\n",
       "      <td>19</td>\n",
       "      <td>8077</td>\n",
       "      <td>9161</td>\n",
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       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
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       "      <td>16</td>\n",
       "      <td>1171</td>\n",
       "      <td>8795</td>\n",
       "      <td>1171</td>\n",
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      "text/plain": [
       "        Order ID               Product Quantity Ordered Price Each  \\\n",
       "count       9697                  9697             9697       9697   \n",
       "unique      9269                    20                8         19   \n",
       "top     Order ID  USB-C Charging Cable                1      11.95   \n",
       "freq          16                  1171             8795       1171   \n",
       "\n",
       "        Order Date  Purchase Address  \n",
       "count         9697              9697  \n",
       "unique        8077              9161  \n",
       "top     Order Date  Purchase Address  \n",
       "freq            16                16  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "janvier_sales.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "jvzKWuGxiYra",
    "outputId": "c34f49f1-5b4e-402c-c215-72eddeb7a7f0"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Order ID', 'Product', 'Quantity Ordered', 'Price Each', 'Order Date',\n",
       "       'Purchase Address'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "janvier_sales.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "oSbrxou7gHWg",
    "outputId": "d9f78409-23f4-4439-9d49-de472ea44700"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 9723 entries, 0 to 9722\n",
      "Data columns (total 6 columns):\n",
      "Order ID            9697 non-null object\n",
      "Product             9697 non-null object\n",
      "Quantity Ordered    9697 non-null object\n",
      "Price Each          9697 non-null object\n",
      "Order Date          9697 non-null object\n",
      "Purchase Address    9697 non-null object\n",
      "dtypes: object(6)\n",
      "memory usage: 455.8+ KB\n"
     ]
    }
   ],
   "source": [
    "janvier_sales.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "wbll9Yosjxyg"
   },
   "source": [
    "## Merger la data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "6kr0FdYzkPBA",
    "outputId": "3bd2edbe-33eb-4010-9f61-04f350667219"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Sales_July_2019.csv',\n",
       " 'Sales_February_2019.csv',\n",
       " 'Sales_August_2019.csv',\n",
       " 'Sales_October_2019.csv',\n",
       " 'Sales_November_2019.csv',\n",
       " 'Sales_December_2019.csv',\n",
       " 'Sales_January_2019.csv',\n",
       " 'Sales_March_2019.csv',\n",
       " 'Sales_June_2019.csv',\n",
       " 'Sales_May_2019.csv',\n",
       " 'Sales_September_2019.csv',\n",
       " 'Sales_April_2019.csv']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "files = [fichier for fichier in os.listdir(data) if fichier.endswith('.csv')]\n",
    "files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "PVKxuTA8h6q0"
   },
   "outputs": [],
   "source": [
    "df = pd.DataFrame()\n",
    "\n",
    "for file in files:\n",
    "  data_interm = pd.read_csv(data + file)\n",
    "  df = pd.concat([df, data_interm])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "nA6L0juelANH",
    "outputId": "11120b3c-e49f-4560-8cdb-384131694515"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(186850, 6)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 171
    },
    "id": "XaFtzwx0lDHn",
    "outputId": "6e44d80b-be36-4565-d325-aa718042a0ab"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
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       "  </thead>\n",
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       "      <th>count</th>\n",
       "      <td>186305</td>\n",
       "      <td>186305</td>\n",
       "      <td>186305</td>\n",
       "      <td>186305</td>\n",
       "      <td>186305</td>\n",
       "      <td>186305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>178438</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>24</td>\n",
       "      <td>142396</td>\n",
       "      <td>140788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>355</td>\n",
       "      <td>21903</td>\n",
       "      <td>168552</td>\n",
       "      <td>21903</td>\n",
       "      <td>355</td>\n",
       "      <td>355</td>\n",
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      ],
      "text/plain": [
       "        Order ID               Product Quantity Ordered Price Each  \\\n",
       "count     186305                186305           186305     186305   \n",
       "unique    178438                    20               10         24   \n",
       "top     Order ID  USB-C Charging Cable                1      11.95   \n",
       "freq         355                 21903           168552      21903   \n",
       "\n",
       "        Order Date  Purchase Address  \n",
       "count       186305            186305  \n",
       "unique      142396            140788  \n",
       "top     Order Date  Purchase Address  \n",
       "freq           355               355  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ABNjpFp3lG5U",
    "outputId": "cd80845c-dc17-4edb-a8a3-cdf33dc265e8"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 186850 entries, 0 to 18382\n",
      "Data columns (total 6 columns):\n",
      "Order ID            186305 non-null object\n",
      "Product             186305 non-null object\n",
      "Quantity Ordered    186305 non-null object\n",
      "Price Each          186305 non-null object\n",
      "Order Date          186305 non-null object\n",
      "Purchase Address    186305 non-null object\n",
      "dtypes: object(6)\n",
      "memory usage: 10.0+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "OvpB00aOlWk0"
   },
   "source": [
    "## Nettoyage de la data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "HCNpplZklL9V",
    "outputId": "07b81d67-6a2e-49f7-af4f-61efcb0628d4"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Order ID            545\n",
       "Product             545\n",
       "Quantity Ordered    545\n",
       "Price Each          545\n",
       "Order Date          545\n",
       "Purchase Address    545\n",
       "dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum(axis=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "nTAaBOZxlwSW"
   },
   "source": [
    "Affichon un df avec toutes les lignes qui ont au moins une valeur manquante"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 415
    },
    "id": "k_giM40ulj9r",
    "outputId": "6abf7428-67a6-4638-f238-ca4c93b6a791"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <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>315</th>\n",
       "      <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>599</th>\n",
       "      <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>675</th>\n",
       "      <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>1027</th>\n",
       "      <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>1666</th>\n",
       "      <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>2016</th>\n",
       "      <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>2208</th>\n",
       "      <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>2390</th>\n",
       "      <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>2631</th>\n",
       "      <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>3068</th>\n",
       "      <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>3078</th>\n",
       "      <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>3494</th>\n",
       "      <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>3647</th>\n",
       "      <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>3672</th>\n",
       "      <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>4177</th>\n",
       "      <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>4611</th>\n",
       "      <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>4756</th>\n",
       "      <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>4999</th>\n",
       "      <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>5657</th>\n",
       "      <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>5983</th>\n",
       "      <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>6132</th>\n",
       "      <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>6243</th>\n",
       "      <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>6268</th>\n",
       "      <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>6365</th>\n",
       "      <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>6661</th>\n",
       "      <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>6777</th>\n",
       "      <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>6989</th>\n",
       "      <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>7539</th>\n",
       "      <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>7836</th>\n",
       "      <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>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9642</th>\n",
       "      <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>9699</th>\n",
       "      <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>9714</th>\n",
       "      <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>9928</th>\n",
       "      <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>10252</th>\n",
       "      <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>10699</th>\n",
       "      <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>11278</th>\n",
       "      <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>11442</th>\n",
       "      <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>11540</th>\n",
       "      <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>11746</th>\n",
       "      <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>11881</th>\n",
       "      <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>12116</th>\n",
       "      <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>12639</th>\n",
       "      <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>12805</th>\n",
       "      <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>12883</th>\n",
       "      <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>13000</th>\n",
       "      <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>13110</th>\n",
       "      <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>13556</th>\n",
       "      <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>13627</th>\n",
       "      <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>14115</th>\n",
       "      <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>14416</th>\n",
       "      <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>15041</th>\n",
       "      <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>15934</th>\n",
       "      <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>16700</th>\n",
       "      <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>16727</th>\n",
       "      <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>16763</th>\n",
       "      <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>16912</th>\n",
       "      <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>17060</th>\n",
       "      <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>17446</th>\n",
       "      <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>17718</th>\n",
       "      <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",
       "<p>545 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Order ID Product Quantity Ordered Price Each Order Date Purchase Address\n",
       "199        NaN     NaN              NaN        NaN        NaN              NaN\n",
       "315        NaN     NaN              NaN        NaN        NaN              NaN\n",
       "599        NaN     NaN              NaN        NaN        NaN              NaN\n",
       "675        NaN     NaN              NaN        NaN        NaN              NaN\n",
       "1027       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "1666       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "2016       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "2208       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "2390       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "2631       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "3068       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "3078       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "3494       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "3647       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "3672       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "4177       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "4611       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "4756       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "4999       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "5657       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "5983       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "6132       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "6243       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "6268       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "6365       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "6661       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "6777       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "6989       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "7539       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "7836       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "...        ...     ...              ...        ...        ...              ...\n",
       "9642       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "9699       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "9714       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "9928       NaN     NaN              NaN        NaN        NaN              NaN\n",
       "10252      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "10699      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "11278      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "11442      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "11540      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "11746      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "11881      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "12116      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "12639      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "12805      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "12883      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "13000      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "13110      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "13556      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "13627      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "14115      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "14416      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "15041      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "15934      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "16700      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "16727      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "16763      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "16912      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "17060      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "17446      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "17718      NaN     NaN              NaN        NaN        NaN              NaN\n",
       "\n",
       "[545 rows x 6 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val_manquantes = df[df.isnull().any(axis=1)]\n",
    "val_manquantes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "kLCZ_3Yyme83"
   },
   "source": [
    "Est-ce que toutes les lignes n'ont que des valeurs manquantes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "kVObj-g4mTSX",
    "outputId": "0a0f261f-1791-45d1-8f30-6ee3fc2112f6"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Order ID            True\n",
       "Product             True\n",
       "Quantity Ordered    True\n",
       "Price Each          True\n",
       "Order Date          True\n",
       "Purchase Address    True\n",
       "dtype: bool"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val_manquantes.isnull().all()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "uwXzqNsgnJci"
   },
   "source": [
    "Supprimer toutes les lignes avec des valeurs manquantes: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "zCgsylZVn04N",
    "outputId": "426c9641-2a01-4f5f-db71-20aab7addb13"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(186850, 6)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "id": "HMklY3wvmrs7"
   },
   "outputs": [],
   "source": [
    "df.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "FqLd2EdHn22X",
    "outputId": "2de04adf-d480-45ac-c690-bdc6aa95141a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(186305, 6)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "KvW88iuFn4EJ",
    "outputId": "49f645b9-52df-43c3-a447-a197a2f1f658"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Order ID            False\n",
       "Product             False\n",
       "Quantity Ordered    False\n",
       "Price Each          False\n",
       "Order Date          False\n",
       "Purchase Address    False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 171
    },
    "id": "J_7aimkjoByd",
    "outputId": "59b455a9-4768-4039-8650-8e2feb4d8d93"
   },
   "outputs": [
    {
     "data": {
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       "        Order ID               Product Quantity Ordered Price Each  \\\n",
       "count     186305                186305           186305     186305   \n",
       "unique    178438                    20               10         24   \n",
       "top     Order ID  USB-C Charging Cable                1      11.95   \n",
       "freq         355                 21903           168552      21903   \n",
       "\n",
       "        Order Date  Purchase Address  \n",
       "count       186305            186305  \n",
       "unique      142396            140788  \n",
       "top     Order Date  Purchase Address  \n",
       "freq           355               355  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "fNl-DtczoNbF"
   },
   "source": [
    "Débarassons-nous des lignes avec des valeurs abérantes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 415
    },
    "id": "Z10JkeUcoFtQ",
    "outputId": "2241ccfe-6491-46d1-966b-01fd48e84a03"
   },
   "outputs": [
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       "    <tr>\n",
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       "    <tr>\n",
       "      <th>3618</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4138</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4645</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4794</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5303</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6939</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7497</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8635</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9189</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9329</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9973</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10885</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10958</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11272</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11619</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11742</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11778</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11874</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12455</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13362</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14022</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14522</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14860</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15280</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17208</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17324</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17339</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17744</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>355 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Order ID  Product  Quantity Ordered  Price Each  Order Date  \\\n",
       "775    Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "1391   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "1438   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "1624   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "1720   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "2579   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "2951   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "3447   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "3493   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "3513   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "3686   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "3833   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "4494   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "5070   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "5158   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "5165   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "5856   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "7213   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "7798   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "8128   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "8160   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "8250   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "8260   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "8279   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "8650   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "8707   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "9289   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "9452   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "9885   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "9959   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "...         ...      ...               ...         ...         ...   \n",
       "3036   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "3209   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "3618   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "4138   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "4645   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "4794   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "5303   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "6939   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "7497   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "8635   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "9189   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "9329   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "9973   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "10885  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "10958  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "11272  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "11619  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "11742  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "11778  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "11874  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "12455  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "13362  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "14022  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "14522  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "14860  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "15280  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "17208  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "17324  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "17339  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "17744  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "\n",
       "       Purchase Address  \n",
       "775    Purchase Address  \n",
       "1391   Purchase Address  \n",
       "1438   Purchase Address  \n",
       "1624   Purchase Address  \n",
       "1720   Purchase Address  \n",
       "2579   Purchase Address  \n",
       "2951   Purchase Address  \n",
       "3447   Purchase Address  \n",
       "3493   Purchase Address  \n",
       "3513   Purchase Address  \n",
       "3686   Purchase Address  \n",
       "3833   Purchase Address  \n",
       "4494   Purchase Address  \n",
       "5070   Purchase Address  \n",
       "5158   Purchase Address  \n",
       "5165   Purchase Address  \n",
       "5856   Purchase Address  \n",
       "7213   Purchase Address  \n",
       "7798   Purchase Address  \n",
       "8128   Purchase Address  \n",
       "8160   Purchase Address  \n",
       "8250   Purchase Address  \n",
       "8260   Purchase Address  \n",
       "8279   Purchase Address  \n",
       "8650   Purchase Address  \n",
       "8707   Purchase Address  \n",
       "9289   Purchase Address  \n",
       "9452   Purchase Address  \n",
       "9885   Purchase Address  \n",
       "9959   Purchase Address  \n",
       "...                 ...  \n",
       "3036   Purchase Address  \n",
       "3209   Purchase Address  \n",
       "3618   Purchase Address  \n",
       "4138   Purchase Address  \n",
       "4645   Purchase Address  \n",
       "4794   Purchase Address  \n",
       "5303   Purchase Address  \n",
       "6939   Purchase Address  \n",
       "7497   Purchase Address  \n",
       "8635   Purchase Address  \n",
       "9189   Purchase Address  \n",
       "9329   Purchase Address  \n",
       "9973   Purchase Address  \n",
       "10885  Purchase Address  \n",
       "10958  Purchase Address  \n",
       "11272  Purchase Address  \n",
       "11619  Purchase Address  \n",
       "11742  Purchase Address  \n",
       "11778  Purchase Address  \n",
       "11874  Purchase Address  \n",
       "12455  Purchase Address  \n",
       "13362  Purchase Address  \n",
       "14022  Purchase Address  \n",
       "14522  Purchase Address  \n",
       "14860  Purchase Address  \n",
       "15280  Purchase Address  \n",
       "17208  Purchase Address  \n",
       "17324  Purchase Address  \n",
       "17339  Purchase Address  \n",
       "17744  Purchase Address  \n",
       "\n",
       "[355 rows x 6 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Order Date'] == \"Order Date\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "h5lUogYvoqaX",
    "outputId": "cebbd13b-8776-409c-dd2a-b1f732c15ab0"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 31,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"1548\".isdigit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 415
    },
    "id": "xufeA7Iko31W",
    "outputId": "c37449a4-bdc2-49f6-936d-3ef016c54f95"
   },
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
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       "      <td>Order ID</td>\n",
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       "    <tr>\n",
       "      <th>1720</th>\n",
       "      <td>Order ID</td>\n",
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       "    <tr>\n",
       "      <th>2579</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2951</th>\n",
       "      <td>Order ID</td>\n",
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       "      <td>Order ID</td>\n",
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       "    <tr>\n",
       "      <th>3493</th>\n",
       "      <td>Order ID</td>\n",
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       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
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       "    <tr>\n",
       "      <th>3513</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3686</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3833</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4494</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5070</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5158</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5165</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5856</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7213</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7798</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8128</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8160</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8250</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8260</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8279</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8650</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8707</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9289</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9452</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9885</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9959</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3036</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3209</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3618</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4138</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4645</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4794</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5303</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6939</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7497</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8635</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9189</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9329</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9973</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10885</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10958</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11272</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11619</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11742</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11778</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11874</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12455</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13362</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14022</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14522</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14860</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15280</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17208</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17324</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17339</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17744</th>\n",
       "      <td>Order ID</td>\n",
       "      <td>Product</td>\n",
       "      <td>Quantity Ordered</td>\n",
       "      <td>Price Each</td>\n",
       "      <td>Order Date</td>\n",
       "      <td>Purchase Address</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>355 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Order ID  Product  Quantity Ordered  Price Each  Order Date  \\\n",
       "775    Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "1391   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "1438   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "1624   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "1720   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "2579   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "2951   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "3447   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "3493   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "3513   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "3686   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "3833   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "4494   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "5070   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "5158   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "5165   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "5856   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "7213   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "7798   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "8128   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "8160   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "8250   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "8260   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "8279   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "8650   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "8707   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "9289   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "9452   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "9885   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "9959   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "...         ...      ...               ...         ...         ...   \n",
       "3036   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "3209   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "3618   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "4138   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "4645   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "4794   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "5303   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "6939   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "7497   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "8635   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "9189   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "9329   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "9973   Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "10885  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "10958  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "11272  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "11619  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "11742  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "11778  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "11874  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "12455  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "13362  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "14022  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "14522  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "14860  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "15280  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "17208  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "17324  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "17339  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "17744  Order ID  Product  Quantity Ordered  Price Each  Order Date   \n",
       "\n",
       "       Purchase Address  \n",
       "775    Purchase Address  \n",
       "1391   Purchase Address  \n",
       "1438   Purchase Address  \n",
       "1624   Purchase Address  \n",
       "1720   Purchase Address  \n",
       "2579   Purchase Address  \n",
       "2951   Purchase Address  \n",
       "3447   Purchase Address  \n",
       "3493   Purchase Address  \n",
       "3513   Purchase Address  \n",
       "3686   Purchase Address  \n",
       "3833   Purchase Address  \n",
       "4494   Purchase Address  \n",
       "5070   Purchase Address  \n",
       "5158   Purchase Address  \n",
       "5165   Purchase Address  \n",
       "5856   Purchase Address  \n",
       "7213   Purchase Address  \n",
       "7798   Purchase Address  \n",
       "8128   Purchase Address  \n",
       "8160   Purchase Address  \n",
       "8250   Purchase Address  \n",
       "8260   Purchase Address  \n",
       "8279   Purchase Address  \n",
       "8650   Purchase Address  \n",
       "8707   Purchase Address  \n",
       "9289   Purchase Address  \n",
       "9452   Purchase Address  \n",
       "9885   Purchase Address  \n",
       "9959   Purchase Address  \n",
       "...                 ...  \n",
       "3036   Purchase Address  \n",
       "3209   Purchase Address  \n",
       "3618   Purchase Address  \n",
       "4138   Purchase Address  \n",
       "4645   Purchase Address  \n",
       "4794   Purchase Address  \n",
       "5303   Purchase Address  \n",
       "6939   Purchase Address  \n",
       "7497   Purchase Address  \n",
       "8635   Purchase Address  \n",
       "9189   Purchase Address  \n",
       "9329   Purchase Address  \n",
       "9973   Purchase Address  \n",
       "10885  Purchase Address  \n",
       "10958  Purchase Address  \n",
       "11272  Purchase Address  \n",
       "11619  Purchase Address  \n",
       "11742  Purchase Address  \n",
       "11778  Purchase Address  \n",
       "11874  Purchase Address  \n",
       "12455  Purchase Address  \n",
       "13362  Purchase Address  \n",
       "14022  Purchase Address  \n",
       "14522  Purchase Address  \n",
       "14860  Purchase Address  \n",
       "15280  Purchase Address  \n",
       "17208  Purchase Address  \n",
       "17324  Purchase Address  \n",
       "17339  Purchase Address  \n",
       "17744  Purchase Address  \n",
       "\n",
       "[355 rows x 6 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[~df['Order ID'].str.isdigit(), : ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 606
    },
    "id": "BQe2n3mdpJX8",
    "outputId": "4e6b27d3-43b4-48c9-d373-087d8e430084"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>222912</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>3.84</td>\n",
       "      <td>07/29/19 12:41</td>\n",
       "      <td>861 Hill St, Atlanta, GA 30301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>222913</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>3.84</td>\n",
       "      <td>07/28/19 10:15</td>\n",
       "      <td>190 Ridge St, Atlanta, GA 30301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>222914</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>5</td>\n",
       "      <td>2.99</td>\n",
       "      <td>07/31/19 02:13</td>\n",
       "      <td>824 Forest St, Seattle, WA 98101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>222915</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>07/03/19 18:30</td>\n",
       "      <td>899 Elm St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>222916</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600</td>\n",
       "      <td>07/21/19 22:39</td>\n",
       "      <td>745 Chestnut St, New York City, NY 10001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>222917</td>\n",
       "      <td>LG Dryer</td>\n",
       "      <td>1</td>\n",
       "      <td>600.0</td>\n",
       "      <td>07/17/19 13:44</td>\n",
       "      <td>490 Adams St, New York City, NY 10001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>222918</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>07/14/19 21:16</td>\n",
       "      <td>207 1st St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>222919</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>07/14/19 13:24</td>\n",
       "      <td>29 Jefferson St, Dallas, TX 75001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>222920</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>3.84</td>\n",
       "      <td>07/30/19 04:42</td>\n",
       "      <td>590 6th St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>222921</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>07/02/19 11:04</td>\n",
       "      <td>960 Willow St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>222922</td>\n",
       "      <td>34in Ultrawide Monitor</td>\n",
       "      <td>1</td>\n",
       "      <td>379.99</td>\n",
       "      <td>07/20/19 21:12</td>\n",
       "      <td>616 Chestnut St, Dallas, TX 75001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>222923</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>2.99</td>\n",
       "      <td>07/05/19 12:16</td>\n",
       "      <td>105 Johnson St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>222924</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>07/13/19 20:46</td>\n",
       "      <td>444 Spruce St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>222925</td>\n",
       "      <td>Apple Airpods Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>150</td>\n",
       "      <td>07/09/19 02:59</td>\n",
       "      <td>764 Adams St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>222926</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>14.95</td>\n",
       "      <td>07/15/19 17:44</td>\n",
       "      <td>577 Lakeview St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>222927</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>07/31/19 20:34</td>\n",
       "      <td>244 Washington St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>222928</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600</td>\n",
       "      <td>07/15/19 17:18</td>\n",
       "      <td>524 Cherry St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>222929</td>\n",
       "      <td>Vareebadd Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>400</td>\n",
       "      <td>07/04/19 19:46</td>\n",
       "      <td>882 Hickory St, Boston, MA 02215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>222930</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>07/20/19 20:57</td>\n",
       "      <td>826 River St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>222931</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>07/18/19 09:21</td>\n",
       "      <td>145 Pine St, Boston, MA 02215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>222932</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>07/24/19 17:32</td>\n",
       "      <td>386 Cedar St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>222933</td>\n",
       "      <td>LG Dryer</td>\n",
       "      <td>1</td>\n",
       "      <td>600.0</td>\n",
       "      <td>07/30/19 13:20</td>\n",
       "      <td>76 2nd St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>222934</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>2</td>\n",
       "      <td>3.84</td>\n",
       "      <td>07/03/19 23:51</td>\n",
       "      <td>437 River St, Seattle, WA 98101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>222935</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>2.99</td>\n",
       "      <td>07/23/19 12:20</td>\n",
       "      <td>118 9th St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>222936</td>\n",
       "      <td>27in FHD Monitor</td>\n",
       "      <td>1</td>\n",
       "      <td>149.99</td>\n",
       "      <td>07/04/19 12:29</td>\n",
       "      <td>483 West St, Boston, MA 02215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>222937</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>14.95</td>\n",
       "      <td>07/03/19 09:01</td>\n",
       "      <td>538 North St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>222938</td>\n",
       "      <td>Flatscreen TV</td>\n",
       "      <td>1</td>\n",
       "      <td>300</td>\n",
       "      <td>07/20/19 17:49</td>\n",
       "      <td>523 Hickory St, Dallas, TX 75001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>222939</td>\n",
       "      <td>Apple Airpods Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>150</td>\n",
       "      <td>07/17/19 21:53</td>\n",
       "      <td>597 Madison St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>222940</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>2</td>\n",
       "      <td>11.99</td>\n",
       "      <td>07/05/19 15:06</td>\n",
       "      <td>779 Maple St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>222941</td>\n",
       "      <td>Apple Airpods Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>150</td>\n",
       "      <td>07/02/19 05:48</td>\n",
       "      <td>631 Willow St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18353</th>\n",
       "      <td>194065</td>\n",
       "      <td>27in FHD Monitor</td>\n",
       "      <td>1</td>\n",
       "      <td>149.99</td>\n",
       "      <td>04/24/19 13:47</td>\n",
       "      <td>881 Cherry St, New York City, NY 10001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18354</th>\n",
       "      <td>194066</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>04/09/19 01:16</td>\n",
       "      <td>165 1st St, Portland, OR 97035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18355</th>\n",
       "      <td>194067</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700</td>\n",
       "      <td>05/01/19 04:25</td>\n",
       "      <td>291 North St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18356</th>\n",
       "      <td>194068</td>\n",
       "      <td>Apple Airpods Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>150</td>\n",
       "      <td>04/02/19 20:54</td>\n",
       "      <td>805 North St, Boston, MA 02215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18357</th>\n",
       "      <td>194069</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>3.84</td>\n",
       "      <td>04/12/19 23:33</td>\n",
       "      <td>807 Johnson St, Boston, MA 02215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18358</th>\n",
       "      <td>194070</td>\n",
       "      <td>27in FHD Monitor</td>\n",
       "      <td>1</td>\n",
       "      <td>149.99</td>\n",
       "      <td>04/09/19 22:51</td>\n",
       "      <td>942 Dogwood St, New York City, NY 10001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18359</th>\n",
       "      <td>194071</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/14/19 16:55</td>\n",
       "      <td>568 Washington St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18360</th>\n",
       "      <td>194072</td>\n",
       "      <td>34in Ultrawide Monitor</td>\n",
       "      <td>1</td>\n",
       "      <td>379.99</td>\n",
       "      <td>04/18/19 16:41</td>\n",
       "      <td>999 Madison St, Seattle, WA 98101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18361</th>\n",
       "      <td>194073</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>14.95</td>\n",
       "      <td>04/14/19 07:29</td>\n",
       "      <td>144 Cherry St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18362</th>\n",
       "      <td>194074</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>3.84</td>\n",
       "      <td>04/02/19 16:26</td>\n",
       "      <td>169 Lake St, Boston, MA 02215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18363</th>\n",
       "      <td>194075</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>3.84</td>\n",
       "      <td>04/28/19 19:02</td>\n",
       "      <td>981 Washington St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18364</th>\n",
       "      <td>194076</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>04/17/19 12:57</td>\n",
       "      <td>537 Dogwood St, Atlanta, GA 30301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18365</th>\n",
       "      <td>194077</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>3</td>\n",
       "      <td>3.84</td>\n",
       "      <td>04/11/19 09:46</td>\n",
       "      <td>620 West St, Dallas, TX 75001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18366</th>\n",
       "      <td>194078</td>\n",
       "      <td>Flatscreen TV</td>\n",
       "      <td>1</td>\n",
       "      <td>300</td>\n",
       "      <td>04/29/19 10:11</td>\n",
       "      <td>692 Lincoln St, Atlanta, GA 30301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18367</th>\n",
       "      <td>194079</td>\n",
       "      <td>Apple Airpods Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>150</td>\n",
       "      <td>04/27/19 15:12</td>\n",
       "      <td>956 Ridge St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18368</th>\n",
       "      <td>194080</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/09/19 14:08</td>\n",
       "      <td>517 Walnut St, Atlanta, GA 30301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18369</th>\n",
       "      <td>194081</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>2.99</td>\n",
       "      <td>04/25/19 14:19</td>\n",
       "      <td>110 Lake St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18370</th>\n",
       "      <td>194082</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>04/27/19 13:37</td>\n",
       "      <td>792 7th St, Boston, MA 02215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18371</th>\n",
       "      <td>194083</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/23/19 22:33</td>\n",
       "      <td>85 1st St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18372</th>\n",
       "      <td>194084</td>\n",
       "      <td>Apple Airpods Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>150</td>\n",
       "      <td>04/26/19 22:11</td>\n",
       "      <td>818 12th St, Boston, MA 02215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18373</th>\n",
       "      <td>194085</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>04/17/19 20:12</td>\n",
       "      <td>315 12th St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18374</th>\n",
       "      <td>194086</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600</td>\n",
       "      <td>04/28/19 08:50</td>\n",
       "      <td>981 Dogwood St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18375</th>\n",
       "      <td>194087</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/26/19 11:44</td>\n",
       "      <td>35 13th St, Portland, OR 97035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18376</th>\n",
       "      <td>194088</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>2</td>\n",
       "      <td>2.99</td>\n",
       "      <td>04/04/19 18:46</td>\n",
       "      <td>718 12th St, Austin, TX 73301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18377</th>\n",
       "      <td>194089</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>04/09/19 17:15</td>\n",
       "      <td>458 11th St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18378</th>\n",
       "      <td>194090</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600</td>\n",
       "      <td>04/08/19 17:11</td>\n",
       "      <td>177 Jackson St, Los Angeles, CA 90001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18379</th>\n",
       "      <td>194091</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>3.84</td>\n",
       "      <td>04/15/19 16:02</td>\n",
       "      <td>311 Forest St, Austin, TX 73301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18380</th>\n",
       "      <td>194092</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>2</td>\n",
       "      <td>2.99</td>\n",
       "      <td>04/28/19 14:36</td>\n",
       "      <td>347 Sunset St, San Francisco, CA 94016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18381</th>\n",
       "      <td>194093</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>3.84</td>\n",
       "      <td>04/14/19 15:09</td>\n",
       "      <td>835 Lake St, Portland, OR 97035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18382</th>\n",
       "      <td>194094</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>04/18/19 11:08</td>\n",
       "      <td>354 North St, Boston, MA 02215</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>186282 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Order ID                     Product Quantity Ordered Price Each  \\\n",
       "2       222912       AA Batteries (4-pack)                1       3.84   \n",
       "3       222913       AA Batteries (4-pack)                1       3.84   \n",
       "4       222914      AAA Batteries (4-pack)                5       2.99   \n",
       "5       222915  Bose SoundSport Headphones                1      99.99   \n",
       "6       222916                Google Phone                1        600   \n",
       "7       222917                    LG Dryer                1      600.0   \n",
       "8       222918        USB-C Charging Cable                1      11.95   \n",
       "9       222919    Lightning Charging Cable                1      14.95   \n",
       "10      222920       AA Batteries (4-pack)                1       3.84   \n",
       "11      222921    Lightning Charging Cable                1      14.95   \n",
       "12      222922      34in Ultrawide Monitor                1     379.99   \n",
       "13      222923      AAA Batteries (4-pack)                1       2.99   \n",
       "14      222924  Bose SoundSport Headphones                1      99.99   \n",
       "15      222925    Apple Airpods Headphones                1        150   \n",
       "16      222926    Lightning Charging Cable                2      14.95   \n",
       "17      222927            Wired Headphones                1      11.99   \n",
       "18      222928                Google Phone                1        600   \n",
       "19      222929             Vareebadd Phone                1        400   \n",
       "20      222930    Lightning Charging Cable                1      14.95   \n",
       "21      222931        USB-C Charging Cable                1      11.95   \n",
       "22      222932            Wired Headphones                1      11.99   \n",
       "23      222933                    LG Dryer                1      600.0   \n",
       "24      222934       AA Batteries (4-pack)                2       3.84   \n",
       "25      222935      AAA Batteries (4-pack)                1       2.99   \n",
       "26      222936            27in FHD Monitor                1     149.99   \n",
       "27      222937    Lightning Charging Cable                2      14.95   \n",
       "28      222938               Flatscreen TV                1        300   \n",
       "29      222939    Apple Airpods Headphones                1        150   \n",
       "30      222940            Wired Headphones                2      11.99   \n",
       "31      222941    Apple Airpods Headphones                1        150   \n",
       "...        ...                         ...              ...        ...   \n",
       "18353   194065            27in FHD Monitor                1     149.99   \n",
       "18354   194066    Lightning Charging Cable                1      14.95   \n",
       "18355   194067                      iPhone                1        700   \n",
       "18356   194068    Apple Airpods Headphones                1        150   \n",
       "18357   194069       AA Batteries (4-pack)                1       3.84   \n",
       "18358   194070            27in FHD Monitor                1     149.99   \n",
       "18359   194071        USB-C Charging Cable                1      11.95   \n",
       "18360   194072      34in Ultrawide Monitor                1     379.99   \n",
       "18361   194073    Lightning Charging Cable                2      14.95   \n",
       "18362   194074       AA Batteries (4-pack)                1       3.84   \n",
       "18363   194075       AA Batteries (4-pack)                1       3.84   \n",
       "18364   194076    Lightning Charging Cable                1      14.95   \n",
       "18365   194077       AA Batteries (4-pack)                3       3.84   \n",
       "18366   194078               Flatscreen TV                1        300   \n",
       "18367   194079    Apple Airpods Headphones                1        150   \n",
       "18368   194080        USB-C Charging Cable                2      11.95   \n",
       "18369   194081      AAA Batteries (4-pack)                1       2.99   \n",
       "18370   194082  Bose SoundSport Headphones                1      99.99   \n",
       "18371   194083        USB-C Charging Cable                1      11.95   \n",
       "18372   194084    Apple Airpods Headphones                1        150   \n",
       "18373   194085            Wired Headphones                1      11.99   \n",
       "18374   194086                Google Phone                1        600   \n",
       "18375   194087        USB-C Charging Cable                2      11.95   \n",
       "18376   194088      AAA Batteries (4-pack)                2       2.99   \n",
       "18377   194089        USB-C Charging Cable                1      11.95   \n",
       "18378   194090                Google Phone                1        600   \n",
       "18379   194091       AA Batteries (4-pack)                1       3.84   \n",
       "18380   194092      AAA Batteries (4-pack)                2       2.99   \n",
       "18381   194093       AA Batteries (4-pack)                1       3.84   \n",
       "18382   194094    Lightning Charging Cable                1      14.95   \n",
       "\n",
       "           Order Date                            Purchase Address  \n",
       "2      07/29/19 12:41              861 Hill St, Atlanta, GA 30301  \n",
       "3      07/28/19 10:15             190 Ridge St, Atlanta, GA 30301  \n",
       "4      07/31/19 02:13            824 Forest St, Seattle, WA 98101  \n",
       "5      07/03/19 18:30         899 Elm St, San Francisco, CA 94016  \n",
       "6      07/21/19 22:39    745 Chestnut St, New York City, NY 10001  \n",
       "7      07/17/19 13:44       490 Adams St, New York City, NY 10001  \n",
       "8      07/14/19 21:16           207 1st St, Los Angeles, CA 90001  \n",
       "9      07/14/19 13:24           29 Jefferson St, Dallas, TX 75001  \n",
       "10     07/30/19 04:42         590 6th St, San Francisco, CA 94016  \n",
       "11     07/02/19 11:04      960 Willow St, San Francisco, CA 94016  \n",
       "12     07/20/19 21:12           616 Chestnut St, Dallas, TX 75001  \n",
       "13     07/05/19 12:16       105 Johnson St, Los Angeles, CA 90001  \n",
       "14     07/13/19 20:46      444 Spruce St, San Francisco, CA 94016  \n",
       "15     07/09/19 02:59       764 Adams St, San Francisco, CA 94016  \n",
       "16     07/15/19 17:44      577 Lakeview St, Los Angeles, CA 90001  \n",
       "17     07/31/19 20:34    244 Washington St, Los Angeles, CA 90001  \n",
       "18     07/15/19 17:18      524 Cherry St, San Francisco, CA 94016  \n",
       "19     07/04/19 19:46            882 Hickory St, Boston, MA 02215  \n",
       "20     07/20/19 20:57       826 River St, San Francisco, CA 94016  \n",
       "21     07/18/19 09:21               145 Pine St, Boston, MA 02215  \n",
       "22     07/24/19 17:32         386 Cedar St, Los Angeles, CA 90001  \n",
       "23     07/30/19 13:20            76 2nd St, Los Angeles, CA 90001  \n",
       "24     07/03/19 23:51             437 River St, Seattle, WA 98101  \n",
       "25     07/23/19 12:20         118 9th St, San Francisco, CA 94016  \n",
       "26     07/04/19 12:29               483 West St, Boston, MA 02215  \n",
       "27     07/03/19 09:01       538 North St, San Francisco, CA 94016  \n",
       "28     07/20/19 17:49            523 Hickory St, Dallas, TX 75001  \n",
       "29     07/17/19 21:53       597 Madison St, Los Angeles, CA 90001  \n",
       "30     07/05/19 15:06       779 Maple St, San Francisco, CA 94016  \n",
       "31     07/02/19 05:48      631 Willow St, San Francisco, CA 94016  \n",
       "...               ...                                         ...  \n",
       "18353  04/24/19 13:47      881 Cherry St, New York City, NY 10001  \n",
       "18354  04/09/19 01:16              165 1st St, Portland, OR 97035  \n",
       "18355  05/01/19 04:25       291 North St, San Francisco, CA 94016  \n",
       "18356  04/02/19 20:54              805 North St, Boston, MA 02215  \n",
       "18357  04/12/19 23:33            807 Johnson St, Boston, MA 02215  \n",
       "18358  04/09/19 22:51     942 Dogwood St, New York City, NY 10001  \n",
       "18359  04/14/19 16:55  568 Washington St, San Francisco, CA 94016  \n",
       "18360  04/18/19 16:41           999 Madison St, Seattle, WA 98101  \n",
       "18361  04/14/19 07:29        144 Cherry St, Los Angeles, CA 90001  \n",
       "18362  04/02/19 16:26               169 Lake St, Boston, MA 02215  \n",
       "18363  04/28/19 19:02  981 Washington St, San Francisco, CA 94016  \n",
       "18364  04/17/19 12:57           537 Dogwood St, Atlanta, GA 30301  \n",
       "18365  04/11/19 09:46               620 West St, Dallas, TX 75001  \n",
       "18366  04/29/19 10:11           692 Lincoln St, Atlanta, GA 30301  \n",
       "18367  04/27/19 15:12         956 Ridge St, Los Angeles, CA 90001  \n",
       "18368  04/09/19 14:08            517 Walnut St, Atlanta, GA 30301  \n",
       "18369  04/25/19 14:19        110 Lake St, San Francisco, CA 94016  \n",
       "18370  04/27/19 13:37                792 7th St, Boston, MA 02215  \n",
       "18371  04/23/19 22:33            85 1st St, Los Angeles, CA 90001  \n",
       "18372  04/26/19 22:11               818 12th St, Boston, MA 02215  \n",
       "18373  04/17/19 20:12          315 12th St, Los Angeles, CA 90001  \n",
       "18374  04/28/19 08:50       981 Dogwood St, Los Angeles, CA 90001  \n",
       "18375  04/26/19 11:44              35 13th St, Portland, OR 97035  \n",
       "18376  04/04/19 18:46               718 12th St, Austin, TX 73301  \n",
       "18377  04/09/19 17:15        458 11th St, San Francisco, CA 94016  \n",
       "18378  04/08/19 17:11       177 Jackson St, Los Angeles, CA 90001  \n",
       "18379  04/15/19 16:02             311 Forest St, Austin, TX 73301  \n",
       "18380  04/28/19 14:36      347 Sunset St, San Francisco, CA 94016  \n",
       "18381  04/14/19 15:09             835 Lake St, Portland, OR 97035  \n",
       "18382  04/18/19 11:08              354 North St, Boston, MA 02215  \n",
       "\n",
       "[186282 rows x 6 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.drop(df['Order Date'] == \"Order Date\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "id": "BPgb1-0Ip3lD"
   },
   "outputs": [],
   "source": [
    "df_clean = df.drop(df.loc[df['Order Date'] == \"Order Date\", :].index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 49
    },
    "id": "8bka_lRUrDge",
    "outputId": "9c9659c2-7590-41d5-c4f6-b953585418b6"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Order ID, Product, Quantity Ordered, Price Each, Order Date, Purchase Address]\n",
       "Index: []"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.loc[~df_clean['Order ID'].str.isdigit(), : ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2RnhyvXNqFtl"
   },
   "source": [
    "Changement des Types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 306
    },
    "id": "r5y2c1otp_0G",
    "outputId": "fd9ce2a7-45ff-4db9-cc0d-eb53900b5a4f"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Purchase Address</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>222910</td>\n",
       "      <td>Apple Airpods Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>150</td>\n",
       "      <td>07/26/19 16:51</td>\n",
       "      <td>389 South St, Atlanta, GA 30301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>222911</td>\n",
       "      <td>Flatscreen TV</td>\n",
       "      <td>1</td>\n",
       "      <td>300</td>\n",
       "      <td>07/05/19 08:55</td>\n",
       "      <td>590 4th St, Seattle, WA 98101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>222912</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>3.84</td>\n",
       "      <td>07/29/19 12:41</td>\n",
       "      <td>861 Hill St, Atlanta, GA 30301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>222913</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>3.84</td>\n",
       "      <td>07/28/19 10:15</td>\n",
       "      <td>190 Ridge St, Atlanta, GA 30301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>222914</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>5</td>\n",
       "      <td>2.99</td>\n",
       "      <td>07/31/19 02:13</td>\n",
       "      <td>824 Forest St, Seattle, WA 98101</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order ID                   Product Quantity Ordered Price Each  \\\n",
       "0   222910  Apple Airpods Headphones                1        150   \n",
       "1   222911             Flatscreen TV                1        300   \n",
       "2   222912     AA Batteries (4-pack)                1       3.84   \n",
       "3   222913     AA Batteries (4-pack)                1       3.84   \n",
       "4   222914    AAA Batteries (4-pack)                5       2.99   \n",
       "\n",
       "       Order Date                  Purchase Address  \n",
       "0  07/26/19 16:51   389 South St, Atlanta, GA 30301  \n",
       "1  07/05/19 08:55     590 4th St, Seattle, WA 98101  \n",
       "2  07/29/19 12:41    861 Hill St, Atlanta, GA 30301  \n",
       "3  07/28/19 10:15   190 Ridge St, Atlanta, GA 30301  \n",
       "4  07/31/19 02:13  824 Forest St, Seattle, WA 98101  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "5ZOQtW39qKtb",
    "outputId": "9c42716b-21bd-46a8-c83c-aec6b2a3b39d"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/kevin/miniconda3/envs/ds/lib/python3.7/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "df_clean['Quantity Ordered'] = df_clean['Quantity Ordered'].astype('int')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "zjqb7KUPq-uX",
    "outputId": "4c914476-d175-4b7b-eec1-db3dad50c74a"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/kevin/miniconda3/envs/ds/lib/python3.7/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "df_clean['Price Each'] = pd.to_numeric(df_clean['Price Each'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "go-5k6lwr5pe",
    "outputId": "be663e19-7265-4dcd-e49f-50de00e95af3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 182735 entries, 0 to 18382\n",
      "Data columns (total 6 columns):\n",
      "Order ID            182735 non-null object\n",
      "Product             182735 non-null object\n",
      "Quantity Ordered    182735 non-null int64\n",
      "Price Each          182735 non-null float64\n",
      "Order Date          182735 non-null object\n",
      "Purchase Address    182735 non-null object\n",
      "dtypes: float64(1), int64(1), object(4)\n",
      "memory usage: 9.8+ MB\n"
     ]
    }
   ],
   "source": [
    "df_clean.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "j5DmptSxr-IO",
    "outputId": "a10e068a-b5ee-49fa-9754-aea89ca05aba"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/kevin/miniconda3/envs/ds/lib/python3.7/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "df_clean['Order Date'] = pd.to_datetime(df_clean['Order Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "zbwJvYk5sJSO",
    "outputId": "479db95a-8790-41fb-c2a7-f399ecfb8355"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 182735 entries, 0 to 18382\n",
      "Data columns (total 6 columns):\n",
      "Order ID            182735 non-null object\n",
      "Product             182735 non-null object\n",
      "Quantity Ordered    182735 non-null int64\n",
      "Price Each          182735 non-null float64\n",
      "Order Date          182735 non-null datetime64[ns]\n",
      "Purchase Address    182735 non-null object\n",
      "dtypes: datetime64[ns](1), float64(1), int64(1), object(3)\n",
      "memory usage: 9.8+ MB\n"
     ]
    }
   ],
   "source": [
    "df_clean.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "OhkKSeQGskID",
    "outputId": "eee10efa-3c89-4558-dc5f-39cc43fbc111"
   },
   "outputs": [
    {
     "data": {
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       "0        07/26/19 16:51\n",
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       "2        07/29/19 12:41\n",
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       "4        07/31/19 02:13\n",
       "5        07/03/19 18:30\n",
       "6        07/21/19 22:39\n",
       "7        07/17/19 13:44\n",
       "8        07/14/19 21:16\n",
       "9        07/14/19 13:24\n",
       "10       07/30/19 04:42\n",
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       "15       07/09/19 02:59\n",
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       "28       07/20/19 17:49\n",
       "29       07/17/19 21:53\n",
       "              ...      \n",
       "18353    04/24/19 13:47\n",
       "18354    04/09/19 01:16\n",
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       "Name: Order Date, Length: 186305, dtype: object"
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     "metadata": {},
     "output_type": "execute_result"
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    "df['Order Date']"
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  {
   "cell_type": "code",
   "execution_count": 37,
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    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "KcDUXX-Msvcw",
    "outputId": "3cef5abe-74cc-42e4-e60f-179a79e4b735"
   },
   "outputs": [
    {
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       "5       2019-07-03 18:30:00\n",
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       "27      2019-07-03 09:01:00\n",
       "28      2019-07-20 17:49:00\n",
       "29      2019-07-17 21:53:00\n",
       "                ...        \n",
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       "18363   2019-04-28 19:02:00\n",
       "18364   2019-04-17 12:57:00\n",
       "18365   2019-04-11 09:46:00\n",
       "18366   2019-04-29 10:11:00\n",
       "18367   2019-04-27 15:12:00\n",
       "18368   2019-04-09 14:08:00\n",
       "18369   2019-04-25 14:19:00\n",
       "18370   2019-04-27 13:37:00\n",
       "18371   2019-04-23 22:33:00\n",
       "18372   2019-04-26 22:11:00\n",
       "18373   2019-04-17 20:12:00\n",
       "18374   2019-04-28 08:50:00\n",
       "18375   2019-04-26 11:44:00\n",
       "18376   2019-04-04 18:46:00\n",
       "18377   2019-04-09 17:15:00\n",
       "18378   2019-04-08 17:11:00\n",
       "18379   2019-04-15 16:02:00\n",
       "18380   2019-04-28 14:36:00\n",
       "18381   2019-04-14 15:09:00\n",
       "18382   2019-04-18 11:08:00\n",
       "Name: Order Date, Length: 182735, dtype: datetime64[ns]"
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     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean['Order Date']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "GilkeYhpsdIM"
   },
   "source": [
    "## Analyse Exploratoire proprement dite"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "TjhtLeBvs9ib"
   },
   "source": [
    "## Quel est le meilleur mois de vente ? et Quel est le chiffre d'affaires de ce mois ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 306
    },
    "id": "MaM7ag8esTPU",
    "outputId": "51f6343e-34b1-44cc-bf69-94ea55e9b65e"
   },
   "outputs": [
    {
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       "      <th>0</th>\n",
       "      <td>222910</td>\n",
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       "      <td>150.00</td>\n",
       "      <td>2019-07-26 16:51:00</td>\n",
       "      <td>389 South St, Atlanta, GA 30301</td>\n",
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       "      <td>222911</td>\n",
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       "      <th>2</th>\n",
       "      <td>222912</td>\n",
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       "      <td>2019-07-29 12:41:00</td>\n",
       "      <td>861 Hill St, Atlanta, GA 30301</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>222913</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>3.84</td>\n",
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       "      <td>190 Ridge St, Atlanta, GA 30301</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>222914</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
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       "      <td>2.99</td>\n",
       "      <td>2019-07-31 02:13:00</td>\n",
       "      <td>824 Forest St, Seattle, WA 98101</td>\n",
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       "  </tbody>\n",
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      ],
      "text/plain": [
       "  Order ID                   Product  Quantity Ordered  Price Each  \\\n",
       "0   222910  Apple Airpods Headphones                 1      150.00   \n",
       "1   222911             Flatscreen TV                 1      300.00   \n",
       "2   222912     AA Batteries (4-pack)                 1        3.84   \n",
       "3   222913     AA Batteries (4-pack)                 1        3.84   \n",
       "4   222914    AAA Batteries (4-pack)                 5        2.99   \n",
       "\n",
       "           Order Date                  Purchase Address  \n",
       "0 2019-07-26 16:51:00   389 South St, Atlanta, GA 30301  \n",
       "1 2019-07-05 08:55:00     590 4th St, Seattle, WA 98101  \n",
       "2 2019-07-29 12:41:00    861 Hill St, Atlanta, GA 30301  \n",
       "3 2019-07-28 10:15:00   190 Ridge St, Atlanta, GA 30301  \n",
       "4 2019-07-31 02:13:00  824 Forest St, Seattle, WA 98101  "
      ]
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     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "df_clean.head()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "dgo-F4ZmtcDj",
    "outputId": "147cad9a-d099-40a5-d20c-d266efc2a687"
   },
   "outputs": [
    {
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      "text/plain": [
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       "                9,\n",
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     "execution_count": 39,
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    "df_clean.index"
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  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "id": "g_lAeWm1tgn0"
   },
   "outputs": [],
   "source": [
    "df_clean  = df_clean.set_index('Order Date')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 337
    },
    "id": "597mOhnKtniD",
    "outputId": "dfba60cd-9ba2-4da0-e4f0-360a763e1d26"
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   "outputs": [
    {
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       "    <tr>\n",
       "      <th>2019-07-29 12:41:00</th>\n",
       "      <td>222912</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
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       "      <th>2019-07-28 10:15:00</th>\n",
       "      <td>222913</td>\n",
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      "text/plain": [
       "                    Order ID                   Product  Quantity Ordered  \\\n",
       "Order Date                                                                 \n",
       "2019-07-26 16:51:00   222910  Apple Airpods Headphones                 1   \n",
       "2019-07-05 08:55:00   222911             Flatscreen TV                 1   \n",
       "2019-07-29 12:41:00   222912     AA Batteries (4-pack)                 1   \n",
       "2019-07-28 10:15:00   222913     AA Batteries (4-pack)                 1   \n",
       "2019-07-31 02:13:00   222914    AAA Batteries (4-pack)                 5   \n",
       "\n",
       "                     Price Each                  Purchase Address  \n",
       "Order Date                                                         \n",
       "2019-07-26 16:51:00      150.00   389 South St, Atlanta, GA 30301  \n",
       "2019-07-05 08:55:00      300.00     590 4th St, Seattle, WA 98101  \n",
       "2019-07-29 12:41:00        3.84    861 Hill St, Atlanta, GA 30301  \n",
       "2019-07-28 10:15:00        3.84   190 Ridge St, Atlanta, GA 30301  \n",
       "2019-07-31 02:13:00        2.99  824 Forest St, Seattle, WA 98101  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "id": "gNP_oRjit2Yi"
   },
   "outputs": [],
   "source": [
    "df_clean.sort_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 337
    },
    "id": "byvuiiWuuA6u",
    "outputId": "e8ac58cc-b860-4c97-9936-555b7edaf8dd"
   },
   "outputs": [
    {
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       "      <th>2019-01-01 03:07:00</th>\n",
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       "      <td>11.99</td>\n",
       "      <td>9 Lake St, New York City, NY 10001</td>\n",
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       "    <tr>\n",
       "      <th>2019-01-01 03:40:00</th>\n",
       "      <td>148041</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
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       "      <td>760 Church St, San Francisco, CA 94016</td>\n",
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       "      <td>735 5th St, New York City, NY 10001</td>\n",
       "    </tr>\n",
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       "      <th>2019-01-01 05:53:00</th>\n",
       "      <td>149964</td>\n",
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       "      <td>75 Jackson St, Dallas, TX 75001</td>\n",
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       "      <th>2019-01-01 06:03:00</th>\n",
       "      <td>149350</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>943 2nd St, Atlanta, GA 30301</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                    Order ID                   Product  Quantity Ordered  \\\n",
       "Order Date                                                                 \n",
       "2019-01-01 03:07:00   147268          Wired Headphones                 1   \n",
       "2019-01-01 03:40:00   148041      USB-C Charging Cable                 1   \n",
       "2019-01-01 04:56:00   149343  Apple Airpods Headphones                 1   \n",
       "2019-01-01 05:53:00   149964    AAA Batteries (4-pack)                 1   \n",
       "2019-01-01 06:03:00   149350      USB-C Charging Cable                 2   \n",
       "\n",
       "                     Price Each                        Purchase Address  \n",
       "Order Date                                                               \n",
       "2019-01-01 03:07:00       11.99      9 Lake St, New York City, NY 10001  \n",
       "2019-01-01 03:40:00       11.95  760 Church St, San Francisco, CA 94016  \n",
       "2019-01-01 04:56:00      150.00     735 5th St, New York City, NY 10001  \n",
       "2019-01-01 05:53:00        2.99         75 Jackson St, Dallas, TX 75001  \n",
       "2019-01-01 06:03:00       11.95           943 2nd St, Atlanta, GA 30301  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "id": "-9qQ1TxyuOKc"
   },
   "outputs": [],
   "source": [
    "df_clean['Month'] = df_clean.index.month_name()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 337
    },
    "id": "f5gtIM9DuZfT",
    "outputId": "5f128f57-e906-4bce-b3a8-e702f19ab883"
   },
   "outputs": [
    {
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       "      <th>2019-01-01 03:07:00</th>\n",
       "      <td>147268</td>\n",
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       "      <td>January</td>\n",
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       "    <tr>\n",
       "      <th>2019-01-01 03:40:00</th>\n",
       "      <td>148041</td>\n",
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       "      <td>1</td>\n",
       "      <td>150.00</td>\n",
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       "      <td>January</td>\n",
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       "      <th>2019-01-01 05:53:00</th>\n",
       "      <td>149964</td>\n",
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       "      <td>2.99</td>\n",
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       "      <td>January</td>\n",
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       "      <td>149350</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>943 2nd St, Atlanta, GA 30301</td>\n",
       "      <td>January</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Order ID                   Product  Quantity Ordered  \\\n",
       "Order Date                                                                 \n",
       "2019-01-01 03:07:00   147268          Wired Headphones                 1   \n",
       "2019-01-01 03:40:00   148041      USB-C Charging Cable                 1   \n",
       "2019-01-01 04:56:00   149343  Apple Airpods Headphones                 1   \n",
       "2019-01-01 05:53:00   149964    AAA Batteries (4-pack)                 1   \n",
       "2019-01-01 06:03:00   149350      USB-C Charging Cable                 2   \n",
       "\n",
       "                     Price Each                        Purchase Address  \\\n",
       "Order Date                                                                \n",
       "2019-01-01 03:07:00       11.99      9 Lake St, New York City, NY 10001   \n",
       "2019-01-01 03:40:00       11.95  760 Church St, San Francisco, CA 94016   \n",
       "2019-01-01 04:56:00      150.00     735 5th St, New York City, NY 10001   \n",
       "2019-01-01 05:53:00        2.99         75 Jackson St, Dallas, TX 75001   \n",
       "2019-01-01 06:03:00       11.95           943 2nd St, Atlanta, GA 30301   \n",
       "\n",
       "                       Month  \n",
       "Order Date                    \n",
       "2019-01-01 03:07:00  January  \n",
       "2019-01-01 03:40:00  January  \n",
       "2019-01-01 04:56:00  January  \n",
       "2019-01-01 05:53:00  January  \n",
       "2019-01-01 06:03:00  January  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df_clean.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "id": "ZZZ45FWPwl6C"
   },
   "outputs": [],
   "source": [
    "df_clean['chiffre_daffaire'] = df_clean['Quantity Ordered'] * df_clean['Price Each']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 354
    },
    "id": "yntUqZGDw12s",
    "outputId": "285b2795-4c1e-4759-a3fe-9b4333a8ad1b"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Purchase Address</th>\n",
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       "      <th>chiffre_daffaire</th>\n",
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       "      <th>Order Date</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-19 12:00:00</th>\n",
       "      <td>291027</td>\n",
       "      <td>Macbook Pro Laptop</td>\n",
       "      <td>1</td>\n",
       "      <td>1700.00</td>\n",
       "      <td>757 Lincoln St, Austin, TX 73301</td>\n",
       "      <td>November</td>\n",
       "      <td>1700.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-10-29 16:58:00</th>\n",
       "      <td>265615</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>2</td>\n",
       "      <td>2.99</td>\n",
       "      <td>523 Highland St, San Francisco, CA 94016</td>\n",
       "      <td>October</td>\n",
       "      <td>5.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-25 10:59:00</th>\n",
       "      <td>187104</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>838 West St, Los Angeles, CA 90001</td>\n",
       "      <td>April</td>\n",
       "      <td>11.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-06-22 00:22:00</th>\n",
       "      <td>214367</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>877 4th St, Atlanta, GA 30301</td>\n",
       "      <td>June</td>\n",
       "      <td>11.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-05-30 23:01:00</th>\n",
       "      <td>197165</td>\n",
       "      <td>Apple Airpods Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>150.00</td>\n",
       "      <td>515 5th St, Atlanta, GA 30301</td>\n",
       "      <td>May</td>\n",
       "      <td>150.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Order ID                   Product  Quantity Ordered  \\\n",
       "Order Date                                                                 \n",
       "2019-11-19 12:00:00   291027        Macbook Pro Laptop                 1   \n",
       "2019-10-29 16:58:00   265615    AAA Batteries (4-pack)                 2   \n",
       "2019-04-25 10:59:00   187104          Wired Headphones                 1   \n",
       "2019-06-22 00:22:00   214367      USB-C Charging Cable                 1   \n",
       "2019-05-30 23:01:00   197165  Apple Airpods Headphones                 1   \n",
       "\n",
       "                     Price Each                          Purchase Address  \\\n",
       "Order Date                                                                  \n",
       "2019-11-19 12:00:00     1700.00          757 Lincoln St, Austin, TX 73301   \n",
       "2019-10-29 16:58:00        2.99  523 Highland St, San Francisco, CA 94016   \n",
       "2019-04-25 10:59:00       11.99        838 West St, Los Angeles, CA 90001   \n",
       "2019-06-22 00:22:00       11.95             877 4th St, Atlanta, GA 30301   \n",
       "2019-05-30 23:01:00      150.00             515 5th St, Atlanta, GA 30301   \n",
       "\n",
       "                        Month  chiffre_daffaire  \n",
       "Order Date                                       \n",
       "2019-11-19 12:00:00  November           1700.00  \n",
       "2019-10-29 16:58:00   October              5.98  \n",
       "2019-04-25 10:59:00     April             11.99  \n",
       "2019-06-22 00:22:00      June             11.95  \n",
       "2019-05-30 23:01:00       May            150.00  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "s1jfUE5-vy37",
    "outputId": "25166a89-9bad-4fce-86e4-4957310bc3f1"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Month\n",
       "December     4.557905e+06\n",
       "October      3.679254e+06\n",
       "April        3.336376e+06\n",
       "November     3.149785e+06\n",
       "May          3.101881e+06\n",
       "March        2.755969e+06\n",
       "July         2.587445e+06\n",
       "June         2.524465e+06\n",
       "August       2.191698e+06\n",
       "February     2.158127e+06\n",
       "September    2.050361e+06\n",
       "January      1.786511e+06\n",
       "Name: chiffre_daffaire, dtype: float64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.groupby('Month')[\"chiffre_daffaire\"].sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "order = [\"January\", \"February\", \"March\", \"April\", \"May\", \"June\", \"July\", \"August\",\n",
    "                  \"September\", \"October\", \"November\", \"December\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Month\n",
       "January      1.786511e+06\n",
       "February     2.158127e+06\n",
       "March        2.755969e+06\n",
       "April        3.336376e+06\n",
       "May          3.101881e+06\n",
       "June         2.524465e+06\n",
       "July         2.587445e+06\n",
       "August       2.191698e+06\n",
       "September    2.050361e+06\n",
       "October      3.679254e+06\n",
       "November     3.149785e+06\n",
       "December     4.557905e+06\n",
       "Name: chiffre_daffaire, dtype: float64"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.groupby('Month')[\"chiffre_daffaire\"].sum().loc[order]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, \"Chiffre d'affaire global par mois\")"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_clean.groupby('Month')[\"chiffre_daffaire\"].sum().loc[order].plot.bar(figsize=(10, 8))\n",
    "plt.title(\"Chiffre d'affaire global par mois\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "YkBCfY-5stZP",
    "outputId": "c1dc27f0-dfc4-4e06-825c-948084bca87f"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4557905.420001525"
      ]
     },
     "execution_count": 79,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.groupby('Month').sum()[\"chiffre_daffaire\"].sort_values(ascending=False).December"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "iLAoa3s1xKF3"
   },
   "source": [
    "Décembre est le mois avec le plus de ventes et le CA est de 4557905.420001525"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WrMLrbSRxWti"
   },
   "source": [
    "## Dans quelle ville a-t-on le plus vendu de produits ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "QdOwNQtasuXD",
    "outputId": "3798a34b-db62-4858-caad-1c88e0f25d9b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['9 Lake St, New York City, NY 10001',\n",
       "       '760 Church St, San Francisco, CA 94016',\n",
       "       '735 5th St, New York City, NY 10001', ...,\n",
       "       '731 7th St, New York City, NY 10001',\n",
       "       '754 Hickory St, New York City, NY 10001',\n",
       "       '657 Spruce St, New York City, NY 10001'], dtype=object)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean['Purchase Address'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "id": "CN73Q-zjyjix"
   },
   "outputs": [],
   "source": [
    "def get_ville(addresse):\n",
    "  return addresse.split(',')[1].strip()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "uiXl1Q6BzB0S",
    "outputId": "2a9fd8de-c649-4eff-c48e-99e9b08e3d1e"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'python'"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"        python        \".strip()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "9bX_0hjyyuHB",
    "outputId": "cdc00165-d9fe-49ac-b250-b3f218bddd1a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'San Francisco'"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_ville(\"760 Church St, San Francisco, CA 94016\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "id": "l8mIGHUCxrTB"
   },
   "outputs": [],
   "source": [
    "df_clean['ville'] = df_clean['Purchase Address'].apply(get_ville)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 406
    },
    "id": "I9KOLVviyY9n",
    "outputId": "7f8c4b2e-94fd-4ccb-b72d-42812ebf79d2"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>chiffre_daffaire</th>\n",
       "      <th>ville</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Order Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-10-14 18:17:00</th>\n",
       "      <td>272781</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>2</td>\n",
       "      <td>3.84</td>\n",
       "      <td>803 8th St, Dallas, TX 75001</td>\n",
       "      <td>October</td>\n",
       "      <td>7.68</td>\n",
       "      <td>Dallas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-02-22 16:32:00</th>\n",
       "      <td>158087</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>3.84</td>\n",
       "      <td>735 13th St, Los Angeles, CA 90001</td>\n",
       "      <td>February</td>\n",
       "      <td>3.84</td>\n",
       "      <td>Los Angeles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-09 18:39:00</th>\n",
       "      <td>185607</td>\n",
       "      <td>20in Monitor</td>\n",
       "      <td>1</td>\n",
       "      <td>109.99</td>\n",
       "      <td>136 12th St, Los Angeles, CA 90001</td>\n",
       "      <td>April</td>\n",
       "      <td>109.99</td>\n",
       "      <td>Los Angeles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-05-16 09:32:00</th>\n",
       "      <td>206126</td>\n",
       "      <td>27in FHD Monitor</td>\n",
       "      <td>1</td>\n",
       "      <td>149.99</td>\n",
       "      <td>422 Church St, New York City, NY 10001</td>\n",
       "      <td>May</td>\n",
       "      <td>149.99</td>\n",
       "      <td>New York City</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-13 21:47:00</th>\n",
       "      <td>145401</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>953 Sunset St, Los Angeles, CA 90001</td>\n",
       "      <td>January</td>\n",
       "      <td>99.99</td>\n",
       "      <td>Los Angeles</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Order ID                     Product  Quantity Ordered  \\\n",
       "Order Date                                                                   \n",
       "2019-10-14 18:17:00   272781       AA Batteries (4-pack)                 2   \n",
       "2019-02-22 16:32:00   158087       AA Batteries (4-pack)                 1   \n",
       "2019-04-09 18:39:00   185607                20in Monitor                 1   \n",
       "2019-05-16 09:32:00   206126            27in FHD Monitor                 1   \n",
       "2019-01-13 21:47:00   145401  Bose SoundSport Headphones                 1   \n",
       "\n",
       "                     Price Each                        Purchase Address  \\\n",
       "Order Date                                                                \n",
       "2019-10-14 18:17:00        3.84            803 8th St, Dallas, TX 75001   \n",
       "2019-02-22 16:32:00        3.84      735 13th St, Los Angeles, CA 90001   \n",
       "2019-04-09 18:39:00      109.99      136 12th St, Los Angeles, CA 90001   \n",
       "2019-05-16 09:32:00      149.99  422 Church St, New York City, NY 10001   \n",
       "2019-01-13 21:47:00       99.99    953 Sunset St, Los Angeles, CA 90001   \n",
       "\n",
       "                        Month  chiffre_daffaire          ville  \n",
       "Order Date                                                      \n",
       "2019-10-14 18:17:00   October              7.68         Dallas  \n",
       "2019-02-22 16:32:00  February              3.84    Los Angeles  \n",
       "2019-04-09 18:39:00     April            109.99    Los Angeles  \n",
       "2019-05-16 09:32:00       May            149.99  New York City  \n",
       "2019-01-13 21:47:00   January             99.99    Los Angeles  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "05Cct63gzb68",
    "outputId": "94f4c19c-b4f7-495b-ef37-380560109912"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['New York City', 'San Francisco', 'Dallas', 'Atlanta', 'Boston',\n",
       "       'Seattle', 'Los Angeles', 'Portland', 'Austin'], dtype=object)"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean['ville'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "lbsRQaUczjBx",
    "outputId": "6f798d7b-4e8c-4e3b-e850-215f425fd517"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ville\n",
       "San Francisco    8.124121e+06\n",
       "Los Angeles      5.354040e+06\n",
       "New York City    4.581659e+06\n",
       "Boston           3.604081e+06\n",
       "Atlanta          2.741642e+06\n",
       "Dallas           2.717794e+06\n",
       "Seattle          2.693049e+06\n",
       "Portland         2.276649e+06\n",
       "Austin           1.786746e+06\n",
       "Name: chiffre_daffaire, dtype: float64"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.groupby('ville').sum()[\"chiffre_daffaire\"].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fea82622f50>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_clean.groupby('ville').sum()[\"chiffre_daffaire\"].sort_values(ascending=False).plot.barh(figsize=(10, 8))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "LNiDb5xz0dJR"
   },
   "source": [
    "On a fait un meilleur chiffre d'affaire à San Francisco"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "id": "IPyBjQW40SZS"
   },
   "outputs": [],
   "source": [
    "ca_by_ville = df_clean.groupby('ville').sum()[\"chiffre_daffaire\"].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 463
    },
    "id": "7rVZ-ThA0wbD",
    "outputId": "ec581ca1-43ef-4435-b46b-d9363d21d0e4"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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0juXXRwPPBH5Ybm8D/BRIgo6IiKhJv/Wg9wWQdDawse0by+01KYZeRURERE2q9OJ+3FhyLt0ErFNTPBEREUG1Xtw/kPRd4IRye3fg+/WFFBEREVV6cb9R0suA55a75ts+td6wIiIiRluVEjRlQk5SrsncQ8+s9frXHLVDrdePiIilL6tZRUREtFASdERERAtNKUFLeqSkTesKJiIiIgpV1oM+V9JsSY8CLgaOkfTR+kOLiIgYXVVK0KvYvhPYBfiy7WcAL6g3rIiIiNFWJUEvW84ethtwRs3xREREBNUS9HuB7wK/s/0LSesBv603rIiIiNFWZaKSE4ETe7b/APxbnUFFRESMukkTtKQ5wOuAub3vt/2a+sKKiIgYbVVmEvs28GOK+bfvn8rFJV0DLCrPu8/2vKkGGBERMYqqJOgVbL99BvfYxvYtMzg/IiJi5FTpJHaGpO1rjyQiIiIeVCVBH0SRpP8uaVH5urPi9Q2cLekiSftPP8yIiIjRUqUX98ozuP6zbd8g6dHA9yT92vZ5vW8oE/f+AOuss84MbhURETE8Ks3FLWknSf9dvl5S9eK2byi/3kyxXOXTJ3jPfNvzbM+bM2dO1UtHREQMtSpzcR9FUc19Zfk6SNIHK5y3oqSVx74H/gW4fGbhRkREjIYqvbi3Bza3/QCApC8BlwCHTXLeGsCpksbu8zXbZ80g1oiIiJFRJUEDrArcVn6/SpUTyhnHNptOUBEREaOuSoL+IHCJpHMAAc8FDq01qoiIiBFXpRf3CZLOBZ5W7nq77T/XGlVERMSIW2InMUkblV+3BNYEri9fa5X7IiIioib9StBvplgk4yMTHDOwbS0RRURExJITtO3XlV+3GVw4ERERAX0StKRd+p1o+5SlH05ERERA/yruHfscM5AEHRERUZN+Vdz7DjKQiIiIWKxfFfch/U60/dGlH05ERERA/yrumaxiFRERETPQr4r7yEEGEhEREYv1q+J+m+0PSfoURaewh7B9YK2RRafMPfTM2u9xzVE71H6PiIi26FfFfVX5dcEgAomIiIjF+lVxn15+/dLgwomIiAjoX8V9Wr8Tbe+09MOJiIgI6F/FvTVwHXACcAHFUpMRERExAP0S9GOAFwJ7AK8EzgROsH3FIAKLiIgYZUtcbtL2/bbPsv1qYCvgd8C5kt44sOgiIiJGVL8SNJIeAexAUYqeC3wSOLX+sCIiIkZbv05iXwY2Ab4DHGn78oFFFRERMeL6laD3Au4CDgIOlB7sIybAtmfXHFtERMTI6jcOeont0xEREVGvJOGIiIgWSoKOiIhooSToiIiIFkqCjoiIaKFJE7SkXST9VtIdku6UtEjSnYMILiIiYlT1naik9CFgR9tXTfrOiIiIWCqqVHHflOQcERExWFVK0AskfQP4FnDP2E7bp1S5gaRlgAXADbZfMq0oIyIiRkyVBD0buBv4l559BiolaIqZyK4qrxMREREVTJqgbe873YtLWptisY3/BA6Z7nUiIiJGTZVe3BtI+oGky8vtTSW9q+L1Pw68DXhgBjFGRESMnCqdxI4BDgPuBbB9GfCKyU6S9BLgZtsXTfK+/SUtkLRg4cKFFcKJiIgYflUS9Aq2Lxy3774K5z0L2EnSNcDXgW0lfWX8m2zPtz3P9rw5c+ZUuGxERMTwq5Kgb5G0PkXHMCS9HLhxspNsH2Z7bdtzKUrcP7S910yCjYiIGBVVenH/BzAf2EjSDcDVwJ61RhURETHiqvTi/gPwAkkrArNsL5rqTWyfC5w75egiIiJGVJUSNAC276ozkIiIiFgsq1lFRES0UBJ0REREC1WZqGQFSe+WdEy5/cRyjHNERETUpEoJ+jiKRTK2LrdvAN5fW0QRERFRKUGvb/tDLJ5J7G5AtUYVEREx4qok6H9IWp7FE5WsT8+ykxEREbH0VRlmdThwFvA4SV+lmMJznzqDioiIGHV9E7SkWcAjgV2ArSiqtg+yfcsAYouIiBhZfRO07Qckvc32N4EzBxRTRETEyKtSxf19SW8BvgE8OJuY7dtqiyqiIXMPrf9z6DVH7VD7PSKi+6ok6N3Lr//Rs8/Aeks/nIiIiIBqi2U8fhCBRERExGJLTNCStrX9Q0m7THTc9in1hRURETHa+pWgnwf8ENhxgmMGkqAjIiJqssQEbfvw8uu+gwsnIiIioOJ60JJ2AJ4MLDe2z/Z76woqIiJi1FVZzeqzFD25D6CYqGRXYN2a44qIiBhpVebifqbtVwF/sX0kxapWG9QbVkRExGirkqD/Xn69W9JaFKtarVlfSBEREVGlDfp0SasCHwYupujBfUytUUVERIy4fuOgd7V9IvAV27cDJ0s6A1jO9h0DizAiImIE9aviPqz8evLYDtv3JDlHRETUr18V922SzgbWk3Ta+IO2d6ovrIiIiNHWL0FvD2wJHA98ZDDhREREBPRP0Mfa3lvSMbZ/NLCIIiIiom8b9FPLYVV7SnqkpEf1vgYVYERExCjqV4L+LPADinWfL6KYRWxM1oOOiIio0RJL0LY/aftJwBdsr2f78T2vJOeIiIgaTTpRie1/B5D0aB66WMYfa4wrIiJipFVZLGNHSb8FrgZ+BFwD/G+F85aTdKGkX0q6QtKRM442IiJiRFSZi/v9wFbA/9l+PLAd8PMK590DbGt7M2Bz4EWStpp2pBERESOkSoK+1/atwCxJs2yfA8yb7CQX/lpuPqx8efqhRkREjI4qi2XcLmkl4Dzgq5JuBu6qcnFJy1D0AH8C8GnbF0zwnv2B/QHWWWedqnFHREQMtSol6J2BvwFvAs4Cfg/sWOXitu+3vTmwNvB0SZtM8J75tufZnjdnzpzqkUdERAyxKr24e0vLX5rOTWzfLukc4EXA5dO5RkRExCjpt9zkIvq0Gdue3e/CkuZQtF/fLml54IXAf0030IiIiFGyxARte2UASe8DbqRYNEPAnsCaFa69JvClsh16FvBN22fMOOKIiIgRUKWT2E7lUKkxn5H0S+A9/U6yfRmwxUyCi4iIGFVVOondJWlPSctImiVpTyr24o6IiIjpqZKgXwnsBtxUvnYt90VERERNqvTivoZiqFVEREQMSJUSdERERAxYlU5iEdEhcw89s/Z7XHPUDrXfI2LUJUFHRCvlg0aMukkTtKQ1gA8Aa9l+saSNga1tH1t7dBERHVf3B418yBheVdqgvwh8F1ir3P4/4OC6AoqIiIhqCXp1298EHgCwfR9wf61RRUREjLiqE5WsRjkvt6StgDtqjSoiImLEVekkdghwGrC+pPOBOcDLa40qIiJixPVN0OVCF88rXxtSLJbxG9v3DiC2iIiIkdW3itv2/cAetu+zfYXty5OcIyIi6lelivt8SUcD36BnkQzbF9cWVURExIirkqA3L7++t2efgW2XfjgREREBfRK0pINsfwJ4t+2fDDCmiIiIkdevDXrf8usnBxFIRERELNavivsqSb8FHivpsp79Amx703pDi4iIGF1LTNC295D0GIppPncaXEgRERHRrw36B7a3k/Rd29cOMqiIiIhR16+Ke01JzwR2lHQCRdX2gzLMKiIioj79EvR7gHcDawMfHXcsw6wiIiJq1K8N+iTgJEnvtv2+AcYUEREtUvea1pB1rSfSrw16I9u/Bs6UtOX446nijoiIqE+/Ku5DgP2Bj0xwLFXcERERNepXxb1/+XWbwYUTERERUG0ubsre3HN732/7yzXFFBERMfImTdCSjgfWBy4F7i93G0iCjoiIqEmVEvQ8YGPbrjuYiIiIKPRbLGPM5cBjpnphSY+TdI6kKyVdIemgqYcXERExmvoNszqdoip7ZeBKSRcC94wdtz3Z/Nz3AW+2fbGklYGLJH3P9pVLIe6IiIih1q+K+79ncmHbNwI3lt8vknQV8FggCToiImIS/RL0DcAats/v3Snp2ZSJtypJc4EtgAumGF9ERMRI6tcG/XHgzgn231Eeq0TSSsDJwMG2/+l6kvaXtEDSgoULF1a9bERExFDrl6DXsP2r8TvLfXOrXFzSwyiS81dtnzLRe2zPtz3P9rw5c+ZUuWxERMTQ65egV+1zbPnJLixJwLHAVbbHr4YVERERffRL0AskvW78TkmvBS6qcO1nAXsD20q6tHxtP804IyIiRkq/TmIHA6dK2pPFCXke8HDgZZNd2PZPAM04woiIiBHUb7GMm4BnStoG2KTcfabtHw4ksoiIiBE26VSfts8BzhlALBEREVGqMtVnREREDFil5SYjIiK6bu6hZ9Z+j2uO2mGpXSsl6IiIiBZKgo6IiGihJOiIiIgWSoKOiIhooSToiIiIFkqCjoiIaKEk6IiIiBZKgo6IiGihJOiIiIgWSoKOiIhooSToiIiIFkqCjoiIaKEk6IiIiBZKgo6IiGihJOiIiIgWSoKOiIhooSToiIiIFkqCjoiIaKEk6IiIiBZKgo6IiGihJOiIiIgWSoKOiIhooSToiIiIFkqCjoiIaKEk6IiIiBaqLUFL+oKkmyVdXtc9IiIihlWdJegvAi+q8foRERFDq7YEbfs84La6rh8RETHM0gYdERHRQo0naEn7S1ogacHChQubDiciIqIVGk/Qtufbnmd73pw5c5oOJyIiohUaT9ARERHxz+ocZnUC8DNgQ0nXS9qvrntFREQMm2XrurDtPeq6dkRExLBLFXdEREQLJUFHRES0UBJ0RERECyVBR0REtFASdERERAslQUdERLRQEnREREQLJUFHRES0UBJ0RERECyVBR0REtFASdERERAslQUdERLRQEnREREQLJUFHRES0UBJ0RERECyVBR0REtFASdERERAslQUdERLRQEnREREQLJUFHRES0UBJ0RERECyVBR0REtFASdERERAslQUdERLRQEnREREQLJUFHRES0UBJ0RERECyVBR0REtFASdERERAvVmqAlvUjSbyT9TtKhdd4rIiJimNSWoCUtA3waeDGwMbCHpI3rul9ERMQwqbME/XTgd7b/YPsfwNeBnWu8X0RExNCoM0E/FriuZ/v6cl9ERERMQrbrubD0cuBFtl9bbu8NPMP2G8e9b39g/3JzQ+A3tQRUWB24pcbrD0qeoz2G4RlgOJ5jGJ4B8hxtMohnWNf2nIkOLFvjTW8AHtezvXa57yFszwfm1xjHgyQtsD1vEPeqU56jPYbhGWA4nmMYngHyHG3S9DPUWcX9C+CJkh4v6eHAK4DTarxfRETE0KitBG37PklvBL4LLAN8wfYVdd0vIiJimNRZxY3t7wDfqfMeUzSQqvQByHO0xzA8AwzHcwzDM0Ceo00afYbaOolFRETE9GWqz4iIiBZKgo6IiGihkUjQklaStFLTcSwNkh4padOm45gOSR+R9OSm44iI6IKhTtCSniLpEuAK4EpJF0napOm4pkrSuZJmS3oUcDFwjKSPNh3XNFwFzJd0gaQ3SFql6YBGnaRHS1pn7NV0PFMlaX1Jjyi/f76kAyWt2nRcEUvDUHcSk/RT4J22zym3nw98wPYzGw1siiRdYnsLSa8FHmf7cEmX2e5qSXpDYF9gD+B84Jix/6MuKBPCvwFz6RkJYfu9TcU0VZJ2Aj4CrAXcDKwLXGW7UzUcki4F5lH8X3wH+DbwZNvbNxnXVElaAXgzsI7t10l6IrCh7TMaDq0SSYf0O267EwUKSRsAb6X4fej93d62iXhqHWbVAiv2/uG3fa6kFZsMaJqWlbQmsBvwzqaDmYlylbONytctwC+BQyS93vYrGg2uum8DdwAXAfc0HMt0vQ/YCvh++eFvG2CvhmOajgfKORdeBnzK9qfKWrOuOY7i52nrcvsG4ESgEwkaWLn8uiHwNBZPSrUjcGEjEU3PicBngWOA+xuOZegT9B8kvRs4vtzeC/hDg/FM13spJnw53/YvJK0H/LbhmKZM0seAlwA/pKjJGPvF/S9Jdc7BvrStbftFTQcxQ/favlXSLEmzbJ8j6eNNBzUN90raA3g1RTIAeFiD8UzX+rZ3L58F23dLUtNBVWX7SABJ5wFb2l5Ubh8BnNlgaFN1n+3PNB3EmGFP0K8BjgROAQz8uNzXKbZPpPhkN7b9B4oq1q65DHiX7bsmOPb0QQczAz+V9BTbv2o6kBm4vew4eR7wVUk3AxP9v6w3CEAAABQUSURBVLTdvsAbgP+0fbWkx7P4A3mX/EPS8hR/p5C0Pt2snVkD+EfP9j/KfV1xuqT/B5xKz7+/7duaCGao26CHRdku8hlgDdublL24d7L9/oZDmxJJP7C93WT72k7SlcATgKspfokFuEt9Asqmnr9RdBTdE1gF+EpTf4hGnaQXAu8CNgbOBp4F7GP73CbjmipJ76Roiju13PVS4Ju2P9BcVNVJunqC3ba93sCDYcgTtKTvAbvavr3cfiTwddv/2mxkUyPpRxQdFz5ne4ty3+W2O9EjXdJywArAOcDzKRIawGzgLNsbNRTatEhad6L9tq8ddCzTJem/bL99sn1tV3am+iBFYltubH9Tf1BnQtJqFP0CBPzcdieXapT0VODZ5eZ5trvYJ6AVhr2Ke/Wx5Axg+y+SHt1kQNO0gu0LxzVJ3ddUMNPweuBgih7DF/fsvxM4upGIZsD2tZI2A55T7vqx7V82GdM0vBAYn4xfPMG+tjsOOBz4GLANRZV3Z4aPStpy3K4by6/rSFrH9sXjz+mASymeY1mA8jn+2GxI/Una1vYPJe0y0XHbpww6Jhj+BP1A7w9HWfLpYpXBLWWb1Fj71MtZ/IvcerY/AXxC0gG2P9V0PDMl6SDgdRR9GwC+Iml+F55N0r8D/w9YT9JlPYdWphjy1jXL2/6BJJU1GEdIugh4T9OBVfSRPscMNDK8Z7okHUDxgekmil7QoniOtjf/PI+i8+qOExwzi3/XB2rYq7hfRLEayY8oflCeA+xv+7uNBjZFZa/t+cAzgb9QtH3uZfuaJuOqqq2fTqerTGxbj3V2K9tzf9aFNuhycphHUlQLH9pzaFEX25/LuQ6eDZxE8Qf2BuAo2xs2GtgUSVrO9t8n29d2kn4HPMP2rU3HMh2SHm/76sn2DSyeYU7QAJJWp2jXgQ6368CDiWDW2BCGrpB0ZDm5ynETHLbtTvWsl/Qr4GljfzzLNvZf2H5Ks5FNTTkmfQ0eOiFDq6six5P0NIoZ6lalGNu9CvAh2z9vNLApknSx7S0n29d2ks4BXmi7S01wD1rC/8NFtp/aRDxDXcUt6VnApbbPkLQX8A5Jn+hKZ54lzc4z1hbdldl5bB9eft236ViWkuOACyT19lT9QoPxTJmkNwJHUFRFPlDu7kJV5EPY/kX57V8p2p87RdJjgMcCy0vagod2oFyhscCm7w/AuZLO5KHDlFr9t0rSRsCTgVXG1fTNpqfz4aANdYKmGJq0Wdmh5xDgWODLFO0NXbDy5G9pv/KDxh22jx23fz9gZdudmiDD9kclncvinqr7drCn6sEUU0l2tSrydPr0J7G90wDDmYl/BfYB1qZojx5L0HcC72goppn4Y/l6ePnqig0pJlFalYe2Qy+i6G/SiKGu4h6rrpD0HuAG28d2sdqo68pOO1vZvnfc/ocDC7rQdttL0vG2955sX5sNQVVk3w/Ztn80qFiWBklvs/2hcfsaa/scVZK2tv2zpuMYM+wl6EWSDqOY4vO5kmbRwWkAh2CikmXHJ2cA2//o0nSGPR6yoETZlttIG9UMdLIqckzXEnAFrwA+NG7fSXTs50rSHOBtFL8jvePSu9Ib/WWSrqCYxOcsiiafN9n+ShPBdGa84DTtTvHHZz/bf6aoRvpwsyFNyzHAYcC9ALYvo/iF7opZkv5pur+J9rWZpMMkLQI2lXRn+VpEsRrUtxsOb6r+CHyPohpy5Z5XJ0j6laTLlvRqOr6qJG0k6d8o2z57XvvQYNvnDHwV+DXweIpplq8BftHvhJb5F9t3UlR3X0MxY+BbmwpmqEvQZVL+aM/2HynaoLum6xOVfBg4U9KbWTxRyVPL/f/dWFRTZPuDwAclfdD2YU3HMxNjixt02EuaDmApaWXb5wysVjYlHlTWcvxIUpcS9FgN6w7AibbvaLKSbygTtKSf2H52WbrpbWQfmzN5dkOhTVfXJyr5sqSFFKtybULxHFcA77H9v40GNz1nSFrR9l3l6IAtgc6MDoDuV0V26d+6H9vfBr7dtrbPGRhryrpR0g7An4BHNRjPVJ0u6dcUVdz/Xv6eNDYWfag7iQ2Lrk9UMmzKKtTNKNqnvgh8HtjNdldGByDpbOAbwFsoVoN6NbCwg3NxbwV8CngSRXX9MsBdXfsQXo6l349//sDUtTkCXkKxauDjKP5fZgNH2j6t74ktIulRFKNO7pe0AjC7rI0dfCzDnKDLX94rvHht0pWBjW1f0Gxk09PViUqGzTCMDhibfEHSZWO96CX9wvbTmo5tKiQtoOiPcSIwD3gVsEHXmiAknUjRdvtKipqmPYGrbB/UaGAjRtKrJtpvu5Gm0aGs4u7xGYrqxzF3TbCv9cZPWFK2idwBXGT70kaCGm1jowP2Bp7T0dEBXa+KfJDt30laxvb9wHGSLqHoVNklT7C9q6SdbX9J0tcoSqKdIOlT9B+XfuAAw5mJ3g+oywHbUfSbSYKugdxTRWD7AUldfOZ55ev0cvslwGXAGySdOH78ZFtJeoTte8bte1QH54DenaKk8xrbf5a0Dt0bHfB+FfNyv5nFVZFvajakabm7HE9/qaQPUfTN6OLolLEPTLdL2gT4M9CllfcWNB3A0mD7gN5tSasCX28onKGv4j4FOJei1AzFKj7b2H5pY0FNg6TzgO1t/7XcXgk4E3gRRSl64ybjq6occ/vSsTHRktYEzmhqntuZKIeIjX3avtD2zU3GM6pUrFB3E0X785so5uL+H9u/azSwKZL0WuBkin4NxwErUXSi/GyjgU2RpF1tnzjZvq6Q9DCKZtINGrn/kCfoRwOfpFiyzcAPgIO79se07FX4lJ7E9gjgl7Y3knSJ7S2ajbAaSa8DtgdeTtGJ5DTgLbbPbjSwKZK0G0WJ+VwWr5L2VtsnNRlXFUNUFfmgsqctthc2Hcuom6gvRpf6Z4ybQnYZis6H37R96JLPqk8Xq3srKxNxlyb0WJKvUizOMDYZxo7A18pOY1c2F9bU2D6mrI78FjAXeL3tnzYb1bS8k2I1q5vhwQTxfYqZn9puKKoiyxnoDgfeSFGlLUn3AZ+y/d5Gg5uGskbmA8Batl8saWOKJU2PneTUVpD0YooP34+V9MmeQ7Pp1pwNvfMy3EeRpHdvKJahL0HPoRjsP5eHLqnXqaEL8OCyes8sN8+33Zk/tOM6uYmip+1lwCXQneklx0j6lXuWliw7if3SHVpusutVkeXP1Isp1ne/uty3HkVz1lm2P9ZkfFMl6X8pqrbfaXuzsq/MJV35mVKxINHmFD3Q39NzaBFwju2/NBLYNKhYVeyVwK4UQ1pPtn10I7EMeYL+KUVPyIuA+8f22z65saCmSR1eu1fS4f2Od21WK0kfpmgrPKHctTtwWZfGEA9BVeQlFIt93DJu/xzg7K40+4wZG+LW22Ql6VLbmzcdW1Xl36jjbb+y6VimSsV6B3uUr1so5wiwvW6TcQ11FTfFFJmd+aO5JJIOoKjOu4nig4bo0Nq9to8sf3n/y/Zbmo5npmy/VcWasWPLTc63fWq/c9qiT1XkyizuSdwFDxufnKFohy479nTNXZJWY/FsgVtRDKXsjHJij8dJerjtfzQdzxT9mqIw95KxDoaSGh/VMOwJ+gxJ29v+TtOBzNBBdHjtXnjwl/dZTcextNg+BThF0upAl/5f/kRRo7RT+XXMusDdjUQ0Pf0SQNeSAxTr1Z8GrC/pfGAORWfKrrkaOF/SaRTzTgCdaMbahaK/0jmSzqIYWtX4SnvDXsW9CFiRYkWre+noXNzq+Nq9YyR9BngsxaxPvb+8pzQW1BSUpZqjgNuA9wHHA6tTdFJ6le2zGgxvSspS5ia0pK1tqiTdT8/PUO8hYDnbnShFl31LrivH0y8LvB74N4rOn+/p2hwBS2rO6kozVtnxdmeKqu5tKSYoObWpkSZDnaCHhaRjKVa96eTavWMkHTfBbnel0145reQ7KMbazgdebPvnkjYCTuhCu2db29pGlaSLgRfYvk3ScylKbgdQdLh6ku0ulqLH5mpgbO6GLpL0SIoPr7vb3q6RGIY9QZf/yE/koRPQn9dcRFO3hE+l7uJwki7r7bQj6SrbT+o51onx6JIeoGhr26+nre0PttdrNrLRJOmXtjcrv/80xYIlR5TbneokBlDOgnY8i6eNvYWidumK5qLqrqFugy5n5zkIWBu4FNgK+BlF1UVnjK8eUrHyzY5LeHtrSVqbYlrJsbboHwMH2b6+uaim5IGe7/827lhXPum2sq1thC0jadmy+Wo7YP+eY138+zwfOMT2OQCSng8cw+IhojEFXZyzdioOopiO8Vrb2wBbALc3G9L0SFpG0vaSjgeuocHB8zNwHEVHmLXK1+nlvq7YTNKdZd+GTcvvx7Y7MV7V9rdsvwLYCDgHOBh4tKTPSPqXZqMbSScAPyonIfob5QIZkp5Ax3pxl1YcS84Ats+l6AcU0zDUVdw9YwsvBZ5h+x5JV9h+ctOxVSXpeRQdebYHLqQofa5nu0s9boGJq+y6WI03bNrQ1jbKys6Ha1KM376r3LcBsJLtixsNbooknUqx+tPx5a69gKfafllzUXVXF6tQpuJ6FauRfAv4nqS/ANc2HFNlkq4H/kgxO9JbbC+SdHUXk3PpVkl7sXiCjz3o1hCloVTO8jS/fMWA2f75BPv+r4lYloLXAEcCp1A0+/y43BfTMNQl6F5lSXQVimkAOzFOUtLHgZcClwNfA74N/KprHXrK4VVvBx5J0Qa9NcUv70+BA7syI1pETKzsF/MG4AnAr4AvjC3uE9M3tAm6nLnqCtsbNR3LTJSLAjyforS5PcWHjP2A73RlCIOkt1J0fjnc9teajicili5J36CYa+LHFHOkX2P74Gaj6r6hTdAAZceLA4alhFZOLvGvFMn6X22v3nBIlUl6LPBRYDXgs/T0iO7KRCURMbHeBWTKCVcu7Mq87m027G3QjwSukHQhD525aqfmQpq+ssroDIopTJdvOp6psH2DpDOB/6QYIjaWoE3RXhUR3fVgdbbt+4qKv5ipoUzQPeMK3910LHWxPX4cbmtJejJFR7c/AU+3fWPDIUXE0rWZpDvL7wUsX253cnrlthjKKu7eZfMkfcr2AU3HNMokXUUxIUkj89lGRHTRUJageejMSEOzghKApFkU4yPvnPTN7bG57Xsmf1tERIwZ1pnEhqpaQNLXJM0uV1q5HLiy7BndCUnOERFTN6xV3HcDv6MoSa9ffg+L20M2bSq26RibbUvSnsCWwKHARV17joiIqG5Yq7ifNPlbOuVh5RCrlwJH275XUuc+WUnaDvhplzq4RUQ0ZSgTtO3OTOdZ0ecoFsj4JXCepHWBLrVBj3kV8BlJt1FMaHAe8JNyqsmIiOgxlFXco6BnKFnnSFoLeDnwFmAt20P5QTEiYibyh7EDJK0CHA48t9z1I+C9dGw5unKhjOdQLM14C3A05fJ6ERHxUClBd4Ckkyl6b3+p3LU3sJntXZqLauok3QL8nmKqz3NsX9NsRBER7TXUCVrSs4AjgHUpagvGenF3bTWooVlHuZxV7LnAs4EnAr+xvXezUUVEtM+wV3EfC7wJuAi4v+FYZuJvkp5t+yfw4AePzvWEljQbWIfiA9NcipW5Huh3TkTEqBr2EvQFtp/RdBwzJWkz4MsUCQ3gL8CrbV/WXFRTJ+ky4Cfl6zzb1zccUkREaw17gj4KWIZitaQHZ7OyfXFjQc1AWQLF9p2SDrb98aZjmg5JK9i+u+k4IiLabNgT9DkT7LbtbQcezFIm6Y+212k6jqmQtDVFs8NKttcpawZeb/v/NRxaRETrDHWCHmaSrrP9uKbjmApJF1CMfz7N9hblvsttb9JsZBER7TPsncSQtAPwZGC5sX2239tcREtNJz9Z2b5u3GLuXe68FxFRm6FO0JI+C6wAbAN8nqL0dmGjQU2BpEVMnIgFLD/gcJaG6yQ9E3A5t/hBwFUNxxQR0UpDXcUt6TLbm/Z8XQn4X9vPaTq2USRpdeATwAsoPmScDRxk+9ZGA4uIaKGhLkGzeKzw3eX8z7cCazYYz0izfQuwZ9NxRER0wbAn6DMkrQp8GLiYorr4mGZDGj2S3tPnsG2/b2DBRER0xFBXcfeS9AhgOdudWmBiGEh68wS7VwT2A1azvdKAQ4qIaL2hTNCSngZcZ/vP5fargH8DrgWOsH1bk/GNMkkrU3QO2w/4JvAR2zc3G1VERPvMajqAmnwO+AeApOcCR1FMlXkHML/BuEaWpEdJej9wGUXTypa2357kHBExsWFtg16mp5S8OzDf9snAyZIubTCukSTpw8AuFB+OnmL7rw2HFBHResNaxX05sLnt+yT9Gtjf9nljxzJz1WBJeoBiLvT7eOi47rHlP2c3ElhERIsNawn6BOBHkm6hGGr1YwBJT6Co5o4Bsj2sTSkREbUZyhI0gKStKMY8n237rnLfBhQLNXRyNauIiBgdQ5ugIyIiuixVjxERES2UBB0REdFCSdARI0bSWpJOKr9/vqQzyu/3kXR0s9FFxJhh7cUdEUtg+08US69GRIulBB0xxCQdJek/eraPkPSWcq6AfufNkXSypF+Ur2fVH21E9EqCjhhu3wB269neDbigwnmfAD5m+2kU89h/vobYIqKPVHFHDDHbl0h6dLke+hzgL8B1FU59AbCxpLHt2ZJWyjStEYOTBB0x/E6kaHN+DEWJuopZwFa2/15bVBHRV6q4I4bfN4BXUCTpEyueczZwwNiGpM1riCsi+kiCjhhytq8AVgZusH1jxdMOBOZJukzSlcAbagswIiaUqT4jIiJaKCXoiIiIFkqCjoiIaKEk6IiIiBZKgo6IiGihJOiIiIgWSoKOiIhooSToiIiIFkqCjoiIaKH/D93LJP3ApzJEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ca_by_ville.plot(kind='bar', figsize=(8, 6))\n",
    "plt.ylabel('Chiffre daffaire en Millions de dollars')\n",
    "plt.title('Chiffre daffaire par Ville')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "L3ZQhuR61dJ9"
   },
   "source": [
    "## A quelle heure devons-nous passer de la publicité pour augmenter nos ventes ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "hU-uHCRv182C"
   },
   "source": [
    "A quelle heure on vend le plus ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "id": "zLlE6Z-m06RZ"
   },
   "outputs": [],
   "source": [
    "df_clean['heure'] = df_clean.index.hour\n",
    "df_clean['time'] = df_clean.index.time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 547
    },
    "id": "x5F6Buln2HV-",
    "outputId": "7b563da8-c2e8-4954-9f8b-2fdd345a7b3b"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>chiffre_daffaire</th>\n",
       "      <th>ville</th>\n",
       "      <th>heure</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Order Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-01-01 03:07:00</th>\n",
       "      <td>147268</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>9 Lake St, New York City, NY 10001</td>\n",
       "      <td>January</td>\n",
       "      <td>11.99</td>\n",
       "      <td>New York City</td>\n",
       "      <td>3</td>\n",
       "      <td>03:07:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 03:40:00</th>\n",
       "      <td>148041</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>760 Church St, San Francisco, CA 94016</td>\n",
       "      <td>January</td>\n",
       "      <td>11.95</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>3</td>\n",
       "      <td>03:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 04:56:00</th>\n",
       "      <td>149343</td>\n",
       "      <td>Apple Airpods Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>150.00</td>\n",
       "      <td>735 5th St, New York City, NY 10001</td>\n",
       "      <td>January</td>\n",
       "      <td>150.00</td>\n",
       "      <td>New York City</td>\n",
       "      <td>4</td>\n",
       "      <td>04:56:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 05:53:00</th>\n",
       "      <td>149964</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>2.99</td>\n",
       "      <td>75 Jackson St, Dallas, TX 75001</td>\n",
       "      <td>January</td>\n",
       "      <td>2.99</td>\n",
       "      <td>Dallas</td>\n",
       "      <td>5</td>\n",
       "      <td>05:53:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 06:03:00</th>\n",
       "      <td>149350</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>943 2nd St, Atlanta, GA 30301</td>\n",
       "      <td>January</td>\n",
       "      <td>23.90</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>6</td>\n",
       "      <td>06:03:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Order ID                   Product  Quantity Ordered  \\\n",
       "Order Date                                                                 \n",
       "2019-01-01 03:07:00   147268          Wired Headphones                 1   \n",
       "2019-01-01 03:40:00   148041      USB-C Charging Cable                 1   \n",
       "2019-01-01 04:56:00   149343  Apple Airpods Headphones                 1   \n",
       "2019-01-01 05:53:00   149964    AAA Batteries (4-pack)                 1   \n",
       "2019-01-01 06:03:00   149350      USB-C Charging Cable                 2   \n",
       "\n",
       "                     Price Each                        Purchase Address  \\\n",
       "Order Date                                                                \n",
       "2019-01-01 03:07:00       11.99      9 Lake St, New York City, NY 10001   \n",
       "2019-01-01 03:40:00       11.95  760 Church St, San Francisco, CA 94016   \n",
       "2019-01-01 04:56:00      150.00     735 5th St, New York City, NY 10001   \n",
       "2019-01-01 05:53:00        2.99         75 Jackson St, Dallas, TX 75001   \n",
       "2019-01-01 06:03:00       11.95           943 2nd St, Atlanta, GA 30301   \n",
       "\n",
       "                       Month  chiffre_daffaire          ville  heure      time  \n",
       "Order Date                                                                      \n",
       "2019-01-01 03:07:00  January             11.99  New York City      3  03:07:00  \n",
       "2019-01-01 03:40:00  January             11.95  San Francisco      3  03:40:00  \n",
       "2019-01-01 04:56:00  January            150.00  New York City      4  04:56:00  \n",
       "2019-01-01 05:53:00  January              2.99         Dallas      5  05:53:00  \n",
       "2019-01-01 06:03:00  January             23.90        Atlanta      6  06:03:00  "
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "fPncQ-gc2kNx",
    "outputId": "fefeafa5-6415-4ef7-ed0a-12445878d0be"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "heure\n",
       "19    2370005.59\n",
       "12    2269676.91\n",
       "11    2267169.73\n",
       "20    2242856.37\n",
       "18    2176209.65\n",
       "13    2118394.83\n",
       "17    2086082.23\n",
       "14    2045085.42\n",
       "21    2013288.02\n",
       "10    1907179.29\n",
       "15    1900151.56\n",
       "16    1864530.92\n",
       "9     1612498.90\n",
       "22    1578173.21\n",
       "8     1181363.76\n",
       "23    1161803.96\n",
       "7      734595.75\n",
       "0      698694.76\n",
       "1      447663.86\n",
       "6      441523.14\n",
       "2      234191.08\n",
       "5      224313.72\n",
       "4      161350.57\n",
       "3      142976.54\n",
       "Name: chiffre_daffaire, dtype: float64"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.groupby('heure')['chiffre_daffaire'].sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "id": "BJK4a4q55hI6"
   },
   "outputs": [],
   "source": [
    "ca_par_heure = pd.DataFrame(df_clean.groupby('heure')['chiffre_daffaire'].sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 815
    },
    "id": "Avxm6OHH7P4G",
    "outputId": "ee21f7d3-fd7e-4012-9418-f787fd938eff"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>chiffre_daffaire</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>heure</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>698694.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>447663.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>234191.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>142976.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>161350.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>224313.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>441523.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>734595.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1181363.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1612498.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1907179.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2267169.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2269676.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2118394.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2045085.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1900151.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1864530.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2086082.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2176209.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2370005.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2242856.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2013288.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1578173.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1161803.96</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       chiffre_daffaire\n",
       "heure                  \n",
       "0             698694.76\n",
       "1             447663.86\n",
       "2             234191.08\n",
       "3             142976.54\n",
       "4             161350.57\n",
       "5             224313.72\n",
       "6             441523.14\n",
       "7             734595.75\n",
       "8            1181363.76\n",
       "9            1612498.90\n",
       "10           1907179.29\n",
       "11           2267169.73\n",
       "12           2269676.91\n",
       "13           2118394.83\n",
       "14           2045085.42\n",
       "15           1900151.56\n",
       "16           1864530.92\n",
       "17           2086082.23\n",
       "18           2176209.65\n",
       "19           2370005.59\n",
       "20           2242856.37\n",
       "21           2013288.02\n",
       "22           1578173.21\n",
       "23           1161803.96"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ca_par_heure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 290
    },
    "id": "88uUq6X96lO_",
    "outputId": "24a7a02e-7047-47e8-9699-d17c9145344a"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data=ca_par_heure['chiffre_daffaire'])\n",
    "plt.xticks(ticks=range(0, 24))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "9wbU7Rzz70rN"
   },
   "source": [
    "On devrait afficher la publicité entre 10 et 11 et entre 18 et 19."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DVF8OXTk8zdH"
   },
   "source": [
    "## Quels sont les produits qui sont souvent achetés ensemble ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Les produits vendus ensemble ont le même `Order ID`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 547
    },
    "id": "BI4kMGb46Vl-",
    "outputId": "918f1bfe-7c9d-4d11-ec43-c3c25d23d5c8"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>chiffre_daffaire</th>\n",
       "      <th>ville</th>\n",
       "      <th>heure</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Order Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-01-01 03:07:00</th>\n",
       "      <td>147268</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>9 Lake St, New York City, NY 10001</td>\n",
       "      <td>January</td>\n",
       "      <td>11.99</td>\n",
       "      <td>New York City</td>\n",
       "      <td>3</td>\n",
       "      <td>03:07:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 03:40:00</th>\n",
       "      <td>148041</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>760 Church St, San Francisco, CA 94016</td>\n",
       "      <td>January</td>\n",
       "      <td>11.95</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>3</td>\n",
       "      <td>03:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 04:56:00</th>\n",
       "      <td>149343</td>\n",
       "      <td>Apple Airpods Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>150.00</td>\n",
       "      <td>735 5th St, New York City, NY 10001</td>\n",
       "      <td>January</td>\n",
       "      <td>150.00</td>\n",
       "      <td>New York City</td>\n",
       "      <td>4</td>\n",
       "      <td>04:56:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 05:53:00</th>\n",
       "      <td>149964</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>2.99</td>\n",
       "      <td>75 Jackson St, Dallas, TX 75001</td>\n",
       "      <td>January</td>\n",
       "      <td>2.99</td>\n",
       "      <td>Dallas</td>\n",
       "      <td>5</td>\n",
       "      <td>05:53:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 06:03:00</th>\n",
       "      <td>149350</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>943 2nd St, Atlanta, GA 30301</td>\n",
       "      <td>January</td>\n",
       "      <td>23.90</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>6</td>\n",
       "      <td>06:03:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Order ID                   Product  ...  heure      time\n",
       "Order Date                                              ...                 \n",
       "2019-01-01 03:07:00   147268          Wired Headphones  ...      3  03:07:00\n",
       "2019-01-01 03:40:00   148041      USB-C Charging Cable  ...      3  03:40:00\n",
       "2019-01-01 04:56:00   149343  Apple Airpods Headphones  ...      4  04:56:00\n",
       "2019-01-01 05:53:00   149964    AAA Batteries (4-pack)  ...      5  05:53:00\n",
       "2019-01-01 06:03:00   149350      USB-C Charging Cable  ...      6  06:03:00\n",
       "\n",
       "[5 rows x 10 columns]"
      ]
     },
     "execution_count": 128,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Les ventes avec plus d'un produit : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>chiffre_daffaire</th>\n",
       "      <th>ville</th>\n",
       "      <th>heure</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Order Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-01-01 07:29:00</th>\n",
       "      <td>144804</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>628 Lake St, New York City, NY 10001</td>\n",
       "      <td>January</td>\n",
       "      <td>700.00</td>\n",
       "      <td>New York City</td>\n",
       "      <td>7</td>\n",
       "      <td>07:29:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 07:29:00</th>\n",
       "      <td>144804</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>628 Lake St, New York City, NY 10001</td>\n",
       "      <td>January</td>\n",
       "      <td>11.99</td>\n",
       "      <td>New York City</td>\n",
       "      <td>7</td>\n",
       "      <td>07:29:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 11:25:00</th>\n",
       "      <td>148074</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>6 Johnson St, Atlanta, GA 30301</td>\n",
       "      <td>January</td>\n",
       "      <td>11.95</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>11</td>\n",
       "      <td>11:25:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 11:25:00</th>\n",
       "      <td>148074</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>6 Johnson St, Atlanta, GA 30301</td>\n",
       "      <td>January</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>11</td>\n",
       "      <td>11:25:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 12:02:00</th>\n",
       "      <td>148450</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>761 Lakeview St, Dallas, TX 75001</td>\n",
       "      <td>January</td>\n",
       "      <td>700.00</td>\n",
       "      <td>Dallas</td>\n",
       "      <td>12</td>\n",
       "      <td>12:02:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 12:02:00</th>\n",
       "      <td>148450</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>761 Lakeview St, Dallas, TX 75001</td>\n",
       "      <td>January</td>\n",
       "      <td>14.95</td>\n",
       "      <td>Dallas</td>\n",
       "      <td>12</td>\n",
       "      <td>12:02:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 12:51:00</th>\n",
       "      <td>144679</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>984 Lakeview St, San Francisco, CA 94016</td>\n",
       "      <td>January</td>\n",
       "      <td>600.00</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>12</td>\n",
       "      <td>12:51:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 12:51:00</th>\n",
       "      <td>144679</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>984 Lakeview St, San Francisco, CA 94016</td>\n",
       "      <td>January</td>\n",
       "      <td>11.95</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>12</td>\n",
       "      <td>12:51:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 12:57:00</th>\n",
       "      <td>147451</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>229 Elm St, New York City, NY 10001</td>\n",
       "      <td>January</td>\n",
       "      <td>600.00</td>\n",
       "      <td>New York City</td>\n",
       "      <td>12</td>\n",
       "      <td>12:57:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 12:57:00</th>\n",
       "      <td>147451</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>229 Elm St, New York City, NY 10001</td>\n",
       "      <td>January</td>\n",
       "      <td>11.99</td>\n",
       "      <td>New York City</td>\n",
       "      <td>12</td>\n",
       "      <td>12:57:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 13:29:00</th>\n",
       "      <td>143738</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>462 Cedar St, Boston, MA 02215</td>\n",
       "      <td>January</td>\n",
       "      <td>700.00</td>\n",
       "      <td>Boston</td>\n",
       "      <td>13</td>\n",
       "      <td>13:29:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 13:29:00</th>\n",
       "      <td>143738</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>462 Cedar St, Boston, MA 02215</td>\n",
       "      <td>January</td>\n",
       "      <td>14.95</td>\n",
       "      <td>Boston</td>\n",
       "      <td>13</td>\n",
       "      <td>13:29:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 13:51:00</th>\n",
       "      <td>142112</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>625 Elm St, Boston, MA 02215</td>\n",
       "      <td>January</td>\n",
       "      <td>99.99</td>\n",
       "      <td>Boston</td>\n",
       "      <td>13</td>\n",
       "      <td>13:51:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 13:51:00</th>\n",
       "      <td>142112</td>\n",
       "      <td>20in Monitor</td>\n",
       "      <td>1</td>\n",
       "      <td>109.99</td>\n",
       "      <td>625 Elm St, Boston, MA 02215</td>\n",
       "      <td>January</td>\n",
       "      <td>109.99</td>\n",
       "      <td>Boston</td>\n",
       "      <td>13</td>\n",
       "      <td>13:51:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 14:12:00</th>\n",
       "      <td>147198</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>858 13th St, Austin, TX 73301</td>\n",
       "      <td>January</td>\n",
       "      <td>11.95</td>\n",
       "      <td>Austin</td>\n",
       "      <td>14</td>\n",
       "      <td>14:12:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 14:12:00</th>\n",
       "      <td>147198</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>858 13th St, Austin, TX 73301</td>\n",
       "      <td>January</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Austin</td>\n",
       "      <td>14</td>\n",
       "      <td>14:12:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 17:57:00</th>\n",
       "      <td>149546</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>223 Jefferson St, Boston, MA 02215</td>\n",
       "      <td>January</td>\n",
       "      <td>99.99</td>\n",
       "      <td>Boston</td>\n",
       "      <td>17</td>\n",
       "      <td>17:57:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 17:57:00</th>\n",
       "      <td>149546</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>3.84</td>\n",
       "      <td>223 Jefferson St, Boston, MA 02215</td>\n",
       "      <td>January</td>\n",
       "      <td>3.84</td>\n",
       "      <td>Boston</td>\n",
       "      <td>17</td>\n",
       "      <td>17:57:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 18:29:00</th>\n",
       "      <td>146471</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>134 Center St, Seattle, WA 98101</td>\n",
       "      <td>January</td>\n",
       "      <td>11.99</td>\n",
       "      <td>Seattle</td>\n",
       "      <td>18</td>\n",
       "      <td>18:29:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 18:29:00</th>\n",
       "      <td>146471</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>134 Center St, Seattle, WA 98101</td>\n",
       "      <td>January</td>\n",
       "      <td>11.95</td>\n",
       "      <td>Seattle</td>\n",
       "      <td>18</td>\n",
       "      <td>18:29:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 20:13:00</th>\n",
       "      <td>141789</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>903 Lake St, Seattle, WA 98101</td>\n",
       "      <td>January</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Seattle</td>\n",
       "      <td>20</td>\n",
       "      <td>20:13:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 20:13:00</th>\n",
       "      <td>141789</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>903 Lake St, Seattle, WA 98101</td>\n",
       "      <td>January</td>\n",
       "      <td>23.90</td>\n",
       "      <td>Seattle</td>\n",
       "      <td>20</td>\n",
       "      <td>20:13:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 22:37:00</th>\n",
       "      <td>147444</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>585 Pine St, Atlanta, GA 30301</td>\n",
       "      <td>January</td>\n",
       "      <td>11.95</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>22</td>\n",
       "      <td>22:37:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 22:37:00</th>\n",
       "      <td>147444</td>\n",
       "      <td>Vareebadd Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>400.00</td>\n",
       "      <td>585 Pine St, Atlanta, GA 30301</td>\n",
       "      <td>January</td>\n",
       "      <td>400.00</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>22</td>\n",
       "      <td>22:37:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-02 07:58:00</th>\n",
       "      <td>148067</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>976 Johnson St, Los Angeles, CA 90001</td>\n",
       "      <td>January</td>\n",
       "      <td>700.00</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>7</td>\n",
       "      <td>07:58:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-02 07:58:00</th>\n",
       "      <td>148067</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>976 Johnson St, Los Angeles, CA 90001</td>\n",
       "      <td>January</td>\n",
       "      <td>14.95</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>7</td>\n",
       "      <td>07:58:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-02 08:25:00</th>\n",
       "      <td>141290</td>\n",
       "      <td>Apple Airpods Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>150.00</td>\n",
       "      <td>4 1st St, Los Angeles, CA 90001</td>\n",
       "      <td>January</td>\n",
       "      <td>150.00</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>8</td>\n",
       "      <td>08:25:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-02 08:25:00</th>\n",
       "      <td>141290</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>3</td>\n",
       "      <td>3.84</td>\n",
       "      <td>4 1st St, Los Angeles, CA 90001</td>\n",
       "      <td>January</td>\n",
       "      <td>11.52</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>8</td>\n",
       "      <td>08:25:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-02 09:17:00</th>\n",
       "      <td>149616</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>61 Lincoln St, Atlanta, GA 30301</td>\n",
       "      <td>January</td>\n",
       "      <td>11.95</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>9</td>\n",
       "      <td>09:17:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-02 09:17:00</th>\n",
       "      <td>149616</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>61 Lincoln St, Atlanta, GA 30301</td>\n",
       "      <td>January</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>9</td>\n",
       "      <td>09:17:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 13:51:00</th>\n",
       "      <td>309141</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>564 Wilson St, Atlanta, GA 30301</td>\n",
       "      <td>December</td>\n",
       "      <td>99.99</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>13</td>\n",
       "      <td>13:51:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 13:51:00</th>\n",
       "      <td>309141</td>\n",
       "      <td>ThinkPad Laptop</td>\n",
       "      <td>1</td>\n",
       "      <td>999.99</td>\n",
       "      <td>564 Wilson St, Atlanta, GA 30301</td>\n",
       "      <td>December</td>\n",
       "      <td>999.99</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>13</td>\n",
       "      <td>13:51:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 14:07:00</th>\n",
       "      <td>313631</td>\n",
       "      <td>LG Washing Machine</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>18 Washington St, San Francisco, CA 94016</td>\n",
       "      <td>December</td>\n",
       "      <td>600.00</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>14</td>\n",
       "      <td>14:07:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 14:07:00</th>\n",
       "      <td>313631</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>18 Washington St, San Francisco, CA 94016</td>\n",
       "      <td>December</td>\n",
       "      <td>14.95</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>14</td>\n",
       "      <td>14:07:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 14:40:00</th>\n",
       "      <td>307328</td>\n",
       "      <td>27in FHD Monitor</td>\n",
       "      <td>1</td>\n",
       "      <td>149.99</td>\n",
       "      <td>372 11th St, Dallas, TX 75001</td>\n",
       "      <td>December</td>\n",
       "      <td>149.99</td>\n",
       "      <td>Dallas</td>\n",
       "      <td>14</td>\n",
       "      <td>14:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 14:40:00</th>\n",
       "      <td>307328</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>372 11th St, Dallas, TX 75001</td>\n",
       "      <td>December</td>\n",
       "      <td>99.99</td>\n",
       "      <td>Dallas</td>\n",
       "      <td>14</td>\n",
       "      <td>14:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 16:14:00</th>\n",
       "      <td>297706</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>246 Hill St, Atlanta, GA 30301</td>\n",
       "      <td>December</td>\n",
       "      <td>700.00</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>16</td>\n",
       "      <td>16:14:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 16:14:00</th>\n",
       "      <td>297706</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>246 Hill St, Atlanta, GA 30301</td>\n",
       "      <td>December</td>\n",
       "      <td>14.95</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>16</td>\n",
       "      <td>16:14:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 16:21:00</th>\n",
       "      <td>305706</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>988 Lakeview St, Los Angeles, CA 90001</td>\n",
       "      <td>December</td>\n",
       "      <td>11.95</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>16</td>\n",
       "      <td>16:21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 16:21:00</th>\n",
       "      <td>305706</td>\n",
       "      <td>Google Phone</td>\n",
       "      <td>1</td>\n",
       "      <td>600.00</td>\n",
       "      <td>988 Lakeview St, Los Angeles, CA 90001</td>\n",
       "      <td>December</td>\n",
       "      <td>600.00</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>16</td>\n",
       "      <td>16:21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 17:10:00</th>\n",
       "      <td>313541</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>835 1st St, Austin, TX 73301</td>\n",
       "      <td>December</td>\n",
       "      <td>14.95</td>\n",
       "      <td>Austin</td>\n",
       "      <td>17</td>\n",
       "      <td>17:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 17:10:00</th>\n",
       "      <td>313541</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>835 1st St, Austin, TX 73301</td>\n",
       "      <td>December</td>\n",
       "      <td>11.95</td>\n",
       "      <td>Austin</td>\n",
       "      <td>17</td>\n",
       "      <td>17:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 18:40:00</th>\n",
       "      <td>313056</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>870 Forest St, New York City, NY 10001</td>\n",
       "      <td>December</td>\n",
       "      <td>700.00</td>\n",
       "      <td>New York City</td>\n",
       "      <td>18</td>\n",
       "      <td>18:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 18:40:00</th>\n",
       "      <td>313056</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>870 Forest St, New York City, NY 10001</td>\n",
       "      <td>December</td>\n",
       "      <td>14.95</td>\n",
       "      <td>New York City</td>\n",
       "      <td>18</td>\n",
       "      <td>18:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 19:40:00</th>\n",
       "      <td>303147</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>499 13th St, Atlanta, GA 30301</td>\n",
       "      <td>December</td>\n",
       "      <td>700.00</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>19</td>\n",
       "      <td>19:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 19:40:00</th>\n",
       "      <td>303147</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>499 13th St, Atlanta, GA 30301</td>\n",
       "      <td>December</td>\n",
       "      <td>14.95</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>19</td>\n",
       "      <td>19:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 20:33:00</th>\n",
       "      <td>318458</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>693 4th St, New York City, NY 10001</td>\n",
       "      <td>December</td>\n",
       "      <td>700.00</td>\n",
       "      <td>New York City</td>\n",
       "      <td>20</td>\n",
       "      <td>20:33:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 20:33:00</th>\n",
       "      <td>318458</td>\n",
       "      <td>Apple Airpods Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>150.00</td>\n",
       "      <td>693 4th St, New York City, NY 10001</td>\n",
       "      <td>December</td>\n",
       "      <td>150.00</td>\n",
       "      <td>New York City</td>\n",
       "      <td>20</td>\n",
       "      <td>20:33:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 20:49:00</th>\n",
       "      <td>296804</td>\n",
       "      <td>AA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>3.84</td>\n",
       "      <td>114 10th St, Atlanta, GA 30301</td>\n",
       "      <td>December</td>\n",
       "      <td>3.84</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>20</td>\n",
       "      <td>20:49:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 20:49:00</th>\n",
       "      <td>296804</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>114 10th St, Atlanta, GA 30301</td>\n",
       "      <td>December</td>\n",
       "      <td>14.95</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>20</td>\n",
       "      <td>20:49:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 20:51:00</th>\n",
       "      <td>301832</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>2.99</td>\n",
       "      <td>774 Washington St, San Francisco, CA 94016</td>\n",
       "      <td>December</td>\n",
       "      <td>2.99</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>20</td>\n",
       "      <td>20:51:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 20:51:00</th>\n",
       "      <td>301832</td>\n",
       "      <td>20in Monitor</td>\n",
       "      <td>2</td>\n",
       "      <td>109.99</td>\n",
       "      <td>774 Washington St, San Francisco, CA 94016</td>\n",
       "      <td>December</td>\n",
       "      <td>219.98</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>20</td>\n",
       "      <td>20:51:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 22:04:00</th>\n",
       "      <td>311036</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>3</td>\n",
       "      <td>2.99</td>\n",
       "      <td>138 Lincoln St, Los Angeles, CA 90001</td>\n",
       "      <td>December</td>\n",
       "      <td>8.97</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>22</td>\n",
       "      <td>22:04:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31 22:04:00</th>\n",
       "      <td>311036</td>\n",
       "      <td>Macbook Pro Laptop</td>\n",
       "      <td>1</td>\n",
       "      <td>1700.00</td>\n",
       "      <td>138 Lincoln St, Los Angeles, CA 90001</td>\n",
       "      <td>December</td>\n",
       "      <td>1700.00</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>22</td>\n",
       "      <td>22:04:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-01 00:10:00</th>\n",
       "      <td>311386</td>\n",
       "      <td>Apple Airpods Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>150.00</td>\n",
       "      <td>730 Pine St, San Francisco, CA 94016</td>\n",
       "      <td>January</td>\n",
       "      <td>150.00</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>0</td>\n",
       "      <td>00:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-01 00:10:00</th>\n",
       "      <td>311386</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>730 Pine St, San Francisco, CA 94016</td>\n",
       "      <td>January</td>\n",
       "      <td>700.00</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>0</td>\n",
       "      <td>00:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-01 00:22:00</th>\n",
       "      <td>297817</td>\n",
       "      <td>iPhone</td>\n",
       "      <td>1</td>\n",
       "      <td>700.00</td>\n",
       "      <td>519 13th St, New York City, NY 10001</td>\n",
       "      <td>January</td>\n",
       "      <td>700.00</td>\n",
       "      <td>New York City</td>\n",
       "      <td>0</td>\n",
       "      <td>00:22:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-01 00:22:00</th>\n",
       "      <td>297817</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>14.95</td>\n",
       "      <td>519 13th St, New York City, NY 10001</td>\n",
       "      <td>January</td>\n",
       "      <td>29.90</td>\n",
       "      <td>New York City</td>\n",
       "      <td>0</td>\n",
       "      <td>00:22:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-01 05:13:00</th>\n",
       "      <td>300519</td>\n",
       "      <td>Lightning Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>14.95</td>\n",
       "      <td>657 Spruce St, New York City, NY 10001</td>\n",
       "      <td>January</td>\n",
       "      <td>14.95</td>\n",
       "      <td>New York City</td>\n",
       "      <td>5</td>\n",
       "      <td>05:13:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-01 05:13:00</th>\n",
       "      <td>300519</td>\n",
       "      <td>Bose SoundSport Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>99.99</td>\n",
       "      <td>657 Spruce St, New York City, NY 10001</td>\n",
       "      <td>January</td>\n",
       "      <td>99.99</td>\n",
       "      <td>New York City</td>\n",
       "      <td>5</td>\n",
       "      <td>05:13:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14214 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Order ID                     Product  Quantity Ordered  \\\n",
       "Order Date                                                                   \n",
       "2019-01-01 07:29:00   144804                      iPhone                 1   \n",
       "2019-01-01 07:29:00   144804            Wired Headphones                 1   \n",
       "2019-01-01 11:25:00   148074        USB-C Charging Cable                 1   \n",
       "2019-01-01 11:25:00   148074                Google Phone                 1   \n",
       "2019-01-01 12:02:00   148450                      iPhone                 1   \n",
       "2019-01-01 12:02:00   148450    Lightning Charging Cable                 1   \n",
       "2019-01-01 12:51:00   144679                Google Phone                 1   \n",
       "2019-01-01 12:51:00   144679        USB-C Charging Cable                 1   \n",
       "2019-01-01 12:57:00   147451                Google Phone                 1   \n",
       "2019-01-01 12:57:00   147451            Wired Headphones                 1   \n",
       "2019-01-01 13:29:00   143738                      iPhone                 1   \n",
       "2019-01-01 13:29:00   143738    Lightning Charging Cable                 1   \n",
       "2019-01-01 13:51:00   142112  Bose SoundSport Headphones                 1   \n",
       "2019-01-01 13:51:00   142112                20in Monitor                 1   \n",
       "2019-01-01 14:12:00   147198        USB-C Charging Cable                 1   \n",
       "2019-01-01 14:12:00   147198                Google Phone                 1   \n",
       "2019-01-01 17:57:00   149546  Bose SoundSport Headphones                 1   \n",
       "2019-01-01 17:57:00   149546       AA Batteries (4-pack)                 1   \n",
       "2019-01-01 18:29:00   146471            Wired Headphones                 1   \n",
       "2019-01-01 18:29:00   146471        USB-C Charging Cable                 1   \n",
       "2019-01-01 20:13:00   141789                Google Phone                 1   \n",
       "2019-01-01 20:13:00   141789        USB-C Charging Cable                 2   \n",
       "2019-01-01 22:37:00   147444        USB-C Charging Cable                 1   \n",
       "2019-01-01 22:37:00   147444             Vareebadd Phone                 1   \n",
       "2019-01-02 07:58:00   148067                      iPhone                 1   \n",
       "2019-01-02 07:58:00   148067    Lightning Charging Cable                 1   \n",
       "2019-01-02 08:25:00   141290    Apple Airpods Headphones                 1   \n",
       "2019-01-02 08:25:00   141290       AA Batteries (4-pack)                 3   \n",
       "2019-01-02 09:17:00   149616        USB-C Charging Cable                 1   \n",
       "2019-01-02 09:17:00   149616                Google Phone                 1   \n",
       "...                      ...                         ...               ...   \n",
       "2019-12-31 13:51:00   309141  Bose SoundSport Headphones                 1   \n",
       "2019-12-31 13:51:00   309141             ThinkPad Laptop                 1   \n",
       "2019-12-31 14:07:00   313631          LG Washing Machine                 1   \n",
       "2019-12-31 14:07:00   313631    Lightning Charging Cable                 1   \n",
       "2019-12-31 14:40:00   307328            27in FHD Monitor                 1   \n",
       "2019-12-31 14:40:00   307328  Bose SoundSport Headphones                 1   \n",
       "2019-12-31 16:14:00   297706                      iPhone                 1   \n",
       "2019-12-31 16:14:00   297706    Lightning Charging Cable                 1   \n",
       "2019-12-31 16:21:00   305706        USB-C Charging Cable                 1   \n",
       "2019-12-31 16:21:00   305706                Google Phone                 1   \n",
       "2019-12-31 17:10:00   313541    Lightning Charging Cable                 1   \n",
       "2019-12-31 17:10:00   313541        USB-C Charging Cable                 1   \n",
       "2019-12-31 18:40:00   313056                      iPhone                 1   \n",
       "2019-12-31 18:40:00   313056    Lightning Charging Cable                 1   \n",
       "2019-12-31 19:40:00   303147                      iPhone                 1   \n",
       "2019-12-31 19:40:00   303147    Lightning Charging Cable                 1   \n",
       "2019-12-31 20:33:00   318458                      iPhone                 1   \n",
       "2019-12-31 20:33:00   318458    Apple Airpods Headphones                 1   \n",
       "2019-12-31 20:49:00   296804       AA Batteries (4-pack)                 1   \n",
       "2019-12-31 20:49:00   296804    Lightning Charging Cable                 1   \n",
       "2019-12-31 20:51:00   301832      AAA Batteries (4-pack)                 1   \n",
       "2019-12-31 20:51:00   301832                20in Monitor                 2   \n",
       "2019-12-31 22:04:00   311036      AAA Batteries (4-pack)                 3   \n",
       "2019-12-31 22:04:00   311036          Macbook Pro Laptop                 1   \n",
       "2020-01-01 00:10:00   311386    Apple Airpods Headphones                 1   \n",
       "2020-01-01 00:10:00   311386                      iPhone                 1   \n",
       "2020-01-01 00:22:00   297817                      iPhone                 1   \n",
       "2020-01-01 00:22:00   297817    Lightning Charging Cable                 2   \n",
       "2020-01-01 05:13:00   300519    Lightning Charging Cable                 1   \n",
       "2020-01-01 05:13:00   300519  Bose SoundSport Headphones                 1   \n",
       "\n",
       "                     Price Each                            Purchase Address  \\\n",
       "Order Date                                                                    \n",
       "2019-01-01 07:29:00      700.00        628 Lake St, New York City, NY 10001   \n",
       "2019-01-01 07:29:00       11.99        628 Lake St, New York City, NY 10001   \n",
       "2019-01-01 11:25:00       11.95             6 Johnson St, Atlanta, GA 30301   \n",
       "2019-01-01 11:25:00      600.00             6 Johnson St, Atlanta, GA 30301   \n",
       "2019-01-01 12:02:00      700.00           761 Lakeview St, Dallas, TX 75001   \n",
       "2019-01-01 12:02:00       14.95           761 Lakeview St, Dallas, TX 75001   \n",
       "2019-01-01 12:51:00      600.00    984 Lakeview St, San Francisco, CA 94016   \n",
       "2019-01-01 12:51:00       11.95    984 Lakeview St, San Francisco, CA 94016   \n",
       "2019-01-01 12:57:00      600.00         229 Elm St, New York City, NY 10001   \n",
       "2019-01-01 12:57:00       11.99         229 Elm St, New York City, NY 10001   \n",
       "2019-01-01 13:29:00      700.00              462 Cedar St, Boston, MA 02215   \n",
       "2019-01-01 13:29:00       14.95              462 Cedar St, Boston, MA 02215   \n",
       "2019-01-01 13:51:00       99.99                625 Elm St, Boston, MA 02215   \n",
       "2019-01-01 13:51:00      109.99                625 Elm St, Boston, MA 02215   \n",
       "2019-01-01 14:12:00       11.95               858 13th St, Austin, TX 73301   \n",
       "2019-01-01 14:12:00      600.00               858 13th St, Austin, TX 73301   \n",
       "2019-01-01 17:57:00       99.99          223 Jefferson St, Boston, MA 02215   \n",
       "2019-01-01 17:57:00        3.84          223 Jefferson St, Boston, MA 02215   \n",
       "2019-01-01 18:29:00       11.99            134 Center St, Seattle, WA 98101   \n",
       "2019-01-01 18:29:00       11.95            134 Center St, Seattle, WA 98101   \n",
       "2019-01-01 20:13:00      600.00              903 Lake St, Seattle, WA 98101   \n",
       "2019-01-01 20:13:00       11.95              903 Lake St, Seattle, WA 98101   \n",
       "2019-01-01 22:37:00       11.95              585 Pine St, Atlanta, GA 30301   \n",
       "2019-01-01 22:37:00      400.00              585 Pine St, Atlanta, GA 30301   \n",
       "2019-01-02 07:58:00      700.00       976 Johnson St, Los Angeles, CA 90001   \n",
       "2019-01-02 07:58:00       14.95       976 Johnson St, Los Angeles, CA 90001   \n",
       "2019-01-02 08:25:00      150.00             4 1st St, Los Angeles, CA 90001   \n",
       "2019-01-02 08:25:00        3.84             4 1st St, Los Angeles, CA 90001   \n",
       "2019-01-02 09:17:00       11.95            61 Lincoln St, Atlanta, GA 30301   \n",
       "2019-01-02 09:17:00      600.00            61 Lincoln St, Atlanta, GA 30301   \n",
       "...                         ...                                         ...   \n",
       "2019-12-31 13:51:00       99.99            564 Wilson St, Atlanta, GA 30301   \n",
       "2019-12-31 13:51:00      999.99            564 Wilson St, Atlanta, GA 30301   \n",
       "2019-12-31 14:07:00      600.00   18 Washington St, San Francisco, CA 94016   \n",
       "2019-12-31 14:07:00       14.95   18 Washington St, San Francisco, CA 94016   \n",
       "2019-12-31 14:40:00      149.99               372 11th St, Dallas, TX 75001   \n",
       "2019-12-31 14:40:00       99.99               372 11th St, Dallas, TX 75001   \n",
       "2019-12-31 16:14:00      700.00              246 Hill St, Atlanta, GA 30301   \n",
       "2019-12-31 16:14:00       14.95              246 Hill St, Atlanta, GA 30301   \n",
       "2019-12-31 16:21:00       11.95      988 Lakeview St, Los Angeles, CA 90001   \n",
       "2019-12-31 16:21:00      600.00      988 Lakeview St, Los Angeles, CA 90001   \n",
       "2019-12-31 17:10:00       14.95                835 1st St, Austin, TX 73301   \n",
       "2019-12-31 17:10:00       11.95                835 1st St, Austin, TX 73301   \n",
       "2019-12-31 18:40:00      700.00      870 Forest St, New York City, NY 10001   \n",
       "2019-12-31 18:40:00       14.95      870 Forest St, New York City, NY 10001   \n",
       "2019-12-31 19:40:00      700.00              499 13th St, Atlanta, GA 30301   \n",
       "2019-12-31 19:40:00       14.95              499 13th St, Atlanta, GA 30301   \n",
       "2019-12-31 20:33:00      700.00         693 4th St, New York City, NY 10001   \n",
       "2019-12-31 20:33:00      150.00         693 4th St, New York City, NY 10001   \n",
       "2019-12-31 20:49:00        3.84              114 10th St, Atlanta, GA 30301   \n",
       "2019-12-31 20:49:00       14.95              114 10th St, Atlanta, GA 30301   \n",
       "2019-12-31 20:51:00        2.99  774 Washington St, San Francisco, CA 94016   \n",
       "2019-12-31 20:51:00      109.99  774 Washington St, San Francisco, CA 94016   \n",
       "2019-12-31 22:04:00        2.99       138 Lincoln St, Los Angeles, CA 90001   \n",
       "2019-12-31 22:04:00     1700.00       138 Lincoln St, Los Angeles, CA 90001   \n",
       "2020-01-01 00:10:00      150.00        730 Pine St, San Francisco, CA 94016   \n",
       "2020-01-01 00:10:00      700.00        730 Pine St, San Francisco, CA 94016   \n",
       "2020-01-01 00:22:00      700.00        519 13th St, New York City, NY 10001   \n",
       "2020-01-01 00:22:00       14.95        519 13th St, New York City, NY 10001   \n",
       "2020-01-01 05:13:00       14.95      657 Spruce St, New York City, NY 10001   \n",
       "2020-01-01 05:13:00       99.99      657 Spruce St, New York City, NY 10001   \n",
       "\n",
       "                        Month  chiffre_daffaire          ville  heure  \\\n",
       "Order Date                                                              \n",
       "2019-01-01 07:29:00   January            700.00  New York City      7   \n",
       "2019-01-01 07:29:00   January             11.99  New York City      7   \n",
       "2019-01-01 11:25:00   January             11.95        Atlanta     11   \n",
       "2019-01-01 11:25:00   January            600.00        Atlanta     11   \n",
       "2019-01-01 12:02:00   January            700.00         Dallas     12   \n",
       "2019-01-01 12:02:00   January             14.95         Dallas     12   \n",
       "2019-01-01 12:51:00   January            600.00  San Francisco     12   \n",
       "2019-01-01 12:51:00   January             11.95  San Francisco     12   \n",
       "2019-01-01 12:57:00   January            600.00  New York City     12   \n",
       "2019-01-01 12:57:00   January             11.99  New York City     12   \n",
       "2019-01-01 13:29:00   January            700.00         Boston     13   \n",
       "2019-01-01 13:29:00   January             14.95         Boston     13   \n",
       "2019-01-01 13:51:00   January             99.99         Boston     13   \n",
       "2019-01-01 13:51:00   January            109.99         Boston     13   \n",
       "2019-01-01 14:12:00   January             11.95         Austin     14   \n",
       "2019-01-01 14:12:00   January            600.00         Austin     14   \n",
       "2019-01-01 17:57:00   January             99.99         Boston     17   \n",
       "2019-01-01 17:57:00   January              3.84         Boston     17   \n",
       "2019-01-01 18:29:00   January             11.99        Seattle     18   \n",
       "2019-01-01 18:29:00   January             11.95        Seattle     18   \n",
       "2019-01-01 20:13:00   January            600.00        Seattle     20   \n",
       "2019-01-01 20:13:00   January             23.90        Seattle     20   \n",
       "2019-01-01 22:37:00   January             11.95        Atlanta     22   \n",
       "2019-01-01 22:37:00   January            400.00        Atlanta     22   \n",
       "2019-01-02 07:58:00   January            700.00    Los Angeles      7   \n",
       "2019-01-02 07:58:00   January             14.95    Los Angeles      7   \n",
       "2019-01-02 08:25:00   January            150.00    Los Angeles      8   \n",
       "2019-01-02 08:25:00   January             11.52    Los Angeles      8   \n",
       "2019-01-02 09:17:00   January             11.95        Atlanta      9   \n",
       "2019-01-02 09:17:00   January            600.00        Atlanta      9   \n",
       "...                       ...               ...            ...    ...   \n",
       "2019-12-31 13:51:00  December             99.99        Atlanta     13   \n",
       "2019-12-31 13:51:00  December            999.99        Atlanta     13   \n",
       "2019-12-31 14:07:00  December            600.00  San Francisco     14   \n",
       "2019-12-31 14:07:00  December             14.95  San Francisco     14   \n",
       "2019-12-31 14:40:00  December            149.99         Dallas     14   \n",
       "2019-12-31 14:40:00  December             99.99         Dallas     14   \n",
       "2019-12-31 16:14:00  December            700.00        Atlanta     16   \n",
       "2019-12-31 16:14:00  December             14.95        Atlanta     16   \n",
       "2019-12-31 16:21:00  December             11.95    Los Angeles     16   \n",
       "2019-12-31 16:21:00  December            600.00    Los Angeles     16   \n",
       "2019-12-31 17:10:00  December             14.95         Austin     17   \n",
       "2019-12-31 17:10:00  December             11.95         Austin     17   \n",
       "2019-12-31 18:40:00  December            700.00  New York City     18   \n",
       "2019-12-31 18:40:00  December             14.95  New York City     18   \n",
       "2019-12-31 19:40:00  December            700.00        Atlanta     19   \n",
       "2019-12-31 19:40:00  December             14.95        Atlanta     19   \n",
       "2019-12-31 20:33:00  December            700.00  New York City     20   \n",
       "2019-12-31 20:33:00  December            150.00  New York City     20   \n",
       "2019-12-31 20:49:00  December              3.84        Atlanta     20   \n",
       "2019-12-31 20:49:00  December             14.95        Atlanta     20   \n",
       "2019-12-31 20:51:00  December              2.99  San Francisco     20   \n",
       "2019-12-31 20:51:00  December            219.98  San Francisco     20   \n",
       "2019-12-31 22:04:00  December              8.97    Los Angeles     22   \n",
       "2019-12-31 22:04:00  December           1700.00    Los Angeles     22   \n",
       "2020-01-01 00:10:00   January            150.00  San Francisco      0   \n",
       "2020-01-01 00:10:00   January            700.00  San Francisco      0   \n",
       "2020-01-01 00:22:00   January            700.00  New York City      0   \n",
       "2020-01-01 00:22:00   January             29.90  New York City      0   \n",
       "2020-01-01 05:13:00   January             14.95  New York City      5   \n",
       "2020-01-01 05:13:00   January             99.99  New York City      5   \n",
       "\n",
       "                         time  \n",
       "Order Date                     \n",
       "2019-01-01 07:29:00  07:29:00  \n",
       "2019-01-01 07:29:00  07:29:00  \n",
       "2019-01-01 11:25:00  11:25:00  \n",
       "2019-01-01 11:25:00  11:25:00  \n",
       "2019-01-01 12:02:00  12:02:00  \n",
       "2019-01-01 12:02:00  12:02:00  \n",
       "2019-01-01 12:51:00  12:51:00  \n",
       "2019-01-01 12:51:00  12:51:00  \n",
       "2019-01-01 12:57:00  12:57:00  \n",
       "2019-01-01 12:57:00  12:57:00  \n",
       "2019-01-01 13:29:00  13:29:00  \n",
       "2019-01-01 13:29:00  13:29:00  \n",
       "2019-01-01 13:51:00  13:51:00  \n",
       "2019-01-01 13:51:00  13:51:00  \n",
       "2019-01-01 14:12:00  14:12:00  \n",
       "2019-01-01 14:12:00  14:12:00  \n",
       "2019-01-01 17:57:00  17:57:00  \n",
       "2019-01-01 17:57:00  17:57:00  \n",
       "2019-01-01 18:29:00  18:29:00  \n",
       "2019-01-01 18:29:00  18:29:00  \n",
       "2019-01-01 20:13:00  20:13:00  \n",
       "2019-01-01 20:13:00  20:13:00  \n",
       "2019-01-01 22:37:00  22:37:00  \n",
       "2019-01-01 22:37:00  22:37:00  \n",
       "2019-01-02 07:58:00  07:58:00  \n",
       "2019-01-02 07:58:00  07:58:00  \n",
       "2019-01-02 08:25:00  08:25:00  \n",
       "2019-01-02 08:25:00  08:25:00  \n",
       "2019-01-02 09:17:00  09:17:00  \n",
       "2019-01-02 09:17:00  09:17:00  \n",
       "...                       ...  \n",
       "2019-12-31 13:51:00  13:51:00  \n",
       "2019-12-31 13:51:00  13:51:00  \n",
       "2019-12-31 14:07:00  14:07:00  \n",
       "2019-12-31 14:07:00  14:07:00  \n",
       "2019-12-31 14:40:00  14:40:00  \n",
       "2019-12-31 14:40:00  14:40:00  \n",
       "2019-12-31 16:14:00  16:14:00  \n",
       "2019-12-31 16:14:00  16:14:00  \n",
       "2019-12-31 16:21:00  16:21:00  \n",
       "2019-12-31 16:21:00  16:21:00  \n",
       "2019-12-31 17:10:00  17:10:00  \n",
       "2019-12-31 17:10:00  17:10:00  \n",
       "2019-12-31 18:40:00  18:40:00  \n",
       "2019-12-31 18:40:00  18:40:00  \n",
       "2019-12-31 19:40:00  19:40:00  \n",
       "2019-12-31 19:40:00  19:40:00  \n",
       "2019-12-31 20:33:00  20:33:00  \n",
       "2019-12-31 20:33:00  20:33:00  \n",
       "2019-12-31 20:49:00  20:49:00  \n",
       "2019-12-31 20:49:00  20:49:00  \n",
       "2019-12-31 20:51:00  20:51:00  \n",
       "2019-12-31 20:51:00  20:51:00  \n",
       "2019-12-31 22:04:00  22:04:00  \n",
       "2019-12-31 22:04:00  22:04:00  \n",
       "2020-01-01 00:10:00  00:10:00  \n",
       "2020-01-01 00:10:00  00:10:00  \n",
       "2020-01-01 00:22:00  00:22:00  \n",
       "2020-01-01 00:22:00  00:22:00  \n",
       "2020-01-01 05:13:00  05:13:00  \n",
       "2020-01-01 05:13:00  05:13:00  \n",
       "\n",
       "[14214 rows x 10 columns]"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_m = df_clean[df_clean['Order ID'].duplicated(keep=False)].copy()\n",
    "df_m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "def concat_produit_par_order_id(p: list):\n",
    "  return \";\".join(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Order ID\n",
       "141275                Wired Headphones;USB-C Charging Cable\n",
       "141290       Apple Airpods Headphones;AA Batteries (4-pack)\n",
       "141365                     Wired Headphones;Vareebadd Phone\n",
       "141384                    USB-C Charging Cable;Google Phone\n",
       "141450              Bose SoundSport Headphones;Google Phone\n",
       "141457                      iPhone;Apple Airpods Headphones\n",
       "141478                Apple Airpods Headphones;Google Phone\n",
       "141550     Wired Headphones;Apple Airpods Headphones;iPhone\n",
       "141587        USB-C Charging Cable;Apple Airpods Headphones\n",
       "141645            Wired Headphones;Lightning Charging Cable\n",
       "141738                      iPhone;Lightning Charging Cable\n",
       "141782          Bose SoundSport Headphones;27in FHD Monitor\n",
       "141789                    Google Phone;USB-C Charging Cable\n",
       "141795                              Wired Headphones;iPhone\n",
       "141809                    USB-C Charging Cable;Google Phone\n",
       "141843         AAA Batteries (4-pack);AA Batteries (4-pack)\n",
       "141900    USB-C Charging Cable;Wired Headphones;Vareebad...\n",
       "141901                    Google Phone;USB-C Charging Cable\n",
       "141910                     Vareebadd Phone;Wired Headphones\n",
       "141939      34in Ultrawide Monitor;Lightning Charging Cable\n",
       "141946                USB-C Charging Cable;Wired Headphones\n",
       "141947    Lightning Charging Cable;Bose SoundSport Headp...\n",
       "141965                        Google Phone;Wired Headphones\n",
       "141967                              Wired Headphones;iPhone\n",
       "141970    Lightning Charging Cable;Apple Airpods Headphones\n",
       "141972                                  Google Phone;iPhone\n",
       "141993                              iPhone;Wired Headphones\n",
       "142010                      iPhone;Lightning Charging Cable\n",
       "142023                        20in Monitor;Wired Headphones\n",
       "142037                      iPhone;Apple Airpods Headphones\n",
       "                                ...                        \n",
       "318790    Bose SoundSport Headphones;Apple Airpods Headp...\n",
       "318794     Bose SoundSport Headphones;AA Batteries (4-pack)\n",
       "318854       Lightning Charging Cable;AA Batteries (4-pack)\n",
       "318872                         iPhone;AA Batteries (4-pack)\n",
       "318902                        Google Phone;Wired Headphones\n",
       "318919            Macbook Pro Laptop;27in 4K Gaming Monitor\n",
       "318964      Bose SoundSport Headphones;USB-C Charging Cable\n",
       "318965                      iPhone;Lightning Charging Cable\n",
       "319032                              Wired Headphones;iPhone\n",
       "319045                 Flatscreen TV;AAA Batteries (4-pack)\n",
       "319095                    Google Phone;USB-C Charging Cable\n",
       "319239                              iPhone;Wired Headphones\n",
       "319261              Bose SoundSport Headphones;Google Phone\n",
       "319266                      Lightning Charging Cable;iPhone\n",
       "319276      Bose SoundSport Headphones;USB-C Charging Cable\n",
       "319277        Lightning Charging Cable;USB-C Charging Cable\n",
       "319282    27in 4K Gaming Monitor;Bose SoundSport Headphones\n",
       "319301                 Vareebadd Phone;USB-C Charging Cable\n",
       "319313                    Google Phone;USB-C Charging Cable\n",
       "319316      AAA Batteries (4-pack);Apple Airpods Headphones\n",
       "319337                 Vareebadd Phone;USB-C Charging Cable\n",
       "319359                        Wired Headphones;Google Phone\n",
       "319447                        Wired Headphones;Google Phone\n",
       "319514              Wired Headphones;AAA Batteries (4-pack)\n",
       "319533              AAA Batteries (4-pack);27in FHD Monitor\n",
       "319536                  Macbook Pro Laptop;Wired Headphones\n",
       "319556                        Wired Headphones;Google Phone\n",
       "319584                              Wired Headphones;iPhone\n",
       "319596                      iPhone;Lightning Charging Cable\n",
       "319631      Lightning Charging Cable;34in Ultrawide Monitor\n",
       "Name: Product, Length: 6928, dtype: object"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_m.groupby('Order ID')['Product'].apply(concat_produit_par_order_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "ensemble = df_m.groupby('Order ID')['Product'].apply(concat_produit_par_order_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "from itertools import combinations\n",
    "from collections import Counter\n",
    "\n",
    "count = Counter()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({('a', 'c'): 1, ('a', 'b'): 1, ('c', 'b'): 1})"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Counter(combinations(['a', 'c', 'b'], 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a c\n",
      "a b\n",
      "c b\n"
     ]
    }
   ],
   "source": [
    "for i, j in combinations(['a', 'c', 'b'], 2):\n",
    "    print(i, j)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Wired Headphones;USB-C Charging Cable',\n",
       " 'Apple Airpods Headphones;AA Batteries (4-pack)',\n",
       " 'Wired Headphones;Vareebadd Phone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Bose SoundSport Headphones;Google Phone',\n",
       " 'iPhone;Apple Airpods Headphones',\n",
       " 'Apple Airpods Headphones;Google Phone',\n",
       " 'Wired Headphones;Apple Airpods Headphones;iPhone',\n",
       " 'USB-C Charging Cable;Apple Airpods Headphones',\n",
       " 'Wired Headphones;Lightning Charging Cable',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Bose SoundSport Headphones;27in FHD Monitor',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'AAA Batteries (4-pack);AA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;Wired Headphones;Vareebadd Phone',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Vareebadd Phone;Wired Headphones',\n",
       " '34in Ultrawide Monitor;Lightning Charging Cable',\n",
       " 'USB-C Charging Cable;Wired Headphones',\n",
       " 'Lightning Charging Cable;Bose SoundSport Headphones',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Lightning Charging Cable;Apple Airpods Headphones',\n",
       " 'Google Phone;iPhone',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " '20in Monitor;Wired Headphones',\n",
       " 'iPhone;Apple Airpods Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'AA Batteries (4-pack);AA Batteries (4-pack)',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Bose SoundSport Headphones;20in Monitor',\n",
       " 'Wired Headphones;Bose SoundSport Headphones;Google Phone',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Apple Airpods Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'USB-C Charging Cable;Wired Headphones;Google Phone',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'Bose SoundSport Headphones;Google Phone',\n",
       " 'Google Phone;iPhone',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'Bose SoundSport Headphones;Vareebadd Phone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'AA Batteries (4-pack);AAA Batteries (4-pack)',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " '27in 4K Gaming Monitor;AAA Batteries (4-pack)',\n",
       " 'AA Batteries (4-pack);USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Wired Headphones',\n",
       " 'Macbook Pro Laptop;AA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Macbook Pro Laptop;Bose SoundSport Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Wired Headphones;iPhone',\n",
       " '34in Ultrawide Monitor;Wired Headphones',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Google Phone;Bose SoundSport Headphones;Wired Headphones',\n",
       " 'iPhone;Lightning Charging Cable;Apple Airpods Headphones',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'AA Batteries (4-pack);Wired Headphones',\n",
       " '20in Monitor;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;Apple Airpods Headphones',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Apple Airpods Headphones;Bose SoundSport Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Lightning Charging Cable;Apple Airpods Headphones',\n",
       " 'Wired Headphones;Lightning Charging Cable',\n",
       " 'ThinkPad Laptop;Wired Headphones',\n",
       " 'LG Dryer;Flatscreen TV',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Apple Airpods Headphones;AAA Batteries (4-pack)',\n",
       " 'Lightning Charging Cable;iPhone;Wired Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'AAA Batteries (4-pack);27in 4K Gaming Monitor',\n",
       " 'AA Batteries (4-pack);Bose SoundSport Headphones',\n",
       " '34in Ultrawide Monitor;Lightning Charging Cable',\n",
       " 'Apple Airpods Headphones;USB-C Charging Cable',\n",
       " 'ThinkPad Laptop;Apple Airpods Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'Flatscreen TV;AAA Batteries (4-pack)',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Vareebadd Phone;Wired Headphones',\n",
       " 'USB-C Charging Cable;AAA Batteries (4-pack)',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " '27in FHD Monitor;USB-C Charging Cable',\n",
       " '27in 4K Gaming Monitor;AA Batteries (4-pack)',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'USB-C Charging Cable;Google Phone;Wired Headphones',\n",
       " 'USB-C Charging Cable;20in Monitor',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Wired Headphones;AA Batteries (4-pack)',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'iPhone;27in 4K Gaming Monitor',\n",
       " 'Bose SoundSport Headphones;Wired Headphones',\n",
       " 'AAA Batteries (4-pack);Lightning Charging Cable',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Google Phone;Bose SoundSport Headphones',\n",
       " 'Lightning Charging Cable;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;27in FHD Monitor',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " 'Flatscreen TV;USB-C Charging Cable',\n",
       " 'Bose SoundSport Headphones;LG Washing Machine',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'Lightning Charging Cable;Macbook Pro Laptop',\n",
       " 'USB-C Charging Cable;Lightning Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Wired Headphones;Bose SoundSport Headphones',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'AA Batteries (4-pack);AAA Batteries (4-pack)',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'USB-C Charging Cable;iPhone',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Bose SoundSport Headphones;Wired Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'iPhone;Lightning Charging Cable;Wired Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Apple Airpods Headphones;USB-C Charging Cable',\n",
       " 'AA Batteries (4-pack);Lightning Charging Cable',\n",
       " '20in Monitor;Wired Headphones',\n",
       " '27in 4K Gaming Monitor;AA Batteries (4-pack)',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Bose SoundSport Headphones;Vareebadd Phone',\n",
       " 'Google Phone;USB-C Charging Cable;Wired Headphones',\n",
       " 'Wired Headphones;20in Monitor',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Lightning Charging Cable;iPhone;Wired Headphones',\n",
       " 'USB-C Charging Cable;AA Batteries (4-pack)',\n",
       " 'LG Dryer;AA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;Bose SoundSport Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'AAA Batteries (4-pack);Apple Airpods Headphones',\n",
       " 'Lightning Charging Cable;Lightning Charging Cable',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Vareebadd Phone;AAA Batteries (4-pack)',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'Flatscreen TV;Apple Airpods Headphones',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Wired Headphones;AAA Batteries (4-pack)',\n",
       " 'AAA Batteries (4-pack);Bose SoundSport Headphones',\n",
       " 'AAA Batteries (4-pack);Flatscreen TV',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Bose SoundSport Headphones;20in Monitor',\n",
       " 'Lightning Charging Cable;AAA Batteries (4-pack)',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'USB-C Charging Cable;Apple Airpods Headphones',\n",
       " 'Google Phone;USB-C Charging Cable;Bose SoundSport Headphones',\n",
       " 'Wired Headphones;AAA Batteries (4-pack)',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Wired Headphones;ThinkPad Laptop',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Lightning Charging Cable;Flatscreen TV',\n",
       " 'Wired Headphones;AA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;iPhone',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Wired Headphones;AAA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;Bose SoundSport Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Wired Headphones;Vareebadd Phone',\n",
       " 'AA Batteries (4-pack);27in 4K Gaming Monitor',\n",
       " 'Lightning Charging Cable;Google Phone',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'USB-C Charging Cable;Wired Headphones',\n",
       " 'AA Batteries (4-pack);Flatscreen TV',\n",
       " 'AA Batteries (4-pack);Lightning Charging Cable',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'AAA Batteries (4-pack);AA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " '34in Ultrawide Monitor;Flatscreen TV',\n",
       " 'USB-C Charging Cable;Wired Headphones',\n",
       " 'Bose SoundSport Headphones;27in FHD Monitor',\n",
       " 'AAA Batteries (4-pack);27in FHD Monitor',\n",
       " 'LG Dryer;AA Batteries (4-pack)',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Wired Headphones;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'Lightning Charging Cable;Bose SoundSport Headphones',\n",
       " 'Flatscreen TV;Apple Airpods Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Apple Airpods Headphones;Lightning Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Google Phone;Google Phone',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Apple Airpods Headphones;Lightning Charging Cable',\n",
       " 'iPhone;Apple Airpods Headphones',\n",
       " 'iPhone;Apple Airpods Headphones',\n",
       " 'iPhone;Apple Airpods Headphones',\n",
       " 'iPhone;Apple Airpods Headphones',\n",
       " 'iPhone;Wired Headphones',\n",
       " '27in FHD Monitor;27in 4K Gaming Monitor',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'Bose SoundSport Headphones;Wired Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'AA Batteries (4-pack);34in Ultrawide Monitor',\n",
       " 'Wired Headphones;Flatscreen TV',\n",
       " '27in FHD Monitor;AAA Batteries (4-pack)',\n",
       " 'Lightning Charging Cable;Wired Headphones',\n",
       " 'iPhone;Apple Airpods Headphones',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'Apple Airpods Headphones;Wired Headphones',\n",
       " 'Lightning Charging Cable;AA Batteries (4-pack)',\n",
       " 'Lightning Charging Cable;Google Phone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'USB-C Charging Cable;20in Monitor',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;27in 4K Gaming Monitor',\n",
       " 'USB-C Charging Cable;AAA Batteries (4-pack)',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Wired Headphones;AA Batteries (4-pack)',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Wired Headphones;Google Phone;USB-C Charging Cable',\n",
       " 'Flatscreen TV;Apple Airpods Headphones',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'iPhone;Apple Airpods Headphones;Wired Headphones',\n",
       " 'AAA Batteries (4-pack);34in Ultrawide Monitor',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'Wired Headphones;Wired Headphones',\n",
       " 'USB-C Charging Cable;Wired Headphones;Vareebadd Phone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Bose SoundSport Headphones;USB-C Charging Cable;Google Phone',\n",
       " 'USB-C Charging Cable;Google Phone;AA Batteries (4-pack)',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Macbook Pro Laptop;Apple Airpods Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'USB-C Charging Cable;34in Ultrawide Monitor',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'AA Batteries (4-pack);Lightning Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " '20in Monitor;Lightning Charging Cable',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'iPhone;Apple Airpods Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Bose SoundSport Headphones;AA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;AA Batteries (4-pack)',\n",
       " 'AAA Batteries (4-pack);Apple Airpods Headphones',\n",
       " 'AAA Batteries (4-pack);USB-C Charging Cable',\n",
       " 'ThinkPad Laptop;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'AAA Batteries (4-pack);Lightning Charging Cable',\n",
       " 'Wired Headphones;USB-C Charging Cable',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Bose SoundSport Headphones;Macbook Pro Laptop',\n",
       " 'Wired Headphones;USB-C Charging Cable;Vareebadd Phone',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Wired Headphones;AAA Batteries (4-pack)',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " '27in 4K Gaming Monitor;Bose SoundSport Headphones',\n",
       " 'USB-C Charging Cable;USB-C Charging Cable',\n",
       " 'Flatscreen TV;AA Batteries (4-pack)',\n",
       " '27in 4K Gaming Monitor;Lightning Charging Cable',\n",
       " 'AA Batteries (4-pack);Apple Airpods Headphones',\n",
       " 'Bose SoundSport Headphones;Google Phone',\n",
       " 'Wired Headphones;Vareebadd Phone;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;Lightning Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Apple Airpods Headphones;Apple Airpods Headphones',\n",
       " '27in FHD Monitor;Apple Airpods Headphones',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Apple Airpods Headphones;34in Ultrawide Monitor',\n",
       " 'AAA Batteries (4-pack);Wired Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Lightning Charging Cable;AAA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;Wired Headphones;Vareebadd Phone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'USB-C Charging Cable;USB-C Charging Cable',\n",
       " 'ThinkPad Laptop;AA Batteries (4-pack)',\n",
       " 'Bose SoundSport Headphones;AA Batteries (4-pack)',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Wired Headphones;Vareebadd Phone',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'USB-C Charging Cable;Bose SoundSport Headphones',\n",
       " 'AA Batteries (4-pack);Google Phone',\n",
       " 'AA Batteries (4-pack);Apple Airpods Headphones',\n",
       " 'USB-C Charging Cable;USB-C Charging Cable',\n",
       " '27in FHD Monitor;Wired Headphones',\n",
       " 'Lightning Charging Cable;Flatscreen TV',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'iPhone;USB-C Charging Cable',\n",
       " 'iPhone;USB-C Charging Cable',\n",
       " 'Bose SoundSport Headphones;USB-C Charging Cable;Google Phone',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;27in 4K Gaming Monitor',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Wired Headphones;Google Phone',\n",
       " '27in FHD Monitor;Wired Headphones',\n",
       " 'Google Phone;USB-C Charging Cable;Wired Headphones',\n",
       " 'Lightning Charging Cable;Bose SoundSport Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'AAA Batteries (4-pack);USB-C Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable;Wired Headphones',\n",
       " 'USB-C Charging Cable;Lightning Charging Cable',\n",
       " 'Wired Headphones;Wired Headphones',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable;Apple Airpods Headphones',\n",
       " 'Flatscreen TV;Google Phone',\n",
       " 'Macbook Pro Laptop;iPhone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'AAA Batteries (4-pack);Apple Airpods Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'USB-C Charging Cable;Wired Headphones;Google Phone',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'AAA Batteries (4-pack);27in 4K Gaming Monitor',\n",
       " 'Apple Airpods Headphones;Wired Headphones',\n",
       " 'Wired Headphones;Apple Airpods Headphones',\n",
       " 'Lightning Charging Cable;Lightning Charging Cable',\n",
       " 'Lightning Charging Cable;iPhone;iPhone',\n",
       " 'USB-C Charging Cable;USB-C Charging Cable',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Apple Airpods Headphones;Lightning Charging Cable;iPhone',\n",
       " 'Vareebadd Phone;Wired Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Wired Headphones;Wired Headphones',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'AAA Batteries (4-pack);Lightning Charging Cable',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Lightning Charging Cable;34in Ultrawide Monitor',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Google Phone;LG Washing Machine',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'iPhone;USB-C Charging Cable',\n",
       " 'Wired Headphones;LG Washing Machine',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'USB-C Charging Cable;AAA Batteries (4-pack)',\n",
       " 'Macbook Pro Laptop;27in FHD Monitor',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " '34in Ultrawide Monitor;Lightning Charging Cable',\n",
       " 'Apple Airpods Headphones;Lightning Charging Cable',\n",
       " 'Wired Headphones;USB-C Charging Cable;Google Phone',\n",
       " 'USB-C Charging Cable;USB-C Charging Cable',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Bose SoundSport Headphones;Apple Airpods Headphones',\n",
       " 'Wired Headphones;Wired Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Macbook Pro Laptop;Bose SoundSport Headphones',\n",
       " 'Wired Headphones;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;AA Batteries (4-pack)',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " '20in Monitor;USB-C Charging Cable',\n",
       " 'Vareebadd Phone;Bose SoundSport Headphones',\n",
       " 'Google Phone;Bose SoundSport Headphones',\n",
       " 'USB-C Charging Cable;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Google Phone;iPhone',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'USB-C Charging Cable;Vareebadd Phone;Bose SoundSport Headphones',\n",
       " 'AAA Batteries (4-pack);Bose SoundSport Headphones',\n",
       " 'USB-C Charging Cable;Apple Airpods Headphones',\n",
       " 'AAA Batteries (4-pack);34in Ultrawide Monitor',\n",
       " 'AAA Batteries (4-pack);Apple Airpods Headphones',\n",
       " 'ThinkPad Laptop;AAA Batteries (4-pack)',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Apple Airpods Headphones;USB-C Charging Cable',\n",
       " 'Apple Airpods Headphones;AAA Batteries (4-pack)',\n",
       " 'AAA Batteries (4-pack);27in 4K Gaming Monitor',\n",
       " 'Lightning Charging Cable;AAA Batteries (4-pack)',\n",
       " 'Apple Airpods Headphones;iPhone;Lightning Charging Cable',\n",
       " 'Bose SoundSport Headphones;Bose SoundSport Headphones',\n",
       " 'Apple Airpods Headphones;Lightning Charging Cable',\n",
       " 'AA Batteries (4-pack);Apple Airpods Headphones',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'AA Batteries (4-pack);Wired Headphones',\n",
       " 'AAA Batteries (4-pack);iPhone',\n",
       " 'Bose SoundSport Headphones;Google Phone',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " '27in FHD Monitor;Bose SoundSport Headphones',\n",
       " 'Google Phone;Bose SoundSport Headphones',\n",
       " 'Macbook Pro Laptop;AAA Batteries (4-pack)',\n",
       " 'Bose SoundSport Headphones;Flatscreen TV',\n",
       " 'Wired Headphones;iPhone',\n",
       " '27in 4K Gaming Monitor;AA Batteries (4-pack)',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Macbook Pro Laptop;27in 4K Gaming Monitor',\n",
       " '27in FHD Monitor;Apple Airpods Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'iPhone;Apple Airpods Headphones',\n",
       " 'Lightning Charging Cable;34in Ultrawide Monitor',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Vareebadd Phone;Google Phone',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Google Phone;Lightning Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Bose SoundSport Headphones;USB-C Charging Cable',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Bose SoundSport Headphones;ThinkPad Laptop',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Bose SoundSport Headphones;USB-C Charging Cable;Google Phone',\n",
       " '34in Ultrawide Monitor;Apple Airpods Headphones',\n",
       " 'Vareebadd Phone;AA Batteries (4-pack)',\n",
       " 'Lightning Charging Cable;Bose SoundSport Headphones',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " 'Macbook Pro Laptop;Wired Headphones',\n",
       " 'Wired Headphones;Wired Headphones',\n",
       " 'Wired Headphones;Wired Headphones',\n",
       " 'Google Phone;Bose SoundSport Headphones',\n",
       " 'Apple Airpods Headphones;Flatscreen TV',\n",
       " 'AAA Batteries (4-pack);Wired Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " '27in 4K Gaming Monitor;Lightning Charging Cable',\n",
       " 'Wired Headphones;27in FHD Monitor',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Apple Airpods Headphones;Wired Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'iPhone;Apple Airpods Headphones',\n",
       " 'USB-C Charging Cable;Bose SoundSport Headphones',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'AAA Batteries (4-pack);Apple Airpods Headphones',\n",
       " 'Wired Headphones;Lightning Charging Cable',\n",
       " 'Lightning Charging Cable;Apple Airpods Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Wired Headphones;USB-C Charging Cable;Google Phone',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Google Phone;Lightning Charging Cable',\n",
       " 'Google Phone;27in 4K Gaming Monitor',\n",
       " 'USB-C Charging Cable;Google Phone;Wired Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Macbook Pro Laptop;27in 4K Gaming Monitor',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " '27in FHD Monitor;Lightning Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'Wired Headphones;Bose SoundSport Headphones',\n",
       " 'AAA Batteries (4-pack);AAA Batteries (4-pack)',\n",
       " 'Apple Airpods Headphones;Bose SoundSport Headphones',\n",
       " 'Bose SoundSport Headphones;ThinkPad Laptop',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'iPhone;Apple Airpods Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Google Phone;Wired Headphones',\n",
       " '27in FHD Monitor;Bose SoundSport Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Wired Headphones;27in 4K Gaming Monitor',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Apple Airpods Headphones;Lightning Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'AAA Batteries (4-pack);34in Ultrawide Monitor',\n",
       " 'Bose SoundSport Headphones;Lightning Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable;Wired Headphones',\n",
       " 'Lightning Charging Cable;Lightning Charging Cable',\n",
       " '27in 4K Gaming Monitor;27in 4K Gaming Monitor',\n",
       " 'AA Batteries (4-pack);Apple Airpods Headphones',\n",
       " 'Google Phone;Bose SoundSport Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'iPhone;Wired Headphones',\n",
       " '34in Ultrawide Monitor;AA Batteries (4-pack)',\n",
       " 'Google Phone;USB-C Charging Cable;Bose SoundSport Headphones',\n",
       " 'Lightning Charging Cable;Lightning Charging Cable',\n",
       " 'Google Phone;Bose SoundSport Headphones',\n",
       " 'Wired Headphones;Bose SoundSport Headphones;Google Phone',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;Wired Headphones',\n",
       " 'AAA Batteries (4-pack);AA Batteries (4-pack)',\n",
       " 'Macbook Pro Laptop;27in FHD Monitor',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " '27in 4K Gaming Monitor;USB-C Charging Cable',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Wired Headphones;AA Batteries (4-pack)',\n",
       " 'Bose SoundSport Headphones;Google Phone',\n",
       " 'Google Phone;AAA Batteries (4-pack)',\n",
       " 'AAA Batteries (4-pack);27in 4K Gaming Monitor',\n",
       " 'Bose SoundSport Headphones;Google Phone;USB-C Charging Cable',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Wired Headphones;ThinkPad Laptop',\n",
       " 'AA Batteries (4-pack);Google Phone',\n",
       " 'Lightning Charging Cable;ThinkPad Laptop',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " '27in 4K Gaming Monitor;Bose SoundSport Headphones',\n",
       " '27in FHD Monitor;AAA Batteries (4-pack)',\n",
       " 'AA Batteries (4-pack);AA Batteries (4-pack)',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'Vareebadd Phone;Wired Headphones',\n",
       " 'Bose SoundSport Headphones;27in 4K Gaming Monitor',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Apple Airpods Headphones;34in Ultrawide Monitor',\n",
       " 'AA Batteries (4-pack);Wired Headphones',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " 'AA Batteries (4-pack);27in 4K Gaming Monitor',\n",
       " 'Bose SoundSport Headphones;Bose SoundSport Headphones',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Lightning Charging Cable;Bose SoundSport Headphones',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'USB-C Charging Cable;AA Batteries (4-pack)',\n",
       " 'Vareebadd Phone;Bose SoundSport Headphones',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'AAA Batteries (4-pack);AAA Batteries (4-pack)',\n",
       " 'Bose SoundSport Headphones;AAA Batteries (4-pack)',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'Apple Airpods Headphones;Bose SoundSport Headphones',\n",
       " 'Bose SoundSport Headphones;Google Phone',\n",
       " 'AA Batteries (4-pack);Bose SoundSport Headphones',\n",
       " 'Flatscreen TV;iPhone',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " '27in FHD Monitor;AA Batteries (4-pack)',\n",
       " 'Vareebadd Phone;iPhone;Wired Headphones',\n",
       " 'AA Batteries (4-pack);Apple Airpods Headphones',\n",
       " 'AAA Batteries (4-pack);Lightning Charging Cable',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Flatscreen TV;AA Batteries (4-pack)',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Lightning Charging Cable;27in FHD Monitor',\n",
       " 'Wired Headphones;Vareebadd Phone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Lightning Charging Cable;AAA Batteries (4-pack)',\n",
       " 'Wired Headphones;Lightning Charging Cable',\n",
       " 'iPhone;Apple Airpods Headphones',\n",
       " 'Wired Headphones;AAA Batteries (4-pack)',\n",
       " 'AA Batteries (4-pack);USB-C Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Bose SoundSport Headphones;Google Phone',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'USB-C Charging Cable;Bose SoundSport Headphones',\n",
       " 'USB-C Charging Cable;iPhone',\n",
       " 'Vareebadd Phone;USB-C Charging Cable;Wired Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " '27in 4K Gaming Monitor;Wired Headphones',\n",
       " 'Macbook Pro Laptop;AAA Batteries (4-pack)',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Macbook Pro Laptop;Wired Headphones',\n",
       " 'Vareebadd Phone;Wired Headphones',\n",
       " 'Lightning Charging Cable;USB-C Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " 'Lightning Charging Cable;34in Ultrawide Monitor',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'USB-C Charging Cable;Vareebadd Phone;Wired Headphones',\n",
       " 'Lightning Charging Cable;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;Wired Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Apple Airpods Headphones;AA Batteries (4-pack)',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Apple Airpods Headphones;AAA Batteries (4-pack)',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " '27in 4K Gaming Monitor;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'iPhone;AA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;AAA Batteries (4-pack)',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Apple Airpods Headphones;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;ThinkPad Laptop',\n",
       " '27in FHD Monitor;LG Dryer',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " '27in FHD Monitor;20in Monitor',\n",
       " 'Google Phone;Lightning Charging Cable',\n",
       " 'Wired Headphones;Lightning Charging Cable',\n",
       " 'AAA Batteries (4-pack);Wired Headphones',\n",
       " 'AA Batteries (4-pack);20in Monitor',\n",
       " 'Bose SoundSport Headphones;USB-C Charging Cable;Google Phone',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " 'AA Batteries (4-pack);LG Dryer',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'AA Batteries (4-pack);AA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;Lightning Charging Cable',\n",
       " 'Apple Airpods Headphones;20in Monitor',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " '27in FHD Monitor;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Apple Airpods Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " '27in 4K Gaming Monitor;Wired Headphones',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " 'Lightning Charging Cable;AAA Batteries (4-pack)',\n",
       " 'Flatscreen TV;Wired Headphones',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'Vareebadd Phone;Apple Airpods Headphones',\n",
       " 'Wired Headphones;Bose SoundSport Headphones',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'Lightning Charging Cable;Apple Airpods Headphones',\n",
       " '34in Ultrawide Monitor;34in Ultrawide Monitor',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Vareebadd Phone;Wired Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;34in Ultrawide Monitor',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " 'AA Batteries (4-pack);34in Ultrawide Monitor',\n",
       " 'Wired Headphones;Lightning Charging Cable;iPhone',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Bose SoundSport Headphones;USB-C Charging Cable',\n",
       " 'Google Phone;Lightning Charging Cable',\n",
       " 'USB-C Charging Cable;Flatscreen TV',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'AAA Batteries (4-pack);Wired Headphones',\n",
       " 'Vareebadd Phone;Wired Headphones;Apple Airpods Headphones',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'USB-C Charging Cable;Google Phone;Wired Headphones',\n",
       " 'Apple Airpods Headphones;Flatscreen TV',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Macbook Pro Laptop;20in Monitor',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;27in FHD Monitor',\n",
       " 'iPhone;Apple Airpods Headphones',\n",
       " 'USB-C Charging Cable;Lightning Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;Macbook Pro Laptop',\n",
       " 'AA Batteries (4-pack);USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Lightning Charging Cable;Apple Airpods Headphones',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Wired Headphones;Vareebadd Phone',\n",
       " 'Lightning Charging Cable;Lightning Charging Cable',\n",
       " 'AAA Batteries (4-pack);AA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;AA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'AAA Batteries (4-pack);AA Batteries (4-pack)',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Apple Airpods Headphones',\n",
       " 'AAA Batteries (4-pack);AAA Batteries (4-pack)',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " '27in 4K Gaming Monitor;AA Batteries (4-pack)',\n",
       " 'ThinkPad Laptop;AA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " '27in 4K Gaming Monitor;AA Batteries (4-pack)',\n",
       " 'Bose SoundSport Headphones;AA Batteries (4-pack)',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'USB-C Charging Cable;Bose SoundSport Headphones',\n",
       " 'Lightning Charging Cable;Bose SoundSport Headphones',\n",
       " 'AA Batteries (4-pack);Wired Headphones',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'Google Phone;iPhone;Apple Airpods Headphones;Lightning Charging Cable;Wired Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Apple Airpods Headphones;AAA Batteries (4-pack)',\n",
       " 'iPhone;AAA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;27in 4K Gaming Monitor',\n",
       " 'Vareebadd Phone;Wired Headphones;27in 4K Gaming Monitor',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " '27in 4K Gaming Monitor;Macbook Pro Laptop',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Bose SoundSport Headphones;Google Phone',\n",
       " '27in FHD Monitor;34in Ultrawide Monitor',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'USB-C Charging Cable;Bose SoundSport Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'iPhone;ThinkPad Laptop',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Bose SoundSport Headphones',\n",
       " 'Bose SoundSport Headphones;AAA Batteries (4-pack)',\n",
       " 'AAA Batteries (4-pack);Apple Airpods Headphones',\n",
       " 'Lightning Charging Cable;Wired Headphones',\n",
       " '20in Monitor;27in 4K Gaming Monitor',\n",
       " '20in Monitor;Lightning Charging Cable',\n",
       " 'Wired Headphones;34in Ultrawide Monitor',\n",
       " 'Bose SoundSport Headphones;Vareebadd Phone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Wired Headphones;Apple Airpods Headphones',\n",
       " 'Wired Headphones;Lightning Charging Cable',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Bose SoundSport Headphones;Google Phone',\n",
       " 'Lightning Charging Cable;Wired Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Google Phone;Bose SoundSport Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " '34in Ultrawide Monitor;USB-C Charging Cable',\n",
       " 'Apple Airpods Headphones;ThinkPad Laptop',\n",
       " 'AAA Batteries (4-pack);Lightning Charging Cable',\n",
       " 'iPhone;Apple Airpods Headphones',\n",
       " 'AAA Batteries (4-pack);AA Batteries (4-pack)',\n",
       " 'Lightning Charging Cable;Wired Headphones',\n",
       " 'Lightning Charging Cable;LG Washing Machine',\n",
       " 'AAA Batteries (4-pack);USB-C Charging Cable;Google Phone',\n",
       " 'USB-C Charging Cable;34in Ultrawide Monitor',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'iPhone;Wired Headphones;Lightning Charging Cable',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'USB-C Charging Cable;AA Batteries (4-pack)',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " 'Wired Headphones;Vareebadd Phone',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'AAA Batteries (4-pack);Flatscreen TV',\n",
       " 'AA Batteries (4-pack);Vareebadd Phone',\n",
       " 'AAA Batteries (4-pack);Wired Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'iPhone;27in 4K Gaming Monitor;Lightning Charging Cable',\n",
       " 'Macbook Pro Laptop;AAA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Apple Airpods Headphones;20in Monitor',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " 'Flatscreen TV;Flatscreen TV',\n",
       " '34in Ultrawide Monitor;Lightning Charging Cable',\n",
       " 'AAA Batteries (4-pack);Bose SoundSport Headphones',\n",
       " 'Vareebadd Phone;Wired Headphones',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Wired Headphones;Lightning Charging Cable',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'iPhone;AA Batteries (4-pack)',\n",
       " 'iPhone;Apple Airpods Headphones',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'Apple Airpods Headphones;Wired Headphones',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'USB-C Charging Cable;Wired Headphones',\n",
       " 'AAA Batteries (4-pack);AA Batteries (4-pack)',\n",
       " 'Lightning Charging Cable;Apple Airpods Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " 'Wired Headphones;Vareebadd Phone',\n",
       " 'Bose SoundSport Headphones;Lightning Charging Cable',\n",
       " 'Bose SoundSport Headphones;Apple Airpods Headphones',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " 'USB-C Charging Cable;Apple Airpods Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " '34in Ultrawide Monitor;AA Batteries (4-pack)',\n",
       " 'Google Phone;Bose SoundSport Headphones',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'AAA Batteries (4-pack);AAA Batteries (4-pack)',\n",
       " 'Lightning Charging Cable;34in Ultrawide Monitor',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Lightning Charging Cable;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Google Phone;USB-C Charging Cable;Bose SoundSport Headphones',\n",
       " 'ThinkPad Laptop;Wired Headphones',\n",
       " 'Wired Headphones;Flatscreen TV',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " '34in Ultrawide Monitor;USB-C Charging Cable',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Bose SoundSport Headphones;27in FHD Monitor',\n",
       " 'Bose SoundSport Headphones;Google Phone',\n",
       " 'Wired Headphones;Apple Airpods Headphones',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;Apple Airpods Headphones;iPhone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Bose SoundSport Headphones;Vareebadd Phone',\n",
       " 'Macbook Pro Laptop;Apple Airpods Headphones',\n",
       " 'USB-C Charging Cable;AA Batteries (4-pack)',\n",
       " 'AA Batteries (4-pack);AA Batteries (4-pack)',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Apple Airpods Headphones;iPhone',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Wired Headphones;Vareebadd Phone',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " '27in FHD Monitor;Apple Airpods Headphones',\n",
       " '34in Ultrawide Monitor;27in FHD Monitor',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Lightning Charging Cable;AAA Batteries (4-pack)',\n",
       " 'Flatscreen TV;Bose SoundSport Headphones',\n",
       " 'iPhone;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;USB-C Charging Cable',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'Vareebadd Phone;27in 4K Gaming Monitor',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Bose SoundSport Headphones;Bose SoundSport Headphones',\n",
       " 'Lightning Charging Cable;AAA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;AA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " '34in Ultrawide Monitor;AA Batteries (4-pack)',\n",
       " 'Flatscreen TV;Lightning Charging Cable',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Wired Headphones;AAA Batteries (4-pack)',\n",
       " '20in Monitor;Apple Airpods Headphones',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Wired Headphones;Lightning Charging Cable;iPhone',\n",
       " 'iPhone;Wired Headphones',\n",
       " 'Bose SoundSport Headphones;Lightning Charging Cable',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'AAA Batteries (4-pack);Wired Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Flatscreen TV;Bose SoundSport Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Bose SoundSport Headphones;AA Batteries (4-pack)',\n",
       " 'AAA Batteries (4-pack);USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;AAA Batteries (4-pack)',\n",
       " '34in Ultrawide Monitor;Lightning Charging Cable',\n",
       " 'AAA Batteries (4-pack);USB-C Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Bose SoundSport Headphones;USB-C Charging Cable;Google Phone',\n",
       " 'Apple Airpods Headphones;Bose SoundSport Headphones',\n",
       " 'Bose SoundSport Headphones;Google Phone',\n",
       " 'AA Batteries (4-pack);AAA Batteries (4-pack)',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " '34in Ultrawide Monitor;AA Batteries (4-pack)',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Bose SoundSport Headphones;Apple Airpods Headphones',\n",
       " 'Lightning Charging Cable;Lightning Charging Cable',\n",
       " 'Lightning Charging Cable;Macbook Pro Laptop',\n",
       " 'Vareebadd Phone;Wired Headphones',\n",
       " 'AA Batteries (4-pack);Apple Airpods Headphones',\n",
       " 'AA Batteries (4-pack);Lightning Charging Cable',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'AA Batteries (4-pack);Google Phone',\n",
       " 'Bose SoundSport Headphones;Google Phone',\n",
       " 'Apple Airpods Headphones;USB-C Charging Cable',\n",
       " 'Wired Headphones;Lightning Charging Cable',\n",
       " 'USB-C Charging Cable;iPhone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Lightning Charging Cable;Lightning Charging Cable',\n",
       " 'ThinkPad Laptop;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'AA Batteries (4-pack);iPhone',\n",
       " '27in FHD Monitor;Lightning Charging Cable',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'AAA Batteries (4-pack);USB-C Charging Cable',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'AAA Batteries (4-pack);Wired Headphones',\n",
       " 'Apple Airpods Headphones;Apple Airpods Headphones',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Apple Airpods Headphones;Lightning Charging Cable',\n",
       " 'iPhone;Apple Airpods Headphones',\n",
       " 'AA Batteries (4-pack);Wired Headphones;USB-C Charging Cable;Google Phone',\n",
       " '34in Ultrawide Monitor;34in Ultrawide Monitor',\n",
       " 'AAA Batteries (4-pack);AAA Batteries (4-pack)',\n",
       " 'Wired Headphones;AAA Batteries (4-pack)',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Vareebadd Phone;AA Batteries (4-pack)',\n",
       " 'Bose SoundSport Headphones;Wired Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Google Phone;27in FHD Monitor',\n",
       " 'Apple Airpods Headphones;Wired Headphones',\n",
       " 'AA Batteries (4-pack);Wired Headphones',\n",
       " 'iPhone;Lightning Charging Cable',\n",
       " 'Wired Headphones;Vareebadd Phone',\n",
       " 'USB-C Charging Cable;Vareebadd Phone',\n",
       " 'USB-C Charging Cable;USB-C Charging Cable',\n",
       " 'USB-C Charging Cable;Wired Headphones;Google Phone',\n",
       " '34in Ultrawide Monitor;Bose SoundSport Headphones',\n",
       " 'Vareebadd Phone;USB-C Charging Cable',\n",
       " 'iPhone;Apple Airpods Headphones',\n",
       " 'Wired Headphones;Google Phone',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'Google Phone;Wired Headphones',\n",
       " 'AAA Batteries (4-pack);Lightning Charging Cable',\n",
       " 'Lightning Charging Cable;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;ThinkPad Laptop',\n",
       " 'Wired Headphones;iPhone',\n",
       " 'Vareebadd Phone;27in FHD Monitor',\n",
       " 'Google Phone;Bose SoundSport Headphones',\n",
       " 'USB-C Charging Cable;Google Phone',\n",
       " 'Wired Headphones;Vareebadd Phone',\n",
       " 'Lightning Charging Cable;Wired Headphones',\n",
       " 'Apple Airpods Headphones;Wired Headphones',\n",
       " 'Wired Headphones;27in FHD Monitor',\n",
       " 'Apple Airpods Headphones;Lightning Charging Cable',\n",
       " 'Google Phone;USB-C Charging Cable',\n",
       " 'Lightning Charging Cable;iPhone',\n",
       " 'AAA Batteries (4-pack);iPhone',\n",
       " ...]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ensemble.to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "for achat in ensemble.to_list():\n",
    "    products = achat.split(';')\n",
    "#     print(products)\n",
    "    count.update(Counter(combinations(products, 2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({('Wired Headphones', 'USB-C Charging Cable'): 93,\n",
       "         ('Apple Airpods Headphones', 'AA Batteries (4-pack)'): 28,\n",
       "         ('Wired Headphones', 'Vareebadd Phone'): 66,\n",
       "         ('USB-C Charging Cable', 'Google Phone'): 498,\n",
       "         ('Bose SoundSport Headphones', 'Google Phone'): 123,\n",
       "         ('iPhone', 'Apple Airpods Headphones'): 184,\n",
       "         ('Apple Airpods Headphones', 'Google Phone'): 10,\n",
       "         ('Wired Headphones', 'Apple Airpods Headphones'): 48,\n",
       "         ('Wired Headphones', 'iPhone'): 216,\n",
       "         ('Apple Airpods Headphones', 'iPhone'): 171,\n",
       "         ('USB-C Charging Cable', 'Apple Airpods Headphones'): 29,\n",
       "         ('Wired Headphones', 'Lightning Charging Cable'): 71,\n",
       "         ('iPhone', 'Lightning Charging Cable'): 487,\n",
       "         ('Bose SoundSport Headphones', '27in FHD Monitor'): 8,\n",
       "         ('Google Phone', 'USB-C Charging Cable'): 468,\n",
       "         ('AAA Batteries (4-pack)', 'AA Batteries (4-pack)'): 42,\n",
       "         ('USB-C Charging Cable', 'Wired Headphones'): 105,\n",
       "         ('USB-C Charging Cable', 'Vareebadd Phone'): 178,\n",
       "         ('Vareebadd Phone', 'Wired Headphones'): 81,\n",
       "         ('34in Ultrawide Monitor', 'Lightning Charging Cable'): 14,\n",
       "         ('Lightning Charging Cable', 'Bose SoundSport Headphones'): 42,\n",
       "         ('Google Phone', 'Wired Headphones'): 207,\n",
       "         ('Lightning Charging Cable', 'Apple Airpods Headphones'): 54,\n",
       "         ('Google Phone', 'iPhone'): 4,\n",
       "         ('iPhone', 'Wired Headphones'): 236,\n",
       "         ('20in Monitor', 'Wired Headphones'): 10,\n",
       "         ('Wired Headphones', 'Google Phone'): 203,\n",
       "         ('AA Batteries (4-pack)', 'AA Batteries (4-pack)'): 35,\n",
       "         ('Bose SoundSport Headphones', '20in Monitor'): 9,\n",
       "         ('Wired Headphones', 'Bose SoundSport Headphones'): 39,\n",
       "         ('Vareebadd Phone', 'USB-C Charging Cable'): 176,\n",
       "         ('Lightning Charging Cable', 'iPhone'): 496,\n",
       "         ('Bose SoundSport Headphones', 'Vareebadd Phone'): 43,\n",
       "         ('AA Batteries (4-pack)', 'AAA Batteries (4-pack)'): 44,\n",
       "         ('27in 4K Gaming Monitor', 'AAA Batteries (4-pack)'): 17,\n",
       "         ('AA Batteries (4-pack)', 'USB-C Charging Cable'): 37,\n",
       "         ('Lightning Charging Cable', 'USB-C Charging Cable'): 45,\n",
       "         ('Macbook Pro Laptop', 'AA Batteries (4-pack)'): 8,\n",
       "         ('Macbook Pro Laptop', 'Bose SoundSport Headphones'): 8,\n",
       "         ('34in Ultrawide Monitor', 'Wired Headphones'): 14,\n",
       "         ('Google Phone', 'Bose SoundSport Headphones'): 104,\n",
       "         ('Bose SoundSport Headphones', 'Wired Headphones'): 33,\n",
       "         ('AA Batteries (4-pack)', 'Wired Headphones'): 41,\n",
       "         ('20in Monitor', 'USB-C Charging Cable'): 16,\n",
       "         ('Apple Airpods Headphones', 'Bose SoundSport Headphones'): 24,\n",
       "         ('ThinkPad Laptop', 'Wired Headphones'): 8,\n",
       "         ('LG Dryer', 'Flatscreen TV'): 1,\n",
       "         ('Apple Airpods Headphones', 'AAA Batteries (4-pack)'): 39,\n",
       "         ('Lightning Charging Cable', 'Wired Headphones'): 57,\n",
       "         ('AAA Batteries (4-pack)', '27in 4K Gaming Monitor'): 12,\n",
       "         ('AA Batteries (4-pack)', 'Bose SoundSport Headphones'): 20,\n",
       "         ('Apple Airpods Headphones', 'USB-C Charging Cable'): 33,\n",
       "         ('ThinkPad Laptop', 'Apple Airpods Headphones'): 11,\n",
       "         ('Flatscreen TV', 'AAA Batteries (4-pack)'): 9,\n",
       "         ('USB-C Charging Cable', 'AAA Batteries (4-pack)'): 43,\n",
       "         ('27in FHD Monitor', 'USB-C Charging Cable'): 24,\n",
       "         ('27in 4K Gaming Monitor', 'AA Batteries (4-pack)'): 15,\n",
       "         ('USB-C Charging Cable', '20in Monitor'): 9,\n",
       "         ('Wired Headphones', 'AA Batteries (4-pack)'): 40,\n",
       "         ('iPhone', '27in 4K Gaming Monitor'): 5,\n",
       "         ('AAA Batteries (4-pack)', 'Lightning Charging Cable'): 43,\n",
       "         ('Lightning Charging Cable', '27in FHD Monitor'): 19,\n",
       "         ('Flatscreen TV', 'USB-C Charging Cable'): 9,\n",
       "         ('Bose SoundSport Headphones', 'LG Washing Machine'): 2,\n",
       "         ('Lightning Charging Cable', 'Macbook Pro Laptop'): 15,\n",
       "         ('USB-C Charging Cable', 'Lightning Charging Cable'): 54,\n",
       "         ('USB-C Charging Cable', 'iPhone'): 12,\n",
       "         ('AA Batteries (4-pack)', 'Lightning Charging Cable'): 54,\n",
       "         ('Wired Headphones', '20in Monitor'): 8,\n",
       "         ('USB-C Charging Cable', 'AA Batteries (4-pack)'): 36,\n",
       "         ('LG Dryer', 'AA Batteries (4-pack)'): 3,\n",
       "         ('USB-C Charging Cable', 'Bose SoundSport Headphones'): 46,\n",
       "         ('AAA Batteries (4-pack)', 'Apple Airpods Headphones'): 38,\n",
       "         ('Lightning Charging Cable', 'Lightning Charging Cable'): 53,\n",
       "         ('Vareebadd Phone', 'AAA Batteries (4-pack)'): 3,\n",
       "         ('Flatscreen TV', 'Apple Airpods Headphones'): 4,\n",
       "         ('Wired Headphones', 'AAA Batteries (4-pack)'): 45,\n",
       "         ('AAA Batteries (4-pack)', 'Bose SoundSport Headphones'): 30,\n",
       "         ('AAA Batteries (4-pack)', 'Flatscreen TV'): 11,\n",
       "         ('Lightning Charging Cable', 'AAA Batteries (4-pack)'): 36,\n",
       "         ('Wired Headphones', 'ThinkPad Laptop'): 6,\n",
       "         ('Lightning Charging Cable', 'Flatscreen TV'): 11,\n",
       "         ('AA Batteries (4-pack)', '27in 4K Gaming Monitor'): 10,\n",
       "         ('Lightning Charging Cable', 'Google Phone'): 15,\n",
       "         ('AA Batteries (4-pack)', 'Flatscreen TV'): 8,\n",
       "         ('34in Ultrawide Monitor', 'Flatscreen TV'): 5,\n",
       "         ('AAA Batteries (4-pack)', '27in FHD Monitor'): 25,\n",
       "         ('Apple Airpods Headphones', 'Lightning Charging Cable'): 57,\n",
       "         ('Google Phone', 'Google Phone'): 3,\n",
       "         ('27in FHD Monitor', '27in 4K Gaming Monitor'): 6,\n",
       "         ('AA Batteries (4-pack)', '34in Ultrawide Monitor'): 19,\n",
       "         ('Wired Headphones', 'Flatscreen TV'): 8,\n",
       "         ('27in FHD Monitor', 'AAA Batteries (4-pack)'): 15,\n",
       "         ('Apple Airpods Headphones', 'Wired Headphones'): 50,\n",
       "         ('Lightning Charging Cable', 'AA Batteries (4-pack)'): 48,\n",
       "         ('USB-C Charging Cable', '27in 4K Gaming Monitor'): 11,\n",
       "         ('AAA Batteries (4-pack)', '34in Ultrawide Monitor'): 12,\n",
       "         ('Wired Headphones', 'Wired Headphones'): 35,\n",
       "         ('Bose SoundSport Headphones', 'USB-C Charging Cable'): 55,\n",
       "         ('Google Phone', 'AA Batteries (4-pack)'): 10,\n",
       "         ('Macbook Pro Laptop', 'Apple Airpods Headphones'): 9,\n",
       "         ('USB-C Charging Cable', '34in Ultrawide Monitor'): 15,\n",
       "         ('20in Monitor', 'Lightning Charging Cable'): 10,\n",
       "         ('Bose SoundSport Headphones', 'AA Batteries (4-pack)'): 31,\n",
       "         ('AAA Batteries (4-pack)', 'USB-C Charging Cable'): 49,\n",
       "         ('ThinkPad Laptop', 'USB-C Charging Cable'): 11,\n",
       "         ('Bose SoundSport Headphones', 'Macbook Pro Laptop'): 7,\n",
       "         ('27in 4K Gaming Monitor', 'Bose SoundSport Headphones'): 10,\n",
       "         ('USB-C Charging Cable', 'USB-C Charging Cable'): 46,\n",
       "         ('Flatscreen TV', 'AA Batteries (4-pack)'): 12,\n",
       "         ('27in 4K Gaming Monitor', 'Lightning Charging Cable'): 16,\n",
       "         ('AA Batteries (4-pack)', 'Apple Airpods Headphones'): 40,\n",
       "         ('Apple Airpods Headphones', 'Apple Airpods Headphones'): 23,\n",
       "         ('27in FHD Monitor', 'Apple Airpods Headphones'): 11,\n",
       "         ('Apple Airpods Headphones', '34in Ultrawide Monitor'): 8,\n",
       "         ('AAA Batteries (4-pack)', 'Wired Headphones'): 39,\n",
       "         ('ThinkPad Laptop', 'AA Batteries (4-pack)'): 10,\n",
       "         ('AA Batteries (4-pack)', 'Google Phone'): 14,\n",
       "         ('27in FHD Monitor', 'Wired Headphones'): 12,\n",
       "         ('iPhone', 'USB-C Charging Cable'): 17,\n",
       "         ('Google Phone', 'Apple Airpods Headphones'): 11,\n",
       "         ('Flatscreen TV', 'Google Phone'): 2,\n",
       "         ('Macbook Pro Laptop', 'iPhone'): 4,\n",
       "         ('iPhone', 'iPhone'): 2,\n",
       "         ('Lightning Charging Cable', '34in Ultrawide Monitor'): 18,\n",
       "         ('Google Phone', 'LG Washing Machine'): 1,\n",
       "         ('Wired Headphones', 'LG Washing Machine'): 3,\n",
       "         ('Macbook Pro Laptop', '27in FHD Monitor'): 5,\n",
       "         ('Bose SoundSport Headphones', 'Apple Airpods Headphones'): 26,\n",
       "         ('Vareebadd Phone', 'Bose SoundSport Headphones'): 33,\n",
       "         ('ThinkPad Laptop', 'AAA Batteries (4-pack)'): 13,\n",
       "         ('Bose SoundSport Headphones', 'Bose SoundSport Headphones'): 27,\n",
       "         ('AAA Batteries (4-pack)', 'iPhone'): 12,\n",
       "         ('27in FHD Monitor', 'Bose SoundSport Headphones'): 18,\n",
       "         ('Macbook Pro Laptop', 'AAA Batteries (4-pack)'): 9,\n",
       "         ('Bose SoundSport Headphones', 'Flatscreen TV'): 7,\n",
       "         ('Macbook Pro Laptop', '27in 4K Gaming Monitor'): 8,\n",
       "         ('Vareebadd Phone', 'Google Phone'): 5,\n",
       "         ('Google Phone', 'Lightning Charging Cable'): 13,\n",
       "         ('Bose SoundSport Headphones', 'ThinkPad Laptop'): 6,\n",
       "         ('34in Ultrawide Monitor', 'Apple Airpods Headphones'): 5,\n",
       "         ('Vareebadd Phone', 'AA Batteries (4-pack)'): 5,\n",
       "         ('Macbook Pro Laptop', 'Wired Headphones'): 12,\n",
       "         ('Apple Airpods Headphones', 'Flatscreen TV'): 9,\n",
       "         ('Wired Headphones', '27in FHD Monitor'): 10,\n",
       "         ('Google Phone', '27in 4K Gaming Monitor'): 4,\n",
       "         ('27in FHD Monitor', 'Lightning Charging Cable'): 17,\n",
       "         ('AAA Batteries (4-pack)', 'AAA Batteries (4-pack)'): 46,\n",
       "         ('Wired Headphones', '27in 4K Gaming Monitor'): 13,\n",
       "         ('Bose SoundSport Headphones', 'Lightning Charging Cable'): 26,\n",
       "         ('27in 4K Gaming Monitor', '27in 4K Gaming Monitor'): 5,\n",
       "         ('34in Ultrawide Monitor', 'AA Batteries (4-pack)'): 13,\n",
       "         ('27in 4K Gaming Monitor', 'USB-C Charging Cable'): 10,\n",
       "         ('Google Phone', 'AAA Batteries (4-pack)'): 7,\n",
       "         ('Lightning Charging Cable', 'ThinkPad Laptop'): 8,\n",
       "         ('Bose SoundSport Headphones', '27in 4K Gaming Monitor'): 8,\n",
       "         ('Bose SoundSport Headphones', 'AAA Batteries (4-pack)'): 25,\n",
       "         ('Flatscreen TV', 'iPhone'): 4,\n",
       "         ('27in FHD Monitor', 'AA Batteries (4-pack)'): 15,\n",
       "         ('Vareebadd Phone', 'iPhone'): 3,\n",
       "         ('27in 4K Gaming Monitor', 'Wired Headphones'): 14,\n",
       "         ('iPhone', 'AA Batteries (4-pack)'): 14,\n",
       "         ('27in FHD Monitor', 'LG Dryer'): 2,\n",
       "         ('27in FHD Monitor', '20in Monitor'): 4,\n",
       "         ('AA Batteries (4-pack)', '20in Monitor'): 7,\n",
       "         ('AA Batteries (4-pack)', 'LG Dryer'): 3,\n",
       "         ('Apple Airpods Headphones', '20in Monitor'): 7,\n",
       "         ('Flatscreen TV', 'Wired Headphones'): 2,\n",
       "         ('Vareebadd Phone', 'Apple Airpods Headphones'): 4,\n",
       "         ('34in Ultrawide Monitor', '34in Ultrawide Monitor'): 7,\n",
       "         ('USB-C Charging Cable', 'Flatscreen TV'): 8,\n",
       "         ('Macbook Pro Laptop', '20in Monitor'): 4,\n",
       "         ('USB-C Charging Cable', '27in FHD Monitor'): 19,\n",
       "         ('iPhone', 'AAA Batteries (4-pack)'): 16,\n",
       "         ('Vareebadd Phone', '27in 4K Gaming Monitor'): 2,\n",
       "         ('27in 4K Gaming Monitor', 'Macbook Pro Laptop'): 4,\n",
       "         ('27in FHD Monitor', '34in Ultrawide Monitor'): 6,\n",
       "         ('iPhone', 'ThinkPad Laptop'): 4,\n",
       "         ('20in Monitor', '27in 4K Gaming Monitor'): 1,\n",
       "         ('Wired Headphones', '34in Ultrawide Monitor'): 14,\n",
       "         ('34in Ultrawide Monitor', 'USB-C Charging Cable'): 11,\n",
       "         ('Apple Airpods Headphones', 'ThinkPad Laptop'): 5,\n",
       "         ('Lightning Charging Cable', 'LG Washing Machine'): 4,\n",
       "         ('AAA Batteries (4-pack)', 'Google Phone'): 15,\n",
       "         ('AA Batteries (4-pack)', 'Vareebadd Phone'): 6,\n",
       "         ('Flatscreen TV', 'Flatscreen TV'): 6,\n",
       "         ('34in Ultrawide Monitor', '27in FHD Monitor'): 4,\n",
       "         ('Flatscreen TV', 'Bose SoundSport Headphones'): 5,\n",
       "         ('Flatscreen TV', 'Lightning Charging Cable'): 9,\n",
       "         ('20in Monitor', 'Apple Airpods Headphones'): 5,\n",
       "         ('AA Batteries (4-pack)', 'iPhone'): 17,\n",
       "         ('Google Phone', '27in FHD Monitor'): 3,\n",
       "         ('34in Ultrawide Monitor', 'Bose SoundSport Headphones'): 9,\n",
       "         ('Vareebadd Phone', '27in FHD Monitor'): 2,\n",
       "         ('27in 4K Gaming Monitor', 'LG Washing Machine'): 1,\n",
       "         ('ThinkPad Laptop', 'Flatscreen TV'): 3,\n",
       "         ('27in 4K Gaming Monitor', 'Apple Airpods Headphones'): 14,\n",
       "         ('27in 4K Gaming Monitor', 'Flatscreen TV'): 3,\n",
       "         ('Macbook Pro Laptop', 'Lightning Charging Cable'): 6,\n",
       "         ('27in FHD Monitor', '27in FHD Monitor'): 9,\n",
       "         ('34in Ultrawide Monitor', 'AAA Batteries (4-pack)'): 12,\n",
       "         ('iPhone', 'Bose SoundSport Headphones'): 6,\n",
       "         ('Lightning Charging Cable', '20in Monitor'): 14,\n",
       "         ('Vareebadd Phone', 'ThinkPad Laptop'): 1,\n",
       "         ('iPhone', 'Google Phone'): 5,\n",
       "         ('Google Phone', '34in Ultrawide Monitor'): 3,\n",
       "         ('AAA Batteries (4-pack)', 'LG Washing Machine'): 3,\n",
       "         ('Apple Airpods Headphones', 'LG Washing Machine'): 1,\n",
       "         ('34in Ultrawide Monitor', '27in 4K Gaming Monitor'): 4,\n",
       "         ('Lightning Charging Cable', '27in 4K Gaming Monitor'): 16,\n",
       "         ('20in Monitor', 'Bose SoundSport Headphones'): 6,\n",
       "         ('Flatscreen TV', '27in 4K Gaming Monitor'): 2,\n",
       "         ('27in 4K Gaming Monitor', '27in FHD Monitor'): 2,\n",
       "         ('20in Monitor', '20in Monitor'): 3,\n",
       "         ('Flatscreen TV', '27in FHD Monitor'): 4,\n",
       "         ('Apple Airpods Headphones', '27in FHD Monitor'): 13,\n",
       "         ('Bose SoundSport Headphones', 'iPhone'): 6,\n",
       "         ('AAA Batteries (4-pack)', 'ThinkPad Laptop'): 14,\n",
       "         ('LG Dryer', '27in 4K Gaming Monitor'): 2,\n",
       "         ('20in Monitor', 'LG Washing Machine'): 2,\n",
       "         ('LG Dryer', 'Apple Airpods Headphones'): 1,\n",
       "         ('LG Dryer', 'Google Phone'): 1,\n",
       "         ('AA Batteries (4-pack)', 'Macbook Pro Laptop'): 9,\n",
       "         ('27in 4K Gaming Monitor', 'iPhone'): 4,\n",
       "         ('20in Monitor', 'AAA Batteries (4-pack)'): 6,\n",
       "         ('ThinkPad Laptop', 'Lightning Charging Cable'): 10,\n",
       "         ('ThinkPad Laptop', 'Macbook Pro Laptop'): 4,\n",
       "         ('34in Ultrawide Monitor', 'Macbook Pro Laptop'): 2,\n",
       "         ('Apple Airpods Headphones', 'Macbook Pro Laptop'): 7,\n",
       "         ('USB-C Charging Cable', 'ThinkPad Laptop'): 9,\n",
       "         ('AA Batteries (4-pack)', '27in FHD Monitor'): 11,\n",
       "         ('Apple Airpods Headphones', '27in 4K Gaming Monitor'): 7,\n",
       "         ('27in 4K Gaming Monitor', 'Vareebadd Phone'): 1,\n",
       "         ('LG Dryer', 'Lightning Charging Cable'): 2,\n",
       "         ('Macbook Pro Laptop', '34in Ultrawide Monitor'): 5,\n",
       "         ('iPhone', 'Vareebadd Phone'): 4,\n",
       "         ('Lightning Charging Cable', 'Vareebadd Phone'): 3,\n",
       "         ('ThinkPad Laptop', 'Bose SoundSport Headphones'): 6,\n",
       "         ('iPhone', '34in Ultrawide Monitor'): 5,\n",
       "         ('Vareebadd Phone', '34in Ultrawide Monitor'): 2,\n",
       "         ('27in FHD Monitor', 'Google Phone'): 5,\n",
       "         ('AA Batteries (4-pack)', 'ThinkPad Laptop'): 7,\n",
       "         ('27in FHD Monitor', 'iPhone'): 1,\n",
       "         ('Bose SoundSport Headphones', '34in Ultrawide Monitor'): 7,\n",
       "         ('USB-C Charging Cable', 'Macbook Pro Laptop'): 10,\n",
       "         ('34in Ultrawide Monitor', 'Google Phone'): 2,\n",
       "         ('AAA Batteries (4-pack)', 'Macbook Pro Laptop'): 8,\n",
       "         ('27in FHD Monitor', 'Flatscreen TV'): 1,\n",
       "         ('20in Monitor', 'AA Batteries (4-pack)'): 8,\n",
       "         ('34in Ultrawide Monitor', 'iPhone'): 8,\n",
       "         ('Google Phone', 'ThinkPad Laptop'): 2,\n",
       "         ('Macbook Pro Laptop', 'USB-C Charging Cable'): 8,\n",
       "         ('ThinkPad Laptop', '27in 4K Gaming Monitor'): 2,\n",
       "         ('iPhone', 'Flatscreen TV'): 6,\n",
       "         ('ThinkPad Laptop', '27in FHD Monitor'): 3,\n",
       "         ('Flatscreen TV', '20in Monitor'): 2,\n",
       "         ('Apple Airpods Headphones', 'LG Dryer'): 2,\n",
       "         ('USB-C Charging Cable', 'LG Dryer'): 1,\n",
       "         ('Macbook Pro Laptop', 'Macbook Pro Laptop'): 2,\n",
       "         ('Apple Airpods Headphones', 'Vareebadd Phone'): 7,\n",
       "         ('Macbook Pro Laptop', 'Flatscreen TV'): 3,\n",
       "         ('iPhone', 'Macbook Pro Laptop'): 2,\n",
       "         ('27in 4K Gaming Monitor', 'ThinkPad Laptop'): 3,\n",
       "         ('LG Washing Machine', 'AAA Batteries (4-pack)'): 1,\n",
       "         ('ThinkPad Laptop', 'Google Phone'): 3,\n",
       "         ('LG Washing Machine', '34in Ultrawide Monitor'): 1,\n",
       "         ('Macbook Pro Laptop', 'Google Phone'): 4,\n",
       "         ('27in 4K Gaming Monitor', 'Google Phone'): 2,\n",
       "         ('AAA Batteries (4-pack)', 'Vareebadd Phone'): 3,\n",
       "         ('Flatscreen TV', '34in Ultrawide Monitor'): 2,\n",
       "         ('iPhone', 'LG Washing Machine'): 1,\n",
       "         ('LG Dryer', 'Wired Headphones'): 1,\n",
       "         ('Flatscreen TV', 'ThinkPad Laptop'): 3,\n",
       "         ('LG Washing Machine', '27in FHD Monitor'): 1,\n",
       "         ('Wired Headphones', 'Macbook Pro Laptop'): 7,\n",
       "         ('27in FHD Monitor', 'Macbook Pro Laptop'): 2,\n",
       "         ('20in Monitor', '34in Ultrawide Monitor'): 1,\n",
       "         ('20in Monitor', 'Macbook Pro Laptop'): 2,\n",
       "         ('Google Phone', 'Macbook Pro Laptop'): 3,\n",
       "         ('34in Ultrawide Monitor', '20in Monitor'): 1,\n",
       "         ('Google Phone', '20in Monitor'): 1,\n",
       "         ('LG Washing Machine', 'Lightning Charging Cable'): 2,\n",
       "         ('Vareebadd Phone', 'Flatscreen TV'): 2,\n",
       "         ('AAA Batteries (4-pack)', '20in Monitor'): 4,\n",
       "         ('iPhone', '20in Monitor'): 1,\n",
       "         ('LG Washing Machine', 'Macbook Pro Laptop'): 2,\n",
       "         ('ThinkPad Laptop', '34in Ultrawide Monitor'): 3,\n",
       "         ('Vareebadd Phone', 'LG Dryer'): 1,\n",
       "         ('20in Monitor', 'Google Phone'): 3,\n",
       "         ('Lightning Charging Cable', 'LG Dryer'): 1,\n",
       "         ('LG Dryer', 'ThinkPad Laptop'): 1,\n",
       "         ('LG Washing Machine', 'AA Batteries (4-pack)'): 1,\n",
       "         ('27in 4K Gaming Monitor', '20in Monitor'): 1,\n",
       "         ('ThinkPad Laptop', '20in Monitor'): 1,\n",
       "         ('27in 4K Gaming Monitor', '34in Ultrawide Monitor'): 2,\n",
       "         ('27in FHD Monitor', 'ThinkPad Laptop'): 3,\n",
       "         ('AAA Batteries (4-pack)', 'LG Dryer'): 1,\n",
       "         ('34in Ultrawide Monitor', 'ThinkPad Laptop'): 1,\n",
       "         ('LG Washing Machine', 'iPhone'): 1,\n",
       "         ('Flatscreen TV', 'Vareebadd Phone'): 1,\n",
       "         ('LG Dryer', 'AAA Batteries (4-pack)'): 1,\n",
       "         ('20in Monitor', 'iPhone'): 1,\n",
       "         ('Google Phone', 'Flatscreen TV'): 2,\n",
       "         ('34in Ultrawide Monitor', 'Vareebadd Phone'): 2,\n",
       "         ('Vareebadd Phone', 'Lightning Charging Cable'): 1,\n",
       "         ('ThinkPad Laptop', 'iPhone'): 2,\n",
       "         ('Flatscreen TV', 'Macbook Pro Laptop'): 1,\n",
       "         ('LG Washing Machine', 'Wired Headphones'): 1,\n",
       "         ('ThinkPad Laptop', 'ThinkPad Laptop'): 2,\n",
       "         ('ThinkPad Laptop', 'Vareebadd Phone'): 1,\n",
       "         ('20in Monitor', 'ThinkPad Laptop'): 1})"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(('USB-C Charging Cable', 'Google Phone'), 498)]"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count.most_common(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('USB-C Charging Cable', 'Google Phone') 498\n",
      "('Lightning Charging Cable', 'iPhone') 496\n",
      "('iPhone', 'Lightning Charging Cable') 487\n",
      "('Google Phone', 'USB-C Charging Cable') 468\n",
      "('iPhone', 'Wired Headphones') 236\n",
      "('Wired Headphones', 'iPhone') 216\n",
      "('Google Phone', 'Wired Headphones') 207\n",
      "('Wired Headphones', 'Google Phone') 203\n",
      "('iPhone', 'Apple Airpods Headphones') 184\n",
      "('USB-C Charging Cable', 'Vareebadd Phone') 178\n"
     ]
    }
   ],
   "source": [
    "for ensemble, c in count.most_common(10):\n",
    "    print(ensemble, c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Produit le plus vendu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Product</th>\n",
       "      <th>Quantity Ordered</th>\n",
       "      <th>Price Each</th>\n",
       "      <th>Purchase Address</th>\n",
       "      <th>Month</th>\n",
       "      <th>chiffre_daffaire</th>\n",
       "      <th>ville</th>\n",
       "      <th>heure</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Order Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-01-01 03:07:00</th>\n",
       "      <td>147268</td>\n",
       "      <td>Wired Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>11.99</td>\n",
       "      <td>9 Lake St, New York City, NY 10001</td>\n",
       "      <td>January</td>\n",
       "      <td>11.99</td>\n",
       "      <td>New York City</td>\n",
       "      <td>3</td>\n",
       "      <td>03:07:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 03:40:00</th>\n",
       "      <td>148041</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>1</td>\n",
       "      <td>11.95</td>\n",
       "      <td>760 Church St, San Francisco, CA 94016</td>\n",
       "      <td>January</td>\n",
       "      <td>11.95</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>3</td>\n",
       "      <td>03:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 04:56:00</th>\n",
       "      <td>149343</td>\n",
       "      <td>Apple Airpods Headphones</td>\n",
       "      <td>1</td>\n",
       "      <td>150.00</td>\n",
       "      <td>735 5th St, New York City, NY 10001</td>\n",
       "      <td>January</td>\n",
       "      <td>150.00</td>\n",
       "      <td>New York City</td>\n",
       "      <td>4</td>\n",
       "      <td>04:56:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 05:53:00</th>\n",
       "      <td>149964</td>\n",
       "      <td>AAA Batteries (4-pack)</td>\n",
       "      <td>1</td>\n",
       "      <td>2.99</td>\n",
       "      <td>75 Jackson St, Dallas, TX 75001</td>\n",
       "      <td>January</td>\n",
       "      <td>2.99</td>\n",
       "      <td>Dallas</td>\n",
       "      <td>5</td>\n",
       "      <td>05:53:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01 06:03:00</th>\n",
       "      <td>149350</td>\n",
       "      <td>USB-C Charging Cable</td>\n",
       "      <td>2</td>\n",
       "      <td>11.95</td>\n",
       "      <td>943 2nd St, Atlanta, GA 30301</td>\n",
       "      <td>January</td>\n",
       "      <td>23.90</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>6</td>\n",
       "      <td>06:03:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Order ID                   Product  Quantity Ordered  \\\n",
       "Order Date                                                                 \n",
       "2019-01-01 03:07:00   147268          Wired Headphones                 1   \n",
       "2019-01-01 03:40:00   148041      USB-C Charging Cable                 1   \n",
       "2019-01-01 04:56:00   149343  Apple Airpods Headphones                 1   \n",
       "2019-01-01 05:53:00   149964    AAA Batteries (4-pack)                 1   \n",
       "2019-01-01 06:03:00   149350      USB-C Charging Cable                 2   \n",
       "\n",
       "                     Price Each                        Purchase Address  \\\n",
       "Order Date                                                                \n",
       "2019-01-01 03:07:00       11.99      9 Lake St, New York City, NY 10001   \n",
       "2019-01-01 03:40:00       11.95  760 Church St, San Francisco, CA 94016   \n",
       "2019-01-01 04:56:00      150.00     735 5th St, New York City, NY 10001   \n",
       "2019-01-01 05:53:00        2.99         75 Jackson St, Dallas, TX 75001   \n",
       "2019-01-01 06:03:00       11.95           943 2nd St, Atlanta, GA 30301   \n",
       "\n",
       "                       Month  chiffre_daffaire          ville  heure      time  \n",
       "Order Date                                                                      \n",
       "2019-01-01 03:07:00  January             11.99  New York City      3  03:07:00  \n",
       "2019-01-01 03:40:00  January             11.95  San Francisco      3  03:40:00  \n",
       "2019-01-01 04:56:00  January            150.00  New York City      4  04:56:00  \n",
       "2019-01-01 05:53:00  January              2.99         Dallas      5  05:53:00  \n",
       "2019-01-01 06:03:00  January             23.90        Atlanta      6  06:03:00  "
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Product\n",
       "AAA Batteries (4-pack)        30487\n",
       "AA Batteries (4-pack)         27148\n",
       "USB-C Charging Cable          23555\n",
       "Lightning Charging Cable      22841\n",
       "Wired Headphones              20201\n",
       "Apple Airpods Headphones      15383\n",
       "Bose SoundSport Headphones    13236\n",
       "27in FHD Monitor               7429\n",
       "iPhone                         6732\n",
       "27in 4K Gaming Monitor         6134\n",
       "34in Ultrawide Monitor         6076\n",
       "Google Phone                   5440\n",
       "Flatscreen TV                  4724\n",
       "Macbook Pro Laptop             4645\n",
       "20in Monitor                   4058\n",
       "ThinkPad Laptop                4054\n",
       "Vareebadd Phone                2023\n",
       "LG Washing Machine              649\n",
       "LG Dryer                        640\n",
       "Name: Quantity Ordered, dtype: int64"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.groupby('Product')['Quantity Ordered'].sum().sort_values(ascending=False)"
   ]
  },
  {
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   "execution_count": null,
   "metadata": {
    "id": "MrQZhb8KBiPA"
   },
   "outputs": [],
   "source": []
  }
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