Customer-Lifetime-Value-Analysis.ipynb

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      "cell_type": "markdown",
      "source": [
        "# Customer Lifetime Value Analysis"
      ],
      "metadata": {
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      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Customer lifetime value analysis is used to estimate the total value of customers to the business over the lifetime of their relationship. It helps businesses make data-driven decisions on how to allocate their resources and improve their customer relationships."
      ],
      "metadata": {
        "id": "4Yfvdl7RirIC"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Customer lifetime value (CLV) can help you to answers the most important questions about sales to every company:\n",
        "\n",
        "How to Identify the most profitable customers?\n",
        "\n",
        "How can a company offer the best product and make the most money?\n",
        "\n",
        "How to segment profitable customers?\n",
        "\n",
        "How much budget need to spend to acquire customers?"
      ],
      "metadata": {
        "id": "-oJZTgwjpAD2"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Importing the necessary libraries"
      ],
      "metadata": {
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      "cell_type": "code",
      "execution_count": 1,
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      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Loading Data"
      ],
      "metadata": {
        "id": "WpcfN_vbqqGl"
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    },
    {
      "cell_type": "markdown",
      "source": [
        "\"This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011\n",
        "\n",
        "a cancelled transactions starts with a \"C\" in front of it.\n",
        "\n"
      ],
      "metadata": {
        "id": "NFjftTj2AsNx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data = pd.read_csv('/content/data.csv' ,encoding=\"ISO-8859-1\")"
      ],
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        "id": "b2MtSFvBL5sw"
      },
      "execution_count": 2,
      "outputs": []
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        "data.head()"
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      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  InvoiceNo StockCode                          Description  Quantity  \\\n",
              "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER       6.0   \n",
              "1    536365     71053                  WHITE METAL LANTERN       6.0   \n",
              "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER       8.0   \n",
              "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE       6.0   \n",
              "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.       6.0   \n",
              "\n",
              "      InvoiceDate  UnitPrice  CustomerID         Country  \n",
              "0  12/1/2010 8:26       2.55     17850.0  United Kingdom  \n",
              "1  12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
              "2  12/1/2010 8:26       2.75     17850.0  United Kingdom  \n",
              "3  12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
              "4  12/1/2010 8:26       3.39     17850.0  United Kingdom  "
            ],
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              "      <td>17850.0</td>\n",
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              "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
              "      <td>6.0</td>\n",
              "      <td>12/1/2010 8:26</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "      <td>United Kingdom</td>\n",
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          "metadata": {},
          "execution_count": 3
        }
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    },
    {
      "cell_type": "code",
      "source": [
        "data.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YEC1_MnGMBni",
        "outputId": "1d2accd9-803a-4231-f044-00eda1de1936"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(162913, 8)"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The data has 541909 Rows and 8 Columns."
      ],
      "metadata": {
        "id": "FmnLGLP7AQdW"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Data processing"
      ],
      "metadata": {
        "id": "pEK_yEB4BzQr"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Missing data"
      ],
      "metadata": {
        "id": "Xzz0ZdUdKBYn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7CyBpWjmC9SM",
        "outputId": "8905ae13-ad84-4590-d431-46a1667ebbd3"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "InvoiceNo          0\n",
              "StockCode          0\n",
              "Description      630\n",
              "Quantity           1\n",
              "InvoiceDate        1\n",
              "UnitPrice          1\n",
              "CustomerID     49493\n",
              "Country            1\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`CustomerID` 135080 of missing rows (24.93% missing values)\n",
        "\n",
        "The `CustomerID` column contains nearly a quarter of missing data. This column is essential for clustering customers,Imputing such a large percentage of missing values might introduce significant bias or noise into the analysis.\n",
        "By removing rows with missing values in the CustomerID and Description columns, we aim to construct a cleaner and more reliable dataset"
      ],
      "metadata": {
        "id": "NFt8dYsGGylD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data = data[data['CustomerID'].isna()==False]"
      ],
      "metadata": {
        "id": "ZfHeM22xIHxq"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data.isnull().sum()"
      ],
      "metadata": {
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        },
        "id": "sE7NZj9IJmvN",
        "outputId": "bad13c8c-3641-41a1-c515-e8f923b06f7b"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "InvoiceNo      0\n",
              "StockCode      0\n",
              "Description    0\n",
              "Quantity       0\n",
              "InvoiceDate    0\n",
              "UnitPrice      0\n",
              "CustomerID     0\n",
              "Country        0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "###Duplicated Rows"
      ],
      "metadata": {
        "id": "O9mRd1ESJ8iY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data.duplicated().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "S9o3zgkSC9bA",
        "outputId": "99ca4b17-fa50-4113-fb3a-04f0a8cfb232"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1437"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.drop_duplicates(inplace= True)"
      ],
      "metadata": {
        "id": "rFYnBuuxC9fM"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Converting dtypes"
      ],
      "metadata": {
        "id": "7uaptfEFLti2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data.dtypes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "U5oFXmTaCV6l",
        "outputId": "47c23575-a6b4-4d52-8716-6607aeae2114"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "InvoiceNo       object\n",
              "StockCode       object\n",
              "Description     object\n",
              "Quantity       float64\n",
              "InvoiceDate     object\n",
              "UnitPrice      float64\n",
              "CustomerID     float64\n",
              "Country         object\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        " let's convert 'InvoiceDate' to a datetime data type and 'CustomerID' to an integer data type."
      ],
      "metadata": {
        "id": "LAZqA383C37G"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data['InvoiceDate'] = pd.to_datetime(data['InvoiceDate'])"
      ],
      "metadata": {
        "id": "yAo0G8urCV-G"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data['CustomerID'] = data['CustomerID'].astype(int , errors = 'ignore')"
      ],
      "metadata": {
        "id": "PNb3Co0VCWDF"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Treating With Cancelled Transactions"
      ],
      "metadata": {
        "id": "uexWqLEkLBod"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "we will drop it now and and analysis it later"
      ],
      "metadata": {
        "id": "oQmjTkswLG_U"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data = data[data['InvoiceNo'].apply(lambda x : x[0]) != 'C']"
      ],
      "metadata": {
        "id": "Ofk2rY9lK_U6"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# EDA"
      ],
      "metadata": {
        "id": "Y0GKcMbROa3a"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Customer Lifetime Value\n"
      ],
      "metadata": {
        "id": "oMTtfOSsO27-"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "There are lots of approaches available for calculating CLTV. Everyone has his own view on it that suitable for his bussines"
      ],
      "metadata": {
        "id": "Za-jvXD1Pgb4"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**CLTV = ((Average Order Value x Purchase Frequency)/Churn Rate) x Profit margin.**"
      ],
      "metadata": {
        "id": "qdhlrO8DUU-s"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Calulate total purchase\n",
        "data['total purchase'] = data['UnitPrice'] * data['Quantity']"
      ],
      "metadata": {
        "id": "KfdhZQ-QUahp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_group = data.groupby('CustomerID' , as_index=False).agg({\n",
        "    'total purchase':'sum' , 'InvoiceNo':'count' ,'Country':'min' ,'InvoiceDate':lambda date:(max(date) - min(date)).days}).rename(\n",
        "      columns = {'InvoiceNo' : 'num_transactions' , 'InvoiceDate':'days'})"
      ],
      "metadata": {
        "id": "i8vt1oINUasM"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**1. Calculate Average Order Value**"
      ],
      "metadata": {
        "id": "vlo-Wi2Dbae2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data_group['avg_order_value'] = data_group['total purchase']/data_group['num_transactions']"
      ],
      "metadata": {
        "id": "ZbZRAS4QUa1o"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_group.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "Und1mTsbbe1s",
        "outputId": "dc29822c-f5b0-4755-d870-5a1430e727d3"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   CustomerID  total purchase  num_transactions         Country  days  \\\n",
              "0       12346        77183.60                 1  United Kingdom     0   \n",
              "1       12347         1823.43                84         Iceland   120   \n",
              "2       12348         1487.24                28         Finland   109   \n",
              "3       12350          334.40                17          Norway     0   \n",
              "4       12352         1561.81                38          Norway    34   \n",
              "\n",
              "   avg_order_value  \n",
              "0     77183.600000  \n",
              "1        21.707500  \n",
              "2        53.115714  \n",
              "3        19.670588  \n",
              "4        41.100263  "
            ],
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "    </div>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**2. Calculate Purchase Frequency**"
      ],
      "metadata": {
        "id": "wv-I_hMwb6pf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "purchase_frequency=sum(data_group['num_transactions'])/data_group.shape[0]"
      ],
      "metadata": {
        "id": "3JO04qCcbe5_"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**3. Calculate Repeat Rate and Churn Rate**"
      ],
      "metadata": {
        "id": "0rYcSVv6guQ6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "repeat_rate = len(data_group[data_group['num_transactions'] >= 2]) / len(data_group)\n",
        "round(repeat_rate*100.0 , 2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cWNi6ODVbfEC",
        "outputId": "0719bf9d-210d-42a9-b00b-97198714ffa7"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "97.03"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "the percentage of repeat_rate is :**` 98.34 % `**"
      ],
      "metadata": {
        "id": "NTv2lHyjht3N"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Churn Rate**"
      ],
      "metadata": {
        "id": "O8U-K4ngiEi-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Churn Rate\n",
        "churn_rate=1-repeat_rate\n",
        "round(churn_rate*100.0 , 2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UKd83J6QiAzJ",
        "outputId": "bf1582b8-9611-4d0e-86fc-4dbd71314601"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2.97"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "the percentage of Churn rate is :**` 1.66 % `**"
      ],
      "metadata": {
        "id": "GY0Yv3NtiSx_"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**4. Calculate Profit Margin**\n",
        "\n",
        " It represents how much percentage of total sales has earned as the gain. Let's assume our business has approx 10% profit on the total sale."
      ],
      "metadata": {
        "id": "j5rZqdbWiyTC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data_group['profit_margin']=data_group['total purchase']*0.1"
      ],
      "metadata": {
        "id": "R5qZshJ2iA3F"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**5. Calcualte Customer Lifetime Value**\n"
      ],
      "metadata": {
        "id": "ybZWPNlDjgtO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "churn_rate"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SL4qgkHtninP",
        "outputId": "f0d0de2b-5cd5-48d2-e84e-9c36590b4557"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.02972399150743099"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_group['CLV']=(data_group['avg_order_value']*purchase_frequency)\n",
        "data_group['CLV'] = data_group['CLV']/churn_rate\n",
        "data_group['CLV'] = data_group['CLV'].apply(lambda x: '{:.2f}'.format(x))\n"
      ],
      "metadata": {
        "id": "vlNFiWAHiA8_"
      },
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_group.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "a9NavgMHuDxE",
        "outputId": "fbb1f5b8-77d1-4f60-b907-8c1c02d1ea65"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   CustomerID  total purchase  num_transactions         Country  days  \\\n",
              "0       12346        77183.60                 1  United Kingdom     0   \n",
              "1       12347         1823.43                84         Iceland   120   \n",
              "2       12348         1487.24                28         Finland   109   \n",
              "3       12350          334.40                17          Norway     0   \n",
              "4       12352         1561.81                38          Norway    34   \n",
              "\n",
              "   avg_order_value  profit_margin           CLV  \n",
              "0     77183.600000       7718.360  120344669.12  \n",
              "1        21.707500        182.343      33846.33  \n",
              "2        53.115714        148.724      82818.02  \n",
              "3        19.670588         33.440      30670.38  \n",
              "4        41.100263        156.181      64083.53  "
            ],
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            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Customer Segmentation"
      ],
      "metadata": {
        "id": "Zjwxpthr2F4u"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## based on their total purchase value\n"
      ],
      "metadata": {
        "id": "HzC3BRD62ggR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data_group_v1 = data_group\n",
        "data_group_v1['Segmant Purchase'] = pd.cut(data_group['total purchase'] , bins = [0,1500,3500,float('inf')] , labels = ['Low purchase' , 'Medium purchase' ,'High purchase'])"
      ],
      "metadata": {
        "id": "QB_6edQd2TJx"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "v1 = data_group_v1['Segmant Purchase'].value_counts()\n",
        "\n",
        "colors = ['#ff9999', '#66b3ff', '#99ff99']\n",
        "explode = [0,0,0.1]\n",
        "plt.figure(figsize=(8, 7))\n",
        "plt.pie(v1, labels=v1.index, colors=colors, autopct='%1.1f%%', startangle=180,explode = explode)\n",
        "plt.title('Segment Distribution based on Purchase')\n",
        "plt.legend(v1.index, title='Segments', loc='upper right')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        },
        "id": "DdLGntW44lBX",
        "outputId": "ee0f93ff-3547-45d0-f820-90e2006f0c37"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Cusotmers With High Transactions"
      ],
      "metadata": {
        "id": "XnQW5cib6pWJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# top_10_Custopers\n",
        "x = data_group[['CustomerID','num_transactions']].sort_values(by = 'num_transactions' ,ascending = [False]).head(10)"
      ],
      "metadata": {
        "id": "URPNg2eO63J5"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(20,5))\n",
        "sns.barplot(data =x , x = 'CustomerID'\t,y ='num_transactions')\n",
        "plt.title(\"top_10_Customers\" , fontsize = 17)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 395
        },
        "id": "jysPDVHz8A_w",
        "outputId": "e567962b-b0ff-4171-d36a-72264d788397"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'top_10_Customers')"
            ]
          },
          "metadata": {},
          "execution_count": 28
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Geographic Analysis:"
      ],
      "metadata": {
        "id": "Ko-qMY8_-mh5"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## TOP 10 Countries In Revenue of Purchase"
      ],
      "metadata": {
        "id": "YUG1lWru_0ny"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data_group_v2 = data_group.groupby('Country' , as_index = False).agg({'total purchase' : 'sum' , 'num_transactions':'sum'})"
      ],
      "metadata": {
        "id": "QHZSvdhZ_JGG"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_group_v2 = data_group_v2.sort_values(by = 'total purchase' , ascending=False).head(10)"
      ],
      "metadata": {
        "id": "7PPIC3uq_JOl"
      },
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from matplotlib.ticker import FuncFormatter\n",
        "data_group_v2.plot(kind = 'bar' , x = 'Country')\n",
        "def format_y_ticks(value, _):\n",
        "    if value >= 1e6:\n",
        "        return f'{int(value/1e6)}M'\n",
        "    else:\n",
        "        return int(value)\n",
        "\n",
        "plt.gca().yaxis.set_major_formatter(FuncFormatter(format_y_ticks))\n",
        "plt.title('TOP 10 Countries In Revenue of Purchase')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 569
        },
        "id": "_4gEyv-C_xlT",
        "outputId": "8fb2e816-2d91-41e5-a019-67b391d16a57"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##In which Country do we have more customers?"
      ],
      "metadata": {
        "id": "KK0JoDyd5u9x"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "country = data_group['Country'].value_counts().reset_index(drop = False).head(10)\n",
        "country"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "6DHZe1ih50Sx",
        "outputId": "889bd73f-4b68-439e-f5c1-191188ff4df0"
      },
      "execution_count": 103,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             index  Country\n",
              "0   United Kingdom     2139\n",
              "1          Germany       50\n",
              "2           France       42\n",
              "3            Spain       16\n",
              "4          Belgium       15\n",
              "5         Portugal       10\n",
              "6      Switzerland        9\n",
              "7        Australia        8\n",
              "8            Italy        8\n",
              "9  Channel Islands        7"
            ],
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              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-1e1d9d09-a41f-4892-9a23-6d482880440c button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 103
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Countries That has high cancellation of orders"
      ],
      "metadata": {
        "id": "mCR_T-VlBqYb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data_Cancel = pd.read_csv('/content/data.csv' , encoding='ISO-8859-1')\n",
        "data_Cancel = data_Cancel[data_Cancel['InvoiceNo'].apply(lambda x : x[0]) == 'C']\n",
        "data_Cancel['InvoiceDate'] = pd.to_datetime(data_Cancel['InvoiceDate'])"
      ],
      "metadata": {
        "id": "vcpsps9f_xq8"
      },
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_Cancel_vals = data_Cancel['Country'].value_counts().nlargest(5)"
      ],
      "metadata": {
        "id": "pAy71wCo_xxQ"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "explode =[0.1,0,0.2,0,0.2]\n",
        "colors = ['gold', 'lightcoral', 'lightskyblue', 'lightgreen', 'lightpink']\n",
        "\n",
        "plt.figure(figsize=(8, 8))\n",
        "plt.pie(data_Cancel_vals, labels=data_Cancel_vals.index, autopct='%1.1f%%', startangle=180 , explode = explode)\n",
        "\n",
        "plt.title('Top 5 Countries in Cancellations')\n",
        "plt.legend(loc='upper right', labels=data_Cancel_vals.index)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 675
        },
        "id": "NjQpufTC_x28",
        "outputId": "1673d907-bc7d-4adf-afca-30dd3fee1aed"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Countries with low cancellation of orders"
      ],
      "metadata": {
        "id": "vwWOOKTFF5al"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data_Cancel_vals_2 = data_Cancel['Country'].value_counts().nsmallest(5)"
      ],
      "metadata": {
        "id": "mtLA9McaDEIR"
      },
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_Cancel_vals_2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IqT4XDJXHBQB",
        "outputId": "6876c7d8-64bc-4713-8f46-209981b26278"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Saudi Arabia    1\n",
              "Hong Kong       1\n",
              "Bahrain         1\n",
              "Austria         1\n",
              "Israel          2\n",
              "Name: Country, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Time Series Analysis:"
      ],
      "metadata": {
        "id": "yAsKjl83HfQT"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## any patterns or trends in Count of Orders?"
      ],
      "metadata": {
        "id": "MDsTT1knJLzi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data['InvoiceDate_d'] = data['InvoiceDate'].dt.date"
      ],
      "metadata": {
        "id": "ain4OYDTKtTE"
      },
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "PurchaseDate_data = data.groupby('InvoiceDate_d', as_index = False).agg({'InvoiceNo':'count' ,'total purchase':'sum' })\n"
      ],
      "metadata": {
        "id": "Z8cyF23tJKxY"
      },
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(18, 5))\n",
        "sns.lineplot(data = PurchaseDate_data , x='InvoiceDate_d', y='InvoiceNo' , marker = 'o')\n",
        "\n",
        "plt.title('Time Series of Orders per day')\n",
        "plt.xlabel('Date')\n",
        "plt.ylabel('Order Count')\n",
        "\n",
        "import matplotlib.dates as mdates\n",
        "date_format = mdates.DateFormatter(\"%d-%b\")\n",
        "plt.gca().xaxis.set_major_formatter(date_format)\n",
        "plt.gca().xaxis.set_major_locator(mdates.DayLocator(interval=30))\n",
        "plt.xticks(rotation=45)\n",
        "\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 438
        },
        "id": "2NH0OuPeJZvS",
        "outputId": "76effa64-f7fa-4cfa-e0b3-c7366f3b4d2b"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1800x500 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Month VS total purchase\n"
      ],
      "metadata": {
        "id": "7V7eKXnpMOKD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data['month'] = pd.to_datetime(data['InvoiceDate']).dt.month\n",
        "month_dict = {1: 'January', 2: 'February', 3: 'March', 4: 'April', 5: 'May', 6: 'June', 7: 'July', 8: 'August', 9: 'September', 10: 'October', 11: 'November', 12: 'December'}\n",
        "data['month'] = data['month'].map(month_dict)\n",
        "data['month'] = pd.Categorical(data['month'], categories=month_dict.values())\n"
      ],
      "metadata": {
        "id": "yv3HSZv6MXW8"
      },
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "month_data = data.groupby('month' , as_index = False)['total purchase'].sum()\n",
        "month_data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 426
        },
        "id": "_VbQH6_NNXTz",
        "outputId": "eb4d2946-0d6b-4b31-fc31-83d463033251"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        month  total purchase\n",
              "0     January      568101.310\n",
              "1    February      446084.920\n",
              "2       March      594081.760\n",
              "3       April      332280.871\n",
              "4         May           0.000\n",
              "5        June           0.000\n",
              "6        July           0.000\n",
              "7      August           0.000\n",
              "8   September           0.000\n",
              "9     October           0.000\n",
              "10   November           0.000\n",
              "11   December      570422.730"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-4666612b-0b09-4075-908b-312c5ba2a5e2\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>month</th>\n",
              "      <th>total purchase</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>January</td>\n",
              "      <td>568101.310</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>February</td>\n",
              "      <td>446084.920</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>March</td>\n",
              "      <td>594081.760</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>April</td>\n",
              "      <td>332280.871</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>May</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>June</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>July</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>August</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>September</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>October</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>November</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>December</td>\n",
              "      <td>570422.730</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4666612b-0b09-4075-908b-312c5ba2a5e2')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-4666612b-0b09-4075-908b-312c5ba2a5e2 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-4666612b-0b09-4075-908b-312c5ba2a5e2');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-63a452b9-b8c8-4717-ac8b-bcaa6d9d24ee\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-63a452b9-b8c8-4717-ac8b-bcaa6d9d24ee')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-63a452b9-b8c8-4717-ac8b-bcaa6d9d24ee button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "month_data.plot(kind = 'bar' , x = 'month')\n",
        "from matplotlib.ticker import FuncFormatter\n",
        "\n",
        "def format_y_ticks(value, _):\n",
        "    if value >= 1e6:\n",
        "        return f'{int(value/1e6)}M'\n",
        "    else:\n",
        "        return int(value)\n",
        "\n",
        "plt.gca().yaxis.set_major_formatter(FuncFormatter(format_y_ticks))\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 512
        },
        "id": "gPIIS6R3NzuF",
        "outputId": "cbb90bee-29b3-47a1-b69e-f05cf7afee5f"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Month with High cancellation of orders"
      ],
      "metadata": {
        "id": "YHSqsr-9skE2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data_Cancel['month'] = data_Cancel['InvoiceDate'].dt.month_name()"
      ],
      "metadata": {
        "id": "D8UprdTQtI8r"
      },
      "execution_count": 53,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_month_cancel = data_Cancel.groupby('month' , as_index= False)['InvoiceNo'].count()"
      ],
      "metadata": {
        "id": "U53qeh3vtJBS"
      },
      "execution_count": 57,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10,5))\n",
        "sns.barplot(data = data_month_cancel , x = 'month' , y ='InvoiceNo' )\n",
        "plt.title(\"Month with High cancellation of orders\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "0TsLW2gwuCC8",
        "outputId": "a8be583f-e88a-4c4c-c0a2-78382dd07650"
      },
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Stock Analysis"
      ],
      "metadata": {
        "id": "mgoUkIiCwpGB"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Top 10 Stocks With High Orders"
      ],
      "metadata": {
        "id": "PQqpahBdzVvA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "stockcode_counts = data.StockCode.value_counts().sort_values(ascending=False).head(10)\n",
        "plt.figure(figsize=(10,5))\n",
        "sns.barplot(x = stockcode_counts.index,y = stockcode_counts.values , palette='magma')\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 462
        },
        "id": "k-8NSAlQwyjV",
        "outputId": "d07ca44c-0d92-4753-baf7-33915b86b591"
      },
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 79
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Descriptions Analysis"
      ],
      "metadata": {
        "id": "8YftZ1TX0BQk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# How many unique descriptions do we have?\n",
        "data['Description'].nunique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "s9Sozjk70jSN",
        "outputId": "62e0636a-98f6-49c5-fff5-4aea8c0a610f"
      },
      "execution_count": 111,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2968"
            ]
          },
          "metadata": {},
          "execution_count": 111
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## which are most common descriptions?"
      ],
      "metadata": {
        "id": "7gsXvxT80nnl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "description_counts = data.Description.value_counts().sort_values(ascending=False).head(20)\n",
        "plt.figure(figsize=(20,5))\n",
        "sns.barplot(x = description_counts.index, y = description_counts.values, palette=\"RdBu\")\n",
        "plt.ylabel(\"Counts\")\n",
        "plt.title(\"Which product descriptions are most common?\");\n",
        "plt.xticks(rotation=90);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 760
        },
        "id": "Jv89d0QQ0vK9",
        "outputId": "f0865710-6467-4ce4-f2b2-600c5be87d81"
      },
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Which product has achieved the highest sales?"
      ],
      "metadata": {
        "id": "GUFK_jFL4hQZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data['total'] = data['UnitPrice']*data['Quantity']"
      ],
      "metadata": {
        "id": "qfy9Q-_D4yaa"
      },
      "execution_count": 94,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "product_sales= data.groupby('Description').agg({'total' : 'sum'}).sort_values(by = 'total' , ascending = False).reset_index(drop= False).head(5)\n",
        "plt.figure(figsize = (10,5))\n",
        "ad =sns.barplot(y = 'Description' , x= 'total' , data = product_sales , palette = 'BuPu')\n",
        "\n",
        "plt.title('Products with Highest Sales')\n",
        "plt.xlabel('Total Sales')\n",
        "plt.ylabel('Product Description')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 504
        },
        "id": "IkPDHHZM0vPu",
        "outputId": "baa5c0ba-60d9-43bd-ebc4-8497e12da366"
      },
      "execution_count": 98,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Product Description')"
            ]
          },
          "metadata": {},
          "execution_count": 98
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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      ]
    }
  ]
}