task_on_plot.ipynb

{
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      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/AshaS591/Data-Analytics/blob/main/task_on_plot.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "mFlQ_y2dHGUc"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "31U2Ut9QHhwT"
      },
      "outputs": [],
      "source": [
        "df=pd.read_csv('/content/sales_data_boolean_filtering.csv')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
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        "colab": {
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          "height": 596
        },
        "id": "Bwjef4CLHmep",
        "outputId": "58481c8f-d5df-4684-f595-61c40aa0289d"
      },
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        {
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              "                                  OrderID  \\\n",
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              "499  4b74c184-9e7a-4e26-afeb-ee77b0926f6c   East      Laptop      Electronics   \n",
              "\n",
              "     Quantity    Price  TotalSales   OrderDate  \n",
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              "1         217    73.25    15895.25  2022-05-08  \n",
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              "3         230  1182.64   272007.20  2023-12-14  \n",
              "4         175   562.96    98518.00  2024-05-25  \n",
              "..        ...      ...         ...         ...  \n",
              "495       248   218.05    54076.40  2023-08-14  \n",
              "496        73   703.17    51331.41  2022-06-21  \n",
              "497       267   971.02   259262.34  2024-10-30  \n",
              "498       232   644.63   149554.16  2024-10-14  \n",
              "499        12  1699.87    20398.44  2024-07-06  \n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 500,\n  \"fields\": [\n    {\n      \"column\": \"OrderID\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 500,\n        \"samples\": [\n          \"f79aef64-d757-402b-aec0-a2d054b167cf\",\n          \"2ae90062-a235-4c71-85e5-786ea3a2f8db\",\n          \"10f018ee-56ed-49e4-8fcb-565cc4ce1c3c\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"CustomerID\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 500,\n        \"samples\": [\n          \"0ac9eda9-fd0b-45c9-b464-4e870f709223\",\n          \"c503df65-ef2e-4b84-8428-055d4d207d61\",\n          \"9a1c2318-3582-46c2-b33d-c085e725e373\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Region\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"South\",\n          \"West\",\n          \"North\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Product\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 20,\n        \"samples\": [\n          \"Tablet\",\n          \"Wardrobe\",\n          \"Jacket\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Furniture\",\n          \"Clothing\",\n          \"Electronics\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Quantity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 87,\n        \"min\": 1,\n        \"max\": 300,\n        \"num_unique_values\": 246,\n        \"samples\": [\n          17,\n          136,\n          295\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 572.5939428445844,\n        \"min\": 13.37,\n        \"max\": 1999.82,\n        \"num_unique_values\": 500,\n        \"samples\": [\n          1430.05,\n          697.92,\n          565.22\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TotalSales\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 129671.60086688011,\n        \"min\": 614.71,\n        \"max\": 576928.72,\n        \"num_unique_values\": 500,\n        \"samples\": [\n          101533.55,\n          155636.16,\n          71782.94\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"OrderDate\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 394,\n        \"samples\": [\n          \"2023-07-20\",\n          \"2024-03-02\",\n          \"2024-07-22\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 17
        }
      ],
      "source": [
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "n-yflvhrHs4f",
        "outputId": "1ab7f147-b208-440e-cf2a-da606ca15e5a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 500 entries, 0 to 499\n",
            "Data columns (total 9 columns):\n",
            " #   Column      Non-Null Count  Dtype  \n",
            "---  ------      --------------  -----  \n",
            " 0   OrderID     500 non-null    object \n",
            " 1   CustomerID  500 non-null    object \n",
            " 2   Region      500 non-null    object \n",
            " 3   Product     500 non-null    object \n",
            " 4   Category    500 non-null    object \n",
            " 5   Quantity    500 non-null    int64  \n",
            " 6   Price       500 non-null    float64\n",
            " 7   TotalSales  500 non-null    float64\n",
            " 8   OrderDate   500 non-null    object \n",
            "dtypes: float64(2), int64(1), object(6)\n",
            "memory usage: 35.3+ KB\n"
          ]
        }
      ],
      "source": [
        "df.info()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#1) Plot total sales over year\n",
        "#2) Plot total sales by category\n",
        "#3) Plot total sales by product\n",
        "#4) Plot total sales by Region .\n",
        "##Customization:\n",
        "###• All titles should be red and fontsize 15\n",
        "###• All xlabels and ylabels should be in green and should be italic with fontsize 15\n",
        "###• All the plot lines should be blue in color and marker\n",
        "color should be orange"
      ],
      "metadata": {
        "id": "bm5gEGbaw9DQ"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "EYqopdPFHzGw"
      },
      "outputs": [],
      "source": [
        "df['OrderDate']=pd.to_datetime(df['OrderDate'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
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          "height": 596
        },
        "id": "YLzoIBmUH_QC",
        "outputId": "775101da-ff03-4d08-8dcc-a28deda1f803"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "                                  OrderID  \\\n",
              "0    bc6566ab-f553-407a-ad19-c411a53445e4   \n",
              "1    cd57b082-60e0-417f-befc-acd9a986b542   \n",
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              "..                                    ...   \n",
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              "\n",
              "                               CustomerID Region     Product         Category  \\\n",
              "0    9ade37c6-79db-4e9f-a1d3-d5fafc1b8911  North      Tablet      Electronics   \n",
              "1    27d11f45-2466-4992-9b73-44096bdddf71  North  Smartwatch      Electronics   \n",
              "2    7a484f85-2993-4504-bd07-34392fb43aa7  North       Table        Furniture   \n",
              "3    fc157279-55a2-4b54-92a2-4cbf503429e1  South   Microwave  Home Appliances   \n",
              "4    8ff40b0b-224a-4f12-9914-154b3c77f6e2  North         Bed        Furniture   \n",
              "..                                    ...    ...         ...              ...   \n",
              "495  337b88f7-29bb-405c-af25-01563017f1d4  South     T-Shirt         Clothing   \n",
              "496  1b988ec2-a89c-4033-ac1b-43a2eb102075   West      Laptop      Electronics   \n",
              "497  db3ba5b2-541a-4c04-a607-f97c027c33fe   East   Microwave  Home Appliances   \n",
              "498  49ff005a-9d11-4adc-9179-ba2ae39950c5   West  Headphones      Electronics   \n",
              "499  4b74c184-9e7a-4e26-afeb-ee77b0926f6c   East      Laptop      Electronics   \n",
              "\n",
              "     Quantity    Price  TotalSales  OrderDate  \n",
              "0         126   454.19    57227.94 2024-11-15  \n",
              "1         217    73.25    15895.25 2022-05-08  \n",
              "2         259  1208.02   312877.18 2024-12-05  \n",
              "3         230  1182.64   272007.20 2023-12-14  \n",
              "4         175   562.96    98518.00 2024-05-25  \n",
              "..        ...      ...         ...        ...  \n",
              "495       248   218.05    54076.40 2023-08-14  \n",
              "496        73   703.17    51331.41 2022-06-21  \n",
              "497       267   971.02   259262.34 2024-10-30  \n",
              "498       232   644.63   149554.16 2024-10-14  \n",
              "499        12  1699.87    20398.44 2024-07-06  \n",
              "\n",
              "[500 rows x 9 columns]"
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              "        const element = document.querySelector('#df-3e64b24c-ab26-4675-a23b-d74e44898c91');\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-caefda3b-7691-41ff-8bd5-18843bf77905\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-caefda3b-7691-41ff-8bd5-18843bf77905')\"\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-caefda3b-7691-41ff-8bd5-18843bf77905 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_6bb62e02-e8c6-4119-8556-8fbbc0e0accc\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate: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",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
              "            title=\"Generate code using this dataframe.\"\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",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_6bb62e02-e8c6-4119-8556-8fbbc0e0accc button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 500,\n  \"fields\": [\n    {\n      \"column\": \"OrderID\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 500,\n        \"samples\": [\n          \"f79aef64-d757-402b-aec0-a2d054b167cf\",\n          \"2ae90062-a235-4c71-85e5-786ea3a2f8db\",\n          \"10f018ee-56ed-49e4-8fcb-565cc4ce1c3c\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"CustomerID\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 500,\n        \"samples\": [\n          \"0ac9eda9-fd0b-45c9-b464-4e870f709223\",\n          \"c503df65-ef2e-4b84-8428-055d4d207d61\",\n          \"9a1c2318-3582-46c2-b33d-c085e725e373\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Region\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"South\",\n          \"West\",\n          \"North\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Product\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 20,\n        \"samples\": [\n          \"Tablet\",\n          \"Wardrobe\",\n          \"Jacket\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Furniture\",\n          \"Clothing\",\n          \"Electronics\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Quantity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 87,\n        \"min\": 1,\n        \"max\": 300,\n        \"num_unique_values\": 246,\n        \"samples\": [\n          17,\n          136,\n          295\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 572.5939428445844,\n        \"min\": 13.37,\n        \"max\": 1999.82,\n        \"num_unique_values\": 500,\n        \"samples\": [\n          1430.05,\n          697.92,\n          565.22\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TotalSales\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 129671.60086688011,\n        \"min\": 614.71,\n        \"max\": 576928.72,\n        \"num_unique_values\": 500,\n        \"samples\": [\n          101533.55,\n          155636.16,\n          71782.94\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"OrderDate\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2021-12-06 00:00:00\",\n        \"max\": \"2024-12-05 00:00:00\",\n        \"num_unique_values\": 394,\n        \"samples\": [\n          \"2023-07-20 00:00:00\",\n          \"2024-03-02 00:00:00\",\n          \"2024-07-22 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 20
        }
      ],
      "source": [
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "I-_9q7epIFkR",
        "outputId": "804664d5-2b04-47ce-d84e-dda94e36d201"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<DatetimeArray>\n",
              "['2024-11-15 00:00:00', '2022-05-08 00:00:00', '2024-12-05 00:00:00',\n",
              " '2023-12-14 00:00:00', '2024-05-25 00:00:00', '2023-02-10 00:00:00',\n",
              " '2022-12-13 00:00:00', '2024-03-29 00:00:00', '2024-01-23 00:00:00',\n",
              " '2023-10-09 00:00:00',\n",
              " ...\n",
              " '2022-09-28 00:00:00', '2022-02-17 00:00:00', '2023-01-24 00:00:00',\n",
              " '2023-08-27 00:00:00', '2023-12-05 00:00:00', '2023-01-25 00:00:00',\n",
              " '2024-04-27 00:00:00', '2023-08-14 00:00:00', '2024-10-30 00:00:00',\n",
              " '2024-07-06 00:00:00']\n",
              "Length: 394, dtype: datetime64[ns]"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ],
      "source": [
        "df['OrderDate'].unique()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FMufWUs2Ik8m"
      },
      "outputs": [],
      "source": [
        "df['year']=[y.year for y in df['OrderDate']]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 480
        },
        "id": "Mtwlj04QIyzH",
        "outputId": "00870f98-fa4a-4cbb-b692-b42f061141c9"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "var=df.groupby('year')['TotalSales'].sum()\n",
        "df1=pd.DataFrame(var)\n",
        "plt.plot(df1.index,df1['TotalSales'],marker='o',color='blue',markerfacecolor='orange',markeredgecolor='orange')\n",
        "plt.title('Total Sales over year',color='red',fontsize=15)\n",
        "plt.xlabel('Year',color='green',fontsize=15)\n",
        "plt.ylabel('Total Sales',color='green',fontsize=15)\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 480
        },
        "id": "ffVgnWWzNLoP",
        "outputId": "6bb1792c-7d17-4337-f556-606141d86697"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "var=df.groupby('Category')['TotalSales'].sum()\n",
        "df1=pd.DataFrame(var)\n",
        "plt.plot(df1.index,df1['TotalSales'],marker='o',color='blue',markerfacecolor='orange',markeredgecolor='orange')\n",
        "plt.title('Total Sales over category ',color='red',fontsize=15)\n",
        "plt.xlabel('category ',color='green',fontsize=15)\n",
        "plt.ylabel('Total Sales',color='green',fontsize=15)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 587
        },
        "id": "UXCEFOv0N7Va",
        "outputId": "00999bc5-1c95-4b4e-8daa-c8047b717e03"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "var=df.groupby('Product')['TotalSales'].sum()\n",
        "var\n",
        "df1=pd.DataFrame(var)\n",
        "plt.plot(df1.index,df1['TotalSales'],marker='o',color='blue',markerfacecolor='orange',markeredgecolor='orange')\n",
        "plt.title('Total Sales over product ',color='red',fontsize=15)\n",
        "plt.xlabel('product ',color='green',fontsize=15)\n",
        "plt.ylabel('Total Sales',color='green',fontsize=15)\n",
        "plt.xticks(rotation=90)\n",
        "plt.show()\n",
        "# plt.tight_layout()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 480
        },
        "id": "U-Ewu0_cOt0c",
        "outputId": "d72496b5-2b12-42cb-af88-860df6971fdb"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "var=df.groupby('Region')['TotalSales'].sum()\n",
        "df1=pd.DataFrame(var)\n",
        "plt.plot(df1.index,df1['TotalSales'],marker='o',color='blue',markerfacecolor='orange',markeredgecolor='orange')\n",
        "plt.title('Total Sales over category ',color='red',fontsize=15)\n",
        "plt.xlabel('Region ',color='green',fontsize=15)\n",
        "plt.ylabel('Total Sales',color='green',fontsize=15)\n",
        "plt.show()"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyOE+Lk5J0vbCq6UERk6sgkA",
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}