Task5_TSF.ipynb

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    "colab": {
      "name": "Task5@TSF.ipynb",
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      "authorship_tag": "ABX9TyOA1bKIxDaQtY2u7jHkFgFD",
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      "name": "python3",
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/aditya-chavda/TSF-Internship-Tasks/blob/master/Task5_TSF.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wTRrLYu9evxN"
      },
      "source": [
        "# Title: To Explore Business Analytics\n",
        "\n",
        "Description: Supposing that we are the business owner of a retail firm, we are interested in seeing the company performance and the weak areas where more work is needed for making profit. The task is to derive business problems looking at the provided USA Superstore sample dataset."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BIPwPYC9fsNO"
      },
      "source": [
        "## Author: Aditya Chavda\n",
        "####Date created: 28th September, 2020\n",
        "This notebook is created to complete the above stated task given as part of data science internship under The Sparks Foundation."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WdqfHj_9fvnY"
      },
      "source": [
        "####Importing Libraries and the Data\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k7E_zX7IejZ7"
      },
      "source": [
        "#Importing all the necessary libraries\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hvrSQquSf-Gz",
        "outputId": "553d1eb2-1421-4a16-f921-2fd9e7843d64",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        }
      },
      "source": [
        "#Reading from the provided dataset\n",
        "df = pd.read_csv('SampleSuperstore.csv')\n",
        "df"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<div>\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Ship Mode</th>\n",
              "      <th>Segment</th>\n",
              "      <th>Country</th>\n",
              "      <th>City</th>\n",
              "      <th>State</th>\n",
              "      <th>Postal Code</th>\n",
              "      <th>Region</th>\n",
              "      <th>Category</th>\n",
              "      <th>Sub-Category</th>\n",
              "      <th>Sales</th>\n",
              "      <th>Quantity</th>\n",
              "      <th>Discount</th>\n",
              "      <th>Profit</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Second Class</td>\n",
              "      <td>Consumer</td>\n",
              "      <td>United States</td>\n",
              "      <td>Henderson</td>\n",
              "      <td>Kentucky</td>\n",
              "      <td>42420</td>\n",
              "      <td>South</td>\n",
              "      <td>Furniture</td>\n",
              "      <td>Bookcases</td>\n",
              "      <td>261.9600</td>\n",
              "      <td>2</td>\n",
              "      <td>0.00</td>\n",
              "      <td>41.9136</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Second Class</td>\n",
              "      <td>Consumer</td>\n",
              "      <td>United States</td>\n",
              "      <td>Henderson</td>\n",
              "      <td>Kentucky</td>\n",
              "      <td>42420</td>\n",
              "      <td>South</td>\n",
              "      <td>Furniture</td>\n",
              "      <td>Chairs</td>\n",
              "      <td>731.9400</td>\n",
              "      <td>3</td>\n",
              "      <td>0.00</td>\n",
              "      <td>219.5820</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Second Class</td>\n",
              "      <td>Corporate</td>\n",
              "      <td>United States</td>\n",
              "      <td>Los Angeles</td>\n",
              "      <td>California</td>\n",
              "      <td>90036</td>\n",
              "      <td>West</td>\n",
              "      <td>Office Supplies</td>\n",
              "      <td>Labels</td>\n",
              "      <td>14.6200</td>\n",
              "      <td>2</td>\n",
              "      <td>0.00</td>\n",
              "      <td>6.8714</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Standard Class</td>\n",
              "      <td>Consumer</td>\n",
              "      <td>United States</td>\n",
              "      <td>Fort Lauderdale</td>\n",
              "      <td>Florida</td>\n",
              "      <td>33311</td>\n",
              "      <td>South</td>\n",
              "      <td>Furniture</td>\n",
              "      <td>Tables</td>\n",
              "      <td>957.5775</td>\n",
              "      <td>5</td>\n",
              "      <td>0.45</td>\n",
              "      <td>-383.0310</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Standard Class</td>\n",
              "      <td>Consumer</td>\n",
              "      <td>United States</td>\n",
              "      <td>Fort Lauderdale</td>\n",
              "      <td>Florida</td>\n",
              "      <td>33311</td>\n",
              "      <td>South</td>\n",
              "      <td>Office Supplies</td>\n",
              "      <td>Storage</td>\n",
              "      <td>22.3680</td>\n",
              "      <td>2</td>\n",
              "      <td>0.20</td>\n",
              "      <td>2.5164</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9989</th>\n",
              "      <td>Second Class</td>\n",
              "      <td>Consumer</td>\n",
              "      <td>United States</td>\n",
              "      <td>Miami</td>\n",
              "      <td>Florida</td>\n",
              "      <td>33180</td>\n",
              "      <td>South</td>\n",
              "      <td>Furniture</td>\n",
              "      <td>Furnishings</td>\n",
              "      <td>25.2480</td>\n",
              "      <td>3</td>\n",
              "      <td>0.20</td>\n",
              "      <td>4.1028</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9990</th>\n",
              "      <td>Standard Class</td>\n",
              "      <td>Consumer</td>\n",
              "      <td>United States</td>\n",
              "      <td>Costa Mesa</td>\n",
              "      <td>California</td>\n",
              "      <td>92627</td>\n",
              "      <td>West</td>\n",
              "      <td>Furniture</td>\n",
              "      <td>Furnishings</td>\n",
              "      <td>91.9600</td>\n",
              "      <td>2</td>\n",
              "      <td>0.00</td>\n",
              "      <td>15.6332</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9991</th>\n",
              "      <td>Standard Class</td>\n",
              "      <td>Consumer</td>\n",
              "      <td>United States</td>\n",
              "      <td>Costa Mesa</td>\n",
              "      <td>California</td>\n",
              "      <td>92627</td>\n",
              "      <td>West</td>\n",
              "      <td>Technology</td>\n",
              "      <td>Phones</td>\n",
              "      <td>258.5760</td>\n",
              "      <td>2</td>\n",
              "      <td>0.20</td>\n",
              "      <td>19.3932</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9992</th>\n",
              "      <td>Standard Class</td>\n",
              "      <td>Consumer</td>\n",
              "      <td>United States</td>\n",
              "      <td>Costa Mesa</td>\n",
              "      <td>California</td>\n",
              "      <td>92627</td>\n",
              "      <td>West</td>\n",
              "      <td>Office Supplies</td>\n",
              "      <td>Paper</td>\n",
              "      <td>29.6000</td>\n",
              "      <td>4</td>\n",
              "      <td>0.00</td>\n",
              "      <td>13.3200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9993</th>\n",
              "      <td>Second Class</td>\n",
              "      <td>Consumer</td>\n",
              "      <td>United States</td>\n",
              "      <td>Westminster</td>\n",
              "      <td>California</td>\n",
              "      <td>92683</td>\n",
              "      <td>West</td>\n",
              "      <td>Office Supplies</td>\n",
              "      <td>Appliances</td>\n",
              "      <td>243.1600</td>\n",
              "      <td>2</td>\n",
              "      <td>0.00</td>\n",
              "      <td>72.9480</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>9994 rows × 13 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           Ship Mode    Segment        Country  ... Quantity Discount    Profit\n",
              "0       Second Class   Consumer  United States  ...        2     0.00   41.9136\n",
              "1       Second Class   Consumer  United States  ...        3     0.00  219.5820\n",
              "2       Second Class  Corporate  United States  ...        2     0.00    6.8714\n",
              "3     Standard Class   Consumer  United States  ...        5     0.45 -383.0310\n",
              "4     Standard Class   Consumer  United States  ...        2     0.20    2.5164\n",
              "...              ...        ...            ...  ...      ...      ...       ...\n",
              "9989    Second Class   Consumer  United States  ...        3     0.20    4.1028\n",
              "9990  Standard Class   Consumer  United States  ...        2     0.00   15.6332\n",
              "9991  Standard Class   Consumer  United States  ...        2     0.20   19.3932\n",
              "9992  Standard Class   Consumer  United States  ...        4     0.00   13.3200\n",
              "9993    Second Class   Consumer  United States  ...        2     0.00   72.9480\n",
              "\n",
              "[9994 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GyPzkg7ShzN8"
      },
      "source": [
        "####Exploring and Processing the Data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UGI60qJBgvB2",
        "outputId": "e3f56419-a2f8-46e9-86f9-fff00908f9ac",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        }
      },
      "source": [
        "df.info()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 9994 entries, 0 to 9993\n",
            "Data columns (total 13 columns):\n",
            " #   Column        Non-Null Count  Dtype  \n",
            "---  ------        --------------  -----  \n",
            " 0   Ship Mode     9994 non-null   object \n",
            " 1   Segment       9994 non-null   object \n",
            " 2   Country       9994 non-null   object \n",
            " 3   City          9994 non-null   object \n",
            " 4   State         9994 non-null   object \n",
            " 5   Postal Code   9994 non-null   int64  \n",
            " 6   Region        9994 non-null   object \n",
            " 7   Category      9994 non-null   object \n",
            " 8   Sub-Category  9994 non-null   object \n",
            " 9   Sales         9994 non-null   float64\n",
            " 10  Quantity      9994 non-null   int64  \n",
            " 11  Discount      9994 non-null   float64\n",
            " 12  Profit        9994 non-null   float64\n",
            "dtypes: float64(3), int64(2), object(8)\n",
            "memory usage: 1015.1+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JcZEorO-i91a",
        "outputId": "5672a7de-f870-4c3e-965b-f3494128889a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        }
      },
      "source": [
        "df.describe()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Postal Code</th>\n",
              "      <th>Sales</th>\n",
              "      <th>Quantity</th>\n",
              "      <th>Discount</th>\n",
              "      <th>Profit</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>9994.000000</td>\n",
              "      <td>9994.000000</td>\n",
              "      <td>9994.000000</td>\n",
              "      <td>9994.000000</td>\n",
              "      <td>9994.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>55190.379428</td>\n",
              "      <td>229.858001</td>\n",
              "      <td>3.789574</td>\n",
              "      <td>0.156203</td>\n",
              "      <td>28.656896</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>32063.693350</td>\n",
              "      <td>623.245101</td>\n",
              "      <td>2.225110</td>\n",
              "      <td>0.206452</td>\n",
              "      <td>234.260108</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1040.000000</td>\n",
              "      <td>0.444000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-6599.978000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>23223.000000</td>\n",
              "      <td>17.280000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.728750</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>56430.500000</td>\n",
              "      <td>54.490000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>8.666500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>90008.000000</td>\n",
              "      <td>209.940000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>29.364000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>99301.000000</td>\n",
              "      <td>22638.480000</td>\n",
              "      <td>14.000000</td>\n",
              "      <td>0.800000</td>\n",
              "      <td>8399.976000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        Postal Code         Sales     Quantity     Discount       Profit\n",
              "count   9994.000000   9994.000000  9994.000000  9994.000000  9994.000000\n",
              "mean   55190.379428    229.858001     3.789574     0.156203    28.656896\n",
              "std    32063.693350    623.245101     2.225110     0.206452   234.260108\n",
              "min     1040.000000      0.444000     1.000000     0.000000 -6599.978000\n",
              "25%    23223.000000     17.280000     2.000000     0.000000     1.728750\n",
              "50%    56430.500000     54.490000     3.000000     0.200000     8.666500\n",
              "75%    90008.000000    209.940000     5.000000     0.200000    29.364000\n",
              "max    99301.000000  22638.480000    14.000000     0.800000  8399.976000"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FSdqxQaEg-si",
        "outputId": "26bc6fd0-339c-4f10-91bc-f007a70d0ee7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 255
        }
      },
      "source": [
        "#Checking for any null entry\n",
        "df.isnull().sum()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Ship Mode       0\n",
              "Segment         0\n",
              "Country         0\n",
              "City            0\n",
              "State           0\n",
              "Postal Code     0\n",
              "Region          0\n",
              "Category        0\n",
              "Sub-Category    0\n",
              "Sales           0\n",
              "Quantity        0\n",
              "Discount        0\n",
              "Profit          0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kqh0EHishPV-"
      },
      "source": [
        "No null entry found!"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vFmuGAQkhMl6",
        "outputId": "0334dffb-501c-4bcc-d2e0-8c793a594b26",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#Checking for any duplicate entry\n",
        "df.duplicated().sum()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "17"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HqFsLfSYioJ7"
      },
      "source": [
        "17 duplicate entries found!"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i5jSgYHmhf0p",
        "outputId": "f1c1c7f2-473c-4420-84ba-e48221cf35c2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#Dropping those duplicates\n",
        "df.drop_duplicates(inplace=True)\n",
        "df.shape"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(9977, 13)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nK-DSu4HiuZq"
      },
      "source": [
        "Since the entire dataset is from a single country, i.e. USA, we can drop the 'Country' column.\n",
        "\n",
        "Also, postal codes represent city, so there is no point of having both the columns. Dropping 'Postal Code' column as well."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SpOgC_OFhqew",
        "outputId": "a7463202-b511-49a7-ca1a-7a10b4939dd5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#Dropping unnecessary columns\n",
        "df.drop(['Country', 'Postal Code'], axis = 1, inplace=True)\n",
        "df.shape"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(9977, 11)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JG9dr4cKiYII",
        "outputId": "f09271b7-c51e-4e3a-9d5b-ed8b38f6e0a9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "#Unique column values\n",
        "for col in df.columns:\n",
        "    if df[col].dtype=='object':\n",
        "        print(\"Total\",col,\":\",df[col].nunique())"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Total Ship Mode : 4\n",
            "Total Segment : 3\n",
            "Total City : 531\n",
            "Total State : 49\n",
            "Total Region : 4\n",
            "Total Category : 3\n",
            "Total Sub-Category : 17\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y4kRXkDCkOts",
        "outputId": "5f04871c-ee94-4d78-e0e4-075f2f8a3a27",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 504
        }
      },
      "source": [
        "#Checking any correlations among the columns\n",
        "plt.subplots(figsize = (12, 8))\n",
        "sns.heatmap(df.corr(), annot = True, cmap = 'inferno')"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fd8bf9cc828>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AvaMKSVvlDWI"
      },
      "source": [
        "No strong correlation is found!"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j6sDifkPlwxE"
      },
      "source": [
        "####Data Visualization"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V-TOZgG2oWOh"
      },
      "source": [
        "####Region wise Sales & Profit of each category"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z5Gijf5plATy",
        "outputId": "6ceb6cbd-d0be-40c3-ad5e-e77e7cad9aab",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 513
        }
      },
      "source": [
        "_, axes = plt.subplots(1,2, figsize = (18, 8))\n",
        "sns.barplot(x = \"Region\", y = \"Sales\", hue = \"Category\", data=df, palette = \"Greens\", ax = axes[0])\n",
        "axes[0].set_title(\"Sales\")\n",
        "\n",
        "sns.barplot(x = \"Region\", y = \"Profit\", hue = \"Category\", data=df, palette = \"Greens\", ax = axes[1])\n",
        "axes[1].set_title(\"Profits\")\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1296x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sgdcUXL5onSP"
      },
      "source": [
        "Technology has the highest sales and profits in all the regions followed by Furniture and Office Supplies.\n",
        "\n",
        "Furniture is suffering loss in Central region despite having fair amount of sales."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "A8IrIeqdoQcJ"
      },
      "source": [
        "####Category wise Sales & Profit"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "niIHNRN-nCJY",
        "outputId": "fc555da4-0fc9-4b8c-d800-aa1af614639b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 513
        }
      },
      "source": [
        "_, axes = plt.subplots(1,2, figsize = (16, 8))\n",
        "sns.barplot(x = \"Category\", y = \"Sales\", data = df, palette = \"Greens\", ax = axes[0])\n",
        "axes[0].set_title(\"Sales\")\n",
        "\n",
        "sns.barplot(x = \"Category\", y = \"Profit\", data = df, palette = \"Greens\", ax = axes[1])\n",
        "axes[1].set_title(\"Profits\")\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qrnHk-ENofIp"
      },
      "source": [
        "Technology category has the highest sales and profit."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Oj0LC9VRpoNQ"
      },
      "source": [
        "####Sub Category wise Profits & Sales "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6FdQl2UloGJ2",
        "outputId": "97df8d6e-4d4b-41ab-bef2-cc8a2ce244cf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 471
        }
      },
      "source": [
        "df.groupby('Sub-Category')['Profit','Sales'].sum().sort_values(ascending = False, by = 'Profit').plot(kind = 'bar', figsize = (10, 6))\n",
        "plt.show()"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_qgrsaImpu8w"
      },
      "source": [
        "Phones sub category has the highest sales. While Fastners and Labels shows the lowest.\n",
        "\n",
        "Copiers sub category has the highest profit. While Tables and Bookcases incurs loss."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fYxLtHzYst1D"
      },
      "source": [
        "####State wise Profits"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4bPmY2zAqkxO",
        "outputId": "b8273fff-965e-4c73-f25c-3d32b637d1ab",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "state_profit = df.groupby('State').sum()['Profit'].sort_values(ascending = False)\n",
        "state_sales = df.groupby('State').sum()['Sales'].sort_values(ascending = False)\n",
        "\n",
        "_, axes = plt.subplots(2, 1, figsize = (20, 20))\n",
        "sns.barplot(x = state_profit.index, y = state_profit.values, ax = axes[0])\n",
        "axes[0].tick_params(labelrotation = 65)\n",
        "axes[0].set_title(\"Profit\")\n",
        "\n",
        "sns.barplot(x = state_sales.index, y = state_sales.values, ax = axes[1])\n",
        "axes[1].tick_params(labelrotation = 65)\n",
        "axes[1].set_title(\"Sale\")\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1440 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "o5XUGndNtQJR"
      },
      "source": [
        "California State has the highest profit and sales, followed by New York.\n",
        "\n",
        "Eventhough Texas has third highest sales, it shows the lowest porfits.\n",
        "\n",
        "North Dakota shows lowest sales."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PQNXN7GVqIyV"
      },
      "source": [
        "####City wise Profits & Sales"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rPV02JedpU16",
        "outputId": "98411e06-6292-46a7-c9f0-dbd5d81a48f4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 730
        }
      },
      "source": [
        "profit_city = df.groupby(\"City\").sum()['Profit']\n",
        "profit_sales = df.groupby(\"City\").sum()['Sales']\n",
        "\n",
        "_, axes = plt.subplots(2,2, figsize = (15, 12))\n",
        "profit_city.sort_values(ascending = False).head().plot(kind ='bar', ax = axes[0,0], color=(0,0.8,0,0.4))\n",
        "axes[0,0].tick_params(labelrotation = 0)\n",
        "axes[0,0].set_title(\"Max Profit\")\n",
        "\n",
        "profit_city.sort_values(ascending = True).head().plot(kind='bar',ax = axes[0,1], color=(0.9,0,0,0.7))\n",
        "axes[0,1].tick_params(labelrotation = 0)\n",
        "axes[0,1].set_title(\"Min Profit\")\n",
        "\n",
        "profit_sales.sort_values(ascending = False).head().plot(kind ='bar', ax = axes[1,0], color=(0,0.8,0,0.4))\n",
        "axes[1,0].tick_params(labelrotation = 0)\n",
        "axes[1,0].set_title(\"Max Sale\")\n",
        "\n",
        "profit_sales.sort_values(ascending = True).head().plot(kind='bar',ax = axes[1,1], color=(0.9,0,0,0.7))\n",
        "axes[1,1].tick_params(labelrotation = 0)\n",
        "axes[1,1].set_title(\"Min Sale\")\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x864 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zOdKyECzsgcE"
      },
      "source": [
        "New York City and Los Angeles has highest profit and sale.\n",
        "\n",
        "Philadelphia and Houston has lowest profit.\n",
        "\n",
        "Abilene and Elyria has lowest sales."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yDjF9NmRu-3B"
      },
      "source": [
        "####City wise Discounts"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Tc22uBJSs201",
        "outputId": "9497f81f-ddf6-4327-af2d-58b11af3de9b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 512
        }
      },
      "source": [
        "dis_city = df.groupby(\"City\").sum()['Discount'].sort_values(ascending = False)\n",
        "\n",
        "plt.figure(figsize = (8, 8))\n",
        "dis_city.head().plot(kind ='bar', color=(0.9,0,0,0.7))\n",
        "plt.xticks(rotation = 15)\n",
        "plt.show()"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Wk3TZ5IEvzv9"
      },
      "source": [
        "Philadelphia and Houston has given the highest discounts and yet they have the lowest profits as concluded previously. \n",
        "\n",
        "This fact should be taken for consideration."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5csZjdEU-RTg"
      },
      "source": [
        "###Conclusion\n",
        "---\n",
        "####Highest\n",
        "Category: Technology (Sales & Profits)\n",
        "\n",
        "Sub Category: Phones (Sales), Copiers (Profits)\n",
        "\n",
        "State: California (Sales & Profits)\n",
        "\n",
        "City: New York City (Sales & Profits)\n",
        "\n",
        "---\n",
        "\n",
        "####Lowest\n",
        "Category: Office Supplies (Sales), Furniture (Profits)\n",
        "\n",
        "Sub Category: Fastners (Sales), Tables (Profits)\n",
        "\n",
        "State: North Dakota (Sales), Texas (Profits)\n",
        "\n",
        "City: Abilene (Sales), Philadelphia (Profits)\n",
        "\n",
        "---\n",
        "\n",
        "####Note\n",
        "- Larger cities incurs higher sales.\n",
        "- Technology category leads by noticeable margins in both profits and sales.\n",
        "- Copiers and Machines sub-category leads by noticeable margins in both profits and sales.\n",
        "- Cities like Philadelphia have highest discount yet yeilds lowest profit.\n",
        "- Cities like Appleton and Washington having 0 discount also generates higher profit."
      ]
    }
  ]
}