Experiment 3 Bar plots for variable.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "RU_w0KZLNp0x"
      },
      "outputs": [],
      "source": [
        "# Experiment 3\n",
        "# Create different bar plots for variables in any dataset.\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "df=pd.read_csv(\"/content/business-financial-data-september-2022-quarter.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xs3broq1ubmH",
        "outputId": "afa066bf-4e5d-4fbb-d008-ed2b6cf06ea5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "     Series_reference   Period  Data_value Suppressed STATUS    UNITS  \\\n",
            "0       BDCQ.SF1AA2CA  2016.06    1116.386        NaN      F  Dollars   \n",
            "1       BDCQ.SF1AA2CA  2016.09    1070.874        NaN      F  Dollars   \n",
            "2       BDCQ.SF1AA2CA  2016.12    1054.408        NaN      F  Dollars   \n",
            "3       BDCQ.SF1AA2CA  2017.03    1010.665        NaN      F  Dollars   \n",
            "4       BDCQ.SF1AA2CA  2017.06    1233.700        NaN      F  Dollars   \n",
            "...               ...      ...         ...        ...    ...      ...   \n",
            "6190     BDCQ.SF8RSCA  2021.09     382.195        NaN      F  Dollars   \n",
            "6191     BDCQ.SF8RSCA  2021.12     397.184        NaN      F  Dollars   \n",
            "6192     BDCQ.SF8RSCA  2022.03     493.945        NaN      F  Dollars   \n",
            "6193     BDCQ.SF8RSCA  2022.06     579.955        NaN      R  Dollars   \n",
            "6194     BDCQ.SF8RSCA  2022.09     609.161        NaN      F  Dollars   \n",
            "\n",
            "      Magnitude                         Subject  \\\n",
            "0             6  Business Data Collection - BDC   \n",
            "1             6  Business Data Collection - BDC   \n",
            "2             6  Business Data Collection - BDC   \n",
            "3             6  Business Data Collection - BDC   \n",
            "4             6  Business Data Collection - BDC   \n",
            "...         ...                             ...   \n",
            "6190          6  Business Data Collection - BDC   \n",
            "6191          6  Business Data Collection - BDC   \n",
            "6192          6  Business Data Collection - BDC   \n",
            "6193          6  Business Data Collection - BDC   \n",
            "6194          6  Business Data Collection - BDC   \n",
            "\n",
            "                                                Group  \\\n",
            "0     Industry by financial variable (NZSIOC Level 2)   \n",
            "1     Industry by financial variable (NZSIOC Level 2)   \n",
            "2     Industry by financial variable (NZSIOC Level 2)   \n",
            "3     Industry by financial variable (NZSIOC Level 2)   \n",
            "4     Industry by financial variable (NZSIOC Level 2)   \n",
            "...                                               ...   \n",
            "6190  Industry by financial variable (NZSIOC Level 1)   \n",
            "6191  Industry by financial variable (NZSIOC Level 1)   \n",
            "6192  Industry by financial variable (NZSIOC Level 1)   \n",
            "6193  Industry by financial variable (NZSIOC Level 1)   \n",
            "6194  Industry by financial variable (NZSIOC Level 1)   \n",
            "\n",
            "                Series_title_1                       Series_title_2  \\\n",
            "0     Sales (operating income)                 Forestry and Logging   \n",
            "1     Sales (operating income)                 Forestry and Logging   \n",
            "2     Sales (operating income)                 Forestry and Logging   \n",
            "3     Sales (operating income)                 Forestry and Logging   \n",
            "4     Sales (operating income)                 Forestry and Logging   \n",
            "...                        ...                                  ...   \n",
            "6190          Operating profit  Arts, Recreation and Other Services   \n",
            "6191          Operating profit  Arts, Recreation and Other Services   \n",
            "6192          Operating profit  Arts, Recreation and Other Services   \n",
            "6193          Operating profit  Arts, Recreation and Other Services   \n",
            "6194          Operating profit  Arts, Recreation and Other Services   \n",
            "\n",
            "      Series_title_3 Series_title_4  Series_title_5  \n",
            "0     Current prices     Unadjusted             NaN  \n",
            "1     Current prices     Unadjusted             NaN  \n",
            "2     Current prices     Unadjusted             NaN  \n",
            "3     Current prices     Unadjusted             NaN  \n",
            "4     Current prices     Unadjusted             NaN  \n",
            "...              ...            ...             ...  \n",
            "6190         Current     Unadjusted             NaN  \n",
            "6191         Current     Unadjusted             NaN  \n",
            "6192         Current     Unadjusted             NaN  \n",
            "6193         Current     Unadjusted             NaN  \n",
            "6194         Current     Unadjusted             NaN  \n",
            "\n",
            "[6195 rows x 14 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.barplot(x='Period',y='Data_value',data=df)\n",
        "plt.title(\"Bar plots for variable\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 490
        },
        "id": "sKckxQhZuidr",
        "outputId": "a3395d3e-ad32-4265-b035-c1a1218a1e80"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Bar plots for variable')"
            ]
          },
          "metadata": {},
          "execution_count": 3
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}