{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", "id": "8UMFqsCD0xyF" }, "outputs": [], "source": [ "# Importing necessary packages\n", "import pandas as pd" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", "id": "HSXgY0ze09cY" }, "outputs": [], "source": [ "file_url = '../bank-full.csv'\n", "bankData = pd.read_csv(file_url, sep=\";\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", "id": "NiRh58PlaJoZ" }, "outputs": [], "source": [ "from pandas import set_option" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", "id": "9wn-4MiPabSL" }, "outputs": [], "source": [ "bankNumeric = bankData[['age','balance','day','duration','campaign','pdays','previous']]" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 266 }, "colab_type": "code", "executionInfo": { "elapsed": 973, "status": "ok", "timestamp": 1573001855052, "user": { "displayName": "Anthony So", "photoUrl": "https://lh3.googleusercontent.com/a-/AAuE7mCYY-iGjUIqBSnlLoszfZTN7rU7FRNg05Rdt9Ii3A=s64", "userId": "11809607246124237079" }, "user_tz": -660 }, "id": "deI0ALoiaL3i", "outputId": "ab50a776-ba9a-42ad-af0e-cce93cb3ac14" }, "outputs": [], "source": [ "set_option('display.width',150)\n", "set_option('precision',3)\n", "bankCorr = bankNumeric.corr(method = 'pearson')\n", "bankCorr" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 271 }, "colab_type": "code", "id": "F8JT-MtWb6eY", "outputId": "8ab75e85-e755-4273-eff7-4910a92aa352" }, "outputs": [], "source": [ "# Plotting the correlation matrix\n", "\n", "from matplotlib import pyplot\n", "\n", "corFig = pyplot.figure()\n", "figAxis = corFig.add_subplot(111)\n", "corAx = figAxis.matshow(bankCorr,vmin=-1,vmax=1)\n", "corFig.colorbar(corAx)\n", "pyplot.show()" ] } ], "metadata": { "colab": { "collapsed_sections": [], "name": "Exercise3.05_updated.ipynb", "provenance": [] }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.6" } }, "nbformat": 4, "nbformat_minor": 1 }