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