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The Data Analysis Workshop

You're reading from  The Data Analysis Workshop

Product type Book
Published in Jul 2020
Publisher Packt
ISBN-13 9781839211386
Pages 626 pages
Edition 1st Edition
Languages
Authors (3):
Gururajan Govindan Gururajan Govindan
Profile icon Gururajan Govindan
Shubhangi Hora Shubhangi Hora
Profile icon Shubhangi Hora
Konstantin Palagachev Konstantin Palagachev
Profile icon Konstantin Palagachev
View More author details

Table of Contents (12) Chapters

Preface
1. Bike Sharing Analysis 2. Absenteeism at Work 3. Analyzing Bank Marketing Campaign Data 4. Tackling Company Bankruptcy 5. Analyzing the Online Shopper's Purchasing Intention 6. Analysis of Credit Card Defaulters 7. Analyzing the Heart Disease Dataset 8. Analyzing Online Retail II Dataset 9. Analysis of the Energy Consumed by Appliances 10. Analyzing Air Quality Appendix

Summary

In this chapter, we focused on the online shopping dataset, wherein we are trying to draw insights from a customer's behavior on the site. We analyzed a number of factors, such as conversion rate and total revenue generated.

We also performed univariate and bivariate analysis while taking various dataset features into consideration, such as pageview duration, types of visitors, types of traffic, and browsers used. Then, we implemented the K-means algorithm and elbow method to find the optimum value of clusters, and visualized scatterplots based on this value. These plots, in turn, provided us with useful information so that we can plan our next course of action.

In the next chapter, we will be looking at credit card defaults of Taiwanese customers and how data analytics can be used to prevent them.

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