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The Data Analysis Workshop

You're reading from The Data Analysis Workshop Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way

Product type Paperback

Published in Jul 2020

Publisher Packt

ISBN-13 9781839211386

Length 626 pages

Edition 1st Edition

Languages

Python

Tools

Jupyter

Concepts

Data Analysis

Authors (3):

Konstantin Palagachev

Gururajan Govindan

Shubhangi Hora

View More author details

Table of Contents (12) Chapters

Preface

1. Bike Sharing Analysis

2. Absenteeism at Work FREE CHAPTER

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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Authors (3)

Gururajan Govindan

Gururajan Govindan

Gururajan Govindan is a data scientist, intrapreneur, and trainer with more than seven years of experience working across domains such as finance and insurance. He is also an author of The Data Analysis Workshop, a book focusing on data analytics. He is well known for his expertise in data-driven decision-making and machine learning with Python.

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Konstantin Palagachev

Konstantin Palagachev

Konstantin Palagachev holds a Ph.D. in applied mathematics and optimization, with an interest in operations research and data analysis. He is recognized for his passion for delivering data-driven solutions and expertise in the area of urban mobility, autonomous driving, insurance, and finance. He is also a devoted coach and mentor, dedicated to sharing his knowledge and passion for data science.

See other products by Konstantin Palagachev

Shubhangi Hora

Shubhangi Hora

Shubhangi Hora is a data scientist, Python developer, and published writer. With a background in computer science and psychology, she is particularly passionate about healthcare-related AI, including mental health. Shubhangi is also a trained musician.

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