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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 applied univariate EDA to a given dataset to plot the distribution of individual features and implemented bivariate analysis to understand the relationship between two features. We also used a correlation heatmap to determine the correlation of the features of the DataFrame. Drawing conclusions from the results of our analyses, we were able to build a statistically probable profile of a high-risk customer most likely to default on a loan.

In the next chapter, we will analyze the medical data of 303 patients and link the data features with the diagnosis of heart disease.

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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.

See other products by Gururajan Govindan

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.

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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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