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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

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781839211386
Length 626 pages
Edition 1st Edition
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Authors (3):
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Konstantin Palagachev Konstantin Palagachev
Author Profile Icon Konstantin Palagachev
Konstantin Palagachev
Gururajan Govindan Gururajan Govindan
Author Profile Icon Gururajan Govindan
Gururajan Govindan
Shubhangi Hora Shubhangi Hora
Author Profile Icon Shubhangi Hora
Shubhangi Hora
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Toc

Table of Contents (12) Chapters Close

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 performed various data cleaning, preparation, and analysis techniques on the Online Retail II dataset and observed the importance of these processes. We learned how to make the decision between keeping outlier instances and deleting them and also how to break one feature into several features to enhance the analysis. Lastly, we learned how to ask our data the right questions and manipulate it to provide the answers—the definition of successful data analysis.

In the following chapter, we will follow a similar path with a different dataset and, thus, a new domain—that of appliance energy consumption. The techniques used depend on the data we have, and so while some of the actions might be repeated, some will be new.

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