Book Image

The Data Analysis Workshop

By : Gururajan Govindan, Shubhangi Hora, Konstantin Palagachev
Book Image

The Data Analysis Workshop

By: Gururajan Govindan, Shubhangi Hora, Konstantin Palagachev

Overview of this book

Businesses today operate online and generate data almost continuously. While not all data in its raw form may seem useful, if processed and analyzed correctly, it can provide you with valuable hidden insights. The Data Analysis Workshop will help you learn how to discover these hidden patterns in your data, to analyze them, and leverage the results to help transform your business. The book begins by taking you through the use case of a bike rental shop. You'll be shown how to correlate data, plot histograms, and analyze temporal features. As you progress, you’ll learn how to plot data for a hydraulic system using the Seaborn and Matplotlib libraries, and explore a variety of use cases that show you how to join and merge databases, prepare data for analysis, and handle imbalanced data. By the end of the book, you'll have learned different data analysis techniques, including hypothesis testing, correlation, and null-value imputation, and will have become a confident data analyst.
Table of Contents (12 chapters)
Preface
7
7. Analyzing the Heart Disease Dataset
9
9. Analysis of the Energy Consumed by Appliances

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.