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)
7. Analyzing the Heart Disease Dataset
9. Analysis of the Energy Consumed by Appliances


In the previous chapter, we analyzed the data derived from the direct marketing campaign of a Portuguese bank using techniques such as hypothesis testing and clustering to be able to identify the impact it had on acquiring new customers for the bank.

In this chapter, we will be using exploratory data analysis to identify early warning signs of fatigue in the financial data. The dataset is about the bankruptcy prediction of Polish companies. The data was collected from the Emerging Markets Information Service. The bankrupt companies were analyzed for the period of 2000-2012, while the still-operating companies were evaluated from 2007 to 2013.


The dataset that's being used for this chapter can be found in the UCI repository:

Additionally, the dataset is also available on our GitHub repository:

For further information on this topic, you can...