Introduction

In the previous chapter, we studied and analyzed a heart disease dataset and studied the relationships between different features of the dataset to gain a better understanding of the available data and derive useful insights from it.

This chapter follows a similar pattern as the previous chapters and guides you through data-specific analysis in a real-world domain and situation. This chapter targets the retail industry, and we're going to be analyzing data retrieved from an online retail company to observe patterns and correlations and to evaluate the business more accurately and in more depth.

Note

The dataset we are going to use has been obtained from the UCI repository of datasets and can be found at https://archive.ics.uci.edu/ml/datasets/Online+Retail+II#. To use the dataset in the exercises and activities, you can use the GitHub repo, at https://packt.live/3e7wZxs.

As you have seen in the previous chapters, transforming data into business insights...