Technical requirements

In this chapter, we will use pandas, matplotlib, and the open source Python library Featuretools. You can install Featuretools with pip:

pip install featuretools

Otherwise, you can do so with conda:

conda install -c conda-forge featuretools

Make sure you have Featuretools version 1.14.0 or greater to run this notebook. The code was tested using versions 1.14.0 and 1.15.0.

Note

We will work with the Online Retail II dataset from the UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/datasets/Online+Retail+II. Dua, D. and Graff, C. (2019). UCI Machine Learning Repository (http://archive.ics.uci.edu/ml). Irvine, CA: The University of California, School of Information and Computer Science.

To download the Online Retail II dataset, follow these steps:

1. Go to https://archive.ics.uci.edu/ml/machine-learning-databases/00502/.
2. Click on online_retail_II.xlsx to download the data.
3. Save online_retail_II.xlsx to the folder...