Data Science Projects with Python

Appendix

About

This section is included to assist the students to perform the activities in the book. It includes detailed steps that are to be performed by the students to achieve the objectives of the activities.

Chapter 1: Data Exploration and Cleaning

Activity 1: Exploring Remaining Financial Features in the Dataset

1. Create lists of feature names for the remaining financial features.

   These fall into two groups, so we will make lists of feature names as before, to facilitate analyzing them together. You can do this with the following code:

   bill_feats = ['BILL_AMT1', 'BILL_AMT2', 'BILL_AMT3', 'BILL_AMT4', 'BILL_AMT5', 'BILL_AMT6']

   pay_amt_feats = ['PAY_AMT1', 'PAY_AMT2', 'PAY_AMT3', 'PAY_AMT4', 'PAY_AMT5', 'PAY_AMT6']

2. Use .describe() ...