Analyzing Individual Quantities

Analyzing individual variables is usually the way to start with EDA after figuring out data types. Summarizing a variable or looking at its distribution can be very helpful.

We will be using the Default of Credit Card Clients Dataset. This dataset contains information on default payments, demographic factors, credit data, history of payment, and bill statements of credit card clients in Taiwan from April 2005 to September 2005. However, we will use the cleaned version of the dataset from the lesson Inconsistent Data. The details of individual columns are mentioned below.