Developing a data analysis routine

Although there is no standard approach when beginning a data analysis, it is typically a good idea to develop a routine for yourself when first examining a dataset. Similar to everyday routines that we have for waking up, showering, going to work, eating, and so on, a data analysis routine helps you to quickly get acquainted with a new dataset. This routine can manifest itself as a dynamic checklist of tasks that evolves as your familiarity with pandas and data analysis expands.

Exploratory Data Analysis (EDA) is a term used to describe the process of analyzing datasets. Typically it does not involve model creation, but summarizing the characteristics of the data and visualizing them. This is not new and was promoted by John Tukey in his book Exploratory Data Analysis in 1977.

Many of these same processes are still applicable and useful to understand a dataset. Indeed, they can also help with creating machine learning models later...