Functional Python Programming

Exploratory Data Analysis

Later in this book, we'll use the field of EDA as a source for concrete examples of functional programming. This field is rich with algorithms and approaches to working with complex datasets; functional programming is often a very good fit between the problem domain and automated solutions.

While details vary from author to author, there are several widely accepted stages of EDA. These include the following:

• Data preparation: This might involve extraction and transformation for source applications. It might involve parsing a source data format and doing some kinds of data scrubbing to remove unusable or invalid data. This is an excellent application of functional design techniques.
• Data exploration: This is a description ...