© Gayathri Rajagopalan 2021
G. RajagopalanA Python Data Analyst’s Toolkithttps://doi.org/10.1007/978-1-4842-6399-0_4

4. Descriptive Data Analysis Basics

Gayathri Rajagopalan1  
(1)
Bangalore, India
 

In previous chapters, you were introduced to the Python language – the syntax, functions, conditional statements, data types, and different types of containers. You also reviewed more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python. Our focus now turns to the meat of the book, descriptive data analysis (also called exploratory data analysis).

In descriptive data analysis, we analyze past data with the help of methods like summarization, aggregation, and visualization to draw meaningful insights. ...

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