(Reference Guide) Exploratory Data Analysis with Python Cookbook

In today’s data-centric world, the ability to extract meaningful insights from vast amounts of data has become a valuable skill across industries. Exploratory Data Analysis (EDA) lies at the heart of this process, enabling us to comprehend, visualize, and derive valuable insights from various forms of data.

This book is a comprehensive guide to EDA using the Python programming language. It provides practical steps needed to effectively explore, analyze, and visualize structured and unstructured data. It offers hands-on guidance and code for concepts, such as generating summary statistics, analyzing single and multiple variables, visualizing data, analyzing text data, handling outliers, handling missing values, and automating the EDA process. It is suited for data scientists, data analysts, researchers, or curious learners looking to gain essential knowledge and practical steps for analyzing vast amounts of data to uncover insights.