Modern Survey Analytics: Using Python for Deeper Insights

Surveys are widely used as a primary way to gather data, and ultimately information, on attitudes, interests, and opinions (AIOs) of customers and constituents that are vital for private or public sector policy decisions. A compact volume that discusses and illustrates methods of analysis, this book is essential to those who evaluate survey data in either sector. It focuses on two overarching objectives:

Demonstrating how to extract actionable, insightful, and useful information from their survey data
1. Introducing Python and Pandas and showing readers how to use this software to analyze their survey data.

This book offers readers fundamentals of analyzing survey data from a tabular, visual, and statistical perspective. Readers will be able to use Python to create data visuals, to create and analyze tables, and to create and analyze correspondence maps of the tables. The included statistics is at an introductory level. A Jupyter notebook with data is provided.