Modern Survey Analysis

Using Python for Deeper Insights

By:

Walter R Paczkowski

Format:

Hardback

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Description

This book develops survey data analysis tools in Python, to create and analyze cross-tab tables and data visuals, weight data, perform hypothesis tests, and handle special survey questions such as Check-all-that-Apply. In addition, the basics of Bayesian data analysis and its Python implementation are presented. Since surveys are widely used as the primary method to collect data, and ultimately information, on attitudes, interests, and opinions of customers and constituents, these tools are vital for private or public sector policy decisions. As a compact volume, this book uses case studies to illustrate methods of analysis essential for those who work with survey data in either sector. It focuses on two overarching objectives: Demonstrate how to extract actionable, insightful, and useful information from survey data; and Introduce Python and Pandas for analyzing survey data.

Author Biography:

Walter R. Paczkowski, PhD, has worked at AT&T, AT&T Bell Labs, and AT&T Labs. He founded Data Analytics Corp., a statistical consulting company, in 2001. Dr. Paczkowski is also a part-time lecturer of economics at Rutgers University. He is the author of Business Analytics: Data Science for Business Problems (2022), Deep Data Analytics for New Product Development (2020), Pricing Analytics: Models and Advanced Quantitative Techniques for Product Pricing (2018), and Market Data Analysis Using JMP (2016).

Release date NZ

September 12th, 2022

Author

Walter R Paczkowski

Audience

Professional & Vocational

Edition

1st ed. 2022

Illustrations

221 Illustrations, color; 5 Illustrations, black and white; XXVI, 347 p. 226 illus., 221 illus. in color.

Pages

347

ISBN-13

9783030762667

Product ID

34851932

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