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Modern survey analysis : using Python for deeper insights / Walter R. Paczkowski.

9783030762674 (electronic bk.)
303076267X (electronic bk.)
9783030762667
3030762661

Cham : Springer, 2022.

English

1 online resource (xxvi, 347 pages) : illustrations (some color)

10.1007/978-3-030-76267-4 doi

HF5415

658.8/3

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.

Includes bibliographical references and index.

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Online resource; title from PDF title page (SpringerLink, viewed September 14, 2022).

Print version: 9783030762667

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