Books+ Search Results
Modern Survey Analysis Using Python for Deeper Insights
Title
Modern Survey Analysis [electronic resource] : Using Python for Deeper Insights / by Walter R. Paczkowski.
ISBN
9783030762674
Edition
1st ed. 2022.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2022.
Physical Description
1 online resource (XXVI, 347 p.) 226 illus., 221 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
September 23, 2022
Contents
1. Introduction
2. Understanding the structure of survey data
3. Shallow analyses of survey data
4. Deep analyses of survey data
5. Conclusion and wrap-up.
Subjects
Also listed under
SpringerLink (Online service)
Bookmark As
Citation
