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Modern Survey Analysis de Walter R. Paczkowski

Modern Survey Analysis

Autor Walter R. Paczkowski
en Limba Engleză Hardback – 12 sep 2022
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:
  1. Demonstrate how to extract actionable, insightful, and useful information from survey data; and
  2. Introduce Python and Pandas for analyzing survey data.

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Specificații

ISBN-13: 9783030762667
ISBN-10: 3030762661
Pagini: 376
Ilustrații: XXVI, 347 p. 226 illus., 221 illus. in color.
Dimensiuni: 160 x 241 x 26 mm
Greutate: 0.68 kg
Ediția:1st ed. 2022
Editura: Springer
Locul publicării:Cham, Switzerland

Cuprins

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.

Notă biografică

Walter R. Paczkowski earned his Ph.D. in Economics at Texas A&M University and has worked at AT&T's Analytical Support Center, Market Analysis and Forecasting Division, and Business Research Division. He was also a Member of the Technical Staff at AT&T Bell Labs before founding Data Analytics Corp., a statistical consulting and data modeling company, in 2001. Dr. Paczkowski is a part-time lecturer in the Department of Economics and the Department of Statistics at Rutgers University. He published six books in, what he refers to as, his Analytics Series. His latest are Business Analytics: Data Science for Business Problems (Springer, 2021) and Modern Survey Analysis: Using Python for Deeper Insights (Springer, 2022).

Textul de pe ultima copertă

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:
  1. Demonstrate how to extract actionable, insightful, and useful information from survey data; and
  2. Introduce Python and Pandas for analyzing survey data.

Caracteristici

Discusses data visualization for survey data, so that readers can conduct more sophisticated analyses Uses Python to illustrate concepts Includes a Jupyter notebook with data and Python code, so that readers can apply and replicate lessons