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Modern Survey Analysis
Using Python for Deeper Insights
Buch von Walter R. Paczkowski
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor

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).

Zusammenfassung

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

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2022
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xxvi
347 S.
5 s/w Illustr.
221 farbige Illustr.
347 p. 226 illus.
221 illus. in color.
ISBN-13: 9783030762667
ISBN-10: 3030762661
Sprache: Englisch
Einband: Gebunden
Autor: Paczkowski, Walter R.
Auflage: 1st edition 2022
Hersteller: Springer Nature Switzerland
Springer International Publishing
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 26 mm
Von/Mit: Walter R. Paczkowski
Erscheinungsdatum: 12.09.2022
Gewicht: 0,729 kg
Artikel-ID: 119828265
Über den Autor

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).

Zusammenfassung

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

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2022
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xxvi
347 S.
5 s/w Illustr.
221 farbige Illustr.
347 p. 226 illus.
221 illus. in color.
ISBN-13: 9783030762667
ISBN-10: 3030762661
Sprache: Englisch
Einband: Gebunden
Autor: Paczkowski, Walter R.
Auflage: 1st edition 2022
Hersteller: Springer Nature Switzerland
Springer International Publishing
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 26 mm
Von/Mit: Walter R. Paczkowski
Erscheinungsdatum: 12.09.2022
Gewicht: 0,729 kg
Artikel-ID: 119828265
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