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Modern survey analysis = using Pytho...

Paczkowski, Walter R.

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Modern survey analysis = using Python for deeper insights /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modern survey analysis/ by Walter R. Paczkowski.
Reminder of title:	using Python for deeper insights /
Author:	Paczkowski, Walter R.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xxvi, 347 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Market surveys - Data processing. -
Online resource:	https://doi.org/10.1007/978-3-030-76267-4
ISBN:	9783030762674

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

Modern survey analysisusing Python for deeper insights /[electronic resource] :by Walter R. Paczkowski. - Cham :Springer International Publishing :2022. - xxvi, 347 p. :ill. (some col.), digital ;24 cm.

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.

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.

ISBN: 9783030762674

Standard No.: 10.1007/978-3-030-76267-4doiSubjects--Topical Terms:

3606340
Market surveys
--Data processing.

LC Class. No.: HF5415 / .P33 2022

Dewey Class. No.: 658.83

Modern survey analysis = using Python for deeper insights /
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245 1 0 $a Modern survey analysis $h [electronic resource] : $b using Python for deeper insights / $c by Walter R. Paczkowski.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xxvi, 347 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
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650 0 $a Python (Computer program language) $3 729789
650 1 4 $a Statistics in Business, Management, Economics, Finance, Insurance. $3 3538572
650 2 4 $a Data and Information Visualization. $3 3538847
650 2 4 $a Marketing. $3 536353
650 2 4 $a Statistics and Computing. $3 3594429
650 2 4 $a Data Science. $3 3538937
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856 4 0 $u https://doi.org/10.1007/978-3-030-76267-4
950 $a Mathematics and Statistics (SpringerNature-11649)