Fr. 134.00

Modern Survey Analysis - Using Python for Deeper Insights

English · Hardback

Shipping usually within 2 to 3 weeks (title will be printed to order)

Description

Read more

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.


List of 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.

About the author










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).



Product details

Authors Walter R Paczkowski, Walter R. Paczkowski
Publisher Springer, Berlin
 
Languages English
Product format Hardback
Released 12.09.2022
 
EAN 9783030762667
ISBN 978-3-0-3076266-7
No. of pages 347
Dimensions 155 mm x 24 mm x 235 mm
Illustrations XXVI, 347 p. 226 illus., 221 illus. in color.
Subjects Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics
Social sciences, law, business > Business > General, dictionaries

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.