Modern Survey Analysis
Using Python for Deeper Insights
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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.
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
Autor*in
Walter R. Paczkowski
Themen in »Modern Survey Analysis«
Python consulting market research surveys data analytics regression models Pandas survey data visualization correspondence maps cross-tabs