| 书目名称 | Modern Survey Analysis | | 副标题 | Using Python for Dee | | 编辑 | Walter R. Paczkowski | | 视频video | | | 概述 | 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 | | 图书封面 |  | | 描述 | .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 surveydata.. . | | 出版日期 | Book 2022 | | 关键词 | Python; consulting; market research; surveys; data analytics; regression models; Pandas; survey data visual | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-76267-4 | | isbn_softcover | 978-3-030-76269-8 | | isbn_ebook | 978-3-030-76267-4 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 17:01:28
