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Record Nr. |
UNISA996490346603316 |
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Autore |
Paczkowski Walter R. |
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Titolo |
Modern Survey Analysis [[electronic resource] ] : Using Python for Deeper Insights / / by Walter R. Paczkowski |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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9783030762674 |
9783030762667 |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (365 pages) |
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Disciplina |
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Soggetti |
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Statistics |
Information visualization |
Marketing |
Mathematical statistics - Data processing |
Artificial intelligence - Data processing |
Statistics in Business, Management, Economics, Finance, Insurance |
Data and Information Visualization |
Statistics and Computing |
Data Science |
Estudis de mercat |
Processament de dades |
Python (Llenguatge de programació) |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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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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