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010   $a9783030762674$b(electronic bk.)
010   $z9783030762667
024 7 $a10.1007/978-3-030-76267-4
035   $a(MiAaPQ)EBC7084534
035   $a(Au-PeEL)EBL7084534
035   $a(CKB)24819667200041
035   $a(DE-He213)978-3-030-76267-4
035   $a(PPN)264958586
035   $a(EXLCZ)9924819667200041
100   $a20220911d2022      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aModern Survey Analysis$b[electronic resource] $eUsing Python for Deeper Insights /$fby Walter R. Paczkowski
205   $a1st ed. 2022.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022.
215   $a1 online resource (365 pages)
311 08$aPrint version: Paczkowski, Walter R. Modern Survey Analysis Cham : Springer International Publishing AG,c2022 9783030762667 
320   $aIncludes bibliographical references and index.
327   $a1. 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.
330   $aThis 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.
606   $aStatistics
606   $aInformation visualization
606   $aMarketing
606   $aMathematical statistics$xData processing
606   $aArtificial intelligence$xData processing
606   $aStatistics in Business, Management, Economics, Finance, Insurance
606   $aData and Information Visualization
606   $aMarketing
606   $aStatistics and Computing
606   $aData Science
606   $aEstudis de mercat$2thub
606   $aProcessament de dades$2thub
606   $aPython (Llenguatge de programació)$2thub
608   $aLlibres electrònics$2thub
615  0$aStatistics.
615  0$aInformation visualization.
615  0$aMarketing.
615  0$aMathematical statistics$xData processing.
615  0$aArtificial intelligence$xData processing.
615 14$aStatistics in Business, Management, Economics, Finance, Insurance.
615 24$aData and Information Visualization.
615 24$aMarketing.
615 24$aStatistics and Computing.
615 24$aData Science.
615  7$aEstudis de mercat
615  7$aProcessament de dades
615  7$aPython (Llenguatge de programació)
676   $a382.072
700   $aPaczkowski$b Walter R.$01074957
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a9910592992903321
996   $aModern Survey Analysis$92914372
997   $aUNINA