001449504 000__ 02800cam\a2200493\i\4500
001449504 001__ 1449504
001449504 003__ OCoLC
001449504 005__ 20230310004403.0
001449504 006__ m\\\\\o\\d\\\\\\\\
001449504 007__ cr\un\nnnunnun
001449504 008__ 220914s2022\\\\sz\a\\\\ob\\\\001\0\eng\d
001449504 019__ $$a1344371346
001449504 020__ $$a9783030762674$$q(electronic bk.)
001449504 020__ $$a303076267X$$q(electronic bk.)
001449504 020__ $$z9783030762667
001449504 020__ $$z3030762661
001449504 0247_ $$a10.1007/978-3-030-76267-4$$2doi
001449504 035__ $$aSP(OCoLC)1344379691
001449504 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dN$T$$dOCLCF$$dOCLCQ
001449504 049__ $$aISEA
001449504 050_4 $$aHF5415
001449504 08204 $$a658.8/3$$223/eng/20220914
001449504 1001_ $$aPaczkowski, Walter R.,$$eauthor.
001449504 24510 $$aModern survey analysis :$$busing Python for deeper insights /$$cWalter R. Paczkowski.
001449504 264_1 $$aCham :$$bSpringer,$$c2022.
001449504 300__ $$a1 online resource (xxvi, 347 pages) :$$billustrations (some color)
001449504 336__ $$atext$$btxt$$2rdacontent
001449504 337__ $$acomputer$$bc$$2rdamedia
001449504 338__ $$aonline resource$$bcr$$2rdacarrier
001449504 504__ $$aIncludes bibliographical references and index.
001449504 5050_ $$a1. Introduction -- 2. Understanding the structure of survey data -- 3. Shallow analyses of survey data -- 4. Deep analyses of survey data -- 5. Conclusion and wrap-up.
001449504 506__ $$aAccess limited to authorized users.
001449504 520__ $$aThis book develops survey data analysis tools in Python, to create and analyze cross-tab tables and data visuals, weight data, perform hypothesis tests, and handle special survey questions such as Check-all-that-Apply. In addition, the basics of Bayesian data analysis and its Python implementation are presented. Since surveys are widely used as the primary method to collect data, and ultimately information, on attitudes, interests, and opinions of customers and constituents, these tools are vital for private or public sector policy decisions. As a compact volume, this book uses case studies to illustrate methods of analysis essential for those who work with survey data in either sector. It focuses on two overarching objectives: Demonstrate how to extract actionable, insightful, and useful information from survey data; and Introduce Python and Pandas for analyzing survey data.
001449504 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 14, 2022).
001449504 650_0 $$aMarket surveys$$xData processing.
001449504 650_0 $$aPython (Computer program language)
001449504 655_0 $$aElectronic books.
001449504 77608 $$iPrint version:$$z3030762661$$z9783030762667$$w(OCoLC)1246351082
001449504 852__ $$bebk
001449504 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-76267-4$$zOnline Access$$91397441.1
001449504 909CO $$ooai:library.usi.edu:1449504$$pGLOBAL_SET
001449504 980__ $$aBIB
001449504 980__ $$aEBOOK
001449504 982__ $$aEbook
001449504 983__ $$aOnline
001449504 994__ $$a92$$bISE