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010   $a3-031-96618-X
024 7 $a10.1007/978-3-031-96618-7
035   $a(MiAaPQ)EBC32275596
035   $a(Au-PeEL)EBL32275596
035   $a(CKB)40832351700041
035   $a(DE-He213)978-3-031-96618-7
035   $a(OCoLC)1535978888
035   $a(EXLCZ)9940832351700041
100   $a20250831d2025      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aCultural Analytics in R: A Tidy Approach /$fby Nabeel Siddiqui
205   $a1st ed. 2025.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025.
215   $a1 online resource (292 pages)
225 1 $aUse R!,$x2197-5744
311 08$a3-031-96617-1 
327   $a- 1. Introduction -- 2. Understanding Base R -- 3. Dplyr and TidyR -- 4. Understanding the Grammar of Graphics -- 5. Analyzing Text the Tidy Way -- 6. Understanding Regression -- 7. Tidy Networks -- 8. Machine Learning with Tidy Model -- 9. Conclusions.
330   $aThis book offers an introduction to computational analysis for humanities scholars and researchers, systematically bridging traditional inquiry with the data-intensive capabilities of the R programming language. Employing diverse cultural datasets about gaming, film, literature, and music, it emphasizes the need to structure data, particularly through the ?tidy data? paradigm, as a foundational practice for efficient analysis. Beginning with the fundamentals of R, the book progresses through sophisticated analytical techniques, including text mining, sentiment analysis, network analysis, and machine learning, all contextualized with rich cultural examples. In doing so, it demystifies complex computational procedures, empowering readers to apply these tools to critical cultural research and fostering a new generation of data-literate humanists equipped to navigate and interpret the increasingly digital cultural record.
410  0$aUse R!,$x2197-5744
606   $aQuantitative research
606   $aSocial sciences$xStatistical methods
606   $aDigital humanities
606   $aData Analysis and Big Data
606   $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
606   $aDigital Humanities
615  0$aQuantitative research.
615  0$aSocial sciences$xStatistical methods.
615  0$aDigital humanities.
615 14$aData Analysis and Big Data.
615 24$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
615 24$aDigital Humanities.
676   $a001.422
676   $a005.7
700   $aSiddiqui$b Nabeel$01846179
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911022465203321
996   $aCultural Analytics in R: A Tidy Approach$94430317
997   $aUNINA