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1. |
Record Nr. |
UNINA9911022465203321 |
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Autore |
Siddiqui Nabeel |
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Titolo |
Cultural Analytics in R: A Tidy Approach / / by Nabeel Siddiqui |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (292 pages) |
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Collana |
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Disciplina |
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Soggetti |
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Quantitative research |
Social sciences - Statistical methods |
Digital humanities |
Data Analysis and Big Data |
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy |
Digital Humanities |
R (Llenguatge de programació) |
Humanitats digitals |
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 contenuto |
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- 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. |
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Sommario/riassunto |
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This 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 |
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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. |
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