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Cultural analytics in R = a tidy app...

Siddiqui, Nabeel.

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Cultural analytics in R = a tidy approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Cultural analytics in R/ by Nabeel Siddiqui.
Reminder of title:	a tidy approach /
Author:	Siddiqui, Nabeel.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xiii, 301 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	- 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.
Contained By:	Springer Nature eBook
Subject:	Culture - Research -
Online resource:	https://doi.org/10.1007/978-3-031-96618-7
ISBN:	9783031966187

Cultural analytics in R = a tidy approach /
Siddiqui, Nabeel.

Cultural analytics in Ra tidy approach /[electronic resource] :by Nabeel Siddiqui. - Cham :Springer Nature Switzerland :2025. - xiii, 301 p. :ill. (some col.), digital ;24 cm. - Use R!,2197-5744. - Use R!..

- 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.

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 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.

ISBN: 9783031966187

Standard No.: 10.1007/978-3-031-96618-7doiSubjects--Topical Terms:

3472727
Culture
--Research

LC Class. No.: HM623

Dewey Class. No.: 306.0285

Cultural analytics in R = a tidy approach /
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505 0 $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.
520 $a 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 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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