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Cultural Analytics in R: A Tidy Approach

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 emphas...

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Bibliographic Details
Main Author: Siddiqui, Nabeel (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edition:1st ed. 2025.
Series:Use R!,
Subjects:
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.
Online Access:https://doi.org/10.1007/978-3-031-96618-7
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Table of Contents:
  • - 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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