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Humanities Data in R Exploring Networks, Geospatial Data, Images, and Text /

This book teaches readers to integrate data analysis techniques into humanities research practices using the R programming language. Methods for general-purpose visualization and analysis are introduced first, followed by domain-specific techniques for working with networks, text, geospatial data, t...

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Autori principali: Arnold, Taylor (Autore), Tilton, Lauren (Autore)
Ente Autore: SpringerLink (Online service)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Cham : Springer International Publishing : Imprint: Springer, 2024.
Edizione:2nd ed. 2024.
Serie:Quantitative Methods in the Humanities and Social Sciences,
Soggetti:
Mathematical statistics > Data processing.
Digital humanities.
Sociology > Methodology.
Computational linguistics.
Anthropology.
Statistics and Computing.
Digital Humanities.
Sociological Methods.
Computational Linguistics.
Accesso online:https://doi.org/10.1007/978-3-031-62566-4
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Sommario:
  • - Part I Core
  • Working with Data in R
  • EDA I: Grammar of Graphics
  • EDA II: Organizing Data
  • EDA III: Restructuring Data
  • Collecting Data
  • Part II Data Types
  • Textual Data
  • Network Data
  • Temporal Data
  • Spatial Data
  • Image Data
  • Part III Additional Methods
  • Programming in R
  • Data Formats.

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