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Humanities Data in R : Exploring Networks, Geospatial Data, Images, and Text / / by Taylor Arnold, Lauren Tilton



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Autore: Arnold Taylor Visualizza persona
Titolo: Humanities Data in R : Exploring Networks, Geospatial Data, Images, and Text / / by Taylor Arnold, Lauren Tilton Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Edizione: 1st ed. 2015.
Descrizione fisica: 1 online resource (XIII, 211 p. 50 illus., 33 illus. in color.)
Disciplina: 001.30285
Soggetto topico: Statistics 
Application software
Social sciences
Computational linguistics
Anthropology
R (Computer program language)
Statistics and Computing/Statistics Programs
Computer Appl. in Arts and Humanities
Methodology of the Social Sciences
Computational Linguistics
Persona (resp. second.): TiltonLauren
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di contenuto: Set-up -- A Short Introduction to R -- EDA I Continuous and Categorical Data -- EDA II Multivariate Analysis -- EDA III Advanced Graphics -- Networks -- Geospatial Data -- Image Data -- Natural Language Processing -- Text Analysis -- Appendix.
Sommario/riassunto: This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social scientists. Exploring Humanities Data Types with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on aesthetics and facility). Everything is hands-on: networks are explained using U.S. Supreme Court opinions, and low-level NLP methods are applied to short stories by Sir Arthur Conan Doyle. The book’s data, code, appendix with 100 basic programming exercises and solutions, and dedicated website are valuable resources for readers. The methodology will have wide application in classrooms and self-study for the humanities, but also for use in linguistics, anthropology, and political science. Outside the classroom, this intersection of humanities and computing is particularly relevant for research and new modes of dissemination across archives, museums and libraries.
Titolo autorizzato: Humanities Data in R  Visualizza cluster
ISBN: 3-319-20702-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910300257603321
Lo trovi qui: Univ. Federico II
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Serie: Quantitative Methods in the Humanities and Social Sciences, . 2199-0956