1.

Record Nr.

UNINA9910300257603321

Autore

Arnold Taylor

Titolo

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

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015

ISBN

3-319-20702-4

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (XIII, 211 p. 50 illus., 33 illus. in color.)

Collana

Quantitative Methods in the Humanities and Social Sciences, , 2199-0956

Disciplina

001.30285

Soggetti

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

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

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.