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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Humanities Data in R/ by Taylor Arnold, Lauren Tilton.
其他題名:	Exploring Networks, Geospatial Data, Images, and Text /
作者:	Arnold, Taylor.
其他作者:	Tilton, Lauren.
面頁冊數:	XIII, 211 p. 50 illus., 33 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics . -
電子資源:	https://doi.org/10.1007/978-3-319-20702-5
ISBN:	9783319207025

Humanities Data in R = Exploring Networks, Geospatial Data, Images, and Text /
Arnold, Taylor.

Humanities Data in RExploring Networks, Geospatial Data, Images, and Text /[electronic resource] :by Taylor Arnold, Lauren Tilton. - 1st ed. 2015. - XIII, 211 p. 50 illus., 33 illus. in color.online resource. - Quantitative Methods in the Humanities and Social Sciences,2199-0956. - Quantitative Methods in the Humanities and Social Sciences,.

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.

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.

ISBN: 9783319207025

Standard No.: 10.1007/978-3-319-20702-5doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

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