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Humanities data in R[electronic resource] :exploring networks, geospatial data, images, and text /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	519.5
書名/作者:	Humanities data in R : exploring networks, geospatial data, images, and text // by Taylor Arnold, Lauren Tilton.
作者:	Arnold, Taylor.
其他作者:	Tilton, Lauren.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xiii, 211 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Mathematical statistics.
標題:	Humanities - Statistical methods
標題:	R (Computer program language)
標題:	Statistics.
標題:	Statistics and Computing/Statistics Programs.
標題:	Computer Appl. in Arts and Humanities.
標題:	Methodology of the Social Sciences.
標題:	Computational Linguistics.
標題:	Anthropology.
ISBN:	9783319207025
ISBN:	9783319207018
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-20702-5

Humanities data in R[electronic resource] :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. - Cham :Springer International Publishing :2015. - xiii, 211 p. :ill. (some col.), digital ;24 cm. - 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:

171875
Mathematical statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.5

Humanities data in R[electronic resource] :exploring networks, geospatial data, images, and text /
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