04605nam 22008055 450 991030025760332120220623181807.03-319-20702-410.1007/978-3-319-20702-5(CKB)3710000000521689(SSID)ssj0001585189(PQKBManifestationID)16264237(PQKBTitleCode)TC0001585189(PQKBWorkID)14864909(PQKB)11302923(DE-He213)978-3-319-20702-5(MiAaPQ)EBC6314319(MiAaPQ)EBC5579069(Au-PeEL)EBL5579069(OCoLC)922537749(PPN)190526378(EXLCZ)99371000000052168920150923d2015 u| 0engurnn#008mamaatxtccrHumanities Data in R Exploring Networks, Geospatial Data, Images, and Text /by Taylor Arnold, Lauren Tilton1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (XIII, 211 p. 50 illus., 33 illus. in color.)Quantitative Methods in the Humanities and Social Sciences,2199-0956Bibliographic Level Mode of Issuance: Monograph3-319-20701-6 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.Quantitative Methods in the Humanities and Social Sciences,2199-0956Statistics Application softwareSocial sciencesComputational linguisticsAnthropologyR (Computer program language)Statistics and Computing/Statistics Programshttps://scigraph.springernature.com/ontologies/product-market-codes/S12008Computer Appl. in Arts and Humanitieshttps://scigraph.springernature.com/ontologies/product-market-codes/I23036Methodology of the Social Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/X17000Computational Linguisticshttps://scigraph.springernature.com/ontologies/product-market-codes/N22000Anthropologyhttps://scigraph.springernature.com/ontologies/product-market-codes/X12000Statistics .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.Anthropology.001.30285Arnold Taylorauthttp://id.loc.gov/vocabulary/relators/aut755625Tilton Laurenauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910300257603321Humanities Data in R2541513UNINA