[PDF.47ds] Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text (Quantitative Methods in the Humanities and Social Sciences)

Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text (Quantitative Methods in the Humanities and Social Sciences)

[PDF.sa03] Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text (Quantitative Methods in the Humanities and Social Sciences)

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 | #851732 in Books |  2015-09-24 | Original language:English | PDF # 1 |  9.25 x6.25 x.75l,.0 | File type: PDF | 211 pages

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|| ||Arnold and Tilton are a brilliant team, and this highly accessible book will appeal to a wide range of digital humanists. The text analysis chapters are very good, and the authors' work to develop an R package for interacting with the Stanford CoreNLP ja

​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 sciences. Humanities Data with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory d...

You can specify the type of files you want, for your gadget.Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text (Quantitative Methods in the Humanities and Social Sciences)   |  Taylor Arnold, Lauren Tilton.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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