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03455nam a22005415i 4500 |
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978-3-319-20702-5 |
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DE-He213 |
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20151204174618.0 |
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150923s2015 gw | s |||| 0|eng d |
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|a 9783319207025
|9 978-3-319-20702-5
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|a 10.1007/978-3-319-20702-5
|2 doi
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|d GrThAP
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|a QA276-280
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|a 519.5
|2 23
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| 100 |
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|a Arnold, Taylor.
|e author.
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| 245 |
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|a Humanities Data in R
|h [electronic resource] :
|b Exploring Networks, Geospatial Data, Images, and Text /
|c by Taylor Arnold, Lauren Tilton.
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| 250 |
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|a 1st ed. 2015.
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| 264 |
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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| 300 |
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|a XIII, 211 p. 50 illus., 33 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
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|a Quantitative Methods in the Humanities and Social Sciences,
|x 2199-0956
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| 505 |
0 |
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|a 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.
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| 520 |
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|a 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.
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| 650 |
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|a Statistics.
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| 650 |
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|a Application software.
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| 650 |
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|a Computational linguistics.
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|a Anthropology.
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|a Social sciences.
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|a Statistics.
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|a Statistics and Computing/Statistics Programs.
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| 650 |
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|a Computer Appl. in Arts and Humanities.
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| 650 |
2 |
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|a Methodology of the Social Sciences.
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| 650 |
2 |
4 |
|a Computational Linguistics.
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| 650 |
2 |
4 |
|a Anthropology.
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| 700 |
1 |
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|a Tilton, Lauren.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783319207018
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| 830 |
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|a Quantitative Methods in the Humanities and Social Sciences,
|x 2199-0956
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-319-20702-5
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SMA
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| 950 |
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|a Mathematics and Statistics (Springer-11649)
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