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020 _a9783031625664
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024 7 _a10.1007/978-3-031-62566-4
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050 4 _aQA276.4-.45
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072 7 _aCOM077000
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100 1 _aArnold, Taylor.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981059
245 1 0 _aHumanities Data in R
_h[electronic resource] :
_bExploring Networks, Geospatial Data, Images, and Text /
_cby Taylor Arnold, Lauren Tilton.
250 _a2nd ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXIV, 284 p. 80 illus., 50 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aQuantitative Methods in the Humanities and Social Sciences,
_x2199-0964
505 0 _a- Part I Core -- Working with Data in R -- EDA I: Grammar of Graphics -- EDA II: Organizing Data -- EDA III: Restructuring Data -- Collecting Data -- Part II Data Types -- Textual Data -- Network Data -- Temporal Data -- Spatial Data -- Image Data -- Part III Additional Methods -- Programming in R -- Data Formats.
520 _aThis book teaches readers to integrate data analysis techniques into humanities research practices using the R programming language. Methods for general-purpose visualization and analysis are introduced first, followed by domain-specific techniques for working with networks, text, geospatial data, temporal data, and images. The book is designed to be a bridge between quantitative and qualitative methods, individual and collaborative work, and the humanities and social sciences. The second edition of the text is a significant revision, with almost every aspect of the text rewritten in some way. The most notable difference is the incorporation of new R packages such as ggplot2 and dplyr that center broad data-science concepts. This 2nd edition of Humanities Data with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis, with one chapter dedicated to each stage of the data-science pipeline (data collection, visualization, manipulation, and relational joins). Following this, text analysis, networks, temporal data, geospatial data, and image analysis each have a dedicated chapter. These are grounded in examples to move readers beyond the intimidation of adding new tools to their research. The final section of the book extends the core material with additional computer science techniques for processing large datasets. Everything is hands-on: image analysis is explained using digitized photographs from the 1930s, and networks are applied to page links on Wikipedia. After working through these examples with the provided data, code and book website, readers are prepared to apply new methods to their own work. The open source R programming language, with its myriad packages and popularity within the sciences and social sciences, is particularly well-suited to working with humanities data. R packages are also highlighted in an appendix. 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.
650 0 _aMathematical statistics
_xData processing.
_964750
650 0 _aDigital humanities.
650 0 _aSociology
_xMethodology.
_959417
650 0 _aComputational linguistics.
650 0 _aAnthropology.
_960002
650 1 4 _aStatistics and Computing.
_966446
650 2 4 _aDigital Humanities.
650 2 4 _aSociological Methods.
_971801
650 2 4 _aComputational Linguistics.
650 2 4 _aAnthropology.
_960002
700 1 _aTilton, Lauren.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981060
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031625657
776 0 8 _iPrinted edition:
_z9783031625671
776 0 8 _iPrinted edition:
_z9783031625688
830 0 _aQuantitative Methods in the Humanities and Social Sciences,
_x2199-0964
_975238
856 4 0 _uhttps://doi.org/10.1007/978-3-031-62566-4
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
999 _c61819
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