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| Verfasst von: | Arnold, Taylor [VerfasserIn]  |
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| | Tilton, Lauren [VerfasserIn] |
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| Titel: | Humanities Data in R |
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| Titelzusatz: | Exploring Networks, Geospatial Data, Images, and Text |
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| Verf.angabe: | by Taylor Arnold, Lauren Tilton |
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| Ausgabe: | 2nd ed. 2024. |
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| Verlagsort: | Cham |
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| | Cham |
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| Verlag: | Springer International Publishing |
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| | Imprint: Springer |
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| E-Jahr: | 2024 |
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| Jahr: | 2024. |
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| | 2024. |
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| Umfang: | 1 Online-Ressource(XIV, 284 p. 80 illus., 50 illus. in color.) |
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| Gesamttitel/Reihe: | Quantitative Methods in the Humanities and Social Sciences |
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| ISBN: | 978-3-031-62566-4 |
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| Abstract: | - 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. |
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| | This 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. |
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| DOI: | doi:10.1007/978-3-031-62566-4 |
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| URL: | Resolving-System: https://doi.org/10.1007/978-3-031-62566-4 |
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| | DOI: https://doi.org/10.1007/978-3-031-62566-4 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Bibliogr. Hinweis: | Erscheint auch als : Druck-Ausgabe: Arnold, Taylor: Humanities data in R. - Second edition. - Cham, Switzerland : Springer, 2024. - xiv, 284 Seiten |
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| | Erscheint auch als : Druck-Ausgabe |
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| | Erscheint auch als : Druck-Ausgabe |
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| RVK-Notation: | MR 2000 |
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| Sach-SW: | Anthropologie |
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| | Anthropology |
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| | COMPUTERS / Computer Science |
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| | COMPUTERS / Mathematical & Statistical Software |
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| | COMPUTERS / Natural Language Processing |
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| | Computational linguistics |
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| | Computer-Anwendungen in Kunst und Geisteswissenschaften |
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| | Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften |
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| | Computerlinguistik und Korpuslinguistik |
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| | Information technology: general issues |
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| | MATHEMATICS / Probability & Statistics / General |
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| | Mathematical & statistical software |
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| | Mathematische und statistische Software |
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| | Probability & statistics |
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| | SOCIAL SCIENCE / Anthropology / General |
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| | SOCIAL SCIENCE / Sociology / General |
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| | Social research & statistics |
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| | Sociology |
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| | Soziologie |
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| | Wahrscheinlichkeitsrechnung und Statistik |
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| K10plus-PPN: | 1896935060 |
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| Lokale URL UB: |  Zum Volltext |
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Humanities Data in R / Arnold, Taylor [VerfasserIn]; 2024. (Online-Ressource)
