Humanities data exploring networks von arnold taylor (10 Ergebnisse)
Sprache: Englisch
Verlag: Springer 2016
Serie: Quantitative Methods in the Humanities and Social Sciences, Buch 3 von 18. Buch 3 von 18 - Quantitative Methods in the Humanities and Social Sciences
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Sprache: Englisch
Verlag: Springer 2016
Serie: Quantitative Methods in the Humanities and Social Sciences, Buch 3 von 18. Buch 3 von 18 - Quantitative Methods in the Humanities and Social Sciences
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Sprache: Englisch
Verlag: Springer 2024
Serie: Quantitative Methods in the Humanities and Social Sciences, Buch 18 von 18. Buch 18 von 18 - Quantitative Methods in the Humanities and Social Sciences
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Sprache: Englisch
Verlag: Springer 2016
Serie: Quantitative Methods in the Humanities and Social Sciences, Buch 3 von 18. Buch 3 von 18 - Quantitative Methods in the Humanities and Social Sciences
- Softcover
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Weitere BilderSprache: Englisch
Verlag: Springer 2016
Serie: Quantitative Methods in the Humanities and Social Sciences, Buch 3 von 18. Buch 3 von 18 - Quantitative Methods in the Humanities and Social Sciences
- Softcover
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Taschenbuch. Zustand: Neu. Humanities Data in R | Exploring Networks, Geospatial Data, Images, and Text | Taylor Arnold (u. a.) | Taschenbuch | xiii | Englisch | 2016 | Springer | EAN 9783319366715 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot…]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer 2025
Serie: Quantitative Methods in the Humanities and Social Sciences, Buch 18 von 18. Buch 18 von 18 - Quantitative Methods in the Humanities and Social Sciences
- Softcover
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Taschenbuch. Zustand: Neu. Humanities Data in R | Exploring Networks, Geospatial Data, Images, and Text | Taylor Arnold (u. a.) | Taschenbuch | Quantitative Methods in the Humanities and Social Sciences | xiv | Englisch | 2025 | Springer | EAN 9783031625688 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr…. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer 2024
Serie: Quantitative Methods in the Humanities and Social Sciences, Buch 18 von 18. Buch 18 von 18 - Quantitative Methods in the Humanities and Social Sciences
- Hardcover
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Sprache: Englisch
Verlag: Springer 2025
Serie: Quantitative Methods in the Humanities and Social Sciences, Buch 18 von 18. Buch 18 von 18 - Quantitative Methods in the Humanities and Social Sciences
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 f…or 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 Rdoes not presuppose backgroundprogramming 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.
Sprache: Englisch
Verlag: Springer-Nature New York Inc 2024
Serie: Quantitative Methods in the Humanities and Social Sciences, Buch 18 von 18. Buch 18 von 18 - Quantitative Methods in the Humanities and Social Sciences
- Hardcover
Anbieter: Revaluation Books, Exeter, , Vereinigtes KönigreichRevaluation Books
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Hardcover. Zustand: Brand New. 2nd edition. 298 pages. 9.25x6.10x9.21 inches. In Stock.
Sprache: Englisch
Verlag: Springer, Springer 2024
Serie: Quantitative Methods in the Humanities and Social Sciences, Buch 18 von 18. Buch 18 von 18 - Quantitative Methods in the Humanities and Social Sciences
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 work…ing 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 Rdoes not presuppose backgroundprogramming 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.
