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Displaying results 1 to 3 of 3.

  1. Humanities data in R
    exploring networks, geospatial data, images, and text
    Author: Arnold, Taylor; Tilton, Lauren
    Published: [2015]; © 2015
    Publisher:  Springer, Cham ; Heidelberg ; New York ; Dordrecht ; London

    "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,... more

    Location:
    Universitätsbibliothek Bamberg
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    Location:
    Universitätsbibliothek Eichstätt-Ingolstadt
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    Universitätsbibliothek Erlangen-Nürnberg, Technisch-naturwissenschaftliche Zweigbibliothek
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    Universitätsbibliothek Passau
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    Universitätsbibliothek Regensburg
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    "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."--Page 4 de la couverture

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    ISBN: 9783319207018; 9783319366715
    RVK Categories: ST 601 ; ST 250 ; ES 275 ; AK 39950
    Series: Quantitative methods in the humanities and social sciences
    Subjects: Raumdaten; Netzwerkanalyse <Soziologie>; Digital Humanities; Quantitative Bildanalyse; R <Programm>; Sprachanalyse
    Other subjects: Statistique; Progiciels; Linguistique / Informatique; Sciences sociales; Humanities / Statistical methods / Data processing; Sciences humaines / Méthodes statistiques / Informatique; Mathematical statistics; Statistique mathématique; R (Computer program language); R (Langage de programmation); Mathematical statistics; R (Computer program language)
    Scope: xiii, 211 Seiten, Illustrationen, Diagramme, Karten
    Notes:

    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
  2. Humanities data in R
    exploring networks, geospatial data, images, and text
    Author: Arnold, Taylor; Tilton, Lauren
    Published: [2015]; © 2015
    Publisher:  Springer, Cham ; Heidelberg ; New York ; Dordrecht ; London

    "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,... more

    Location:
    Freie Universität Berlin, Universitätsbibliothek
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

    Location:
    Humboldt-Universität zu Berlin, Universitätsbibliothek, Jacob-und-Wilhelm-Grimm-Zentrum
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    Location:
    Europa-Universität Viadrina, Universitätsbibliothek
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    "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."--Page 4 de la couverture

     
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    Source: Philologische Bibliothek, FU Berlin
    Language: English
    Media type: Book
    ISBN: 9783319207018; 9783319366715
    RVK Categories: ST 601 ; ST 250 ; ES 275 ; AK 39950
    Series: Quantitative methods in the humanities and social sciences
    Subjects: Raumdaten; Netzwerkanalyse <Soziologie>; Digital Humanities; Quantitative Bildanalyse; R <Programm>; Sprachanalyse
    Other subjects: Statistique; Progiciels; Linguistique / Informatique; Sciences sociales; Humanities / Statistical methods / Data processing; Sciences humaines / Méthodes statistiques / Informatique; Mathematical statistics; Statistique mathématique; R (Computer program language); R (Langage de programmation); Mathematical statistics; R (Computer program language)
    Scope: xiii, 211 Seiten, Illustrationen, Diagramme, Karten
    Notes:

    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
  3. Humanities data in R
    exploring networks , geospatial data, images, and text
    Author: Tilton, Lauren; Arnold, Taylor
    Published: 2015
    Publisher:  Springer, Cham

    Location:
    Universitätsbibliothek Braunschweig
    Signature:
    2941-1117
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    Location:
    Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden
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    Location:
    Niedersächsische Staats- und Universitätsbibliothek Göttingen
    Signature:
    2017 A 5289
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    Location:
    Niedersächsische Staats- und Universitätsbibliothek Göttingen
    Signature:
    16 : C 5240 Arn
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    Location:
    HafenCity Universität Hamburg, Bibliothek
    Signature:
    ST 250 R 001
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    Location:
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
    Signature:
    INF 850:YD0016
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    Location:
    Universitätsbibliothek Leipzig
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    Location:
    Universität Leipzig, Universitätsbibliothek, Bibliothek Medizin/Naturwissenschaften
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    Location:
    Universitätsbibliothek der Eberhard Karls Universität
    Signature:
    57 A 4224
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    Location:
    Herzog August Bibliothek Wolfenbüttel
    Signature:
    68.841
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    Content information
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783319207018
    Other identifier:
    9783319207018
    RVK Categories: ES 275 ; ST 601 ; ST 250
    Series: Quantitative methods in the humanities and social sciences
    Subjects: Humanities; Linguistique; Mathematical statistics; Statistical methods; Informatique; Data processing; Mathematical statistics; Progiciels; R (Computer program language); R (Computer program language); R (Langage de programmation); Sciences humaines; Sciences sociales; Méthodes statistiques; Statistique; Informatique; Statistique mathématique
    Scope: XIII, 211 S., Ill., graph. Darst., Kt.
    Notes:

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