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  1. Humanities Data in R
    Exploring Networks, Geospatial Data, Images, and Text
    Author: Arnold, Taylor; Tilton, Lauren
    Published: [2015]; © 2015
    Publisher:  Springer, Cham

    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

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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

     
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    Volltext (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783319207025
    Other identifier:
    RVK Categories: ST 601 ; ST 250
    Edition: 1st ed. 2015
    Series: Quantitative Methods in the Humanities and Social Sciences
    Subjects: Statistics; Application software; Computational linguistics; Anthropology; Social sciences; Humanities; Linguistique; Mathematical statistics; Statistical methods; Informatique; Data processing; Progiciels; R (Computer program language); R (Langage de programmation); Sciences humaines; Sciences sociales; Méthodes statistiques; Statistique; Statistique mathématique
    Scope: 1 Online-Ressource (XIII, 211 Seiten), 50 Illustrationen (33 in Farbe)
    Notes:

    Set-upA 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

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    Universitätsbibliothek Bamberg
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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
  3. Humanities Data in R
    Exploring Networks, Geospatial Data, Images, and Text
    Author: Arnold, Taylor; Tilton, Lauren
    Published: [2015]; © 2015
    Publisher:  Springer, Cham

    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:
    Universität Potsdam, Universitätsbibliothek
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    Unlimited inter-library loan, copies and loan

     

    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

     
    Export to reference management software   RIS file
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    Content information
    Volltext (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783319207025
    Other identifier:
    RVK Categories: ST 601 ; ST 250
    Edition: 1st ed. 2015
    Series: Quantitative Methods in the Humanities and Social Sciences
    Subjects: Statistics; Application software; Computational linguistics; Anthropology; Social sciences; Humanities; Linguistique; Mathematical statistics; Statistical methods; Informatique; Data processing; Progiciels; R (Computer program language); R (Langage de programmation); Sciences humaines; Sciences sociales; Méthodes statistiques; Statistique; Statistique mathématique
    Scope: 1 Online-Ressource (XIII, 211 Seiten), 50 Illustrationen (33 in Farbe)
    Notes:

    Set-upA 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.
  4. 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

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    Freie Universität Berlin, 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
  5. Humanities Data in R
    Exploring Networks, Geospatial Data, Images, and Text
    Author: Arnold, Taylor
    Published: 2015
    Publisher:  Springer, Cham

    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 This... more

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    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 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

     
    Export to reference management software   RIS file
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    Content information
    Volltext (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783319207025
    Other identifier:
    RVK Categories: ST 250 ; ST 601
    Edition: 1st ed. 2015
    Series: Quantitative Methods in the Humanities and Social Sciences
    Array
    Subjects: Mathematical statistics; Information systems; Application software; Statistics; Computational linguistics; Anthropology; Social sciences; Statistics; Application software; Computational linguistics; Anthropology; Social sciences; Humanities; Linguistique; Mathematical statistics; Statistical methods; Informatique; Data processing; Progiciels; R (Computer program language); R (Langage de programmation); Sciences humaines; Sciences sociales; Méthodes statistiques; Statistique; Statistique mathématique
    Scope: Online-Ressource (XIII, 211 p. 50 illus., 33 illus. in color, online resource)
    Notes:

    Set-upA 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.
  6. Humanities Data in R
    Exploring Networks, Geospatial Data, Images, and Text
    Published: 2015
    Publisher:  Springer, Cham

    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 This... more

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    Resolving-System (lizenzpflichtig)

    Location:
    Universität Potsdam, Universitätsbibliothek
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    Unlimited inter-library loan, copies and loan

     

    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 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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    Content information
    Volltext (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783319207025
    Other identifier:
    RVK Categories: ST 250 ; ST 601
    Edition: 1st ed. 2015
    Series: Quantitative Methods in the Humanities and Social Sciences
    Array
    Subjects: Mathematical statistics; Information systems; Application software; Statistics; Computational linguistics; Anthropology; Social sciences; Statistics; Application software; Computational linguistics; Anthropology; Social sciences; Humanities; Linguistique; Mathematical statistics; Statistical methods; Informatique; Data processing; Progiciels; R (Computer program language); R (Langage de programmation); Sciences humaines; Sciences sociales; Méthodes statistiques; Statistique; Statistique mathématique
    Scope: Online-Ressource (XIII, 211 p. 50 illus., 33 illus. in color, online resource)
    Notes:

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

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    Universitätsbibliothek Braunschweig
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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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