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  1. Fundamentals of data visualization
    a primer on making informative and compelling figures
    Author: Wilke, Claus
    Published: March 2019
    Publisher:  O'Reilly, Beijing

    Location:
    Hertie School, Library and Information Services
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    Content information
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9781492031086
    RVK Categories: ST 274 ; ST 515 ; QH 240 ; AK 39540
    Edition: First edition
    Subjects: Information visualization; Visual analytics; Visualization; Data Visualization; Informationstechnik; Kommunikationstechnik; Software; Datenverarbeitung; Daten; Datenaufbereitung; Datenbank; Datenerfassung; Datenerhebung; Datenformat; Datensammlung; Statistische Datenbank; Beispiel; Ästhetik; Handbuch; Programmierung; Design
    Scope: xvi, 370 Seiten, Illustrationen, Diagramme, Karten, 24 cm
    Notes:

    Literaturverzeichnis: Seite 351-354, 357-359

    Hier auch später erschienene, unveränderte Nachdrucke

    Introduction : ugly, bad, and wrong figures -- Part 1. From data to visualization. Visualizing data : mapping data onto aesthetics -- Coordinate systems and axes -- Color scales -- Directory of visualizations -- Visualizing amounts -- Visualizing distributions : histograms and density plots -- Visualizing distributions : empirical cumulative distribution functions and Q-Q plots -- Visualizing many distributions at once -- Visualizing proportions -- Visualizing nested proportions -- Visualizing associations among two or more quantitative variables -- Visualizing time series and other functions of an independent variable -- Visualizing trends -- Visualizing geospatial data -- Visualizing uncertainty -- Part 2. Principles of figure design. The principle of proportional ink -- Handling overlapping points -- Common pitfalls of color use -- Redundant coding -- Multipanel figures -- Titles, captions, and tables -- Balance the data and the context -- Use larger axis labels -- Avoid line drawings -- Don't go 3D -- Part 3. Miscellaneous topics. Understanding the most commonly used image file formats -- Choosing the right visualization software -- Telling a story and making a point.
  2. Viral networks
    connecting digital humanities and medical history
    Contributor: Ewing, E. Thomas (HerausgeberIn); Randall, Katherine (HerausgeberIn)
    Published: 2018
    Publisher:  VT Publishing, Blacksburg, VA

    This volume of original essays explores the power of network thinking and analysis for humanities research. Contributing authors are all scholars whose research focuses on a medical history topic--from the Black Death in fourteenth-century Provence... more

    Location:
    Universitäts- und Landesbibliothek Sachsen-Anhalt / Zentrale
    Signature:
    NB 2264 100
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    This volume of original essays explores the power of network thinking and analysis for humanities research. Contributing authors are all scholars whose research focuses on a medical history topic--from the Black Death in fourteenth-century Provence to psychiatric hospitals in twentieth-century Alabama. The chapters take readers through a variety of situations in which scholars must determine if network analysis is right for their research; and, if the answer is yes, what the possibilities are for implementation. Along the way, readers will find practical tips on identifying an appropriate network to analyze, finding the best way to apply network analysis, and choosing the right tools for data visualization. All the chapters in this volume grew out of the 2018 Viral Networks workshop, hosted by the History of Medicine Division of the National Library of Medicine (NIH), funded by the Office of Digital Humanities of the National Endowment for the Humanities, and organized by Virginia Tech

     
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    Source: Union catalogues
    Contributor: Ewing, E. Thomas (HerausgeberIn); Randall, Katherine (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9781949373004; 9781949373066; 1949373061; 1949373002
    RVK Categories: NB 2264
    Subjects: Information visualization; Digital humanities; Medicine; System analysis; History of Medicine; Data Analysis; Data Visualization; Information Dissemination; Research Design; Digital humanities; Information visualization; Medicine; System analysis; History
    Scope: xv, 266 Seiten, Illustrationen, 22 cm
    Notes:

    "This volume is the product of the Viral Networks workshop, January 2018."--Title page verso

    Includes bibliographical references
  3. Digital humanities and film studies
    visualising Dziga Vertov's work
    Author: Heftberger, Adelheid
    Published: [2018]
    Publisher:  Springer, Cham

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783030028633; 3030028631; 9783030028640
    Other identifier:
    9783030028633
    DDC Categories: 791
    Series: Quantitative methods in the humanities and socialsciences
    Subjects: Vertov, Dziga; Film; Digital Humanities; Visualisierung; Datensammlung;
    Other subjects: Data Mining; Data Visualization; Digital Humanities; Dziga Vertov; Film; Formalist Film Theory; Information Design; Information Visualization; Russian formalist; HBJ
    Scope: XI, 311 Seiten, Illustrationen, Diagramme, 24 cm
    Notes:

    Literaturangaben
  4. Digital Humanities and Film Studies
    Visualising Dziga Vertov's Work
    Author: Heftberger, Adelheid
    Published: 2019
    Publisher:  Springer International Publishing, Cham ; Springer

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  5. Fundamentals of data visualization
    a primer on making informative and compelling figures
    Author: Wilke, Claus
    Published: March 2019
    Publisher:  O'Reilly, Beijing

    Location:
    Duale Hochschule Baden Württemberg Mosbach, Campus Bad Mergentheim Bibliothek
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    St 274 1
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    Fachinformationsverbund Internationale Beziehungen und Länderkunde
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    Hertie School, Library and Information Services
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    I.04.02_288
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    Bonn International Centre for Conflict Studies, Bibliothek
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    Hochschule für Technik und Wirtschaft Dresden, Bibliothek
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    ST 274-19 0486
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    Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden
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    Bibliothek für Wirtschaftswissenschaften
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    Niedersächsische Staats- und Universitätsbibliothek Göttingen
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    Niedersächsische Staats- und Universitätsbibliothek Göttingen
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    Universität Konstanz, Kommunikations-, Informations-, Medienzentrum (KIM)
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    Export to reference management software   RIS file
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    Content information
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9781492031086
    RVK Categories: ST 274 ; ST 515 ; QH 240 ; AK 39540
    Edition: First edition
    Subjects: Information visualization; Visual analytics; Visualization; Data Visualization; Informationstechnik; Kommunikationstechnik; Software; Datenverarbeitung; Daten; Datenaufbereitung; Datenbank; Datenerfassung; Datenerhebung; Datenformat; Datensammlung; Statistische Datenbank; Beispiel; Ästhetik; Handbuch; Programmierung; Design
    Scope: xvi, 370 Seiten, Illustrationen, Diagramme, Karten, 24 cm
    Notes:

    Literaturverzeichnis: Seite 351-354, 357-359

    Hier auch später erschienene, unveränderte Nachdrucke

    Introduction : ugly, bad, and wrong figures -- Part 1. From data to visualization. Visualizing data : mapping data onto aesthetics -- Coordinate systems and axes -- Color scales -- Directory of visualizations -- Visualizing amounts -- Visualizing distributions : histograms and density plots -- Visualizing distributions : empirical cumulative distribution functions and Q-Q plots -- Visualizing many distributions at once -- Visualizing proportions -- Visualizing nested proportions -- Visualizing associations among two or more quantitative variables -- Visualizing time series and other functions of an independent variable -- Visualizing trends -- Visualizing geospatial data -- Visualizing uncertainty -- Part 2. Principles of figure design. The principle of proportional ink -- Handling overlapping points -- Common pitfalls of color use -- Redundant coding -- Multipanel figures -- Titles, captions, and tables -- Balance the data and the context -- Use larger axis labels -- Avoid line drawings -- Don't go 3D -- Part 3. Miscellaneous topics. Understanding the most commonly used image file formats -- Choosing the right visualization software -- Telling a story and making a point.