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Autor(en): 
  • David Gerbing
  • R Visualizations: Derive Meaning from Data 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2021  
    Genre:  EDV / Informatik 
    ISBN:  9781032243276 
    EAN-Code: 
    9781032243276 
    Verlag:  Taylor and Francis 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 280 mm / B 210 mm / D  
    Gewicht:  980 gr 
    Seiten:  280 
    Illustration:  Farb., s/w. Abb. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    R Visualizations: Derive Meaning from Data focuses on one of the two major topics of data analytics: data visualization, a.k.a., computer graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be shown how to use R to generate any of the basic visualizations with the R visualization systems. Further, this book introduces the author's lessR system, which always can accomplish a visualization with less coding than the use of other systems, sometimes dramatically so, and also provides accompanying statistical analyses.

    Key Features

    • Presents thorough coverage of the leading R visualization system, ggplot2.
    • Gives specific guidance on using base R graphics to attain visualizations of the same quality as those provided by ggplot2.
    • Shows how to create a wide range of data visualizations: distributions of categorical and continuous variables, many types of scatterplots including with a third variable, time series, and maps.

    • Inclusion of the various approaches to R graphics organized by topic instead of by system.
    • Presents the recent work on interactive visualization in R.

    David W. Gerbing received his PhD from Michigan State University in 1979 in quantitative analysis, and currently is a professor of quantitative analysis in the School of Business at Portland State University. He has published extensively in the social and behavioral sciences with a focus on quantitative methods. His lessR package has been in development since 2009.

      
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