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R Visualizations (Derive Meaning from Data) - 9781032243276

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9781032243276
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  • Product Details

    Author:
    David Gerbing
    Format:
    Paperback
    Pages:
    280
    Publisher:
    CRC Press (December 13, 2021)
    Language:
    English
    ISBN-13:
    9781032243276
    Weight:
    21.125oz
    Dimensions:
    8.25" x 11"
    File:
    TAYLORFRANCIS-TayFran_260114060327625-20260114.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $61.99
    Case Pack:
    15
    As low as:
    $58.89
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Country of Origin:
    United States
    Pub Discount:
    30
    Imprint:
    Chapman and Hall/CRC
  • Overview

    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.