R Visualizations
eBook - ePub

R Visualizations

Derive Meaning from Data

  1. 237 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

R Visualizations

Derive Meaning from Data

About this book

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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Yes, you can access R Visualizations by David Gerbing in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Graphics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. 1. Visualize Data
  8. 2. Visualization Quick Start
  9. 3. Visualize a Categorical Variable
  10. 4. Visualize a Continuous Variable
  11. 5. Visualize the Relation of Two Continuous Variables
  12. 6. Visualize Multiple Categorical Variables
  13. 7. Visualize over Time
  14. 8. Visualize Maps and Networks
  15. 9. Interactive Visualizations
  16. 10. Customize Visualizations
  17. References
  18. Index