Graphing Data with R
An Introduction
Publisher: O'Reilly Media
Final Release Date: October 2015
Pages: 336

It’s much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You’ll learn methods for highlighting important relationships and trends, reducing data to simpler forms, and emphasizing key numbers at a glance.

Anyone who wants to analyze data will find something useful here—even if you don’t have a background in mathematics, statistics, or computer programming. If you want to examine data related to your work, this book is the ideal way to start.

  • Get started with R by learning basic commands
  • Build single variable graphs, such as dot and pie charts, box plots, and histograms
  • Explore the relationship between two quantitative variables with scatter plots, high-density plots, and other techniques
  • Use scatterplot matrices, 3D plots, clustering, heat maps, and other graphs to visualize relationships among three or more variables
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Excellent Intro to the Graphics Capabilities with R

By Brupie

from St. Paul, MN

About Me Business Analyst


  • Beautiful Examples
  • Concise
  • Focus On Core Functions
  • Helpful examples
  • Well-written


  • Obscure Graphics Types

Best Uses

  • Novice
  • Student

Comments about oreilly Graphing Data with R:

This is a great book for someone getting started with R who needs some help with data visualization. This is not a tutorial on statistics nor graphics but a walk-through of simple data to handsome visualizations. Part cookbook, part graphics grammar lesson with a little statistical wisdom thrown in.

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