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Graphing Data with R (Paperback)
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Graphing Data with R (Paperback)
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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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