DATA DATA SCIENCE
Graphing Data with R
ISBN: 978-1-491-92261-3
US $39.99 CAN $45.99
Twitter: @oreillymedia
facebook.com/oreilly
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
John Jay Hilfiger has an MS in
biostatistics, as well as master’s
and PhD degrees in music. His
unique career as data analyst,
music professor, and college
administrator has included
analyzing data in subjects from
music, medicine, agriculture,
business, education, and more.
www.it-ebooks.info
