Michael Mitchell's A Visual Guide to Stata Graphics, Fourth Edition
provides an essential introduction and reference for Stata
graphics. The fourth edition retains the features that made the
first three editions so useful: A complete guide to Stata's graph
command Exhaustive examples of customized graphs Visual indexing of
features-just look for a picture that matches what you want to do
This edition includes new discussions of color, Unicode characters,
export formats, sizing of graph elements, and schemes. The section
on colors has been greatly expanded to include over 50 examples
that demonstrate how to modify colors, add transparency, and change
intensity. In the discussion of text modifications, Mitchell now
shows how to include Unicode characters such as Greek letters,
symbols, and emojis. New examples have also been added that show
how to change the size of graph elements such as text, markers, and
line widths using both absolute units (points, inches, and
centimeters) as well as relative units (line large or *2 for two
times the original size). Finally, the look of graphs throughout
the book has changed-most graphs are now created using a common
updated scheme. The book's visual style makes it easy to find
exactly what you need. A color-coded, visual table of contents runs
along the edge of every page and shows readers exactly where they
are in the book. You can see the color-coded chapter tabs without
opening the book, providing quick visual access to each chapter.
The heart of each chapter is a series of entries that are typically
formatted three to a page. Each entry shows a graph command (with
the emphasized portion of the command highlighted in red), the
resulting graph, a description of what is being done, and the
dataset used. Because every feature, option, and edit is
demonstrated with a graph, you can often flip through a section of
the book to find exactly the effect you are seeking. The book
begins with an introduction to Stata graphs that includes an
overview of graphs types, schemes, and options and the process of
building a graph. Then, it turns to detailed discussions of many
graph types-scatterplots, regression fit plots, line plots, contour
plots, bar graphs, box plots, and many others. Mitchell shows how
to create each type of graph and how to use options to control the
look of the graph. Because Stata's graph command will let you
customize any aspect of the graph, Mitchell spends ample time
showing you the most valuable options for obtaining the look you
want. If you are in a hurry to discover one special option, you can
skim the chapter until you see the effect you want and then glance
at the command to see what is highlighted in red. After focusing on
specific types of graphs, Mitchell undertakes an in-depth
presentation of the options available across almost all graph
types. This includes options that add and change the look of
titles, notes, and such; control the number of ticks on axes;
control the content and appearance of the numbers and labels on
axes; control legends; add and change the look of annotations;
graph over subgroups; change the look of markers and their labels;
size graphs and their elements; and more. To complete the graphical
journey, Mitchell discusses and demonstrates the 12 styles that
unite and control the appearance of the myriad graph objects. These
styles are angles, colors, clock positions, compass directions,
connecting points, line patterns, line widths, margins, marker
sizes, orientations, marker symbols, and text sizes. You won't want
to overlook the appendix in this book. There Mitchell first gives a
quick overview of the dozens of statistical graph commands that are
not strictly the subject of the book. Even so, these commands use
the graph command as an engine to draw their graphs; therefore,
almost all that Mitchell has discussed applies to them. He also
addresses combining graphs-showing you how to create complex and
multipart images from previously created graphs. In a crucial
section titled "Putting it all together", Mitchell shows us how to
do just that. We learn more about overlaying twoway plots, and we
learn how to combine data management and graphics to create plots
such as bar charts of rates with capped confidence intervals.
Mitchell concludes by warning us about mistakes that can be made
when typing graph commands and how to correct them. The fourth
edition of A Visual Guide to Stata Graphics is a complete guide to
Stata's graph command and the associated Graph Editor. Whether you
want to tame the Stata graph command, quickly find out how to
produce a graphical effect, or learn approaches that can be used to
construct custom graphs, this is the book to read.
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