Graphics Programs Reference
In-Depth Information
After you learn what your data is about, explain those details in your data
graphic. Highlight the interesting parts so that your readers know where
to look. A plain graph can be cool for you, but without context, the graph is
boring for everyone else.
You used R with Illustrator to accomplish this. R built the base, and you
used Illustrator to design graphics that pointed out what was important in
the data. The covered chart types are of course only a subset of what you
can do with temporal data. You open a whole new bag of tricks when you
bring animation and interaction to the party, which you see in the next
chapter. While you move on to a new data type—proportions—you can
apply the same programming process and design principles that you
used in this chapter, even if you code in a different language.
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