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For everything from styling text and customizing color palettes to creating your own geoms, these ggplot2 add-ons deserve a place in your R data visualization toolkit. Plus, a bonus list of packages ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Creating informative and digestible data visualizations is a foundational aspect ...

Hands-on learning, learning by doing, learning through experience—no matter what you call it, the premise is the same. Most people learn faster and better when they’re actively involved in the process ...

Create R data visualizations easily with a few lines of simple code using the ggcharts R package. Plus, the resulting charts and graphs are customizable ggplot objects. ggplot2 is an enormously ...

My recent commit (320cf27) failed on v3.3.0-rc branch, but the failure doesn't seem related to the change. This is probably due to the recent update of farver on CRAN. I guess the fix would be very ...

Although R is great for quickly turning data into plots, it is not widely used for making publication ready figures. But, with enough tinkering you can make almost any plot in R. For examples check ...

The two most powerful words to come out of a CEO’s mouth can also be the most humbling: “I’m sorry.” When done well, corporate apologies can fix a PR disaster and turn around ill will towards a ...

One of the most appealing things about R is its ability to create data visualizations with just a couple of lines of code. [This story is part of Computerworld’s “Beginner’s guide to R.” You’ll find ...