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 ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable ...

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.” ...

In this podcast, the speaker will explain about the R graphics Cookbook, the users’ will learn the basics of how to create data graphics using R and the popular ggplot2 package. Visualization is ...

Written text is often full of awkward ... understand representation of information is often all that’s needed. Data visualization – the representation of data and information through charts ...

The conference focused on text-based data storage, analysis, and visualization — awesomely nerdy stuff, in other words. I’ve mentioned OpenCalais in the context of DocumentCloud, but there’s much more ...

Consider using data streaming techniques for real-time data visualization. Create histograms, scatter plots, and line graphs using Matplotlib or ggplot2, illustrating the distribution and ...