Mapping geographic data in R can be tricky, because there are so many ways to complete separate tasks. It’s a jumble of options and you have to figure out how to put the pieces together. This course walks you through the steps so that the process isn’t so jumbley. FlowingData members can access the course right now. Learn how to load geographic data, draw boundaries, map locations, and make data-driven...
A detailed guide for R users who want to polish their charts in the popular graphic design app for readability and aesthetics. Read More
In the the last part of the four-part series, you make a longer animation with more data and annotate. Read More
How to make a more readable and more visually accurate map, before you dive into the big transitions. Read More
I’ve just returned from a week in China, teaching data journalism to students from all over the country at Fudan University (sponsored by the U.S. China Education Trust). Helped by a fabulous co-instructor, Yan Lu, we taught them about acquiring data, data wrangling, storytelling, visualization, SQL, mapping, news apps and more. The students, working journalists and professors, were quite impressive. Working in groups, they created several data-driven projects of their...
Rarely do you have evenly-spaced data across an entire geographic space. Here is a way to fill in the gaps. Read More