By Asha Hill — Customer Success Analyst at Mode
If you’ve visited the CRAN repository of R packages lately, you might have noticed that the number of available packages has now topped a dizzying 12,550. This means there are packages for practically any data visualization task you can imagine, from visualizing cancer genomes to graphing the action of a book.
For new R coders, or anyone looking to hone their R data viz chops, CRAN’s repository may seem like an embarrassment of riches—there are so many data viz packages out there, it’s hard to know where to start.
To provide one path through the labyrinth, today we’re giving an overview of 9 useful interdisciplinary R data visualization packages. We’ve noted the ones you can take for a spin without the hassle of running R locally, using Mode R Notebooks.