Showing posts with label viz. Show all posts
Showing posts with label viz. Show all posts

Friday, August 24, 2018

Data Visualization Resources

Here are some resources that one of my students (Eitan Lees) shared during a graduate seminar on visualization.
  • The Data Visualisation Catalogue has an exhaustive catalog of different charts and graphical representations. It is a useful first place to browse when figuring out what kind of plot to use.
  • Lot of common "errors", and practical pointers on improving graphical presentation is available at this wonderful site.
  • A generally good idea is to remove to improve
  • Paletton is a site where you can play with colors and color schemes.