Creating a visualization whose design serves its intended function—rather than the other way around—can be intoxicating, but don’t get so high on data that you lose sight of your audience. Find out how including too much information can neutralize your visualization—and your message with it.
As we’ve learned, choosing an appropriate level of detail lays the foundation for an effective visualization. But if you simply take your first design idea and run with it, you might be doing your data a disservice. Find out why redundant visualizations can turn detail into too much of a good thing
Data visualization techniques can give data scientists a vital tool for representing the data that analysts and line-of-business users need to make strategic decisions. Discover how a few simple considerations of a specific data set in a real-world use case enables data scientists to implement cost