There are probably hundreds of tools for creating data visualization. This video points to some resources for finding tools while briefly mentioning some key players in the space as of right now.
- [Instructor] You're a data analyst. … You have your tools. … You're probably working in SPSS or Stata or R or whatever. … You're working in tools that are built for your data, right? … But you may or may not be working in tools built … to make beautiful and simple graphic displays of that data. … In this movie, I'm going to talk briefly about tools … and how to use them and think about them, … as well as to try to introduce you to some tools … and functionality that you may or may not be aware of. … First, let's talk about the standbys … that you're likely using. … Whether you're in Excel, Stata, SPSS, or another tool, … you can and probably already do … generate your own charts and graphs. … This is what you do all day long, right? … Okay, but here's the thing, … many of those tools, by default, … don't follow the rules I'm laying out … for how to design effective charts and graphs. … The default colors tend to be overwhelming, … the axes are overemphasized, … et cetera, et cetera, et cetera. …
- Describe the importance of audience and story in designing visual presentations.
- Identify Gestalt principles for visual processing.
- Compare and contrast headline styles.
- List general rules for the use of different chart types, colors, axes, and other formatting details.
- Understand the importance of and scientific basis for guiding principles in presentation design.