Axes, labels, and legends bring meaning to your visualizations, but they shouldn't be the focus of them. In this video, learn a few simple tips for making all of the above in a way that enables your readers without drawing attention away from your data and message.
- [Instructor] Every show has a star, … and the star in your data visualizations are the data, … not the supporting characters. … But every show relies on its supporting characters … and so too are they critical to a successful visualization … of your data. … When I'm teaching beginners to data visualization … about axes and labels and legends, … I focus on reminding them to include them. … I talk about how important it is to channel the novice … to provide enough information to guide the audience … to what's important in the data. … I often reference the Zen Buddhist practice … of finding your beginner's mind. … Remember what it was like to not know anything, … so you know what guideposts to provide your audience … to help them navigate the data. … But when speaking to data analysts, … the opposite is usually the concern. … They fall in love with their data. … They feel that every bit of data is incredibly important. … Nothing can be left out, or it'll feel dishonest … at worst or incomplete at best. …
- 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.