The best visualization in the world may fail if it doesn't contain relevant data for the audience. In this video, learn how to ensure you are sharing the right data before you go too far down the road creating a data visualization.
- [Instructor] Okay, time for 10 easy lessons … for data visualization for data analysts. … This is a course for data analysts. … So it may seem a little crazy to have a chapter … about using the right data as though you don't know … the right data to use to tell your story, … but here's the thing. … From my experience, often my clients … who are closest to the data, do struggle with this idea. … The struggle comes in two primary forms. … You've heard the phrase, if your only tool is a hammer, … everything looks like a nail. … Data people often get stuck thinking about their data … as a tool in their toolbox. … So the first thing they ask themselves is, … what chart can I show, … when they should be asking themselves, … what story can I tell? … When I do workshops with clients, … this comes up again and again. … I'll assign a task and teams immediately look at their data … and start working on charts. … They get busy working, and forget to stop and think. … Now, it's sort of good in a way …
- 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.