We will dissect the elements that make data graphics spectacular, ranging from choosing effective visual metaphors to picturing uncertainty and the subtle art of color-encoding. We will critique and we will make. Our emphasis will be on the hard human decisions necessary to create effective data graphics. (This class’s perspective is technology-agnostic.)
The class will be taught over four three-hour sessions. Each session will focus on a specific aspect of information design:
1-Visual metaphors
2-Comparisons
3-Process
4-Value creation
By the end of the class we will have studied bar charts, line graphs, thematic maps, color engineering, table design, and lots more.
You should arrive able to:
* Sketch simple geometries with paper and pencil
* Make a bar chart and line graph in a web tool like Google Sheets or Datawrapper
* Composite graphics and text in a design tool like Illustrator or Figma
* Spend a couple extra hours each week developing your own charts
Each session will be anchored by a masterpiece of information design. We will discuss not just the aspects that make each piece effective, but also the craft and context of its creation, gaining insights into how great information design actually happens.
Additionally, sessions will include data-sketching warm-ups, presentation of information-design theory, and review of take-home exercises. We will learn through mutual reflection and constructive critique of one another’s work. The engaged student will emerge from the class with more capabilities and enthusiasm for data graphics.
Learning Outcomes
- Choose an appropriate visual metaphor for a chart
- Convey insights by creating engaging comparisons
- Appreciate the design process necessary to inform
Required Materials
- paper
- pencil
- laptop