I'm delivering a quick-fire Webinar this Wednesday on how to make impactful data graphics for communication and persuasion. Registration is free, at this link.
In the meantime, I'm preparing a guest lecture for the Data Visualization class at Yeshiva University Sims School of Management. The goal of the lecture is to emphasize the importance of incorporating analytics into the data visualization process.
Here is the lesson plan:
- Introduce the Trifecta checkup (link) which is the general framework for effective data visualizations
- Provide examples of Type D data visualizations, i.e. graphics that have good production values but fail due to issues with the data or the analysis
- Hands-on demo of an end-to-end data visualization process
- Lessons from the demo including the iterative nature of analytics and visualization; and sketching
- Overview of basic statistics concepts useful to visual designers