COVID-19 has transformed the world in the last 12 months. Communicating data has been a central part of the pandemic. On the Tableau Blog, Andy Cotgreave reflects on what he thinks are some of the most important lessons we can take from this period. There have been multiple moments where data was the center of the story.
Andy has chosen eight examples from the last year that each reveal one key lesson anyone trying to foster a better data culture should adopt. These eight ideas are summarized below but, if you'd like to take a closer look, read the full article over on the Tableau Blog:
1. Don’t wait for perfect data to start your analysis
2. Take insights to the audience and iterate design
3. Know that data can change behavior
4. Consider proxy data because complex metrics need slow introductions
5. Make data personal and transparent
6. Data-informed conversation requires data literacy skills
7. Don’t try reducing complex data to a single KPI
8. Don’t be afraid to seek out data
Speaking of COVID-19 charts, take a look at this recent Vaccinating the United States Viz of the Day selection—a collaboration between the Tableau Foundation, Urban Institute, and HealthDataViz—to see vaccination progress in the United States.
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Editor’s Note: This article was originally posted on the Tableau Blog and includes excerpts from a three-part series by Andy Cotgreave: Part 1 an examination of a year’s worth of COVID-19 charts; Part 2 looking at charts as the pandemic accelerated its impact; and Part 3 rounding out key charts and lessons learned about data communication.