Visualizing COVID-19 Data: Pitfalls and blindspots in representing hot data.
In this talk I will take you on a graphic tour of one of the most graphed data sets that has been curated by Johns Hopkins. As the pandemic spread, the graphics used to tell the story were continually refined to try to represent data without unintentional bias. We will look at the pitfalls of presenting data on maps, and the traps that assumptions about the data will lead to.
JMP Life Sciences Systems Engineer, SAS
I help people understand how to apply data science and statistics to learn more from their data to make better decisions in the life science and pharmaceutical industry.
Attendees can join the meeting starting 5:50pm ET. The presentation will start at 6pm ET.
Attendees receive 0.5 RU credit, and presenters receive 1 RU credit towards ASQ certification renewal.