As you have seen, a dashboard is only as good as the data and metrics underlying it. After watching this video, you'll be able to better consider how cases are being reported.
- [Woman] As we explore the COVID-19 dashboards. … We've seen that working with large … and complex dataset require us … to be more meticulous than ever. … To make sure we don't miss a note or remark or an asterisk … that can lead us to misinterpreting information … that has been shown to us, … whether it be in visualization, a metric or report. … We also need to do our due diligence … and look for inconsistencies, gaps, ask questions … and make sure that we understand the methodology … that was used to be able to process the data. … The need to be thorough in our investigation … of data was evidenced in the COVID-19 dashboard … at John Hopkins University. … When looking at the data sources, … we could see that some of the sources … that have previously been cited, … were no longer being relied upon, … but once we remove those from the list, … the remaining sources also listed John Hopkins … as their source. … Again, this ambiguity and lack of information … about the way the data is being processed …
This course was created by Madecraft. We are pleased to host this content in our library.
- What is a dashboard?
- Identifying the underlying data
- Interpreting key metrics
- Navigating the John Hopkins COVID-19 dashboard
- Evaluating the IHME dashboard
- Assessing the risks and limitations of using the dashboard