Let's flip the script on COVID-19 and build fantastic things!
91-DIVOC is home to many data-forward, high-quality, interactive, and informative visualizations made during the global pandemic
created by Prof. Wade Fagen-Ulmschneider. I hope you'll spend some time and nerd out on data with me! :)- wade
In the original release of 91-DIVOC #02: “COVID-19 Data for Locations of People You Love”, the number of new cases were represented by a percentage increase over the past week. As COVID-19 has continued, this one-week metric is less and less relevant and has been replaced with population-normalized statistics to allow a better perspective on COVID-19 in various locations:
Added a new line showing the number of cases /100k people in each location. For example:
Champaign, Illinois has “+59.61 new cases /100,000 people in the past week (+125)”
New York City that has “+25.3 new cases /100,000 people in the past week (+2109)”
August 7, 2020 – State-computed Values for the United States
Johns Hopkins University has always reported the “United States” as part of their list of countries and, in a second dataset, reported the 50 states and US territories as individual locations. The number of confirmed cases and deaths between the “United States” total and the sum of the 50 states’ data has always varied slightly, accounting for the cases is the US territories, cruise ships, repatriation flights, and more. Previous cases of large discrepancies between the data have always been paired with a spike in a single state data where a number of previously unreported cases were reported in a single day.
Recently, the difference between the sums (particularly in the number of deaths) has become significant without a known cause. To help dive deep into this difference, I’ve added a new “Data” value in the graphs of the US states:
Added “Data” value “US-Total, Computed*” to the two graphs of the US states. This data is computed based off the sum of the 50 individual states’ data instead of using the “United States” value.
You can compare the difference between the two values by choosing one and them using “+Add Additional Data”. You can add this to the “global” graph by choosing “+Add US State” (since the data is computed via the state-level data).
August 5, 2020 – YouTube Video
Over the past few months, one of the most common question I was asked was “how did you get started?” or “how was this created?”. Over the past week, I created a video that dives into how 91-DIVOC was created:
This is my first exploration of video, so I’d love your feedback! I believe it should give you some insight in how this visualization is created. :)