Last updated: 2020-07-27
Checks: 2 0
Knit directory: uci_covid19_dashboard/
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| Rmd | 01f6052 | vnminin | 2020-07-27 | edits of About text |
| html | 01f6052 | vnminin | 2020-07-27 | edits of About text |
| html | 84ab7e1 | vnminin | 2020-07-27 | july 27 ca data update |
| html | bab42bc | vnminin | 2020-07-26 | triggering an update with latest data |
| Rmd | 32001f7 | igoldsteinh | 2020-07-24 | hopefully commented methods section |
| html | f08c6cc | Damon Bayer | 2020-07-24 | Watermark & Legend Fix |
| html | eb680ce | vnminin | 2020-07-24 | republishing to update plots |
| Rmd | f07587a | vnminin | 2020-07-23 | all plots start on the same date; moved subtitle to title |
| html | f07587a | vnminin | 2020-07-23 | all plots start on the same date; moved subtitle to title |
| html | 9aa359e | vnminin | 2020-07-23 | shortenting title for friendlier mobile version |
| html | c14824c | Damon Bayer | 2020-07-23 | Remove Home text |
| Rmd | 4d981d1 | vnminin | 2020-07-22 | started editing about |
| html | 4d981d1 | vnminin | 2020-07-22 | started editing about |
| html | b4fb3ae | Damon Bayer | 2020-07-21 | update 2020-07-21 |
| html | c95cee3 | Damon Bayer | 2020-07-20 | Hide Workflowr buttons |
| html | 5369804 | Damon Bayer | 2020-07-19 | Update 2020-07-19 |
| html | 65c7195 | Damon Bayer | 2020-07-16 | theme change |
| html | 66110a1 | Damon Bayer | 2020-07-14 | Initial Proof of Concept |
| Rmd | 6151dc8 | Damon Bayer | 2020-07-14 | Start workflowr project. |
This is an effort to provide timely and understandable COVID-19 data visualizations to the public in Orange County, California. The effort is coordinated by students and faculty at UC Irvine.
TBA
Our figures present 7 day moving averages. This means that, for cases on July 7th, for example, we report the average number of cases per million people during the period July 1st to July 7th. On July 8th, we report the average number of cases per million people during the period July 2nd to July 8th, etc. We use moving averages as opposed to raw data (such as the actual number of cases per million people on July 7th) because cases can increase or decrease dramatically on a particular day, making it difficult to see trends in the time series of interest. Moving averages help highlight these trends more clearly.
In order to calculate, for example, cases per million people, we take the number of cases reported in a county for a day, divide by the 2019 census population for that county and then multiply by 1 million. We do this because different counties have very different population sizes (Los Angeles County has approximately 10 million while Orange County has approximately 3 million) and we want to provide numbers which are comparable across counties.
The number of daily new cases depend not only on the number of infected individuals in the population, but also on the number of tests performed. It would be much better to plot positivity ratio (positive cases divided by the total number of tests) instead of cases. Unfortunately, the number of Covid-19 diagnostic tests performed in a day is not available at a county level from the California Open Data Portal at this time. LA and OC counties do have testing data available (LA COVID-19 data, OC COVID-19 Data), but we prefer to use one data source for now.