also many thanks to @hadleywickham + @rstudio for the free 6 months of https://t.co/RhBEEH1wNb hosting https://t.co/dwnv3UR0Ec

updated the U.S. COVID shiny web app to now allow filtering down to specific state data. see video below for example comparison of OH vs. PA vs. MI cases/deaths Link: https://t.co/46ZTY62jst Github: https://t.co/rwShTzjIGH #rstats #rshiny #dataviz #COVID19

Here are three animated data visualizations of the @OHdeptofhealth's COVID-19 dataset Thanks to @reinhurdler for the inspiration R-code here: https://t.co/Jfgs7b357Z #rstats #dataviz #gganimate #InThisTogetherOhio

updated app to now include option for daily vs. cumulative data. also added death counts. will try to update nightly. still takes ~5 secs to load (working on it). all code/data now on github App: https://t.co/46ZTY5KIAV Github: https://t.co/rwShTz27P9 #rstats #rshiny #Covid_19

Looks like there were a few corrections at the county level today #COVID19OhioReady

Disclaimer: I am not a web app developer so apologies in advance for any performance issues.

Updated U.S. COVID app for more mobile-friendly viewing Link: https://t.co/46ZTY5KIAV Many thanks to @divadnojnarg for the shinyMobile package. Also check out his awesome Coronavirus Tracker app ( https://t.co/yRqkXz3vFi) #rstats #dataviz #COVID19

Just deployed an interactive web app looking at U.S. COVID-19 data from @JHUSystems Link: https://t.co/46ZTY5KIAV Thanks @rstudio for super easy hosting! Now we'll see how long this 100 active hours of cloud server time lasts.... #rstats #dataviz #COVID19 #shiny

Made some changes: 1. New confirmed cases by state graph 2. Smoothed sizing of dots on maps R code: https://t.co/2ACOEzGWNS Will try to update figures daily on above link. Thanks to @thomasp85 + @drob for gganimate and @RotzetteP+@MattCowgill for inspiration #CoronaVirusUpdate

Data visualization of COVID-19 spread in the U.S. R code to generate the image: https://t.co/HIwYKDRmR1 #CoronaVirus #COVID19 #nCoV2019 #CoronaVirusUpdate #rstats #dataviz #gganimate @JHUSystems