Hey #OpenDataToronto fam! We're super excited to attend #GOOD23, the Global Open Data and Open Government Summit! Join us as we learn, connect, and collaborate with experts in the field. Let's shape the future of #OpenData together! May 4/5 😃🇨🇦 RSVP now: go-opendata.ca/#DataForAll
My first package on CRAN and everything went smoothly. Grateful for all the resources folks make available, especially R Packages by Hadley Wickham, `devtools` & `rhub`. We also relied extensively on the examples of `opendatatoronto` @sharlagelfand & `stacks` @simonpcouch.
Indeed, it shows the trend. Thanks @neuronJoy. This corroborates that the lowest income families are hit the mostly COVID19. Canada is not an exception to that rule.
Here you go! Household incomes are larger than I would expect, but show the expected trend. Thanks @sharlagelfand for pointing me to @OpenDataToronto !
Here's a visualization of the MMR coverage data in {opendatatoronto}.
Code: github.com/mattkumar/mmr
Shiny App: matt-kumar.shinyapps.io/mmr_…
I introduced this package to my organization yesterday during a Rounds presentation as a great resource for learning R - they loved it!
As a follow up, hats off to the amazing @sharlagelfand for putting together the opendatatoronto R package, which is a great resource for interesting Toronto-specific datasets: sharlagelfand.github.io/open…
MMR Coverage Rates in Toronto Elementary/Secondary Schools for 2018/19. Data provided by Open Data Toronto via @sharlagelfand's awesome package {opendatatoronto} #rstats#epitwitter