Możesz dodawać lokalizację do Twoich Tweetów, jak miasto czy konkretne miejsce, z sieci lub innych aplikacji. W każdej chwili możesz usunąć historię lokalizacji swoich Tweetów. Dowiedz się więcej
.@nycgov released COVID death rates by zip code today, which gave me the opportunity to see if there was a correlation between population density and COVID deaths (as many have implied). Turns out there's actually a NEGATIVE correlation (denser ZIPs in NYC saw LOWER death rates).pic.twitter.com/1zCImYfyFG
Follow-up, combined the COVID Death Rates by ZIP with Median Household income, and well... I think you can all figure this one out.pic.twitter.com/II9JhIYrGR
What's the $250K ZIP code with average numbers? An artifact of a ZIP code with like 3 residents?
ZIp code 10007 Tribeca. Average income likely much higher than that: https://www.businessinsider.com/tribeca-new-york-city-richest-neighborhood-photos-tour-2019-6 … Also you can identify the zip codes corresponding to the observations here:https://www.nytimes.com/interactive/2020/nyregion/new-york-city-coronavirus-cases.html …
What's the $250,000 zip?
Maybe do one with the average commute as measured in subway stops or minutes?
Great metric. Point is that we keep talking about denser cities to curb climate change, which means more access to public transport. But if public transport is a vector for contagion then maybe dispersement is the right policy response, so that more can bike or walk to work.
Could the first chart just be a weaker signal effect of the second?
Zip codes with a median household income >200k are rare, but not unheard of 5th Avenue has been the home of the wealthy since the days of the Vanderbiltspic.twitter.com/kNzOryF8kB
That's a dangerous thing to end on, because most people can't figure this one out. It's super easy to forget (or never have realized) that in graphs like this one, there is an underlying population density bias: *far* more people per zip code the lower the median income is.
That is not really the case in NYC. There is almost no correlation between median household income and population density of NYC zip codes.pic.twitter.com/VrKYUGNKnG
Is there any control for age in here? Seems like a zip with lots of retirement homes is going to have a low household income and high mortality rate.
There's not a very strong correlation (R=0.0517) between average age of a zip code and COVID death rate. There's a substantially strong correlation between median household income of a zip code and COVID death rate (R=-0.5447).pic.twitter.com/lWXLBykEaR
Twitter jest przeciążony lub wystąpił chwilowy problem. Spróbuj ponownie lub sprawdź status Twittera, aby uzyskać więcej informacji.
