I had that objection to the first graph, but the second was colour coded labeled.
bc .. pleased
Oh! while I'm at it. I'll make a nasty comment: One of my favoured words is schadenfreude. That's my reaction to the red states, and, further, The Govs, et alii, are killing off their voters, great, except for the poor unfortunate, SSAA (South Sahara African Americans) victims.
bc ... tried modeling the Covid mortality early on using the logistic equation. And using Rho naught tried finding the proportion immunized to stop the pandemic.. Get Rho effective below one. ???? Another favoured: chartjunk. YLE doesn't.
Another vote for a color legend on the map, please. Also, more information about the source(s) of these data would be helpful. Were data from all states collected and compiled using consistent protocols to enable apples-to-apples comparison of states? I'm initially skeptical of the patterns shown in the first map. For example, Vermont (where I live) seems to be in the highest COVID death rate category (assuming my guess as to the rankings of the colors is correct). This would be surprising, as VT has had one of the lowest rates throughout the pandemic, and (as shown in the second map) VT has one of the highest rates of vaccination (as has been true since vaccines became available). We've had data for a long time now indicating that "The higher the state vaccination rate, the lower the state death rate." So there's something fishy about the death rate for VT in map #1, which makes me wonder about how reliable/comparable the data are from all states.
The map is deaths for the last 3 months, and since vaccines rolled out 6 ish weeks ago, take 2-3 weeks to work, and wane quickly, it’s too big a stretch for anyone to use this chart to correlate covid deaths with vaccine status.
It would be useful when showing graphs to identify what the colors in the graph refer to in order to interpret it.
Ahh you’re right. Those two graphs are missing some key information! making edits now
I had that objection to the first graph, but the second was colour coded labeled.
bc .. pleased
Oh! while I'm at it. I'll make a nasty comment: One of my favoured words is schadenfreude. That's my reaction to the red states, and, further, The Govs, et alii, are killing off their voters, great, except for the poor unfortunate, SSAA (South Sahara African Americans) victims.
bc ... tried modeling the Covid mortality early on using the logistic equation. And using Rho naught tried finding the proportion immunized to stop the pandemic.. Get Rho effective below one. ???? Another favoured: chartjunk. YLE doesn't.
http://www.cleyet.org
Exactly, the Provisional COVID Death Rate per 100,000 map needs a legend.
I agree. It drove me nuts not to see a legend telling us what the colors meant on the first map of the US.
Another vote for a color legend on the map, please. Also, more information about the source(s) of these data would be helpful. Were data from all states collected and compiled using consistent protocols to enable apples-to-apples comparison of states? I'm initially skeptical of the patterns shown in the first map. For example, Vermont (where I live) seems to be in the highest COVID death rate category (assuming my guess as to the rankings of the colors is correct). This would be surprising, as VT has had one of the lowest rates throughout the pandemic, and (as shown in the second map) VT has one of the highest rates of vaccination (as has been true since vaccines became available). We've had data for a long time now indicating that "The higher the state vaccination rate, the lower the state death rate." So there's something fishy about the death rate for VT in map #1, which makes me wonder about how reliable/comparable the data are from all states.
The map is deaths for the last 3 months, and since vaccines rolled out 6 ish weeks ago, take 2-3 weeks to work, and wane quickly, it’s too big a stretch for anyone to use this chart to correlate covid deaths with vaccine status.
Thank you! My husband is colorblind, charts without labels are particularly difficult and sometimes all together inaccessible.