Age groupings in demographics render the data useless
Hi
It's the COVID data... why group < 20, 20-44, 45-54, 55-64, >65? Yes, the 20-44 group is in the lead for cases, but since the group spans 20 years in comparison to 10 years with the rest, wouldn't you expect twice the cases just because of the larger population count? As it is, what conclusions should someone draw from the data as it is presented? Same issue with the Arizona map displaying number of cases by county. Of course Maricopa county has the most cases! It's the most populous! Maricopa county likely also has the highest count of booger pickers, people who don't use turn signals, and people who are left handed. You know the solution: state ALL data by a ratio, say cases per 100,000. I assume you are providing the data so the public can draw conclusions. It seems that continuing to present data as it is currently displayed is misleading at best.