Open danielbyler opened 7 years ago
Thanks @danielbyler, I'll see what we can do about getting rates in there. There are some other indicators that could benefit from that as well.
I've implemented the base logic for this, which can be seen here: http://sunbird.datausa.io/map/?level=state&key=income_below_poverty:pop_poverty_status,income_below_poverty,income_below_poverty_moe,pop_poverty_status,pop_poverty_status_moe
I'm going to keep this issue open for us to go back in and identify the other variables that need it.
Thanks!
https://datausa.io/map/?level=puma&key=num_ppl_pt,num_ppl_pt_moe has the same problem.
https://datausa.io/map/?level=county&key=premature_death - why would we include this if it isn't age adjusted?
https://datausa.io/map/?level=county&key=uninsured - needs better label
https://datausa.io/map/?level=county&key=teen_births - label is wrong. This is per 1,000 women 15-19 http://www.countyhealthrankings.org/measure/teen-births
https://datausa.io/map/?level=puma&key=avg_age_ft,avg_age_ft_moe - average full time age --- worker? I guess?
https://datausa.io/map/?level=county&key=grads_total -- same color issue where only LA and the University of Phoenix produce graduates
This one might be fixable https://datausa.io/map/?level=county&key=hiv_prevalence_rate - there are a lot of blue but it may really be that skewed
I've updated (and will continue to update) the initial post in this thread with a list of variables we need to add rates for.
@danielbyler I've also pushed more explicit labels for your other links here. Please keep this thread self-contained to only variables that need rates, and create new issues for individual labelling problems.
I made two issues spinning out of this. I'll keep this self contained. Thanks
Based on this map, there is only poverty in LA. Could we make this a rate so it's more meaningful?