Prashanth R
Prashanth R
[what are the biggest cities in mexico] -- didn't recognize mexico and that caused returning weird SVs [what are the biggest cities in new england] -- picks out "england". but...
[countries in the world with the highest mortality rates] -> [show me the lowest] But [show me the lowest among the countries] works.
[fire risk across california] -- shows the fire events. our triggering of events is too blunt!  _Originally posted by @pradh in https://github.com/datacommonsorg/website/issues/2369#issuecomment-1478729200_
[countries with the most number of women per capita] 
When we return a chart with a variable that is opposite in meaning (but related in semantic terms), we can get the ranking wrong.  Not clear how to handle...
[which counties had the worst employment rate] -- should show the highest, not lowest
Example: [what are top health issues where native americans live] [where native americans live (in US)] is a sub-query that gives a list of places from which we should list...
For example, [most disease prone city in USA]. Takes a really long time (like 20s), and then shows only DCIDs: 
We have data from EIA at country-level and state-level (only for US). Example: http://shortn/_v23ESmzzUr