I have a data set of about ~75 administrative regions. Among many other variables are four specific demographic variables, and a number which represents per-person funding from a government grant.
I am trying to find a way to determine which regions are most similar in demography but which receive the most different funding levels.
I am leaning towards using sklearn.neighbor to find the most similar regions and just visually finding the least similar funding levels, but can I pass it an array of 75 items, with 4 values each?
Is there a better way of doing this?
Edit to include sample table: