Closed olbeck closed 1 year ago
We need to decide what variables about each organization to output in select_sample.
select_sample
It is currently outputting, EIN, form.year, name, total.employee, gross.receipts, total.assests, ceo.compensation, gender, zip5, rank, ntee, ype.org, univ, hosp", total.expense, state, location.type, log.expense.dist, geo.dist, mission.dist, total.dist.
This basically boils down to which attributes do we want the user to see before we predict their CEO salary range?
For example, do we want to include CEO compensation? Or gender of CEO?
ceo.salary and gender suppressed for in step 3
We need to decide what variables about each organization to output in
select_sample
.It is currently outputting, EIN, form.year, name, total.employee, gross.receipts, total.assests, ceo.compensation, gender, zip5, rank, ntee, ype.org, univ, hosp", total.expense, state, location.type, log.expense.dist, geo.dist, mission.dist, total.dist.
This basically boils down to which attributes do we want the user to see before we predict their CEO salary range?
For example, do we want to include CEO compensation? Or gender of CEO?