corrects r.customer_id to r.reservation_id
corrects r.customer_id to r.reservation_id in rates.sql
changes utils.read_sql from accepting a filename to accepting a query string
adds code to match valet states to valet locations
adds more sql
adds a foray into osm mapmatching
cleans up extra files
gets map matching working.
adds init file to viterbi so it is accessible from above
replaces valet locations with valet match locations
no idea what changed
initial commit
Move MySQL join against valet_location_log to pandas.merge().
Calculate valet pay and bonuses using a computer rather than manually.
Use stats to determine if the customer and valet wait time reductions are significant with smaller customer IB HM radius.
Create a minutely summary of how many valets in each state are in what location.
Replace 100 to 90 as the cutoff between inbound and outbound states.
initial commit
finished report.
remove deleted file