Description Usage Value Examples
Static summary of which systems provide demographic data
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A data.frame
detailing the kinds of demographic data provided
by the different systems
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | bike_demographic_data ()
# Examples of filtering data by demographic parameters:
## Not run:
data_dir <- tempdir ()
bike_write_test_data (data_dir = data_dir)
bikedb <- file.path (data_dir, 'testdb')
store_bikedata (data_dir = data_dir, bikedb = bikedb)
# create database indexes for quicker access:
index_bikedata_db (bikedb = bikedb)
sum (bike_tripmat (bikedb = bikedb, city = 'bo')) # 200 trips
sum (bike_tripmat (bikedb = bikedb, city = 'bo', birth_year = 1990)) # 9
sum (bike_tripmat (bikedb = bikedb, city = 'bo', gender = 'f')) # 22
sum (bike_tripmat (bikedb = bikedb, city = 'bo', gender = 2)) # 22
sum (bike_tripmat (bikedb = bikedb, city = 'bo', gender = 1)) # = m; 68
sum (bike_tripmat (bikedb = bikedb, city = 'bo', gender = 0)) # = n; 9
# Sum of gender-filtered trips is less than total because \code{gender = 0}
# extracts all registered users with unspecified genders, while without gender
# filtering extracts all trips for registered and non-registered users.
# The following generates an error because Washinton DC's DivvyBike system does
# not provide demographic data
sum (bike_tripmat (bikedb = bikedb, city = 'dc', birth_year = 1990))
bike_rm_test_data (data_dir = data_dir)
bike_rm_db (bikedb)
## End(Not run)
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