Extract date-time limits from trip database
bike_datelimits(bikedb, city)
| bikedb | A string containing the path to the SQLite3 database.
If no directory specified, it is presumed to be in |
|---|---|
| city | If given, date limits are calculated only for trips in that city. |
A vector of 2 elements giving the date-time of the first and last trips
data_dir <- tempdir () bike_write_test_data (data_dir = data_dir) # dl_bikedata (city = 'la', data_dir = '.') # or download some real data! bikedb <- file.path (data_dir, 'testdb') store_bikedata (data_dir = data_dir, bikedb = bikedb)#>#>#>#> reading file 1/1: /tmp/Rtmp0qGggG/201612-citibike-tripdata.csv#>#>#>#> reading file 1/1: /tmp/Rtmp0qGggG/201604-hubway-tripdata.csv#>#>#>#> reading file 1/1: /tmp/Rtmp0qGggG/Divvy_Trips_sample.csv#>#>#>#> reading file 1/1: /tmp/Rtmp0qGggG/2017-Q1-Trips-History-Data.csv#>#>#>#> reading file 1/1: /tmp/Rtmp0qGggG/la_metro_gbfs_trips_Q1_2017.csv#>#>#> reading file 1/1: /tmp/Rtmp0qGggG/01aJourneyDataExtract10Jan16-23Jan16.csv#>#>#>#> [1] 1198bike_datelimits ('testdb') # overall limits for all cities#> first last #> "2016-01-10 00:00:00" "2017-03-31 23:59:00"bike_datelimits ('testdb', city = 'NYC')#> first last #> "2016-12-01 00:00:04" "2016-12-01 01:33:37"bike_datelimits ('testdb', city = 'los angeles')#> first last #> "2017-01-01 00:15:00" "2017-01-01 16:55:00"#> [1] 6bike_rm_db (bikedb)#> [1] TRUE# don't forget to remove real data! # file.remove (list.files ('.', pattern = '.zip'))