A dataset containing hourly aggregated bike sharing trips between BIXI stations in Montréal during the week of July 1 to July 7, 2019.
Format
A data frame with 6,092 rows and 4 variables:
- time
Hourly timestamp (POSIXct, UTC)
- origin
Origin station ID (factor, matching
bixi_locations$id)- dest
Destination station ID (factor, matching
bixi_locations$id)- count
Aggregated number of bike sharing trips in that hour (integer)
Source
BIXI Montréal Open Data (https://bixi.com/fr/donnees-ouvertes). Prepared for https://github.com/FlowmapBlue/FlowmapBlue by Ilya Boyandin (https://github.com/ilyabo). Data © BIXI Montréal, released under the BIXI Montréal Open Data license (https://bixi.com/fr/donnees-ouvertes). Original interactive visualization on Flowmap.blue: https://www.flowmap.blue/1qTVOzkPB7U1ySI4g4uPtVBzzEDCI8n1WXAmQeZL15fE
Details
To minimize the package footprint, the dataset has been truncated to a
minimum of three trips (retaining only flows where count > 2),
which reduces the rows from 213,227 to 6,092, and compresses the final size
to just ~22 KB.
Examples
# Check first few records
print(head(bixi_flows))
#> time origin dest count
#> 1 2019-07-01 15:00:00 6501 6501 22
#> 2 2019-07-06 13:00:00 6501 6501 18
#> 3 2019-07-05 16:00:00 6501 6501 18
#> 4 2019-07-03 12:00:00 6501 6501 17
#> 5 2019-07-01 12:00:00 6501 6501 15
#> 6 2019-07-07 15:00:00 6501 6501 15