Date_Time: Date time when the pedestrian counts are recorded
Date: Date associated with Date_Time
Time: Time of day
Count: Hourly counts
Arguments
year
An integer or a vector of integers. By default, it's the current
year.
sensor
Sensor names. By default, it pulls all the sensors. Use pull_sensor
to see the available sensors.
na.rm
Logical. FALSE is the default suggesting to include NA in
the dataset. TRUE removes the NAs.
app_token
Characters giving the application token. A limited number of
requests can be made without an app token (NULL), but they are subject
to much lower throttling limits than request that do include one. Sign up
for an app token here.
Details
It provides the API using Socrata,
where counts are uploaded on a monthly basis. The up-to-date data would be
till the previous month. The data is sourced from
Melbourne Open Data Portal.
Please refer to Melbourne Open Data Portal for more details about the dataset and
its policy.
if (FALSE) {
# Retrieve the year 2017melb_walk_fast(year = 2017)
# Retrieve the year 2017 for Southern Cross Stationmelb_walk_fast(year = 2017, sensor = "Southern Cross Station")
}