tsibble (version 0.1.0)

pedestrian: Pedestrian counts in the city of Melbourne

Description

A dataset containing the hourly pedestrian counts from 2015-01-01 to 2016-12-31 at 4 sensors in the city of Melbourne.

Usage

pedestrian

Format

A tsibble with 66,071 rows and 5 variables:

• Sensor: Sensor names (key)

• Date_Time: Date time when the pedestrian counts are recorded (index)

• Date: Date when the pedestrian counts are recorded

• Time: Hour associated with Date_Time

• Counts: Hourly pedestrian counts

References

Melbourne Open Data Portal

Examples

# NOT RUN {
data(pedestrian)
# make implicit missingness to be explicit
pedestrian %>% fill_na()
# compute daily maximum counts across sensors
pedestrian %>% 
  group_by(Sensor) %>% 
  tsummarise(
    Date1 = lubridate::as_date(Date_Time),
    MaxC = max(Count)
  )
# }