pedestrian {tsibble}

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

Examples

library(dplyr)
data(pedestrian)
# make implicit missingness to be explicit ----
pedestrian %>% fill_gaps()
# compute daily maximum counts across sensors ----
pedestrian %>%
  group_by_key() %>%
  index_by(Date) %>% # group by Date and use it as new index
  summarise(MaxC = max(Count))