R: Pedestrian counts in the city of Melbourne

pedestrian {tsibble} | R Documentation

## 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

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

[Package tsibble version 0.7.0 Index]