This dataset contains hourly counts of pedestrians from 4 sensors around Melbourne: Birrarung Marr, Bourke Street Mall, Flagstaff station, and Spencer St-Collins St (south), recorded from January 1st 2016 at 00:00:00 to December 31st 2016 at 23:00:00. The data is made free and publicly available from https://data.melbourne.vic.gov.au/explore/dataset/pedestrian-counting-system-monthly-counts-per-hour/information/
Usage
data(pedestrian)Format
A tibble with 37,700 rows and 9 variables:
- hourly_counts
(integer) the number of pedestrians counted at that sensor at that time
- date_time
(POSIXct, POSIXt) The time that the count was taken
- year
(integer) Year of record
- month
(factor) Month of record as an ordered factor (1 = January, 12 = December)
- month_day
(integer) Full day of the month
- week_day
(factor) Full day of the week as an ordered factor (1 = Sunday, 7 = Saturday)
- hour
(integer) The hour of the day in 24 hour format
- sensor_id
(integer) the id of the sensor
- sensor_name
(character) the full name of the sensor
Examples
# explore the missingness with vis_miss
vis_miss(pedestrian)
# Look at the missingness in the variables
miss_var_summary(pedestrian)
#> # A tibble: 9 × 3
#> variable n_miss pct_miss
#> <chr> <int> <num>
#> 1 hourly_counts 2548 6.76
#> 2 date_time 0 0
#> 3 year 0 0
#> 4 month 0 0
#> 5 month_day 0 0
#> 6 week_day 0 0
#> 7 hour 0 0
#> 8 sensor_id 0 0
#> 9 sensor_name 0 0
if (FALSE) {
# There is only missingness in hourly_counts
# Look at the missingness over a rolling window
library(ggplot2)
gg_miss_span(pedestrian, hourly_counts, span_every = 3000)
}