| pedestrian {naniar} | R Documentation |
Pedestrian count information around Melbourne for 2016
Description
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
Source
Examples
# explore the missingness with vis_miss
vis_miss(pedestrian)
# Look at the missingness in the variables
miss_var_summary(pedestrian)
## Not run:
# 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)
## End(Not run)