pedestrian: Pedestrian count information around Melbourne for 2016

In naniar: Data Structures, Summaries, and Visualisations for Missing Data

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

https://data.melbourne.vic.gov.au/explore/dataset/pedestrian-counting-system-monthly-counts-per-hour/information/

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)

naniar documentation built on May 29, 2024, 1:43 a.m.