pedestrian

A dataset containing the pedestrian counts at hourly intervals from 2016-01-01
to 2017-04-20 at 7 sensors in the city of Melbourne. The variables are as follows:

datasets

Provides 'ggplot2' graphics for analysing time series data. It aims
to fit into the 'tidyverse' and grammar of graphics framework for handling
temporal data.

Earo Wang

sugrrants

Supporting Graphs for Analysing Time Series

Di Cook

Rob Hyndman

pedestrian function

A tibble with 78755 rows and 9 variables:<dl class="dl-horizontal">
<dt>Date_Time</dt><dd>Date time when the pedestrian counts are recorded</dd>
<dt>Year</dt><dd>Year associated with Date_Time</dd>
<dt>Month</dt><dd>Month associated with Date_Time</dd>
<dt>Mdate</dt><dd>Day of month associated with Date_Time</dd>
<dt>Day</dt><dd>Weekday associated with Date_Time</dd>
<dt>Time</dt><dd>Hour associated with Date_Time</dd>
<dt>Sensor_ID</dt><dd>Sensor identifiers</dd>
<dt>Sensor_Name</dt><dd>Sensor names</dd>
<dt>Hourly_Counts</dt><dd>Hourly pedestrian counts</dd>
</dl>

Format

Pedestrian counts in Melbourne city — pedestrian

A tibble with 78755 rows and 9 variables:<dl class='dl-horizontal'>
<dt>Date_Time</dt><dd>Date time when the pedestrian counts are recorded</dd>
<dt>Year</dt><dd>Year associated with Date_Time</dd>
<dt>Month</dt><dd>Month associated with Date_Time</dd>
<dt>Mdate</dt><dd>Day of month associated with Date_Time</dd>
<dt>Day</dt><dd>Weekday associated with Date_Time</dd>
<dt>Time</dt><dd>Hour associated with Date_Time</dd>
<dt>Sensor_ID</dt><dd>Sensor identifiers</dd>
<dt>Sensor_Name</dt><dd>Sensor names</dd>
<dt>Hourly_Counts</dt><dd>Hourly pedestrian counts</dd>
</dl>

pedestrian: Pedestrian counts in Melbourne city

Description

Usage

Arguments

Format

Examples