hourly_peds: Pedestrian counts in Melbourne city
In earowang/sugrrants: Supporting Graphs for Analysing Time Series
hourly_peds R Documentation
Pedestrian counts in Melbourne city
Description
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:
Usage
hourly_peds
Format
A tibble with 78755 rows and 9 variables:
- Date_Time
Date time when the pedestrian counts are recorded
- Year
Year associated with Date_Time
- Month
Month associated with Date_Time
- Mdate
Day of month associated with Date_Time
- Day
Weekday associated with Date_Time
- Time
Hour associated with Date_Time
- Sensor_ID
Sensor identifiers
- Sensor_Name
Sensor names
- Hourly_Counts
Hourly pedestrian counts
Examples
hourly_peds
earowang/sugrrants documentation built on March 13, 2024, 2:25 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| hourly_peds | R Documentation |
Pedestrian counts in Melbourne city
Description
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:
Usage
hourly_peds
Format
A tibble with 78755 rows and 9 variables:
- Date_Time
Date time when the pedestrian counts are recorded
- Year
Year associated with Date_Time
- Month
Month associated with Date_Time
- Mdate
Day of month associated with Date_Time
- Day
Weekday associated with Date_Time
- Time
Hour associated with Date_Time
- Sensor_ID
Sensor identifiers
- Sensor_Name
Sensor names
- Hourly_Counts
Hourly pedestrian counts
Examples
hourly_peds
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.