hourly_peds: Pedestrian counts in Melbourne city
In sugrrants: Supporting Graphs for Analysing Time Series
Description
Usage
Format
Examples
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
1
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
1
sugrrants documentation built on Jan. 13, 2021, 5:06 a.m.
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Description Usage Format Examples
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
1 |
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
1 |
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.
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