ped_data: Dataset with pedestrian counts
In pridiltal/stray: Anomaly Detection in High Dimensional and Temporal Data
ped_data R Documentation
Dataset with pedestrian counts
Description
A dataset with hourly pedestrian counts at 43 locations in the
city Melbourne, australia, from 1 December, 2018 to 1, January, 2019.
Usage
ped_data
Format
A data frame with 33024 rows and 5 variables:
- Sensor
Sensor location
- Date_Time
Time and date
- Date
Date
- Time
Time
- Count
Pedestrian count
pridiltal/stray documentation built on Nov. 24, 2023, 1:31 p.m.
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| ped_data | R Documentation |
Dataset with pedestrian counts
Description
A dataset with hourly pedestrian counts at 43 locations in the city Melbourne, australia, from 1 December, 2018 to 1, January, 2019.
Usage
ped_data
Format
A data frame with 33024 rows and 5 variables:
- Sensor
Sensor location
- Date_Time
Time and date
- Date
Date
- Time
Time
- Count
Pedestrian count
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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