ped: Hourly pedestrian counts in the city of Melbourne 2016
In earowang/wanderer4melb: Shiny App for Wandering Around the Downtown Melbourne 2016
Description
Usage
Format
Examples
Description
A dataset containing the pedestrian counts at hourly intervals over the year
of 2016 at 43 sensors in the city of Melbourne. The variables are as follows:
Usage
1
Format
A data frame with 361,087 rows and 13 variables:
- Date_Time
Date time in 2016
- Year
Year component of Date_Time
- Month
Month component of Date_Time
- Mdate
Day component of Date_Time
- Day
Weekday component of Date_Time
- Time
Hour component of Date_Time
- Sensor_ID
Sensor identifiers
- Sensor_Name
Sensor names
- Hourly_Counts
Pedestrian Counts at hourly intervals
- Date
Date component of Date_Time
- Latitude
Sensor latitude
- Longitude
Sensor longitude
- Holiday
Public holiday
Examples
1
earowang/wanderer4melb documentation built on Oct. 22, 2018, 1:10 p.m.
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Description Usage Format Examples
Description
A dataset containing the pedestrian counts at hourly intervals over the year of 2016 at 43 sensors in the city of Melbourne. The variables are as follows:
Usage
1 |
Format
A data frame with 361,087 rows and 13 variables:
- Date_Time
Date time in 2016
- Year
Year component of Date_Time
- Month
Month component of Date_Time
- Mdate
Day component of Date_Time
- Day
Weekday component of Date_Time
- Time
Hour component of Date_Time
- Sensor_ID
Sensor identifiers
- Sensor_Name
Sensor names
- Hourly_Counts
Pedestrian Counts at hourly intervals
- Date
Date component of Date_Time
- Latitude
Sensor latitude
- Longitude
Sensor longitude
- Holiday
Public holiday
Examples
1 |
earowang/wanderer4melb documentation built on Oct. 22, 2018, 1:10 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.
As an Amazon Associate I earn from qualifying purchases.
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