Seoul Bike Sharing Demand
Donated on 2/29/2020
The dataset contains count of public bicycles rented per hour in the Seoul Bike Sharing System, with corresponding weather data and holiday information
Dataset Characteristics
Multivariate
Subject Area
Business
Associated Tasks
Regression
Feature Type
Integer, Real
# Instances
8760
# Features
13
Dataset Information
Additional Information
Currently Rental bikes are introduced in many urban cities for the enhancement of mobility comfort. It is important to make the rental bike available and accessible to the public at the right time as it lessens the waiting time. Eventually, providing the city with a stable supply of rental bikes becomes a major concern. The crucial part is the prediction of bike count required at each hour for the stable supply of rental bikes. The dataset contains weather information (Temperature, Humidity, Windspeed, Visibility, Dewpoint, Solar radiation, Snowfall, Rainfall), the number of bikes rented per hour and date information.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| Date | Feature | Date | no | ||
| Rented Bike Count | Feature | Integer | no | ||
| Hour | Feature | Integer | no | ||
| Temperature | Feature | Continuous | C | no | |
| Humidity | Feature | Integer | % | no | |
| Wind speed | Feature | Continuous | m/s | no | |
| Visibility | Feature | Integer | 10m | no | |
| Dew point temperature | Feature | Continuous | C | no | |
| Solar Radiation | Feature | Continuous | Mj/m2 | no | |
| Rainfall | Feature | Integer | mm | no |
0 to 10 of 14
Additional Variable Information
Date : year-month-day Rented Bike count - Count of bikes rented at each hour Hour - Hour of he day Temperature-Temperature in Celsius Humidity - % Windspeed - m/s Visibility - 10m Dew point temperature - Celsius Solar radiation - MJ/m2 Rainfall - mm Snowfall - cm Seasons - Winter, Spring, Summer, Autumn Holiday - Holiday/No holiday Functional Day - NoFunc(Non Functional Hours), Fun(Functional hours)
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset seoul_bike_sharing_demand = fetch_ucirepo(id=560) # data (as pandas dataframes) X = seoul_bike_sharing_demand.data.features y = seoul_bike_sharing_demand.data.targets # metadata print(seoul_bike_sharing_demand.metadata) # variable information print(seoul_bike_sharing_demand.variables)
Seoul Bike Sharing Demand. (2020). UCI Machine Learning Repository. https://doi.org/10.24432/C5F62R.
@misc{misc_seoul_bike_sharing_demand_560,
title = {{Seoul Bike Sharing Demand}},
year = {2020},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5F62R}
}DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.