bikes: Seoul Bike Sharing Demand
In Rkabacoff/qacData: Datasets for Data Science Instruction

bikes

R Documentation

Seoul Bike Sharing Demand

Description

Seoul Bike Sharing Demand

Usage

bikes

Format

A data frame with 8760 rows and 14 variables:

Date: dd/mmm/yyyy.
Rented: count of bikes rented at each hour.
Hour: hour of he day.
Temp: temperature in Celsius.
Humidity: humidity in percent.
Wind: wind speed in meters/sec.
Visibility: visibility at 10 meters.
Dew: dew point temperature in celcius.
Solar: solar radiation in Mj/m2.
Rainfall: rainfall in millimeters.
Snowfall: snowfall in centimeters.
Seasons: "Winter", "Spring", "Summer", "Autumn".
Holiday: "Holiday", "No Holiday".
Functioning_Day: Does the rental bike system operate on that day?"Yes", "No" .

Details

The data set contains the number of public bikes rented at each hour from the Seoul Bike Sharing System with the corresponding Weather and holiday information. Date is recorded as a character variable. It is a good data set for feature engineering with dates.

Source

Dua, D. and Graff, C. (2019). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science. Seoul Bike Sharing Demand Data Set