Dataset: Bike sharing
Bike sharing systems are a new generation of traditional bike rentals where whole process from membership, rental and return back has become automatic. Through these systems, the user is able to easily rent a bike from a particular position and return back at another position. About 500 bike-sharing programs exist currently around the world, and there exists a great interest in these systems due to their important role in traffic, environmental and health issues.
The data correspond to the year 2012 from the Capital Bikeshare system, Washington D.C., USA.
The dataset contains 366 observations on 14 variables. Variables: • dteday: date • season: season (1: spring, 2: summer, 3: fall, 4: winter) • mnth: month, 1 to 12 • hr: hour, 0 to 23 • holiday: whether the day is a holiday or not • weekday: the day of the week • workingday: if the day is neither weekend nor holiday, then working day is 1, otherwise it is 0 • weathersit: the weather o 1: clear, few clouds, partly cloudy o 2: mist and cloudy, mist and broken clouds, mist and few clouds, mist o 3: light snow, light rain and thunderstorm and scattered clouds, light rain and scattered clouds o 4: heavy rain and ice pallets, thunderstorm and mist, snow and fog • temp: normalized temperature in Celsius. Actual temperature values were divided by 41. • atemp: normalized feeling temperature in Celsius. Actual temperature values were divided by 50. • hu: normalized humidity. Humidity (in %) was divided by 100. • windspeed: normalized wind speed. Actual wind speed in km/h was divided by 67. • casual: count of casual users • cnt: count of total rental bikes including both casual and registered Response: bike rental daily count
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