The dataset contains count of public bicycles rented per hour in the Seoul Bike Sharing System, with corresponding weather data and holiday information.
- Gather the dataset containing the count of rented bikes per hour, weather data, and holiday information.
- Explore the dataset to understand its structure, variables, and relationships.
- Identify any missing values, outliers, or inconsistencies in the data
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.
Obs: This dataset is taken from: https://archive-beta.ics.uci.edu/dataset/560/seoul+bike+sharing+demand