Understand the effects of different weather

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Reference no: EM133793002

The dataset contains count of public bicycles rented per hour in the Seoul Bike Sharing System, with corresponding weather data and holiday 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. (Sathishkumar and Cho 2020)

Your task is to analyze the dataset and answer the following questions to help understand the effects of different weather variables on the demand of rental bikes in the city. These are the variables that the file contains:

Reference no: EM133793002

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