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The dataset contains daily counts of bikes rented with corresponding weather and seasonal information. The data is provided by Hadi Fanaee-T and available from https://doi.org/10.24432/C5W894. Additionally, model information from a single hidden layer neural network with eight nodes in the hidden layer has been added: the values of the activations for all observations (variables A1 to A8 in the cluster space) and the model prediction (pred) and residual (res) in the other variables.

Usage

Bikes

Format

a list of 4 dataframes

df

dataframe 731 obs of 18 variables containing the entire bikes data set

space1

dataframe 731 obs of 8 variables (cluster space)

space2

dataframe 731 obs of 6 variables (linked space, predictors used in the model)

other

dataframe 731 obs of 4 variables (other variables, including observed and predicted counts)