Question: Module Code UFMFH R15M Ma du le Title: Stet ist ieel Inference Data description This dataset is a part of a dataset describing the number

 Module Code UFMFH R15M Ma du le Title: Stet ist ieel
Inference Data description This dataset is a part of a dataset describing

Module Code UFMFH R15M Ma du le Title: Stet ist ieel Inference Data description This dataset is a part of a dataset describing the number of bikes hired every hour as part of a bike sharing scheme in Seoul, South Korea. You have been asked to create a statistical model to help explain the variation in the number of bikes hired each hour. For simplicity, further analysis will only use Spring days that are not holidays and only use daylight hours dened by having solar radiation (MmeZ) values greater than I] when the scheme was functioring. Note that South Korea does not have daylight savings time so you don't have issues wilh time changing during spring. This subset of the data is what you should use for the rest of this assessment. Question 1: Data Preparation: a. Explain what data preparation is required for this analysis. b. Implement the required preparation in the code chunk below

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