This analysis explores stock price prediction using the Prophet package in R, which effectively captures trends and seasonality in time series data. By leveraging historical stock prices, we can generate reliable forecasts to aid in informed investment decisions.

Detailed description of the Data Analytic process applied to the case of Divvy, the bicycle sharing system in the Chicago metropolitan area , during the one-year period between October 2023 and September 2024. The central objective of this work is to find a satisfactory answer , based on data provided by system administrators, so that casual riders become annual members