A simple guide of R Shiny to analyze, explore, and predict bike-sharing registrations.
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Updated
Aug 24, 2020 - R
A simple guide of R Shiny to analyze, explore, and predict bike-sharing registrations.
This project aims to predict the number of bikes using regression models., following the CRISP-DM approach
This project is a capstone part of the Google Data Analytics Professional Certificate on Coursera. This project involves data preparation, data preprocessing, data analysis and data visualization.
Data exploratory analysis focused on data visualization of trips made by "mi bici" the public bike program in Guadalajara Mexico.
Data analytics of a bike sharing system in R. Kaggle challenge data: https://www.kaggle.com/c/bike-sharing-demand/data
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