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.
Data analytics of a bike sharing system in R. Kaggle challenge data: https://www.kaggle.com/c/bike-sharing-demand/data
This project aims to predict the number of bikes using regression models., following the CRISP-DM approach
Data exploratory analysis focused on data visualization of trips made by "mi bici" the public bike program in Guadalajara Mexico.
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.
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