This tutorial is a hands-on activity complement to a set of [presentation slides](https://docs.google.com/presentation/d/1dXhqqsD7dPOOdcC5Y7RW--dEU7UfU52qlb0YD3kKeLw/edit#slide=id.p) for learning how to build Shiny apps.

This book is a guide for authors, maintainers, reviewers and editors of rOpenSci... and more !

Official shiny website (Tutorials, gallery and articles)

This book describes spatial and spatio-temporal statistical methods and visualization techniques to analyze georeferenced health data in R

This site is about everything that comes up during data analysis except for statistical modelling and inference

A Handbook for Teaching and Learning with R and RStudio

Learn to use R, the tidyverse collection of packages and functional programming concepts to write efficient and readable code

This book supplements my presentation at the Omaha R User Group on Thursday, April 4, 2019. If you develop Shiny Applications and your back end is a relational database, then this book is for you. The demos and code snippets are written in T-SQL, Microsoft SQL Server dialect of SQL, but the core concepts are applicable across all RDBMS systems. Data Scientists using R are the primary audience. Database Developers, BI Developers, Software Engineers, Data Analysts and Managers wanting to learn more about Shiny Database applications will also benefit from the material.

Materials for a Shiny Workshop

Manuel de référence pour l'utilisation du rmarkdown