Building Data Apps with R and Shiny: Essential Training

Course details

Shiny allows R data science teams to build interactive data-driven web apps without needing to learn HTML, CSS, or JavaScript. It is a powerful and versatile tool that is often used for R&D, data analysis, and even external marketing purposes. If you have a good understanding of the R language and know how to separate client-side code from server-side, you are ready to dive into this course and build a Shiny app. Charlie Hadley covers organizing single and split-file apps, managing data tables, using APIs to get data into an app, adding data controls, deploying an app, and more.

Learning objectives
Building a Shiny data app
Single vs. split-file apps
Static tables vs. interactive tables
renderTable and kableExtra and DT tables
Connecting to an API
Populating pull-down menus from data
Using interdependent filter controls
Collecting data using rhandsontable
Printing to the R console in Shiny apps
Debugging Shiny apps
shinyjs::runcodeUI, reactlog
Deploying apps

Concepts

0. Introduction

01 - Build, test, and deploy apps easily in Shiny
02 - Course organization and prerequisites

1. Introducing Shiny

03 - What is Shiny
04 - What are data apps
05 - Why build data apps with Shiny
06 - Run Shiny apps on your own machine
07 - Quit Shiny apps on your local machine
08 - Deploying apps to shinyapps.io
09 - Deploying apps with Shiny Server

2. Single and Split-File Shiny Apps

10 - Single file apps with shinyApp
11 - Split-file apps
12 - What belongs in the ui.R file
13 - What belongs in the server.R file

3. Shiny Apps 101

14 - Creating a simple Shiny app from scratch
15 - Understanding input$var and output$plot
16 - Render and output functions
17 - Using the session argument
18 - Never duplicate inputs or outputs

4. Data Tables in Shiny

19 - Choose a table solution
20 - Static tables with renderTable
21 - Static tables with kableExtra
22 - Interactive tables with DT

5. Getting Data into Your Shiny Apps

23 - Shiny apps and data 101
24 - Include data files in a Shiny app
25 - Shiny and packages that connect to API
26 - Shiny and .httr-oauth files
27 - Shiny and R environmental variables

6. Data-Driven Controls

28 - Populate pull-down menus from data
29 - Labeling choices in selectInput
30 - Interdependent controls to filter data
31 - Control app updates with actionButton

7. Allow Users to Upload and Download Data

32 - Allow users to download data from an app
33 - Download data from DT tables
34 - Allow users to upload data to an app
35 - Use rhandsontable to collect data

8. Problem-Solving in Shiny Apps

36 - Problem-solving in Shiny apps 101
37 - Printing to the R console in Shiny apps
38 - Debug apps with shinyjs - - runcodeUI
39 - Using reactlog to debug Shiny apps

9. Making Shiny Apps Beautiful

40 - Applying custom CSS to Shiny apps
41 - Inserting images into Shiny apps
42 - Show loading spinners in Shiny apps

10. Deploying Shiny Apps

43 - Where can you deploy Shiny apps
44 - Connecting RStudio with shinyapps.io
45 - Managing Shiny apps with rsconnect
46 - Programmatically deploying apps

Conclusion

47 - Next steps