Engineering Production-Grade Shiny Apps with R Book Club
Welcome
Book club meetings
1
About Successful {shiny} Apps
1.1
Introduction
1.1.1
Motivation for the book (& the bookclub)
1.1.2
Audience for the book
1.1.3
What is “Production”?
1.2
Intro to {shiny}
1.3
What is a complex {shiny} application?
1.4
Types of complexity
1.5
Code complexity
1.6
App complexity?
1.7
What is a successful {shiny} app?
1.8
Meeting Videos
1.8.1
Cohort 1
2
Planning Ahead
2.1
Prepare for Success
2.2
Develop with the
KISS
principle
2.3
Working as a team: Tools and structure
2.3.1
From the tools point of view
2.3.2
From the team point of view
2.4
Reference
2.5
Meeting Videos
2.5.1
Cohort 1
3
Structuring Your Project
3.1
{shiny} app as a package
3.1.1
What is in a production-grade {shiny} app?
3.1.2
Resources
3.2
Using {shiny} modules
3.2.1
Why {shiny} modules?
3.2.2
When to use {shiny} modules
3.2.3
A practical walkthrough
3.2.4
Communication between modules
3.3
Structuring your app
3.3.1
Small is beautiful (bis repetita)
3.3.2
Conventions matter
3.4
Meeting Videos
3.4.1
Cohort 1
4
Introduction to Golem
4.1
Meeting Videos
4.1.1
Cohort 1
5
The Workflow
5.1
Meeting Videos
5.1.1
Cohort 1
6
User experience - UX
6.1
Introduction
6.2
Simplicity is gold
6.2.1
How we read the web: Scanning content
6.2.2
Building a self-evident app (or at least self-explanatory)
6.3
The danger of feature-creep
6.3.1
What is feature-creep?
6.3.2
Too much reactivity
6.3.3
Too much interactivity
6.4
Web accessibility
6.4.1
About accessibility
6.4.2
Making your app accessible
6.4.3
Evaluating your app accessibility and further reading
6.5
References
6.6
Meeting Videos
6.6.1
Cohort 1
7
Don’t Rush into Coding
7.1
Meeting Videos
7.1.1
Cohort 1
8
Setting Up for Success with {golem}
8.1
Setting up for Success with {golem}
8.2
Create a {golem}
8.3
Setting things up with
dev/01_start.R
8.3.1
Fill the
DESCRIPTION
and set options
8.3.2
Set common files
8.3.3
Use recommended elements
8.3.4
Add utility functions
8.3.5
Changing the favicon
8.4
Setting infrastructure for prototyping
8.4.1
Add modules in
dev/02_dev.R
8.4.2
Add CSS and JS files
8.5
Meeting Videos
8.5.1
Cohort 1
9
Building an Ipsum App
9.1
Learning Outcomes
9.2
Tools
9.3
Prototyping is crucial
9.3.1
Prototype, then polish
9.3.2
The “UI first” approach
9.4
Prototyping {shiny}
9.4.1
Fast UI prototyping with {shinipsum}
9.5
Building with RMarkdown
9.5.1
Define the content of the application
9.5.2
Using the Rmd files as a laboratory notebook
9.5.3
Rmd, Vignettes, and documentation first
9.6
Meeting Videos
9.6.1
Cohort 1
10
Building the App with {golem}
10.1
Learning Outcomes
10.2
Tools / Packages Used
10.3
Add dependencies
10.3.1
Package dependencies
10.3.2
Importing packages and functions
10.4
Submodules and utility functions
10.5
Add tests
10.6
Documentation and code coverage
10.6.1
Vignette
10.6.2
Code coverage and Continuous Integration
10.7
Using {golem} dev functions
10.8
Meeting Videos
10.8.1
Cohort 1
11
Build Yourself a Safety Net
11.1
Learning Objectives
11.2
Tools and Resources
11.3
Testing Your App
11.3.1
Testing the business logic
11.3.2
shiny::testServer
11.3.3
Testing the interactive logic
11.4
Further sections
11.5
Meeting Videos
11.5.1
Cohort 1
12
Version Control
12.1
Introduction
12.2
Using version control with Git
12.2.1
Why version control?
12.2.2
Git basics: add - commit - push - pull
12.2.3
About branches
12.2.4
Issues
12.3
Git integration
12.3.1
With RStudio
12.3.2
As part of a larger world
12.3.3
About git-flow
12.4
Automated testing
12.5
Conclusions
12.5.1
Resources
12.6
Meeting Videos
12.6.1
Cohort 1
13
PLACEHOLDER
13.1
Slide 1
13.2
Meeting Videos
13.2.1
Cohort 1
14
The Need for Optimization
14.1
Build first, then optimize
14.1.1
Identifying bottlenecks
14.1.2
Do you need faster functions?
14.1.3
Don’t sacrifice readability
14.2
Tools for profiling
14.2.1
Profiling R code
14.2.2
Profiling {shiny}
14.2.3
Profiling web pages
14.3
Resources
14.4
Meeting Videos
14.4.1
Cohort 1
15
Optimazing Shiny - Common Application Caveats
15.1
Introduction
15.2
Reactivity anti-patterns
15.2.1
observe vs observeEvent
15.2.2
Building triggers and watchers
15.3
Using R6 as data storage
15.4
Logging reactivity with {whereami}
15.4.1
What is logging? - What is a
reactive logging
?
15.5
R does too much
15.5.1
Rendering the UI from the server side
15.5.2
Too much data in memory
15.6
Reading data
15.6.1
Reading external datasets
15.6.2
Including data in your application
15.6.3
Using external databases
15.6.4
Data-source checklist
15.7
Conclusions
15.7.1
Resources
15.8
Meeting Videos
15.8.1
Cohort 1
16
Optimizing {shiny} code
16.1
Resources
16.2
Caching Elements
16.2.1
What is Caching
16.2.2
Native caching in R
16.2.3
Caching in {shiny}
16.3
Asynchronous in {shiny}
16.3.1
Asynchronously ease cross-session issues
16.3.2
Asynchronously ease within-session issues
16.3.3
Common Pitfalls
16.4
Meeting Videos
16.4.1
Cohort 1
17
Using JavaScript
17.1
Introduction
17.2
A quick introduction to JavaScript
17.2.1
Including JavaScript code in your app
17.2.2
Understanding HTML, class, and id
17.2.3
Querying in Vanilla JavaScript
17.2.4
About DOM Events
17.2.5
About
jQuery
and
jQuery
selectors
17.3
Client-Side JavaScript
17.3.1
Common Patterns
17.3.2
Where to put them: Back to JavaScript Events
17.4
JavaScript <->
{shiny}
Communication
17.4.1
From R to JavaScript
17.4.2
From JavaScript to R
17.5
About {shinyjs} JS functions
17.6
One last thing: API calls
17.7
Learn more about JavaScript
17.7.1
{shiny}
and JavaScript
17.7.2
JavaScript basics
17.7.3
jQuery
17.7.4
Intermediate/advanced JavaScript
17.8
Meeting Videos
17.8.1
Cohort 1
18
A Gentle Introduction to CSS
18.1
What is CSS
18.1.1
Default CSS for {shiny}
18.2
Getting started with CSS
18.3
Integrate CSS files in your {shiny} app
18.3.1
Inline
18.3.2
Using tags$style()
18.3.3
Using external files
18.4
External Resources
18.5
Meeting Videos
18.5.1
Cohort 1
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Engineering Production-Grade Shiny Apps Book Club
Chapter 15
Optimazing Shiny - Common Application Caveats
Learning Objectives
Decide what should be optimized.
Compare app versions to optimize an app.
Read data into your Shiny application.