Workshop - Appsilon | Enterprise R Shiny Dashboards

This is a standard workshop that we have offered to small development houses and Fortune 500 data science teams alike.

Our Instructors:

Pedro Coutinho Silva

Software Engineer | Data Science Consultant

Damian Rodziewicz

Appsilon Co-Founder

Olga Mierzwa-Sulima

Senior Data Scientist

Marcin Dubel

Software Engineer | Data Science Consultant

The workshop will be led by the Appsilon team and will consist of 10 four-hour meetings. During this time, we will focus on sharing our knowledge, tools, and best practices with your team. We will also actively code with your team and work together during the hands-on sessions. As a result, your team will develop new skills and gain access to better tools.

Shiny in Production Workshop

Day 1 - Kickoff - Basics:

Building Shiny applications - how to, CI/CD, adding custom JS/CSS
Hands-on session

Day 2 - Structure of Shiny apps:

Code architecture: shiny modules, R6 classes, wahani/modules, directory structure
Hands-on session

Day 3 - Developing Shiny Application UI:

UI development, app layout, working with different screen sizes
Routing, user interaction (e.g. mouse click, swipe, touch click etc.)
Hands-on session

Day 4 - Styling Shiny Applications:

SASS - modularized CSS in R Shiny
Different packages to build shiny applications
Shiny.semantic walkthrough
Hands-on session

Day 5 - Unit, end-to-end, performance testing:

Writing Unit Tests - dependency injection, test smells
Writing Performance and end-to-end tests
Data validation with Assertr
Hands-on session

Day 6 - Charts and UI Packages:

Overview of charting packages
Useful UI packages (e.g. shinyJS)
Hands-on session

Day 7 - Geospatial:

Geospatial world - formats, libraries, files, packages
Hands-on session

Day 8 - Error reporting & monitoring:

Monitoring and error reporting tools in a production environment
User behavior analysis to uncover insights and make the appropriate changes
Customer development, user adoption, and user interviews
Hands-on session

Day 9 - Profiling:

Useful R packages and resources (shiny.i18n, shiny.info, etc.)
Profiling and debugging R Shiny
RStudio shortcuts and tips
Hands-on session

Day 10 - Advanced topics:

Scaling Shiny - best practices, code architecture, infrastructure, tweaks
Shiny promises and futures
Offline apps, mobile native apps
Hands-on session

Appsilon Shiny Development Workshop