GOOD PRACTICES
Creating analytical applications
Training description
This training presents the best practices and the latest standards in designing aesthetic, readable and understandable analytical applications and visualizations.
Duration: 2 days 8 hours each (including an hour lunch break)
Requirements: knowledge of R at an intermediate level and knowledge of Shiny framework which can be acquired in our training “Introduction to R” and “Shiny – web apps in R.”
Training agenda
Part one: In top form
- Dashboard vs. Application
- Common mistakes when designing an app
Part two: Communication goals
- Data visualisation vs. Text
- Defective visualization forms
- Overview of the best types of visualization
- The best practices in creating visualizations
- Overview of packages for interactive visualization in R
Part three: The end-user is king
- Application as a source of information
- Supporting the decision making process
Part four: The holistic view
- Overview of key techniques when creating application/dashboard
Contact us about closed training