Creating analytical applications

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

Upcoming open trainings

Currently, no open training covering the given issue is planned. We encourage you to contact us regarding the closed training.

Contact us about closed training
Go to open training base

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