Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Shiny
- Overview of Shiny and its functioning.
- Installation and basic configuration.
- Exploration of Shiny examples and gallery.
UI and Server Architecture
- Comprehension of ui.R and server.R components.
- Utilization of fluidPage(), sidebarLayout(), and layout functions.
- Designing inputs and outputs.
Reactivity and Dynamic Interactions
- Reactive expressions and observers.
- Controlling application behavior through reactive inputs.
- Debugging reactivity issues.
Data Visualization and Reporting
- Integrating ggplot2 and plotly into Shiny applications.
- Creating reactive tables with DT or reactable.
- Generating downloadable reports using rmarkdown.
Advanced UI and Customization
- Adding tabs, conditional panels, and modals.
- Incorporating custom CSS and themes.
- Utilizing Shiny modules for code reuse.
Deployment and Hosting
- Deploying applications to Posit Cloud or Shinyapps.io.
- Running applications locally and on Shiny Server.
- Managing dependencies and versions.
Case Study and Application Design
- Constructing a fully-featured dashboard from scratch.
- Implementing interactive filters and user-driven insights.
- Guidance on performance, security, and scalability.
Summary and Next Steps
Requirements
- Understanding of R programming.
- Experience in data analysis or visualization.
- Familiarity with HTML and CSS is beneficial but not mandatory.
Target Audience
- Data analysts and scientists.
- R developers aiming to build interactive dashboards.
- Researchers and educators visualizing data for internal or public consumption.
14 Hours
Testimonials (2)
knowledge of the trainer, tailor based, all topics covered
eleni - EUAA
Course - Forecasting with R
The real life applications using Statcan and CER as examples.
