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 functionality
- Installation and basic setup
- Exploring Shiny examples and the gallery
UI and Server Architecture
- Understanding ui.R and server.R components
- Utilizing fluidPage(), sidebarLayout(), and other layout functions
- Designing inputs and outputs
Reactivity and Dynamic Interactions
- Reactive expressions and observers
- Controlling app behavior with reactive inputs
- Debugging reactivity issues
Data Visualization and Reporting
- Integrating ggplot2 and plotly into Shiny apps
- Creating reactive tables using DT or reactable
- Generating downloadable reports with rmarkdown
Advanced UI and Customization
- Adding tabs, conditional panels, and modals
- Incorporating custom CSS and themes
- Using Shiny modules for code reuse
Deployment and Hosting
- Deploying apps to Posit Cloud or Shinyapps.io
- Running apps locally and on Shiny Server
- Managing dependencies and versions
Case Study and Application Design
- Building a full-featured dashboard from scratch
- Implementing interactive filters and user-driven insights
- Tips for performance, security, and scalability
Summary and Next Steps
Requirements
- Familiarity with R programming
- Experience in data analysis or visualization
- Knowledge of HTML and CSS is beneficial but not mandatory
Audience
- Data analysts and scientists
- R developers aiming to build interactive dashboards
- Researchers and educators who visualize data for public or internal use
14 Hours
Testimonials (3)
a multitude of points
Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R
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.