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Course Outline
Introduction to Shiny
- Overview of Shiny and its operational mechanism.
- Installation procedures and initial setup.
- Exploring Shiny examples and the official gallery.
UI and Server Architecture
- Understanding the ui.R and server.R components.
- Utilizing fluidPage(), sidebarLayout(), and other layout functions.
- Designing effective inputs and outputs.
Reactivity and Dynamic Interactions
- Mastering reactive expressions and observers.
- Controlling application behavior through reactive inputs.
- Debugging common reactivity issues.
Data Visualization and Reporting
- Integrating ggplot2 and plotly within Shiny applications.
- Constructing reactive tables using DT or reactable.
- Generating downloadable reports via rmarkdown.
Advanced UI and Customization
- Adding tabs, conditional panels, and modals.
- Incorporating custom CSS and themes.
- Utilizing Shiny modules to promote code reuse.
Deployment and Hosting
- Deploying applications to Posit Cloud or Shinyapps.io.
- Running applications locally and on Shiny Server.
- Managing dependencies and version control.
Case Study and Application Design
- Building a comprehensive dashboard from scratch.
- Implementing interactive filters and user-driven insights.
- Best practices for performance, security, and scalability.
Summary and Next Steps
Requirements
- A foundational understanding of R programming.
- Experience with 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
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
Contact us for an exact quote and to hear our latest promotions
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.
