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Duration 14 hours
Course Outline
Introduction to Shiny
- Overview of Shiny and its underlying mechanisms.
- Installation and initial setup.
- Reviewing Shiny examples and the community gallery.
UI and Server Architecture
- Understanding the ui.R and server.R components.
- Utilising fluidPage(), sidebarLayout(), and other layout functions.
- Designing user inputs and application outputs.
Reactivity and Dynamic Interactions
- Working with reactive expressions and observers.
- Managing app behaviour through reactive inputs.
- Diagnosing and resolving reactivity issues.
Data Visualisation and Reporting
- Integrating ggplot2 and plotly within Shiny apps.
- Creating reactive tables using DT or reactable.
- Producing downloadable reports with rmarkdown.
Advanced UI and Customisation
- Incorporating tabs, conditional panels, and modals.
- Applying custom CSS and themes.
- Leveraging Shiny modules for code reusability.
Deployment and Hosting
- Deploying applications to Posit Cloud or shinyapps.io.
- Running apps locally or via Shiny Server.
- Managing dependencies and version control.
Case Study and Application Design
- Developing a comprehensive dashboard from the ground up.
- Implementing interactive filters and user-driven insights.
- Best practices for performance, security, and scalability.
Summary and Next Steps
Requirements
- A solid understanding of R programming.
- Experience with data analysis or visualisation.
- Familiarity with HTML and CSS is beneficial but not essential.
Target Audience
- Data analysts and scientists.
- R developers aiming to create interactive dashboards.
- Researchers and educators who visualise data for public or internal audiences.
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 2600 € + VAT*
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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.
