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Course Outline
Introduction to Shiny
- What is Shiny and how it works
- Installation and basic setup
- Exploring Shiny examples and gallery
UI and Server Architecture
- Understanding ui.R and server.R components
- Working with fluidPage(), sidebarLayout(), and 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 in Shiny apps
- Building reactive tables with 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
- Interactive filters and user-driven insights
- Tips for performance, security, and scalability
Summary and Next Steps
Requirements
- An understanding of R programming
- Experience working with data analysis or visualization
- Familiarity with HTML and CSS is helpful but not required
Audience
- Data analysts and scientists
- R developers seeking to build interactive dashboards
- Researchers and educators visualizing data for public or internal use
14 Hours
Testimonials (5)
ήταν κατατοπιστικό και χρήσιμο
Brenton - Lotterywest
Course - Building Web Applications in R with Shiny
Machine Translated
Πολλά παραδείγματα και ασκήσεις που σχετίζονται με το θέμα της εκπαίδευσης.
Tomasz - Ministerstwo Zdrowia
Course - Advanced R Programming
Machine Translated
Η μέρα 1 και η μέρα 2 ήταν πράγματι ευπετή για μένα και πραγματικά απολαύσα αυτή την εμπειρία.
Mareca Sithole - Africa Health Research Institute
Course - R Fundamentals
Machine Translated
Η ταχύτητα ήταν κατάλληλη και η υπερβολικά αποφασισμένη ατmosφαιρία επέτρεψε στους υποψήφιους να αισθάνονται ήρεμα και να επιτρέψουν ερωτήσεις. (Note: There seems to be a slight inconsistency in the original sentence structure which has been maintained in translation. "υπερβολικά αποφασισμένη" might not accurately reflect "relaxed atmosphere". A more accurate translation would be "ρελαξωμένη ατmosφαιρία", but I've maintained the structure as per guidelines.) Corrected version: Η ταχύτητα ήταν κατάλληλη και η ρελαξωμένη ατμόσφαιρα επέτρεψε στους υποψήφιους να αισθάνονται ήρεμα και να επιτρέψουν ερωτήσεις. (Note: "επιτρέψουν ερωτήσεις" might not be the most natural way to express "to ask questions". A more natural translation would be "να ρωτούν ερωτήματα".) Final corrected version: Η ταχύτητα ήταν κατάλληλη και η ρελαξωμένη ατμόσφαιρα επέτρεψε στους υποψήφιους να αισθάνονται ήρεμα και να ρωτούν ερωτήματα.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
Machine Translated
It was very informative and professionally held. Wojteks knowledge level was so advanced that he could basically answer any question and he was willing to put effort into fitting the training to my personal needs.
Sonja Steiner - BearingPoint GmbH
Course - R Programming for Data Analysis
Machine Translated
