The second edition of the course INTERACTIVE DATA ANALYSIS AND VISUALIZATION WITH R SHINY has opened registration.
Instructor: Dr. Ashton Drew (KDV Decision Analysis LLC, USA)
Dates and place: February 18th-22nd, 2019; Capellades (Barcelona, Spain)
This course is for individuals considering developing Shiny apps to deliver their research. Thus, the goal will be to teach the skills necessary to translate static products (your current analysis in R) to dynamic products delivered via a simple web-based graphic-user interface.
After a brief survey of the available basic tools (widgets such as slider bars, check boxes, and pick lists), we will move quickly to learn more advanced interactive features.
Activities interspersed throughout the class will provide hands-on practice with sample biological and ecological data. By the end of the course, students will have built a portfolio of example code and will have designed, constructed, and published at least one example Shiny app.
Shiny turns static data products into interactive web apps. With interactive and reactive data visualizations, your audience directly engages with your data for stronger communication and better understanding. The Shiny apps can easily be launched directly to the web via shinyapps.io or Shiny Server to be run by anyone (they don’t need to download your data or have R!).
Other Shiny examples: K-means (statistics), TreeViewer (visualization of phylogenetic trees), Word Cloud (generator of word clouds).
More information: https://www.transmittingscience.org/courses/drawing-and-communication/interactive-data-analysis-visualization-r-shiny/ or writing to courses from transmittingscience.org
With best regards
Soledad De Esteban-Trivigno
Institut Català de Paleontologia Miquel Crusafont (ICP)
Campus de la Universitat Autònoma de Barcelona
Cerdanyola del Vallès (Barcelona). Spain