The second edition of the cou= rse INTERACTIVE DATA ANALYSIS AND
VISUALIZATION WITH R SHINY has opened reg= istration.
Instructor: Dr. Ashton Drew (KDV Decision Analysis LLC, US= A)
Dates and place: February 18th-22nd, 2019; Capellades (Barcelona, Spain)
This course is for indi= viduals 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 product= s delivered via a simple web-based graphic-user
After a br= ief survey of the available basic tools (widgets such as
slider bars, check= boxes, and pick lists), we will move quickly to
learn more advanced intera= ctive features.
Activities interspersed throughout the class will pro= vide hands-on
practice with sample biological an= d ecological data. By the end of
the course, stu= dents will have built a portfolio of example code and
will have designed, c= onstructed, and published at least one example
Why [DEL: Shiny :DEL] ?
Shiny turns static data products into interacti= ve web apps. With
interactive and reactive data visualizations, your audien= ce directly
engages with your data for stronger communication and better un derstanding. 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!).
examples: K-means (statistics), TreeViewer (visualization of
phylogenetic trees= ), Word C= loud (generator of word clouds).
More information: https://www.transmittingsc ience.org/courses/drawing-and-communication/interactive-data-analysis-
visua= lization-r-shiny/ or writing to courses from transmittingscience.org
W= ith best regards
Soledad De Esteban-Trivigno, PhD
Transmitting Sc= ience
1. 3D"http://shiny.rstudio.com/gallery/kmeans-example.html 2. 3D"https://klash.shinyapps.io=/