The second edition of the course INT= ERACTIVE DATA ANALYSIS AND
VISUALIZATION WITH R SHINY has opened registrati= on.
Instructor: Dr. Ashton Drew (KDV Decision Analysis LLC, USA)
<= p>Dates and place: February 18th-22nd, 2019; Capellades (Barcelona,
This course is for individuals= considering developing Shiny apps to
deliver their research. Thus, the goa= l will be to teach the skills
necessary to translate static products (your = current analysis in R)
to dynamic products deliv= ered via a simple web-based graphic-user
After a brief sur= vey of the available basic tools (widgets such as
slider bars, check boxes,= and pick lists), we will move quickly to
learn more advanced interactive f= eatures.
Activities interspersed throughout the class will provide ha= nds-on
practice with sample biological and = ecological data. By the end of
the course, students w= ill have built a portfolio of example code and
will have designed, construc= ted, and published at least one example
Why S= hiny?
Shiny turns static data products into interactive web = apps. With
interactive and reactive data visualizations, your audience dire= ctly
engages with your data for stronger communication and better
understan= ding. The Shiny apps can easily be launched directly to the
web via shinyap= ps.io or Shiny Server to be run by anyone (they don't
need to downloa= d your data or have R!).
Other Shiny examples:&= #160;K-mea ns (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-visualiza
tion-= r-shiny/ or writing to courses from transmittingscience.org
With best = regards
Soledad De Esteban-Trivigno, PhD
Sci= entific Director
2. 3D"https://klash.shinyapps.io/shinyT 3. 3D"http://shiny.rstudio.com/gallery/word-cloud.html"