Dear colleagues,
Registration is open for the third edition of the Transmitting Science
course INTERACTIVE DATA ANALYSIS AND VISUALIZATION WITH R SHINY. This
course will be offered online live.
Dates: October 26th-30th, 2020
Instructor: Dr. Ashton Drew (KDV Decision Analysis LLC, USA)
Course Overview:
R Shiny (https://shiny.rstudio.com/) turns static data (R code) into
interactive web apps. With interactive and reactive data
visualizations, others will directly engage 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!).
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.
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.
Why Shiny?
Some Shiny examples: K-means
(https://shiny.rstudio.com/gallery/kmeans-example.html) and TreeViewer
(https://klash.shinyapps.io/shinyTreeViewer/).
Registration and more information:
https://www.transmittingscience.com/courses/scientific-communication/interactive-data-analysis-visualization-r-shiny/
Please feel free to distribute this information between your
colleagues if you consider it appropriate.
Best wishes,
Sole