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September 2020

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Subject:
From:
Soledad De Esteban Trivigno <[log in to unmask]>
Reply To:
Classification, clustering, and phylogeny estimation
Date:
Tue, 15 Sep 2020 11:18:29 +0200
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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

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