Event box

Dashboards, slides, and R Markdown

Part of the Rfun learning series

Explore the variety of reports that can be generated with R.  Learn to compose dashboards while easily implementing the inherent interactivity of  HTMLWidgets orchestrated through R and RStudio.

Flexible and reproducible reports are easily produced using literate programming techniques.  The R/RStudio/Tidyverse suite enables you to render your analysis into a wide variety of elegant reports.  Simplicity is a key factor.  An R notebook can be repurposed to produce interactive dashboards, slides, e-books, journal articles, PDF documents, MS Word, MS Power Point, Excel, Web Pages, Web Sites, and more.  R Markdown is the key to structuring your final report document.  Code chunks containing R code, within literate programming scripts, enable any R author to reproducibly render multiple report outputs.  These techniques enable you to reach your target audience. 

Come learn how to produce dashboards and slides.  Add interactivity with an artful selection of easily leveraged HTML Widgets.  Along the way you'll learn how you can render your analysis script into an array of different report outputs, pursuant to your audience needs.   

Prerequisites

NOTE:  Bring your laptop.

  1. Use a cloud version of R, or install R & RStudio in advance (instructions)
  2. Install the tidyverse, flexdashboard, crostalk, leaflet, DT, plotly, and dygraphs packages in advance (instructions)

The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience  participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.

Date:
Tuesday, March 24, 2020
Time:
1:30pm - 3:30pm
Location:
Bostock 127 (The Edge Workshop Room)
Campus:
West Campus
Categories:
Data and Visualization  

Event Organizer

Profile photo of John Little
John Little
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Center for Data and Visualization Sciences