Storytelling with Data

OVERVIEW Studies have shown that readers will only spend 3 to 8 seconds looking at each plot in a report before deciding whether to invest more time examining that plot or to move on to the next part of the report. This requires careful thought about the visualization design, and clever manipulation of the visualization software (such as the ggplot function in R). Additional thought is required if the data is not just shown in a static report or webpage, but is shown within a dashboard environment (such as using Shiny in R). This master-class has two objectives – to teach the design principles required to make plots that really have an impact on the reader, and to teach the practical skills required to create these plots within the R software package. COURSE OUTLINE

1. Fundamentals of Plot Design
   • Types of plots
   • What is a Key Message
   • What is a Call to Action
   • What is Instant Recognition
2. Fundamentals of Data Visualization in R
   • How to Produce Different Basic Plots in R
   • How to Prepare Your Data for Visualization
3. Advanced Data Visualization in R
   • Use of Components - Color, Size, Location, Reference Lines and Arrows, Titles, Text Annotations, and Footnotes
4. Advanced Plot Design
   • How Do I Use Every Component in The Best Way Possible to Achieve Instant Recognition (For Readers to be able to Identify The Key Message Within The Data as Quickly And Easily as Possible)
5. Using ggplot in R for Advanced Functionality
   • Introduction to Ggplot, Scales, Axes and Positioning
6. Introduction to R Shiny for dashboards
   • Introduction to Dashboards, Design Principles of Effective Dashboards, Programming in R Shiny

FACILITIES Training Kit Handout Certificate Lunch + 2x Coffee Break Souvenir