Effective Visual Communication for Quantitative Scientists

IBC2022 Statistics in Practice Session

This repository contains materials for hands on examples for the Effective Visual Communication Webinar for the IBC2022 showcase statistics in practice session.

The site supports a two-part workshop run on Monday 11th July, 2022.

• Part 1 14.00-16.00
• Part 2 16.30-18.00

Please also feel free to also use the materials on your next project. Any feedback or comments on the materials are welcome!

Assignment:

Apply the 3 principles of Effective Visualization to an example of your own.

For the assignment bring and work on your own example completing the following steps.

• Step 1 (have a clear purpose): Complete the Purpose Worksheet for the example you choose. Partially completed purpose worksheets are available for supplied examples. If you choose to bring your own example, a blank purpose worksheet is available here: Purpose_Worksheet.docx
• Step 2 (show the data clearly): Select what data to display, and how to display it, iterate through a few alternatives in quick sketches
• Step 3 (make the message obvious): Choose a graph or two from the previous step, and refine to make the message obvious

Note: For steps 2 and 3, you may choose to use pen and paper, or a drawing, graphing, or coding software. It’s up to you!

Back up example - Capmatinib NSCLC MET mutations

Did you bring one? If not, can you think of one now? Otherwise, take a graph we provide (Capmatinib example).

Any questions?

For any questions please reach out directly to the facilitators through email.

Workshop materials

Here is a list of the webinar materials:

• Slides
• Shortcut to the purpose worksheet
• The IBC2022 conference homepage
• Back-up example (if you do not have one of your own)

References

• Cheat sheet and tutorial
• The purpose worksheet is inspired by the big idea worksheet from the book: Knaflic, Cole. Storytelling With Data: Let’s Practice! Wiley, © 2019. http://www.storytellingwithdata.com/

More resources and references

Here is a list of other useful resources and related initiatives.

Graphical principles initiative:

• A Rstudio Rviews webinar on graphics principles and visR, and blog post
• R in Pharma 2020 talk on EVC, slides and video.
• The xGx initiative from Novartis PMX.

Data visualization initiatives:

• PSI special interest group on visualisation (VIS SIG).
• The PSI VIS SIG Wonderful Wednesdays webinar series, datasets and blog.
• The CTSpedia initiative.
• The STRengthening Analytical Thinking for Observational Studies (STRATOS) visualisation panel
• The visR initiative.

Online resources:

• Trees, maps and theorems by Jean-luc Doumont
• Data visualization by Kieran Healy, including R code with examples.
• Fundamentals of data vizualisation by Claus O. Wilke. The book also includes R code with examples.