These appendices are designed to supplement material in our book, ‘Communicating with Data Visualisation’

Appendix A: The value of refinement

This appendix offers a walkthrough of a project where all we were able to do was change the design. The content was locked. However, it shows how even cosmetic changes can make fundamental differences to how an audience sees a story.

Appendix B: Statistical basics

A look at some basic statistical concepts - averages, standard deviation, standard error, confidence intervals - and how understanding them can make you a better data storyteller.

Appendix C: Hypothesis testing and more

More advanced statistical concepts for those who present to more academic or scientific audiences. Here your charts often need to show more detail and greater methodological rigour.

Appendix D: Misconceptions and misunderstandings

What’s the difference between percentage and percentage points? And is that the same as a percentile? A walkthrough of some common statistical misunderstandings - and ways to avoid making them.

Appendix E: Data visualisation and storytelling

How data visualisation is part of a longer tradition of visual storytelling, and why this form of narrative is a uniquely effective way of getting information into your audience’s heads.