Lecturer: Kate Saunders
Department of Econometrics and Business Statistics
So far we have developed a good understanding of the theory.
We have learnt:
The best practice principles in data visualisation
Know what separates a good plot from a bad one
Also know what plots work best for which variables
We know how to create a range of different plots
Last lecture Added how to polish our plots and describe them
Reality
Good communication requires the sharing and understanding of key messages
A visualisation can be ‘good’ technically without communicating the key messages well
You need the technical skills to process and visualise the data
But you also need the communication skills to get the message across to others effectively
Time to level up our data visualisation by understanding the principles behind good communication.
Today’s class
Learn about basic communication theory and its connection to data visualisation
Learn how to adapt the communication style for audience, message and medium
Identify and apply rhetorical elements to improve data storytelling
Thanks Emi!
This material was adapted from a lecture in ETC5523: Communicating with Data, that was developed by Dr. Emi Tanaka - @statsgen
To effectively communicate, we must realize that we are all different in the way we perceive the world and use this understanding as a guide to our communication with others.
– Anthony Robbins
The two words ‘information’ and ‘communication’ are often used interchangeably, but they signify quite different things. Information is giving out; communication is getting through.
– Sydney J. Harris
Communication is often thought of as discrete, independent acts but in fact it is a continuous, ongoing process.
Linear communication model
Transactional communication
There is no single, ideal way to communicate
Good communication is situational and relational
Relies on understanding the where, what and who
Or in other words: Medium, Message and the Audience
Medium
How do you plan to communicate your key messages.
Audience
Messaging
So far we’ve used data-visualisation to explore our data
We also want to use data-visualisation to communicate key messages
Need to think about:
What is it you want your audience to know?
How can best can we use visualisation to communicate that message?
Messaging outcome
How do you want your audience to use or respond to those messages? What is the outcome you want from the messaging?
Your turn
Try to explain the importance of data visualisation to:
A 5 year old
A high school student
A peer at university
Your parent
Your boss
Competence
Select the most appropriate communication for a particular situation
Perfect and practice how you deliver that type of communication
Consider empathy or perspective taking
Consider cognitive complexity and communicate at the appropriate level
Self-monitoring reflect on efficacy of your communication
Be open to feedback and where appropriate integrate it into your design or approach
Consider the type of audience
Symbols
Meanings rest in people, not words
Communication works when we agree on meanings.
Need to ensure people interpret the messages in the intended way.
Effective Communication
The art of effective or persuasive speaking or writing
Context and sitatuion matter!
Consider these factors:
Writer or Speaker
Purpose
Message
Audience
Context
Your turn
Consider these scenarios - What rheteorical situation?
The lecturer teaching ETX2250/ETF5922 is sharing material
A social media influencer is promoting a sponsored product
The Australian Bureau of Statistics reporting the latest job statistics
No one ever made a decision because of a number. They need a story.
– Daniel Kahneman
Maybe stories are just data with a soul.
– Brene Brown
Summary
Learnt about:
Communication theory and its connection to data visualisation
Discussed how to adapt communication style for audience, message and medium
Identified and applied rhetorical elements to improve data storytelling
Learnt how to use human cognition and perception to improve our communication

ETX2250/ETF5922