CPD 202- Take a Data Plot and Make It Better presented by Dianne Cook

Part of the Statistical Computing and Data Visualisation Section tutorial series

Take a Data Plot and Make It Better presented by Dianne Cook

This tutorial is for data analysts and statisticians who work regularly with data and want to improve their ability to make effective data visualisations. You will learn general principles that can get you off to a good start in making a data plot, and how to use these to layer up to a more effective communication. It will be hands-on, so we will code together and make the plots and improve them. There will be an opportunity to bring your own plot and data, and work together on making it better.

Bio: Dianne Cook

Dianne Cook, a Professor of Statistics at Monash University in Melbourne, Australia, is a global leader in data visualisation. She has delivered over 100 invited talks internationally and published extensively on various aspects of data visualisation. Dr. Cook is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, past editor of the Journal of Computational and Graphical Statistics, and the R Journal. She has served as a Board Member of the R Foundation and is currently the co-chair of the Statistical Computing and Visualisation Section of the Statistical Society of Australia

Requirements:

You should have a basic understanding of R, be familiar with tidy data, and know how to use ggplot2. It’s also helpful if you’ve read the material in R4DS

and taken a first-year statistics course.

Structure of the tutorial:

length (mins)	topic	description
5	Overview	What we will cover
10	Tidy data	Make the data do the work to more easily create a plot
20	Grammar of graphics	Defining a plot succinctly and clearly
15	Guided exercises
15	Cognitive principles	Equipping your toolbox to work for many purposes
15	Guided exercises
10	Identifying poor elements	Develop skills in identifying what can be improved in a plot
30	BREAK
15	Fixing the plot design	Practicing improving a plot based on cognitive principles, tidy data and the grammar of graphics
10	Guided exercises
15	Styling and theming	Common ways to polish a plot or ensemble of plots
10	Guided exercises
10	Is the pattern visible and real	Check what you are trying to communicate, using statistical thinking
10	Guided exercises
20	Making your own plot better	Your turn to have a guided practice at improving a plot from your own work

Cancellation Policy

Occasionally courses have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen.

Cancellations received prior to two weeks before the event will be refunded, minus a $25 administration fee. From then onward no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.

For any questions, please email events@statsoc.org.au