On-demand webinar

Data Visualisation Literacy: Learning to See

Few of us have ever been taught how to effectively and efficiently read charts and graphics. Many of us have probably never even thought about it.

We tend to get by through exposure and repetition, gradually becoming more familiar with different approaches. The prospect of reading a bar chart as well as the pie and line charts is consequently quite a straightforward proposition for many. However, there are many more ways of visually portraying data beyond these classic three methods that are increasingly being used in a mainstream setting.

Developing one’s visualisation literacy is not just about creating more effective visualisations but also being better at reading them. To write well, you must also be able to read well. In this talk Andy will outline some tactics and approaches to get the most out of the experience of consuming a visualisation. He will integrate the key findings to emerge from his recent research activity with the University of Sheffield on the ‘Seeing Data’ project, looking at the human and design factors that influence engagement and effectiveness.

What do we need to do as creators of visualisations to ensure we optimise the viewing experience? Join us for this on-demand session and find out.

About the speakers

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Andy Kirk

Data Visualisation Specialist and Founder of visualisingdata.com

Andy Kirk is a UK-based freelance data visualisation specialist, and editor of visualisingdata.com. After graduating from Lancaster University in 1999 with a B.Sc (hons) in Operational Research, he held a number of business analysis and information management positions at some of the largest organisations in the UK, including West Yorkshire Police and the University of Leeds.

In December 2009 Andy completed a Masters by Research M.A (Distinction) programme (University of Leeds), studying the subject of data visualisation and soon after launchedvisualisingdata.com. This has grown to become a popular source of information about the increasingly popular data visualisation field, providing readers with information about contemporary techniques, resources, latest developments and key insights.

Andy became a freelance professional in 2011 focusing on data visualisation consultancy and training workshops. He has delivered over 100 public and private training events across UK, Europe, North America, India, South Africa and Australia. Some of his clients include Heineken, Disney, Intel, WHO, OECD and McKinsey. His teaching activities extend to being a visiting lecturer at the highly-respected Maryland Institute College of Art (US) teaching a module on the Information Visualisation Masters programme.

In December 2012, Andy released his first book entitled “Data Visualization: a successful design process”, a practical guide for anyone facing the challenges of designing data visualisations in the most effective and efficient way. He is now working on a second book, due to be published by Sage in 2015.

Between January 2014 and March 2015 Andy is working as co-investigator on a research project called ‘Seeing Data’ funded by the Arts & Humanities Research Council and hosted by the University of Leeds exploring visualisation literacy amongst the general public.

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Andy Cotgreave

Technical Evangelism Director, Tableau

Andy Cotgreave is a visual analytics expert who has been with Tableau in various roles since 2011 ranging from product consultant to social content manager. He is now Tableau's Technical Evangelism Director. Before joining Tableau, he was a data analyst at the University of Oxford.

As a technical evangelist, Andy helps people see and understand their data using Tableau’s innovative products. He shares his passion for visual analysis and technology with his writing, (eg Computerworld, on tableau.com and his own blog) and by speaking at industry conferences like SXSW and Tableau’s own events. He's also active on Twitter @acotgreave.

Andy’s role at Tableau gives him the opportunity to work with the media, analysts and customers across all industries to help them understand the trends in visual analytics and develop their own data-discovery skills.

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