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Data visualization is everywhere in the business world, from boardrooms to newspapers to data centres. But not all graphs and charts are as clear as they could be. Many are simply misleading, and the volume and variety of data available today can get in the way of clarity and veracity.
This talk will walk you through some of the fundamental mistakes that can obscure the message, or even result in the viewer taking away entirely wrong conclusions. Afterwards, you will be able to spot when a graphic is misleading or poorly constructed, and avoid making the same mistakes yourself.
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Lies, Damned Lies & Dataviz
Andrew is Director of Learner Analytics & Data Science at Pearson, where he applies machine learning, statistical analysis and data visualization techniques to the challenges of 21st century education.