The catastrophic consequences of not being awesome at plots

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“Hey boss, we made a totally rad deep learning algorithm! It trawls through the internet and literally tells the future!”

“Yeah, cool. But do you have a plot I can show the board?”

Data visualisation is the capstone of data science. As businesses collate massive and disparate data streams, and as algorithms become more complex, communicating results has become more important and more challenging than even before. We need to to start placing as much importance on accessible visualisation as we do on database architecture or algorithm design.

In this talk I will present some core visualisation principles that I have developed over 15 years of experience visualising (literally) astronomical datasets, carbon emissions, behavioural analytics, even the odd basketball game. These can be employed by any data scientist to help their data tell the right story to the right people.

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