However, despite its omnipresence, it is often misrepresented, misunderstood or both. That is so because we easily fall prey to cognitive and perceptive biases when interpreting data as well as when presenting it to others. This is specially the case when data is visualised and often happens by accident; deception does not require intention.
In this talk, I’ll explore common pitfalls of data visualisation and provide guidelines on how to spot distortions in how data is presented, how to prevent them, and how to design visualisations that are simple, effective, and fit for purpose.
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