A Collective Autopsy of Chart Crimes

Charts look objective. That's what makes them dangerous. This dialogue builds your pattern recognition for the systematic ways visualisations mislead, and the questions to ask before you trust what you see.

Agriya Khetarpal

Software Engineer·Quansight

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About this session

About the speaker

Agriya is a software engineer at Quansight, where he works on scientific open source software in the Scientific Python and Jupyter ecosystems. He is passionate about advancing science policy in India and believes that data, communicated honestly and rigorously, is one of its most powerful tools – a conviction that keeps him equally at home, whether in a terminal or in a policy debate.

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