Day 94 of 180 Days of Data Viz Learning

I’m doing some form of data visualization learning for 180 days because I need to #JFDI.

See post explaining how and why I’m doing this.

Reading and Learning Data Visualization Theoretically/Critically:
I went to Visualization and the City: A Talk with Claudio Silva, a professor at NYU working with visualizing NYC City Data, projects such as TaxiVis
Three Takeaways from talk:
  • Biggest difficultly is not scaling with computing power, but with people and processes – eg personnel, how to connect data scientists with domain experts
  • Auto anomaly detection methods important with working with big data
  • Think about making tools and visuals that “operate with speed of brain” in terms of load time, interface, etc.

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