It's easy to make charts nowadays. However, just throwing in some data and selecting a chart type won't fly far. William Cleveland's research from the 80s in the field of graphical perception and data visualization is a great starting point for people who want to make charts that are understandable and optimal in conveying the message to the reader.
In my talk, I'll be walking you through the important pieces of Cleveland’s paper Graphical Perception and Graphical Methods for Analyzing Scientific Data, as well as sharing some good and bad visualizations from the real life and share the best practices of data visualization.
This talk was given in Papers We Love Berlin meetup on June 19th by Juha-Matti Santala
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