Visualization at @databricks. Co-author of Vega-Lite, Voyager, and TensorFlow Graph Visualizer. Formerly @uwdata and @apple. Views are my own.
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ALT Photo of projected slide deck awarding the 10 year Test of Time Award for the IEEE VAST 2012 paper “Enterprise Data Analysis and Visualization: An Interview Study”
ALT The top of the "Charting data" patterns page. Headline is: "Presenting data in a chart can help you communicate information with clarity and appeal."
ALT A screenshot of the "Best Practices" section of the "Charting data" page. There's a list of guidelines, the first being: "Use a chart when you want to highlight important information about a dataset."
ALT The top of the "Charts" components page. The headline is "A chart helps you communicate data in a graphical, approachable way."
ALT A screenshot of the "Anatomy" section of the "Charts" components page. It's headlined by a graphic that points out the various parts of an anonymous bar chart, including marks, axes, grid lines, plot area, and more.
![The script: `cat ~/downloads/cars.json | jq '{data: ., hconcat: [{width: 600, height: 500, mark: "point" , encoding: {color: {field: "Origin"}, y: {field: "Miles_per_Gallon", type: "Q"}, x: {field: "Weight_in_lbs", type: "Q"}}}, {width: 600, height: 500, mark: "bar", encoding: {x: {field: " Origin"}, y: {field: "Miles_per_Gallon", type: "Q", aggregate: "average"}}}]}' | vl | ivega` and some corresponding charts output in the terminal.](https://pbs.twimg.com/media/FRdVzdiWQAA8u8Y.jpg?name=orig)
ALT The script: `cat ~/downloads/cars.json | jq '{data: ., hconcat: [{width: 600, height: 500, mark: "point" , encoding: {color: {field: "Origin"}, y: {field: "Miles_per_Gallon", type: "Q"}, x: {field: "Weight_in_lbs", type: "Q"}}}, {width: 600, height: 500, mark: "bar", encoding: {x: {field: " Origin"}, y: {field: "Miles_per_Gallon", type: "Q", aggregate: "average"}}}]}' | vl | ivega` and some corresponding charts output in the terminal.
