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This example uses the Vega-Lite API to construct a scatter plot of historic automobile data from the UCI Machine Learning Repository’s Auto MPG dataset. The visualization encodes miles per gallon on the x-axis, horsepower on the y-axis, and uses circle color to distinguish the car’s region of origin, with weight mapped to point size and a tooltip revealing the model name. It loads CSV data via `d3.csv` and relies on vega, vega-lite, and vega-lite-api to render the chart, while vega-tooltip adds interactive pop-ups.
AI-generated descriptionA visualization constructed using the vega-lite-api.
The data shown here comes from the UCI Machine Learning Repository: Auto MPG Data Set, via Gist: Scatter Plot with Menus.
MIT Licensed