Vega-Lite API Template

Vega-Lite API Template

This example displays a scatter plot of auto-mpg data, encoding horsepower, weight, and origin. A circle mark uses quantitative axes for mpg and horsepower, color by origin, and size by weight. It features a tooltip for vehicle names. Built with the Vega-Lite API, it renders an SVG chart using vega-lite-api, vega, vega-lite, and d3.csv, with custom styling via a config object. The data comes from the UCI Machine Learning Repository Auto MPG dataset, loaded asynchronously and displayed with interactive tooltips.

CCurran Kelleher

Vega-Lite API Template

This example uses the Vega-Lite API to create an interactive scatter plot of the UCI Auto MPG dataset, mapping miles per gallon, horsepower, weight, and origin to the x-axis, y-axis, size, and color channels respectively. The visualization is rendered in SVG via Vega and Vega-Lite, with a tooltip showing car names. The code registers the vega-lite-api with a custom tooltip handler, loads data asynchronously using d3.csv, and applies a shared config for axis and label styling. The chart fits the full window and uses a dark color scheme.

Rrobin88824

Vega-Lite API Template

This example uses the Vega-Lite API to render an interactive scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository. It maps miles per gallon on the x-axis, horsepower on the y-axis, vehicle origin to color, and weight to point size, with tooltips showing car names. The visualization is built programmatically via `vl.markCircle` and `vl.encode` methods, then rendered as SVG using the Vega and Vega-Lite libraries with a custom config for larger fonts and a dark color scheme. Data is loaded asynchronously using `d3.csv` from a remote gist.

Hhuashe418

Vega-Lite API Template

This example visualizes automobile data from the UCI Machine Learning Repository’s Auto MPG dataset, plotting origin on the x-axis, horsepower on the y-axis, and encoding mpg as circle size with tooltips showing car names. Built with the Vega-Lite API, it registers vega, vega-lite, and vega-tooltip in index.js, loads CSV data via d3.csv, and renders an interactive SVG chart configured with custom axis and label styling from config.js. The visualization updates dynamically to fit the browser window.

JJohn Lewis

Vega-Lite API Template

This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository as a scatter plot, mapping miles per gallon, horsepower, origin, weight, and car name to the x-axis, y-axis, color, size, and tooltip channels. It uses the Vega-Lite API to construct the specification programmatically, with Vega and Vega-Lite for rendering and Vega-Tooltip for interactive hover details. Data is loaded via d3.csv, and the chart fills the browser window with a custom configuration for font sizes and axis styling.

AAmine HAMOU

Vega-Lite API Template

This example uses the Vega-Lite API to render a scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository. The plot maps vehicle weight to the x-axis and horsepower to the y-axis, with point size representing miles per gallon and color encoding weight. The visualization loads data via `d3.csv` and uses the `vl.markCircle` and `vl.encode` API to define the marks and channels. Vega-Lite and Vega are registered through the `vl.register` function, and interactivity is added with `vega-tooltip`.

CCyc-Evelyn

Fork of Vega-Lite API Template

This example uses the Vega-Lite API to render an interactive scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository. The visualization maps miles per gallon on the x-axis, horsepower on the y-axis, and encodes the car’s origin in color and weight in point size, with tooltips showing the vehicle name. Built with d3.csv for data loading and vega-tooltip for hover details, all marks are drawn as circles with opacity. The chart’s appearance is customized via a Vega-Lite config object, adjusting axis styles and typography for readability.

CCheng Tang

Vega-Lite API Template

This example demonstrates a scatter plot of auto MPG data, showing miles per gallon versus horsepower, with points colored by origin and sized by vehicle weight. The visualization is built using the Vega-Lite API, which is registered with Vega and Vega-Lite, and rendered as SVG. Data is loaded via d3.csv from a Gist hosting the UCI Machine Learning Repository’s Auto MPG dataset. Interactive tooltips display car names, with layout and axis styling configured through a custom config object.

CCeciliaW888