11-Vega-Lite API Template

Vega-Lite API Template

This interactive scatter plot visualizes automotive data from the UCI Machine Learning Repository, showing the relationship between fuel efficiency (mpg) and horsepower while encoding car origin by color and weight by circle size. Hovering reveals the vehicle name via tooltips. Built with the Vega-Lite API, the visualization chains declarative specifications programmatically, registering Vega-Lite and Vega with the vega-lite-api library. The code customizes axis styling through a shared config object, loads data via d3.csv, and renders to an SVG using Vega’s renderer with automatic window sizing.

GGang Chen

Vega-Lite API Template

This visualization displays automobile data from the auto-mpg CSV file, plotting engine displacement against horsepower. Each point represents a vehicle, colored by its country of origin, with hover tooltips revealing the model name. The example demonstrates the vega-lite-api, which builds Vega-Lite specifications through a fluent JavaScript interface. It uses d3.csv for data loading, Vega-Lite's markPoint encoding, and integrates vega-tooltip for interactive labels. The visualization automatically resizes to fit the browser window, with custom axis styling and dark-themed labels.

GGnav3852

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 Cars

This visualization displays automobile performance data from the UCI Auto MPG dataset, plotting acceleration against horsepower while encoding weight through circle size and origin as color. Hovering reveals vehicle names via tooltips. The code uses the Vega-Lite API to construct the scatter plot declaratively, with D3’s `csv` loader fetching the remote dataset, and renders through Vega’s SVG output. Custom axis and label styling come from a shared config object.

Ddrc6587

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 automobile fuel efficiency and performance data from the UCI Auto MPG dataset, plotting horsepower against miles per gallon with circle size encoding vehicle weight and color encoding country of origin. The visualization is built programmatically using the Vega-Lite API, which registers Vega and Vega-Lite libraries, configures a tooltip handler, and loads CSV data via d3.csv. It generates an interactive SVG scatter plot with custom axis styling, and the view auto-fits to the browser window dimensions.

EEFezerKW

Vega-Lite API Template

This example visualizes automotive data from an auto-mpg CSV dataset, plotting engine weight against horsepower with circles colored by origin and sized by miles per gallon. The code constructs the visualization using the Vega-Lite API, registering it with vega and vega-lite, and rendering as SVG via d3.dsv. A custom configuration adjusts axis labels and tick styling for readability, while d3.csv loads the remote dataset. Tooltips display car model names on hover using vega-tooltip.

PPUUDI

Vega-Lite API Template

This example shows a scatter plot of auto-mpg data, mapping miles per gallon against horsepower, with color encoding for country of origin and point size for vehicle weight. Tooltips reveal car names on hover. The visualization is built using the vega-lite-api library, which wraps Vega-Lite specifications programmatically, with data loaded via d3.csv from the UCI Machine Learning Repository. It renders as an SVG through Vega, with a custom configuration for axis styling and tooltip interactions.

CCees Klap