Vega-Lite API Template

Vega-Lite API Template

This example demonstrates a scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository, visualizing the relationship between fuel efficiency (miles per gallon) and horsepower. Points are colored by region of origin, sized by vehicle weight, and include tooltips showing model names. The visualization is built using the Vega-Lite API, which programmatically constructs a Vega-Lite specification, then renders it with Vega 5 and D3 v5 for SVG output. Custom configuration and a Vega Tooltip handler enhance readability, while the chart automatically fits the viewport dimensions.

Rrvdv

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 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

Vega-Lite API Template

This example presents a scatter plot of automobile data from the UCI Machine Learning Repository’s Auto MPG dataset, showing relationships between miles per gallon, horsepower, weight, and country of origin. The visualization is built using the Vega-Lite API (`vl.markCircle`, `vl.encode`) in a JavaScript framework, with data loading handled by `d3.csv` from D3 v7. The code registers Vega-Lite and Vega, applies custom axis styling from `config.js`, and renders a responsive SVG chart that fills the browser window with tooltips enabled via the Vega Tooltip handler.

OOleg Zhernovoy

Vega-Lite API Template

This example demonstrates a scatter plot of automobile data from the UCI Machine Learning Repository, showing relationships between weight, horsepower, miles per gallon, and country of origin. It uses the Vega-Lite API to declaratively encode these quantitative and categorical fields with circular marks, including tooltips for car names. The code integrates Vega, Vega-Lite, Vega-Lite API, and Vega-Tooltip libraries alongside D3 for CSV data loading, with custom configuration for axis styling and responsive sizing.

BBrittany Harden

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 automobile data from the UCI Machine Learning Repository’s Auto MPG dataset, plotting horsepower against miles per gallon. Points are colored by origin and sized by vehicle weight, with tooltips revealing model names. The visualization uses the Vega-Lite API, a JavaScript wrapper for Vega-Lite specifications, registered with Vega and Vega-Lite libraries, plus D3’s `csv` loader for data ingestion. Rendering occurs as an SVG via the `markCircle` and `encode` API methods, with custom axis styling from a config object.

Jjuanmy400

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