Vega-Lite API Template

Vega-Lite API Template

This example visualizes automobile data from a CSV file, plotting engine displacement against horsepower as a scatter plot with points colored by model year, sized by vehicle weight, and displaying car names on tooltip. The visualization is built using the Vega-Lite API, which programmatically constructs a specification that is rendered as SVG through Vega and Vega-Lite. The data is loaded asynchronously via D3's `csv` function, and the chart includes visual customization through a custom config object that adjusts axis and label styling.

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Vega-Lite API Template

This example uses the Vega-Lite API to render a scatterplot of automotive data from a CSV file, plotting engine horsepower against the origin of each vehicle. The visualization employs semi-transparent black circles to reveal overlapping points, with tooltips displaying car names on hover. The code registers Vega, Vega-Lite, and Vega-Tooltip libraries, fetches data via d3.csv, and applies a custom configuration for axis styling and label fonts. The chart dynamically fits the browser window using an autosize type of “fit” with padding.

Vega-Lite API Template

This example demonstrates a scatter plot of automotive data, showing the relationship between engine displacement and horsepower for various car models, with tooltips revealing the car name for each point. Built with the Vega-Lite API, the visualization renders directly to SVG using the `vl` interface to define marks and encodings. The code registers Vega and Vega-Lite, loads data from a CSV file via `d3.csv`, and applies custom styling through a `config` object to improve readability.

Mmaxthamt

Vega-Lite API Template

This example demonstrates a scatter plot of automotive engine displacement versus horsepower, where each point represents a vehicle and tooltips reveal its model name. Built with the Vega-Lite API, it registers Vega and Vega-Lite through the `vl.register()` function and loads data from a CSV file of auto-mpg statistics using `d3.csv`. The visualization uses `vl.markPoint()` with configurable opacity and axis styling, rendered as an SVG that scales to fit the browser window via `autosize({ type: 'fit' })`.

Vega-Lite API Template

This example demonstrates a scatter plot of automotive data, mapping engine displacement to horsepower with circle color encoding model year and size encoding vehicle weight. Tooltips reveal car names on hover. It is built using the Vega-Lite API, a programmatic wrapper for the Vega-Lite grammar, with data loaded from a CSV via D3's `csv` function and rendered as SVG through the bundled Vega and Vega-Lite libraries. The visualization spans the full viewport and applies custom axis and label styling.

AAlice Hua

Vega-Lite API Template

This example displays a scatter plot of automobile data, showing the relationship between engine displacement and horsepower, with tooltips revealing the car model name. Built with the Vega-Lite API, the visualization loads data from a CSV using `d3.csv` and renders through the `vega` and `vega-lite` libraries. Point marks are configured with a fill, a fixed size, and reduced opacity, while axis styling is customized via a config object. The chart's dimensions adapt to the window size, and interactive tooltips are enabled using `vega-tooltip`.

Rrandom-program

Vega-Lite API Template

This example demonstrates a Vega-Lite API template for creating a scatterplot visualization. It plots engine displacement against horsepower, with point size encoding the count of cars at each binned coordinate pair. The visualization uses the `vega-lite-api` library to programmatically build the specification, fetching automobile data from a CSV file via `d3.csv`. The rendered chart incorporates a custom config for axis styling and tooltips via `vega-tooltip`, and automatically fits to the window dimensions.