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.

95% match

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

95% match

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 visualizes automobile data from a CSV file, plotting engine displacement against horsepower with point color encoding model year and point size encoding weight. Tooltips expose the vehicle name. It uses the Vega-Lite API to construct the specification, registering Vega, Vega-Lite, and Vega-Tooltip within a D3-based application, rendering to SVG. Data is loaded asynchronously via d3.csv, and the visualization is sized to fit the browser window.

Ddavid-cv2

Vega-Lite API Template

This example demonstrates a scatter plot of automobile data from the auto-mpg dataset, showing the relationship between engine displacement and horsepower, with tooltips displaying car names. The visualization is built programmatically using the Vega-Lite API, which registers Vega and Vega-Lite libraries to create a lightweight, declarative chart specification. Data is loaded asynchronously via d3.csv, while the layout adapts to the full viewport with custom axis styling and opacity-adjusted point marks for readability. The result renders as scalable SVG through the Vega view engine.

Ddev-ignacio-h

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 visualizes automobile performance data from a CSV file, plotting engine displacement against horsepower with circles colored by origin and sized by weight. Tooltips reveal car names on hover. The visualization is built using the Vega-Lite API, which registers Vega and Vega-Lite libraries, loads data with d3.csv, and renders an SVG chart configured with custom axis styling and a dark color scheme. The code demonstrates programmatic chart construction through vl.markCircle and vl.encode methods.

Vega-Lite API Template

This example shows a scatter plot of automotive data, mapping engine horsepower against fuel efficiency (mpg), with points colored by country of origin and tooltips revealing car model names. It uses the Vega-Lite API to declaratively construct the visualization, while D3’s `csv` method loads the auto-mpg dataset. The vega-lite-api library registers vega and vega-lite, and the chart is rendered into an SVG via a vega view with tooltip support from vega-tooltip. The code customizes axis styles and appearance through a config object.