Fork of Vega-Lite API Template

100%

Fork of Vega-Lite API Template

✓ Published0🌍 Public

Last edited Jul 6, 2021

Created on Jul 6, 2021

This example visualizes the Auto MPG dataset using a scatter plot where each point represents a car, with engine displacement on the x-axis, horsepower on the y-axis, color encoding the country of origin, and point size representing vehicle weight. Hovering reveals the car’s name via tooltips. The visualization is built entirely with the Vega-Lite API, using the `vl.markCircle` and `vl.encode` methods to define the marks and channels. Data loading relies on `d3.csv`, while rendering is handled by Vega and Vega-Lite’s runtime, with custom axis styling configured through a dedicated config object.

AI-generated description

A visualization constructed using the vega-lite-api.

The data shown here comes from the UCI Machine Learning Repository: Auto MPG Data Set, via Gist: Scatter Plot with Menus.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Vega-Lite API Template

This example visualizes the Auto MPG dataset with an interactive scatter plot, mapping miles per gallon on the x-axis and horsepower on the y-axis. Circle size encodes vehicle weight, while color distinguishes the region of origin, and hovering reveals the car name via a tooltip. The visualization is built using the Vega-Lite API, which registers Vega and Vega-Lite libraries, and loads CSV data with D3’s `csv` function. Custom styling configures dark axis labels and a large font size for readability, with the chart automatically fitting the full viewport.

DDustin Brunner

95% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example uses the Vega-Lite API to render a scatter plot of the Auto MPG dataset, showing the relationship between miles per gallon and horsepower for various car models. Points are colored by origin and sized by weight, with tooltips revealing the car name. The visualization is created programmatically using `vl.markCircle` and `vl.encode`, with data loaded via D3’s `csv` function. The view is fitted to the window size and styled using custom Vega-Lite configuration, relying on the Vega, Vega-Lite, and Vega-Tooltip libraries.

MMohammad jahangir alam

95% match

Loading thumbnail…

Fork of 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 visualization encodes miles per gallon on the x-axis, horsepower on the y-axis, and uses both color (by origin) and size (by weight) as additional dimensions. Built with the vega-lite-api library version 0.1.0, it registers Vega and Vega-Lite, and includes a tooltip handler from vega-tooltip to display car names. The code uses `vl.markCircle`, `vl.x().fieldQ('mpg')`, and `vl.y().fieldQ('horsepower')` for the encoding, with data loaded asynchronously via d3’s `csv` function.

DDor Peled

95% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example presents an interactive scatter plot of the Auto MPG dataset, using circle marks to show the relationship between miles per gallon and horsepower. Point color encodes the country of origin, while size maps to vehicle weight. Built with the Vega-Lite API, the visualization loads data via D3’s `csv` function and renders to SVG. The code configures the chart’s dimensions and appearance through a custom config object, and tooltips are enabled via the Vega Tooltip handler.

Ggzm17

95% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository. A scatter plot maps miles per gallon and horsepower, with each point’s size encoding vehicle weight and color distinguishing country of origin. Hovering reveals the car’s name via a tooltip. Built with the Vega-Lite API in a D3.js framework, the code uses `vl.markCircle` and `vl.encode` to construct the visualization, with `d3.csv` fetching the data and `vega-tooltip` providing interactivity.

RRobin

95% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository, plotting each car as a circle with engine horsepower on the y-axis and miles per gallon on the x-axis. Color encodes the country of origin, while circle size represents vehicle weight, and hovering reveals the car’s name via a tooltip. Built with the Vega-Lite API, the visualization registers Vega and Vega-Lite, loads data asynchronously using d3.csv, and renders an interactive SVG chart that resizes to fit the viewport. The code also applies custom axis and label styling through a configuration object.

RRoland

95% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example displays a scatter plot of auto-mpg data, where each point represents a car, with engine displacement on the x-axis, horsepower on the y-axis, and color encoding the country of origin. The point size is also encoded by the vehicle’s weight, with tooltips revealing the car’s name on hover. The visualization is built using the Vega-Lite API, which constructs a Vega-Lite specification programmatically, and is rendered with Vega’s SVG renderer. Data is loaded asynchronously from the UCI Machine Learning Repository via D3’s `csv` function, and the tooltip interaction is handled through `vega-tooltip`’s `Handler`.

MMuhammadAaqib137

95% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository, showing the relationship between miles per gallon and horsepower, with additional encodings for origin (color) and weight (size). The plot uses a scatter plot with semi-transparent circles, presenting data as points with tooltips displaying car names. The visualization is built using the vega-lite-api library, which wraps Vega-Lite specifications, with the `vl.markCircle` method configuring the marks and `vl.x()`/`vl.y()` for quantitative scales. Data is loaded asynchronously via `d3.csv`, and the final render uses Vega’s SVG output with a custom tooltip handler.

SSong Tao Chen

95% match