Fork of Vega-Lite API Template

100%

Fork of Vega-Lite API Template

✓ Published1🌍 Public

Last edited Oct 3, 2021

Created on Sep 24, 2021

This example uses the Vega-Lite API to create a scatter plot of automobile data from the UCI Auto MPG dataset, loaded via `d3.csv`. The visualization encodes the vehicle’s country of origin on the x-axis and horsepower on the y-axis, with each point representing a car model and a tooltip showing its name. The plot uses a semi-transparent circle mark to emphasize overlapping points and is rendered on a full-window canvas via `vega-lite-api` with a custom dark-themed configuration for improved readability.

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 uses the Vega-Lite API to render an interactive scatter plot of automobile data from the UCI Machine Learning Repository’s Auto MPG dataset. It displays miles per gallon on the x-axis, horsepower on the y-axis, with color encoding by origin and size encoding by weight, plus tooltips for car names. The visualization fetches data via `d3.csv` and renders using `vega`, `vega-lite`, and `vega-lite-api`, with a custom config for axis styling and a Vega Tooltip handler. The chart is fit to the full window size.

JJessica Tucker

94% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example demonstrates a scatter plot of automobile data from the UCI Machine Learning Repository, visualizing horsepower against country of origin with points sized by a fixed constant. The code builds the visualization programmatically using the Vega-Lite API, registering Vega and Vega-Lite libraries with vega-tooltip for interactivity. Data is loaded asynchronously via `d3.csv`, and the chart is configured with custom styling for improved readability, rendering as a full-window SVG fit to the viewport.

MMareno Demmers

94% match

Loading thumbnail…

Fork of Vega-Lite API Template

This visualization uses the Vega-Lite API to render a scatter plot of automotive data from the UCI Auto MPG dataset, loaded via d3.csv. The active chart displays vehicle origin on the x-axis and horsepower on the y-axis, with large translucent circular marks and tooltips showing car names. The code registers Vega-Lite with vega, vega-lite-api, and vega-tooltip, and applies custom axis and label styling from a config object. The visualization is responsive, fitting the full browser window.

MMyGitUserName-dh

94% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example uses the Vega-Lite API with D3 to render a scatterplot of automobile data from a CSV file. The visualization encodes origin as the x-axis, horsepower as the y-axis, weight as color, and mpg as point size, with tooltips showing car names. It applies custom axis and label styling via the Vega-Lite config, and uses the vega-tooltip handler for interactive hover details. The chart is rendered as an SVG that fits the full window using the vega-lite-api’s `render()` method.

Llatifiss

94% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example uses the Vega-Lite API to construct an interactive scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository. The plot displays each car as a circle, with its position determined by miles per gallon and horsepower, while color encodes the country of origin and size reflects vehicle weight. The visualization is built using the vega-lite-api library, which registers Vega and Vega-Lite specifications, and includes tooltips via vega-tooltip. Data is loaded through d3.csv, and the chart resizes to fit the browser window.

RRahel Gunaratne

94% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example uses the Vega-Lite API to render an interactive scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository. The visualization maps miles per gallon on the x-axis, horsepower on the y-axis, and encodes the car’s origin in color and weight in point size, with tooltips showing the vehicle name. Built with d3.csv for data loading and vega-tooltip for hover details, all marks are drawn as circles with opacity. The chart’s appearance is customized via a Vega-Lite config object, adjusting axis styles and typography for readability.

CCheng Tang

94% match

Loading thumbnail…

Fork of Vega-Lite API Template

This visualization uses the Vega-Lite API with D3 to render a scatterplot of automobile data from the auto-mpg CSV dataset. It plots horsepower against origin, with each point sized and colored by its country of origin, and includes tooltips showing vehicle names. The code registers Vega-Lite with Vega and D3, loads data via d3.csv, and configures axes and label styling for improved readability. The plot fills the entire browser window, with rendering handled through Vega’s SVG view and interactivity powered by vega-tooltip.

Nnncis

94% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example uses the Vega-Lite API to create an interactive scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository. Each circle represents a vehicle, with horsepower on the y-axis, miles per gallon on the x-axis, weight mapped to circle size, and origin mapped to color. Tooltips reveal each car’s name. The code registers Vega-Lite with D3.js v5 for data loading via `d3.csv`, and customizes axis and label styling through a config object.

UUdoekpo Stephen

94% match