Fork of Vega-Lite API Template

100%

Fork of Vega-Lite API Template

✓ Published0🌍 Public

Last edited Jul 7, 2021

Created on Jul 2, 2021

This visualization presents a scatter plot of automotive data from the UCI Auto MPG dataset, graphing miles per gallon against horsepower. Each circle’s size encodes acceleration, while tooltips reveal the car’s name. The example demonstrates the Vega-Lite API workflow, using `vl.markCircle` with field encodings for quantitative axes and an opacity adjustment for overlapping points. The code builds the chart by processing CSV data via `d3.csv`, configuring axis styling through Vega-Lite’s `config`, and rendering with the vega-lite-api library alongside vega-tooltip for interactive hover details.

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 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 visualizes automobile data from the UCI Machine Learning Repository, displaying a scatter plot of miles per gallon against horsepower. Color encodes the car’s country of origin, while the size of each circular mark scales with weight, and tooltips reveal the vehicle name. It uses the Vega-Lite API to construct the chart declaratively, with the `vl.markCircle`, `vl.x().fieldQ`, and `vl.color().fieldN` functions. The code imports data via `d3.csv`, registers Vega-Lite with `vega-tooltip`, and renders the output as an SVG using the Vega view.

TThiago Sawada

94% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example uses the Vega-Lite API to create a scatter plot of automotive data from the UCI Machine Learning Repository’s Auto MPG dataset. It renders circles encoding horsepower, miles per gallon, origin, and weight, with tooltips showing car names. The visualization is built programmatically with `vl.markCircle` and `.encode`, powered by D3’s `csv` for data loading and Vega-Lite’s `config` for customized axis and label styling. A Vega Tooltip handler enables interactive hover details.

Rralphk11

94% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository, plotting miles per gallon against horsepower for individual cars. Each circle’s color encodes the car’s origin, while its size represents weight; hovering reveals the car’s name via a tooltip. The visualization is built using the Vega-Lite API, which composes a scatter plot with a circle mark and quantitative scales. It loads CSV data via d3.csv, renders with SVG through Vega-Lite’s view, and applies custom axis and label styling from a shared configuration object.

Ssofiamourap

94% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example renders a scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository, visualizing each car as a circle positioned by its miles per gallon and horsepower, colored by its region of origin, and sized by its weight. The visualization is constructed using the Vega-Lite API, with the `vl` object building a mark-circle encoding that maps data fields to x, y, color, and size channels. The underlying code registers Vega and Vega-Lite, fetches the data via d3’s `csv` function, and uses a custom config to style axis labels and titles.

NNYY

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 example presents a scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository, showing the relationship between miles per gallon, horsepower, weight, and origin. The visualization uses the Vega-Lite API with d3.csv for data loading, and configures an SVG renderer with a custom dark theme. It encodes x, y, color, size, and tooltip channels through the vl.markCircle and vl.encode methods, with vega-tooltip handling interactive hover details. The chart automatically resizes to fill the viewport.

Vvarmps

94% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example showcases a scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository, visualizing miles per gallon against horsepower. Points are colored by origin and scaled by weight, with tooltips revealing car names. The visualization is built using the Vega-Lite API’s `vl.markCircle` with encoding methods like `vl.x().fieldQ()` and `vl.color().fieldN()`. It loads data via `d3.csv`, configures axis styling in `config.js`, and integrates Vega-Tooltip for interactive hover details.

IIlia Katkovnik

94% match