Fork of Vega-Lite API Template

100%

Fork of Vega-Lite API Template

✓ Published0🌍 Public

Last edited Feb 26, 2021

Created on Feb 25, 2021

This example uses the Vega-Lite API to render an interactive scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository, displaying vehicle weight against horsepower with points colored by origin and sized by weight. A tooltip reveals the car’s name on hover. The code builds the visualization declaratively via `vl.markCircle`, `vl.encode`, and field mappings, then registers Vega-Lite with vega and vega-lite-api, using d3’s `csv` loader for data retrieval and custom configuration for styling axes and labels.

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 and D3 to render an interactive scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository. The visualization shows miles per gallon against horsepower, with color encoding for origin and point size representing vehicle weight. Hovering over a point reveals the car’s name via a tooltip. The code constructs the chart declaratively with `vl` from vega-lite-api, loads data using `d3.csv`, and renders to SVG with vega-lite and vega-tooltip.

Rrmgoldberg24

97% 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. The visualization maps miles per gallon to the x-axis, horsepower to the y-axis, and encodes origin as color while weight drives circle size. Tooltips display car names on hover. The code registers Vega, Vega-Lite, and Vega-Tooltip through `vl.register`, then loads CSV data asynchronously with `d3.csv`. Rendering uses a fit-to-window SVG view with custom axis and label styling from a shared config object.

CCaleb Crum

96% 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. It visualizes vehicle horsepower against miles per gallon, with circle size encoding weight and color representing country of origin via a quantitative size encoding and a nominal color field. The visualization is built using the `vega-lite-api` library, which programmatically constructs the plot through chained method calls like `vl.x()`, `vl.y()`, and `vl.color()`, with data loaded via d3’s `csv` function. The code registers Vega-Lite and Vega-Tooltip for rendering and interactive tooltips, while a custom configuration adjusts axis styling for readability.

Ccynobill

96% 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

96% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository, plotting vehicle weight against horsepower with points colored by origin and sized by miles per gallon. Built with the Vega-Lite API, it renders an interactive scatter plot using d3.csv for data loading and Vega-Lite’s markCircle encoding for graphical marks. The visualization uses a custom configuration to adjust axis styling, font sizes, and tooltip appearance, all rendered as SVG with dynamic width and height based on the viewport.

AAlex Gomes

96% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example uses the Vega-Lite API to create a scatter plot of the Auto MPG Data Set from the UCI Machine Learning Repository, loaded via D3’s `csv` function. The visualization renders circles encoding weight on the x-axis, horsepower on the y-axis, and a color scale for weight, with a tooltip displaying vehicle names. It demonstrates the declarative `vl` API, combining `markCircle`, `encode`, and configurable axes, while leveraging Vega, Vega-Lite, and Vega-Tooltip for interactive rendering. The chart fills the window and adapts to its size.

MManon ROMAIN

96% 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 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

95% match