Fork of Vega-Lite API Template

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

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

Fork of Vega-Lite API Template

This example uses the Vega-Lite API to build an interactive scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository, sourced via a Gist. The visualization encodes miles per gallon on the x-axis, horsepower on the y-axis, and colors points by origin, while point size reflects vehicle weight. It renders as a full-window SVG using the vega-lite-api library, with tooltips generated through vega-tooltip. Custom configuration in config.js adjusts axis and label styling for readability. The code loads data asynchronously via d3.csv, applies a dark theme, and fits the chart to the viewport dimensions.

MMatt Woods

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

Fork of Vega-Lite API Template

This example uses the Vega-Lite API to render a scatter plot of Auto MPG data from the UCI Machine Learning Repository, sourced via a Gist CSV. The visualization encodes miles per gallon on the x-axis, horsepower on the y-axis, colors points by origin, scales size by weight, and adds tooltips for vehicle names. It registers Vega, Vega-Lite, and the vega-lite-api library, then loads the data with d3.csv, applies a custom dark-themed config for axis styling, and fits the chart to the window dimensions.

SShaneBowen1

Fork of Vega-Lite API Template

This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository as a scatter plot, encoding miles per gallon on the x-axis, horsepower on the y-axis, and vehicle origin as color, with point size reflecting weight. It uses the Vega-Lite API to declare the chart specification programmatically, registering it with Vega and Vega-Lite for rendering in SVG. The code also imports the dataset via d3.csv, applies custom axis and label styling through a config object, and enables interactive tooltips using the vega-tooltip Handler. The visualization auto-fits to the browser window dimensions.

Vvvs1680

Fork of Vega-Lite API Template

This example shows a scatter plot of auto MPG data, encoding miles per gallon on the x-axis, horsepower on the y-axis, and using color for the car’s origin and size for weight, with tooltips revealing car names. The visualization is built with the Vega-Lite API, which compiles specifications to Vega, and rendered via D3 v5. It loads CSV data from the UCI Machine Learning Repository and customizes axis and label styling through a configuration object.

Ddimanya

Fork of Vega-Lite API Template

This example shows a scatter plot of auto-mpg data from the UCI Machine Learning Repository, plotting miles per gallon against horsepower with points colored by origin and sized by weight. The visualization is built using the Vega-Lite API, which registers Vega and Vega-Lite libraries and renders to SVG. Data is loaded asynchronously via d3.csv, and the chart encodes tooltips for vehicle names. The code customizes axis and font styles through a config file, demonstrating programmatic chart creation with the vega-lite-api wrapper.

Hhbatteram