Vega-Lite API Template

Vega-Lite API

This example demonstrates a scatterplot of automotive data, mapping the country of origin along the x-axis, horsepower on the y-axis, with weight mapped to color and miles per gallon mapped to point size. Built with the Vega-Lite API, it constructs the visualization declaratively using `vl.markCircle()`, `vl.x()`, `vl.y()`, `vl.color()`, and `vl.size()`. The chart loads data from a CSV via D3’s `csv()` and uses the Vega-Lite runtime to render interactively with tooltips.

Bboreilly26

Vega-Lite API Template

This example presents a scatter plot of automobile data from the UCI Machine Learning Repository’s Auto MPG dataset, showing relationships between miles per gallon, horsepower, weight, and country of origin. The visualization is built using the Vega-Lite API (`vl.markCircle`, `vl.encode`) in a JavaScript framework, with data loading handled by `d3.csv` from D3 v7. The code registers Vega-Lite and Vega, applies custom axis styling from `config.js`, and renders a responsive SVG chart that fills the browser window with tooltips enabled via the Vega Tooltip handler.

OOleg Zhernovoy

Vega-Lite API Template

This example demonstrates a scatter plot of automotive data, showing the relationship between miles per gallon and horsepower, with points colored by country of origin. Built with the Vega-Lite API wrapper for JavaScript, it composes visualizations programmatically using methods like `vl.markPoint()`, `vl.x()`, `vl.y()`, and `vl.color()`. The code loads CSV data via `d3.csv`, applies a custom configuration for axis styling, and renders an interactive SVG view with tooltips through vega-tooltip.

SSam

Vega-Lite API Template

This example demonstrates how to use the Vega-Lite API to build a scatter plot of automobile data, showing the relationship between weight, horsepower, and fuel efficiency (mpg), with points colored by country of origin. The visualization leverages the vega-lite-api JavaScript library to construct the chart declaratively, then renders it using Vega and Vega-Lite with an SVG output. Data is loaded asynchronously from a CSV file using D3’s `csv` function. Custom styling is applied through a config object to adjust axis labels, fonts, and colors for improved readability.

MMGamboa

Template Vega-Lite Api

This example demonstrates a scatter plot of automobile data, mapping miles per gallon, horsepower, weight, and origin using the Vega-Lite API. It shows how to declaratively build interactive visualizations with circle marks, color encoding, and tooltips. The code registers Vega, Vega-Lite, and vega-tooltip via `vl.register`, loads CSV data from a gist using d3.csv, and renders to an SVG view that fits the window. Appearance is customized with a configuration object, and the visualization auto-sizes with padding.

AAlan Santos

Vega-Lite API Template

This example demonstrates a scatter plot of automobile data from the UCI Machine Learning Repository, showing relationships between weight, horsepower, miles per gallon, and country of origin. It uses the Vega-Lite API to declaratively encode these quantitative and categorical fields with circular marks, including tooltips for car names. The code integrates Vega, Vega-Lite, Vega-Lite API, and Vega-Tooltip libraries alongside D3 for CSV data loading, with custom configuration for axis styling and responsive sizing.

BBrittany Harden

Vega-Lite API Template

This example demonstrates a scatterplot visualization of automobile data, plotting weight against horsepower for various car models. Each point is colored by country of origin and sized by miles per gallon. The visualization is built using the Vega-Lite API, a programmatic interface to Vega-Lite, which leverages the Vega rendering engine. The code imports data from a CSV file, configures axis styles and tooltips, and uses the vega-tooltip library to display car names on hover.

AALI Akbar SABZI

Vega-Lite API Template

This example demonstrates a scatter plot of automobile data, showing the relationship between horsepower and country of origin, with tooltips revealing car names. The visualization is built using the Vega-Lite API, which programmatically constructs a Vega-Lite specification through method chaining (e.g., `vl.markPoint`, `vl.x().fieldN`). The code registers Vega, Vega-Lite, and the Vega-Lite API in a D3 v5 environment, fetches CSV data via `d3.csv`, applies custom axis and label styling from a separate config module, and renders to SVG with an interactive tooltip handler from Vega-Tooltip.

PPriteshlip10