Fork of Vega-Lite API Template

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

Iiffath.namira@csedge.org

Fork of Vega-Lite API Template

This example uses the Vega-Lite API with D3 to create a scatter plot of auto-mpg data, plotting engine displacement against horsepower. Each point is a semi-transparent circle colored uniformly, with tooltips displaying the vehicle name. The visualization reads CSV data from a GitHub gist via D3’s `csv` function, and configures axes and label styling. It renders an SVG chart that fills the window using Vega-Lite’s `.width()` and `.height()` methods, with a custom tooltip handler from Vega-Tooltip.

Fork of Vega-Lite API Template

This example uses the Vega-Lite API to render a scatter plot of automobile data from a CSV file, plotting engine displacement against horsepower with a tooltip that displays the car name. The code registers Vega, Vega-Lite, and Vega-Lite API with a tooltip handler, loads the data via d3.csv, and applies custom styling through a config object. It demonstrates a programmatic workflow where the chart specification, data loading, and rendering are separated across modules, culminating in a full-screen, interactive visualization.

Aaymen0023

Fork of Vega-Lite API Template

This example uses the vega-lite-api to render a scatter plot of automobile data, showing the relationship between engine displacement and horsepower, with tooltips displaying vehicle names. The visualization loads data from a CSV file using `d3.csv`, applies a custom dark theme through a Vega-Lite config object, and fills the viewport by setting chart width and height to the browser window dimensions. Interactive tooltips are enabled through vega-tooltip's `Handler`, and the chart renders as an SVG using D3 v5.

Ggatperdut

Fork of Vega-Lite API Template

This example displays a scatterplot-like visualization of user data, with points positioned along categorical axes for country and status, using an arc mark with a fill and low opacity. The visualization is built with the Vega-Lite API, which is registered with Vega and Vega-Lite, and uses a tooltip handler for interaction. Data is fetched asynchronously via D3's `json` function from a local server endpoint, and the chart is configured with custom axis styles and dark label colors.

VVahe Abovyan

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 an interactive 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, with color representing the origin of the car, and point size mapped to vehicle weight. Tooltips display the car model name on hover. The code explicitly registers Vega, Vega-Lite, and Vega-Tooltip, then asynchronously loads CSV data via `d3.csv`, applies a custom `config` for axis labels and styling, and renders a full-window SVG using `vl.mar` with size and opacity encodings.

Ttim10133222

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