Vega-Lite API Template

Vega-Lite API Template

This example renders a scatterplot of individual-level data, plotting age against the number of convictions, using the Vega-Lite API. The visualization is built with the `vega-lite-api` library, which wraps Vega-Lite specifications in JavaScript, and relies on D3’s `csv` loader to fetch data from a GitHub gist. Circle marks are configured with size and opacity, and scales disable zero baselines for both axes. The chart’s appearance is customized through a config object, and the final SVG output is generated with Vega.

Llscholz1

83% match

Vega-Lite API Template

A scatterplot uses the Vega-Lite API to map time on the x-axis, location on the y-axis, and a quantitative color scale for data values. Circles are sized and colored from the dataset, with tooltips showing each point’s name. The visualization loads tab-separated data via `d3.tsv` from a GitHub gist and renders with an SVG view, using `vl.markCircle` and `vl.encode` to build the chart. Axis labels and titles are customized through a shared `config` object.

Ddavid-cv2

Vega-Lite API Template

This example renders a scatterplot of automobile data using the Vega-Lite API, with each circle representing a car model positioned by its country of origin and horsepower. The visualization shows overlapping points with low opacity to reveal density patterns. It loads data from a CSV file using d3.csv, constructs the mark and encoding specifications through vl.markCircle and vl.encode, then renders the final SVG using Vega charting libraries bundled with Vega-Tooltip. The code demonstrates a workflow that builds a Vega-Lite specification programmatically rather than writing JSON directly, minimizing boilerplate while retaining full expressiveness.

Vega-Lite API Template

This example uses the Vega-Lite API to render a scatterplot of automotive data from a CSV file, plotting engine horsepower against the origin of each vehicle. The visualization employs semi-transparent black circles to reveal overlapping points, with tooltips displaying car names on hover. The code registers Vega, Vega-Lite, and Vega-Tooltip libraries, fetches data via d3.csv, and applies a custom configuration for axis styling and label fonts. The chart dynamically fits the browser window using an autosize type of “fit” with padding.

Vega-Lite API Template

This example renders a scatter plot of daily weight measurements using the Vega-Lite API, with points sized uniformly and the y-axis scaled from zero for clearer trends. The visualization pulls data from a CSV file hosted as a Gist, originally sourced from the UCI Auto MPG dataset. Built with the vega-lite-api template, it uses d3.csv for data loading, Vega-Lite’s markCircle encoding for points, and Vega-Tooltip for interactive hover details. The display is configured via a custom config object that adjusts font sizes and axis styles, while the chart auto-fits to the window dimensions.

MMamveguh

Vega-Lite API Template

This visualization uses the Vega-Lite API to render a scatter plot of automotive data from a CSV file, showing engine displacement, horsepower, model year, and weight. Each circle represents a car, with position encoding displacement and horsepower, color encoding year, and size encoding weight. The code registers Vega, Vega-Lite, and the Vega-Lite API with tooltip support, loads data via `d3.csv`, and applies a custom config for axis and font styling. It demonstrates using `vl.markCircle`, `.encode`, and chaining methods to build an interactive chart programmatically.

AAmit Wadhwa

81% match

Vega-Lite API Template

This example showcases a scatter plot of automobile data, with each point representing a vehicle’s year and horsepower. It uses the Vega-Lite API to declaratively define the visualization, registering with Vega, Vega-Lite, and d3.csv for data loading. The plot is configured with custom axis styling and tooltips, rendered as an SVG that fills the window, and includes a semi-transparent point mark for overlapping data.

81% match

Vega-Lite API Template

This example demonstrates a scatterplot of automobile data from the auto-mpg CSV dataset, plotting horsepower against model year. Rendered as a static SVG via the Vega-Lite API, each circle is semi-transparent black, with a tooltip showing the car name on hover. The visualization is built programmatically using `vl.markCircle()`, `vl.x()`, and `vl.y()` encodings, with data loaded asynchronously via `d3.csv`. The chart fills the browser window and uses custom axis and label styling from a shared config object.