Skip to main content
SimilarExport ZIP
100%

Fork of Vega-Lite API Template

✓ Published0🌍 Public
AAnthony Zornig
Last edited Oct 2, 2021
Created on Oct 2, 2021

This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository, plotting array values against props4 as bar marks with a tooltip showing props2. Built with the Vega-Lite API, it registers Vega and Vega-Lite libraries, configures axis styling with dark labels and yellow ticks, and uses D3’s csv loader to fetch remote data. The visualization renders full-window with SVG output, enabling interactive tooltips via Vega-Tooltip.

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 visualizes the Auto MPG dataset from the UCI Machine Learning Repository, showing acceleration, horsepower, and weight as area marks with tooltips displaying car names. It uses the Vega-Lite API (vl) to define the visualization declaratively, with D3’s csv loader fetching the data. The code registers vega, vega-lite, and vega-lite-api, and uses vega-tooltip’s Handler for interactive tooltips. Styling is customized via a config object, and the chart is sized to fit the window, with rendering done in SVG.

Pplusbeauxjours
91% match
Loading thumbnail…

Fork of Vega-Lite API Template

This example uses the Vega-Lite API to display Auto MPG data from the UCI Machine Learning Repository, plotting horsepower against miles per gallon with circle marks. Each circle’s size encodes weight, while color groups vehicles by origin, and hovering reveals car names via tooltips. The code registers Vega, Vega-Lite, and the Vega-Lite API, renders SVG output, and uses a custom config to style axes and labels. Data is fetched asynchronously with d3.csv, and the visualization adapts to the window dimensions.

NNioh
91% match
Loading thumbnail…

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
90% match
Loading thumbnail…

Fork of Vega-Lite API Template

This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository, plotting miles per gallon against horsepower with points colored by origin and sized by vehicle weight. Tooltips display car names on hover. The visualization is built using the Vega-Lite API and rendered through D3.js, with data loaded via D3’s `csv` function. The chart is created programmatically using `vl.markCircle` with encodings for quantitative and nominal fields, and includes custom configuration for axis styles and text formatting.

Aantanta28
90% match
Loading thumbnail…

Fork of Vega-Lite API Template

This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository, plotting engine displacement 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 an SVG chart via the vega-tooltip handler for interactive tooltips. Data is loaded asynchronously with d3.csv from a Gist, while the chart encodes quantitative fields for axes and sizes. The code also applies a custom configuration for axis styling and font readability.

AAD-W99
90% match
Loading thumbnail…

Fork of Vega-Lite API Template

This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository, plotting each car as a circle positioned by miles per gallon and horsepower. Color encodes origin, while point size reflects vehicle weight, with tooltips revealing model names. Built using the Vega-Lite API and D3’s `csv` loader, it renders as an SVG via the vega-tooltip handler, dynamically fitting the viewport dimensions. Custom axis and label styling come from a shared config object, and the chart updates automatically when data loads.

Yyaron-lavi
90% 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
90% match
Loading thumbnail…

Fork of Vega-Lite API Template

This interactive scatter plot visualizes the Auto MPG dataset from the UCI Machine Learning Repository, mapping fuel efficiency against horsepower, with color by origin and point size by weight. It uses the Vega-Lite API to declaratively define the visualization, with D3.js loading the CSV data. The example demonstrates integrating Vega-Lite's high-level grammar with a custom configuration for improved readability, including styled axes and labels, and fits the chart responsively to the full viewport while enabling tooltips through Vega Tooltip.

SSemyon
90% match