Fork of Vega-Lite API Template

Fork of Vega-Lite API Template

This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository, plotting vehicle fuel efficiency (mpg) against horsepower with points colored by country of origin and sized by vehicle weight. The chart is built using the Vega-Lite API, which registers Vega and Vega-Lite libraries to render an SVG view. Data is loaded asynchronously via d3.csv, and the visualization encodes quantitative x- and y-fields, a nominal color field, and tooltips showing car names. The implementation includes custom axis styling and tooltip configuration for readability across the full browser window.

YYi-Qing

Fork of Vega-Lite API Template

This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository, plotting each car’s fuel efficiency (mpg) against its horsepower. Circles are colored by country of origin and sized by vehicle weight, with tooltips revealing the car model name. The visualization is built using the Vega-Lite API, which wraps d3.csv for data loading and vega-tooltip for interactive hover details. The plot dynamically fits the full viewport width and height, while custom axis and label styling are defined in a separate config file to improve readability.

Kkosakase

Fork of Vega-Lite API Template

This example visualizes the relationship between vehicle weight, horsepower, and fuel efficiency (mpg) in the Auto MPG dataset from the UCI Machine Learning Repository. Each circle represents a car, positioned by mpg on the x-axis and horsepower on the y-axis, with color encoding the country of origin and size encoding weight. The visualization is built using the vega-lite-api library in conjunction with Vega-Lite and Vega, while d3.csv loads the remote dataset. A custom config object adjusts axis styling, and the chart automatically fits the browser window with a tooltip displaying the car model name.

RROU

Fork of Vega-Lite API Template

This visualization displays the relationship between automobile fuel efficiency (mpg) and horsepower, with points colored by country of origin and sized by vehicle weight. Built with the Vega-Lite API and rendered as an interactive SVG, it loads the Auto MPG dataset from the UCI Machine Learning Repository via a CSV file. The code uses vl.markCircle and vl.encode for the scatter plot, with a tooltip handler from vega-tooltip to show car model names on hover.

RRolf Niggemann

Fork of Vega-Lite API Template

This example visualizes the relationship between fuel efficiency, horsepower, weight, and country of origin for cars from the UCI Auto MPG dataset. The scatter plot encodes miles per gallon on the x-axis, horsepower on the y-axis, color by origin, and point size by weight. It is built with the Vega-Lite API, which registers Vega, Vega-Lite, and Vega-Tooltip to render an interactive SVG chart. Data is loaded asynchronously via D3’s `csv` function, while the visualization code uses `vl.markCircle`, `.encode`, and `vl.x().fieldQ()` to define the marks and scales.

Aakiannejad123

Fork of Vega-Lite API Template

This example shows the relationship between fuel efficiency (mpg), horsepower, weight, and country of origin for automobiles from the UCI Machine Learning Repository’s Auto MPG dataset. A semi-transparent line mark encodes mpg on the x-axis and horsepower on the y-axis, with color distinguishing origin and size representing weight. The visualization is built using the Vega-Lite API, which is registered with vega, vega-lite, and vega-tooltip for interactive tooltips. Data is loaded asynchronously via d3.csv, and the final SVG is rendered to fit the full window size.

GGeekboxer

Fork of Vega-Lite API Template

This example visualizes the relationship between fuel efficiency (miles per gallon) and horsepower across automobile models, with color mapping to the country of origin and point size encoding vehicle weight, and includes tooltips displaying model names. It uses the Vega-Lite API (vl) to declaratively define the scatter plot specification, with data loaded from the UCI Machine Learning Repository’s Auto MPG dataset via d3.csv. The visualization is rendered through Vega’s and Vega-Lite’s JavaScript libraries, integrating the Vega Tooltip for interactive hover details, and applies a custom configuration for axis and label styling.

GGerasimos Katsagannis

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 horsepower and miles per gallon, colored by country of origin, and sized by vehicle weight. Hovering over a circle reveals the car’s name via a tooltip. The visualization is built using the Vega-Lite API, which registers Vega and Vega-Lite specifications through JavaScript code, with the data loaded via `d3.csv`. The chart uses an SVG renderer and applies custom axis and label styling from a configuration object.

YYedrup