Fork of Vega-Lite API Template

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. It visualizes vehicle horsepower against miles per gallon, with circle size encoding weight and color representing country of origin via a quantitative size encoding and a nominal color field. The visualization is built using the `vega-lite-api` library, which programmatically constructs the plot through chained method calls like `vl.x()`, `vl.y()`, and `vl.color()`, with data loaded via d3’s `csv` function. The code registers Vega-Lite and Vega-Tooltip for rendering and interactive tooltips, while a custom configuration adjusts axis styling for readability.

Ccynobill

Fork of Vega-Lite API Template

This example uses the Vega-Lite API to render a scatter plot of Auto MPG data from the UCI Machine Learning Repository, sourced via a Gist CSV. The visualization encodes miles per gallon on the x-axis, horsepower on the y-axis, colors points by origin, scales size by weight, and adds tooltips for vehicle names. It registers Vega, Vega-Lite, and the vega-lite-api library, then loads the data with d3.csv, applies a custom dark-themed config for axis styling, and fits the chart to the window dimensions.

SShaneBowen1

Fork of Vega-Lite API Template

This example renders a scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository, visualizing each car as a circle positioned by its miles per gallon and horsepower, colored by its region of origin, and sized by its weight. The visualization is constructed using the Vega-Lite API, with the `vl` object building a mark-circle encoding that maps data fields to x, y, color, and size channels. The underlying code registers Vega and Vega-Lite, fetches the data via d3’s `csv` function, and uses a custom config to style axis labels and titles.

NNYY

Fork of Vega-Lite API Template

This example presents an interactive scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository, visualizing relationships between fuel efficiency, horsepower, vehicle weight, and country of origin. Each circle’s position maps to miles per gallon and horsepower, while size encodes weight and color distinguishes origin, with tooltips revealing car names. Built with the Vega-Lite API, it registers Vega, Vega-Lite, and Vega-Tooltip through D3’s CSV loader for data retrieval, then renders a fit-sized SVG view with custom styling for readability.

SSepehr Roshanpour

Fork of Vega-Lite API Template

This example uses the Vega-Lite API with D3 to render a scatter plot of automobile data from the UCI Machine Learning Repository, displaying miles per gallon against horsepower. Each point is colored by country of origin and sized by vehicle weight, with tooltips revealing car names. The visualization employs the `vl` API to construct the mark and encodings, configures axis styling for readability, and uses `vl.scale` for non-zero-based axes. It renders to SVG using Vega-Lite's default renderer, with data fetched asynchronously from a Gist-hosted CSV.

EEevikettu

Fork of Vega-Lite API Template

This example displays a scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository, showing vehicle fuel efficiency against horsepower. Each circle’s size encodes vehicle weight and its color represents the country of origin, with tooltips revealing the car model name. The visualization is built using the Vega-Lite API, which compiles specifications into Vega and renders with D3. Data is fetched as CSV via D3’s `csv` function, and styling customizes axis labels and titles for readability.

Sseitzfab

Fork of Vega-Lite API Template

This example uses the Vega-Lite API to construct an interactive scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository. The plot displays each car as a circle, with its position determined by miles per gallon and horsepower, while color encodes the country of origin and size reflects vehicle weight. The visualization is built using the vega-lite-api library, which registers Vega and Vega-Lite specifications, and includes tooltips via vega-tooltip. Data is loaded through d3.csv, and the chart resizes to fit the browser window.

RRahel Gunaratne

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, displaying vehicle weight against horsepower with points colored by origin and sized by weight. A tooltip reveals the car’s name on hover. The code builds the visualization declaratively via `vl.markCircle`, `vl.encode`, and field mappings, then registers Vega-Lite with vega and vega-lite-api, using d3’s `csv` loader for data retrieval and custom configuration for styling axes and labels.

Mmaker57sk