Fork of Vega-Lite API Template

100%

Fork of Vega-Lite API Template

✓ Published0🌍 Public

Last edited Dec 27, 2024

Created on Dec 27, 2024

This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository, showing the relationship between miles per gallon, horsepower, and vehicle weight, with color distinguishing the origin of each car. It uses the Vega-Lite API to construct a scatter plot with circle marks, encoding quantitative fields for x and y positions and weight for size, while tooltips display the vehicle name on hover. The code registers Vega, Vega-Lite, and the Vega-Lite API, loads data via d3.csv, and configures axis and label styling for readability. Rendered as an SVG that fills the window, the visualization supports 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, plotting vehicle weight against horsepower with points colored by origin and sized by miles per gallon. Built with the Vega-Lite API, it renders an interactive scatter plot using d3.csv for data loading and Vega-Lite’s markCircle encoding for graphical marks. The visualization uses a custom configuration to adjust axis styling, font sizes, and tooltip appearance, all rendered as SVG with dynamic width and height based on the viewport.

AAlex Gomes

97% 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

97% 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 as colored circles representing the car’s origin. It uses the Vega-Lite API to declare the scatter plot, with point size mapped to vehicle weight and tooltips showing car names. The visualization is rendered as SVG via Vega, with D3.js loading the CSV data and Vega Tooltip providing interactive labels. Custom axis and label styling in the configuration improve readability, and the chart resizes to fit the browser window.

EEngineerRajeev

96% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository, showing the relationship between miles per gallon and horsepower, with additional encodings for origin (color) and weight (size). The plot uses a scatter plot with semi-transparent circles, presenting data as points with tooltips displaying car names. The visualization is built using the vega-lite-api library, which wraps Vega-Lite specifications, with the `vl.markCircle` method configuring the marks and `vl.x()`/`vl.y()` for quantitative scales. Data is loaded asynchronously via `d3.csv`, and the final render uses Vega’s SVG output with a custom tooltip handler.

SSong Tao Chen

96% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example visualizes the relationship between horsepower, miles per gallon, and vehicle weight for cars from the UCI Machine Learning Repository's Auto MPG dataset. A scatter plot uses circle marks, with color encoding vehicle origin and size encoding weight, while tooltips reveal the car model name. The visualization is built using the Vega-Lite API, which wraps Vega and Vega-Lite, and includes a custom configuration to style axes and labels. Data is loaded asynchronously with d3.csv, and the chart canvas fills the browser window.

SShishiraRudrabhatla

96% match

Loading thumbnail…

Fork of Vega-Lite API Template

This interactive scatter plot visualizes the Auto MPG dataset from the UCI Machine Learning Repository, encoding vehicle weight as point size, origin as color, and miles per gallon against horsepower. Built with the Vega-Lite API, it registers Vega and Vega-Lite alongside the vega-tooltip Handler for hover interactions. The visualization uses a d3.csv fetch to load data, with a custom config adjusting axis styling and label fonts, and renders responsively to fit the full browser window.

DDataFeast_71

96% match

Loading thumbnail…

Fork of Vega-Lite API Template

This visualization presents the Auto MPG dataset from the UCI Machine Learning Repository, plotting vehicle weight against horsepower while encoding origin via color and mpg through circle size. The code uses the Vega-Lite API to declaratively construct the scatter plot, registering Vega, Vega-Lite, and Vega-Tooltip for rendering and interactivity. D3’s `csv` function loads the remote data, while custom configuration adjusts axis styles and font sizes. The visualization fills the window, with tooltips displaying vehicle origin on hover.

IIlgar Akalın

96% match

Loading thumbnail…

Fork of Vega-Lite API Template

This example presents a scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository, showing the relationship between miles per gallon, horsepower, weight, and origin. The visualization uses the Vega-Lite API with d3.csv for data loading, and configures an SVG renderer with a custom dark theme. It encodes x, y, color, size, and tooltip channels through the vl.markCircle and vl.encode methods, with vega-tooltip handling interactive hover details. The chart automatically resizes to fill the viewport.

Vvarmps

96% match