Fork of Vega-Lite API Template

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

Fork of Vega-Lite API Template

This example showcases a scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository, visualizing miles per gallon against horsepower. Points are colored by origin and scaled by weight, with tooltips revealing car names. The visualization is built using the Vega-Lite API’s `vl.markCircle` with encoding methods like `vl.x().fieldQ()` and `vl.color().fieldN()`. It loads data via `d3.csv`, configures axis styling in `config.js`, and integrates Vega-Tooltip for interactive hover details.

IIlia Katkovnik

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

Fork of Vega-Lite API Template

This example shows a scatter plot of auto-mpg data from the UCI Machine Learning Repository, plotting miles per gallon 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 to SVG. Data is loaded asynchronously via d3.csv, and the chart encodes tooltips for vehicle names. The code customizes axis and font styles through a config file, demonstrating programmatic chart creation with the vega-lite-api wrapper.

Hhbatteram

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

Fork of Vega-Lite API Template

This example uses the Vega-Lite API to render a scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository. The visualization encodes miles per gallon on the x-axis, horsepower on the y-axis, and uses both color (by origin) and size (by weight) as additional dimensions. Built with the vega-lite-api library version 0.1.0, it registers Vega and Vega-Lite, and includes a tooltip handler from vega-tooltip to display car names. The code uses `vl.markCircle`, `vl.x().fieldQ('mpg')`, and `vl.y().fieldQ('horsepower')` for the encoding, with data loaded asynchronously via d3’s `csv` function.

DDor Peled

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 interactive scatter plot visualizes the Auto MPG dataset from the UCI Machine Learning Repository, mapping miles per gallon against horsepower for individual car models. Each point is colored by origin and sized by vehicle weight, with hover tooltips revealing the car name. Built with Vega-Lite API, the visualization leverages `vl.markCircle`, positional encodings via `vl.x()` and `vl.y()`, and tooltips through `vl.tooltip()`. D3’s `csv` loader fetches the data, while Vega tooltip enhances interactivity, all running within a responsive, full-window layout.

JJoshua Holloway