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 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 visualizes the Auto MPG dataset from the UCI Machine Learning Repository, plotting miles per gallon against horsepower for individual cars. Each circle’s color encodes the car’s origin, while its size represents weight; hovering reveals the car’s name via a tooltip. The visualization is built using the Vega-Lite API, which composes a scatter plot with a circle mark and quantitative scales. It loads CSV data via d3.csv, renders with SVG through Vega-Lite’s view, and applies custom axis and label styling from a shared configuration object.

Ssofiamourap

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

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

Fork of Vega-Lite API Template

This visualization presents a scatter plot of auto MPG data from the UCI Machine Learning Repository, mapping miles per gallon against horsepower. Each circle’s size encodes vehicle weight, while color distinguishes origin, and hovering reveals the car’s name. The visualization is built using the Vega-Lite API, with d3.csv loading the data and vega-tooltip providing interactive details. The chart fills the browser window, and a custom config adjusts axis and label styling for readability.

SSumit Kumar

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, 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.

AAnomatomato

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 visualizes the Auto MPG dataset from the UCI Machine Learning Repository, plotting each car as a circle with engine horsepower on the y-axis and miles per gallon on the x-axis. Color encodes the country of origin, while circle size represents vehicle weight, and hovering reveals the car’s name via a tooltip. Built with the Vega-Lite API, the visualization registers Vega and Vega-Lite, loads data asynchronously using d3.csv, and renders an interactive SVG chart that resizes to fit the viewport. The code also applies custom axis and label styling through a configuration object.

RRoland