Fork of Vega-Lite API Template

Fork of Vega-Lite API Template

This scatter plot visualizes the relationship between engine displacement and horsepower for a collection of automobiles, using data loaded from a remote CSV file. Each point represents a car model, with tooltips revealing the vehicle's name on hover. The visualization is built using the Vega-Lite API, which constructs a specification rendered through the Vega and Vega-Lite libraries. Data is fetched asynchronously using d3.csv, and the chart configures axis styles and dark guide labels for a polished appearance.

HHarsh Vijay

Fork of Vega-Lite API Template

This example visualizes the relationship between engine displacement and horsepower for a set of automobiles, with tooltips revealing the vehicle name for each point. The scatter plot is constructed using the Vega-Lite API, which is registered with Vega and Vega-Lite, and rendered as SVG. Data is loaded from a CSV file using D3’s `csv` function, while the visualization’s appearance is customized through a configuration object that adjusts axis styles and font sizes. The chart fills the entire viewport and uses semi-transparent points to reveal overlapping data.

SSarah Elkeurti

Fork of Vega-Lite API Template

This scatter plot visualizes the relationship between engine displacement and horsepower for a dataset of automobiles, with tooltips revealing the car name. Built with the Vega-Lite API, the visualization registers Vega and Vega-Lite, loads data from a CSV file via d3.csv, and renders as an SVG. The chart uses markPoint encoding with scaled axes and opacity to handle overlapping points, while the configuration customizes axis appearance and font styling.

MMohamed Ali

Fork of Vega-Lite API Template

This scatter plot visualizes the relationship between engine displacement and horsepower for a set of automobiles, with each point labeled by car name via tooltips. Built using the Vega-Lite API (vl) within a D3.js framework, it fetches data from a CSV file via `d3.csv` and renders an interactive SVG chart. The visualization applies a customized dark theme and responsive sizing, with points rendered as semi-transparent circles using `.markPoint`.

NNick Jefford-Horn

Fork of Vega-Lite API Template

This scatter plot visualizes the relationship between engine displacement and horsepower for various car models, with tooltips revealing the car's name on hover. Built with the Vega-Lite API, it renders as SVG and automatically fits the browser window. The visualization loads the auto-mpg.csv dataset from a GitHub gist, applies custom axis and label styling, and uses semi-transparent square marks to represent data points, revealing overlapping clusters.

DDeepak Tomson

Fork of Vega-Lite API Template

This example visualizes the relationship between engine displacement and horsepower for a collection of automobiles, using a scatter plot of semi-transparent points with tooltips displaying vehicle names. It is built with the Vega-Lite API, which compiles specifications into Vega and renders them as SVG, while D3.js loads the data from a CSV file hosted on GitHub. The visualization adapts to the full window size and applies a custom configuration to adjust axis and label styling for improved readability.

MMinh Luong

Fork of Vega-Lite API Template

This example visualizes the relationship between engine displacement and horsepower for classic automobiles, with tooltips revealing each car’s name. It uses the Vega-Lite API to declare the scatterplot marks and encodings, while customizing axis and label styling via a shared config object. Data is loaded asynchronously from a CSV using d3.csv, then rendered as an SVG through Vega’s view system. The visualization fills the browser window and fades overlapping points for readability.

AAakarshak Sthapak

Fork of Vega-Lite API Template

This example visualizes the relationship between engine displacement and horsepower for a collection of automobiles. It uses a scatter plot of points with a fixed size and low opacity to show data density, with tooltips revealing the car name. The visualization is built using the Vega-Lite API, registering it with Vega and Vega-Lite, and configures axes and label styling through a custom config object. Data is loaded from a remote CSV file via the `d3.csv` method.

MMayank Kumar