Vega-Lite API Template

Vega-Lite API Template

A scatter plot shows the relationship between pressure and acceleration, with tooltips revealing each point's name. Built with Vega-Lite API, it loads CSV data from a remote GitHub repository using d3.csv. The visualization uses Vega and Vega-Lite libraries, configures axes and label styling, and renders as a full-window SVG with interactive tooltips from vega-tooltip.

Jjacoyat08

Vega-Lite API Template

This example plots meteorite landings by longitude and latitude, with point size encoding mass and color encoding the year of impact. It uses the Vega-Lite API wrapper (`vl.markCircle`, `.encode`, and field specifications) to declaratively build the chart, which is then rendered to SVG. Data is loaded via D3’s `csv` function from a gist URL, and a custom config adjusts axis colors and font sizes. The chart auto-fits the window and includes a tooltip handler from vega-tooltip.

Mmshoer

Vega-Lite API Template

This example visualizes infrastructure indicators by plotting each data point as a circle, with the year on the x-axis, the indicator type on the y-axis, and the color encoding the numeric value. Tooltips reveal the exact values on hover. The visualization is built using the Vega-Lite API, which registers Vega and Vega-Lite libraries to render the chart as SVG. Data is loaded asynchronously from a CSV file using d3.csv, and the chart’s styling and axis labels are customized through a configuration object. The visualization automatically fits the full browser window.

SSabin Bhandari

Vega-Lite API Template

This example demonstrates a scatter plot of automobile data, mapping engine displacement on the x-axis and horsepower on the y-axis, with tooltips revealing each vehicle’s name. It uses the Vega-Lite API to declaratively define the marks and encodings, registering with Vega and Vega-Lite for rendering as SVG. Data is loaded asynchronously from a CSV file via d3.csv, while the chart’s size adapts to the browser window. Configuration customizes axis and label styling, and Vega-Tooltip provides interactive hover information.

Llaplantalaplanta

Vega-Lite API Template

A scatterplot uses the Vega-Lite API to map time on the x-axis, location on the y-axis, and a quantitative color scale for data values. Circles are sized and colored from the dataset, with tooltips showing each point’s name. The visualization loads tab-separated data via `d3.tsv` from a GitHub gist and renders with an SVG view, using `vl.markCircle` and `vl.encode` to build the chart. Axis labels and titles are customized through a shared `config` object.

Ddavid-cv2

Vega-Lite API Template

This example uses the Vega-Lite API to create a scatterplot of automobile data from a CSV file, mapping acceleration and horsepower on the axes with tooltips for car names. The visualization is rendered as an SVG via the vega and vega-lite libraries, with vega-lite-api constructing the mark specification programmatically. The code loads data asynchronously using d3.csv, applies custom axis and label styling from a config object, and fits the chart to the viewport with a tooltip handler from vega-tooltip.

Llubin-liu

Vega-Lite API Template w/ API Fetch

This example demonstrates a scatterplot of temperature readings for various cities, using the Vega-Lite API to construct the visualization. The chart encodes temperature as the y-axis and city as the x-axis, with a tooltip displaying the state for each point. The code fetches CSV data from a remote URL using `d3.csv`, then builds the visualization with `vega-lite-api`, rendering it as an SVG via the `vega` and `vega-lite` libraries. Styling is customized through a config object, and the chart fills the browser window with an autosize fit.

AAndres de la Garza

Vega-Lite API Template

This example uses the Vega-Lite API to render a scatterplot of automotive data from a CSV file, plotting engine horsepower against the origin of each vehicle. The visualization employs semi-transparent black circles to reveal overlapping points, with tooltips displaying car names on hover. The code registers Vega, Vega-Lite, and Vega-Tooltip libraries, fetches data via d3.csv, and applies a custom configuration for axis styling and label fonts. The chart dynamically fits the browser window using an autosize type of “fit” with padding.

CCurran Kelleher