Bullet Charts

Bullet Layout

This example shows a bullet chart layout displaying five metrics—Revenue, Profit, Order Size, New Customers, and Satisfaction—each with ranges, measures, and markers. Titles and subtitles are editable in place via SVG foreignObject elements containing XHTML forms, with blur and keypress handlers updating the underlying data. The charts animate transitions when a button randomizes the values, using d3.scale.linear, transition durations, and the bulletChart function from d3.v2. Data is loaded from a JSON file and rendered as SVG.

GGerHobbelt

89% match

Bullet Chart with automatic updating v6

This example presents a bullet chart with two horizontal bars, one for CPU Load and one for Memory Used, using the design recommendations of Stephen Few. The chart displays multiple range bands, a measure bar, and a marker line for each metric, with values updating every three seconds. Built with D3.js v6, the visualization uses a custom `d3.bullet` function to render the SVG chart, which animates changes to the scales and rect widths via smooth transitions. The data appears to be periodically randomized, as the measures and markers shift slightly with each refresh, demonstrating how the chart handles dynamic updates.

Simple d3.js Bullet Chart example

This simple d3.js example demonstrates bullet charts, a compact alternative to gauges for displaying performance metrics against qualitative ranges and target markers. It renders two datasets—CPU Load and Memory Used—from a JSON file using SVG elements. The code implements the chart as a reusable custom component, `d3.bullet`, and includes a button that triggers a transition, animating random updates to the measures and markers over one second with `chart.duration(1000)`.

Simple d3.js Bullet Chart example v7

This example displays bullet charts for CPU Load and Memory Used, with ranges, measures, and markers visualized as colored bars and lines. Built with d3.v7, the SVG renders two charts from bulletdata.json, updating with animated transitions when the button is clicked. The bullet chart implementation follows Stephen Few's design, using d3.scaleLinear, d3.json for data loading, and transition methods with configurable duration.

Bullet Charts with automatic updating

This example shows bullet charts—a compact alternative to gauges—for CPU load and memory usage. The charts automatically update their values every second by fetching the `bulletdata2.json` file. Using D3.js version 3.5, the code implements a custom `d3.bullet` function that renders range, measure, and marker elements as SVG rects and lines. Transitions with a 1000-millisecond duration animate the scale and element positions smoothly when new data arrives.

Simple d3.js Bullet Chart example v6

This example displays bullet charts for two metrics—CPU Load and Memory Used—with qualitative ranges, a measure bar, and a marker line. Built with d3.bullet, it uses d3.scaleLinear, selectAll, and transition methods to animate updates. Data loads from JSON, and clicking the Update button randomizes values with d3.random, smoothly transitioning the SVG elements over one second.

83% match

Bullet Chart with automatic updating v5

This example shows two bullet charts comparing CPU load and memory usage, with ranges, measures, and markers that update automatically. Using a custom `d3.bullet` function built on D3 v5, the charts pull data from a JSON file and render as SVG. Every three seconds, a `setInterval` triggers a randomized data update, which is animated over one second using D3’s `transition` and `duration` methods, smoothly transitioning the measure and marker positions along the linear scale.

83% match

Simple d3.js Bullet Chart example v5

Two bullet charts display CPU load and memory use as horizontal bars with shaded ranges, dark measure bars, and thin marker lines, all rendered as SVG. Built with d3.v5, the visualization uses a custom `d3.bullet` chart component that relies on `d3.scaleLinear` and `d3.json` to load data, with transitions animating updates when the "Update" button triggers `randomize` to regenerate marker and measure values.