Brushable Network, II

Brushable Network

A brushable network diagram displays 85 nodes as circles and their connections as lines in an SVG. The D3.js v4 code loads node positions from a local `graph.json` file, draws the links with `line` elements, and represents nodes as `circle` elements. Users can drag a rectangular selection using the `d3.brush()` API, which highlights any node falling within the brush extent by adding a "selected" class, turning its stroke red.

94% match

Draggable Network II

This interactive network visualization uses a force-directed layout to display a graph with 80 nodes and numerous links. Users can select individual nodes or drag a rectangular brush across the background to select multiple nodes, with the SHIFT key toggling additional selections. Once selected, nodes can be dragged to reposition, with connected links updating in real-time via the `d3.drag` and `d3.brush` APIs. Arrow keys also nudge selected nodes incrementally. The example demonstrates customizing a force-directed layout through manual adjustment, using the D3.js v4 library and rendering to SVG.

82% match

Brush I

A brushable scatterplot displays 300 randomly generated points. A horizontal brush initially selects a range, highlighting points within it in red with a brown stroke. The example uses d3.brushX to define the brush and handles the brush event to update the selection state. Clicking re-centers the brush using a fixed width, demonstrating interactive selection on an SVG rendered with d3.scaleLinear and d3.axisBottom.

MMorganhaoyu

78% match

The Brush

A line chart displays randomly generated data points, with a transparent red brush overlay that highlights a selected data point and its corresponding value label. Dragging the brush across the chart triggers the highlighting, which animates smoothly. Built with D3 v3, the visualization uses SVG rendering, `d3.svg.brush()` for selection, and `d3.svg.axis()` for gridlines and ticks, with all data generated randomly in the browser.

11Cr18Ni9

76% match

Brush for data visualisation

A reusable D3 chart combines a main scatterplot with a brush for subsetting data. The visualization uses JSON input to configure axes, margins, and colors, and displays tooltips on hover. Built with D3 v3, it renders SVG with an optional Canvas-based PNG export, allowing users to download the current view as either format.

11Cr18Ni9

Click-to-Recenter Brush II

A scatterplot of 800 points uses a horizontal brush to highlight selections in red. Clicking the background recenters the brush around the cursor, using `d3.brushX` with a fixed width, while a `brushended` handler snaps the brush extent to integer values on the x-axis via `Math.round` and `brush.move`. The SVG rendering uses `d3.scaleLinear` for axes and a transition animation on brush movement.

Click to Select All

A scatterplot displays 800 randomly generated points positioned across a linear x-axis and normally distributed y-values. Clicking and dragging outside the existing selection normally creates a new brush, but this modified behavior selects all points instead. The visualization uses D3 v4’s `d3.brushX` to handle brushing, `d3.scaleLinear` for axes, and SVG circles with red fill and brown stroke for selected items. A transition animates the brush movement when the user activates the select-all interaction.

Brushing Circles with D3-Brush

This example demonstrates interactive brushing on a scatterplot of six circles, where dragging a rectangular selection highlights overlapping data points. It shows how a brush can filter or emphasize specific marks in a visualization. The implementation uses D3’s `brush` module, with a `brush` event listener that checks each circle’s coordinates against the selection bounds to update a `highlightedSet` in the state. Circle styling (stroke, opacity) responds to the highlighted set, and the `end` event clears highlights when the brush is dismissed. The rendering uses SVG elements via D3’s `select` and `join` pattern.

CCurran Kelleher