Customization of bush handler

100%

Customization of bush handler

✓ Published0🌍 Public

Last edited Feb 19, 2017

Created on Feb 17, 2017

This example shows an interactive scatterplot of 800 random data points, where a brush control selects a range along the x-axis and highlights the corresponding circles in red. The brush’s resize handles are customized with triangular SVG paths, generated by a `triangleData` function that computes relative path coordinates for the `d` attribute, using D3 v3’s `d3.svg.brush`, `d3.scale.linear`, and `d3.svg.axis`. The static SVG rendering relies on a fixed viewport with margins and translucent styling for the brush extent and selected circles.

AI-generated description

Built with blockbuilder.org

Just as all of you know that the magic come from paht's d attribute. Using function triangleData to generate a string which contain the d's value, such as:

m 0,0 -10.717967697244909,40 21.435935394489817,0 z

that is: pt1=(0,0), pt2=(-10.717967697244909,40) and pt3=(21.435935394489817,0)

then an erect triangle-path is generated.

Lowercase commond indicates that sibling points' coordinates of d-value is relative coordinate. So point pt2 is based on pt1, and pt3 is based on pt2, then on and on.

mit Licensed

Similar vizzes

Loading thumbnail…

Brush Handles

This example shows an 800-point scatterplot with a draggable, visible brush handle range selection. The brush is rendered as two semi-circular handles on either side of the selection extent, which the user can drag to resize the range. The code extends `d3.brushX` with custom `path` elements and uses `d3.arc` to define their shapes. When the brush moves, a `brushmoved` function updates the handle positions and highlights the selected circles by toggling an "active" class, which changes their fill opacity.

FFrissAnalytics

83% match

Loading thumbnail…

Brush Handles

This example shows a scatterplot of 800 random points on a linear x-scale, with a draggable d3.brushX selection. Custom semicircular path handles are attached to the brush’s west and east edges, letting users resize the selection by dragging these visible arcs instead of the invisible brush boundary. The brushmoved handler updates the handle positions and highlights points inside the selected range. It uses d3.brushX, d3.axisBottom, d3.randomNormal, and d3.arc for the handle shapes, rendering to SVG.

Mmbostock

83% match

Loading thumbnail…

Brush Handles d3v4 II

This example demonstrates d3-brush with custom resize handles in D3 v4, highlighting the brush selection over a scatterplot of 800 random points. It shows how brushed points become highlighted with a red stroke, while custom path-based handles render on the left and right edges of the selection. The implementation uses d3.brushX, d3.scaleLinear, and d3.axisBottom, with the handle path defined via a custom function resembling the crossfilter approach. The brush’s start and brush events trigger the brushmoved function, which updates point activity and handle positioning based on the current selection.

PPhilippe Rivière

81% match

Loading thumbnail…

Brush Handles d3v4 II

This example demonstrates a D3 v4 brush with custom resize handles on a scatterplot of 800 random points. The brush selects a horizontal range along the x-axis, highlighting points within the selection by adding an “active” class. Custom path-based handles replace the default brush edges, using a `brushResizePath` function to draw arrow-like grips. The code uses `d3.brushX`, `d3.axisBottom`, and `d3.scaleLinear`, with the brush’s `start`, `brush`, and `end` events driving the highlighting logic via `d3.event.selection`.

FFrissAnalytics

80% match

Loading thumbnail…

Scatter plot brushing

This example demonstrates interactive brushing on a scatter plot, where users can drag a rectangular selection to highlight points within that region in orange while dimming others remain blue. The visualization uses 300 randomly generated data points from a normal distribution, rendered as SVG circles with axes. The brushing interaction is implemented using d3.brush, with the brushed event updating circle fills based on the selection bounds, while brushended resets the colors with a smooth transition when the brush is cleared. The code uses d3.scaleLinear for positioning and d3.axisBottom/axisLeft for axes.

EEfratVil

79% match

Loading thumbnail…

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

79% match

Loading thumbnail…

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.

Mmbostock

78% match

Loading thumbnail…

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

78% match