Ordinal Brushing

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

77% match

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.

76% 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

76% match

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.

75% match

Ordinal Tick Filtering

This example demonstrates how to reduce clutter on an ordinal axis by selectively showing only every other tick label. The visualization renders an SVG axes with 52 letter-based categories, using `d3.scale.ordinal()` and `d3.svg.axis` with `.tickValues()` to filter the displayed ticks. The chart is generated with D3 v3, drawing black axis lines and labels in a plain HTML page.

Brush Slider Test

This example demonstrates a brush-style slider that filters a numeric range, displaying the selected minimum and maximum values as text above the axis. Rendered as SVG, it uses D3 v4’s `d3.brushX()` to create the interactive selection and `d3.brushSelection` to read the current range. The x-axis is generated with `d3.axisBottom` and a linear scale, with the brush initially positioned between 20 and 50 via `brush.move`. The code also notes key API changes from D3 v3 to v4, such as handling brush extents on the brushed element.

FFrissAnalytics

Brushing

This example demonstrates interactive brushing on a small scatter plot of weight and height data from a CSV file. Users drag a rectangular brush region to highlight data points, turning selected circles red and unselected ones blue. The visualization uses D3 v6 with an SVG rendering, a linear scale for both axes, and d3.brush to manage the selection. Points are positioned using transitions and axes are rendered with d3.axisLeft and d3.axisBottom.

DDasbach.EJ

Brush Transitions

A scatterplot of 5,000 random points displays a red brush selection over a central region. Dragging or creating a new selection highlights points within the brush extent, while releasing the mouse triggers a smooth animated transition of the brush back to its original 100-by-100 pixel default position. The example demonstrates D3 3.3's brush transitions, implemented with `d3.svg.brush`, a quadtree for efficient point lookup, and `transition.call` to reapply brush extents during animation.