Brushing

100%

✓ Published1🌍 Public

Last edited Jul 2, 2021

Created on Jul 2, 2021

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.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

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

87% 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

85% match

Loading thumbnail…

Brushing

This example demonstrates brushing on a scatterplot of borehole data, plotting depth against time. Users drag a horizontal brush across the chart to zoom the x-axis into a selected date range, with circles and the axis smoothly transitioning over one second. The visualization uses D3 v4 APIs including `d3.brushX`, `d3.scaleLinear`, `d3.axisBottom`, and `d3.transition` to update the view, while the data is loaded as CSV from an external URL. SVG rendering animates the filtered result.

SShane Carey

84% match

Loading thumbnail…

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

83% match

Loading thumbnail…

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

82% match

Loading thumbnail…

Brush() & Filter()

This example demonstrates interactive brushing and filtering on a time-series area chart of stock data. The visualization renders a blue filled area with overlaid circles representing daily values, plus a red dashed line marking the average. Using D3 v5, the chart employs `d3.area()`, `d3.scaleTime()`, and `d3.axisBottom()` for SVG rendering, while mouseover tooltips display date and value details. A brush component filters data points, highlighting selected circles in green while dimming others, with CSV data loaded via `d3.csv()`. The animation and interaction rely on D3’s selection and transition APIs.

BBrightPeace

82% 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

81% match

Loading thumbnail…

Bar Chart with Brushing

This interactive bar chart demonstrates how brushing can reconcile the trade-off between a zero baseline and emphasizing small differences. The visualization displays two horizontal bars comparing scores across groups, rendered as SVG rectangles using React components. A linked brushing interface, implemented with d3.brushX, allows users to select a region on the top chart, which then dynamically updates the bottom chart’s x-scale domain via d3.scaleLinear. The data originates from a CSV file loaded with d3.csv, and React’s useState hook manages the brush extent state for responsive zooming.

WWaseem Medhat

81% match