D3 functions

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Last edited Oct 3, 2022

Created on Oct 3, 2022

This example demonstrates D3 data joins with interactive buttons that remove or modify circles in an SVG scatterplot. Clicking "Remove" pops the last item from an array of x/y coordinates, redrawing the remaining circles; clicking "Modify" replaces one random entry with new values. The code uses `select`, `scaleLinear`, and `max` from d3 v5, along with a custom `rand` utility, to update circle positions via enter/merge/exit selections. The visualization highlights how shared update logic handles both new and existing elements.

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D3 functions

This example demonstrates D3’s data-join pattern with a set of circles plotted on an SVG canvas. Buttons trigger updates: “Remove” pops a data point, while “Modify” replaces a random point with new coordinates. Using `selectAll('circle')`, `enter`, `merge`, and `exit`, it shows how to handle entering, updating, and exiting elements. The code uses D3 v5’s `scaleLinear`, `select`, and `max`, with data defined as an array of `{x, y}` objects and rendering via SVG circles.

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This example demonstrates D3's enter, update, and exit selections in a data join, showing how circles are added, recolored, or removed as the dataset changes with each button click. Clicking the Update button generates a random number of items (each with value 40) and renders them as blue circles on entry, red on update, and green on exit. The code uses d3.select and selectAll with the .join() method, including explicit enter, update, and exit functions, and applies attributes for positioning and radius via .attr(). The SVG rendering is handled in a 960×100 viewport.

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