Animated menued Reusable D3 Scatter Plot

Menus for Animated Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris dataset, allowing users to dynamically change which attributes are mapped to the X and Y axes via HTML dropdown menus. The plot animates transitions between states, smoothly moving circles and updating axis labels when the selected variables change. Built with D3 v6, the example demonstrates a reusable chart architecture using custom components like `scatterPlot` and `menu`, leveraging D3's `dispatch` for event handling and `transition` for smooth animations.

BBart van Pelt

Animated Reusable D3 Scatter Plot + Menus

This interactive visualization displays the Iris Dataset as an animated scatter plot with dropdown menus for selecting which measurements appear on each axis. Built with reusable D3 v6 chart components, the `scatterPlot` module updates circle positions via `selection.join` and smooth SVG transitions, while the `menu` module uses a D3 `dispatch` event system to trigger rebuilds. Data is loaded as CSV and parsed dynamically, with axes animating alongside the transitions.

WWRCIECH

Animated Reusable Scatter Plot w/ Menus

This example visualizes the Iris Dataset with an animated scatter plot that lets users switch both axes independently via dropdown menus. The visualization supports both quantitative and categorical variables, using D3 scales and transitions to smoothly animate circle positions and axis updates over 2 seconds. The chart is built with reusable D3 functions `scatterPlot` and `menu`, rendering SVG elements with `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` for the axes and controls.

MMichael Bergerson

D3 animated Scatter Plot with menus

This interactive visualization displays the Iris dataset through an animated scatter plot where users can dynamically select which attributes appear on the X and Y axes using dropdown menus. Each species is represented by a distinct symbol and color. The scatter plot is built with D3 version 6, using a modular reusable chart pattern for the scatterPlot and menu components. Changing menu selections triggers transitions with a 1000ms duration, smoothly animating the data points and axes to their new positions.

JJuanmaBV

Animated Scatter Plot with Menus

This example presents an interactive scatter plot of the Iris dataset, where dropdown menus let users switch which attributes map to the X and Y axes. Built with D3 v6, the visualization animates point positions and axis scales over one second using `transition()`, while the HTML menus are created with a custom `menu()` component that dispatches change events. SVG circles grow from a zero radius on entry, and the plot is rendered using scaleLinear, axisLeft, and axisBottom.

CCurran Kelleher

Animated Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris dataset, allowing users to dynamically switch the X and Y axes via dropdown menus. Built with D3.js, it uses a reusable chart module and a custom menu component. The plot animates data point transitions and axis rescaling over one second, with a staggered delay. Data is loaded from a remote CSV, and the chart renders as an SVG, filling the browser window.

KKhanin Sisaengsuwanchai

Animated Scatter Plot with Menus

This example presents an animated scatter plot of the Iris dataset, where users can select which quantitative attributes to map to the x- and y-axes via interactive dropdown menus. The visualization uses D3 v6 with SVG rendering, and employs the `selection.join` pattern to smoothly transition circles between positions as axis mappings change. Axes are updated using `d3.axisLeft` and `d3.axisBottom`, with `d3.transition` providing a 1000-millisecond animation effect on circle repositioning and radius growth.

KKaustav Sen

adding menus to animation of reusable D3 scatterplot

This example demonstrates an animated, reusable D3 scatterplot of the Iris dataset, with dropdown menus that let users select which quantitative columns appear on the x- and y-axes. The visualization renders data points as SVG symbols colored by species, with smooth transitions updating point positions and axis scales when selections change. The code builds on D3 v7 APIs including `scaleLinear`, `scaleOrdinal`, `symbol`, `transition`, and `dispatch`, while the menus are implemented as a reusable function that emits custom `change` events. The scatterplot itself is structured as a configurable function with setter methods for dimensions, data accessors, and styling options.

SSamuele Greco