Animated Reusable D3 Scatter Plot

100%

Animated Reusable D3 Scatter Plot

✓ Published0🌍 Public

Last edited Aug 21, 2026

Created on Aug 21, 2026

This example presents an interactive scatter plot of the classic Iris dataset, using D3.js to visualize the relationships between sepal and petal measurements. The visualization cycles through different variable pairings on the x-axis every three seconds, with animated transitions between states. It employs D3's `scaleLinear` for coordinate mapping, `transition` for smooth animations, and the `.join` pattern for idempotent SVG rendering with growing and updating circles. Data is loaded via `d3.csv` and parsed dynamically.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Animated Reusable D3 Scatter Plot

This D3.js example shows the classic Iris dataset as an animated scatter plot, cycling between different measurements on the x-axis every three seconds. Each point represents a flower, with its y-axis fixed to sepal length while the x-axis transitions between petal width, sepal width, petal length, and sepal length. The reusable `scatterPlot` function leverages D3's `scaleLinear` for axes, `transition` for smooth 1000-millisecond animations, and a `join` operation to handle entering, updating, and exiting circle elements.

Wwspwll@gmail.com

95% match

Loading thumbnail…

Animated reusable D3 scatter plot

This interactive scatter plot visualizes the classic Iris dataset, showing how different flower measurements relate to each other. The visualization cycles through four different x-axis dimensions—petal width, sepal width, petal length, and sepal length—every five seconds. It uses a reusable D3 component pattern with the `scatterPlot` function, leveraging D3's `scaleLinear` for axes, `transition` for animated updates, and the `.join()` operation for efficient circle insertion, updating, and removal. The data loads asynchronously via `d3.csv`.

Bbjfmbeck

94% match

Loading thumbnail…

Animated Reusable D3 Scatter Plot

This example visualizes the Iris Dataset as an animated, reusable scatter plot built with D3 v7. It displays sepal and petal measurements as circles, cycling the x-axis variable every two seconds among petal width, sepal width, petal length, and sepal length. Using `scaleLinear`, `axisLeft`, `axisBottom`, and a custom `scatterPlot` function, it smoothly transitions circle positions and axis scales over a 2000-millisecond duration with `transition`. SVG rendering handles the marks, labels, and axes.

MMichael Bergerson

94% match

Loading thumbnail…

Animated Reusable D3 Scatter Plot

This example visualizes the classic Iris flower dataset as a scatter plot that cycles through different variable pairings every three seconds. Each circle represents a flower, with its position mapped to the selected x and y axes, and points animate smoothly to their new locations. The visualization uses D3 v7’s reusable module pattern, with `scaleLinear`, `axisLeft`, `axisBottom`, and `transition` to handle the animated updates of both circles and axes. The x-value changes among four measurement columns, while the y-value remains fixed, highlighting correlations between sepal and petal dimensions.

Lliu yang

94% match

Loading thumbnail…

Animated Reusable D3 Scatter Plot

This example demonstrates a reusable scatter plot that animates between different dimensions of the Iris dataset, cycling through petal width, sepal width, petal length, and sepal length every 3 seconds. The visualization uses D3 v6’s `scaleLinear`, `axisLeft`, and `axisBottom` to render axes, while `transition` and selection joins animate circle positions and axes smoothly. The code loads CSV data via `d3.csv` and implements a configurable chart function with setter methods for width, height, data, and margin.

CCurran Kelleher

94% match

Loading thumbnail…

Reusable D3 Scatter Plot

This example displays the Iris Dataset as an animated scatter plot, cycling through different dimension pairs (petal width, sepal width, and length) every two seconds. The visualization uses D3’s `scaleLinear`, `axisLeft`, and `axisBottom` to map data points and render axes, while a reusable `scatterPlot` function updates circles and axes in place. Data is loaded via `d3.csv`, and the animation is driven by `setInterval`, with SVG rendering handled throughout.

MMichael Bergerson

94% match

Loading thumbnail…

Fork of Animated Reusable D3 Scatter Plot

This animated scatter plot visualizes the Iris dataset, cycling through different pairings of sepal and petal measurements every three seconds. The chart uses D3 v6 with a reusable module pattern, employing `scaleLinear`, `axisLeft`, `axisBottom`, and `selection.join` to handle enter, update, and exit states. As the axes change, circles transition smoothly via `transition().duration(1000)`, with new points growing from radius zero and existing points repositioned with staggered delays. Rendered as an SVG filling the viewport, it demonstrates dynamic data binding and responsive chart updates.

Ssirenajbpearl@gmail.com

93% match

Loading thumbnail…

Fork of Animated Reusable D3 Scatter Plot

This example shows an animated scatter plot of the Iris dataset, cycling through different combinations of sepal and petal measurements every three seconds. The chart is built with d3.v6, using `scaleLinear`, `axisLeft`, `axisBottom`, and `selection.join` to handle enter, update, and exit transitions. Circles grow from radius zero on entry, smoothly reposition with staggered delays during updates, and the axes animate alongside using `transition`. Data loads as CSV from a gist, and the SVG renders full-screen with a custom font.

Sszhang99

93% match