Fork of Animated Reusable D3 Scatter Plot

Fork of Animated Reusable D3 Scatter Plot

This example animates a scatter plot of the Iris Dataset, cycling through columns as the x-axis variable (petal width, sepal width, petal length, sepal length) every three seconds. It renders as an SVG with D3’s `scaleLinear`, `axisLeft`, and `axisBottom` for axes, and uses the `selection.join` API for efficient circle and axis updates. Transitions via `transition()` with a one-second duration and staggered delays smoothly reposition the points and axes. The chart is reusable, configured through chained methods like `.width()`, `.data()`, and `.xValue()`.

EEmma Schaale

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

Fork of Animated Reusable D3 Scatter Plot

This animated scatter plot cycles through four different measurements from the Iris dataset, showing how petal width, sepal width, petal length, and sepal length relate on the x-axis while sepal length remains constant on the y-axis. Built with D3 v6, it uses the `scaleLinear` and `extent` functions to compute scales, `transition` for smooth 1-second animations with staggered delays, and the `selection.join` API to efficiently add, update, and remove circles as the x-value changes every 3 seconds. The visualization is rendered as SVG with data loaded from a CSV file.

DDasbach.EJ

Fork of Animated Reusable D3 Scatter Plot

This animated scatter plot visualizes the Iris dataset, cycling through four measurement dimensions—petal width, sepal width, petal length, and sepal length—every three seconds. Each of the 150 data points represents a flower, with its position and axes updating smoothly. The visualization uses D3 v6 with `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `transition` to animate both the circles and axes. Rendering is SVG-based, with a reusable `scatterPlot` function that handles entering, updating, and exiting elements via selection.join.

YYUTONG FENG

Fork of Reusable D3 Scatter Plot

This visualization displays the Iris dataset as an animated scatter plot, cycling through four flower measurements (petal width, sepal width, petal length, sepal length) on the x-axis every two seconds while sepal length stays on the y-axis. Built with D3 v6, it uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map the data, and a reusable `scatterPlot` function that updates the circles and axes via SVG selections. The animation runs through `setInterval`, redrawing the plot with a new x-value accessor each cycle.

GGogineni44

Fork of Animated Reusable D3 Scatter Plot

This animated scatter plot cycles through different measurements of the Iris dataset, shifting the x-axis every three seconds among petal width, sepal width, petal length, and sepal length while keeping sepal length on the y-axis. Built with D3 v6, it uses a reusable chart pattern and selection.join to smoothly transition circles and axes over one-second durations. The SVG visualization grows circles on entry, staggers update delays, and renders axis labels in the Share Tech font.

JJonas Carvalho

Fork of Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris Dataset, cycling through four different x-axis variables (petal width, sepal width, petal length, sepal length) every two seconds to compare against sepal length on the y-axis. Built with D3 v6, it uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render axes, while circles are created via a `.join` operation. The visualization demonstrates a reusable chart pattern where the same plot function is re-invoked with new data mappings, producing an animated tour of the dataset's dimensions.

MM Hema

Fork of Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris dataset, cycling through four measured attributes (petal width, sepal width, petal length, and sepal length) on the x-axis every two seconds while keeping sepal length on the y-axis. Built with D3 v6, it uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render axes, and updates circle positions via a reusable `scatterPlot` function with a `setInterval` loop. The animation transitions the x-value accessor to reveal different feature relationships, with all rendering done in SVG within a full-screen viewport.

Sshailajat1998@gmail.com