Scatter Plot

100%

✓ Published0🌍 Public

Last edited Mar 28, 2024

Created on Mar 28, 2024

This animated scatter plot visualizes the Iris dataset, cycling through different feature pairings every two seconds to reveal patterns in flower measurements. The visualization uses D3.js scales and axes to map petal width, sepal length, petal width, and sepal length onto the plot, with circles representing individual data points. The chart animates by re-calling the scatter plot component with new x-value accessors, smoothly updating the axis and circle positions via D3's data join. The SVG rendering and reusable chart pattern follow the "Towards Reusable Charts" methodology.

AI-generated description

A reusable scatter plot inspired by Towards Reusable Charts.

Shows the Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Scatter Plot

This animated scatter plot explores the Iris Dataset, cycling through four measured attributes on the x-axis while keeping sepal length on the y-axis. Built with D3 v6, it uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render axes and circles via SVG. Every two seconds, the plot updates its x-value mapping to a different column, smoothly redrawing points to reveal correlations between petal width, sepal width, petal length, and sepal length. The animation demonstrates a reusable chart pattern with configurable width, height, margins, and radius.

Ppavankalyan1507

93% match

Loading thumbnail…

Iris Scatter Plot

This animated scatter plot explores the Iris dataset by cycling through different feature pairs on the x- and y-axes every three seconds, revealing relationships between sepal and petal measurements. Three Iris species—setosa, versicolor, and virginica—are distinguished by distinct geometric symbols (circle, cross, diamond) and colors. Built with D3.js v7, the SVG visualization uses `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and `d3.symbol` to render the points, axes, and a legend, updating the entire chart on each feature switch.

Ssumanthsomu1

92% match

Loading thumbnail…

Reusable Scatter plot

This animated scatter plot visualizes the Iris dataset, showing relationships between petal and sepal measurements, with points colored by species (setosa, versicolor, virginica). The visualization cycles through different attribute pairs on the axes every two seconds, dynamically updating via a reusable chart component. Built with D3.js v6, it uses scaleLinear for axis scaling, axisLeft and axisBottom for ticks, and SVG circles for marks. The code imports scatterPlot, a custom reusable function following the Towards Reusable Charts pattern, with data loaded via d3.csv.

SSnigdha6698

92% match

Loading thumbnail…

Reusable Scatterplot Example

This reusable scatterplot demonstrates the Iris Dataset by plotting flower measurements as animated, circular marks. The visualization cycles through different feature combinations every two seconds, rotating the x-axis between petal width, sepal width, petal length, and sepal length while keeping sepal length on the y-axis. Built with D3.js, the code uses a custom `scatterPlot` function that leverages `scaleLinear`, `extent`, and axis generators (`axisLeft`, `axisBottom`) to render SVG elements. The example also shows a reusable chart API pattern, where configuration methods like `.data()`, `.xValue()`, and `.margin()` are chained to create an independent, customizable plotting component.

Sskambhore04

92% match

Loading thumbnail…

D3 Scatter Plot

This D3 scatter plot animates through different pairings of the Iris dataset's four measurements every two seconds. It visualizes the data points for petal length against sepal length, then cycles through petal width and sepal width as the x-axis variable, using smooth transitions between states. The visualization is built with `d3.scaleLinear` for scaling, `d3.extent` for domain calculation, and the `join` API to animate circle positions. The SVG is rendered full-screen, with axes drawn using `d3.axisLeft` and `d3.axisBottom`. The code uses a custom `scatterPlot` module to encapsulate the chart's configuration and update logic.

DDominik Stodolny

91% match

Loading thumbnail…

Scatter Plot

This scatter plot visualizes the Iris Dataset, displaying sepal and petal measurements as colored circles representing three flower species. The chart cycles through different measurement combinations every two seconds, updating the x-axis dynamically. Built with D3 v6, it uses `scaleLinear`, `axisLeft`, `axisBottom`, and reusable chart functions. The SVG rendering responds to window dimensions, and the animation runs via `setInterval`, with colors mapping species types.

AAlankruthSai

91% match

Loading thumbnail…

Iris dataset scatter plot

This interactive scatter plot visualizes the Iris dataset, mapping measurements like petal width and sepal length across three flower species. Using D3.js with an SVG rendering and animation, the chart automatically cycles through different x-axis variables every 15 seconds, updating the visualization via a reusable scatterPlot function. The code employs d3.scaleLinear for axes, d3.scaleOrdinal for symbol types, and d3.symbol to render distinct species markers, with data loaded asynchronously from a CSV source.

Ggayathrikavya

91% match

Loading thumbnail…

Animated scatter plot Charts

This example visualizes the Iris dataset as an animated scatter plot that cycles through different feature pairs every second. Circles represent individual flowers, with size encoding petal width and color distinguishing species. Using D3.js v6, the chart leverages reusable chart patterns from a custom `scatterPlot` function, employing `scaleLinear`, `scaleOrdinal`, `axisLeft`, `axisBottom`, and `transition` for smooth updates. The animation transitions circle positions and axes over 750 milliseconds as the x-axis variable rotates among four measurement columns.

AAnupJoseph

91% match