Fork of Reusable D3 Scatter Plot test

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Fork of Reusable D3 Scatter Plot test

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Last edited Mar 27, 2022

Created on Mar 27, 2022

This reusable scatter plot visualizes the Iris Dataset, showing petal width against sepal length. D3 v6 functions like `scaleLinear`, `axisLeft`, and `axisBottom` render SVG axes, while circles are joined and updated via `join`. The chart cycles through four numerical columns every two seconds using `setInterval`, re-assigning the x-value function and re-calling the chart on a full-screen SVG. Points animate smoothly as axes rescale, demonstrating a modular chart factory pattern with setters for width, height, data, and margin.

AI-generated description

A reusable scatter plot inspired by Towards Reusable Charts.

Shows the Iris Dataset.

MIT Licensed

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This example visualizes the Iris dataset using D3.js, displaying a scatter plot of petal and sepal measurements. The code uses reusable chart components from `scatterPlot.js` with D3 scales like `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`. The plot animates by cycling through different measurement combinations every two seconds using `setInterval`, with SVG circles colored by species. Data loads from a CSV via `d3.csv`, and the chart adapts to the full window size with configurable margins and radius.

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This interactive scatter plot visualizes the Iris Dataset, cycling through four numeric attributes on the x-axis every two seconds. The reusable chart component uses D3 v6’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map petal and sepal measurements to SVG circles with a fixed radius. Axes update dynamically via `setInterval`, while the chart’s configuration methods for width, height, margins, and value accessors enable customization. The visualization demonstrates a modular pattern for building flexible, animated plots with D3’s data joins and SVG rendering.

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This example presents a scatter plot of the Iris dataset, with axes for sepal length and petal width. The visualization cycles through different data columns every two seconds, updating the x-axis and circle positions via a `setInterval` callback. It is built with D3 v6, using `scaleLinear`, `axisLeft`, and `axisBottom` for scales and axes, and a reusable chart function pattern. The SVG rendering includes animated transitions as the data mapping changes.

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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.

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This example demonstrates a reusable scatter plot that visualizes the Iris dataset, cycling through four numerical 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. It uses D3.js v6 with `scaleLinear`, `axisLeft`, and `axisBottom` to render axes, and updates the visualization by re-calling the chart function. The plot renders as SVG circles with animated transitions, and the code dynamically binds new data values to update the x-scale domain and circle positions, showcasing a modular chart pattern for interactive data exploration.

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