Fork of Reusable D3 Scatter Plot

Last edited Mar 26, 2024

Created on Mar 26, 2024

This interactive scatter plot cycles through four columns of the classic Iris flower dataset, displaying different petal and sepal measurements every two seconds. Using D3.js version 6, the visualization builds a reusable chart component with animated transitions between axes and data points. The code employs scaleLinear, extent, and axis functions to map the quantitative variables, while the Iris dataset is loaded via d3.csv. As the selected x-value changes, the plot updates smoothly, with circles representing individual flower specimens and labeled axes reflecting the current measurement pair.

AI-generated description

A reusable scatter plot inspired by Towards Reusable Charts.

Shows the Iris Dataset.

MIT Licensed

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Fork of Reusable D3 Scatter Plot

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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Fork of Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris dataset, cycling every two seconds through four different variable pairs on the x-axis (petal width, sepal width, petal length, sepal length) while keeping sepal length on the y-axis. Built as a reusable D3.js chart function, it uses `scaleLinear`, `axisLeft`, and `axisBottom` to render axes and animated circle transitions via `svg.call(plot)`. The animation iterates through columns using `setInterval`, updating scales and marks dynamically within a full-screen SVG.

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Fork of Reusable D3 Scatter Plot

This scatter plot displays the Iris flower dataset, plotting petal width against sepal length. It cycles through four different data columns every two seconds, animating the scatter plot's x-axis to show different variable combinations. Built with D3.js v7, it uses a reusable `scatterPlot` module with `scaleLinear`, `extent`, and axis functions. The SVG rendering updates via a `setInterval` loop, re-calling the plot function with new x-axis values.

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Fork of Reusable D3 Scatter Plot 3

This interactive scatter plot displays the Iris Dataset, with points representing individual flowers. The visualization animates through different attribute combinations, cycling the x-axis between petal and sepal measurements every two seconds. Built with D3.js, it uses a reusable `scatterPlot` component that leverages `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` for scaling and axes. The SVG rendering fills the browser window, and the plot updates dynamically when the x-axis value changes, demonstrating a modular charting approach with animated data exploration.

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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.

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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.

Fork of Reusable D3 Scatter Plot

RRohithNaiduDevareddy@my.unt.edu

Fork of Reusable D3 Scatter Plot

This interactive scatter plot cycles through combinations of Iris dataset measurements, animating between different petal and sepal dimensions every two seconds. It uses D3’s `scaleLinear` for axes, `axisLeft` and `axisBottom` for ticks, and data joins to update circle positions. The visualization is rendered as SVG, with each circle’s radius fixed at 5 pixels, and supports dynamic axis rescaling based on the current x-value column.