Skip to main content
SimilarExport ZIP
100%

Fork of Reusable D3 Scatter Plot

✓ Published0🌍 Public
Mmahee0725
Last edited Jul 2, 2022
Created on Jul 2, 2022

This interactive scatter plot cycles through four different attribute pairings of the Iris Dataset every two seconds, animating the positions of the data points. Built with D3.js, it uses the `scaleLinear` API for value-to-coordinate mapping, `axisLeft` and `axisBottom` for chart scaffolding, and `selectAll` with the `join` operator to update SVG circles. The plot resizes to fill the browser window and renders with a custom font.

AI-generated description

A reusable scatter plot inspired by Towards Reusable Charts.

Shows the Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris dataset, dynamically cycling through different feature pairings on the x-axis every two seconds. Built with D3, the visualization uses a reusable `scatterPlot` component to render SVG circles and axes, leveraging `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs. The plot updates in place, animating between four different columns of the dataset while maintaining consistent scaling and margins.

Nnavyasrimeka9@gmail.com
94% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This example demonstrates a reusable scatter plot built with D3, visualizing the Iris dataset. It cycles through four attribute pairs every two seconds, updating the x-axis and circle positions with animated transitions. The code uses D3's `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and a custom `scatterPlot` module, rendering SVG circles and axes. The plot dynamically re-renders with new data mappings, showcasing a flexible, configurable chart component.

Yyisha huang
94% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This interactive scatter plot uses the classic Iris dataset to explore relationships between flower measurements, dynamically cycling through different attribute combinations every two seconds. Built with D3.js v6, the visualization leverages reusable chart components like `scaleLinear`, `axisLeft`, and `axisBottom` to render axes and circles via an SVG. The code demonstrates the utility of the `join` pattern for idempotent updates, allowing the plot to smoothly transition between four variable pairings while maintaining consistent margins, radius, and styling.

KKerim
93% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This animated scatter plot visualizes the Iris Dataset, cycling through four attribute pairings every two seconds. Built with D3 v6, it uses reusable chart patterns via a custom `scatterPlot` function, employing `scaleLinear`, `axisLeft`, and `axisBottom` for rendering. SVG circles display sepal and petal measurements, with axes updating dynamically as the x-value changes from petal width to sepal width, petal length, and sepal length.

KKeerthipriyaBankuru
93% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This example visualizes the Iris Dataset as an animated scatter plot, cycling through four attribute combinations every two seconds. Built with D3 v6, it uses `scaleLinear`, `axisLeft`, and `axisBottom` to render axes, while `selectAll` and `.join` manage circle updates. The plot is reusable via a closure-based factory pattern, configured with setters for width, height, data, and margins. SVG rendering fills the viewport, with species color-coded (orange, blue, green) though the marker function is defined but not applied to the visible circles.

Ggayathri
93% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This fork of the reusable D3 scatter plot visualizes the Iris Dataset, cycling through four attribute combinations every two seconds to show different projections of the data. The plot uses D3’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to compute scales and render axes, while SVG circles represent each flower. The code demonstrates a modular chart design with configurable accessor functions, enabling dynamic updates to the x-axis variable without redrawing the entire visualization.

NNavaneeth-Ragi
93% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This example displays the Iris Dataset as an animated scatter plot, cycling through four different feature combinations every two seconds. The visualization is constructed using D3.js version 6.7, leveraging `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map data values to SVG circle positions. The plot is rendered as a full-window SVG, with data loaded from a CSV file hosted on GitHub. A reusable `scatterPlot` charting function encapsulates the rendering logic, allowing dynamic updates of the x-axis mapping without rebuilding the entire visualization.

MMar-99
93% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This example shows the Iris Dataset in an animated scatter plot that cycles through different feature pairs every two seconds. It uses a reusable D3 scatter plot component, built with `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` from D3 v6. The plot is rendered as an SVG that fills the browser window, with circles sized by a fixed radius. The animation is driven by `setInterval`, which updates the x-value mapping and re-applies the plot to the SVG element.

0057SatvikDamera
92% match