Skip to main content
SimilarExport ZIP
100%

Fork of Reusable D3 Scatter Plot

✓ Published0🌍 Public
Pprathyusha-reddy-arch
Last edited Mar 30, 2023
Created on Mar 27, 2023

This interactive scatter plot visualizes the Iris dataset, cycling through different feature combinations on the x-axis every few seconds. It uses D3 v6 APIs including `scaleLinear`, `axisLeft`, `axisBottom`, and `csv` to load and render the data as SVG circles colored by species. The visualization includes a legend, axis labels, and a title, with circles positioned based on four numeric flower measurements.

AI-generated description

A reusable scatter plot inspired by Towards Reusable Charts.

Shows the Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Fork of Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris dataset, cycling through different feature combinations on the x-axis every two seconds. The chart uses SVG circles colored by species (setosa, versicolor, and virginica) to reveal clustering patterns in the flower measurements. Built with D3 v6, the example demonstrates a reusable scatter plot module that separates axis rendering from data point positioning. The code imports specific D3 functions including `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct the visualization. The plot animates by updating the x-value mapping through a `setInterval` loop, while the y-axis remains fixed on sepal length.

SSheshidharreddy
95% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris dataset, displaying petal width against sepal length with circles colored by species (setosa, versicolor, virginica). It animates through different dimension pairings on the x-axis every few seconds using `setInterval`. Built with D3 v6, it uses `scaleLinear`, `axisBottom`, `axisLeft`, and `csv` for data loading, while SVG circles and text labels render the chart and legend dynamically.

Pprathyusha-reddy-arch
95% match
Loading thumbnail…

Fork of Fork of Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris dataset, with the x-axis cycling through different flower measurements every two seconds while the y-axis remains fixed to sepal length. The visualization uses D3 v6 APIs including `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`, along with SVG circle marks and animated transitions via `setInterval`. The axis scales recalculate when the selected column changes, smoothly updating the points and tick marks to reveal correlations between different iris features.

Nnsatyaprakash22
94% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This visualization is an animated scatter plot of the Iris dataset, cycling through four different measurement pairs on the x-axis while the y-axis remains fixed to sepal length. It uses D3 v6 APIs including `csv`, `scaleLinear`, `axisLeft`, and `axisBottom`. The code renders circles and text via SVG and updates the plot every few seconds using `setInterval`. Colors map to iris species, and a custom legend with labeled circles is drawn outside the main plot, alongside axis titles that change depending on the current x-axis variable.

Vviswak12
94% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris dataset, displaying points that correspond to different flower measurements. The chart cycles through four attribute combinations every two seconds, alternating which flower features are mapped to the x-axis while keeping sepal length on the y-axis. Built with D3 v6, the visualization uses reusable chart functions, `scaleLinear` for axis scaling, and `setInterval` to drive the animation. SVG circles and axes render the data, sourced from a GitHub-hosted CSV file, with a custom font applied to all text elements.

SSreejaBellamkonda
94% match
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
93% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris Dataset, cycling through different feature combinations every two seconds. Built with D3 v6, it uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map sepal and petal measurements onto an SVG canvas. The chart is implemented as a reusable function via the module pattern, with animated transitions between four variable pairings, all rendered with selectable data-binding and circle marks.

VVenkata Rajashekar Reddy Chinthala
93% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This visualization displays the Iris dataset as an animated scatter plot, cycling through different feature pairs every two seconds. It uses D3.js v6 with reusable chart components, employing `scaleLinear` for axes, `scaleOrdinal` with `symbols` for point shapes, and `axisLeft`/`axisBottom` for tick marks. The plot transitions between four measurement columns—PetalWidth, SepalWidth, PetalLength, and SepalLength—using `setInterval` to redraw the SVG with new x-value assignments.

Bbhanuteja1807@gmail.com
93% match