Fork of Reusable D3 Scatter Plot

Fork of Reusable D3 Scatter Plot

This example presents an animated scatter plot of the Iris dataset, cycling through different flower measurements (petal width, sepal width, petal length, and sepal length) on the x-axis every two seconds. The visualization is created with D3 and follows a reusable chart pattern, using `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` from the `d3` library. It renders as an SVG, with circles positioned by the current x and y value scales, and axes that update on each interval.

JJyothicherukuri

Fork of Reusable D3 Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, showing the relationship between two flower measurements at a time. The plot cycles every two seconds between four different x-axis attributes—petal width, sepal width, petal length, and sepal length—while keeping sepal length on the y-axis. It uses D3 v6 APIs like `scaleLinear`, `axisLeft`, `axisBottom`, and a reusable `scatterPlot` function with setter methods. Animated transitions are driven by `setInterval`, rendering circles and axes as SVG elements in a full-window view.

Aa1615

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.

Sshailajat1998@gmail.com

Fork of Reusable D3 Scatter Plot

This example presents an interactive scatter plot of the Iris dataset, cycling through different feature pairings on the x-axis every two seconds. Built with D3 v6, it uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map data to SVG circles. The chart is reusable via a custom `scatterPlot` function that exposes setters for width, height, data, margins, and accessor functions, allowing the x-axis to dynamically switch between petal width, sepal width, petal length, and sepal length while the y-axis remains fixed on sepal length.

RRohith arabati

Fork of Reusable D3 Scatter Plot

This example presents an animated scatter plot of the Iris Dataset, cycling through the four measured attributes (petal width, sepal width, petal length, and sepal length) on the x-axis while sepal length remains on the y-axis. It demonstrates a reusable chart pattern using D3 v6, where a `scatterPlot` function returns a configurable closure that sets scales, joins circle elements to data, and renders axes with `axisLeft` and `axisBottom`. The visualization rotates through columns every two seconds via `setInterval`, updating the x-value accessor and re-invoking the chart. It loads data asynchronously with `csv` from a GitHub Gist and renders in SVG within the full browser viewport.

Ssudhamshu24

Fork of Reusable D3 Scatter Plot

This animated scatter plot uses the D3.js library to visualize the Iris Dataset, cycling through different feature combinations every two seconds. The chart displays petal and sepal measurements as circles, with axes that update to reflect the currently selected dimensions. Using D3's `scaleLinear`, `extent`, and axis functions, the visualization smoothly transitions between four variable pairings, always keeping the y-value fixed on sepal width while rotating the x-axis through petal width, sepal width, petal length, and sepal length.

MManideepChakilam

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

Fork of Reusable D3 Scatter Plot

This example showcases the classic Iris dataset as an animated scatter plot. It cycles through the four numeric columns (petal and sepal measurements) on the x-axis every two seconds, while the y-axis displays sepal length. The visualization uses D3.js v6, specifically leveraging `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` within a custom reusable `scatterPlot` function. It renders as an interactive SVG, with animated axes and circular marks that update as the data mapping changes.

RRadhakrishna246