Skip to main content
SimilarExport ZIP
100%

bhargava ICE7

✓ Published2🌍 Public
Bbhargavarathod
Last edited Mar 29, 2022
Created on Mar 28, 2022
Forked from HTML Starter

This example presents the Iris Dataset through a reusable scatter plot built with D3 v6. It initially displays petal width against petal length, with points colored by species. Enabled by an animation loop, the plot automatically cycles through all four dataset dimensions every two seconds, rotating the variable mapped to the x-axis. The visualization uses D3's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs within a custom `scatterPlot` module, rendering marks as SVG circles.

AI-generated description

A reusable scatter plot inspired by Towards Reusable Charts.

Shows the Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

bhargava ICE7-1

This example presents a dynamic scatter plot visualization of the Iris dataset, showcasing four quantitative variables through an animated cycling of axes. The visualization renders SVG circles colored by species using a D3 ordinal color scale, with the x-axis toggling between petal width, sepal width, petal length, and sepal length every two seconds via JavaScript's `setInterval`. The chart updates its axes and points through D3's `scaleLinear`, `axisLeft`, and `axisBottom` APIs within a React-based framework, reading data from a GitHub Gist CSV file.

Bbhargavarathod
92% match
Loading thumbnail…

ICE7 - Reusable Scatter Plot

This example presents a reusable scatter plot visualizing the Iris Dataset, with data points colored by species. Built with D3.js v6, the plot cycles through different attribute pairs on the x-axis, including petal width, sepal width, petal length, and sepal length, updating the axes and circles each second. It uses `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to construct the chart, along with SVG elements for rendering and a fixed legend for species identification. The implementation follows a reusable chart pattern, allowing dynamic configuration of dimensions, margins, and value accessors.

Ssuchitra2602
89% match
Loading thumbnail…

ICE-7 (Reusable D3 Scatter Plot)

This example presents an animated scatter plot of the Iris dataset using a reusable D3 module. It shows how petal width and sepal length correlate across iris species, with points colored green, blue, or black by species. The visualization cycles through different measurement pairs on the x-axis every two seconds using `setInterval`. It leverages D3 v6 APIs including `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `selectAll`, rendering as SVG circles with radii set by the `.radius()` method.

AAnjan Shrestha
89% match
Loading thumbnail…

ICE-7 Scatter plot

This D3.js example visualizes the Iris Dataset with an animated scatter plot that cycles through different numeric attributes every two seconds. The plot maps petal width and sepal length onto the x and y axes, using `d3.scaleLinear` for scaling and `axisLeft`/`axisBottom` for tick marks. Each point is rendered as an SVG circle with a fixed radius, and the axes update dynamically as the displayed column changes. The animation loops through petal width, sepal width, petal length, and sepal length, demonstrating how the data distribution shifts across dimensions.

Aabdhaseeeb
88% match
Loading thumbnail…

Reusable D3 Scatter Plot- ICE7

This animated scatter plot visualizes the Iris dataset, cycling through four flower measurements (petal width, sepal width, petal length, sepal length) on the x-axis while keeping sepal length on the y-axis. Data points are colored by species using orange, blue, and black marks. The example demonstrates a reusable scatter plot component built with D3 v6, using `d3.csv` for data loading, `d3.scaleLinear` and `d3.extent` for scaling, and `d3.axisLeft` and `d3.axisBottom` for axes. A `setInterval` updates the x-value mapping, triggering re-renders with SVG circles and a custom legend.

LLakshmiVandanaNunna
88% match
Loading thumbnail…

ICE7

This example visualizes the Iris dataset using a reusable scatter plot built with D3.js. It animates through different numeric attribute pairings on the x-axis every two seconds, while color-coded circles represent the three iris species—setosa, versicolor, and virginica—in yellow, purple, and green. The plot uses D3 scales, axes, and data joins to render SVG circles, with each mark’s size and position driven by sepal and petal measurements. The code includes a custom scatterPlot factory function to manage margins, scales, and axis updates.

Ssowmyanagula@my.unt.edu
88% match
Loading thumbnail…

ICE-7 Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris dataset, mapping sepal and petal measurements to positions on a D3.js canvas. The visualization cycles through different attribute pairs every two seconds, updating the x-axis and redrawing circles using the `scatterPlot` reusable chart component. Data points are color-coded by species, with a legend indicating categories. The example demonstrates a modular approach to building dynamic charts, leveraging D3 v6's `scaleLinear`, `axisLeft`, and `axisBottom` APIs for scalable, animated data exploration.

BBhanuMotupalli
88% match
Loading thumbnail…

ICE 7: Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris dataset, mapping petal width and sepal length for three flower species distinguished by color. The visualization animates through different x-axis dimensions—petal width, sepal width, petal length, and sepal length—cycling every 1.5 seconds while updating axis labels. Built with D3 v6, it uses `scaleLinear`, `axisBottom`, `axisLeft`, and a reusable `scatterPlot` function to generate SVG circles and legends. Data loads from a CSV URL via D3’s `csv` method with automatic type parsing.

PPYATA SHARAN
88% match