Skip to main content
SimilarExport ZIP
100%

Fork of Reusable D3 Scatter Plot

✓ Published0🌍 Public
Kkakumanusreya
Last edited Mar 28, 2023
Created on Mar 28, 2023

This interactive scatter plot visualizes the Iris Dataset, displaying measurements of sepal and petal dimensions across three flower species. The visualization cycles through different x-axis variables every two seconds, animating transitions between PetalWidthCm, SepalWidthCm, PetalLengthCm, and SepalLengthCm. Built with D3 v6, the example uses the reusable chart pattern with `scaleLinear`, `axisLeft`, and `axisBottom` APIs. Circles representing individual flowers are colored by species—red for setosa, violet for versicolor, and orange for virginica—while the interface responsively fills the browser window.

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 animated scatter plot visualizes the Iris dataset, showing the relationship between petal width and sepal length for three flower species. The visualization cycles through different variable pairings every two seconds, rotating among petal_width, sepal_width, petal_length, and sepal_length on the x-axis. Built with D3 v6, the example uses `scaleLinear` and `scaleOrdinal` for axes and color encoding, with circles rendered as SVG elements. Data loads from a GitHub Gist CSV, and the reusable `scatterPlot` function updates axes and marks dynamically through a `setInterval` loop.

KKeerthipriyaBankuru
95% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris dataset, showing petal width against sepal length with points colored by species. Built with D3 v6, the visualization cycles through different variable pairings every two seconds using a reusable chart pattern. The SVG marks use the `d3.scaleLinear` and `d3.scaleOrdinal` APIs, with axes generated by `axisBottom` and `axisLeft`. A legend identifies the three species, while a `setInterval` loop updates the x and y value functions to animate through the dataset’s four numeric columns.

MMar-99
95% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This animated scatter plot cycles through the Iris dataset, visualizing sepal and petal measurements across four dimensions. It uses the D3 v6 library to render circles via SVG, with a reusable `scatterPlot()` chart factory that updates scales and axes as the x-axis variable changes every few seconds. Each flower species is color-coded—red, violet, or orange—and labels are added dynamically. The datastream comes from a CSV file parsed with `d3.csv`, while `scaleLinear`, `axisLeft`, and `axisBottom` handle the coordinate system.

JJasvitha Allamsetty
94% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This interactive scatter plot presents the Iris Dataset, allowing viewers to explore relationships between different flower measurements. The visualization cycles through four variable pairings every two seconds, shifting the x-axis between petal width, sepal width, petal length, and sepal length while the y-axis remains sepal length. Built with D3 v3, it employs a reusable scatter plot component that uses `d3.scaleLinear` for scaling, `d3.extent` for domains, and `d3.axisLeft` and `d3.axisBottom` for axes. The SVG rendering animates data point positions using D3's selection join pattern with the `setInterval` function.

RRupeshGandham
94% match
Loading thumbnail…

Fork of Fork of Reusable D3 Scatter Plot

This interactive scatter plot explores the Iris dataset, visualizing relationships between petal and sepal measurements across three flower species. The visualization cycles through different variable pairings every two seconds, updating the axes and point positions accordingly. Built with reusable D3 components, it leverages `scaleLinear`, `scaleOrdinal`, `axisLeft`, `axisBottom`, and `extent` from D3 6.7.0, using SVG rendering with animated transitions and a color-coded legend for species identification.

MMar-99
94% match
Loading thumbnail…

Fork of Fork of Reusable D3 Scatter Plot

This interactive scatter plot displays the Iris dataset, encoding petal and sepal measurements for three flower species. The D3.js (v6.7.0) visualization cycles through four column combinations on the x-axis while the y-axis remains fixed, animating the points with each interval. A legend identifies species by color (green for setosa, orange for versicolor, blue for virginica). The implementation uses reusable scatter plot logic from `scatterPlot.js` with `scaleLinear`, `axisLeft`, and `axisBottom`, while `index.js` handles data parsing, marker styling, and dynamic axis updates.

Cchandanagandla
94% match
Loading thumbnail…

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.

MM Hema
94% match
Loading thumbnail…

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
94% match