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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

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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

Fork of Reusable D3 Scatter Plot.

This interactive scatter plot displays the Iris dataset, using colored circles to represent three species. The visualization iterates through four flower measurements, changing the x-axis variable every few seconds while keeping petal width on the y-axis. Built with D3 v6, the example uses `scaleLinear`, `axisBottom`, and `axisLeft` to construct axes, while a `setInterval` callback updates the data bindings. The reusable `scatterPlot` module manages the chart’s dimensions, margins, and scales, and the SVG circles are colored green, brown, and magenta based on species.

Eeravellisaimeghana

Fork of Reusable D3 Scatter Plot.

Eeravellisaimeghana

Fork of Reusable D3 Scatter Plot

This scatter plot visualizes the Iris dataset, using petal width and sepal length as the x and y axes, with points colored by species (setosa, versicolor, virginica). The visualization is built with D3 v6, using the `scaleLinear`, `scaleOrdinal`, and `axisBottom`/`axisLeft` APIs to render axes and a legend. A JavaScript `setInterval` cycles through four column pairings every two seconds, animating the plot to show different variable combinations while the SVG circles update smoothly. The data is loaded from a GitHub Gist CSV file and parsed into numeric fields.

SSheshidharreddy

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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

Fork of Reusable Scatter Plot

This interactive scatter plot visualizes the Iris dataset, with points colored by species and animated to cycle through four feature combinations as the x-axis variable changes every few seconds. The visualization uses D3 v6 with a reusable scatterPlot module that relies on scaleLinear, axisLeft, and axisBottom to render SVG axes and circles. Data loads from a CSV via the d3.csv parser, while a setInterval drives the animation, updating the x-axis mapping between petal width, sepal width, petal length, and sepal length.

GGARIDIDEEKSHITHREDDY

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