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This interactive scatter plot visualizes the Iris dataset, exploring relationships between sepal and petal measurements across three species. The visualization animates by cycling through different feature combinations on the x-axis, with each species represented by a distinct color. Built with React and D3.js, it uses CSV data loading, linear scaling, and SVG rendering. The code demonstrates reusable chart components, with axes and circles updated dynamically via D3’s join operation and `setInterval` for the animation loop.

Aadapavaishnavi12

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This interactive scatter plot visualizes the Iris dataset, encoding petal and sepal measurements for three species of iris flowers. The visualization cycles through different x-axis variables every few seconds using `setInterval`, animating transitions between petal width, sepal width, petal length, and sepal length. The plot uses D3 version 6.7.0 with `scaleLinear`, `axisLeft`, and `axisBottom` to render axes, while SVG circles represent individual data points colored by species. A custom legend and axis labels are dynamically appended to the SVG, with the overall rendering built through a reusable `scatterPlot` function.

HHema1430

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This interactive scatter plot animates through the Iris dataset, cycling through four possible feature pairings for the x-axis while keeping petal width on the y-axis. The visualization uses D3.js v6 within a React context to render SVG circles colored by species, with a static legend and axis labels. The code employs `scaleLinear` for mapping data to coordinates, `axisLeft` and `axisBottom` for axes, and `setInterval` to trigger sequential updates via the reusable `scatterPlot` module, which re-computes scales and redraws marks on each step.

Aav.dj.2000@gmail.com

Reusable_D3_Scatter_Plot.

This interactive scatter plot visualizes the Iris dataset, cycling through four feature pairs on the x-axis while keeping sepal length on the y-axis. The visualization uses D3.js with React to render animated SVG circles, colored by species, and includes a legend and axis labels. The code leverages D3 utilities like `scaleLinear`, `axisLeft`, and `axisBottom`, with a custom reusable `scatterPlot` component and `setInterval` to rotate the plotted columns.

Ggayathrikavya

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This interactive scatter plot visualizes the Iris dataset, cycling through different feature pairings on the x-axis every few seconds. Points are color-coded by species (setosa, versicolor, and virginica), with a legend and axis labels updating dynamically. Built with D3 v6 and React, the visualization uses `d3.csv` to load data, `scaleLinear` and `axisBottom`/`axisLeft` for scales and axes, and `setInterval` to animate transitions between sepal and petal measurements. SVG circles render the data, while CSS styling applies a custom font.

NNikitha123171

Fork of Reusable_D3_Scatter_Plot.

NNikitha123171

Fork of Reusable_D3_Scatter_Plot.

NNikitha123171

Fork of Reusable_D3_Scatter_Plot.

This interactive scatter plot visualizes the Iris dataset, cycling through four different feature pairs on the x-axis every few seconds. The plot uses D3.js v6 within a React framework, rendering SVG shapes for data points, axes, and a color-coded legend for species. The code implements a reusable scatterPlot function with scaleLinear scales and axis generators, while also appending custom text labels and legend markers directly to the SVG.

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