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This interactive scatter plot visualizes the Iris dataset, showing the relationship between petal and sepal measurements across three species. The visualization uses d3.scaleLinear, d3.axisLeft, and d3.axisBottom to render SVG axes and circles, with a setInterval that cycles the x-axis through four measurement columns every few seconds. The code imports data via d3.csv, applies custom color coding for species, and includes a legend with labeled points. A separate scatterPlot function encapsulates the chart's reusable structure.

Vviswak12

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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, 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.

Fork of Reusable D3 Scatter Plot

This example demonstrates an interactive scatter plot of the Iris flower dataset, cycling through four different variable pairings every two seconds. Each circle's color encodes the species, with a legend identifying the three categories. Built with React and D3 v6, it uses `d3.csv` for data loading, `d3.scaleOrdinal` for color mapping, and `d3.axisBottom` and `d3.axisLeft` for the coordinate axes. The visualization renders as SVG with CSS animations, transitioning between views via `setInterval`.

Fork of Reusable_D3_Scatter_Plot.

This interactive scatter plot displays the Iris dataset, using D3 v6 to render SVG circles colored by species (red for setosa, violet for versicolor, orange for virginica). The visualization cycles through four flower measurements—petal width, sepal width, petal length, and sepal length—on the x-axis via `setInterval`, while sepal length remains on the y-axis. It uses `d3.csv` for data loading, `d3.scaleLinear` for axes, and includes a static legend with labeled species points.

DDonald Bagwell

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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.

94% match

Fork of Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris dataset, showing the relationship between different flower measurements (petal and sepal length/width) as colored points for three species. Using D3.js within a React framework, the code animates through different x-axis metrics on an interval, updating the axes and circles. The plot uses `d3.select`, `d3.csv`, and custom `scatterPlot` logic with `scaleLinear`, `axisLeft`, and `axisBottom` to render the SVG, while a static legend with colored markers identifies each species.

Pprathyusha-reddy-arch

94% match

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This animated scatter plot explores the Iris flower dataset, cycling through different sepal and petal measurement pairs on the axes every two seconds. The visualization uses the D3.js library's `scaleLinear`, `axisLeft`, and `axisBottom` APIs within a custom reusable `scatterPlot` module, rendering data points as colored circles in SVG. Species are distinguished by a color scale using D3's `scaleOrdinal`, and a legend identifies the three iris types. The chart updates its axis labels and point positions dynamically through a `setInterval` timer.