Fork of Reusable D3 Scatter Plot- ICE7

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Fork of Reusable D3 Scatter Plot- ICE7

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Last edited Jun 29, 2022

Created on Jun 29, 2022

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This animated scatter plot visualizes the Iris flower dataset, cycling through different petal and sepal measurements on the x-axis while plotting sepal length on the y-axis. Data points are color-coded by species (setosa in orange, versicolor in blue, virginica in white) with a fixed legend. Built with D3 v6, the visualization uses a custom `scatterPlot` module with `scaleLinear`, `axisLeft`, and `axisBottom` to render axes, while `setInterval` cycles through four measurement columns every few seconds. The SVG rendering includes labeled axes and a species legend, with all text styled white against a black background.

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Fork of Reusable D3 Scatter Plot- ICE7

This animated scatter plot visualizes the Iris flower dataset, cycling through four different x-axis measurements—petal width, sepal width, petal length, and sepal length—while keeping sepal length fixed on the y-axis. Each data point is colored by species (setosa, versicolor, virginica), with a static legend. The example uses D3 v6 APIs such as `scaleLinear`, `axisLeft`, `axisBottom`, and `setInterval` to update the chart, rendering SVG circles and text with a custom `scatterPlot` reusable function.

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This animated scatter plot from D3 explores the Iris dataset, cycling through different feature combinations on the x-axis (petal width, sepal width, petal length, and sepal length) while the y-axis remains sepal length. Data points are colored by species (setosa, versicolor, virginica) and rendered as SVG circles with adjustable radii. The visualization uses D3’s `csv`, `scaleLinear`, `axisLeft`, `axisBottom`, and `select` APIs to load data, scale axes, and manage the SVG canvas. A `setInterval` timer triggers the x-axis changes, and a legend with colored dots identifies each species.

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This animated scatter plot visualizes the Iris dataset, showcasing four flower measurements including petal width and sepal length. The visualization cycles through different x-axis variables every few seconds, displaying the data points color-coded by species—orange for setosa, blue for versicolor, and black for virginica. The chart uses D3 v3 with SVG rendering, incorporating reusable chart patterns via the scatterPlot function and axis components. A color legend identifies the three species, and axis labels dynamically update to reflect the currently displayed measurement.

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This interactive scatter plot visualizes the Iris dataset, showcasing the relationships between sepal and petal measurements. The visualization cycles through different x-axis variables (petal width, sepal width, petal length, and sepal length) at intervals, animating the data points accordingly. Points are colored by species—orange for setosa, blue for versicolor, and white for virginica—with a legend and axis labels. Built with D3 v6, the code uses `csv` for data loading, `select` for SVG manipulation, and a custom `scatterPlot` module with `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` for chart rendering.

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This interactive scatter plot visualizes the Iris flower dataset, animating through different feature combinations. A larger scatter plot displays sepal and petal dimensions, while a smaller legend shows color-coded species (setosa, versicolor, and virginica). Built with D3 v6, the `scatterPlot` module uses `scaleLinear`, `axisLeft`, and `axisBottom` APIs. Data is loaded from a CSV file, and a `setInterval` timer cycles through four x-axis variables—petal width, sepal width, petal length, and sepal length—updating the chart's axes and labels dynamically. The SVG rendering includes colored circles, axis labels, and a titled legend.

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Fork of Reusable D3 Scatter Plot- ICE7

This interactive scatter plot, built with D3 v6, visualizes the Iris dataset. It cycles through four feature combinations (sepal and petal dimensions) on the x-axis, updating every few seconds while the y-axis remains sepal length. Data points are colored by species (Setosa, Versicolor, Virginica), with a static legend and axis labels. The visualization uses SVG for rendering and animation, with axes and scales computed via `scaleLinear`, `extent`, and `axisLeft`/`axisBottom` from the D3 API.

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Fork of Reusable D3 Scatter Plot- ICE7

This animated scatter plot displays the Iris flower dataset, cycling through four different feature pairings on the x-axis every few seconds to highlight relationships between sepal and petal measurements. Circles represent individual flowers, colored by species (Setosa in orange, Versicolor in blue, Virginica in black), with a fixed legend. Built with D3 v6, it reuses a custom `scatterPlot` module that applies `scaleLinear`, `axisLeft`, and `axisBottom` to render axes, while `setInterval` triggers updates and re-renders the SVG elements.

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