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Last edited Mar 30, 2023

Created on Mar 30, 2023

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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.

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A bare minimum HTML page demonstrating use of CSS and JavaScript.

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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.

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This interactive scatter plot visualizes the Iris dataset using D3 v6 within a React framework, rendering as SVG with animated transitions. The plot cycles through different x-axis variables (petal width, sepal width, petal length) on a timed interval, while the y-axis shows sepal length. Points are colored by species—setosa, versicolor, and virginica—with a custom color legend and axes generated using `scaleLinear`, `axisLeft`, and `axisBottom`. Data is loaded via `csv` from a VizHub URL, with all marks drawn as circles.

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This interactive scatter plot visualizes the Iris dataset, with each point colored by species (setosa, versicolor, or virginica). The visualization cycles through four different x-axis attributes—petal width, sepal width, petal length, and sepal length—at regular intervals, updating the chart dynamically using `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft`. A legend and axis labels are rendered as SVG text elements. The animation is driven by `setInterval`, which re-calls the reusable `scatterPlot` function built on D3 v6.

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This interactive scatter plot visualizes the Iris dataset, mapping petal and sepal measurements. A D3.js animation cycles through the four measurement columns on the x-axis, while y-values remain fixed on sepal length. Data points are colored by species (setosa, versicolor, virginica), with a legend displayed. The visualization is built with the D3.js library using React, rendered as an SVG with animated transitions, and includes axis labels and a title.

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This interactive scatter plot visualizes the Iris dataset, displaying sepal and petal measurements across four rotating combinations of axes. The chart cycles through different variable pairings every few seconds, with each of the three iris species color-coded by its species name. Built using D3 v6 and React, the visualization employs `scaleLinear` for axis scaling, `axisLeft` and `axisBottom` for tick rendering, and SVG circles for scatter marks. A custom legend and descriptive axis labels are included, while the animation uses `setInterval` to update the chart's x-value mapping.

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This interactive visualization displays the Iris dataset, animating through different measurement combinations on the x-axis while keeping sepal length on the y-axis. The scatter plot is built using React and d3.scaleLinear, with colored circles representing three Iris species. A legend identifies red, blue, and yellow markers for each type. The animation cycles through petal width, sepal width, and petal length using setInterval, updating the x-axis label and repositioning points. The code uses d3.csv for data loading and d3.axisBottom for axis rendering.

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This interactive scatter plot animates through different pairs of Iris flower measurements, cycling petal width, sepal width, petal length, and sepal length on the x-axis while keeping sepal length on the y-axis. Built with React and D3.js (version 6.7), it uses `scaleLinear`, `axisLeft`, `axisBottom`, and `scatterPlot` to render SVG circles colored by species (setosa, versicolor, virginica), with a legend and axis labels. The animation updates every interval via `setInterval`, redrawing the plot with new column selections. Data originates from a CSV of Iris measurements fetched from a GitHub gist.

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