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11604584

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PPran6728
Last edited Mar 12, 2023
Created on Mar 12, 2023

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis against petal length on the y-axis. Each flower is represented by a circle, colored by its species (setosa, versicolor, or virginica) using a custom color scale. The visualization is built with D3 v7, using the `scaleLinear` for axes, `scaleOrdinal` for color mapping, and a `scatterPlot` module that adds axis labels and legends. Data is loaded from a CSV file and rendered in an SVG canvas.

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This interactive scatter plot visualizes the classic Iris dataset, displaying sepal length on the x-axis and petal length on the y-axis. Each point represents an individual flower, colored by its species (setosa, versicolor, or virginica) according to a categorical color legend. The visualization is built with D3.js, using `scaleLinear` for axes, `scaleOrdinal` with `schemeCategory10` for colors, and modular components for drawing axes and the color legend. The code leverages D3's selection joins for efficient SVG element updates.

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This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width, with each point colored by species (setosa, versicolor, or virginica). The visualization uses D3 v6 with SVG rendering, employing scaleLinear, axisLeft, and axisBottom to construct the axes. Data is loaded via d3.csv from a remote GitHub URL, and circles are drawn using the select, data, and join pattern. The plot also records sepal measurements in each data point, though these are not visually encoded.

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