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Fork of Iris Dataset Scatter Plot

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SSaikiran2029
Last edited Mar 6, 2022
Created on Mar 6, 2022

This visualization displays the Iris Dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis, with points colored by species (setosa, versicolor, and virginica). It also encodes sepal length and width as the horizontal and vertical radii of the ellipse-shaped markers, adding extra data dimensions. Built with D3 v6, the code loads CSV data using `d3.csv`, scales axes with `scaleLinear`, and renders the plot as SVG circles with `rx` and `ry` attributes, using `axisLeft` and `axisBottom` for ticks.

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A vanilla HTML implementation of a D3 scatter plot. Shows the Iris Dataset.

MIT Licensed

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Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length on the x-axis and petal width on the y-axis. Each point is colored by species (setosa, versicolor, or virginica), though the code also loads sepal dimensions without displaying them. Built with D3 v6, it uses `d3.csv` to load data, `scaleLinear` for axes, and `axisLeft`/`axisBottom` for tick marks. Circles are rendered as SVG elements with `selectAll` and `join`, with axis labels added via SVG text elements.

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Fork of Iris Dataset Scatter Plot

This example displays the Iris Dataset as a scatter plot, encoding petal length and width along the x- and y-axes, with points colored by species (setosa, versicolor, and virginica). Built with D3 v6 and rendered as SVG, it uses `d3.csv` to load the data, `d3.scaleLinear` for axes, and `d3.axisLeft` and `d3.axisBottom` to draw the chart’s scales. The visualization fixes the point radius at 4 pixels but additionally sets `rx` and `ry` attributes on each circle to the sepal dimensions, though these do not affect the visual shape.

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This scatter plot visualizes the classic Iris Dataset, mapping petal length and width on the axes and coloring each point by species (setosa, versicolor, or virginica). It uses D3 v6 to load CSV data, parse numeric fields, and render an SVG with circles. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, while `d3.scaleLinear` and `d3.extent` set the scales. Although the circles carry extra sepal length and width attributes, only the petal dimensions are visible in the plot.

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This visualization displays the classic Iris Dataset as a scatter plot, mapping petal length and width to the x and y axes while using color to distinguish between the three species (setosa, versicolor, and virginica). The chart also encodes sepal measurements as the rx and ry attributes on the circular marks, though these have no visible effect on the default SVG circle rendering. Built with D3 v6, it loads the CSV data via `d3.csv`, scales the axes with `d3.scaleLinear`, and renders the plot using SVG circles, `axisLeft`, and `axisBottom`.

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Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width to the x- and y-axes while coloring each point by species (setosa, versicolor, virginica). Circles are rendered using D3 v6’s `scaleLinear`, `axisLeft`, and `axisBottom` APIs, with the sepal measurements stored as unused `rx` and `ry` attributes. The SVG fills the window, and data is loaded asynchronously via `d3.csv` from a GitHub gist. The view includes 24-pixel tick labels and no interactivity.

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