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Fork of Iris Dataset Scatter Plot

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PPriyanka11128
Last edited Mar 7, 2022
Created on Mar 7, 2022

This scatter plot visualizes the Iris dataset, mapping petal length and width along the x- and y-axes while coloring each point by species (setosa, versicolor, or virginica). The visualization uses D3 v6’s `csv` loader, `scaleLinear`, `extent`, and axis functions to position and label the marks, with circles rendered as SVG elements. The code also parses sepal measurements but does not use them for plotting. Data is fetched from a GitHub-hosted CSV file, and the chart fills the browser window with margins for axis labels.

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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 and width on the x- and y-axes, with each point colored by species (green, blue, or red). Built with D3 v6 and SVG, it uses `d3.csv`, `scaleLinear`, `axisBottom`, and `axisLeft` to render the axes. The code also reads sepal measurements but does not use them visually. Data is loaded from a GitHub-hosted CSV file, and the chart fills the browser window with fixed margins and 24-pixel tick labels.

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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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Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width as x and y coordinates while coloring each point by species (setosa, versicolor, or virginica). It also stores sepal measurements as data attributes on each circle, though these are not used for positioning. The implementation uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, scale axes, and render an SVG with circles. Data is fetched from a GitHub Gist, and the viewport fills the browser window.

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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 Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width for each specimen on the x- and y-axes, while coloring each point by species (setosa, versicolor, and virginica). The chart uses the D3 v6 `csv` loader to fetch the dataset, `scaleLinear` for axes, and `extent` to compute the domains. Each flower is drawn as an SVG circle with a fixed radius, but the code also defines rectangular attributes (`rx` and `ry`) from sepal measurements, though these are not visually applied. Axis labels and ticks are generated using `axisLeft` and `axisBottom`.

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Fork of Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width for each specimen on the x- and y-axes, while coloring each point by species (setosa, versicolor, and virginica). The chart uses the D3 v6 `csv` loader to fetch the dataset, `scaleLinear` for axes, and `extent` to compute the domains. Each flower is drawn as an SVG circle with a fixed radius, but the code also defines rectangular attributes (`rx` and `ry`) from sepal measurements, though these are not visually applied. Axis labels and ticks are generated using `axisLeft` and `axisBottom`.

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Fork of Iris Dataset Scatter Plot

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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This scatter plot visualizes the Iris Dataset, mapping petal length and width onto the x- and y-axes. Each point is colored by species—green, orange, or brown—using a custom marker function. Built with D3 v6, the SVG chart uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` for scales and axes. Data is loaded via `d3.csv` from a GitHub gist, with numeric fields parsed on ingestion. The visualization fills the screen and includes axis labels for petal length and sepal length.

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