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Fork of Iris Dataset Scatter Plot

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

This example visualizes the Iris dataset, plotting petal length against petal width for individual flower specimens while color-coding points by species (setosa, versicolor, and virginica). It uses D3 v6’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to generate axes and map data to screen coordinates. The SVG circles are rendered with `select`, `append`, and a join operation, and the data is loaded via `d3.csv` from a raw GitHub source.

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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 example visualizes the Iris dataset, plotting petal length and width for individual flowers, with each species (setosa, versicolor, virginica) assigned a distinct color (blue, red, black). It uses D3 v6 to fetch the CSV data via `d3.csv`, then maps the values to screen coordinates using `d3.scaleLinear` and `d3.extent`. Circles are rendered with an SVG `join` operation, and axes are added with `d3.axisLeft` and `d3.axisBottom`. The plot fills the browser window, leveraging a full-screen SVG canvas.

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Fork of Iris Dataset Scatter Plot

This example shows a scatter plot of the Iris dataset, mapping petal length against petal width, with points colored by species (setosa, versicolor, and virginica). The code uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, scale axes, and render SVG circles. The plot is sized to the full window and uses a fixed radius of 4 pixels for each point. Data is fetched from a GitHub-hosted CSV file.

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Fork of Iris Dataset Scatter Plot

This example visualizes the Iris Dataset, plotting petal length against petal width while color-coding each point by species—setosa in blue, versicolor in red, and virginica in black. The SVG scatter plot is rendered using D3 v6, with axes created via `axisLeft` and `axisBottom`. Data is loaded asynchronously from a GitHub Gist using `d3.csv`, then transformed with `scaleLinear` and `extent` to map values to screen coordinates. Though the code sets `rx` and `ry` attributes, circles remain round with a fixed radius of five pixels.

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Fork of Iris Dataset Scatter Plot

This example visualizes the Iris dataset as a scatter plot, mapping petal length and width to the x and y axes. Each point’s color corresponds to the species of iris, distinguishing setosa, versicolor, and virginica. The chart is rendered as an SVG using D3 v6, with axes generated via `d3.axisLeft` and `d3.axisBottom`. Scales are created with `d3.scaleLinear`, and the data is loaded asynchronously from a CSV file using `d3.csv`.

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Fork of Iris Dataset Scatter Plot

This example visualizes the Iris Dataset, plotting petal length against petal width for three iris species, each colored blue, red, or black. It uses D3 v6 with `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, scale axes, and render an SVG scatter plot. Circles are positioned on the x- and y-scales, with the underlying sepal measurements stored as `rx` and `ry` attributes. The visualization fills the browser window and includes labeled tick marks with enlarged font sizes.

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Fork of Iris Dataset Scatter Plot

This example visualizes the Iris Dataset, plotting petal length against petal width for three iris species, each colored blue, red, or black. It uses D3 v6 with `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, scale axes, and render an SVG scatter plot. Circles are positioned on the x- and y-scales, with the underlying sepal measurements stored as `rx` and `ry` attributes. The visualization fills the browser window and includes labeled tick marks with enlarged font sizes.

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Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, displaying petal length against petal width for individual flowers, with each species color-coded (setosa in green, versicolor in orange, and virginica in brown). The visualization uses D3 v6’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to compute scales and render axes, while circles are drawn in SVG via `selectAll` and `join`. The data is fetched as CSV from a GitHub gist and parsed with numeric coercion, with labels for petal length and sepal length added as text elements.

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Fork of Iris Dataset Scatter Plot

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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