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Fork of Iris Dataset Scatter Plot

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

This example visualizes the Iris Dataset, plotting petal length and width for individual flowers while representing sepal dimensions through the horizontal and vertical radii (rx and ry) of each elliptical mark. The flowers are color-coded by species—blue for setosa, red for versicolor, and black for virginica. The scatter plot is rendered as an SVG using D3 v6, with data loaded via `d3.csv`, axes generated through `d3.axisLeft` and `d3.axisBottom`, and scales defined with `d3.scaleLinear` and `d3.extent`. The visualization fills the entire browser window.

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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 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, 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, 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 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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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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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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This visualization displays the classic Iris Dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis. Individual data points are colored by species—green for setosa, yellow for versicolor, and black for virginica—using D3’s scaleLinear and extent functions to set the scales. The SVG rendering uses D3 v6 to append circles, with axes added via axisLeft and axisBottom. Although sepal length and width values are read from the CSV, they are assigned as rx and ry attributes on circles, which does not affect their circular appearance since the radius remains fixed.

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