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Fork of Scatter Plot Using Iris Data

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DDINESH SAI BOPPANA
Last edited Jun 27, 2022
Created on Jun 27, 2022

This scatter plot visualizes the Iris dataset, mapping petal length and width on the x- and y-axes. Points are colored by species using a switch statement, with setosa, versicolor, and virginica shown in orange, green, and purple. The code loads CSV data via `d3.csv`, uses `scaleLinear` and `extent` for scales, and renders circles with SVG attributes. Axis labels and tick text are styled with custom fonts, and the plot fills the browser window.

AI-generated description

A Dinesh 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 along the axes while coloring each point by species (setosa, versicolor, or virginica). The visualization is built with D3 v6, using `scaleLinear` for axes, `axisLeft` and `axisBottom` for ticks, and SVG circles for marks. Data loads from a CSV via `d3.csv`, with numeric parsing for measurement columns. The code assigns colors through a switch statement and uses fixed radius points, with margins configured for the full browser viewport.

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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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