Fork of Reusable scatter plot with different symbols

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Fork of Reusable scatter plot with different symbols

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Last edited Mar 13, 2023

Created on Mar 13, 2023

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This D3.js scatter plot visualizes the Iris dataset, mapping petal width on the x-axis and sepal length on the y-axis. Each species is represented with a distinct symbol, determined by the `scaleOrdinal` and `symbols` APIs, with all points rendered at a fixed size. The visualization uses `scaleLinear` for axes, `axisLeft` and `axisBottom` for tick marks, and `symbol().size()` to generate SVG paths. Data is loaded from a CSV via `d3.csv`, and the plot is drawn into a full-window SVG.

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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 Reusable scatter plot with different symbols

A D3.js scatter plot visualizes the Iris dataset, mapping petal width on the x-axis and sepal length on the y-axis. Each species is represented by a distinct symbol from d3.symbols, with symbol types assigned via d3.scaleOrdinal. The visualization uses d3.scaleLinear for axes, d3.axisLeft and d3.axisBottom for tick marks, and a custom scatterPlot module to manage the reusable layout. Data is loaded asynchronously from a CSV file via d3.csv, and the SVG rendering fills the full browser window.

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This example is a reusable scatter plot that visualizes the Iris Dataset, using distinct symbols to represent different species. The plot maps petal width to the x-axis and sepal length to the y-axis, with axis labels rendered via `d3.axisLeft` and `d3.axisBottom`. The implementation leverages `d3.scaleLinear`, `d3.scaleOrdinal`, and `d3.symbol` to generate SVG paths for each data point. Data is loaded asynchronously from a CSV file using `d3.csv` and parsed with a custom row handler. The plot’s dimensions adapt to the browser window, and styling is applied through a linked stylesheet.

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