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Fork of Reusable scatter plot with different symbols

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Ssnehareddygurram
Last edited Mar 22, 2023
Created on Mar 22, 2023

This scatter plot visualizes the Iris Dataset, mapping petal width and sepal length for individual flowers while encoding species with different D3 symbols. The reusable `scatterPlot` function uses `d3.scaleLinear` for both axes, `d3.scaleOrdinal` to assign symbols from the `d3.symbols` collection, and `d3.symbol().size()` to generate paths. Data is loaded via `d3.csv`, and the plot renders in SVG with axes created by `d3.axisLeft` and `d3.axisBottom`.

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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

This scatter plot visualizes the Iris Dataset, mapping petal width against sepal length for individual flowers. The data comes from a CSV file loaded via `d3.csv`, and each species is represented by a distinct symbol using `d3.scaleOrdinal` and the `d3.symbol` API. Axes are rendered with `d3.axisLeft` and `d3.axisBottom`, while the reusable `scatterPlot` function handles the layout and rendering. The SVG output is sized to the full browser window, with axes and ticks styled via CSS. The plot is built with D3 v6 and focuses on comparing species distributions across two measured traits.

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Fork of Reusable scatter plot with different symbols

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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This scatter plot visualizes the Iris Dataset, mapping petal width against sepal length and encoding species with distinct D3 symbols. The visualization uses a reusable `scatterPlot` function that leverages `d3.scaleLinear`, `d3.scaleOrdinal`, `d3.axisLeft`, `d3.axisBottom`, and `d3.symbol` to render SVG paths. The dataset is loaded as CSV via `d3.csv` and parsed into numeric values. Axis tick labels are styled at 24px, with the plot filling the entire browser window.

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