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Task-3

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Vvamsikrishnakanchukommala@my.unt.edu
Last edited Apr 11, 2024
Created on Apr 11, 2024

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with different agricultural species distinguished by distinct symbols. The visualization uses D3 v7's `scaleLinear` for axes scaling and `scaleOrdinal` with `symbolsFill` to map species categories to different shapes. A shape legend at the bottom right identifies each species, while the plot is rendered using `svg` paths with `symbol` generators. The data is loaded asynchronously from a CSV file fetched from GitHub, and axes are added via custom `axes` and `shapeLegend` functions.

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MIT Licensed

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This visualization shows a scatter plot of the Iris dataset, mapping sepal length on the x-axis against petal length on the y-axis, with points styled by species using different D3 symbols. The code loads data from a CSV file via the Fetch API and parses it with d3.csvParse, then renders the plot using d3.scaleLinear for axes, d3.scaleOrdinal with d3.symbolsFill for shape encoding, and d3.axisLeft/axisBottom via the custom axes module. A custom shape legend module displays the species categories using d3.symbol, while D3’s join pattern handles dynamic element updates.

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This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with species encoded by different symbol shapes. The visualization loads the data from a remote CSV file using `d3.csvParse` and renders it using D3 v7. It employs `scaleLinear` for axes, `scaleOrdinal` for shape mapping, and `axisLeft`/`axisBottom` for tick marks. A custom shape legend, built with `d3.symbol`, displays the species labels.

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This scatter plot visualizes the Iris dataset, showing sepal length against petal length, with each species represented by a distinct symbol shape. The plot encodes the three Iris species through shape, using d3.scaleOrdinal with symbolsFill to assign different geometric marks, while a custom legend explains the species mapping. Axes are rendered via d3.axisLeft and d3.axisBottom, with labels for both dimensions. The data is loaded asynchronously from a GitHub-hosted CSV file using d3.csvParse, and the visualization updates through a state management pattern that handles loading and rendering.

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This scatter plot visualizes the Iris dataset, showing sepal length against petal length. Points are colored and shaped by species, with a legend mapping shapes to the three iris species. The visualization is built using D3 v7, employing force-directed layout principles through `d3.scaleLinear` and `d3.scaleOrdinal` for scales. The chart fetches data from a remote CSV, parses it with `d3.csvParse`, and renders marks via `d3.symbol` with axes generated by `d3.axisLeft` and `d3.axisBottom`.

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