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Ggreeshmareddy135@gmail.com

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This visualization displays the classic Iris dataset as a scatter plot, mapping sepal length against petal length while encoding the three iris species through distinct symbol shapes. The plot uses D3 v7’s `scaleLinear`, `scaleOrdinal`, and `symbol` APIs to position and shape the marks, with a custom `axes` module and a shape legend generated via `symbolGenerator`. Data is loaded from a remote CSV file using `csvParse`, and the visualization updates dynamically as the window resizes.

Yyadlapallisaisathvik@gmail.com

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This visualization displays the classic Iris dataset as a scatter plot, mapping sepal length on the x-axis and petal length on the y-axis. Instead of using colors to differentiate species, the plot encodes species identity through distinct symbol shapes, such as circles, triangles, and crosses, with a corresponding legend at the right. The implementation uses D3.js v7 utilities like `scaleLinear`, `scaleOrdinal`, and `symbolGenerator` to position marks and generate the shape encodings. Data is loaded asynchronously from a remote CSV file and parsed with `csvParse`.

Sshreshikaveerannagari@gmail.com

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This visualization displays the Iris dataset as a scatter plot, mapping sepal length on the x-axis and petal length on the y-axis, with points colored and shaped by species. It includes a custom shape legend for the three species. The implementation uses D3 v7 modules like `scaleLinear`, `scaleOrdinal`, and `symbol` to generate marks, while `axisLeft` and `axisBottom` handle the axes. Data is loaded asynchronously via `fetch` and parsed with `csvParse` from a GitHub-hosted CSV file. The chart is rendered into an SVG that fills the viewport.

Aanusha.chilkamarri26@gmail.com

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This scatter plot visualizes the Iris dataset, showing sepal length against petal length, with species distinguished by different d3 symbol shapes. A shape legend identifies the three species categories, while labeled axes display the quantitative measurements. Built with D3 v7, the visualization uses modular JavaScript functions including `scaleLinear`, `scaleOrdinal`, `symbolGenerator`, and custom axis and legend components. The data is loaded asynchronously from a remote CSV file and parsed using `csvParse`, with the plot rendering across the full browser window.

Aakitisaitejareddy@gmail.com

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This scatter plot visualizes the Iris dataset, plotting sepal length against petal length while encoding species by shape. Using D3 v7, it creates a linear x- and y-axis, with a custom shape legend explaining the species mapping. The implementation leverages D3’s `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `symbol` APIs to render the marks and legend. Data is loaded from a remote CSV, parsed with `csvParse`, and mapped to numeric fields before being passed to the plot.

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This interactive scatter plot displays the Iris dataset, showing sepal length against petal length, with each flower species distinguished by a unique symbol shape (circles, triangles, and diamonds) and a corresponding legend. Using D3 v7, the visualization implements a modular architecture with separate axes, shape legend, and scatter plot components. The code leverages D3 scales (scaleLinear, scaleOrdinal), symbol generators from d3-shape, and data-join patterns to render markers and update the visualization. Iris data is loaded asynchronously from a CSV file, parsed with d3.csvParse, and numeric fields are converted before rendering.

Ssahaspragna6@gmail.com

Lleelakrishnadivi7@gmail.com

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This scatter plot visualizes the Iris dataset, mapping sepal length and petal length on the x- and y-axes, with species encoded by point shape. It uses D3 v7's `scaleLinear`, `scaleOrdinal`, and `symbolsFill` to create the visualization, rendering SVG paths via `symbol()`. Data loads from a CSV via `csvParse`, with axes and a shape legend generated using `axisLeft`, `axisBottom`, and custom legend code.

Kkaringusathwika@gmail.com

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This example uses D3 v7 to render a scatter plot of the Iris dataset. It maps sepal length and petal length to the x and y axes, and encodes species using different shapes. The visualization includes labeled axes and a legend for the shape categories. The code demonstrates D3's `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `symbol` APIs, with data fetched as CSV and parsed using `csvParse`.