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Activity-6(Task3)

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Vvandanakosuri@my.unt.edu
Last edited Apr 14, 2024
Created on Apr 14, 2024
Forked from Activity-6

This interactive scatter plot visualizes the Iris dataset, displaying sepal length against petal length while distinguishing the three species of iris flowers through different symbol shapes. The visualization uses D3 v7 with scales and axes from the d3-scale and d3-axis modules, and encodes species using d3.scaleOrdinal with symbolsFill and symbol generators. Data is loaded from a remote CSV file, and the chart includes custom axis labels and a shape legend to identify species categories.

AI-generated description

We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

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Activity-6(Task3(1))

This scatter plot visualizes the Iris dataset, displaying sepal length on the x-axis and petal length on the y-axis, with each point’s shape representing the species of iris. The implementation uses D3 v7’s `scaleLinear`, `scaleOrdinal`, and `symbolsFill` to map data values to positions and shapes, while `axisLeft` and `axisBottom` render the axes. A custom legend, built with `symbol().type()`, identifies each species by its corresponding shape. Data is loaded asynchronously from a CSV file and parsed using `csvParse`.

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Activity6 Task3.2

This interactive scatter plot visualizes the Iris flower dataset, mapping sepal length against petal length and encoding species with distinct symbols from a shape legend. Built with D3 v7, it loads data from a remote CSV and uses modular components including `d3.scaleLinear`, `d3.scaleOrdinal`, `d3.symbol`, and custom axes and legend functions. The visualization dynamically updates to fill the viewport and recreates the plot from fetched data.

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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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Activity-6_task3.2

This scatter plot visualizes the Iris dataset, showing sepal length against petal length, with each of the three species represented by a distinct symbol shape and a corresponding legend. The visualization uses d3.scaleLinear for the x and y axes, d3.scaleOrdinal with d3.symbolsFill for species-based shapes, and d3.axisLeft and d3.axisBottom for the axes. Data is loaded asynchronously via fetch and parsed with d3.csvParse.

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Activity6_Task3.1

This interactive scatter plot visualizes the Iris dataset, showing petal length against sepal length for different Iris species. The visualization uses distinct shapes (circles, squares, and triangles) to differentiate species, with a dedicated shape legend positioned on the right side of the chart. Built with D3.js v7, the code employs `d3.scaleLinear` for axes scaling and `d3.scaleOrdinal` with `d3.symbolsFill` to map species categories to symbol types. Data is loaded asynchronously from a GitHub-hosted CSV file, with axes labeled and styled through custom `d3.axisLeft` and `d3.axisBottom` calls.

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Activity6-Task3.2

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 the three iris species distinguished by different symbol shapes. The plot uses d3.scaleLinear for both axes, d3.scaleOrdinal with d3.symbolsFill to encode species, and includes axis labels and a shape legend. Data is loaded asynchronously from a GitHub-hosted CSV file using d3.csvParse, with numeric fields converted to numbers before rendering.

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Activity_6_Task3.2

This interactive scatter plot shows the relationship between petal length and sepal length for three iris species, using different symbol shapes to encode species. The visualization uses D3 v7 to render the plot, with axes, labels, and a legend built through modular functions. Data is fetched from a remote CSV containing the classic iris dataset, which is parsed and loaded into the chart. The plot encodes the species dimension with a shape scale from D3's `symbolsFill` palette.

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Activity6_Task3.2

This scatter plot visualizes the Iris dataset, showing sepal length against petal length, with each of the three species represented by a distinct symbol. The visualization uses D3 version 7 to render SVG elements, employing `scaleLinear` for axes and `scaleOrdinal` with `symbolsFill` to map species to different point shapes. Data is loaded asynchronously through a CSV file fetch, then parsed with `csvParse` before being displayed with custom axis and shape legend components.

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