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Fork of Activity6_Task3

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Pperamranji
Last edited Mar 30, 2025
Created on Mar 30, 2025

A scatter plot maps sepal length against petal length for iris flowers, using distinct symbols to encode species and a custom legend for identification. Built with D3 v7, the visualization fetches CSV data from a GitHub repository, parses it, and renders marks via the `symbol` generator with `symbolsFill` shapes. Axes are managed through reusable modules, and an ordinal color scale from `schemeCategory10` colors each species, with legends positioned statically.

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Fork of Activity6_Task3

A scatter plot maps sepal length against petal length for iris flowers, using distinct symbols to encode species and a custom legend for identification. Built with D3 v7, the visualization fetches CSV data from a GitHub repository, parses it, and renders marks via the `symbol` generator with `symbolsFill` shapes. Axes are managed through reusable modules, and an ordinal color scale from `schemeCategory10` colors each species, with legends positioned statically.

Pperamranji
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Fork of Activity6_Task3.2

This scatter plot visualizes the Iris dataset, mapping sepal length against petal length and using distinct shapes to represent different iris species. The visualization loads data from a CSV file and displays it using D3 v7, leveraging the `scaleLinear` and `scaleOrdinal` scales to map data values to plot coordinates and shape encodings. Custom axis and legend modules render labeled axes and a shape legend, while the `symbol` API generates the species-specific markers. The plot dynamically fetches and parses the data via `csvParse`, updating the display once the dataset arrives.

MMallikarjun Narra
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Fork of Activity_6_Task_3.2

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.

Lleelakrishnadivi7@gmail.com
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Fork of Fork of Activity-6_task3.2

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.

Aakitisaitejareddy@gmail.com
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Fork of Activity6_Task3.2

This scatter plot visualizes the iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with points colored by species (skyblue, lightgreen, or orange) and sized or positioned according to sepal measurements. The visualization uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data from a GitHub-hosted CSV and render SVG circles. Axes labels are added via `svg.append('text')`, with data-driven fill colors assigned through a switch function on species.

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Fork of Activity_6_Task3_Tutorial3.2

This example creates a scatter plot comparing sepal length to petal length for iris flowers, with species distinguished by symbol shape. It loads data from a remote CSV file using D3's `csvParse` and renders the chart with D3 v7. The visualization uses `scaleLinear` for axes, `scaleOrdinal` with `symbolsFill` for shapes, and a custom legend. Axes are built with `axisLeft` and `axisBottom`, while the shape legend is generated using D3's `symbol` generator, all composed through modular ES6 imports.

Pparvathi829790@gmail.com
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Activity6_Task3.2

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis against petal length on the y-axis for three species distinguished by different symbol shapes and a custom legend. Built with D3 v7, it uses `scaleLinear` for both axes, `scaleOrdinal` with `symbolsFill` to assign shapes via `symbol` generators, and reusable modules for axes and legends. The plot renders SVG marks with a size of 200, displaying all 150 data points from the CSV source.

Hharshabandi3060@gmail.com
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Fork of Activity6_Task3_Tutorial 3.2

This interactive scatter plot visualizes the Iris dataset, mapping sepal length against petal length and using distinct symbols to represent the three iris species. The D3.js v7 code builds the visualization entirely with modular functions, including `scaleLinear` and `scaleOrdinal` for scales, `symbol` for generating shapes, and `csvParse` to load the data from a GitHub-hosted CSV file. Axis and shape legend components are rendered via `axisLeft`, `axisBottom`, and custom legend logic, with the chart redrawing responsively to the full window size.

Nnavyabade05@gmail.com
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