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Activity 6

✓ Published0🌍 Public
Bbhargavipagolu2025@gmail.com
Last edited Oct 30, 2025
Created on Oct 30, 2025
Forked from Fork of Activity 6

This scatter plot visualizes the Iris dataset, showing sepal length against petal length, with points colored and shaped according to species. The visualization uses D3 v7’s `scaleLinear`, `scaleOrdinal`, `symbol` generator, and custom `axes` and `shapeLegend` modules to render the chart and its legend. Data is fetched from a raw CSV file on GitHub and parsed with `csvParse`. The plot updates responsively to the browser window size and includes labeled axes and a legend showing the three species categories.

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MIT Licensed

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Activity 6 scatterplots

This scatterplot visualizes the Iris dataset, mapping sepal length on the x-axis against petal length on the y-axis, with each species represented by a distinct symbol shape. The visualization uses d3.scaleLinear for both axes and d3.scaleOrdinal with symbolsFill to differentiate species. It loads CSV data via fetch and d3.csvParse, then renders the plot through a custom scatterPlot function that calls axes and shapeLegend modules. The shape legend displays the species mapping, while d3.axisBottom and d3.axisLeft provide the labeled axes.

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Activity6-3.1

This scatter plot visualizes the Iris dataset, plotting sepal length against petal length, with points colored and shaped according to species. The visualization uses D3 v7's `scaleLinear` for axes, `scaleOrdinal` with `symbolsFill` for categorical shapes, and a custom legend to map species to distinct symbols. Data is loaded asynchronously from a remote CSV file using `csvParse`, and the axes and legend are rendered via reusable D3 modules.

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activity6_task3.2

This scatter plot visualizes the Iris dataset, showing sepal length against petal length, with dots colored and shaped by species. The visualization uses D3 v7’s modular API, including `scaleLinear` and `scaleOrdinal` for scales, `symbol` for generating mark paths, and `axisLeft`/`axisBottom` for axes. A custom legend with `symbolGenerator` maps each species to a distinct shape. The code fetches and parses the CSV data using `csvParse` and dynamically sizes the SVG to the viewport.

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Activity-6 Task-3.2

This visualization displays a scatter plot of the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis. Each point is rendered as a distinct symbol shape representing the species of iris flower. The chart uses D3.js v7 with `scaleLinear` for the axes, `scaleOrdinal` with `symbolsFill` for shape encoding, and a custom legend showing the species symbols. Data is loaded as CSV and parsed with `csvParse` before being plotted.

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Activity6_Task3.2

This scatter plot visualizes the relationship between sepal length and petal length in the Iris dataset, with each point's shape indicating the species. The visualization uses D3 v7's modular APIs including scaleLinear, scaleOrdinal, symbolsFill, and symbol for generating the scatter marks. Axes are rendered with axisLeft and axisBottom, while a custom shape legend maps species to distinct symbol types. The data is loaded from a GitHub-hosted CSV file and parsed using csvParse, with numeric fields converted from strings.

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Activity 6 Task 3.2

This interactive scatter plot visualizes the Iris dataset, displaying sepal length against petal length for different iris species. The visualization uses D3 v7 to render points with distinct shapes representing species categories, accompanied by axes and a shape legend to differentiate groups. Data is loaded from a remote CSV file via `csvParse`, with numerical parsing applied to measurement columns. The plot uses a linear scale for both axes and an ordinal scale for categorical species encoding, with the shape legend positioned independently of the main plot.

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Activity 6 Task 3.2

This interactive scatter plot visualizes the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis while encoding species through distinct symbol shapes. The visualization uses D3 v7’s `scaleLinear`, `scaleOrdinal`, and `symbol` APIs to render marks and a custom shape legend. Data is loaded asynchronously from a GitHub-hosted CSV file using `d3.csvParse`, with axis labels generated via reusable `axisLeft` and `axisBottom` functions. Each point is drawn as a `path` element, and the legend displays the three species categories.

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Activity-6-task-3.2

This scatter plot visualizes the iris dataset, mapping sepal length to petal length and encoding species with distinct symbols. The chart uses D3’s `scaleLinear` for axes and `scaleOrdinal` with `symbolsFill` for shape mapping, along with custom `axisLeft`, `axisBottom`, and `shapeLegend` modules. Data is loaded from a CSV via `fetch` and parsed with `csvParse`. The visualization also includes labeled axes and a legend, leveraging D3’s selection join API for efficient SVG updates.

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