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Ppravallikaratankanthkatragadda@my.unt.edu
Last edited Apr 15, 2024
Created on Apr 15, 2024
Forked from Task8_Tutorial2

This visualization is a scatter plot of the Iris dataset showing sepal length on the x-axis and petal length on the y-axis, with points colored by species and encoded with different shapes via a categorical scale. It includes a shape legend for the iris species (setosa, versicolor, virginica) and labeled axes. The plot is rendered using D3.js v7 with SVG paths generated by the `d3.symbol` API, and data is fetched as CSV from a GitHub repository. The modular code imports axis and legend helpers that use `d3.axisLeft`, `d3.axisBottom`, and `d3.scaleOrdinal`.

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Fork of Task8_Tutorial2

This scatter plot visualizes the Iris dataset, showing sepal length against petal length. It uses D3 v7 to render SVG circles as symbols, with different shapes representing iris species via `scaleOrdinal` and the `symbolsFill` API. A custom shape legend is drawn using `symbolGenerator`, and axes are generated with `axisLeft` and `axisBottom`. Data loads asynchronously from a GitHub-hosted CSV file and is parsed with `csvParse`.

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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 species names. The visualization is built using D3 v7, specifically using `d3.scaleLinear`, `d3.scaleOrdinal`, `d3.symbol`, and `d3.axisLeft`/`d3.axisBottom` for axes. The code fetches a CSV file, parses it with `d3.csvParse`, and converts numeric columns to numbers before rendering the plot with SVG paths.

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This scatter plot maps sepal length against petal length for the Iris dataset, with each point’s shape encoding the species. A custom shape legend identifies the three species. The visualization uses d3.v7 with scaleLinear for axes, scaleOrdinal and symbolsFill for categorical shapes, and the axes and shapeLegend modules to compose the chart. Data is loaded via fetch and parsed with d3.csvParse.

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This visualization shows the classic Iris dataset as a scatter plot of sepal length against petal length, with points colored and shaped by species using D3 v7. The code employs `scaleLinear` for axes, `scaleOrdinal` with `symbolsFill` to map species to distinct shapes, and custom legend and axis modules. Data is loaded from a CSV via `csvParse` and rendered with `d3.symbol` paths sized at 200 pixels. The plot uses a viewport-sized SVG with margins, updating interactively based on window dimensions.

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This example shows a scatter plot of Iris flower measurements, mapping sepal length on the x-axis and petal length on the y-axis, with species distinguished by different symbol shapes. The visualization includes a custom shape legend positioned within the plot. It uses D3 v7’s `scaleLinear` for axes, `scaleOrdinal` with `symbolsFill` for shape encoding, and the `symbol` generator to render marks. Data loads asynchronously from a CSV file via `fetch` and `csvParse`, with axes and legend constructed through reusable functions that accept configurations.

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A scatter plot visualizes the Iris dataset, plotting sepal length against petal length and encoding the three flower species with distinct symbol shapes. The chart includes labeled axes and a shape legend that identifies each species. Built with D3 v7, it uses `scaleLinear`, `scaleOrdinal`, and `symbol` generators to position and render marks, with data fetched from a remote CSV and parsed via `csvParse`. Axes and legends are composed through reusable D3 modules.

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This scatter plot visualizes the Iris dataset, mapping petal length and width for each sample while coloring points by species (setosa, versicolor, and virginica). The visualization uses D3 v6's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct the axes, with circle elements rendered via SVG. Data is loaded asynchronously from a GitHub-hosted CSV file using D3's `csv` function, and the chart dimensions adapt to the browser window size.

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Fork of Task-8(Tutorial-3)

This scatter plot visualizes the Iris dataset, mapping petal length and width for each sample while coloring points by species (setosa, versicolor, and virginica). The visualization uses D3 v6's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct the axes, with circle elements rendered via SVG. Data is loaded asynchronously from a GitHub-hosted CSV file using D3's `csv` function, and the chart dimensions adapt to the browser window size.

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