activity6task3-2

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.

Mmeenam1106@gmail.com

activity6_question1_task3

This visualization displays the classic Iris flower dataset as a scatter plot, mapping sepal length along the x-axis and petal length along the y-axis. Each point’s shape encodes the flower species, with a custom legend rendering the three categories using d3.symbol and symbolsFill. The code fetches the CSV from a GitHub repository, parses it with d3.csvParse, and renders the plot using d3.scaleLinear for both axes and d3.scaleOrdinal for the shape scale, with axes and labels generated via d3.axisBottom and d3.axisLeft.

Mmaneeshraja47@gmail.com

act6_task3.2

This visualization shows the classic Iris dataset as a scatter plot, mapping sepal length on the x-axis against petal length on the y-axis. Points are rendered as distinct D3 symbols using `d3.symbol` and `symbolsFill`, with each of the three iris species (setosa, versicolor, virginica) represented by a different shape. A custom shape legend explains the species mapping. The code uses D3 v7 APIs including `csvParse`, `scaleLinear`, `scaleOrdinal`, and `axisLeft`/`axisBottom` from the `axes.js` module to construct the interactive chart.

Ssravani1969@gmail.com

act6_task3.2

Ssravani1969@gmail.com

Ssairamisetti3829@gmail.com

activity 6 task3.2

This example shows the classic Iris dataset as a scatter plot of sepal length against petal length, with each species distinguished by a different symbol shape. A legend maps the species names to their corresponding shapes. The visualization is built with D3 v7, using scales like `scaleLinear` and `scaleOrdinal` along with `symbolGenerator` for shape rendering. The axes are drawn via `axisLeft` and `axisBottom`, and the data is loaded from a remote CSV file using `csvParse`.

PPadmajaKodati@my.unt.edu

Activity6-Task3.2

This visualization presents the classic Iris dataset as a scatter plot, mapping sepal length against petal length. Each data point is rendered as a distinct symbol, with the species of each iris encoded by shape. The visualization also includes a custom legend that translates the symbol shapes into their corresponding species names. Built using D3 v7, the example leverages `scaleLinear`, `scaleOrdinal`, `symbolGenerator`, and `axisBottom`/`axisLeft` from the `d3` library, with the underlying data fetched and parsed via `d3.csvParse`.

Activity6_Task3.2

This visualization displays the classic Iris dataset as a scatter plot of sepal length against petal length, with each of the three iris species distinguished by a different symbol shape. The plot uses D3’s `scaleLinear`, `scaleOrdinal`, and `symbol` APIs to position points and render marks, while an axis module built with `d3.axisLeft` and `axisBottom` labels the chart. A custom shape legend maps each species to its symbol. The data is loaded asynchronously from a GitHub-hosted CSV and parsed with `d3.csvParse`.

SSiddhartha Alwala

Nnikhilthoutu24@gmail.com

Activity6_Task3.2

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.