Activity6_Task3.2

Activity6_Task3.2

This interactive scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with species distinguished by different symbol shapes. The visualization uses D3.js v7, employing `scaleLinear` for both axes, `scaleOrdinal` with `symbolsFill` for shape encoding, and a custom shape legend component. Data is loaded asynchronously from a GitHub-hosted CSV file using `d3.csvParse`. The chart responds to window resizing by redrawing within the full viewport, with axes and labels generated through reusable `axes.js` and `scatterPlot.js` modules.

VVidya Lakshmi Chitturi

Activity 6_Task 3.2

This interactive scatter plot visualizes the Iris dataset, mapping sepal length against petal length. Each point is colored and shaped by species, with a custom legend explaining the symbols. The visualization uses D3 version 7, employing the `symbol()` API from `d3` to generate distinct mark shapes, `scaleLinear` for axes, and `scaleOrdinal` for the categorical species mapping. Data is loaded from a remote GitHub CSV file and parsed with `csvParse`. The chart is rendered using an SVG canvas.

Mmsnikhil2608@gmail.com

Vvankayalapatimounika2000@gmail.com

Activity6_Task 3.2

This example demonstrates a scatter plot that visualizes the Iris dataset, mapping sepal length and petal length on the axes while using distinct symbol shapes to represent the three iris species. The visualization includes labeled axes and a custom shape legend. Built with D3 v7, the code uses `d3.scaleLinear` for axes, `d3.scaleOrdinal` with `d3.symbolsFill` for shapes, and `d3.csvParse` to load the data. A modular ES6 structure separates the chart, axes, and legend into local modules.

Activity6_Task3.2

This interactive scatter plot visualizes the Iris dataset, mapping sepal length and petal length while encoding species through distinct point shapes. The chart includes labeled axes (Sepal Length, Petal Length) and a custom shape legend in the upper right. Built with D3 v7, it uses `scaleLinear` for axes and `scaleOrdinal` with `symbolsFill` for shape mapping. The visualization loads data asynchronously via `csvParse` from a GitHub-hosted CSV, then densely renders marks using `path` elements and the `symbol()` generator.

SSatish Nallamadugu

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.

GGunna,Praneeth Reddy

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.

Ppslharika@gmail.com

Activity6_Task3.2

This scatter plot visualizes the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis, with species indicated by different filled symbols. The chart includes a shape legend and labeled axes, rendered using D3 v7 with a custom scatterplot module that relies on `scaleLinear` for the axes and `scaleOrdinal` for the symbol mapping. Data is loaded asynchronously from a CSV file, and the visualization updates dynamically as the data state transitions from loading to parsed.

Ssindhuja27b@gmail.com

Ssatishvelaga02@gmail.com

Activity6Task3.2

This interactive scatter plot visualizes the Iris dataset, mapping sepal length to the x-axis, petal length to the y-axis, and using different symbol shapes to distinguish species. A custom legend labels each shape with its corresponding species. The visualization loads the data from a raw CSV file, parses it with `d3.csvParse`, and renders the plot using `d3.scaleLinear`, `d3.scaleOrdinal`, and `d3.symbol`. Axes and labels are generated through a reusable module that calls `d3.axisLeft` and `d3.axisBottom`.