Activity6Task3.2

Bbudalavijay2001@gmail.com

Activity6_Task3.2

This visualization displays a scatter plot of Iris flower measurements, plotting sepal length against petal length and encoding species using different symbol shapes. Each species appears as a distinct geometric marker with a corresponding legend positioned on the right. The code uses d3.scaleLinear for coordinate scaling, d3.scaleOrdinal with d3.symbolsFill for shape encoding, and d3.axisLeft/axisBottom for axes. Data is loaded asynchronously from a CSV file and parsed with d3.csvParse, while the scatter plot, axes, and legend are each structured as reusable D3 modules.

Ggouthamigongidi2457@gmail.com

Activity6_task 3 .2

This example displays a scatter plot of Iris flower measurements, showing sepal length against petal length for three species. The visualization uses distinct symbols for each species, with a shape legend positioned in the upper right corner to identify the categories. Built with D3 v7, the code imports specific modules such as `scaleLinear`, `scaleOrdinal`, `symbol`, and `symbolsFill` for scaling and symbol generation. The plot loads data from a CSV file hosted on GitHub, parsing it with `csvParse` and converting numeric fields before rendering. Axes and labels are created using reusable axis functions.

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.

Activity6_Task3.1

This scatter plot visualizes the Iris dataset, showing sepal length versus petal length for three flower species. The visualization uses d3.v7 with scaleLinear for axes, scaleOrdinal with symbolsFill to encode species as different point shapes, and a custom legend. Data loads asynchronously from a GitHub-hosted CSV file, parsed with csvParse, with axes and shape legends created via reusable D3 modules. The plot updates automatically when the data arrives.

SSowjanya Devupalli

Activity6-Task3.2

This scatter plot visualizes the Iris dataset, showing sepal length against petal length for three species of iris flowers. Each species is represented by a distinct symbol shape (circle, cross, diamond, and others) generated using d3’s `symbol` API, with a legend identifying the shape-to-species mapping. The chart uses d3’s `scaleLinear` for both axes and `scaleOrdinal` for the shapes, while the axes and legend are built through custom modules (`axes.js` and `shapeLegend.js`). Data is loaded asynchronously from a GitHub-hosted CSV and parsed with `csvParse`.

Ggoudrohit2000@gmail.com

Activity6 task3.2

This scatter plot visualizes the Iris dataset, plotting sepal length against petal length. Each point is rendered as a distinct symbol—circle, cross, or square—to represent the three species of Iris flowers, categorized on a categorical color scale. The visualization is built using D3.js (v7), using the `scaleLinear` and `scaleOrdinal` APIs to map data to positions and symbols. Axes and a shape legend are drawn using custom `axes` and `shapeLegend` modules, which utilize D3’s `axisLeft` and `axisBottom` functions. Data is loaded from a remote CSV file and parsed with `csvParse`.

Hhkodiripaka15@gmail.com

Activity8_Task-3.2

This scatter plot displays iris flower measurements, plotting sepal length on the x-axis against petal length on the y-axis, with different species differentiated by shape markers and a legend. The visualization loads CSV data from a GitHub repository, parses it with `d3.csvParse`, and renders the chart using D3 v7’s `scaleLinear` and `scaleOrdinal` for scales, `symbolsFill` for shape encoding, and custom components for axes and shape legend. The plot utilizes `d3.select` and the join pattern to manage SVG elements dynamically, with the legend positioned at a fixed offset.

HHarika Metta

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