Activity6_Task3.2

Kkowshiksamudrala08@gmail.com

Activity6_Task3-2

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with species encoded by different symbol shapes. The visualization loads the data from a remote CSV file using `d3.csvParse` and renders it using D3 v7. It employs `scaleLinear` for axes, `scaleOrdinal` for shape mapping, and `axisLeft`/`axisBottom` for tick marks. A custom shape legend, built with `d3.symbol`, displays the species labels.

Bbhavyamoturi2509@gmail.com

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.

Activity 6_Task-3.2

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with each species distinguished by a unique symbol shape and a corresponding legend. The visualization uses d3.scaleLinear for axes, d3.scaleOrdinal with symbolsFill for shape encoding, and d3.symbol to render the marks. Axes and labels are drawn via custom functions. Data is loaded asynchronously using d3.csvParse from a remote CSV file, and the plot updates responsively to the window size.

Rrajkodavati7@gmail.com

activity6_task3.2

This visualization is a scatter plot of the Iris dataset, showing sepal length on the x-axis and petal length on the y-axis. Points are colored and shaped by iris species, with a legend displaying the three species categories. The code uses D3 v7 APIs such as `scaleLinear`, `scaleOrdinal`, `symbolsFill`, `axisLeft`, `axisBottom`, and `symbol` to construct the plot and its shape legend. Data is fetched as a CSV from a GitHub repository and parsed with `csvParse`.

Mmaneeshraja47@gmail.com

Vvandanakosuri@my.unt.edu

Activity-6(Task3(1))

This scatter plot visualizes the Iris dataset, displaying sepal length on the x-axis and petal length on the y-axis, with each point’s shape representing the species of iris. The implementation uses D3 v7’s `scaleLinear`, `scaleOrdinal`, and `symbolsFill` to map data values to positions and shapes, while `axisLeft` and `axisBottom` render the axes. A custom legend, built with `symbol().type()`, identifies each species by its corresponding shape. Data is loaded asynchronously from a CSV file and parsed using `csvParse`.

Activity6_Task 3.2

This D3.js visualization presents a scatter plot of the Iris dataset, mapping sepal length on the x-axis against petal length on the y-axis. The plot encodes the species of each iris flower using distinct symbols, which are displayed in a legend on the right. The code utilizes `d3.scaleLinear` for axes and `d3.scaleOrdinal` with `d3.symbolsFill` and `d3.symbol` for the shape mapping. Data is fetched from a remote CSV file and parsed with `d3.csvParse`, while `d3.axisLeft` and `d3.axisBottom` render the axes.

UUday Vandanapu

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

Hhemanthmaddila13@gmail.com

Activity6_Task3.2

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with each species distinguished by a different symbol shape. The D3-based visualization uses `scaleLinear` and `scaleOrdinal` to map data dimensions, while `symbolsFill` and a custom symbol generator render the shape-encoded marks. An accompanying legend, built with `shapeLegend`, identifies each species, and axis labels clarify the measurements. The chart loads CSV data asynchronously and displays it across the full browser window.