Activity6_Task3.2

Rrishithagovini99@gmail.com

Activity6_Task3

This D3.js visualization displays the Iris dataset as a scatter plot, mapping sepal and petal dimensions for three iris species. The plot uses colored circles to represent each sample, with petal length and width for positioning while also encoding sepal measurements. The code loads the dataset via the `d3.csv` API, applies `d3.scaleLinear` for axis scaling, and renders with SVG. The chart includes axes, a title, and uses a color-coded legend for species.

RRishithaGarnepudi@my.unt.edu

Activity6_Task3_3.2

This example visualizes the Iris dataset, mapping sepal length and petal length on the x- and y-axes while distinguishing species by shape. Each data point is a d3 symbol, rendered using `symbolGenerator`, with a shape legend showing the species categories. The code builds the visualization with D3 v7, using `scaleLinear`, `scaleOrdinal`, `axisLeft`, and `axisBottom` from the `d3` module. Data is loaded as CSV from GitHub and parsed with `csvParse`. The scatter plot is drawn in an SVG canvas sized to the window, with axes and labels configured programmatically.

Activity6_Task3.2

This visualization displays the Iris dataset using a D3.js scatter plot, mapping sepal length to the x-axis and petal length to the y-axis. Each data point is rendered as a path with a distinct symbol from `symbolsFill`, where the species determines its shape. It loads CSV data via `d3.csvParse` from a remote GitHub source and uses `scaleLinear` for positioning and `scaleOrdinal` for shape encoding. A custom legend shows the species labels, and the axes are drawn with `axisLeft` and `axisBottom`.

SSeema Shrestha

Bbudalavijay2001@gmail.com

Activity6_Task3.1

This example shows an interactive scatter plot of the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis, with each species represented by a distinct symbol shape. The visualization uses D3.js v7 APIs including `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `symbolGenerator` to render the marks, while a custom shape legend displays the species categories. Data is loaded asynchronously from a GitHub-hosted CSV file using `fetch` and parsed with `csvParse`, with numerical fields coerced to numbers before plotting. The chart includes labeled axes and a legend, all rendered within an SVG canvas sized to the full viewport.

Activity6_Task3.2

A D3.js v7 scatter plot displays the Iris dataset from a CSV file, mapping sepal length to the x-axis and petal length to the y-axis. Species are encoded using different symbol shapes via `d3.symbol` and `scaleOrdinal`, with a custom legend for the shape categories. The visualization uses `d3.scaleLinear` for both axes, `d3.extent` for domains, and custom modules for axes and shape legend rendering, with margins and axis labels configured.

Jjtulasi05@gmail.com

Activity 6 Task 3.2

A scatter plot of the Iris dataset displays sepal length versus petal length, with points shaped by species. The visualization uses D3 v7's `scaleLinear`, `scaleOrdinal`, `symbol`, and `symbolsFill` to map data values and render distinct mark types, while a custom legend explains the shapes. Axes are drawn with `axisLeft` and `axisBottom`. Data is loaded asynchronously from a GitHub-hosted CSV and parsed with `csvParse`.

RRukmini Devi Y

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

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.