Activity-6_Task-3_Part-1

Vvamsikrishnakanchukommala@my.unt.edu

Activity6_Task3

This interactive scatter plot visualizes the Iris dataset, displaying petal length against petal width with points colored by species (setosa in skyblue, versicolor in lightgreen, and virginica in orange). The visualization loads CSV data from a GitHub gist using d3.csv, then renders circles using d3.scaleLinear axes and d3.axisLeft/axisBottom. Each circle's radius is fixed, though the code also stores sepal measurements as rx/ry attributes, and the SVG output is generated with D3 v6, filling the browser window.

Ssaisnehapalle@my.unt.edu

Activity6_Task 3.1

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width, with each point colored by species (setosa, versicolor, or virginica) using a custom marker function. The visualization, rendered as an SVG using D3 v6, loads data from a remote CSV file via `d3.csv`, scales axes with `scaleLinear` and `extent`, and draws circles with attributes mapped from sepal measurements. Axis labels are added via `axisLeft` and `axisBottom`, and text elements are rotated to label the y-axis.

Activity6_Task3.1

This scatter plot visualizes the Iris dataset, mapping petal length and petal width as x and y coordinates while coloring each point by species (setosa, versicolor, or virginica). It loads CSV data from a GitHub URL and renders circles with D3 v6, using `d3.csv`, `scaleLinear`, `extent`, and `axisLeft`/`axisBottom` to construct axes. The SVG-based visualization labels both axes and includes a fixed point radius, with species-specific colors applied via a switch statement.

Vvemulasai306@gmail.com

Kkowshiksamudrala08@gmail.com

Activity6_Task3

This scatter plot visualizes the Iris dataset, showing petal length on the x-axis and petal width on the y-axis, with each point colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica). The visualization uses D3 v6 with `d3.csv`, `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to load data from a GitHub-hosted CSV and render SVG circles. Axis labels for petal length and sepal length are added with lower-case text, using a green font.

Mmeghna.reddy700@gmail.com

Activity6_Task3

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width. Each point represents a flower, colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica). The visualization uses D3 v6's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to map the data and render axes. The SVG circles are positioned using `cx` and `cy` attributes, while the dataset is loaded via the `csv` function from a GitHub URL.

Ssaibharath7thota@gmail.com

Activity6_task3

This scatter plot visualizes the Iris dataset, showing petal length against petal width, with each circle colored by species (setosa, versicolor, or virginica). The SVG visualization uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`, loading data from a GitHub-hosted CSV file. Scales map the data domain to pixel ranges, while circles are joined via `selectAll` and `join`. Axis labels and colored points are rendered in a full-window responsive layout.

Activity6_Task3

This scatter plot visualizes the Iris dataset, showing petal length against petal width for individual flowers. Points are colored by species—sky blue for setosa, light green for versicolor, and orange for virginica—using D3.js v6. The code loads CSV data from a GitHub repository and uses `d3.scaleLinear`, `d3.extent`, and `d3.axisLeft`/`d3.axisBottom` to create the axes. It renders as an SVG, with circles positioned by the scaled petal measurements and styled via a switch statement on the species field. The plot includes custom axis labels in green.

Bbhargavr016@gmail.com

Ssaishruthik2361@gmail.com

Activity6_Task3

This scatter plot visualizes the Iris dataset, mapping petal length and width on the axes while coloring each point by species (setosa, versicolor, or virginica). It uses D3 v6 with scaleLinear for scales, extent for domains, and axisLeft/axisBottom for ticks. The SVG is sized to the full window, and circles are joined via selectAll and data. The plot also misapplies rx/ry attributes to circles, which have no visual effect. Data loads from a GitHub-hosted CSV via d3.csv.