Activity6_Task3

Activity6_Task3

This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and petal width on the y-axis. Each circle represents a flower, colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica) using a custom mapping function. Built with D3 v6, the example loads data via `d3.csv` from a GitHub URL, scales axes with `scaleLinear` and `extent`, and renders SVG circles with `select` and `.join`. Axis labels and ticks are added with `axisLeft` and `axisBottom`.

Ssatvikreddy79@gmail.com

Ggouthamigongidi2457@gmail.com

Activity6_Task3

This scatter plot visualizes the Iris dataset, displaying petal length against petal width for individual flowers. The visualization, built with D3 v6 and rendered as an SVG, uses colored circles to distinguish between the three Iris species: setosa, versicolor, and virginica. The code loads data from a CSV file and applies the `d3.scaleLinear` API for both the x and y axes, with `d3.axisLeft` and `d3.axisBottom` for the chart’s labeled axes.

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

Activity6_Task3.1

This interactive scatter plot visualizes the Iris dataset, mapping petal length and width for individual flowers with colors denoting species (setosa, versicolor, virginica). Built with D3.js v6, it loads CSV data from a GitHub repository, then uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct the axes and plot circles. Additional attributes store sepal measurements, though only petal dimensions are rendered. The SVG output is styled with green axis labels and a red title.

RRukmini Devi Y

Vvemurisuchitha@gmail.com

Activity6_Task3_1

This scatter plot visualizes the Iris dataset, mapping petal length against petal width for individual flowers. Each point is colored by species—setosa, versicolor, and virginica—using skyblue, lightgreen, and orange. The visualization is built with D3 v6, loading data via CSV and rendering SVG circles. It uses `scaleLinear` for axes, `axisLeft` and `axisBottom` for ticks, and custom radius scaling based on sepal dimensions, though it does not apply multi-dimensional scaling.

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_Task3.1

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

Vvishnutejareddyambati@my.unt.edu

Activity6 task3

This scatter plot visualizes the Iris dataset, mapping petal length and width for each sample while coloring points by species (setosa, versicolor, and virginica) using D3 v6. The SVG rendering uses `scaleLinear` for both axes, `extent` to set domains, and `axisLeft`/`axisBottom` for tick marks. Data is loaded asynchronously from a GitHub CSV via `d3.csv`, with each circle assigned a radius of 5 and a species-specific fill color from a simple switch statement.