Activity8-Task3

Activity8_Task3

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width. Each point is colored by species (skyblue for setosa, lightgreen for versicolor, pink for virginica) using the `d3.scaleLinear` and `d3.axisBottom`/`d3.axisLeft` APIs within the D3 v6 framework. It loads CSV data via `d3.csv`, parses numeric values, and renders circles in an SVG. Axis labels display petal length and sepal length, though the plotted coordinates use petal dimensions.

LLakshmi Keerthi

Ssairamisetti3829@gmail.com

activity 6 task 3

This scatter plot visualizes the Iris dataset, depicting petal length against petal width for individual flowers, with color-coded points for each species (setosa, versicolor, and virginica). The visualization uses D3 v6 with `csv()`, `scaleLinear()`, and `extent()` to load data from a GitHub-hosted CSV and map values to screen coordinates. Points are rendered as SVG circles using `selectAll().join()`, with an `axisLeft()` and `axisBottom()` providing labeled axes. The code also reads sepal measurements but applies them as circle `rx` and `ry` attributes, though these are overridden by a fixed radius value.

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.

activity6_task3

This scatter plot visualizes the Iris dataset, mapping petal width against petal length for individual flowers. Each circle is colored by species—sky blue for setosa, light green for versicolor, and orange for virginica—using D3 v6’s `scaleLinear`, `axisLeft`, and `axisBottom` APIs. The SVG rendering also encodes sepal dimensions via circle `rx` and `ry` attributes, though the visual effect is subtle due to a constant radius. Data loads from a GitHub-hosted CSV via `d3.csv`.

Ssravani1969@gmail.com

Activity6_Task3_3.1

This scatter plot visualizes the Iris dataset, showing petal length on the x-axis and petal width on the y-axis. Each circle represents a data point, colored by species (setosa in skyblue, versicolor in lightgreen, and virginica in orange), with circle dimensions reflecting sepal length and width via their rx and ry attributes. The visualization uses d3.csv to load data from a GitHub repository, d3.scaleLinear for axis scaling, and d3.axisLeft and d3.axisBottom for axes. Rendering is done as an SVG with d3.v6, applying margins and custom font styles for axis labels.

PPothuguntla Pranitha

Nnikhilthoutu24@gmail.com

Activity6_Task3.1

This scatter plot visualizes the Iris dataset, mapping petal length and petal width on the x- and y-axes while coloring each point by species (setosa, versicolor, virginica) using skyblue, lightgreen, and orange. It also encodes sepal length and width as additional properties per circle. Built with D3 v6, the code uses `csv`, `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and SVG circle elements. Data is loaded from a remote GitHub CSV, with axes and labels rendered into a full-window SVG.

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

Bbharatchowdarypotluri@my.unt.edu

Activity06Task3.1

This scatter plot visualizes the Iris dataset, displaying 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, and orange for virginica). The visualization uses D3 v6 APIs including `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map data coordinates and render SVG circles with a fixed radius. Data is loaded asynchronously from a CSV file hosted on GitHub via `d3.csv`, with additional sepal measurements parsed but not directly plotted. The chart fills the browser window and includes rotated axis labels for clarity.