Activity6_Task3

Activity6_Task3

This scatter plot visualizes the Iris dataset, displaying petal length against petal width while coloring each point by species (setosa, versicolor, or virginica) using D3 v6. The code loads CSV data via `d3.csv`, applies linear scales with `d3.scaleLinear`, and renders SVG circles with axes generated by `d3.axisLeft` and `d3.axisBottom`. Data parsing converts numeric fields, and the chart fills the browser window with responsive dimensions. The visualization distinguishes species through custom color mapping and includes labeled axes for petal measurements.

HHari Kiran

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

Rrayavarapulokesh3@gmail.com

Activity6_Task3

This scatter plot visualizes the Iris dataset, mapping petal length and width to the x- and y-axes while encoding species with color (skyblue, lightgreen, orange). The plot also encodes sepal length and width as the horizontal and vertical radii of each circular mark. The visualization uses D3 v6 APIs including `d3.csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load and scale data, draw axes, and render circles. A legend distinguishes the three species. The SVG renders directly to the browser window, sized to the viewport.

Activity6_Task3.1

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width for three iris species, with each species represented by a distinct color. The code uses D3 v6 to load CSV data from a GitHub repository, parse the numeric columns, and render an SVG scatter plot. It employs D3's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map data values to pixel coordinates and draw axes. The visualization also includes a title and axis labels, with circles colored skyblue, lightgreen, or orange based on species.

SSai Praveen Lokavarapu

Activity6_Task3

This scatter plot visualizes the Iris dataset, mapping petal length and width for individual flowers while coloring points by species (setosa, versicolor, virginica) using an SVG circle per data row. D3 v6 loads CSV data via `d3.csv` from a GitHub raw URL, then applies `scaleLinear` and `extent` to position marks, with `axisLeft` and `axisBottom` generating labeled axes. The code also binds sepal measurements to circle radius attributes via `rx` and `ry`, though visual scaling is not applied.

KKhushi Desai

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.

Activity6_Task3.1

This scatter plot visualizes the Iris dataset by mapping petal length and petal width, with points colored by species (setosa, versicolor, virginica). Using D3 v6, the code loads CSV data with the `csv` function, creates axes with `axisLeft` and `axisBottom`, and applies `scaleLinear` for positioning. Circles are rendered via SVG selections, with an unusual use of `rx` and `ry` attributes based on sepal dimensions. The raw data comes from a GitHub-hosted CSV file.

VVidya Lakshmi Chitturi