Activity 6 Task 3.1

Ssasidhharreddy@gmail.com

Activity6_Task3.1

This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and petal width on the y-axis, with circles colored by species (setosa, versicolor, virginica) in skyblue, lightgreen, and orange. It uses d3.csv for data loading, d3.scaleLinear for positioning, and d3.axisLeft/axisBottom for axes. The SVG rendering uses d3.select and .join to create circles, with a rotation transform for the y-axis label.

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

Cchinnivikramnunna@gmail.com

Activity6_task3

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width for three flower species. Colored circles represent each species, with skyblue for setosa, lightgreen for versicolor, and orange for virginica. The visualization loads data from a CSV file using d3.csv and renders SVG circles with d3.scaleLinear for axes positioning. Axis labels rotate with SVG transforms, and species-specific colors are assigned through a JavaScript switch statement. The plot uses d3.axisLeft and d3.axisBottom for the coordinate system.

Activity 6 Task 3

This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and petal width on the y-axis. Each point is colored by species, using skyblue for setosa, lightgreen for versicolor, and orange for virginica. The visualization uses D3's `scaleLinear` for axes and `axisBottom` and `axisLeft` for ticks. Data is loaded from a CSV file via `d3.csv`, and circles are rendered as SVG marks using D3's `select` and `join` operations.

HHarshita Vairagade

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, 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

Activity6_Task3.1

This scatter plot visualizes the Iris dataset, mapping petal length and width for each flower sample. Circles are colored by species—sky blue for setosa, light green for versicolor, and orange for virginica—revealing distinct clusters. The example loads data from a remote CSV file using the `d3.csv` function, then renders the chart as an SVG. It uses `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to create the scales and axes, with the `select` and `join` pattern to bind data to circle elements.

Ssindhuja27b@gmail.com

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.