Activity_7_11815718

Activity6_task3.2

This scatter plot visualizes the Iris dataset, mapping petal width against sepal length. The D3.js code uses `scaleLinear` to position points along the x and y axes and `scaleOrdinal` to map the three species to different symbols via `symbols`. The visualization is rendered as an SVG, with axes added using `axisLeft` and `axisBottom`. Data is loaded remotely from a GitHub raw CSV file, and the plot updates dynamically based on the specified margin and size settings.

Mmaneeshraja47@gmail.com

Activity 7.1

This interactive scatter plot visualizes the Iris dataset, showing the relationship between petal width and sepal length across three iris species. Each point represents a flower, colored by species using a categorical color scale. The visualization is built with D3.js, using `scaleLinear` and `scaleOrdinal` for scaling, `axisBottom` and `axisLeft` for axes, and `csv` to load data from a GitHub gist. The plot fills the window and includes labeled axes for petal width and sepal length.

JJaiyaGhanta@my.unt.edu

Activity6_task3

This scatter plot visualizes the Iris dataset, mapping petal length and width on the x and y axes, with each point colored by species (setosa, versicolor, or virginica). The code uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data from a GitHub-hosted CSV and render an SVG chart. Additional text labels for the axes are added manually via appended `text` elements, though the title references sepal length, the axis and data actually use petal dimensions.

Mmaneeshraja47@gmail.com

Activity6_Task3

This interactive scatter plot visualizes the Iris dataset, mapping petal length and petal width on the x- and y-axes while using colored circles to distinguish between the three iris species: setosa, versicolor, and virginica. The visualization renders as an SVG using D3.js v6, specifically leveraging `csv`, `scaleLinear`, `extent`, `axisBottom`, and `axisLeft`. It loads the dataset from the provided GitHub repository via a URL, defines custom margin and radius values, and scales the data accordingly. The plot includes green axis labels for “Petal_Length” and “sepal_Length”, with the axes styled with large tick text.

Mmaneeshraja47@gmail.com

Activity 7 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length and width for each flower sample while coloring points by species. The SVG rendering uses D3.js v6, loading data via CSV from a GitHub repository. The code employs `scaleLinear` for axes, `axisLeft` and `axisBottom` for tick marks, and `csv` for data parsing. Circles are positioned with `cx` and `cy` attributes, with species-specific colors assigned through a switch function.

VVarshareddy2912

Aanushapodapati99@gmail.com

Activity6

This interactive scatter plot visualizes the Iris dataset, plotting petal length and width as the primary axes while encoding each flower’s species with distinct colors (skyblue, lightgreen, and orange). The visualization uses D3 v6 APIs including `csv`, `scaleLinear`, `axisLeft`, `axisBottom`, and `select` to load data from a GitHub-hosted CSV and render SVG circles. Axes are labeled for petal length and sepal length, with the latter appearing as an additional annotation. The chart adapts to the full browser window size, and hover-free static marks convey the separation of species clusters.

Aanushapodapati99@gmail.com

Activity6

Activity 7

This interactive scatter plot, built with D3.js, visualizes the Iris dataset, showing the relationship between different flower measurements. The plot animates through four axis configurations, cycling petal and sepal dimensions on the x-axis while keeping sepal length on the y-axis. A legend distinctively colors points by species—setosa, versicolor, and virginica—using light blue, light green, and orange. The visualization dynamically redraws axes and labels using `scaleLinear` and `axisBottom`, with data loaded via `d3.csv`, demonstrating a reusable `scatterPlot` module.

Vvaishnavi6gan@gmail.com