Activity 8 Scatter plot

Ssumanthnaidu213@gmail.com

Activity 9&10

This interactive scatter plot animates through the Iris dataset, cycling the x-axis among four measurements while fixing sepal length on the y-axis. Points are colored by species (setosa, versicolor, virginica) and rendered as ellipses whose rx/ry values encode sepal dimensions. Built with D3.js `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`, the visualization uses animated SVG circle updates via `setInterval` and `selectAll`, with a legend and rotating axis labels. Data is loaded asynchronously from a CSV file hosted on GitHub.

Activity 6

This interactive scatter plot visualizes the Iris dataset, cycling through different x-axis variables every few seconds to show relationships between sepal and petal measurements. Each species—setosa, versicolor, and virginica—appears as a distinct color (skyblue, lightgreen, orange) with a legend and axis labels updated dynamically. Built with D3 v6, it uses `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `setInterval` to re-render the SVG animation, with data loaded via the `csv` function from a GitHub-hosted CSV file.

Aanjeevu@gmail.com

MMannava Priyanka Chowdary

Activity 7

This animated scatterplot cycles through four Iris flower measurements—petal width, sepal width, petal length, and sepal length—on the x-axis while keeping sepal length on the y-axis. It uses D3’s `csv`, `scaleLinear`, `axisLeft`, and `axisBottom` to load and render the Iris dataset, with `setInterval` driving the axis transitions. Species are color-coded via a custom marker function, and a legend with labels is drawn directly in SVG. The visualization demonstrates a reusable scatter plot module built through a chained configuration pattern.

Hharinihari6791@gmail.com

Activity_7.1

This interactive scatterplot animates the Iris dataset, cycling through petal width, sepal width, petal length, and sepal length on the x-axis while sepal length remains fixed on the y-axis. Colored circles represent three species—setosa in skyblue, versicolor in lightgreen, and virginica in orange—with a legend and dynamically updating axis labels. Built with D3 v6, it uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` within a reusable `scatterPlot` module, driven by `setInterval` to rotate columns and SVG rendering for all marks and annotations.

Ssumanthnaidu213@gmail.com

Activity 9&10

This interactive scatter plot displays the Iris dataset, cycling through different feature pairs on the x-axis (petal width, sepal width, petal length, and sepal length) every few seconds while the y-axis remains sepal length. Data points are colored by species (setosa, versicolor, virginica) using D3.js to render the SVG visualization, with custom axis labels, a legend, and a title. The code leverages D3's `scaleLinear`, `axisLeft`, and `axisBottom` APIs within a reusable scatter plot module, and uses `setInterval` to animate the changing axes. Data is loaded via D3's `csv` function from a remote GitHub Gist.

Activity 7

This interactive scatter plot explores the Iris dataset, cycling through four different variable pairings on the x-axis to reveal relationships between sepal and petal measurements. The visualization uses D3 (v6.7.0) with an animated `setInterval` to rotate the x-axis feature, while the y-axis remains sepal length. Each point is colored by species—setosa, versicolor, and virginica—using a custom marker function. The plot is rendered as an SVG with D3's `scaleLinear`, `axisLeft`, and `axisBottom` APIs, and includes a manual legend and axis labels.

KKarnam Abinay Goud

Activity_7

This interactive scatter plot animates through the Iris dataset, cycling between four feature pairs on the x-axis while displaying species-colored circles. The visualization uses D3.js modules including `csv`, `select`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` within a reusable `scatterPlot` function. An SVG rendering with `setInterval` drives the animation, rotating through petal_width, sepal_width, petal_length, and sepal_length. The legend labels each species with distinct colors, while axis titles update dynamically to reflect the current variable being displayed.

MManojsai Bangaru

Activity 9&10

This interactive scatter plot animates through different pairings of the Iris dataset’s four measurements, cycling the x-axis between petal width, sepal width, petal length, and sepal length while keeping sepal length on the y-axis. Each species appears as a distinct color—sky blue, light green, or orange—with an animated legend and title rendered inside the SVG. The visualization uses d3.csv to load the data, d3.scaleLinear for axes, and d3.axisLeft and d3.axisBottom for scales, with a reusable scatterPlot function driving the transitions via setInterval.

SSumanthnaidu213