Activity 7

Activity 7.1

This interactive scatter plot visualizes the Iris dataset, cycling through different pairings of sepal and petal measurements on the x-axis while keeping petal width on the y-axis. It animates the transition between these variable combinations using a timed interval. The visualization is built with D3.js (version 6.7.0), using the `scaleLinear`, `axisLeft`, `axisBottom`, and `csv` utilities. Data is loaded from a GitHub gist, and the plot updates its axes and point positions dynamically. The SVG rendering includes a legend, axis labels, and a title, with colors distinguishing the three Iris species.

MMandadi Nishita

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.

Activity-7

This interactive scatter plot visualizes the Iris dataset, cycling through different flower measurements (petal width, sepal width, petal length, sepal length) on the x-axis every few seconds via `setInterval`. It uses D3 (v6) to render SVG circles colored by species, with axis scales via `scaleLinear`, `axisLeft`, and `axisBottom`. The visualization includes a legend, title, and axis labels, dynamically updating the plot's x-value mapping while maintaining the y-axis as sepal width.

SSiva Kishore Reddy

Activity7

This interactive scatter plot animates through different pairwise combinations of the Iris dataset’s four measurements, cycling the x-axis among petal width, sepal width, petal length, and sepal length while keeping sepal length on the y-axis. Points are colored by species (setosa, versicolor, virginica) with a static legend and labeled axes. Built with D3.js (v6.7.0), it uses `scaleLinear`, `axisLeft`, and `axisBottom` for scales and axes, and `setInterval` to update the plot’s `xValue` assignment. The SVG rendering is generated from a CSV fetched via `d3.csv` and styled with CSS.

Ssjannaikode@gmail.com

Ccharanshiva769@gmail.com

Activity 7 tutorial

This interactive scatter plot visualizes the Iris flower dataset, animating through different combinations of sepal and petal measurements. The visualization cycles through four variable pairings every few seconds, with points colored by species (setosa, versicolor, virginica) and accompanied by a legend and axis labels. Built with D3 v6, it uses `d3.csv` for data loading, `scaleLinear` and `axisLeft`/`axisBottom` for scales and axes, and `setInterval` to trigger re-renders of the reusable `scatterPlot` function.

Vvarunreddy.gudigopuram@gmail.com

Activity 7

This visualization is an animated scatter plot of the classic Iris dataset, cycling through different pairings of sepal and petal measurements on the axes. It uses D3.js (v6.7.0) via UNPKG, with a custom `scatterPlot` module built from D3's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs. The plot updates every few seconds, transitioning between four variable combinations, and includes a color-coded legend for the three iris species.

Mm.maanvireddt761@gmail.com

Activity7

This animated scatter plot explores the Iris flower dataset, cycling through different combinations of sepal and petal measurements on the x- and y-axes. It uses D3's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to construct the axes and positions. Circles are colored by species (setosa, versicolor, virginica) via a custom marker function. The visualization loops through four variable pairings using `setInterval`, updating the plot's scales and redrawing axis labels and legends.

Activity 7

This animated scatter plot displays the Iris flower dataset, cycling through different feature pairs on the x-axis while the y-axis remains sepal length. The visualization uses D3's `scaleLinear`, `axisLeft`, and `axisBottom` APIs to render axes and circles. Species are color-coded (skyblue, lightgreen, orange) with a legend, and a `setInterval` timer drives the animation, updating the plot’s x-value binding every few seconds. The SVG is rendered full-window with styled text labels for axis titles and species names.

Kkblikitha22@gmail.com