ICE-7

ICE-7 Scatterplot

This animated scatterplot visualizes the Iris Dataset, plotting petal width against sepal length with points colored by species (setosa, versicolor, virginica) in red, teal, and blue. Using D3.js, the visualization cycles through different column pairings every two seconds—including sepal width, petal length, and sepal length—via setInterval, dynamically updating the axes and circles without user interaction. The SVG rendering uses d3.scaleLinear, axisLeft, and axisBottom to construct the coordinate system.

BBaswa Sathvika Reddy

ICE 7

This animated scatter plot cycles through four pairings of Iris dataset measurements every second, revealing clusters of the three iris species. Built with D3 v6, the visualization uses a custom reusable `scatterPlot` module with `scaleLinear`, `axisLeft`, and `axisBottom`, while species are color-coded green, blue, and red. Animated via `setInterval`, the SVG updates the x-axis mapping across petal width, sepal width, petal length, and sepal length, with the initial view plotting petal width against sepal length.

DDaniel Mata

ice - 7

This animated scatter plot visualizes the Iris Dataset, cycling through different pairings of sepal and petal measurements every two seconds. The visualization uses D3.js version 6.7.0, employing `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to build the chart, with species color-coded as red, blue, or grey. Rendered as an SVG, the plot updates dynamically by changing the x-axis variable through a `setInterval` loop, while the reusable `scatterPlot` chart component handles the layout and axis rendering.

SSaikiran2029

ICE 7-1 Reusable Scatter Plot

This interactive scatter plot visualizes the Iris dataset, mapping petal width to the x-axis and sepal length to the y-axis. The chart cycles through different attribute combinations every ten seconds, dynamically updating both axes and the data point positions. Built with a reusable D3 module, it uses `scaleLinear`, `axisLeft`, `axisBottom`, and `scaleOrdinal` for coloring points by species, with symbols varied by species type. The implementation loads data via `csv` from a GitHub gist and renders animated SVG elements.

Ssreesushmav

ICE 7- Scatter Plot

This animated scatter plot visualizes the Iris dataset, comparing sepal and petal measurements across three flower species. The chart cycles through different attribute pairs every two seconds, shifting which variables map to the x-axis while maintaining species-colored symbols. Built with D3 v6, it uses reusable chart functions with scaleLinear, scaleOrdinal, and symbol generators for rendering SVG paths. The visualization includes axis labels, a color legend for Iris species, and transitions driven by JavaScript’s setInterval, creating an interactive exploration of the dataset’s multivariate relationships.

SSharanya1307

ICE -7 Scatter Plot

This scatter plot visualizes the Iris Dataset across four numerical axes, cycling through them every second to reveal the relationships among sepal and petal measurements. It uses D3 v6 with a reusable chart pattern, mapping species to distinct colors and SVG symbols. The visualization demonstrates reusable chart architecture with d3.scaleLinear, d3.axisLeft, d3.axisBottom, d3.scaleOrdinal, and d3.symbol to render animated, multi-dimension comparisons.

GGogineni44

ICE-7 Scatter plot

This D3.js example visualizes the Iris Dataset with an animated scatter plot that cycles through different numeric attributes every two seconds. The plot maps petal width and sepal length onto the x and y axes, using `d3.scaleLinear` for scaling and `axisLeft`/`axisBottom` for tick marks. Each point is rendered as an SVG circle with a fixed radius, and the axes update dynamically as the displayed column changes. The animation loops through petal width, sepal width, petal length, and sepal length, demonstrating how the data distribution shifts across dimensions.

Aabdhaseeeb

ICE7

This example visualizes the Iris dataset using a reusable scatter plot built with D3.js. It animates through different numeric attribute pairings on the x-axis every two seconds, while color-coded circles represent the three iris species—setosa, versicolor, and virginica—in yellow, purple, and green. The plot uses D3 scales, axes, and data joins to render SVG circles, with each mark’s size and position driven by sepal and petal measurements. The code includes a custom scatterPlot factory function to manage margins, scales, and axis updates.

Ssowmyanagula@my.unt.edu