ICE7-reusable scatter plot

ICE7 reusable

This interactive scatter plot visualizes the Iris dataset, displaying petal length against sepal length for three species of iris flowers. The visualization cycles through different x-axis variable combinations every 2.1 seconds, enabling comparisons across all four floral measurements. Built with React and D3 v6, the code uses the `scaleLinear`, `scaleOrdinal`, and `axisBottom` APIs to render SVG circles and axes, with a `setInterval` timer driving the animation. Data is loaded from a CSV file via D3's `csv` parser.

Vvegurusaiprathyusha

ICE 7 - Reusable Scatter Plot

This example presents a reusable scatter plot built with React and D3, visualizing the Iris dataset. It displays petal width against sepal length, with points colored by species (red for setosa, black for versicolor, green for virginica). The visualization includes axes and labels, and cycles through different column pairings every 140 milliseconds, animating the scatter plot as it updates the x and y values. The code uses D3’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to handle scaling and axes, rendering SVG circles via a custom `scatterPlot` function.

NNITIN0601

ICE-7 Reusable Scatter Plot

This interactive scatter plot animates through different pairings of Iris flower measurements, cycling between petal width, sepal width, petal length, and sepal length on the x-axis while keeping sepal length on the y-axis. The visualization uses the D3.js library loaded via React, rendering points as SVG circles whose colors map to three Iris species. It incorporates a dynamic legend and axis labels that update with each animation frame, driven by D3's `setInterval` and the reusable `scatterPlot` function.

BBhanuMotupalli

ICE 7 Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris flower dataset, mapping petal width against sepal length with distinct SVG symbols representing each species. Built with D3 v6 and React, the chart uses `scaleLinear`, `scaleOrdinal`, and the `symbol` generator to render data points. Every 15 seconds, the x-axis automatically cycles through different floral measurements (petal width, sepal width, petal length, sepal length) using a `setInterval` loop, dynamically updating the plot while axes and points animate via D3's join pattern.

TTejaswi@3271

ICE #7 - Reusable Scatterplot Iris Dataset

This interactive scatterplot explores the classic Iris dataset, displaying measurements of sepal and petal dimensions across three flower species. The visualization cycles through different feature combinations on the x-axis while the y-axis remains fixed, with colored elliptical markers distinguishing species. Built with React, D3.js, and SVG animation, it uses the `scaleLinear`, `axisLeft`, and `axisBottom` APIs for scaling and axes, while `setInterval` drives the sequential feature rotation. The chart reads CSV data from a remote source, fitting axes and plotting points for each iteration.

KKevin Raj

ICE-7 Reusable Scatterplot

This interactive scatterplot visualizes the classic Iris dataset, plotting sepal and petal measurements as colored circles. The chart cycles through different attribute pairings every two seconds, allowing comparison of species clusters across dimensions. Built with React and D3.js, it uses `scaleLinear` for axes, `scaleOrdinal` for categorical coloring, and SVG circles with animated transitions. The code demonstrates a reusable chart component that dynamically updates via `setInterval`, with data loaded from a GitHub Gist.

Ggayuvurukuti@gmail.com

ICE7- reusable scatter plot

This visualization presents the Iris dataset as a dynamic scatter plot that cycles through different attribute pairings every two seconds, with points colored by species (setosa in red, versicolor in blue, virginica in green). Built with a reusable `scatterPlot` function using D3’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`, the SVG chart renders axes and circles while a `setInterval` timer reconfigures the x-value mapping to explore petal and sepal measurements. The code imports data from a GitHub-hosted CSV and uses D3’s `csv` parser.

KKolliTeja

ICE 7 - Reusable D3 ScatterPlot.

This example presents an animated scatterplot of the Iris dataset, cycling through different petal and sepal measurements on the x-axis while the y-axis remains fixed on sepal length. The visualization uses D3 v6 within a React framework, rendering SVG circles whose colors correspond to iris species. A reusable `scatterPlot` function, built with `scaleLinear`, `axisLeft`, and `axisBottom`, handles the axes and marks, while `setInterval` triggers periodic updates to the x-axis mapping. The code also includes custom legend labels and axis titles generated dynamically.

NNaveen Kumar