Fork of Reusable Scatter plot Activity 8

Fork of Reusable Scatter plot Activity 8

This animated scatter plot explores the Iris dataset, cycling through different feature pairings on the x-axis while keeping sepal length on the y-axis. Colored circles represent three species of iris flowers. The visualization is built using D3's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs within a reusable `scatterPlot` function. A `setInterval` loop updates the plot's x-value mapping, redrawing axes and text labels accordingly. The code also includes custom legend labels, a title, and styling applied through SVG attributes.

AAamir Hameed mir

Fork of Reusable Scatter plot Activity 8

This interactive scatter plot animates the classic Iris dataset, cycling through four different x-axis attributes while keeping sepal length on the y-axis. D3 version 6.7 loads CSV data and renders SVG circles colored by species, with a custom legend and axis labels. The visualization uses `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` from the reusable chart module. A `setInterval` timer triggers updates to the x-value accessor every few seconds, demonstrating how a modular scatter plot function can be reused with changing data mappings.

Iis0253

Vvamsikrishnakanchukommala@my.unt.edu

Fork of Reusable Scatter plot Activity 8

This animated scatter plot visualizes the Iris dataset, showing petal and sepal dimensions across three flower species. The visualization cycles through different attribute combinations on the x-axis every few seconds, updating the scatter plot dynamically with D3's `setInterval`. Circles are color-coded by species (setosa, versicolor, virginica), with filled markers rendered in skyblue, lightgreen, and orange. The implementation uses D3's `scaleLinear`, `axisLeft`, `axisBottom`, and `csv` data loading, with SVG circles and text for labels and legends, updating via `selection.join` and `selection.call`.

Bboinapallyhimaja657@gmail.com

Fork of Reusable Scatter plot Activity 8

This animated scatter plot explores the Iris dataset by cycling through different combinations of sepal and petal measurements on the x-axis, while the y-axis consistently shows sepal length. The visualization uses D3.js version 6.7.0 to render SVG circles colored by species, with a custom `scatterPlot` module handling the linear scales and axes. Data loads from a remote CSV file, and a `setInterval` function triggers the periodic axis updates, regenerating the chart and axis labels with each cycle.

Mmythripopuri2001@gmail.com

Fork of Reusable Scatter plot Activity 8

This animated scatter plot displays the Iris flower dataset, cycling through four feature pairings (petal width, sepal width, petal length, and sepal length) on the x-axis while keeping sepal length on the y-axis. Points are colored by species (setosa, versicolor, virginica) using static legend markers. Built with D3 v6, the visualization uses `scaleLinear`, `axisLeft`, `axisBottom`, and `csv` parsing, with a reusable `scatterPlot` module. A `setInterval` triggers axis updates every few seconds, while SVG circles are appended directly to the body with custom `rx` and `ry` attributes.

Fork of Reusable Scatter plot Activity 8 v

This interactive scatter plot displays the Iris dataset, showing relationships between petal and sepal measurements with points colored by species (setosa, versicolor, virginica). The visualization cycles through different x-axis variables every few seconds, while the y-axis remains fixed on sepal length. Built with D3.js, it uses a custom reusable scatterPlot function with SVG circles, axis scales, and a legend. The code employs `scaleLinear`, `axisLeft`, `axisBottom`, and `setInterval` for the rotating axis animation, rendering data from a CSV file fetched via D3's `csv` method.

Vvikramkotlo9@gmail.com

Fork of Reusable Scatter plot Activity 8

This interactive scatter plot visualizes the Iris dataset, with points colored by species (setosa, versicolor, virginica) and sized by sepal dimensions. It cycles through different variable pairings on the x-axis every few seconds using `setInterval`, while the y-axis remains fixed. The visualization is built with D3 v6, using `scaleLinear` for axes, `csv` for data loading, and SVG circles for marks. A legend distinguishes species colors, and axis labels update dynamically to reflect the current x-variable being displayed.

Ddeekshakondam@gmail.com

Fork of Reusable Scatter plot Activity 8

An animated scatter plot displays the Iris dataset, cycling through four flower measurements on the x-axis while keeping sepal length on the y-axis. Circles represent individual flowers, colored by species (setosa, versicolor, virginica) with a legend and axis labels. Built with D3 v6, the visualization uses `scaleLinear`, `axisLeft`, and `axisBottom` within a reusable `scatterPlot` module, and updates via `setInterval` to rotate the x-axis variable every few seconds.

Vvchittimadha@gmail.com