Fork of Reusable Scatter plot Activity 8

Fork of Reusable Scatter plot Activity 8

This interactive scatter plot animates through the Iris dataset, cycling the x-axis through petal width, sepal width, petal length, and sepal length while keeping sepal length on the y-axis. Circles are colored by species using custom color mapping. Built with D3 v6, it uses `scaleLinear`, `axisLeft`, `axisBottom`, and `setInterval` to update the chart, with SVG rendering and legend labels added directly to the DOM.

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Fork of Reusable Scatter plot Activity 8.2

This visualization displays the Iris dataset in an animated scatter plot that cycles through different sepal and petal measurements on the x-axis. Species appear as colored circles—skyblue, lightgreen, and orange for setosa, versicolor, and virginica—with a static legend on the left. Built with D3 v6, it uses `scatterPlot()` to generate SVG axes and scales, while `setInterval` updates the x-axis data every few seconds. The code loads CSV data via `d3.csv`, parses numeric fields, and renders circles with explicit `cx`, `cy`, `rx`, and `ry` attributes.

95% match

Fork of Reusable Scatter plot Activity 8

This visualization displays the Iris dataset as a scatter plot, with the x-axis cycling through petal width, sepal width, petal length, and sepal length over time, while the y-axis remains fixed on sepal length. Points are colored by species (setosa, versicolor, virginica) using a custom marker function. Built with d3.scaleLinear, d3.axisLeft, and d3.axisBottom, it animates via setInterval, updating axes and labels dynamically. The SVG render shows a legend, title, and axis labels, with data loaded from a remote CSV using d3.csv.

Fork of Fork of Reusable Scatter plot Activity 8.2

This animated scatter plot visualizes the Iris dataset, cycling through four feature pairs to reveal relationships between sepal and petal measurements. Colored points distinguish the three iris species (setosa, versicolor, and virginica) with a color legend. Built with D3 v6, the visualization uses `d3.csv` to load data, `scaleLinear` with `extent` for axes, and `setInterval` to switch axis variables, re-rendering the chart with `axisBottom` and `axisLeft` while updating labels and titles dynamically.

Rruchithakakarla336@gmail.com

Fork of Reusable Scatter plot Activity 8

This animated scatter plot cycles through four Iris flower measurements (petal width, sepal width, petal length, and sepal length) on the x-axis against sepal length on the y-axis, using color-coded circles to distinguish species (setosa, versicolor, virginica). Built with D3.js (v6.7.0), it uses `scaleLinear`, `axisLeft`, `axisBottom`, and a reusable `scatterPlot` module to render the SVG visualization. The data is loaded from a GitHub-hosted Iris dataset via `d3.csv`, and a `setInterval` timer drives the rotation of variables, updating both the plot and axis labels dynamically.

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

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.