Fork of Reusable D3 Scatter Plot- ICE7

Fork of Reusable D3 Scatter Plot- ICE7

This interactive scatter plot visualizes the Iris dataset, cycling through four different floral measurements on the x-axis over time while plotting petal width against sepal length. It uses D3 v6 to render animated SVG circles colored by species, with the y-axis fixed and the x-axis rotating automatically via `setInterval`. A legend identifies the three species, and axis labels update dynamically to reflect the current dimension. The code relies on D3’s `csv` import, `scaleLinear` scaling, and custom `scatterPlot` API.

AArefa Patwary

Fork of Reusable D3 Scatter Plot- ICE7

This interactive scatter plot visualizes the Iris flower dataset, animating through different feature combinations. A larger scatter plot displays sepal and petal dimensions, while a smaller legend shows color-coded species (setosa, versicolor, and virginica). Built with D3 v6, the `scatterPlot` module uses `scaleLinear`, `axisLeft`, and `axisBottom` APIs. Data is loaded from a CSV file, and a `setInterval` timer cycles through four x-axis variables—petal width, sepal width, petal length, and sepal length—updating the chart's axes and labels dynamically. The SVG rendering includes colored circles, axis labels, and a titled legend.

Ppravallikayaram12

Fork of Reusable D3 Scatter Plot- ICE7

Ppravallikayaram12

Fork of Reusable D3 Scatter Plot- ICE7

This animated scatter plot cycles through four Iris flower measurements—petal width, sepal width, petal length, and sepal length—on the x-axis while keeping sepal length on the y-axis. Data points are colored by species using magenta, cyan, and orange markers. Built with D3 v6, the visualization uses `scaleLinear`, `axisLeft`, `axisBottom`, and `join` to render SVG circles and axes, with a `setInterval` function updating the x-value mapping every second. The Iris dataset is loaded via `d3.csv`, and a custom legend labels each species.

Ssenthilrajendran1

Reusable D3 Scatter Plot- ICE7

This animated scatter plot visualizes the Iris dataset, cycling through four flower measurements (petal width, sepal width, petal length, sepal length) on the x-axis while keeping sepal length on the y-axis. Data points are colored by species using orange, blue, and black marks. The example demonstrates a reusable scatter plot component built with D3 v6, using `d3.csv` for data loading, `d3.scaleLinear` and `d3.extent` for scaling, and `d3.axisLeft` and `d3.axisBottom` for axes. A `setInterval` updates the x-value mapping, triggering re-renders with SVG circles and a custom legend.

LLakshmiVandanaNunna

Fork of Reusable D3 Scatter Plot- ICE7

This animated scatter plot visualizes the Iris flower dataset, cycling through different petal and sepal measurements on the x-axis while plotting sepal length on the y-axis. Data points are color-coded by species (setosa in orange, versicolor in blue, virginica in white) with a fixed legend. Built with D3 v6, the visualization uses a custom `scatterPlot` module with `scaleLinear`, `axisLeft`, and `axisBottom` to render axes, while `setInterval` cycles through four measurement columns every few seconds. The SVG rendering includes labeled axes and a species legend, with all text styled white against a black background.

AAnanthulaaditya

Fork of Reusable D3 Scatter Plot- ICE7

This animated scatter plot visualizes the Iris flower dataset, cycling through four different x-axis measurements—petal width, sepal width, petal length, and sepal length—while keeping sepal length fixed on the y-axis. Each data point is colored by species (setosa, versicolor, virginica), with a static legend. The example uses D3 v6 APIs such as `scaleLinear`, `axisLeft`, `axisBottom`, and `setInterval` to update the chart, rendering SVG circles and text with a custom `scatterPlot` reusable function.

AArefa Patwary

Fork of ICE 7 Reusable D3 Scatter Plot

This interactive scatter plot displays the Iris dataset, mapping sepal length against petal width. Built with D3.js, it uses `scaleLinear`, `scaleOrdinal`, `axisLeft`, `axisBottom`, and `symbols` to render SVG marks. The plot cycles its x-axis through four flower measurements every 15 seconds, creating an animated exploration of correlations. Data is loaded from a remote CSV, and the chart is constructed as a reusable function with configurable accessors for dimensions, data, and scales.

Ssaiteja0725