Fork of Reusable D3 Scatter Plot

Fork of Reusable D3 Scatter Plot

This example displays the Iris Dataset as an animated scatter plot, cycling through four different feature combinations every two seconds. The visualization is constructed using D3.js version 6.7, leveraging `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map data values to SVG circle positions. The plot is rendered as a full-window SVG, with data loaded from a CSV file hosted on GitHub. A reusable `scatterPlot` charting function encapsulates the rendering logic, allowing dynamic updates of the x-axis mapping without rebuilding the entire visualization.

MMar-99

Mmadipadiga.raviteja@gmail.com

Fork of Reusable D3 Scatter Plot

This example demonstrates the classic Iris Dataset through an animated scatter plot that cycles through different feature combinations every two seconds. The visualization uses D3.js v6 with a reusable chart pattern, leveraging `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render axes and circles in SVG. The code fetches CSV data from a GitHub gist, parses numeric columns, and employs `setInterval` to dynamically update the x-axis mapping between petal width, sepal width, petal length, and sepal length. The scatter plot fills the browser window and uses a custom font from Google Fonts.

Fork of Reusable D3 Scatter Plot

This example showcases the classic Iris dataset as an animated scatter plot. It cycles through the four numeric columns (petal and sepal measurements) on the x-axis every two seconds, while the y-axis displays sepal length. The visualization uses D3.js v6, specifically leveraging `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` within a custom reusable `scatterPlot` function. It renders as an interactive SVG, with animated axes and circular marks that update as the data mapping changes.

RRadhakrishna246

Nnagasai.mandalapu@gmail.com

Fork of Reusable D3 Scatter Plot

This example shows the Iris Dataset as an animated scatter plot, cycling through different pairings of flower measurements every two seconds. The plot is built with D3 v6, using `scaleLinear` for axes, `axisLeft` and `axisBottom` for ticks, and a reusable chart function that updates circles and axes in response to changing data accessors. The visualization uses SVG rendering and a custom `setInterval` loop to switch between four measurement columns.

Fork of Reusable D3 Scatter Plot

This example presents an interactive scatter plot of the Iris dataset, cycling through different feature pairings on the x-axis every two seconds. Built with D3 v6, it uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map data to SVG circles. The chart is reusable via a custom `scatterPlot` function that exposes setters for width, height, data, margins, and accessor functions, allowing the x-axis to dynamically switch between petal width, sepal width, petal length, and sepal length while the y-axis remains fixed on sepal length.

RRohith arabati

Fork of Reusable D3 Scatter Plot

This example presents an animated scatter plot of the Iris dataset, cycling through different feature pairs to reveal relationships among species. The visualization uses D3 v6 APIs including `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map data to positions and render axes. A `setInterval` triggers updates every two seconds, switching the x-axis variable among petal width, sepal width, petal length, and sepal length while keeping sepal length on the y-axis. The chart renders as SVG with circles for each data point, adapting to the full window size.

Ssuguna428

Fork of Reusable D3 Scatter Plot

This example presents the classic Iris flower dataset as an animated scatter plot. Built with D3.js, it cycles through the dataset’s four numerical attributes on the x-axis every two seconds, while the y-axis consistently maps sepal length. The visualization updates axes through reusable `axisBottom` and `axisLeft` APIs and renders data points as SVG circles whose coordinates are computed via `scaleLinear`. It uses `select` and `.join` for efficient idempotent updates, and reads `iris.csv` directly from a GitHub Gist.

SSnapika

Fork of Reusable D3 Scatter Plot

SSnapika