Reusable D3 Scatter Plot

Reuseable D3 Scatter Plot

This example demonstrates a reusable scatter plot built with D3.js, visualizing the Iris dataset by mapping petal length to the x-axis and sepal length to the y-axis. The code uses `d3.csv` to load the data, `d3.scaleLinear` for both axes, and `d3.axisLeft` and `d3.axisBottom` to render the ticks and labels. Circles are drawn as SVG elements with dimensions that adapt to the full browser viewport, using the `d3.select` and `join` pattern for efficient data binding.

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Reuseable D3 Scatter Plot

This reusable D3 scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. It employs a functional, configurable design using d3’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to automatically compute scales and render axes. The code loads CSV data via d3’s `csv` and draws SVG circles with a fixed radius, adapting to the browser window’s dimensions. The implementation showcases a modular chart-building pattern with settable properties for dimensions, data, and margins.

95% match

Reusable D3 Scatter Plot

This example demonstrates a scatter plot of the Iris dataset, mapping petal length to the x-axis and sepal length to the y-axis. The visualization uses D3 v7 APIs including `d3.csv`, `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to load data, scale positions, and render axes. Circles of fixed radius are drawn as SVG elements with coordinates computed from the scaled values. The chart fills the browser window, with the data sourced from a GitHub Gist and rendering done entirely in SVG.

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Reusable D3 scatter plot

This reusable D3 scatter plot visualizes the Iris dataset, showing the relationship between petal length and sepal length for individual flowers. Built with D3 v7, it renders circles as SVG marks positioned by d3.scaleLinear scales derived from the data extents. The code uses d3.csv to load the data, d3.axisLeft and d3.axisBottom to generate axes, and d3.selectAll with data joins to bind circles. The visualization fills the entire browser window and includes a 24-pixel tick font size, making it suitable for large displays.

Reusable D3 Scatter Plot

This example presents a reusable scatter plot visualizing the Iris Dataset, mapping petal length to the x-axis and sepal length to the y-axis. It demonstrates a configurable D3 chart factory pattern, where the scatter plot function accepts chained setters for width, height, data, accessors, margins, and point radius. The code uses D3's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to render an SVG with circles and axes. The data loads from a GitHub Gist CSV file, and the visualization fills the entire browser window.

Ttrissentety

Fork of Reusable D3 Scatter Plot

This example displays the classic Iris dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. It uses a reusable D3 module pattern with `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render SVG circles and axes. The code loads data via `d3.csv` from a gist, parses numeric fields, and applies a configurable margin and radius through a closure-based API. The visualization fills the browser window and uses a full-screen SVG without additional interaction.

Reusable D3 Scatter Plot

This example presents a reusable D3.js scatter plot visualizing the Iris Dataset, with petal length mapped to the x-axis and sepal length to the y-axis. The implementation uses D3's `scaleLinear` for coordinate scaling, `extent` for domain calculation, and `axisLeft`/`axisBottom` for labeled axes. The code demonstrates a custom `scatterPlot` function that accepts configurable parameters like dimensions, margins, data, and value accessors, enabling flexible reuse across different datasets. The plot renders as an SVG with circles sized by a configurable radius parameter, and the dataset is loaded via D3's `csv` function from a remote source.

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