Example Reusable scatterplot

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.

KKerim

D3 Scatterplot III - reusable charts

This example demonstrates a reusable scatterplot component built with D3 v7, visualizing the Iris dataset. It renders circles scaled from petal length and sepal length measurements using `d3.scaleLinear` for x and y axes. The chart is implemented as a configurable function that accepts data, accessor functions, dimensions, and margins, then renders SVG circles, axis labels, and ticks. It loads data from a CSV URL via `d3.csv` and incorporates an HTML/CSS/SVG rendering pipeline.

MMarvin Frede

Reusable scatterplot

This example demonstrates a reusable scatterplot component built with D3.js, visualizing the classic Iris dataset loaded from a CSV file. The chart plots petal length and width measurements as circles, with axes generated using D3's scaleLinear and axisLeft/axisBottom functions. The scatterPlot function exposes configurable setters for width, height, data, margins, and radius, allowing the chart to be adapted and reused. The visualization renders as SVG, sized to fill the browser window.

GGeorgi Dimitrov

Reusable D3 Scatterplot

This example demonstrates a reusable D3.js scatterplot that visualizes the Iris dataset, plotting petal width against sepal length. The chart uses d3.scaleLinear for both axes, d3.axisLeft and d3.axisBottom for tick marks, and SVG circles for data points. The code implements a modular, configurable scatterPlot function with settable properties for width, height, data, margins, and radius, allowing the same visualization to be easily reused with different datasets or configurations. The rendering is fully SVG-based and fills the browser window.

Aajoua

UUzoemeka Okechukwu Innocent

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.

Reusable Scatter Plot

This example demonstrates a reusable scatter plot built with D3 v6, displaying Iris flower measurements with petal length on the x-axis and sepal length on the y-axis. The visualization loads CSV data from a GitHub repository and uses a custom `scatterPlot()` function that encapsulates scales, axes, and labels through a configurable API with methods like `.width()`, `.data()`, and `.xValue()`. The SVG rendering includes axis labels and animated circle elements, showing how D3's modular functions enable flexible, reusable chart components.

UUVarshaReddy

Reusable Charts

This example demonstrates a reusable scatterplot component built with D3.js, visualizing the classic Iris flower dataset. It plots sepal length against petal length, with each flower represented by a circle of fixed radius. The visualization includes axes, axis labels, and a title, using D3’s scaleLinear, axisLeft, axisBottom, and csv data loading. The code implements a configurable chart function with a fluent API for setting width, height, data, value accessors, margins, and radius, highlighting the reusable pattern.

Aalexscott-untitled

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.

Jjmetzg11alpine