D3 Example

D3 Example

This example visualizes the classic Iris dataset as a scatter plot, mapping sepal length, petal length, and sepal width to the x-axis, y-axis, and circle radius, respectively, with species encoded by color. It demonstrates how to dynamically style D3.js axes via JavaScript by selecting SVG elements and applying font, size, and stroke properties. The approach enables axis styling without requiring external CSS, and is built on an earlier D3 tutorial example. The visualization uses D3’s linear scales and SVG rendering to draw the plot, with axes configured to use compact notation and custom tick counts.

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D3 Example

This interactive scatter plot visualizes the classic Iris dataset, mapping sepal and petal measurements to positions and size. The visualization is built using D3.js and Model.js to create a reusable, reactive module, with SVG rendering. It responds to window resizing, adjusting its dimensions via CSS while maintaining a dotted border and hover effects on data points. Axis labels and tick formatting are configurable, and the chart is derived from example 106 of the "Introduction to D3.js" screencast series.

D3 Example

A scatter plot of the Iris dataset displays sepal length against petal length, with point size mapped to sepal width and color mapped to species. The visualization shows how D3.js (version 3.5.5) dynamically styles axes through JavaScript, applying custom font, size, and stroke properties to tick labels, axis labels, and axis lines using `d3.selectAll` and `.style()`. Data is loaded from a CSV file via `d3.csv`, and the SVG rendering uses `d3.scale.linear` and `d3.svg.axis` for scaling and axis generation.

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D3 Example

This example visualizes the classic Iris dataset as a scatter plot, encoding sepal length, petal length, and sepal width on the x-, y-, and radius scales, while color encodes species. It demonstrates a “popping effect” by using the CSS `currentColor` keyword so that each circle’s semi-transparent fill and opaque stroke share the same data-driven color, revealing overlaps between marks. Built with D3 v4 and rendered as SVG, the code uses `d3.scaleLinear`, `d3.scaleOrdinal`, `d3.axisBottom`, and `d3.csv` for data loading and scales.

Basic Scatter Plot

This example visualizes the classic Iris dataset, plotting sepal length against petal length for 150 flowers of three species. Using D3.v4, it constructs an SVG scatter plot with labeled, ticked axes, employing `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft` for coordinate mapping and axis generation. The visualization also demonstrates custom axis label styling and margin-based layout, with data loaded from a CSV file.

D3 Example

This scatter plot of the Iris dataset maps sepal and petal measurements, encoding species with color and sepal width with point radius. It demonstrates a reactive data-joining architecture where scales and axes update automatically via D3’s data binding, with the SVG visualization responding to browser resizing through CSS-controlled dimensions.

D3 Scatter Plot

This D3 scatter plot visualizes the classic Iris dataset, plotting sepal length against petal length for 150 flower samples. Each circle represents an individual flower, with semi-transparent fill opacity to reveal overlapping points. The visualization is rendered as SVG, using d3.scaleLinear and d3.extent to map data values to screen coordinates, with axes generated via d3.axisLeft and d3.axisBottom. Data is loaded from a local CSV file using d3.csv, and the species of each sample is visible in the data but not encoded visually in this example.