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Customizing Axes

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BBraja Gopal Das
Last edited Apr 19, 2019
Created on Apr 19, 2019
Forked from Customizing Axes

This example shows a scatterplot of vehicle weight versus horsepower for the top 10 most populous countries, using data from an auto-mpg dataset loaded via `d3.csv`. The visualization emphasizes customizable axes: the y-axis is rotated with custom text, while the x-axis uses `d3.format('.3s')` for abbreviated labels. Both axes include extended tick lines and removed domains, created with `d3.axisLeft` and `d3.axisBottom`. Circles are rendered as SVG elements positioned by `d3.scaleLinear` scales with `.nice()` padding.

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Customizing Axes

This example shows a scatterplot of automobile horsepower against weight, with clearly labeled axes and a title. The axes are customized using D3’s `axisBottom` and `axisLeft` to include gridlines via negative tick sizes, while axis labels are added as SVG text elements with rotations. Data from a CSV file is loaded with `d3.csv`, and scales are created using `scaleLinear` with `.nice()` for clean tick intervals. The circles are rendered as SVG elements with adjustable opacity, and tick lines and labels are styled via CSS.

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This example demonstrates how to customize axes in D3, plotting automobile horsepower against weight from the auto-mpg dataset. The scatterplot uses d3.scaleLinear with .nice() to smooth domain extents, while d3.axisBottom and d3.axisLeft are configured with tickSize to create gridlines. Tick labels are formatted using d3.format, replacing "G" with "B" for billions. The SVG rendering includes removing default domain paths, adding axis labels and a title, with styled circles and text via CSS.

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