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Customize Axes

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PPotikorn
Last edited Feb 17, 2020
Created on Feb 14, 2020

This example shows a horizontal bar chart ranking the top 10 most populous countries, with population values formatted in billions using a custom tick formatter that replaces 'G' with 'B'. The chart uses d3.scaleBand for the categorical y-axis and d3.scaleLinear for the quantitative x-axis, with axes rendered via d3.axisLeft and d3.axisBottom. Gridlines extend from the x-axis ticks across the plot, and the y-axis domain lines are removed for a cleaner look. Data loads from a CSV file and is parsed with d3.csv, while SVG rendering and styling are handled through D3 selections and CSS classes.

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Customizing Axes

This example shows a horizontal bar chart ranking the top 10 most populous countries, with population values scaled and formatted in billions. It demonstrates customized axes: the y-axis removes its domain and tick lines, while the x-axis uses a tick format that abbreviates numbers (e.g., converting "G" to "B") and includes a translated label. The code uses d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, rendering SVG rectangles with a steelblue fill. Data comes from a local data.csv file, processed by multiplying population values by 1,000.

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