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Customizing Axis

✓ Published1🌍 Public
AAlex Reitz
Last edited Mar 26, 2020
Created on Mar 26, 2020
Forked from Making a bar chart

This bar chart displays the populations of the top 10 most populous countries using a horizontal layout, with country names on the y-axis and population totals on the x-axis. The chart uses d3.csv to load data from a local CSV file and renders with SVG. The code customizes the axes through d3.axisLeft and d3.axisBottom, applying a custom tick format that converts values from G to B, and removes gridline domains. A title and axis label are added as SVG text elements.

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MIT Licensed

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Customizing Axis

This bar chart displays the top 10 most populous countries, with population values formatted in billions using a custom tick formatter that replaces "G" with "B" in d3.format output. The chart uses d3.csv, scaleLinear, scaleBand, axisBottom, and axisLeft to render horizontal bars, with gridlines extending from x-axis ticks. A title and axis label are added via SVG text elements, and the y-axis domain lines and tick marks are removed while the x-axis domain is hidden, leaving a clean, focused visualization.

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This bar chart shows the populations of the top 10 most populous countries, using a horizontal layout with population on the x-axis and country names on the y-axis. The example demonstrates customizing axes by removing default tick lines, adding a custom tick format that converts G to B, and including custom axis labels. Built with D3 v4, it uses d3.scaleLinear, d3.scaleBand, d3.axisBottom, and d3.axisLeft to render the SVG visualization from a CSV data file.

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