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Customizing Axes

✓ Published1🌍 Public
Xxychen0612.cs09@nycu.edu.tw
Last edited Sep 20, 2023
Created on Sep 19, 2023

This example visualizes the top 10 most populous countries using a horizontal bar chart, with population values displayed along the x-axis and country names on the y-axis. The chart customizes axes by removing domain lines, applying tick marks that span the full chart height, and formatting population labels using D3’s `format('.3s')` to replace 'G' with 'B' for billions. It reads data from a CSV file and renders SVG elements using D3 v7, employing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to build the visualization.

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Customizing Axes

This example visualizes the top 10 most populous countries as a horizontal bar chart, using population values loaded from a CSV file. The axes are heavily customized: the y-axis removes its domain line and tick marks, while the x-axis applies a custom tick format that abbreviates numbers (e.g., converting billions to "B") and draws full-width grid lines. Both axes and the chart title use large sans-serif fonts with muted gray fills. The code relies on D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `format`.

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