Customizing Axes

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Customizing Axes

✓ Published0🌍 Public

Last edited Nov 14, 2020

Created on Nov 14, 2020

This bar chart displays the top 10 most populous countries based on 2018 estimates from the United Nations World Population Prospects, with population values multiplied by 1,000 from the CSV data. The visualization demonstrates customized D3 v5 axes: a linear x-axis uses a tick formatter to abbreviate numbers (replacing ’G’ with ’B’) and includes an axis label, while the band y-axis removes its domain and tick lines for a cleaner look. The code relies on `scaleLinear`, `scaleBand`, `axisBottom`, `axisLeft`, and `format` from D3, rendering to SVG with margins, a title, and grid lines via negative tick sizes.

AI-generated description

This bar chart shows population of the top 10 most populous countries. The data comes from the year 2018 estimate in United Nations: World Population Prospects 2017. It also demonstrates customization of D3 axes.

See also the first bar chart visualization that this one builds on: Making a Bar Chart.

MIT Licensed

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