Customizing Axes

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Customizing Axes

✓ Published1🌍 Public

Last edited Dec 1, 2020

Created on Dec 1, 2020

This bar chart displays the top 10 most populous countries in 2018 using population estimates from the United Nations World Population Prospects, with the data loaded from a local CSV file. The example focuses on customizing D3 axes: the bottom x-axis uses `scaleLinear` with a tick format that converts billions to "B" via `format('.3s')` and `.replace('G', 'B')`, while the left y-axis uses `scaleBand`. Custom styling includes removed domain lines, tick lines styled via `axisBottom` and `axisLeft`, and axis labels and title added as SVG text elements.

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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