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Customizing Axes

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Eecw99
Last edited Mar 22, 2020
Created on Mar 22, 2020
Forked from Customizing Axes

This bar chart displays the top 10 most populous countries using 2018 UN population estimates, converted from thousands to raw numbers. The example emphasizes customizing D3 axes: the x-axis disables its domain, uses a custom tick formatter (converting 'G' to 'B'), and adds grid lines with negative tick sizes, while the y-axis removes its domain and tick lines entirely. It also styles tick text, axis labels, and the title via CSS. The visualization relies on D3 v5's `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` within an SVG rendering.

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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Customizing Axes

This bar chart displays the top 10 most populous countries using 2018 UN population estimates, converted from thousands to raw numbers. The example emphasizes customizing D3 axes: the x-axis disables its domain, uses a custom tick formatter (converting 'G' to 'B'), and adds grid lines with negative tick sizes, while the y-axis removes its domain and tick lines entirely. It also styles tick text, axis labels, and the title via CSS. The visualization relies on D3 v5's `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` within an SVG rendering.

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