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Customizing Axes

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VVijay2051
Last edited Jul 8, 2019
Created on Jul 8, 2019
Forked from Customizing Axes

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It demonstrates customizing D3 axes: the y-axis labels are styled with a large font, the x-axis uses a custom tick formatter to convert values like “1.42G” to “1.42B”, and gridlines are extended with tickSize while the domain lines are removed. The chart is rendered as SVG with d3.scaleLinear and d3.scaleBand, with data loaded from CSV.

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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This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It demonstrates customizing D3 axes: the y-axis labels are styled with a large font, the x-axis uses a custom tick formatter to convert values like “1.42G” to “1.42B”, and gridlines are extended with tickSize while the domain lines are removed. The chart is rendered as SVG with d3.scaleLinear and d3.scaleBand, with data loaded from CSV.

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