Customizing Axes

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Customizing Axes

✓ Published0🌍 Public

Last edited Nov 8, 2020

Created on Nov 8, 2020

This bar chart displays the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization shows how D3 axis customization works, replacing the default axis labels with abbreviated tick formats and removing unnecessary domain lines. The code uses d3.csv to load the data, d3.scaleLinear and d3.scaleBand for positioning, and d3.axisLeft and d3.axisBottom to render the axes with custom tick sizes and formatting. The chart is rendered as an SVG with styled tick text and axis labels.

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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