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Customizing Axes

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Ssppcmccoy
Last edited May 14, 2019
Created on May 14, 2019
Forked from Customizing Axes

This bar chart shows the populations of the ten most populous countries in 2018, with data sourced from the United Nations World Population Prospects. It illustrates how to customize D3 axes by removing domain lines, styling tick marks and labels, and adding axis titles. The code uses `d3.csv`, `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG, including a custom tick format that abbreviates large numbers into billions.

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 shows the populations of the ten most populous countries in 2018, with data sourced from the United Nations World Population Prospects. It illustrates how to customize D3 axes by removing domain lines, styling tick marks and labels, and adding axis titles. The code uses `d3.csv`, `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG, including a custom tick format that abbreviates large numbers into billions.

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