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Customizing Axes

✓ Published1🌍 Public
Yyejichun@naver.com
Last edited Jul 26, 2021
Created on Jul 26, 2021
Forked from Making a Bar Chart

This example presents a horizontal bar chart of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The visualization highlights customized axes, including a band scale for country names on the y-axis and a linear scale for population on the x-axis. The code uses D3 v7 APIs such as `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft`, with the x-axis labels formatted using `format('.3s')` to abbreviate large numbers. SVG rendering is used to draw the bars, with a title and axis label included.

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.

MIT Licensed

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Customizing Axes

This example displays a bar chart of the top 10 most populous countries using 2018 data from the United Nations World Population Prospects, presented as horizontal bars with population values on the x-axis. It demonstrates customized axes in D3.js: the x-axis uses a linear scale with tick labels formatted in abbreviated units (e.g., “B” for billions), while the y-axis is a band scale for country names, with grid lines and axis labels styled via CSS. The code uses d3.csv, scaleLinear, scaleBand, axisBottom, and axisLeft to render the SVG chart.

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