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Customizing Axes

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TTolldvis
Last edited May 7, 2019
Created on May 7, 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 builds on a basic bar chart by customizing the axes: the y-axis labels are kept while the domain and tick lines are removed, and the x-axis uses a linear scale with a custom tick format function, though currently it renders raw numbers. The chart employs `d3.scaleLinear`, `d3.scaleBand`, `d3.axisBottom`, and `d3.axisLeft`, with an SVG rendering, and includes styled tick text, axis labels, and a title via CSS.

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 population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It builds on a basic bar chart by customizing the axes: the y-axis labels are kept while the domain and tick lines are removed, and the x-axis uses a linear scale with a custom tick format function, though currently it renders raw numbers. The chart employs `d3.scaleLinear`, `d3.scaleBand`, `d3.axisBottom`, and `d3.axisLeft`, with an SVG rendering, and includes styled tick text, axis labels, and a title via CSS.

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