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Customizing Axes

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Jjulieducasse
Last edited Sep 19, 2019
Created on Sep 19, 2019
Forked from Customizing Axes

This bar chart displays the population of the top 10 most populous countries, based on 2018 United Nations estimates. The visualization emphasizes customized axes: the y-axis removes its domain and tick lines, while the x-axis uses a formatted tick label that converts large numbers into abbreviated values like "1.42B" and draws gridlines across the chart. Built with D3 v5, it uses `scaleLinear`, `scaleBand`, `axisBottom`, `axisLeft`, and the `format` function. The chart is rendered as SVG, with data loaded from a CSV file and scaled by thousands.

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, based on 2018 estimates from the United Nations World Population Prospects. It emphasizes customized axes: the y-axis removes domain and tick lines, while the x-axis uses a tick format that abbreviates large numbers (e.g., converting "G" to "B") and includes a custom label. The visualization uses d3.scaleLinear and d3.scaleBand, with d3.axisBottom and d3.axisLeft for rendering. Data is loaded via d3.csv and rendered as SVG rectangles.

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