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customizing axes

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SSnivvy
Last edited May 20, 2020
Created on May 20, 2020
Forked from Making a bar chart

This example demonstrates a horizontal bar chart of the eight most populous countries, with population values formatted in billions using a custom tick formatter that replaces "G" with "B." The chart uses `d3.csv` to load data, `d3.scaleLinear` and `d3.scaleBand` for scaling, and `d3.axisBottom` and `d3.axisLeft` for axes. Grid lines extend from the x-axis ticks, while the y-axis domain line is removed for a cleaner look. The SVG is rendered via React.

AI-generated description

A bare minimum HTML page.

See also React Starter.

MIT Licensed

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Customizing Axes

This example shows a horizontal bar chart of the ten most populous countries, with customized axes and tick formatting. It uses d3.csv to load population data, d3.scaleLinear and d3.scaleBand for scaling, and d3.axisLeft and d3.axisBottom to render axes. The code removes default domain lines, applies a custom tick formatter that abbreviates numbers (converting 'G' to 'B'), and rotates labels via SVG text elements, all rendered with React-compatible D3 v5 in an SVG container.

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This example shows a horizontal bar chart of the top 10 most populous countries, with population values converted from raw numbers to thousands and formatted with abbreviated tick labels (e.g., “1.41B”) using D3’s `format` and `.replace('G','B')`. The chart uses `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis, with custom axis styling applied via CSS classes like `.tick text` and `.axis-label`. Grid lines are created by setting `tickSize(-innerHeight)` on `d3.axisBottom`, while the y-axis’s domain and tick lines are removed. Data comes from a local CSV file, and the SVG rendering is driven by React and D3 v7.

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This example creates a horizontal bar chart of the world's ten most populous countries, using D3.js version 5 with an SVG rendering approach. The bars are scaled linearly by population, with a custom axis formatter that converts values to billions using D3's `format` function and a `.replace('G', 'B')` call. The chart displays a title, an x-axis label, and removes default axis lines using `.remove()`. The data is loaded from a CSV file using `d3.csv`, with population values multiplied by 1000.

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