Skip to main content
SimilarExport ZIP
100%

Customizing Axes

✓ Published0🌍 Public
Eexcalibur1987
Last edited Sep 25, 2019
Created on Sep 25, 2019
Forked from Customizing Axes

This example displays a bar chart of the top 10 most populous countries in 2018, using data from the United Nations World Population Prospects. It visualizes population values with horizontal bars and customizes the axes: the y-axis labels are kept, while grid lines are removed, and the x-axis uses a `format('.3s')` tick formatter to abbreviate numbers (with 'G' replaced by 'B' for billions). Built with D3 v5, it uses `scaleBand`, `scaleLinear`, `axisLeft`, and `axisBottom`, rendering SVG elements directly within a pre-sized `<svg>` container.

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

Similar vizzes

Loading thumbnail…

Customizing Axes

This example shows a bar chart of the top 10 most populous countries, using 2018 population estimates from the United Nations World Population Prospects. The chart customizes both axes: the y-axis removes the domain line and tick lines, while the x-axis applies a custom tick format that abbreviates large numbers using the `d3.format` function, replacing 'G' with 'B'. Built with d3.v5, it uses `scaleLinear` and `scaleBand` for positioning, with `axisBottom`, `axisLeft`, and SVG rendering to display the data.

AAveryBurke
97% match
Loading thumbnail…

Customizing Axes

This example displays a bar chart of the top 10 most populous countries in 2018, using population estimates from the United Nations World Population Prospects. It builds on the basic bar chart by customizing D3 axes, removing the default domain lines and tick marks, and reducing y-axis clutter. The x-axis uses a custom tick format to abbreviate large numbers (e.g., “1.4B”), and both axis labels and the title are styled via CSS. The implementation uses D3 v5's `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` APIs with an SVG rendering.

NNita
97% match
Loading thumbnail…

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.

Uucsclk
97% match
Loading thumbnail…

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.

Uucsclk
97% match
Loading thumbnail…

Customizing Axes

This example displays a bar chart of the top 10 most populous countries in 2018, using data from the United Nations World Population Prospects. The chart customizes D3 axes by removing default domain lines and tick lines, applying a custom tick format that converts G to B for billions, and styling tick labels, axis labels, and the title via CSS. It uses `d3.scaleLinear` and `d3.scaleBand` to map population and country names, with `d3.axisBottom` and `d3.axisLeft` to render the axes.

TTouha Zohair
97% match
Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart of the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects. The visualization highlights custom axis styling, removing default domain lines and tick lines on the y-axis while adding grid lines and a formatted x-axis that converts values from billions to a "B" suffix. The code uses D3.js v5, scaling data with `scaleLinear` and `scaleBand`, and configures axes via `axisBottom`, `axisLeft`, and `.tickFormat`. Custom fonts, colors, and labels are applied through CSS, with SVG rendering for the output.

Ttkreglhn
96% match
Loading thumbnail…

Customizing axes

This example shows a horizontal bar chart of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The chart customizes both axes by removing default domain lines and tick lines, and formats population labels to abbreviate numbers with a "B" suffix. Built with d3.v5, it uses `d3.scaleLinear`, `d3.scaleBand`, and `d3.axisBottom`/`d3.axisLeft` to render the SVG, with tick lines extended across the plot area and a custom axis label.

YYF
96% match
Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart 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 D3 axes, removing default tick lines, and reformatting population values with abbreviations like "B" for billions. The code uses D3 v5 APIs such as `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft`, rendering to SVG. Population data is loaded from a CSV file and multiplied by 1000 to reflect actual values.

Eedishin
96% match