Customizing Axes

100%

Customizing Axes

✓ Published1🌍 Public

Last edited Apr 15, 2019

Created on Apr 15, 2019

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.

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

Similar vizzes

Loading thumbnail…

Customizing Axes

This example displays a horizontal bar chart of the top 10 most populous countries, using 2018 population estimates from the United Nations World Population Prospects. It demonstrates customized D3 axes by removing default domain lines, adding axis labels with large fonts, and applying tick formatting. The code uses d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, with SVG rendering. Axes are manually styled via CSS classes, and the x-axis ticks are sized to span the chart height.

Kkesmith21

97% match

Loading thumbnail…

Customizing Axes

This example displays a horizontal bar chart of the top 10 most populous countries, using 2018 population estimates from the United Nations World Population Prospects. The visualization customizes D3 axes by removing the y-axis domain line and tick lines, formatting x-axis tick labels from billions to abbreviated values using `d3.format`, and adding a custom axis label. It uses `d3.scaleBand` and `d3.scaleLinear` with SVG rendering. The chart builds on a previous bar chart tutorial, demonstrating additional axis styling and layout adjustments.

Aayushcha

97% match

Loading thumbnail…

Customizing Axes

This example presents a horizontal bar chart ranking the top 10 most populous countries (from a 2018 UN World Population Prospects estimate) by their population. The visualization stands out through its custom axes: the y-axis strips away default domain lines and tick lines, while the x-axis uses a custom tick format (d3.format('.2s')) and extends grid lines across the plotting area. Built with d3.v5, the code uses `scaleLinear` and `scaleBand` to map data to coordinates, `axisLeft` and `axisBottom` to generate axes, and SVG for rendering, with extensive styling applied via CSS.

AAna

97% match

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 visualization demonstrates customized D3 axes, including a bottom axis with tick labels formatted in abbreviated units (converting "G" to "B") and tick lines spanning the full chart height, while the left axis removes its domain and tick lines entirely. The chart is rendered as SVG using D3 v5, with scales from `d3.scaleLinear` and `d3.scaleBand`, and axes from `d3.axisBottom` and `d3.axisLeft`. Labels are styled via external CSS.

Ttracy3057

96% 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. 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.

Eexcalibur1987

96% 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

96% match

Loading thumbnail…

Customizing Axes

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.

Yyejichun@naver.com

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