Customizing Axes

100%

Customizing Axes

✓ Published0🌍 Public

Last edited May 21, 2020

Created on May 21, 2020

This visualization displays a bar chart of estimated billionaire populations from 2018 United Nations data, comparing the top 10 countries by wealth. The chart customizes D3 axes by removing default domain lines, using a custom tick format that converts abbreviations like 'G' to 'B', and adding axis labels and a title. It uses d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom from D3 v5, with SVG rendering and CSS styling for tick text, lines, and labels. The margins and inner dimensions are computed to position the chart within a 960×500 SVG canvas.

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 displays the populations of the world’s top billionaires as a horizontal bar chart, using data from a sample CSV with United Nations estimates. It builds on a basic bar chart by customizing both axes: the left y-axis labels are cleaned of tick lines and the domain, while the bottom x-axis uses `scaleLinear` and `axisBottom` with a custom tick format that converts billions to "B". The chart is rendered in SVG using D3 v5, with margins and labels styled via external CSS.

Ddavid-fon

87% match

Loading thumbnail…

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.

Jjulieducasse

85% match

Loading thumbnail…

Customizing Axes

This bar chart visualizes the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects 2017. The visualization demonstrates customized D3 axes: the left axis removes its domain and tick lines, while the bottom axis uses a custom tick format that abbreviates large numbers (converting 'G' to 'B' for billions) and extends tick lines across the chart. The code employs d3.scaleLinear, d3.scaleBand, d3.axisLeft, d3.axisBottom, and d3.format, rendering as SVG with data loaded from a CSV file.

MMatthewJSonnen

84% match

Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. It highlights custom D3 axis styling, including tick formatting that converts values to billions, a horizontal grid, and removal of the default domain lines. The visualization builds on a basic bar chart example, using d3.scaleLinear and d3.scaleBand for scales, with d3.axisBottom and d3.axisLeft for axes. The SVG rendering includes custom font sizes, colors for tick labels, axis labels, and the title, all set via CSS.

LLittledevil7

84% match

Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries using 2018 United Nations estimates, with values scaled per thousand. It demonstrates custom D3 axes, including a formatted bottom axis that abbreviates numbers (e.g., billions as "B") and a left axis with removed domain lines. The SVG rendering uses d3.scaleLinear, d3.scaleBand, axisBottom, and axisLeft, with tick styling and an axis label defined via custom CSS classes.

Iinstant2333

84% match

Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries based on 2018 United Nations estimates, with population values in millions. Customized D3 axes enhance readability: the y-axis removes domain lines and tick marks, while the x-axis uses a custom tick formatter to abbreviate numbers and replaces 'G' with 'B' for billions. The visualization uses d3.scaleBand for countries, d3.scaleLinear for population, and d3.axisBottom and d3.axisLeft for labels, all rendered as an SVG with custom tick styling and axis labels.

Jjesramyep1263

84% match

Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the top 10 most populous countries using 2018 United Nations estimates. The visualization demonstrates customizing D3 axes, including formatted tick labels that abbreviate large numbers and remove axis domain lines. Built with d3.scaleLinear and d3.scaleBand, it uses d3.axisBottom and d3.axisLeft to render the axes, while SVG text elements add axis labels and a title.

Qqazwsxedcrfv12345

84% match

Loading thumbnail…

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 demonstrates customized D3 axes, including formatted tick labels that convert large numbers to abbreviated units, grid lines, and a custom axis label. Built with d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, the chart renders in SVG. The y-axis gridlines are removed, while the x-axis uses a tick format that replaces 'G' with 'B' for billions.

Zzahra929

84% match