Customizing Axes

100%

Customizing Axes

✓ Published0🌍 Public

Last edited Oct 9, 2019

Created on Oct 9, 2019

This bar chart displays the populations of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. It demonstrates how to customize D3 axes by removing domain lines and tick borders, adding custom tick labels and axis titles, and styling tick text with CSS. The chart uses `d3.scaleLinear` and `d3.scaleBand` to map population and country names, with D3’s `axisBottom` and `axisLeft` methods generating the axes and tick marks.

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 bar chart displays the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. It shows how to customize D3 axes by removing default domain lines and tick marks, adding custom axis labels and a title, and formatting tick values using the `format` API to abbreviate large numbers (e.g., converting billions to “B”). The chart uses `scaleLinear` and `scaleBand` for positioning, with `axisBottom` and `axisLeft` for rendering.

Ttonestar

97% 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. The example focuses on customizing D3 axes, removing default domain lines and adding custom tick styling, axis labels, and a title. It uses `d3.scaleLinear` for the population axis and `d3.scaleBand` for countries, with `d3.axisBottom` and `d3.axisLeft` for rendering. The SVG output is styled via CSS, with tick lines in gray and large, muted text for readability.

Mmi-jjang

97% match

Loading thumbnail…

Customizing Axes

This bar chart shows the populations of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It customizes D3 v5 axes by removing domain lines, styling tick marks, and formatting population values with a `.3s` tick format that converts billions into “B”. The chart uses `d3.scaleLinear` and `d3.scaleBand` for scales, with `d3.axisLeft` and `d3.axisBottom` for rendering axes in SVG.

Ttonestar

96% 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 how to customize D3 axes by removing the y-axis domain line, adding grid lines with a custom tick size, and formatting x-axis tick labels to abbreviate values in billions. The chart uses D3 v5’s `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` APIs, rendering to SVG with custom styling for ticks, labels, and the title.

Sshadowromeo

96% match

Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the top 10 most populous countries, using data from the 2018 United Nations World Population Prospects. It shows how D3 axes can be customized, including tick formatting that converts values to billions, tick lines that extend across the chart, and the removal of axis domains. The chart uses `d3.scaleLinear` and `d3.scaleBand` for scales, with axes created via `d3.axisBottom` and `d3.axisLeft`, and renders as SVG.

Qqazwsxedcrfv12345

96% match

Loading thumbnail…

Customizing Axes

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 demonstrates customization of D3 axes, including abbreviated tick labels using `d3.format`, horizontal grid lines via `tickSize`, and removal of axis domains and tick lines. The chart uses `d3.scaleLinear` and `d3.scaleBand` for positioning, with SVG rendering and custom labels for the title and x-axis.

VVadim Jouk

96% match

Loading thumbnail…

Customizing Axes

This bar chart shows the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. It demonstrates how to customize D3 axes, including removing the y-axis domain and tick lines, formatting x-axis tick labels with `d3.format` to abbreviate numbers, and adding axis labels and a title. The chart uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` to generate the axes, rendered as SVG.

Xxiaopangzi2333

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. 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

96% match