Skip to main content
SimilarExport ZIP
100%

Customizing Axes

✓ Published0🌍 Public
Bbart
Last edited Jul 30, 2019
Created on Jul 30, 2019
Forked from Customizing Axes

This example displays the top 10 most populous countries in 2018, based on United Nations data, using a circle-based bar chart. It highlights axis customization through D3 v5’s `axisLeft` and `axisBottom` scales, with a linear scale for population and a point scale for country names. The SVG rendering includes custom tick sizes, removed domain lines, and styled text, while the data is loaded from a CSV file.

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 the top 10 most populous countries using a bar chart based on 2018 United Nations population estimates. It customizes D3 v5 axes by using `d3.axisLeft` and `d3.axisBottom` with tick formatting via `d3.format`, removing the domain line, adjusting tick padding, and adding grid lines. The SVG rendering also modifies tick labels to display alternating country names and applies custom CSS styling.

RRudi Poepsel Lemaitre
96% match
Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries using 2018 United Nations estimates, with circles sized by population and custom axis styling. It demonstrates D3 v5 axis customization, including tick formatting that converts values like 'G' to 'B' for billions, rotated tick labels, and gridlines extending across the plot. The code uses `d3.csv`, `scaleLinear`, `scalePoint`, `axisBottom`, `axisLeft`, and `format` to render an SVG, with margins and labels styled via CSS.

JJMason88
95% match
Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries using 2018 United Nations population estimates. It highlights how D3 axes can be customized, including tick formatting, offset tick lines, and the removal of axis domains. The chart uses `d3.csv`, `scaleLinear`, `scalePoint`, `axisBottom`, `axisLeft`, and `format`, with population values multiplied by 1,000 and formatted in billions. Circles mark each country, and the axes include labeled ticks and a title, all rendered as SVG elements.

MMarrnj2
95% match
Loading thumbnail…

Customizing Axes

This example displays a bar chart of the top 10 most populous countries in 2018, based on United Nations data. It highlights customized D3 axes, including a formatted x-axis using `format('.3s')` to abbreviate population values and gridlines via `tickSize`. The y-axis removes its domain and tick lines for a cleaner look, while axis labels and a title are added using SVG text elements. The code uses `d3.csv`, `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to build the visualization.

Mmoonstorm86
95% match
Loading thumbnail…

Customizing Axes

This example displays a bar chart of the top 10 most populous countries, using 2018 population estimates from the United Nations World Population Prospects. The chart highlights custom axis formatting and styling, including a tick format that converts large numbers (e.g., G to B) and the removal of default axis lines. Built with D3 v5, it uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to position bars and axes within an SVG canvas. A CSV file supplies the data, and CSS styles the text and tick marks.

DDaniel Piqué
95% 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 demonstrates customizing D3 v5 axes, including removing axis domain lines and tick lines from the y-axis, formatting x-axis tick labels with the `format` function, and adding custom axis labels and a title. Data is loaded from a CSV file and rendered as SVG rect elements, with scales created using `scaleLinear` and `scaleBand`.

PPhilippe Rigovanov
95% match
Loading thumbnail…

Customizing Axes

This example displays a bar chart of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. It demonstrates customizing D3 v5 axes, including a bottom axis with formatted tick labels that abbreviate population numbers and remove the domain line, a left axis stripped of its domain and ticks, and custom axis labels. The chart uses `d3.scaleLinear`, `d3.scaleBand`, `d3.axisBottom`, and `d3.axisLeft` to render the SVG visualization.

CCurran Kelleher
94% match
Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries in 2018, using population estimates from the United Nations World Population Prospects 2017. The example shows how to customize axes with D3 v5, including tick formatting, axis labels, and grid lines. It uses `d3.csv`, `scaleLinear`, and `scaleBand` to map data, while `axisBottom` and `axisLeft` render the axes with custom tick formats converting values to abbreviated units. The SVG rendering removes default axis domains and applies styled tick lines via CSS.

Ttmrose
94% match