Skip to main content
SimilarExport ZIP
100%

Customizing Axes

✓ Published0🌍 Public
KKelvin Yuen
Last edited Sep 20, 2019
Created on Sep 3, 2019
Forked from Create a bar chart

This horizontal bar chart displays the population of the top 10 most populous countries, with countries listed along the y-axis and population values on the x-axis. The chart uses D3 v5 scales, including `scaleLinear` for the x-axis and `scaleBand` for the y-axis, with custom axes created via `axisBottom` and `axisLeft`. The x-axis tick labels are formatted using `format('.3s')` to abbreviate large numbers like billions, while grid lines extend across the plot. Country data comes from a CSV file, and the SVG rendering showcases customized axis labels and styling.

AI-generated description

Reference: https://observablehq.com/@d3/bar-chart

MIT Licensed

Similar vizzes

Loading thumbnail…

Customizing axes

This bar chart displays the top 10 most populous countries, sorted by population, with customized axes for readability. The horizontal axis uses a linear scale with a tick format that abbreviates large numbers (e.g., converting billions with the `format` API), while the vertical axis uses a band scale for country names. The chart is rendered in SVG using d3.v6, loading data from a CSV file, with axes styled via `axisBottom` and `axisLeft`, and grid lines drawn through negative tick sizes.

BbeauMarko
95% match
Loading thumbnail…

Customizing Axes

This bar chart shows the population of the top 10 most populous countries, with horizontal bars sorted by country name. The code uses d3.scaleLinear and d3.scaleBand for positioning, and d3.axisBottom with a custom tick formatter that converts large numbers to abbreviated units like "B" for billions. Axis gridlines extend across the plot area via negative tick sizes, while y-axis ticks and domains are removed for a cleaner look. Data loads from a CSV file and is multiplied by 1000 to reflect actual population figures.

TTsing
95% match
Loading thumbnail…

Customizing Axes

This example displays a horizontal bar chart of the top 10 most populous countries, with population values on the x-axis and country names on the y-axis. The chart uses custom tick formatting to abbreviate large numbers (e.g., converting billions to "B") and removes axis domains and tick lines, replacing them with subtle gridlines. Rendered as SVG, the visualization is built with D3 v5, using `d3.scaleLinear`, `d3.scaleBand`, `d3.axisBottom`, `d3.axisLeft`, and `d3.format`. Data is loaded from a CSV file and parsed into numeric population values.

CClara Hu
94% match
Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries, with a horizontal layout and customized axes. The y-axis removes its domain and tick lines, while the x-axis uses a custom tick format that abbreviates large numbers and replaces 'G' with 'B' for billions. The chart is rendered with SVG using D3 v5, loading population data from a CSV file. The code uses `scaleLinear`, `scaleBand`, `axisBottom`, `axisLeft`, and `format` to create and customize the visualization.

VVeena Muralidharan
94% match
Loading thumbnail…

Customizing Axes

A horizontal bar chart shows the top 10 most populous countries, with population values on the x-axis. The chart customizes the x-axis to format large numbers as billions (e.g., "1.42B") and removes the default axis lines and domain. It uses D3's `scaleLinear`, `scaleBand`, `axisBottom`, `axisLeft`, and `format` to handle scales, ticks, and number formatting. Data is loaded from a CSV file, and the SVG rendering is set up in `index.html` with `styles.css` controlling visual styling.

Zzlastefcia
94% match
Loading thumbnail…

Customizing axes

A horizontal bar chart displays the top 10 most populous countries, with population values formatted in billions using d3.format and custom tick labels. The chart uses d3.scaleBand for the categorical y-axis and d3.scaleLinear for the numeric x-axis, with axisBottom and axisLeft generating grid lines and labels. Bars are rendered as SVG rectangles, and axis labels and titles are added as SVG text elements, styled via external CSS. Data loads from a CSV file using d3.csv.

BbeauMarko
94% match
Loading thumbnail…

Customizing Axes

A horizontal bar chart displays the top 10 most populated countries, with population values scaled in billions and abbreviated tick labels. The chart customizes its axes by removing domain lines and tick marks from the y-axis, while the x-axis uses a custom tick format that converts G (giga) to B (billion). Built with D3 v7, the visualization loads data from a CSV file and renders to SVG, using scales like `scaleLinear` and `scaleBand` alongside `axisLeft` and `axisBottom` to position bars and labels.

Ddaniel
94% match
Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the top 10 most populous countries, with countries listed on the y-axis and population values on the x-axis. The chart uses D3 version 5's `scaleLinear` for the x-axis and `scaleBand` for the y-axis. It customizes the x-axis tick labels to abbreviate numbers (e.g., converting billions to "B") via `format('.3s')` and removes default axis lines. Data is loaded from a CSV file using D3's `csv` function, and the chart is rendered as SVG elements.

SSam Lite
94% match