Skip to main content
SimilarExport ZIP
100%

Customizing Axes

✓ Published0🌍 Public
Yylzami40
Last edited Nov 26, 2019
Created on Nov 26, 2019
Forked from Customizing Axes

The chart displays a horizontal bar ranking of the top 10 most populous countries, with population values converted from thousands to raw counts and formatted as abbreviated labels using `format('.3s')`. The visualization uses D3 v5 APIs including `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, rendering as SVG. Data is loaded from a CSV file, with bars styled via CSS and the y-axis gridlines removed.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Customizing Axes

A horizontal bar chart displays the top 10 most populous countries using population data from a CSV file. The chart customizes both axes: a linear x-axis formats population values in billions with a custom tick formatter, while a band y-axis lists country names without domain lines. Built with D3 v5, the visualization uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render SVG rectangles, with hover effects changing bar colors to red.

SSadi Hassan
94% match
Loading thumbnail…

Customizing Axes

This visualization displays a horizontal bar chart ranking the top 10 countries by population, using a custom-tuned axis to improve readability. The code uses d3.scaleLinear for the x-axis, d3.scaleBand for the y-axis, and d3.axisBottom with a custom tick formatter that converts large numbers into abbreviated units like "B" for billions. Data loads from a CSV file via d3.csv, with population values multiplied by 1000. The chart also includes gridlines, a title, and styled sans-serif text.

Nnkrpyate
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 using data from a CSV file. It maps population to bar width with a linear scale and country names to bar height using a band scale. The axes are customized with d3.axisBottom and d3.axisLeft; tick lines are removed, grid lines are added, and population values are formatted with d3.format to abbreviate billions as "B". The visualization is rendered as SVG with D3 v6.

WWayne716
94% match
Loading thumbnail…

Customizing Axes

This example visualizes the top 10 most populous countries as a horizontal bar chart, using population values loaded from a CSV file. The axes are heavily customized: the y-axis removes its domain line and tick marks, while the x-axis applies a custom tick format that abbreviates numbers (e.g., converting billions to "B") and draws full-width grid lines. Both axes and the chart title use large sans-serif fonts with muted gray fills. The code relies on D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `format`.

VVijay
94% match
Loading thumbnail…

Customizing Axes

A bar chart displays the top ten most populous countries, with population values on a linear scale and country names on a point scale. Customized axes show gridlines extending across the plot, remove the default domain lines, and format population numbers using `format('.3s')` to abbreviate values like billions. The chart uses d3.scaleLinear, d3.scalePoint, d3.axisBottom, and d3.axisLeft in SVG. Data comes from a CSV file, processed with d3.csv, and rendered with circles instead of bars.

Lliechtia
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