Skip to main content
SimilarExport ZIP
100%

Customizing Axes

✓ Published2🌍 Public
Nnkrpyate
Last edited Mar 9, 2020
Created on Mar 2, 2020
Forked from 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.

AI-generated description
MIT Licensed

Similar vizzes

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 Axis

This visualization displays the top 10 most populous countries as horizontal bars, with population values on the x-axis and country names on the y-axis. It uses d3.csv to load data from a CSV file, then d3.scaleLinear and d3.scaleBand to map values and categories. The axes are customized using d3.axisBottom and d3.axisLeft, with tick labels formatted via d3.format to abbreviate large numbers (e.g., “1.41B”). Bar rectangles are appended to an SVG group with margins applied, and gridlines are created by negative tick sizes on the x-axis.

KKaleb LaBarrie
94% match
Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart ranking the top 10 most populous countries, with population values scaled and formatted in billions. It demonstrates customized axes: the y-axis removes its domain and tick lines, while the x-axis uses a tick format that abbreviates numbers (e.g., converting "G" to "B") and includes a translated label. The code uses d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, rendering SVG rectangles with a steelblue fill. Data comes from a local data.csv file, processed by multiplying population values by 1,000.

Sshungshung
94% 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 visualization displays a horizontal bar chart of the top 10 most populous countries in the world, using a linear scale for population and a band scale for country names. The chart customizes the x-axis tick format to show values in billions by using D3's `format` function and replacing 'G' with 'B', while removing the y-axis domain and tick lines for a cleaner look. Data is loaded from a CSV file, with population values multiplied by 1000, and rendered as blue rectangles using D3 v5's scale functions and SVG.

LLonwabo11
94% match
Loading thumbnail…

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.

Yylzami40
94% match
Loading thumbnail…

Customizing Axes

This visualization displays the population of the top 10 most populous countries as a horizontal bar chart, using D3 v5 with an SVG rendering. It customizes both axes by removing default domain lines, applying a tick format that converts values to abbreviations like "B" for billions, and adding a custom axis label. The chart uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis categories, and `d3.axisLeft` and `d3.axisBottom` to render ticks. Data is loaded from a CSV file, with population values scaled by 1000.

Ppengpenghub
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