Skip to main content
SimilarExport ZIP
100%

Customizing Axes (Bar Chart)

✓ Published1🌍 Public
BBendrog
Last edited Feb 11, 2020
Created on Feb 11, 2020

This bar chart displays the population of the top 10 most populous countries, sorted by country name on the y-axis and population on the x-axis. The example uses d3.csv to load the data, d3.scaleLinear and d3.scaleBand for scaling, and d3.axisBottom along with d3.axisLeft for the axes. It customizes the axes by removing the domain lines, adding tick marks that span the chart height, and appending a text label for the x-axis, with tick formatting that converts billions to "B".

AI-generated description

A program that loads and parses some CSV data: CSS Named Colors.

MIT Licensed

Similar vizzes

Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries, with countries on the y-axis and population values on the x-axis. The visualization customizes both axes by removing default domain lines and tick marks, adding custom tick formatting that converts large numbers to abbreviations like "B" for billions, and appending axis labels. It uses d3.csv to load data, d3.scaleLinear and d3.scaleBand for scaling, and d3.axisBottom and d3.axisLeft to generate the axes. Rectangles are drawn in SVG, styled with CSS, and the chart includes a title.

CCaleb
96% match
Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries, using horizontal bars ordered by population. The chart customizes axes by applying a tick format that abbreviates large numbers (converting G to B) and removing domain lines for a cleaner look. Built with d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, it renders to SVG and includes labeled axes and a title.

BBarryC7
96% 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 shows a horizontal bar chart of the top 10 most populous countries, with population values displayed in billions on a custom axis. The code uses d3.csv to load data, d3.scaleLinear and d3.scaleBand for scales, and d3.axisBottom with a custom tick format that abbreviates numbers (e.g., converting "G" to "B"). The left axis hides its domain and tick lines, while a title and axis label are added as SVG text elements.

RRiccardo Pressiani
95% 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
95% match
Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the top 10 most populous countries, using D3.js v5 to render SVG. The chart customizes the x-axis to show abbreviated population values in billions by using D3's `scaleLinear`, `scaleBand`, and `axisBottom` with a tick format that replaces "G" with "B". It also removes default axis lines and tick marks on the y-axis, adds a custom axis label, and applies a title. Population data is loaded from a CSV file.

Rratschke
95% match
Loading thumbnail…

Customizing axes

This example shows a horizontal bar chart of the top 10 most populous countries, using population data loaded from a CSV file. It customizes the axes by removing domain lines and tick lines from the y-axis, while the x-axis uses a custom tick format that abbreviates large numbers (e.g., converting billions to "B") via d3.format. The chart is rendered with SVG using d3.scaleBand for the categorical country labels and d3.scaleLinear for population values. Axis generation relies on d3.axisBottom and d3.axisLeft, with tick size extended across the plot for grid lines, and a title and axis label added as text elements.

AAnita Tse
95% 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
95% match