Skip to main content
SimilarExport ZIP
100%

Customizing Axis

✓ Published1🌍 Public
WWahe3bru
Last edited Feb 5, 2020
Created on Feb 4, 2020
Forked from Bar chart

This bar chart displays the population of the top 10 most populous countries, using horizontal bars ordered by descending values. It customizes the axes by hiding the default axis lines and ticks, applying a tick formatter that abbreviates large numbers (e.g., converting "G" to "B"), and adding custom labels for the x-axis and title. The visualization is built with D3 v5, using `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `format`, with data loaded from a CSV file and rendered as SVG rectangles.

AI-generated description

following FCC youtube channel on D3

MIT Licensed

Similar vizzes

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
95% match
Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries, using a logarithmic-free linear scale for the x-axis and categorical bands for country names. The visualization customizes axes by removing default domain lines and tick marks, applying a tick format that abbreviates large numbers (e.g., "G" for billions) and adding styled axis labels and a title. Built with D3 v5, it uses `scaleLinear`, `scaleBand`, `axisBottom`, `axisLeft`, and `format` APIs, rendering to SVG with data loaded from a CSV file.

NNeepaB
95% match
Loading thumbnail…

Customizing Axis

This bar chart displays the top ten most populous countries, with population values shown on a horizontal axis and country names on a vertical axis. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` for the population scale and `scaleBand` for country categories. Axis customization includes tick formatting via `format('.3s')` that replaces 'G' with 'B' for billions, plus removal of axis domain lines and grid-line styling through `axisBottom` and `axisLeft` calls. Population data from CSV files is converted to absolute numbers by multiplying by 1000.

Nnick-yadav
95% match
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
94% match
Loading thumbnail…

Customizing Axis

This bar chart displays the population of the top 10 most populous countries, using a horizontal layout with steel-blue bars. The axes are customized: the y-axis removes its domain line and tick lines, while the x-axis uses a custom tick formatter via `d3.format` to abbreviate values (e.g., converting “G” to “B”) and includes grid lines extending across the chart. Built with d3.v5 and SVG, the code employs `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom`. Population data is read from a CSV file and multiplied by 1000 to reflect actual counts.

MMateus Farias
94% match
Loading thumbnail…

Customizing Axis

This bar chart displays the population of the top 10 most populous countries, using a horizontal layout with steel-blue bars. The axes are customized: the y-axis removes its domain line and tick lines, while the x-axis uses a custom tick formatter via `d3.format` to abbreviate values (e.g., converting “G” to “B”) and includes grid lines extending across the chart. Built with d3.v5 and SVG, the code employs `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom`. Population data is read from a CSV file and multiplied by 1000 to reflect actual counts.

MMateus Farias
94% match
Loading thumbnail…

Customizing axes

This bar chart shows the populations of the top 10 most populous countries, using a horizontal layout with population on the x-axis and country names on the y-axis. The example demonstrates customizing axes by removing default tick lines, adding a custom tick format that converts G to B, and including custom axis labels. Built with D3 v4, it uses d3.scaleLinear, d3.scaleBand, d3.axisBottom, and d3.axisLeft to render the SVG visualization from a CSV data file.

KKarkG
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