Skip to main content
SimilarExport ZIP
100%

Customizing Axes

✓ Published0🌍 Public
XXenos Panagiotis
Last edited May 17, 2023
Created on May 15, 2020
Forked from Hello VizHub

This example shows the ten most populous countries as a horizontal bar chart, with each bar colored according to a value in the data and labeled with country names on the left axis. The x-axis is customized to display population values in abbreviated form (e.g., "1.42B") using D3’s `format` function, while grid lines extend across the chart. The code loads a CSV file, scales the data with `scaleLinear` and `scaleBand`, and renders axes with `axisLeft` and `axisBottom`.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Customizing Axes

This example visualizes the ten most populous countries using a horizontal bar chart built with D3 version 6. The chart customizes the x-axis to display population values in billions using a custom tick format, and removes default axis lines for a cleaner look. The code uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` to generate the axes, with data loaded from a CSV file.

SSergio Eijben
95% match
Loading thumbnail…

Customizing Axes

This example displays a horizontal bar chart of the ten most populous countries, with population values in thousands. The chart customizes both axes by removing domain lines, adding grey tick lines for the x-axis, and styling tick labels. Built with D3.js v6, it uses `scaleLinear` and `scaleBand` for scales, `axisBottom` with a custom tick format, and `axisLeft` for the categorical axis. Data is loaded from a CSV file.

Sscarlet shao
95% 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
95% match
Loading thumbnail…

Customizing Axes

This example displays a horizontal bar chart of the ten most populous countries, with population values scaled to thousands. The visualization customizes both axes by removing default domain lines and tick marks, leaving only text labels for clarity. The chart is built with D3 v5, using scaleBand for the categorical country axis, scaleLinear for the population axis, and the axisBottom and axisLeft functions for rendering. Data is loaded from a CSV file and styled with CSS.

MMarrnj2
95% match
Loading thumbnail…

Customizing Axes

This example visualizes the ten most populous countries using a horizontal bar chart, ordered by population. The chart customizes both axes: the y-axis displays country names, while the x-axis formats population values in billions using `d3.format` and a custom tick function. The visualization uses `d3.csv` to load data, `d3.scaleLinear` and `d3.scaleBand` for scaling, and `d3.axisBottom` and `d3.axisLeft` for axes, with grid lines and styled tick marks.

FFahad Bin Emran
95% match
Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart of the ten most populous countries, with population values transformed from thousands to absolute numbers. The chart customizes both axes: the y-axis removes domain lines and tick marks, while the x-axis uses a tick formatter via `d3.format` to abbreviate numbers and replace "G" with "B". The code uses `d3.scaleBand` for the categorical y-axis, `d3.scaleLinear` for the quantitative x-axis, and `d3.axisLeft` and `d3.axisBottom` to render the axes. Data is loaded from a CSV file using `d3.csv`.

Nntds12
95% match
Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart of the ten most populous countries, using a linear scale for population and a band scale for country names. The axes are customized with a filtered y-axis, a formatted x-axis that converts billions to "B", and a title. Built with D3 v5, it loads data from a CSV and renders SVG rectangles, removing domain lines and tick marks for a cleaner look.

DDhaval Potdar
95% match
Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart of the ten most populous countries, with a customized axis layout and formatting. It uses D3 v5 with `csv`, `scaleLinear`, and `scaleBand` to map population values and country names, while `axisBottom` and `axisLeft` render the axes. Axis ticks are formatted with `format(".3s")` to abbreviate numbers, and grid lines are styled via CSS. The SVG is drawn with `select` and appended `rect` elements, and the legend titles are added as text elements.

JJefferson Abreu
95% match