Customizing Axes

100%

Customizing Axes

✓ Published1🌍 Public

Last edited May 7, 2019

Created on May 7, 2019

This example shows a horizontal bar chart of the ten best places to visit in the United States, with population values representing distance from Boston in miles. The chart customizes its axes by removing domain lines and tick lines from the y-axis, adding horizontal gridlines via negative tick sizes, and formatting tick labels with `d3.format`. It uses `d3.scaleLinear` and `d3.scaleBand` for positioning, `d3.axisLeft` and `d3.axisBottom` for axes, and renders as SVG with data from a CSV file.

AI-generated description

Based on information from https://www.planetware.com/usa/best-places-to-visit-in-the-united-states-us-ny-21.htm and https://www.distance-cities.com/.

See also the first bar chart visualization that this one builds on: Making a Bar Chart.

MIT Licensed

Similar vizzes

Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart of the ten best places to visit in the U.S., with each bar’s length representing population data sourced from a CSV file. The visualization highlights custom axis styling: the y-axis is stripped of its domain line and tick marks, while the x-axis uses formatted tick labels and a custom title. Built with D3 v5, it uses `scaleBand` and `scaleLinear` for positioning, `axisBottom` with `tickFormat` for the x-axis, and SVG rendering with explicit margin transforms for layout.

UUsbaldoFraire

93% 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

87% 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

87% match

Loading thumbnail…

Customizing axes

This example shows a horizontal bar chart of the top 10 most populous countries, with population values displayed along the x-axis and country names on the y-axis. It customizes axis elements by removing domain lines, using abbreviated tick labels that convert "G" to "B" via `format('.3s')`, and adding a rotated axis title. The chart is built with D3 v5, using `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, rendering to SVG from a CSV file. Grid lines are created through `tickSize(-innerHeight)`, and the y-axis’s domain and tick lines are removed.

HHasideluxe

87% match

Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart of the top 10 most populous countries, using a linear scale for population and a band scale for country names. The y-axis labels are enlarged, while the x-axis applies a custom tick formatter that converts values into abbreviated units (e.g., "1.42B"). The chart uses `d3.csv` to load data, `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom` with SVG rendering. The axis domain lines are removed, and tick marks extend across the plot area.

Jjblaskovich

86% 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

86% match

Loading thumbnail…

Customizaing Axes

This example displays a horizontal bar chart of the top 10 most populous countries, using a D3 v5 SVG rendering. The chart shows population values on a linear x-axis with custom tick formatting that abbreviates large numbers (e.g., converting billions to 'B'), while the categorical y-axis lists country names. The code uses D3's `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the scales and axes. It removes default domain lines and tick lines, and adds custom axis labels and a title. Data is loaded from a CSV file and multiplied by 1,000.

Nnkohdatavis

86% match

Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart of the top 10 most populous countries, with axes customized to improve readability. The chart uses D3 v5’s `scaleLinear` and `scaleBand` to map population and country names, while `axisBottom` and `axisLeft` generate the axes. The x-axis tick labels are reformatted from scientific notation (e.g., “1.4G”) to a clearer “B” suffix using D3’s `format` with string replacement, and grid lines extend across the plot area. The y-axis labels and domain line are removed, and data comes from a local CSV file loaded via `d3.csv`.

OOhayouKaminari

86% match