Customizing Axes

100%

Customizing Axes

✓ Published0🌍 Public

Last edited Jul 19, 2020

Created on Jul 19, 2020

This example displays a horizontal bar chart of population figures for prefectures in East Japan, with each bar’s length proportional to the population value. It customizes both axes: the y-axis removes its line and tick marks for a cleaner look, while the x-axis uses `d3.axisBottom` with a `.2s` tick formatter (e.g., “13.7M”) and spans the full chart height via negative tick sizes. The chart is rendered with D3 v5, loading data from a CSV, and uses `scaleLinear` and `scaleBand` for positioning.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart of population counts for East Japan’s most populous prefectures, with custom-styled axes for readability. It loads CSV data using `d3.csv`, scales populations with `d3.scaleLinear` and prefectures with `d3.scaleBand`, and renders bars as SVG `rect` elements. The axes are built with `d3.axisLeft` and `d3.axisBottom`, using `d3.format` for compact number labels and custom tick sizes and gridlines. Axis labels and titles are added manually, with the default domain lines removed for a cleaner design.

Ddaigokawabe

94% match

Loading thumbnail…

customizing axis

This example shows a horizontal bar chart of population by country, with a customized x-axis that reformats large numeric values from scientific notation to abbreviated text (e.g., "1.44B" instead of "1.44G"). Using D3 v7, it loads data from a CSV file and maps population to a linear scale and country names to a band scale for the bars. The axes are generated with `axisLeft` and `axisBottom`, while the tick formatter uses `d3.format` with string replacement. Bars are drawn as SVG rectangles with heights derived from `yScale.bandwidth()`.

AAkash

86% match

Loading thumbnail…

Customizing Axes

This example demonstrates a horizontal bar chart of the top 10 most populous countries, using a custom-styled axis to improve readability. The chart maps population values to bar lengths and country names to vertical bands, with the x-axis formatted in compact notation (e.g., “1.41B”) via `d3.format`. The bar chart is rendered in SVG using D3 v6, with `d3.scaleLinear` for the x-scale and `d3.scaleBand` for the y-scale. Both axes are customized by removing default domain lines and adding tick marks that extend across the plot. Population data is loaded from a CSV file and multiplied by 1000 before rendering.

GGordon Yang

86% match

Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart of national populations, with country names on the y-axis and population counts on the x-axis. The chart uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct a clean, margin-based SVG layout. Population values from the CSV are parsed and multiplied by 1000, and bars are rendered as `rect` elements with a steelblue fill.

AAnthony Lee

86% match

Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart of population figures for nine countries, with a customized x-axis that uses abbreviated tick labels (e.g., “1.50M”). The chart is rendered as SVG using D3 v5, with data loaded from a local CSV file. The code employs `d3.csv`, `d3.scaleLinear`, `d3.scaleBand`, `d3.axisBottom`, `d3.axisLeft`, and `d3.format` to position bars and axes. The y-axis lists country names, while the x-axis range is set from zero to the maximum population value.

LLonwabo11

86% match

Loading thumbnail…

Customising Axes

This example shows a horizontal bar chart ranking the world’s most populous countries, with custom styling for both axes. The chart uses D3’s `scaleBand` and `scaleLinear` to map country names and population values to screen coordinates, while `axisBottom` and `axisLeft` produce the ticks and grid lines. The y-axis’s default domain and tick lines are removed, and the x-axis labels are formatted using `format('.3s')` to abbreviate large numbers (e.g., converting G to B). The bars themselves are purple SVG rectangles, and the data comes from a CSV file listing population figures.

Yyktan89

85% match

Loading thumbnail…

Customizing Axes

This example demonstrates how to customize the axes of a bar chart to display the populations of several countries, with a custom tick formatter that abbreviates large numbers (e.g., converting "1.23G" to "1.23B"). The chart uses D3 v5 with `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisLeft` and `d3.axisBottom` to render the axes, with gridlines and styled tick labels. Data is loaded from a CSV file via `d3.csv`, and the visualization is rendered as SVG elements.

Llanzosuarez

85% 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

85% match