Customizing Axes

100%

Customizing Axes

✓ Published0🌍 Public

Last edited May 7, 2020

Created on May 7, 2020

This bar chart displays the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. The visualization customizes D3 v5 axes by removing domain lines, adding gridlines through tick sizing, and reformatting tick labels with `d3.format('.3s')` to abbreviate large numbers as billions. The code uses `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the population axis, with a left margin accommodating country names and an axis label below the x-axis. Custom CSS styles the tick text, gridlines, title, and axis labels.

AI-generated description

This bar chart shows population of the top 10 most populous countries. The data comes from the year 2018 estimate in United Nations: World Population Prospects 2017. It also demonstrates customization of D3 axes.

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 bar chart displays the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. It demonstrates customization of D3 axes, including removal of default domain lines, custom tick formatting with `format('.3s')`, and grid lines created via `tickSize`. The visualization uses `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis, with SVG rendering. Labels for the title and axis are added as text elements.

Ssophburke

97% match

Loading thumbnail…

Customizing Axes

This example displays a bar chart of the top 10 most populous countries in 2018, using data from the United Nations World Population Prospects. The chart customizes D3 axes by removing default domain lines and tick lines, applying a custom tick format that converts G to B for billions, and styling tick labels, axis labels, and the title via CSS. It uses `d3.scaleLinear` and `d3.scaleBand` to map population and country names, with `d3.axisBottom` and `d3.axisLeft` to render the axes.

TTouha Zohair

96% match

Loading thumbnail…

Customizing Axes

This bar chart shows the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization demonstrates customization of D3 axes by removing domain lines, styling tick lines and labels with pink and hot pink colors, and formatting population values using `d3.format('.3s')` with a custom replacement that converts 'G' to 'B'. The code uses `d3.csv`, `d3.scaleLinear`, `d3.scaleBand`, `d3.axisBottom`, and `d3.axisLeft` with an SVG rendering approach.

Ggrandbleu916

96% match

Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization customizes D3 axes by removing default domain lines, adding grid lines via tick sizes, and formatting population values with `d3.format` to abbreviate numbers (e.g., converting G to B). It uses `d3.scaleLinear` for the x-axis, `d3.scalePoint` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` to render the customized axes in SVG.

AAlain Jennotte

96% match

Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. It demonstrates customization of D3 axes, including abbreviated tick labels using `d3.format`, horizontal grid lines via `tickSize`, and removal of axis domains and tick lines. The chart uses `d3.scaleLinear` and `d3.scaleBand` for positioning, with SVG rendering and custom labels for the title and x-axis.

VVadim Jouk

96% match

Loading thumbnail…

Customizing Axes

This bar chart shows the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization highlights customized D3 axes, including a horizontal axis formatted with abbreviated numbers (using `d3.format` to convert millions and billions) and a vertical axis with large tick labels. Using D3 v5, the code employs `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft`, while rendering as SVG. Grid lines extend across the chart, and the axis labels and title are styled via CSS for clarity.

MMartin Lauf

96% match

Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. The visualization customizes D3 axes by removing default domain lines, adding gridlines through tick marks, and formatting population labels with D3’s `format` function. It uses `d3.scaleLinear` and `d3.scaleBand` for scaling, with `d3.axisLeft` and `d3.axisBottom` for the axes. The SVG rendering includes custom labels for the title and x-axis, styled via external CSS.

MMunTatt Yap

96% match

Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects, with population values in thousands. The visualization demonstrates custom axis styling in D3 v5, including tick formatting that abbreviates large numbers with suffixes like "B" for billions, rotated tick labels, and removed axis domain lines. The chart uses `scaleLinear` for the population axis and `scaleBand` for countries, with `axisBottom` and `axisLeft` for the axes. The code also adds custom titles and axis labels, while styling ticks, lines, and text through CSS.

CCornelia

96% match