Customizing Axes

100%

Customizing Axes

✓ Published0🌍 Public

Last edited Nov 14, 2019

Created on Nov 14, 2019

This bar chart shows the population of the top 10 most populous countries, using data from the 2018 United Nations World Population Prospects estimate. It demonstrates how to customize D3 axes by using `d3.axisBottom` and `d3.axisLeft` to add grid lines, remove the domain, and format tick labels with `d3.format`. The chart also includes custom axis labels and a title, rendered as SVG with margins. Data is loaded from a CSV file via `d3.csv` and scaled with `d3.scaleLinear` and `d3.scaleBand`.

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, based on 2018 estimates from the United Nations World Population Prospects. It demonstrates customizing D3 axes, including formatting tick labels with `d3.format`, adding grid lines via tick sizing, and appending custom axis labels. The chart uses `d3.scaleLinear` and `d3.scaleBand` for positioning, with data loaded from a CSV using `d3.csv`. Left axis ticks are removed to reduce clutter, and the x-axis tick format converts values to billions using an abbreviation.

YYujin Chung

97% match

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. The example demonstrates customizing D3 v5 axes, including removing axis domain lines and tick lines from the y-axis, formatting x-axis tick labels with the `format` function, and adding custom axis labels and a title. Data is loaded from a CSV file and rendered as SVG rect elements, with scales created using `scaleLinear` and `scaleBand`.

PPhilippe Rigovanov

97% match

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 shows how D3 axes can be customized by using `d3.axisLeft` and `d3.axisBottom` with `d3.scaleBand` and `d3.scaleLinear`. The visualization renders in SVG, with styled tick lines and labels, and includes a title and axis label. Data is loaded from a CSV file.

LLittledevil7

96% match

Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. It demonstrates how to customize D3 axes by removing domain lines, adding grid lines via tick sizes, and formatting tick labels with `d3.format`. The visualization uses `d3.scaleLinear` for the x-axis and `d3.scalePoint` for the y-axis, with circles as marks. Data is loaded from a CSV file using `d3.csv`, and the chart is rendered as SVG.

Ccguibourg

96% match

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 shows how D3 axes can be customized, including removing domain lines, adjusting tick sizes, and formatting tick labels with `d3.format` to abbreviate large numbers. The chart uses `d3.csv` to load the data, `d3.scaleLinear` and `d3.scaleBand` for scales, and `d3.axisBottom` and `d3.axisLeft` for axes, all rendered as SVG with a steelblue fill for the bars.

Xxhoumba

96% match

Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries in 2018, using population estimates from the United Nations World Population Prospects 2017. The example shows how to customize axes with D3 v5, including tick formatting, axis labels, and grid lines. It uses `d3.csv`, `scaleLinear`, and `scaleBand` to map data, while `axisBottom` and `axisLeft` render the axes with custom tick formats converting values to abbreviated units. The SVG rendering removes default axis domains and applies styled tick lines via CSS.

Ttmrose

96% match

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 how to customize D3 axes, with styled tick labels, grid lines, and axis labels. Built with D3 v5, the visualization uses `d3.csv` to load data, `scaleLinear` and `scaleBand` for scaling, and `axisLeft` and `axisBottom` for the axes. The SVG rendering includes a title and custom fonts, with data drawn as steelblue rectangles.

Kkestefon

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. It demonstrates how to customize D3 axes by removing domain lines, adjusting tick sizes, and formatting tick labels with `d3.format` to abbreviate large numbers. The chart uses `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis, with custom tick text and label styling applied via CSS. Data is loaded from a CSV file using `d3.csv`.

Nnoelmiranda

96% match