Skip to main content
SimilarExport ZIP
100%

Fork of Customizing Axes

✓ Published1🌍 Public
Jjim25522532
Last edited May 3, 2021
Created on May 3, 2021
Forked from Customizing Axes

This bar chart displays the top 10 most populous countries based on 2018 estimates from the United Nations World Population Prospects, with population values scaled in thousands. The visualization showcases customized D3 v5 axes: the y-axis uses `scaleBand` for country labels, while the x-axis employs `scaleLinear` with a tick formatter that converts millions to billions. The code uses `axisLeft` and `axisBottom` to render axes, removes default domain lines, and adds custom axis labels and a title via SVG text elements.

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…

Fork of Customizing Axes

This bar chart displays the top 10 most populous countries based on 2018 estimates from the United Nations World Population Prospects, with population values multiplied by 1,000. The visualization demonstrates customized D3 axes in an SVG rendering, using `d3.scaleLinear` for population and `d3.scaleBand` for countries. The code employs `d3.axisBottom` with tick formatting that converts large numbers (e.g., G to B) and `d3.axisLeft` with grid lines, while styling axis labels, tick lines, and title text through CSS.

Aall-over-yet
97% match
Loading thumbnail…

Fork of Customizing Axes

This bar chart displays the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects. The visualization demonstrates customized D3 axes, with horizontal gridlines and formatted tick labels that abbreviate large numbers (e.g., converting billions to "B"). Built with D3 v5, the code uses `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG elements, loading data from a CSV file. The chart also includes a title and axis label with custom styling.

NNithish John Paull
96% match
Loading thumbnail…

Fork of Customizing Axes

This bar chart visualizes the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. Horizontal bars represent each country’s population, with a custom-styled axis and a labeled title. Built with D3 v5, the code uses `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisBottom` with a tick formatter that converts values to billions. The SVG rendering applies custom fonts, gridlines, and axis labels via CSS.

CCharlie Smith
96% match
Loading thumbnail…

Fork of 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 visualization demonstrates axis customization, removing default axis lines and tick marks while styling remaining elements. Built with D3 v5, it uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs. The chart formats population values with a custom tick formatter that converts large numbers to abbreviated strings, and renders data as SVG rectangles with a steelblue fill.

Ddankvader1
96% match
Loading thumbnail…

Fork of 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 domain lines, styling tick marks and labels, and adding a custom x-axis label and title. Using D3’s `scaleLinear` and `scaleBand`, the chart maps population values to bar widths and country names to vertical positions, with axis tick labels formatted using `format('.3s')` and converted from billions to a shorter notation. The SVG rendering includes styled grid lines and text elements via CSS.

Ddok0086m
96% match
Loading thumbnail…

Fork of 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 domain lines, styling tick marks and labels, and adding a custom x-axis label and title. Using D3’s `scaleLinear` and `scaleBand`, the chart maps population values to bar widths and country names to vertical positions, with axis tick labels formatted using `format('.3s')` and converted from billions to a shorter notation. The SVG rendering includes styled grid lines and text elements via CSS.

Ddok0086m
96% match
Loading thumbnail…

Fork of Customizing Axes

This bar chart shows the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization demonstrates customized D3 axes, using scaleLinear and scaleBand to map data. The code applies axisBottom and axisLeft with custom tick formats and removes grid lines for a cleaner look, while styling text and rectangles via CSS.

VVighnesh Gawad
96% match
Loading thumbnail…

Fork of Customizing Axes

This bar chart visualizes the populations of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It demonstrates customized D3 axes, with a linear x-axis for population and a band y-axis for country names. The code employs d3.csv, scaleLinear, scaleBand, axisBottom, axisLeft, and format to render an SVG, simplifying tick labels like “B” for billions and removing unnecessary axis lines.

Bblackbirdsinging
96% match