Skip to main content
SimilarExport ZIP
100%

Customizing Axes

✓ Published0🌍 Public
BBraja Gopal Das
Last edited May 10, 2019
Created on May 10, 2019
Forked from Customizing Axes

This bar chart displays the top 10 most populous countries based on 2018 United Nations population estimates, with population values multiplied by 1000. It emphasizes customizing D3 axes: the y-axis removes its domain and tick lines, while the x-axis uses a linear scale with custom tick formatting that removes gridlines and adds a labeled axis. Built with d3 v5, it uses scaleLinear, scaleBand, axisLeft, and axisBottom, rendered as SVG with a steel blue fill for bars.

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 top 10 most populous countries based on 2018 United Nations estimates, with population values scaled in thousands. It demonstrates customized D3 axes: the y-axis removes all tick lines and domain, while the x-axis uses a custom tick format that abbreviates large numbers with suffix letters (e.g., converting 'G' to 'B' for billions). The chart is built using D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft`, rendering as SVG.

LLittledevil7
98% match
Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries based on 2018 United Nations estimates, with population values in millions. Customized D3 axes enhance readability: the y-axis removes domain lines and tick marks, while the x-axis uses a custom tick formatter to abbreviate numbers and replaces 'G' with 'B' for billions. The visualization uses d3.scaleBand for countries, d3.scaleLinear for population, and d3.axisBottom and d3.axisLeft for labels, all rendered as an SVG with custom tick styling and axis labels.

Jjesramyep1263
97% match
Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries based on 2018 United Nations estimates, using population values multiplied by 1000. The visualization emphasizes customized axes: the left axis removes domain and tick lines, while the bottom axis uses a tick format that converts gigabytes to billions. Built with D3 v5, it employs `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render the SVG chart, with styled tick text, axis labels, and a title defined in CSS.

EErichOh
97% match
Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries based on 2018 United Nations estimates, using population values multiplied by 1000. The visualization emphasizes customized axes: the left axis removes domain and tick lines, while the bottom axis uses a tick format that converts gigabytes to billions. Built with D3 v5, it employs `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render the SVG chart, with styled tick text, axis labels, and a title defined in CSS.

EErichOh
97% match
Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries in 2018, based on United Nations data, with population values scaled to thousands. It demonstrates customized D3 axes: the y-axis removes domain and tick lines for a cleaner look, while the x-axis uses tick formatting to convert values to billions and applies a custom label. The chart is rendered as SVG using d3.scaleLinear, d3.scaleBand, d3.axisBottom, and d3.axisLeft, with styled tick text and a title.

Aangelalien
96% match
Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries using 2018 UN population estimates, converted from thousands to raw numbers. The example emphasizes customizing D3 axes: the x-axis disables its domain, uses a custom tick formatter (converting 'G' to 'B'), and adds grid lines with negative tick sizes, while the y-axis removes its domain and tick lines entirely. It also styles tick text, axis labels, and the title via CSS. The visualization relies on D3 v5's `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` within an SVG rendering.

Eecw99
96% match
Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries using 2018 UN population estimates, converted from thousands to raw numbers. The example emphasizes customizing D3 axes: the x-axis disables its domain, uses a custom tick formatter (converting 'G' to 'B'), and adds grid lines with negative tick sizes, while the y-axis removes its domain and tick lines entirely. It also styles tick text, axis labels, and the title via CSS. The visualization relies on D3 v5's `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` within an SVG rendering.

Eecw99
96% match
Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries using 2018 United Nations population estimates, with country names on the y-axis and population values on the x-axis. The code customizes D3 v5 axes by removing domain lines, hiding tick lines on the y-axis, and formatting x-axis ticks to abbreviate numbers with a custom formatter that replaces “G” with “B.” It uses `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` from D3, rendering to SVG.

DDaniel Korosi
96% match