Skip to main content
SimilarExport ZIP
100%

Customizing Axes

✓ Published0🌍 Public
Qqazwsxedcrfv12345
Last edited May 7, 2019
Created on May 7, 2019
Forked from Customizing Axes

This bar chart displays the populations of the world’s ten most populous countries, based on 2018 estimates from the United Nations World Population Prospects. It shows that the y-axis uses a band scale for country names, while the x-axis uses a linear scale for population values. The code customizes D3 axes by removing domain lines, adding gridlines, and formatting tick labels to abbreviate billions with a ‘B’. It uses `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom` with SVG rendering.

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 shows the populations of the ten most populous countries, with data from the 2018 United Nations World Population Prospects. It customizes D3 axes by removing domain lines and ticks, applying a custom tick format that converts billions to millions, and styling axis labels and titles via CSS. The chart uses `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis, with `d3.axisBottom` and `d3.axisLeft` to render grid lines and labels.

Hhaowu6027
96% match
Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the world’s ten most populous countries, based on 2018 estimates from the United Nations. The visualization demonstrates custom axis styling, including formatted tick labels, removed grid lines, and axis titles. Using d3.scaleLinear and d3.scaleBand, the chart maps population values and country names, while d3.axisLeft and d3.axisBottom render the axes with custom tick formatting that converts large numbers to abbreviated units.

Aadvaitkulkarni08
96% match
Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the world’s ten most populous countries, based on 2018 estimates from the United Nations. The visualization demonstrates custom axis styling, including formatted tick labels, removed grid lines, and axis titles. Using d3.scaleLinear and d3.scaleBand, the chart maps population values and country names, while d3.axisLeft and d3.axisBottom render the axes with custom tick formatting that converts large numbers to abbreviated units.

Aadvaitkulkarni08
96% match
Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the top 10 most populous countries, using data from the 2018 United Nations World Population Prospects estimate. It demonstrates customized D3 axes: the y-axis removes domain lines and ticks for a cleaner look, while the x-axis formats population values with abbreviations (e.g., “B” for billions) and adds a descriptive axis label. The code uses D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisBottom`, `axisLeft`, and `format`, rendering as SVG.

Ccbruml
95% match
Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the ten most populous countries, based on 2018 estimates from the United Nations World Population Prospects. Using d3.scaleBand for the categorical y-axis and d3.scaleLinear for the numerical x-axis, it customizes both axes by removing domain lines and applying tick formatting with d3.format. The visual is rendered as SVG, with gridlines drawn from x-axis ticks and a clear title and axis label.

Aanuj1450
95% match
Loading thumbnail…

Customizing Axes

This bar chart displays the 2018 populations of the ten most populous countries, with data from the United Nations World Population Prospects 2017. It demonstrates customizing D3 axes: the y-axis removes domain lines and tick marks, while the x-axis uses custom number formatting to abbreviate large values (e.g., converting "G" to "B"), adds grid lines, and labels the axis with a styled text element. The visualization uses d3.scaleLinear, d3.scaleBand, d3.axisBottom, and d3.axisLeft, rendering as SVG.

Ssppcmccoy
95% match
Loading thumbnail…

Customizing Axes

This bar chart displays the 2018 populations of the ten most populous countries, with data from the United Nations World Population Prospects 2017. It demonstrates customizing D3 axes: the y-axis removes domain lines and tick marks, while the x-axis uses custom number formatting to abbreviate large values (e.g., converting "G" to "B"), adds grid lines, and labels the axis with a styled text element. The visualization uses d3.scaleLinear, d3.scaleBand, d3.axisBottom, and d3.axisLeft, rendering as SVG.

Ssppcmccoy
95% match
Loading thumbnail…

Customizing Axes

This bar chart displays the 2018 populations of the ten most populous countries, with data from the United Nations World Population Prospects 2017. It demonstrates customizing D3 axes: the y-axis removes domain lines and tick marks, while the x-axis uses custom number formatting to abbreviate large values (e.g., converting "G" to "B"), adds grid lines, and labels the axis with a styled text element. The visualization uses d3.scaleLinear, d3.scaleBand, d3.axisBottom, and d3.axisLeft, rendering as SVG.

Ssppcmccoy
95% match