Fork of Customizing Axes

100%

Fork of Customizing Axes

✓ Published0🌍 Public

Last edited Jan 30, 2023

Created on Jan 17, 2023

This bar chart displays the population of the ten most populous countries, using 2018 estimates from the United Nations World Population Prospects. The visualization customizes D3 axes with a linear x-axis using population values and a banded y-axis for country names, applying tick formatting that converts abbreviations like ‘B’ for billions. Built with D3 v5, the SVG chart uses `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render bars and grid lines, with data loaded from a CSV file.

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 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 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 v5 axes with d3.scaleLinear and d3.scaleBand, using d3.axisBottom and d3.axisLeft for tick formatting and gridlines. Bar widths correspond to population values, with labels styled via CSS classes. The chart is rendered as SVG, with data loaded from a CSV file and formatted using d3.format to abbreviate large numbers.

Rraghesh99

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

Loading thumbnail…

Fork of 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. It highlights custom D3 v5 axis styling, including tick formatting that converts abbreviations (e.g., G to B), grid lines, and labeled axes. The visualization uses d3.scaleLinear and d3.scaleBand to map population and country names, with d3.axisBottom and d3.axisLeft for rendering. Data is loaded via d3.csv, and the SVG output is styled with custom CSS for fonts, colors, and margins.

Pprats-mh

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 displays the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects 2017. The visualization builds on a basic bar chart by customizing its axes, removing default domain lines and ticks for a cleaner look, and formatting population labels to abbreviate large numbers (e.g., using "B" for billions). It uses D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft`, with data loaded from a CSV file and rendered as SVG rectangles.

Eetiosa

96% match