Fork of Customizing Axes

100%

Fork of Customizing Axes

✓ Published0🌍 Public

Last edited Dec 14, 2022

Created on Dec 14, 2022

This bar chart displays the populations of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The chart emphasizes customized axes: the y-axis labels have no ticks or domain line, while the x-axis uses a tick format that abbreviates numbers (e.g., "1.42B") and extends grid lines across the plot. Built with D3 v5, the code employs `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`. Styling is applied via CSS classes, 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 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, including formatted tick labels that convert large numbers into abbreviated units and grid lines extending across the chart. It uses D3 v5 APIs such as `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG chart, with data loaded from a CSV file. Styling for the chart, including font sizes and fill colors, is defined in an external stylesheet.

Dddan0

97% match

Loading thumbnail…

Fork of Customizing Axes

This bar chart visualizes the populations of the top ten most populous countries, using 2018 estimates from the United Nations World Population Prospects. The chart demonstrates customized axes, including formatted tick labels that convert large numbers to billions via `d3.format`, and colored reference gridlines. Built with D3 v5, the visualization uses `d3.scaleLinear` and `d3.scaleBand` for scaling, and `d3.axisBottom` and `d3.axisLeft` for axes. The data is loaded from a CSV file and rendered as SVG rectangles.

LLulu

97% 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

97% match

Loading thumbnail…

Fork of Customizing Axes

This bar chart displays the populations of the top 10 most populous countries in 2018, using estimates from the United Nations World Population Prospects 2017. It demonstrates custom axes: the y-axis labels are simplified by removing tick lines and the domain, while the x-axis uses a custom tick format that abbreviates large numbers and converts 'G' to 'B'. The visualization is built with D3 v5, using `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft`, and renders as SVG.

Mmp7090

97% match

Loading thumbnail…

Fork of Customizing Axes

This bar chart shows the population of the top 10 most populous countries, using 2018 estimates from the United Nations’ World Population Prospects. The visualization demonstrates customized axes: the y-axis labels are cleanly rendered without tick lines, while the x-axis uses a custom tick formatter to abbreviate numbers (e.g., converting billions to "B"). The chart is built with D3 v5, using `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and the `axisBottom` and `axisLeft` APIs to generate the axes. Data is loaded from a CSV file and multiplied by 1000 to reflect actual population counts.

HHuaiyu Sun

97% 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. The visualization highlights customized D3 v5 axes, including formatted tick labels that abbreviate large numbers (e.g., converting billions to "B") and gridlines created via tick sizing. The code uses `d3.csv`, `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG chart, with data loaded from a local CSV file. Styling is applied through external CSS for text and rectangle elements.

Mmayuri-gosapphire

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

97% 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 chart employs D3's `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and customizes the axes with `axisBottom` and `axisLeft`. Tick labels are formatted using `format`, converting values to billions with a custom replacement. Data is loaded from a CSV file, and the SVG rendering includes styled tick lines, axis labels, and a title.

Ddagomezb

97% match