Fork of Customizing Axes

100%

Fork of Customizing Axes

✓ Published0🌍 Public

Last edited Jun 27, 2021

Created on Jun 27, 2021

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.

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

98% 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

98% 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 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.

JJIAHAO LAI

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 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

97% match

Loading thumbnail…

Fork of 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 demonstrates customized D3 axes, featuring a horizontal bar chart rendered with SVG. The code uses D3 v5 utilities such as `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to construct the plot, with custom tick formatting that converts billions into a readable format. The chart includes styled gridlines, axis labels, and a title, with data loaded from a CSV file.

UUpamanyu-ml

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 visualization demonstrates custom D3 axes, including formatted tick labels that convert values to billions and styled tick lines. Built with D3 v5, the code uses `csv` to load data, `scaleLinear` and `scaleBand` for positioning, and `axisBottom` and `axisLeft` for rendering axes. The SVG rendering includes custom labels for the title and x-axis, with styling applied via external CSS.

SShdnShmli

97% match