Fork of Customizing Axes

100%

Fork of Customizing Axes

✓ Published2🌍 Public

Last edited Dec 29, 2020

Created on Dec 29, 2020

This bar chart visualizes the populations of the top 10 most populous countries, using data from the 2018 United Nations World Population Prospects. The chart displays each country’s population as a horizontal bar, with axis labels and a title. The code builds a custom D3 v5 visualization using `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft`, while customizing tick formatting and removing axis lines. Data is loaded from a CSV file using `d3.csv`, and the SVG rendering is styled with CSS.

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 population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. The visualization is built with D3 v5, using `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and custom axes with `axisBottom` and `axisLeft`. The code formats population values with `format('.3s')` and removes default axis domains. Data is loaded via `csv`, and the chart is rendered as SVG with styled tick lines and labels.

AAshtone Onyango

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

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 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

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 builds on a basic bar chart example by demonstrating customized D3 axes. The visualization uses d3.csv to load data, d3.scaleLinear and d3.scaleBand for positioning, and d3.axisBottom with a custom tick format that converts values to abbreviated units like “B” for billions. The chart also removes default axis domains, adds custom axis labels, and styles text elements via CSS in an SVG rendering.

AAlexander Maina

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. 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

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 displays the top 10 most populous countries based on 2018 estimates from the United Nations World Population Prospects. It visualizes population data loaded from a CSV file, with each country’s population scaled linearly along the x-axis and country names positioned along a band scale on the y-axis. The example customizes D3 axes by removing tick lines, formatting tick labels from billions to the letter “B”, and adding custom axis and title text using `axisBottom` and `axisLeft` from d3 v5.

Ddyangeng

96% match