Making a Bar Chart

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Making a Bar Chart

✓ Published1🌍 Public

Last edited Nov 26, 2020

Created on Nov 26, 2020

This bar chart displays the populations of the ten most populous countries using 2018 estimates from the United Nations World Population Prospects. The visualization highlights how China and India lead by a wide margin. Built with D3 v5, it uses `scaleLinear` for the x-axis and `scaleBand` for categories, with customized `axisBottom` and `axisLeft` elements. The population values are multiplied by 1000 in the code, and the SVG rendering positions steelblue rectangles while formatting tick labels with D3’s `format` function.

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.

MIT Licensed

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Making a Bar Chart

This bar chart displays the top 10 most populous countries based on 2018 estimates from the United Nations World Population Prospects. It shows population values for each country, with China and India leading significantly. The visualization uses D3 v5 with scaleLinear and scaleBand to map data to SVG rectangles, while axisLeft and axisBottom render the labeled axes with custom tick formatting. The code also customizes axes by removing domain lines and adds a title and axis label. Population data is loaded from a CSV file and multiplied by 1000.

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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 uses D3 v5 with SVG rendering, employing `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis. Customized axes include a formatted tick label and removed domain lines, alongside a title and axis label. Population values are loaded from a CSV file and multiplied by 1000 before being drawn as steelblue bars.

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