Making a Bar Chart

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Making a Bar Chart

✓ Published1🌍 Public

Last edited Jan 17, 2020

Created on Jan 17, 2020

This example shows a horizontal bar chart ranking the top 10 most populous countries based on 2018 estimates from the United Nations World Population Prospects. It uses D3 v5 (d3.scaleLinear, d3.scaleBand, d3.axisLeft, d3.axisBottom) to map population values to bar lengths and country names to y-axis positions. The chart customizes axes by removing domain lines and tick marks, and formats tick labels with a custom function replacing 'G' (giga) with 'B' (billion). Population data is read from a CSV file and multiplied by 1000 before rendering 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.

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 2017. It uses d3.scaleLinear and d3.scaleBand to map population values and country names, with d3.axisBottom and d3.axisLeft for the axes. The chart customizes tick formatting using d3.format to abbreviate numbers, replacing 'G' with 'B' for billions. Data is loaded from a CSV file via d3.csv, rendered as SVG rectangles with a steelblue fill.

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This example shows a horizontal bar chart of the top 10 most populous countries, using 2018 population estimates from the United Nations World Population Prospects. The chart uses an SVG rendered with D3 v5, importing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` from the `d3` module. Population values from the CSV are converted to numbers and multiplied by 1000 before being mapped to bar widths. The y-axis positions country names, while the x-axis scales population linearly, with steelblue bars and labeled axes.

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This example displays a bar chart of the top 10 most populous countries, using 2018 population estimates from the United Nations World Population Prospects. The population values, stored in a CSV file, are multiplied by 1,000 and mapped to bar widths using `d3.scaleLinear`, while country names are positioned on a `d3.scaleBand` axis. It uses `d3.axisLeft` and `d3.axisBottom` to render axes, with tick labels formatted via `d3.format`. The chart is drawn as SVG elements, with a title and axis label added as text.

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This example presents a horizontal bar chart showing the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects 2017. It uses D3 v5's `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs to map population values and country names to SVG rectangles. Data is loaded from a CSV file and processed by multiplying the population values by 1000. The chart renders entirely as SVG, with bars styled in steelblue, and the code illustrates a basic data-join and margin setup for reusable visualization.

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This bar chart displays the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. It shows a horizontal bar layout with country names on the y-axis and population values on the x-axis, featuring custom axis formatting that converts large numbers to abbreviated units like “B” for billions. Built with D3 v5, the example uses `d3.scaleLinear` and `d3.scaleBand` for positioning, `d3.axisLeft` and `d3.axisBottom` for axes, and `d3.csv` to load data. The chart is rendered as SVG elements with styled rectangles.

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A horizontal bar chart displays the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects 2017. The chart uses D3 v5’s `scaleLinear` and `scaleBand` to map population and country names, with `axisBottom` and `axisLeft` for customized axes. Population values are formatted with `d3.format`, and the SVG bars are rendered from a CSV file.

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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 uses D3 v5 with an SVG rendering, featuring a linear scale for population values and a band scale for country names. Customized axes include formatted tick labels that convert units to billions and a horizontal grid. The chart applies a steelblue fill to bars and includes a title and axis label.

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This horizontal bar chart visualizes the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. The chart displays population values on the x-axis with a custom tick format that abbreviates large numbers (e.g., “1.42B”) and country names on the y-axis. The visualization uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs, with bars rendered as SVG `rect` elements. Data is loaded from a local CSV file, and axes are customized by removing domain lines and adding axis labels.

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