Skip to main content
SimilarExport ZIP
100%

Grouped Bar Chart

✓ Published0🌍 Public
CChristian Magelssen
Last edited Nov 30, 2020
Created on Nov 30, 2020
Forked from Grouped Bar Chart

This example shows the ten most populous countries grouped by continent, with horizontal bars scaled by population. Each continent appears as a separate band containing its countries, with a title and shared x-axis. The visualization is built with React and D3 v6, using `scaleBand` for country placement, `scaleLinear` for population values, and SVG rectangles rendered via a custom `Marks` component. Data is loaded asynchronously from a CSV file using D3's `csv` method.

AI-generated description

Showing the 10 most populous countries, grouped by continent.

MIT Licensed

Similar vizzes

Loading thumbnail…

Grouped Bar Chart

This example shows the 10 most populous countries in the world, grouped by continent, using horizontal bars whose lengths represent population. Each continent has its own chart panel with an internal band scale for its countries, all sharing a common linear population axis. The visualization is built with React and uses D3’s `scaleBand` and `scaleLinear` for layout, rendering marks as SVG rectangles. Data is loaded from a CSV file via `d3.csv`, and population labels are formatted using D3’s `format` API.

CChristian Magelssen
97% match
Loading thumbnail…

Grouped Bar Chart

The visualization is a grouped bar chart showing the 10 most populous countries, grouped by continent. Each continent has its own horizontal bar chart with population values, allowing for comparison across regions. The chart is built using React and D3 version 6, leveraging `scaleBand` for the categorical country axis and `scaleLinear` for the population scale. Data is loaded from a CSV file using D3's `csv` function, and the visualization is rendered as SVG elements.

NNita
95% match
Loading thumbnail…

Fork of Grouped Bar Chart

This example shows the 10 most populous countries grouped by continent using a horizontal bar chart for each group. Each continent is rendered as a separate chart section with its own y-axis, while a shared linear x-axis encodes population values. The visualization is built with React components and D3 v6 scales, including `scaleBand` for grouping and `scaleLinear` for population. Data is loaded asynchronously from a CSV via `d3.csv`, and bars are rendered as SVG rectangles with tooltips showing formatted population values.

AAnimesh Nautiyal
94% match
Loading thumbnail…

Fork of Grouped Bar Chart

This example shows the ten most populous countries grouped by continent as horizontal bar charts, with each continent displayed in a distinct band. The chart uses a linear x-scale for population and band scales for both continents and countries, rendering the bars as SVG rectangles via React components. The code loads CSV data with `d3.csv` and formats population labels with `d3.format`. Each continent’s chart includes axis labels, grid lines, and a zero line, all styled with the Noto Sans JP font.

Mmavercikalvin
93% match
Loading thumbnail…

Grouped Bar Chart

Ten countries with the largest populations are grouped by continent, with horizontal bars showing population size for each country. The chart uses a linear scale for population values and band scales for grouping by continent and country. Built with React and D3 v6, it renders SVG elements including custom axis components, a zero line, and tooltips via `<title>` elements. Data is loaded as CSV from a GitHub gist.

WWaseem Medhat
92% match
Loading thumbnail…

Bar Chart Example

This horizontal bar chart displays the top 10 most populous countries, using population data loaded from a CSV file. The visualization uses React with D3 v5’s `scaleLinear` and `scaleBand` to map values, while `axisLeft` and `axisBottom` with tick formatting render the axes. SVG elements are appended directly to the DOM, with grid lines created via tick size and styled bars filled in steelblue.

NNico Donovan
88% match
Loading thumbnail…

Bar Chart

This bar chart displays the populations of the ten most populous countries, with horizontal bars ordered by country name. The visualization reads population data from a CSV file and renders it as SVG using React and D3 v5. The code leverages D3’s `csv` loader, `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft`/`axisBottom` to generate the chart’s axes.

JJoshuaBruens
88% match
Loading thumbnail…

Refactored Bar Chart

This example shows a horizontal bar chart of the ten most populous countries in 2020, ordered by country name. Each bar’s length encodes population, with a left axis labeling countries and a bottom axis showing population values. The visualization is built with React and D3 v6, using `scaleBand` and `scaleLinear` to map data to SVG rectangles, with custom `AxisBottom`, `AxisLeft`, and `Marks` components. The data is loaded from a CSV URL via D3’s `csv` function.

TTaweewat Somboonpanyakul
88% match