The Margin Convention

The Margin Convention

This example demonstrates the D3 margin convention by rendering a horizontal bar chart of the top ten countries by 2020 population, loaded from a CSV file. The visualization separates the chart’s inner plotting area from its outer SVG bounds using a margin object, with a scaleBand for countries and a scaleLinear for population values. Built with React and D3 v7, the SVG rectangles are positioned via a translated group element, while the data is fetched asynchronously using d3.csv.

JJakub

The Margin Convention

This example demonstrates the margin convention for D3 visualizations in a React application. It displays a horizontal bar chart of the top 10 countries by 2020 population from UN data, loaded via d3.csv. The SVG rendering uses d3.scaleBand for the y-axis and d3.scaleLinear for the x-axis, with a margin object defining the inner plotting area. React state manages the async data loading, and the chart updates once the CSV parsing completes.

AAlex Gomes

Margin Convention

This example demonstrates the margin convention in D3, rendering a horizontal bar chart of population data for the top 10 countries in 2020. The chart displays bars scaled by population using `d3.scaleLinear` and `d3.scaleBand`, with the SVG group translated to respect the defined margins. React manages the component state, loading the CSV data via `d3.csv` before rendering the SVG rectangles.

Jjwesterlund412

The Margin Convention

This example demonstrates a horizontal bar chart of the top 10 most populous countries in 2020, using D3 scales to map population counts to bar widths and country names to vertical positions. The chart applies the margin convention, translating the SVG group by a fixed margin so the bars fit within the inner chart area. React state manages the fetched CSV data, loaded asynchronously via `d3.csv`, while `d3.scaleBand` and `d3.scaleLinear` handle the scales, and SVG `<rect>` elements render each bar.

Ddiska432

The Margin Convention

This example displays a horizontal bar chart of the top ten most populous countries for 2020, using a conventional margin layout to offset the visualization from the SVG canvas edges. The application loads its data from a CSV file via `d3.csv`, then uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis to size the rectangles. React manages the component state and conditional rendering, showing a loading message until the data arrives, while the final chart is drawn as SVG elements within a transformed group.

SSabin Bhandari

The Margin Convention

This example demonstrates the margin convention in D3 by rendering a horizontal bar chart of population data for the top 10 countries from a CSV file. The visualization uses React to manage state and render SVG elements, while D3 utilities (`csv`, `scaleBand`, `scaleLinear`, and `max`) handle data loading and scaling. A fixed margin object creates inner dimensions for the plot area, with bars translated inside a `<g>` element. The chart shows each country's 2020 population as a proportional bar, with axes omitted to focus purely on bar lengths and spacing.

LLisa Wagner

The Margin Convention

This example demonstrates the margin convention in D3 by rendering a horizontal bar chart of the top 10 countries by 2020 population from UN data. The chart uses SVG rectangles positioned with `scaleBand` and `scaleLinear` scales, nested inside a translated `<g>` group to offset the visualization from the SVG edges. React hooks like `useState` and `useEffect` manage asynchronous data loading via `d3.csv`, while the margin object explicitly defines padding for the plot area.

SSarah Elkeurti

The Margin Convention

This example presents a basic bar chart using a horizontal layout, displaying the top ten countries by population for 2020. The bars are drawn as SVG rectangles, with their lengths proportional to each country's population value. The chart's position within the viewport is controlled by a fixed margin on all sides, demonstrating the standard convention of reserving space for axes and labels. The code loads data from a CSV file using D3's `csv` utility, then uses D3's `scaleBand` for the categorical country axis and `scaleLinear` for the quantitative population axis. React manages the rendering of the SVG elements, while D3 handles the data loading and scaling.

Aalexandermodell