The Margine Convention

100%

The Margine Convention

✓ Published1🌍 Public

Last edited Aug 4, 2021

Created on Aug 4, 2021

A horizontal bar chart displays the ten most populous countries for 2020, with each country's bar length proportional to its population. The visualization loads population data from a CSV file hosted on GitHub and renders the chart as an SVG. The React application uses D3's `csv` parser, `scaleBand`, `scaleLinear`, and `max` functions to process the data and map values to bar dimensions. Bars are drawn as `rect` elements within a transformed SVG group, sized according to the computed scales.

AI-generated description

A program that loads CSV data into react and renders the data

MIT Licensed

Similar vizzes

Loading thumbnail…

The Margin Convention

A bar chart displays the ten most populous countries for 2020, using horizontal bars to compare their population values. The visualization loads CSV data from a GitHub repository and renders it as SVG rectangles. React manages the application state and renders the chart, while D3 utilities handle data loading, scaling, and layout computation. The code explicitly defines margins for the chart area and uses D3’s linear scale for the population axis and band scale for country labels.

Jjordancampbell23

90% match

Loading thumbnail…

The Margin Convention

This visualization displays the populations of the ten most populous countries in 2020 as horizontal bars, sorted by country name. It loads CSV data from a GitHub Gist using D3’s `csv` utility, then renders the chart with React as SVG elements. D3’s `scaleBand` and `scaleLinear` position and size the rectangles within a fixed margin-defined plotting area, emphasizing the chart’s interior space.

Iisavedalex

89% match

Loading thumbnail…

The Margin Convention

This example displays a horizontal bar chart of the ten most populous countries in 2020, with each bar’s length proportional to its population. The visualization uses React to render SVG rectangles, while D3 v5 utilities (`d3.csv`, `d3.scaleBand`, `d3.scaleLinear`, `d3.max`) handle data loading and scaling. The data originates from a UN population CSV fetched via URL. The chart defines margins for the plotting area, translating the SVG group accordingly to position bars within the inner dimensions.

Aazharahmad0

89% match

Loading thumbnail…

The Margin Convention

The visualization displays a horizontal bar chart of the top ten countries by 2020 population, using varying bar lengths to represent population magnitude. It loads data from a CSV file via `d3.csv`, parses the population values, and renders the chart as an SVG. The implementation uses React state with `useState` and `useEffect` to manage the asynchronous data loading, then applies `d3.scaleBand` for the y-axis and `d3.scaleLinear` with `d3.max` for the x-axis scaling, encoding each country as a rectangle within a transformed group.

Bbakstorage00001

88% match

Loading thumbnail…

The Margin Convention

This visualization displays the top 10 most populous countries in 2020 as horizontal bars, with each bar’s length proportional to its population. The chart is rendered as an SVG using React components, with data loaded via D3’s `csv` utility. Margins are applied to position the inner group, while `scaleBand` and `scaleLinear` map country names and population values to pixel coordinates. The code also includes commented-out logic for generating pie arcs with `arc()` and `pie()`, though the active view uses simple rectangles.

MMilena Belianovich Holtman

88% match

Loading thumbnail…

The Margin Convention

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, with each bar’s length proportional to the country’s population. The visualization is built using React and D3’s `scaleBand` and `scaleLinear` to map country names to y-coordinates and population counts to bar widths, respectively. Data is loaded asynchronously from a CSV via D3’s `csv` utility, and bars are rendered as SVG `rect` elements within a margin-adjusted coordinate system.

EEFezerKW

88% match

Loading thumbnail…

The Margin Convention

This example shows a horizontal bar chart of the ten most populous countries in 2020, with each bar’s length proportional to population. The visualization uses React to render SVG rectangles inside a `<g>` element translated by a margin object, while D3’s `csv` loads and parses the UN population data. `scaleBand` maps country names to vertical positions, and `scaleLinear` scales population values to bar widths within the inner chart dimensions. The chart omits axes and labels, focusing purely on the margin convention.

Bbsolomon103

88% match

Loading thumbnail…

The MArgin convention

This example displays a bar chart comparing the 2020 population of ten countries from a UN population prospects dataset. Each bar’s width is proportional to the country’s population, and the countries are arranged vertically using a band scale. The visualization is rendered with React and SVG, using D3 v7’s `scaleBand` and `scaleLinear` to map data to coordinates, and D3’s `csv` loader to fetch and parse the remote data. The code shows a fixed chart size with a 20-pixel margin on each side.

Jjackcaldwellnichols

87% match