Marign Convention

The Margin Convention

This visualization displays a horizontal bar chart of the ten most populous countries, using the United Nations 2019 population estimates. The chart is rendered as SVG elements within a React component. The data is loaded using `d3.csv`, with the y-axis scaled by country name via `d3.scaleBand` and the x-axis scaled by population count using `d3.scaleLinear`. React's `useState` and `useEffect` manage data loading and state, while D3's `max` function determines the chart’s domain. The visualization follows a margin convention with a 20-pixel inset on all sides of the 960x500 SVG canvas.

Kkbrookshire420

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

The Margine Convention

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.

Nnpelliccia

The Margin Convention

A bar chart displays the populations of the ten most populous countries, loaded from UN Population 2019 data. Using React and D3, the `scaleBand` maps countries on the vertical axis and `scaleLinear` maps population values to bar widths. SVG rectangles are rendered inside a transformed group, with the data fetched via D3’s `csv` utility. The visualization adheres to a fixed margin convention to clearly present the comparative scale.

Yyejichun@naver.com

Margin Convention Bar Chart

A margin convention bar chart displays the top ten countries by 2020 population, with horizontal bars ordered by country name. The visualization uses React to manage state and render SVG elements, while D3 v5 utilities handle data loading and scales: `csv` fetches the UN population dataset, and `scaleBand` and `scaleLinear` map country names and population values to pixel positions. Axis ticks are generated via `xScale.ticks()`, with the chart area offset by explicit margins for the left-aligned labels.

DDavid Beales

Margin Convention

A bar chart displays the ten most populous countries using UN population data for 2019. The D3 v7 scales, `scaleBand` and `scaleLinear`, map country names and population values to SVG rectangles. React state manages the asynchronous loading of the CSV via D3's `csv` function. The chart applies the margin convention by translating a group element, reserving space for axes and labels within a 960 by 500 viewport.

JJohn Patrick Banas

The margin convention

A bar chart displays the ten most populous countries in 2020, using data from the UN Population 2019 dataset. The visualization demonstrates the margin convention by placing scales and axes inside a translated SVG group, separating the plot area from the chart edges. React manages the component state and renders the SVG, while D3’s `csv`, `scaleBand`, `scaleLinear`, and `max` functions handle data loading, scaling, and axis generation. Tick marks and labels for both axes are generated from the scale domains, with bars sized by population values.

Aaparnasj-sj

BarChart

This bar chart displays the 2020 populations of the ten most populous countries, with country names on the y-axis and population values on the x-axis. Built with React and D3 v7, it uses `d3.csv` to load data from a GitHub-hosted UN Population dataset and `scaleBand` and `scaleLinear` for positioning. The SVG renders gridlines, tick labels, and rectangles, while a small message function reports the dataset’s file size, row count, and column count.

Mmbooch22