Ep. 22 | The Margin Convention

Dataviz 2020_Ep22 - 15. The Margin Convention

A horizontal bar chart displays the top 10 countries by 2020 population from the UN World Population 2019 dataset. React manages the component state and renders the SVG, while D3 utilities load the CSV data with `csv`, and compute scales using `scaleBand` and `scaleLinear`. The chart applies a fixed margin convention, translating the inner group by 20 pixels on each side, and uses `max` to set the x-axis domain.

MMinwoo Pak

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

Ep22 Margin Convention

A horizontal bar chart displays the top 10 countries by 2020 UN population estimates, using teal bars on a white background. The React app loads CSV data from a GitHub gist, parses the population column, and sorts by descending value. D3’s `scaleBand` positions the country categories on the y-axis, while `scaleLinear` maps population values to bar widths. SVG tick marks and labels are generated via `xScale.ticks()`, with axis lines and country names positioned relative to the fixed margins.

GGordon Yang

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

The Margin Convention

This example shows a horizontal bar chart of the ten most populous countries, using UN population data for 2020. The chart applies a standard margin convention using D3’s `scaleBand` for the categorical country names and `scaleLinear` for population counts, rendered as SVG rectangles inside a translated group. The visualization is built with React, which manages the loading state via `useState` and `useEffect`, while D3’s `csv` utility fetches and parses the data before it is sliced and mapped to bars.

TTroy Marchesseault

The Margin Convention

This example demonstrates the “margin convention” for bar charts, displaying the top 10 most populous countries in 2020. The visualization uses React to manage state and render SVG rectangles, while D3.js v6 handles data loading via `d3.csv` and scales for positioning. The chart applies explicit top, right, bottom, and left margins to define an inner plotting area, translating the SVG group accordingly. The data comes from a UN population CSV file, and the y-axis uses `scaleBand` for country labels, while `xScale` is a linear scale for population values.

Fforcox43

The Margin Convention - Bar Charts

This example demonstrates the margin convention for bar charts by rendering the top 10 most populous countries in 2020 using React and D3. It loads CSV data from the UN Population dataset via `d3.csv`, then uses `scaleBand` and `scaleLinear` to map countries and population values to SVG rectangles within a translated group element. The visualization appears as a horizontal bar chart with axes implied by the scales, while the margin object defines the inner plotting area. React hooks manage asynchronous data loading and state updates.

CChris Briggs

The Margin Convention

This example shows a bar chart of the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset, with the bars rendered using React and SVG. It demonstrates the margin convention by defining a `margin` object and using it to offset an inner `<g>` group, allowing the chart to fit within a 960×500 viewport. The code uses `d3.scaleBand` for the y-axis, `d3.scaleLinear` for the x-axis, and `d3.csv` to load and parse the data. Notably, the chart lacks axes, making it intentionally primitive and focusing purely on the spatial layout.

Hhung2606