Skip to main content
SimilarExport ZIP
100%

The Margin Conventiion

✓ Published1🌍 Public
FFonda Irena Santoso
Last edited Apr 21, 2021
Created on Apr 21, 2021
Forked from Bar Chart I

This example visualizes the top 10 countries by 2020 population as a horizontal bar chart, with each bar’s length proportional to its population value. The chart applies a margin convention to position the bars within an SVG, using a band scale for country categories and a linear scale for population magnitudes. Data is loaded from a CSV file using `d3.csv`, while React manages the component state and rendering. Bars are drawn as SVG `<rect>` elements, with axes omitted, and the chart updates after the data asynchronously loads.

AI-generated description

A program that loads in some data about CSS named colors using D3 utilities, and uses React to render the data as a radial burst!

MIT Licensed

Similar vizzes

Loading thumbnail…

The Margin Convention

This example visualizes the top 10 countries by population in 2020 as horizontal bars. The chart uses the margin convention, arranging a 960 by 500 pixel SVG with a 20-pixel margin on each side. The code loads data from a CSV file using D3's `csv` utility, and then uses React state to manage the data asynchronously. Key D3 APIs include `scaleBand` for the categorical country axis, `scaleLinear` for the population axis, and `max` to compute the domain, with bars rendered as SVG `rect` elements within a transformed group.

MMadNietzsche
96% match
Loading thumbnail…

The Margin Convention

This example demonstrates a simple horizontal bar chart of the top ten countries by 2020 population, using data loaded from a CSV file. The chart applies the margin convention, reserving space around the plot area with a 20-pixel margin on all sides. The visualization uses React state to manage the data and renders SVG rectangles, with scales defined by `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis. Population values are parsed from the CSV using D3’s `csv` utility.

JJoeleen Kado
96% 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
95% match
Loading thumbnail…

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
95% 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
95% match
Loading thumbnail…

The Margin Convention

This example displays a horizontal bar chart of the top 10 countries by projected 2020 population, encoded as SVG rectangles. The chart uses D3's `scaleBand` and `scaleLinear` to map categorical country names and numerical population values to pixel coordinates. It loads data from a CSV file via `d3.csv` and renders the visualization with React, applying a margin convention to position the plot area within the SVG canvas. The bars are drawn using the `rect` SVG element, with dimensions derived from the scales.

SShmuel Leider
95% match
Loading thumbnail…

The Margin Convention

This example shows a horizontal bar chart of the top 10 countries by population in 2020, loaded from a CSV file. The chart demonstrates the margin convention by offsetting a group of rectangles using an SVG transform. React state manages the asynchronous data loading with `d3.csv`, while the scales `scaleBand` and `scaleLinear` map country names and population counts to the inner chart dimensions. The bars are rendered as SVG `rect` elements within React’s declarative JSX structure.

KK3zter
95% match
Loading thumbnail…

The Margin Convention

This example displays a bar chart of the top ten countries by 2020 population, using a horizontal layout where each bar’s length is proportional to the population value. The visualization is built with React, using D3 utilities for data loading and scaling: `d3.csv` fetches the UN Population dataset, while `d3.scaleBand` and `d3.scaleLinear` map countries and populations to SVG rectangles. The SVG output is rendered inside a React component, with margins applied via a translation transform.

Ffjvoris
95% match