Skip to main content
SimilarExport ZIP
100%

Margin Convention with React & D3

✓ Published1🌍 Public
JJohn Jeevasaeyan
Last edited Sep 9, 2021
Created on Sep 9, 2021

This example loads United Nations population data from a CSV file and renders it as a horizontal bar chart using React and D3. The visualization displays the top ten countries by 2020 population, with bar widths proportional to population values and y-axis positions determined by country names. The React component manages the data fetching and state, while D3 utilities handle CSV parsing, linear scaling for the x-axis, and band scaling for categorical y-axis placement. The SVG output respects a margin convention around the plot area.

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…

Margin Convention

This example demonstrates the margin convention for D3 visualizations by rendering a horizontal bar chart of United Nations population data. The chart displays the top 10 countries by 2020 population, with bars scaled linearly along the x-axis and categorically arranged along the y-axis. Using React hooks to manage state, the code loads CSV data with `d3.csv` and creates scales with `scaleBand` and `scaleLinear`. The SVG output groups all rectangles inside a translated `<g>` element, applying the specified margins to position the chart within the 960×500 viewport.

WWilliam Couturiaux
94% match
Loading thumbnail…

Margin Convention

This example demonstrates how to visualize the populations of the top ten countries using a bar chart rendered as static SVG elements in React. The chart uses a band scale for country names on the y-axis and a linear scale for population values on the x-axis, with a margin convention applied to position the chart within the viewport. Data is loaded from a CSV file containing UN population estimates for 2019 using `d3.csv`, while `d3.scaleBand` and `d3.scaleLinear` handle the scaling. The visualization is built with React functional components and hooks, with D3 v6 utilities supplying the data-processing and scale functions.

MMario Ibarra
93% match
Loading thumbnail…

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
93% match
Loading thumbnail…

The Margin Convention with React & D3

This example demonstrates the margin convention in a React-based bar chart, showing the top ten countries by 2020 population. The visualization uses D3's `scaleBand` and `scaleLinear` to map country names and population values, respectively, while React handles rendering of SVG rectangles. Data is loaded asynchronously from a CSV file using D3's `csv` utility, and a margin object creates inner dimensions for the chart’s plotting area, with all bars grouped inside a translated `<g>` element.

Ccremcircle@gmail.com
93% match
Loading thumbnail…

Margin Convention

This example demonstrates the margin convention in D3 by rendering a horizontal bar chart of the top ten countries by 2020 population from a UN dataset. The chart uses React state to load the CSV data via `d3.csv`, then maps it to SVG rectangles positioned with `d3.scaleBand` and `d3.scaleLinear`. The outer `<svg>` is sized to 960×500, while an inner `<g>` element is translated by margin offsets, showing how to reserve space for axes or labels. The visualization highlights reusable patterns for combining React with D3’s data utilities.

KKazushige Okuma
93% match
Loading thumbnail…

Margin Convention

This example demonstrates the Margin Convention in D3 by displaying a bar chart of the top 10 most populous countries using data from the United Nations World Population Prospects 2019. The chart initially appears as a bare visualization with no axes or labels, emphasizing the layout structure. The React component uses `useState` and `useEffect` to load CSV data via `d3.csv`, while `d3.scaleBand` and `d3.scaleLinear` position and size the rectangles within a specified margin. The SVG output is rendered with React, applying a translation transform to offset the inner chart area from the outer margins.

YYenTingWu
93% match
Loading thumbnail…

The Margin convention

This example demonstrates the margin convention in D3.js by rendering a bar chart of United Nations population data for 2019, showing the top 10 countries. The visualization uses React components with D3 scales (d3.scaleBand and d3.scaleLinear) to map countries to the y-axis and population values to the x-axis. An SVG group element applies the margin offsets via a transform, separating the plotting area from the axes. The code fetches the CSV data using d3.csv and renders grid lines, tick labels, and horizontal bars within the defined inner dimensions.

Bbassra
93% match
Loading thumbnail…

The Margin Convention

This example demonstrates the margin convention in D3 by rendering a horizontal bar chart of the top 10 most populous countries from UN population data. React manages the component state, fetching the CSV via `d3.csv` and storing the parsed data. The chart uses `scaleBand` for the y-axis country categories and `scaleLinear` for the x-axis population values, with bars drawn as SVG `rect` elements inside a translated group to respect the margin. The visualization shows how margins create space for potential axes while keeping the plot area clean.

MMichael Bergerson
93% match