Creating room using margin

100%

Creating room using margin

✓ Published1🌍 Public

Last edited Feb 11, 2022

Created on Feb 11, 2022

This example shows a horizontal bar chart of the top 10 most populous countries, using the 2020 population data from a CSV file hosted on GitHub. The chart is rendered as an SVG, with a React component managing the data loading and state via `useState` and `useEffect`. D3’s `scaleBand` and `scaleLinear` map the data to bar positions and widths, while a margin object defines the inner plotting area, ensuring the bars are offset from the SVG edges via a translated `<g>` element.

AI-generated description

Creating Bar-Chart of World Population

MIT Licensed

Similar vizzes

Loading thumbnail…

Margin Conventions

This example demonstrates the importance of margins in data visualization by rendering a horizontal bar chart of the top 10 countries by population in 2020. The chart uses a React component that fetches data from a GitHub-hosted CSV file via D3's `csv` utility. An SVG is drawn with `rect` elements, positioned using D3's `scaleBand` for the y-axis and `scaleLinear` for the x-axis. The code explicitly defines a `margin` object and translates the plot group by its top-left values to keep the bars inside the viewport.

Ddumbdataguy@gmail.com

87% match

Loading thumbnail…

margin of Bar Chart

This example displays a horizontal bar chart of the top 10 countries by 2020 population using D3.js scales and SVG rendering. The chart applies fixed margins around the plotting area, with the bar lengths proportional to population values and y-axis positions determined by country names. The code loads CSV data from a remote URL, employs React for state management, and constructs the visualization using d3.scaleBand and d3.scaleLinear APIs within an SVG container.

MMATTE-blz

87% match

Loading thumbnail…

Setup the bars and margins

This example shows a horizontal bar chart displaying the ten most populous countries in 2020. The bars are drawn inside a margin-defined area, with a band scale for country names on the y-axis and a linear scale for population on the x-axis. Using React hooks like `useState` and `useEffect`, it fetches CSV data from a GitHub gist via `d3.csv`, then renders SVG rectangles with `d3.scaleBand` and `d3.scaleLinear`. The visualization avoids overlapping edges by translating the chart group by the specified margins.

Eekorre1001

87% match

Loading thumbnail…

The Margin Convention

This example demonstrates a horizontal bar chart of the top 10 most populous countries in 2020, using D3 scales to map population counts to bar widths and country names to vertical positions. The chart applies the margin convention, translating the SVG group by a fixed margin so the bars fit within the inner chart area. React state manages the fetched CSV data, loaded asynchronously via `d3.csv`, while `d3.scaleBand` and `d3.scaleLinear` handle the scales, and SVG `<rect>` elements render each bar.

Ddiska432

87% 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

87% 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

87% match

Loading thumbnail…

Margin Convention

This example displays a horizontal bar chart that contrasts the populations of ten countries. The bar lengths are proportional to each country’s 2020 population, with country names listed along the vertical axis. The code uses React’s `useState` and `useEffect` to asynchronously fetch CSV data from a remote URL, then leverages D3 utilities like `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. The SVG rendering applies a margin convention, translating a group element by the top and left margin values to position the chart within the 960x500 canvas.

Rrstrauss127

86% 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

86% match