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Last edited Oct 22, 2024

Created on Oct 22, 2024

This example shows a horizontal bar chart comparing population sizes across 30 countries for the year 2020. The visualization loads data from a CSV file using the `useData` hook and `d3.csv`, then renders the bars with SVG rectangles in a React component. The chart includes labeled axes with formatted tick values using `d3.format`, a title, and a tooltip that displays each country's population on hover. The code demonstrates the integration of React with D3 scales such as `scaleBand` and `scaleLinear`, along with reusable axis and mark components.

AI-generated description

An example showing the capabilities of VizHub:

Loads D3 via UNPKG.
Demonstrates use of import from "d3".
Demonstrates use of import from local ES6 modules.

MIT Licensed

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Fork of Activity 6_Task 1

This example displays a horizontal bar chart of population totals for 30 countries in 2020, using a bar length to encode each country’s population magnitude. The visualization is built with React and D3 v5, leveraging `scaleBand` and `scaleLinear` for scales, and `csv` to load data from a GitHub-hosted CSV file. Rendered as SVG, it includes custom axis components, a formatted tick label using `format('.2s')`, and tooltips via the `<title>` element.

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This example shows a horizontal bar chart of population totals for 30 countries in 2020. The chart uses React to render SVG elements, with D3’s `scaleBand` and `scaleLinear` mapping country names to bar positions and population values to bar widths. Axes are generated by custom React components (`AxisBottom`, `AxisLeft`) that call `xScale.ticks()`. Tooltips appear via SVG `<title>` elements, and population data is loaded from a remote CSV using D3’s `csv` function.

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