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Fork Activity 6_Question1.1

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Aakhillenkalapally1999@gmail.com
Last edited Apr 5, 2024
Created on Apr 5, 2024

This chart displays the populations of ten countries in the year 2000 as horizontal bars. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis, `scaleLinear` for the numerical x-axis, and renders SVG rectangles. The dataset is loaded via D3’s `csv` function from a GitHub repository, with axis ticks and tooltips formatted using `format('.2s')`.

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A demonstration of how to start using D3 version 6.

MIT Licensed

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This chart displays the population of ten countries in the year 2000 as a horizontal bar chart, with country names on the y-axis and population values on the x-axis. The code uses React with D3 v5, employing `scaleBand` and `scaleLinear` for coordinate mapping, and renders SVG rectangles through custom `AxisBottom`, `AxisLeft`, and `Marks` components. Data is loaded from a CSV file using `d3.csv`, with population values converted from the ‘2000’ column and formatted using `d3.format`.

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This bar chart visualizes the population of ten countries for the year 2000, sourced from a CSV file. Built with React and D3 v5, it uses `scaleBand` and `scaleLinear` for axes, while `format` converts tick labels to abbreviated numbers. Each bar includes a SVG `<title>` tooltip, and the visualization is rendered as an SVG. Horizontal bars are sorted by country, showing population with a green fill.

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This horizontal bar chart displays the population of ten countries in the year 2000, sorted with the largest population at the top. Built with React and D3 v5, it uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis, rendering SVG rectangles. Data is loaded from a CSV file using D3’s `csv` function, and axis ticks are formatted with a custom SI prefix function that converts billions to 'B'.

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This chart displays the population of ten countries in the year 2000 as horizontal bars, with country names on the y-axis and population on the x-axis. The visualization uses React components to render SVG elements, with d3.scaleBand for the categorical y-axis and d3.scaleLinear for the quantitative x-axis. AxisBottom and AxisLeft components generate ticks and labels, while Marks renders the rectangles. Data is loaded from a CSV file via d3.csv, and tick labels are formatted using d3.format with abbreviations.

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This example shows a horizontal bar chart of 2010 population data for the world’s most populous countries, sorted by country name. The chart uses React to render SVG elements, with D3’s `scaleBand` and `scaleLinear` mapping country names and population values to pixel coordinates. Data is loaded asynchronously via `csv` from a GitHub-hosted CSV file, and each bar includes a native SVG `<title>` tooltip showing the formatted population value.

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This bar chart displays the population of 20 countries in 2010, ordered along the vertical axis with horizontal bars extending to represent each country’s population. The visualization is built with React and D3 v5, using `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis, with bars rendered as SVG rectangles via the `Marks` component. Data is loaded asynchronously from a CSV file using `d3.csv`, and axis ticks are formatted with `d3.format` to abbreviate large numbers (e.g., converting billions).

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