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Fork of Activity 6_Task1

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HHarshita Vairagade
Last edited Apr 13, 2024
Created on Apr 13, 2024
Forked from Activity 7_Task1

This horizontal bar chart displays the 2020 population for thirty countries, using green bars and blue axis lines. Built with React and D3 v5, the visualization loads data from an external CSV via the `csv()` function and renders as an SVG. The code defines custom components for axes and marks, using `scaleBand` and `scaleLinear` for positioning, with tooltips showing formatted population values.

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A demonstration of how to start using D3 version 6.

MIT Licensed

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Fork of activity 6_Task 1

A horizontal bar chart displays population figures for ten countries in 2000, with bars colored light green and axis ticks in blue. The visualization loads CSV data from a GitHub repository using D3 v5’s `csv` method, then renders SVG elements through React components. D3’s `scaleBand` and `scaleLinear` position the categorical y-axis and quantitative x-axis, while the `format` function converts population values into abbreviated units like billions.

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A horizontal bar chart displays the 2020 population for the top 30 countries, using green bars with blue axis ticks. The chart is built with React and D3 v5, where d3.scaleBand maps country names to the y-axis and d3.scaleLinear maps population values to the x-axis, with a custom tick formatter converting large numbers to billions. Data is loaded from a remote CSV via d3.csv, and tooltips show each bar's exact population value when hovered.

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A horizontal bar chart displays the 2020 population of thirty countries, with bars arranged alphabetically by country name. The chart loads data from a CSV file and renders it as an SVG using React and D3 v5, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. The code defines custom axis components and a `Marks` component for the rectangles, which include tooltips formatted using D3's `format` function.

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This horizontal bar chart visualizes the 2020 population for 30 countries, sorted from largest to smallest, with a green fill and blue axis ticks against a clean background. The chart loads data from a GitHub-hosted CSV via `d3.csv` and renders it as SVG using React components. D3's `scaleBand` and `scaleLinear` position the bars, while `format('.2s')` formats tick labels to show values in billions. Interactive tooltips display the exact population representation for each bar.

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This horizontal bar chart displays the population of 30 countries in 2020, using green bars sorted by country name on the y-axis and population on the x-axis. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis and `scaleLinear` for the continuous x-axis. The `format` function from D3 converts tick labels to abbreviated form (e.g., "1.2B"). Data is loaded asynchronously from a CSV file hosted on GitHub using D3's `csv` function, with bars rendered as SVG rectangles and tooltips showing the precise value.

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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 the populations of 30 countries in 2020. It is rendered as SVG with React, using D3’s scaleBand for the categorical y-axis and scaleLinear for the x-axis. Axis ticks and tick labels are generated by custom components; the bars carry tooltips with formatted population values via a D3 `title` element. Data loads from a remote CSV using D3’s `csv` function.

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Fork of Activity 6_Task 1

This horizontal bar chart displays the 2020 populations of up to 30 countries, with bars sorted by country name along the y-axis and population values on the x-axis. The visualization uses React and D3 v5, leveraging `scaleBand` and `scaleLinear` to map data, SVG rectangles for the marks, and axis components that render ticks and labels. Population values are formatted using D3’s `format` function, converting large numbers to compact “B” (billion) notation for tick labels and tooltips. Data is loaded from a remote CSV file via `d3.csv`.

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