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Fork of Activity 6_Question 1-1.2

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HHarshita Vairagade
Last edited Apr 13, 2024
Created on Apr 13, 2024

A horizontal bar chart displays the top ten countries by 2020 population, with bars extending rightward from a blue axis line and a green fill. The visualization uses React to render SVG elements, with D3 v5 scales (`scaleBand`, `scaleLinear`) mapping country names and population values. Data loads asynchronously from a GitHub-hosted CSV file via `d3.csv`, and tick labels format large numbers using `d3.format` with a custom 'B' suffix replacement.

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A demonstration of how to start using D3 version 6.

MIT Licensed

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Fork of Fork of Activity 6_Question 1

A horizontal bar chart displays the top 10 countries by population in the year 2000, using a green fill for each bar. The chart is built with React and D3 v5, with `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. Population values are parsed from a CSV file hosted on GitHub, formatted with D3's `format('.2s')` to show values in billions, and tooltips expose exact population figures. The SVG is rendered with reusable components for the axes and marks.

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Fork of Activity 6_Question 2

This example presents a horizontal bar chart of population figures for 20 countries in 2020, arranged from top to bottom by country name. The chart uses React components to render SVG elements, with D3 v5’s `scaleBand` and `scaleLinear` for positioning bars and `format` to abbreviate axis tick labels. Data is loaded from a remote CSV using D3’s `csv` function, with population values computed by multiplying the 2010 column by 1000. Bars include a native SVG `<title>` tooltip showing the formatted population value.

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Fork of Activity 6_Question1 1.2

This bar chart displays the population of the top 20 countries in 2010, ranked and sorted by country. Built with React and D3 v5, it uses `scaleBand` and `scaleLinear` to map data to an SVG canvas, rendering bars via custom `Marks`, `AxisBottom`, and `AxisLeft` components. The data is fetched from a CSV using `d3.csv` and formatted with `d3.format` to abbreviate large numbers. Styling includes custom tick lines, fill colors, and a Poppins font.

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Fork of Activity6_Question1.1

This visualization presents a horizontal bar chart showing the population of various countries in the year 2000. The chart displays the top 10 countries by population, with the data loaded from a CSV file using d3.csv. The visualization is built with React and D3 v5, using scaleBand and scaleLinear to create the layout, while SVG rectangles render the bars. Axes are constructed using custom React components, and a d3 format function converts large numbers into abbreviated labels like "B" for billions.

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A horizontal bar chart displays the 2010 population of 20 countries, with bars extending from a shared left axis. The chart uses React to render SVG elements, with D3 v5’s `scaleBand` and `scaleLinear` mapping country names and population values. Data loads asynchronously from a CSV file via D3’s `csv` function, and the x-axis labels are formatted with a SI prefix that converts gigabytes to billions.

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Fork of Activity 6_Question 1

This visualization shows the top 10 countries by population in the year 2000 as horizontal bars, with country names on the y-axis and population values on the x-axis. It is built with React and D3 v5, using `scaleBand` and `scaleLinear` to position the marks. The SVG rectangles render the data, which is loaded via `csv` from a GitHub-hosted dataset, and tooltips display formatted population values using D3’s `format`. The custom `AxisBottom` and `AxisLeft` components generate the tick marks and labels.

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This example displays a horizontal bar chart of the top ten countries by population in the year 2000, with bars sized proportionally to population values. It uses React components to render SVG elements, with D3 v5’s `scaleBand` and `scaleLinear` for positioning. The `csv` loader fetches data from a GitHub-hosted CSV file, and `format('.2s')` converts population numbers into abbreviated labels like “1.2B”. Native SVG `<title>` elements provide hover tooltips, while axis ticks and labels are generated through custom React components.

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Fork of activity 6_Question 1A

This example shows a horizontal bar chart ranking population figures for ten countries in the year 2000, using a CSV dataset fetched from GitHub. The visualization uses D3 v5 scales (`scaleBand`, `scaleLinear`) to map country names and population values to screen coordinates, while React components (`AxisBottom`, `AxisLeft`, `Marks`) render the SVG axes and bars. Population values are formatted with `format('.2s')` to display compact tick labels like “1.2B,” and native SVG `<title>` elements provide hover tooltips with the same formatted values.

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