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Fork of Activity 6 task1-Q2

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Ssahithitoomu@gmail.com
Last edited Mar 30, 2025
Created on Mar 30, 2025

This visualization displays a horizontal bar chart of the population of ten African countries in the year 2000, with bars rendered as purple rectangles using D3 v6’s SVG API. It uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` to generate axes. Population values are formatted in millions, y-axis labels are rotated, and inline data is loaded asynchronously via `useData` and `d3.select`. The chart emphasizes readability with increased margins and axis labels.

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Activity 6 task1-Q1

This example visualizes the population of 10 African countries in the year 2000 as a horizontal bar chart, with bars rendered as purple rectangles and population values formatted in millions along the x-axis. The visualization uses d3.v6 with a scaleLinear for the population axis and scaleBand for the categorical country names, drawing SVG elements directly. Data is loaded asynchronously via a useData module returning a static array, and axes are generated using d3.axisBottom and d3.axisLeft, with y-axis labels rotated and x-axis labeled "POPULATION – 2000".

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This visualization shows the top 20 countries by population in 2010 using a horizontal bar chart. The SVG rendering uses D3 v6’s `scaleLinear` and `scaleBand` to map population values and country names to bar lengths and vertical positions. The bars are dark green and turn orange on hover. Axes are drawn with `axisBottom` and `axisLeft`, with tick labels formatted using D3’s `.2s` format, and the data is sourced from a static array returned by `getPopulationData`.

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This bar chart displays the population of 20 countries in the year 2000, with countries listed on the y-axis and population values on the x-axis. The visualization uses `d3.scaleLinear` and `d3.scaleBand` to map data to SVG rectangles, while `d3.axisBottom` and `d3.axisLeft` generate the labeled axes. Population data is loaded from a remote CSV file via `d3.csv`, formatted with compact notation (e.g., "1.2B"), and rendered as light green bars using the SVG `rect` element.

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This example visualizes the 2010 population of 20 countries as a horizontal bar chart, with each bar’s length encoding population magnitude. The bars are rendered as light green rectangles on an SVG canvas, using a linear x-scale and a band y-scale for country labels. Population data is loaded from a GitHub-hosted CSV via `d3.csv`. Axes are configured with `d3.axisBottom` and `d3.axisLeft`, with tick labels formatted using `d3.format` (converting millions to billions). The chart is built modularly with separate JavaScript files for axes and marks, all orchestrated in `index.js`.

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This chart displays the top 20 countries by population in 2010, using a horizontal bar chart rendered as an SVG. Countries are sorted in descending order along the y-axis, with bar lengths proportional to population on a linear scale and formatted numerical labels shown at each bar's end. The visualization is built with D3 v7, using `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the categorical y-axis, along with `d3.axisLeft` and `d3.axisBottom` for axes. Data is loaded from a remote CSV file, filtered to the 2010 column, and styled with light green bars that darken on hover.

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This bar chart displays the population of ten countries in the year 2000, using a horizontal layout with a linear scale for population and a band scale for country names. The visualization is built with React and D3 v5, fetching data from a remote CSV file and rendering SVG elements. Custom axis components generate tick marks and labels, while rectangular marks include tooltips showing the formatted population value via the d3 `format` API.

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