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Question1.2

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VVenkataSaisrivishnuBatchu@my.unt.edu
Last edited Apr 4, 2024
Created on Apr 4, 2024
Forked from Question1.1

A horizontal bar chart displays the top 20 countries by 2010 population, using a CSV dataset loaded via D3's `csv` function. The chart is rendered as SVG with React components, mapping country names to a `scaleBand` y-axis and population values to a `scaleLinear` x-axis. Data values are formatted with D3's `format` function, converting values into billions with a 'B' suffix. Hovering over each rectangular bar reveals a tooltip with the population value, while blue tick lines and green bars provide clear visual separation.

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A demonstration of how to start using D3 version 6.

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Question1.2

This example displays a horizontal bar chart of the top 20 countries by population in 2010, with bars sorted by country name. Built with React and D3.v5, it uses `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. The SVG rendering includes axes and marks, with population values formatted using `format('.2s')` to replace 'G' with 'B'. Data is loaded via D3's `csv` function from a GitHub-hosted CSV file, and all chart elements—ticks, labels, and rectangles—are generated from local ES6 modules.

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Question 1.1

A horizontal bar chart displays the 2010 populations of twenty countries, loaded from a remote CSV with D3's `csv` function. React renders SVG rects for data marks, with a linear scale mapping population to bar width and a band scale mapping country names to vertical positions. D3's `format` function abbreviates tick labels, replacing 'G' with 'B' for billions in the bottom axis. Mouseover tooltips, created with SVG `<title>` elements, show the formatted population values.

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question 1.1

A horizontal bar chart ranks the 20 most populous countries by their 2010 population figures. The visualization uses React components to render SVG rectangles, with D3’s `scaleBand` and `scaleLinear` mapping country names and population values to screen coordinates. Data is loaded asynchronously via `d3.csv` from a GitHub-hosted CSV file, with axis tick labels formatted using D3’s `format` helper. Each bar includes a `<title>` element for native tooltip display, and the chart is styled with green marks and blue axis lines.

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Question-1.1

This example displays a horizontal bar chart of the top 10 countries by population for the year 2000. Using D3 v5 and React, the chart employs `scaleBand` and `scaleLinear` for positioning, with bars rendered as SVG `<rect>` elements from CSV data. The x-axis uses `format('.2s')` to abbreviate population values, converting 'G' to 'B' for billions, and each bar includes a tooltip via the `<title>` element. Axis ticks are labeled in blue, and the visualization is styled with the Poppins font.

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Question 1.2

A horizontal bar chart displays the population of 20 countries in 2010, with bars sorted by country name and labeled along the left axis. The visualization uses React to render SVG elements, with D3’s `scaleBand` and `scaleLinear` for positioning, and custom `AxisBottom`, `AxisLeft`, and `Marks` components. Data is loaded via D3’s `csv` from a GitHub-hosted CSV file, and tick labels are formatted using D3’s `format`.

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question-2

This bar chart displays the top 20 countries by population for the year 2010, using data from a CSV file hosted on GitHub. The visualization renders as an SVG using React and D3 v5, with scales created via `scaleBand` and `scaleLinear`, and axes rendered through custom `AxisBottom` and `AxisLeft` components. Population values are formatted using D3's `format` function, converting numeric values to abbreviated strings like "B" for billions. The chart includes interactive tooltips via SVG `<title>` elements, and styled ticks and marks with custom CSS classes.

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Question 1.2

This visualization displays the populations of the top 20 countries in 2010 as a horizontal bar chart, using a linear x-scale for population values and a banded y-scale for country names. The chart loads CSV data from a GitHub repository and renders bars as SVG rectangles with native tooltips. Built with React and D3 v5, it uses `scaleLinear`, `scaleBand`, `csv`, and `format` to process data, compute scales, and format tick labels. The axes are custom React components that generate `line` and `text` SVG elements.

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