Question 1.2

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Last edited Oct 22, 2024

Created on Oct 22, 2024

This example shows a horizontal bar chart ranking the top 20 countries by their 2010 population, using a logarithmic-free linear scale from zero to the maximum value. The React code with D3 v5 utilities loads population data from a CSV file, maps it with `scaleBand` and `scaleLinear`, and renders the chart as an SVG with blue tick lines, green bars, and tooltips formatted in billions. The axes and marks are built from custom ES6 modules, with the x-axis labels formatted via `format('.2s')` and the y-axis listing country names.

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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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Question1.2

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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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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Activity6_Question1.2

This example displays a horizontal bar chart of the top 20 countries by population in 2010, with countries categorized along the vertical axis and population scaled along the horizontal axis. The chart is built with React and D3 v5, using `scaleBand` for the categorical axis, `scaleLinear` for the numeric axis, and SVG `<rect>` elements as the primary visual marks. Interactive tooltips show the population value for each bar via SVG `<title>` elements. Data is loaded from a remote CSV file using D3's `csv` function, and labels are formatted using the `format` API.

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QUESTION-1.2(TASK-1)

This example displays a horizontal bar chart of the top 20 countries by 2010 population, with bars sorted in descending order and labeled on the y-axis. The visualization uses React with D3 v5 scaleBand and scaleLinear for positioning, while CSV data is fetched from a GitHub raw URL. SVG rendering is handled through React components (AxisBottom, AxisLeft, Marks), with axis ticks styled via CSS and formatted using D3’s format('.2s') to abbreviate values in billions.

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question 1.1

This example shows a horizontal bar chart ranking the populations of ten countries in the year 2000, using a dataset loaded via `d3.csv`. Green rectangles (`<rect>`) represent population values on a linear scale, with countries on a band scale and a formatted tick axis converting values to billions. Built with React and D3 v5, it uses `scaleBand`, `scaleLinear`, and `max` from D3 to compute scales, while `AxisBottom`, `AxisLeft`, and `Marks` are local ES6 modules rendering SVG elements. The chart includes a loading state and SVG tooltips via `<title>` elements.

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91% match

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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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