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Fork of Question 1

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Sshivakumarganji@my.unt.edu
Last edited Apr 5, 2024
Created on Apr 5, 2024
Forked from Question 1

This example shows a horizontal bar chart of population data for ten countries in the year 2000, with each bar’s length encoded by population value and country names on the y-axis. It uses React components to render SVG marks and axes, with d3.scaleBand for the categorical y-axis and d3.scaleLinear for the quantitative x-axis. The code fetches CSV data via d3.csv, formats tick labels with d3.format, and displays hover tooltips via SVG `<title>` elements. The visualization demonstrates a clean, reusable component-based architecture for building D3 charts within React.

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A demonstration of how to start using D3 version 6.

MIT Licensed

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Fork of Question 1.2

This example displays a horizontal bar chart of population data for 20 countries in 2010. The visualization uses React with hooks (useState, useEffect) to load and parse CSV data via the d3.csv method, then renders SVG rectangles scaled with d3.scaleLinear and d3.scaleBand. Custom React components (AxisBottom, AxisLeft, Marks) generate the axes and bars, with D3’s format helper providing abbreviated tick labels like “1.5B” and native SVG <title> elements for tooltips.

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Fork of question 1

This horizontal bar chart displays the population of ten countries in the year 2000, sorted from the largest to the smallest population. The visualization uses D3 v5 scales (`scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis) within a React component, with SVG rendering for the bars. Data is loaded asynchronously from a CSV file via D3's `csv` utility, and hovering over a bar reveals its population value in billions using a title tooltip. The chart’s axes are customized with tick lines in blue and formatted labels.

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Fork of QUESTION 1 (2)

This bar chart displays the 2010 population for 20 countries, using horizontal bars to compare values on a linear scale, with the y-axis listing each country’s name. Built with React and D3 version 5, the visualization uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the numeric x-axis. The code defines custom `AxisBottom`, `AxisLeft`, and `Marks` components that render SVG rectangles and tick lines, with a `d3.format` function converting large numbers into a readable "B" suffix for billions. The data is loaded asynchronously via `d3.csv` from a GitHub-hosted CSV file, and the SVG output is styled with inline CSS classes for ticks and marks.

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Fork of Question_1

This fork of Question_1 shows a horizontal bar chart comparing the populations of ten countries in the year 2000. It uses React with D3 v5 modules such as `scaleBand` and `scaleLinear` to map data from a CSV file loaded via `d3.csv`. The SVG rendering includes bottom and left axes, with a custom tick formatter converting values like "G" to "B" for billions. Tooltips display the formatted population values on hover.

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Fork of Question1.2

A bar chart displays the 2010 population of 20 countries, sorted by country name on the y-axis and population on the x-axis. The visualization loads data from a remote CSV via `d3.csv`, converts population values from thousands, and renders horizontal bars using React and SVG. `d3.scaleBand` and `d3.scaleLinear` position bars, while custom `AxisBottom` and `AxisLeft` components generate ticks with `d3.format` for abbreviated axis labels. Hovering reveals tooltips via SVG `<title>` elements.

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Fork of Activity_8_Question-1.1

This example shows a horizontal bar chart ranking the populations of ten countries in the year 2000. The chart uses D3 scales (scaleBand and scaleLinear) to position bars and axes, with React components handling the SVG rendering. Data is loaded from a remote CSV file via d3.csv, and tooltips display formatted population values using d3.format.

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Question 1.2

This example displays a horizontal bar chart of population data for twenty countries in 2010. The visualization uses React with SVG rendering, while D3’s scaleBand and scaleLinear handle the categorical and linear axes, respectively. The code loads CSV data from a GitHub repository using d3.csv, applies a custom SI format to abbreviate population values, and includes tooltips via SVG title elements. Blue tick lines and green bars are styled through CSS.

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question 1

This example visualizes the population of ten countries in the year 2000 using horizontal bar marks. It loads data from a remote CSV via the d3.csv API within React, slicing the dataset to the first ten rows. The React implementation uses d3.scaleBand for the categorical y-axis and d3.scaleLinear for the quantitative x-axis, with SVG rectangles drawn through the Marks component. Rendered as an SVG, the chart includes labeled axes, a custom tick formatter that converts values to billions, and tooltips using SVG `<title>` elements.

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