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Question1(2)

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Nnsairitwikreddy@gmail.com
Last edited Apr 10, 2024
Created on Apr 10, 2024
Forked from Hello VizHub

This horizontal bar chart shows population figures for 20 countries in 2010, with each bar’s length representing the population value and country names listed on the vertical axis. The visualization uses React components to render SVG elements, with d3.scaleBand for the categorical y-axis and d3.scaleLinear for the numeric x-axis. Population values are formatted using d3’s format function, converting units to billions with the letter B. Data comes from a CSV file loaded via d3.csv, and hover tooltips display the exact formatted population using SVG title elements.

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A demonstration of how to start using D3 version 6.

MIT Licensed

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Question 1 part 2

This bar chart displays the population of 20 countries in 2010, with countries listed on the vertical axis and population values on the horizontal axis. The visualization uses React components to render SVG elements, with d3.scaleBand and d3.scaleLinear for positioning and scaling. Data is loaded asynchronously from a CSV file via d3.csv, and tick formatting converts large numbers using d3.format. The bars include native SVG title elements for tooltips showing the exact population values.

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Activity_6-Question-1.2

This horizontal bar chart shows the population of 20 countries in 2010, with each bar’s length representing total population and country names listed on the y-axis. The visualization uses React with D3 v5 scales (d3.scaleBand and d3.scaleLinear) to position bars and axes, rendering to SVG. Population values are loaded from a remote CSV file via d3.csv, formatted as billions using d3.format, and displayed with interactive tooltips via SVG `<title>` elements. The chart includes custom styled axis ticks and a labeled x-axis.

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Question 2

This bar chart visualizes the population of 20 countries in 2010, sourced from a CSV file. The chart uses React with SVG rendering, leveraging D3 v5 APIs like `scaleBand` and `scaleLinear` for positioning. Horizontal bars are drawn with `rect` elements, with axes generated by custom components using D3’s `ticks` method. Population values are formatted with `d3.format`, converting values to billions, and a native SVG `<title>` element provides tooltips on hover.

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Question_1(b)

This visualization shows the population of 20 countries in the year 2010 as a horizontal bar chart. The bars are rendered as SVG rectangles using React components, with the x-axis scaled linearly and the y-axis using a band scale for country names. The code uses D3 v5’s `scaleBand`, `scaleLinear`, `max`, and `format` for axes and tick labels, while the dataset is loaded via `d3.csv` from a GitHub URL. A simple tooltip is provided through SVG `<title>` elements showing the formatted population value.

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question1.2

This example displays a horizontal bar chart of population data for 20 countries in 2010. The visualization uses React with D3 v5 scale functions, specifically `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. The bars are rendered as SVG rectangles, with axes created through custom components that map D3 scales to JSX elements. The chart loads CSV data from a GitHub gist, formats population values using the D3 `format` function, and includes a tooltip showing the formatted value for each bar.

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Question 1.2

A horizontal bar chart displays the populations of 20 countries in 2010, sorted alphabetically by country name. Using React with D3 v5 modules, the visualization employs `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis, with SVG rectangles as marks. Population values are transformed from the CSV data by multiplying by 1000, and axis labels use `d3.format` with abbreviated notation, replacing "G" with "B" for billions.

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Question 1

This chart displays the populations of ten countries in the year 2000, sorted vertically with horizontal bars whose lengths represent population values. The visualization uses React to render SVG elements, with D3 scales and format utilities, specifically `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Data is loaded from a CSV source and processed before display. Axis labels and tick marks are generated via custom React components, with population values formatted in billions using the `format('.2s')` API.

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Question 1.2

This chart shows the populations of 20 countries in 2010 as horizontal bars. React and D3 v5 are used to render an SVG visualization, with a band scale mapping countries to the y-axis and a linear scale for population values. Data is loaded from a remote CSV using `d3.csv`, and D3’s `scaleBand` and `scaleLinear` drive the layout, while `d3.format` with the `.2s` specifier formats tick labels and tooltips. Axes and marks are defined as React components, with custom tick styling for lines and text.

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