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Question 2

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JJaiyaGhanta@my.unt.edu
Last edited Nov 4, 2024
Created on Nov 4, 2024

This area chart displays yearly values as a single filled region, showing the trend of data over time. The visualization uses D3.js v6 with a linear scale for both axes and an area generator to create the steelblue path. Data is loaded from a GitHub Gist CSV file and rendered as an SVG, with axis labels added using d3.axisBottom and d3.axisLeft.

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question 1

This example visualizes time-series data as a filled area chart, displaying how a numeric value changes over time on a steelblue region. The chart is rendered as an SVG using D3 v7, with a date-parsed CSV dataset loaded via a URL. The code employs D3's `scaleTime`, `scaleLinear`, `area`, `axisBottom`, and `axisLeft` APIs to construct the axes and the area path, which uses a linear curve. The data is fetched and parsed with `d3.csvParse`, and the layout includes a responsive SVG container with labels and legends.

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This area chart visualizes yearly data from a CSV file, showing how values change over time. It loads the dataset via `d3.csv` from a GitHub Gist, parses the year and value columns, and renders a filled steelblue area using the `d3.area` generator. The chart uses linear scales for both axes, with an x-axis formatted to show integer years and labeled "Year," while the y-axis is labeled "Value." Axes are drawn using `d3.axisBottom` and `d3.axisLeft` within an SVG container, demonstrating basic data loading, scaling, and shape generation in D3 v7.

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