Loading and Parsing Coronavirus Data

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Loading and Parsing Coronavirus Data

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Last edited Mar 10, 2023

Created on Mar 10, 2023

Forked from Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse a global coronavirus deaths time-series dataset. It fetches CSV data from the Johns Hopkins CSSE GitHub repository using the `d3.csv` method, which returns a Promise. After loading, the program computes and displays summary statistics—the file size in kilobytes, the number of data rows, and the number of columns—within a large HTML `<pre>` element. The visualization uses D3 v5’s `csvFormat` to calculate the byte length of the formatted data, highlighting a straightforward data-processing workflow without any graphical chart.

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A program that loads and parses some CSV data: CSS Named Colors.

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