o size limitations, each year of data is stored on a separate file under the name <code>coronavirus_</code> + year. To load all the files, we will use the below <code>for</code> loop to pull the corresponding files from 2020 to 2023. Since the files are being loaded from a URL we will use the <code>download</code> function and load the files with the <code>CSV.File</code> and transform it to a <code>DataFrame</code> with the <code>DataFrame</code> function:</p>
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