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I think a good example of a messy dataset could be to download a csv file from the World bank catalogue (not using the package WDI because it provides already cleaned data). We could use:
filtering to keep countries only (remove aggregates)
pivoting because it's one year per col
selecting, renaming and relocating for diverse things
Basically, an article demonstrating how the package (to a limited extent) can do similar things as
{dplyr}
+{tidyr}
workflow.The text was updated successfully, but these errors were encountered: