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One thought on “Converting excellent spreadsheets to tidy data”

  1. Great post!
    It’s worth pointing out that making your data tidy is a generally useful process, i.e. it facilitates processing and visualization in other programming languages as well.

    In Python, for example, complex operations on DataFrames using the Pandas library are often much easier when the data is tidy. In addition, Seaborn, a Python library for plotting statistical data, can very easily reveal complex relationships between variables if the datasets are tidy.

    In summary, while it seems that tidy data concepts grew out of the R community, these concepts are equally valid in any data analysis pipeline.

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