Julia for Data Science MEAP V03 by copyright-2023-manning-publications.html

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Output data contains default information of customers from different banks. A customer may be reported as default from different banks at the same date. And this is a duplicate information for us.

After importing input and output data, one thing that should be checked is duplicate records. Removing duplicates is important because they can cause bias in the data and also, they increase the computation cost.

In Julia we can remove duplicates using the unique() function or its mutating version. The first argument of the function is the data frame we want to work on. Optionally, we can provide the column names to check for uniqueness.

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