Dealing with messy data
Måns Thulin · 2024
…or, put differently, welcome to the real world . Real datasets are seldom as tidy and clean as those you have seen in the previous examples in this book. On the contrary, real data is messy. Things will be out of place and formatted in the wrong way. You&s;ll need to filter the rows to remove those that aren&s;t supposed to be used in the analysis. You&s;ll need to remove some columns and merge others. You will need to wrestle, clean, coerce, and coax your data until it finally has the right format. Only then will you be able to actually analyse it.