Data cleaning focuses on removing erroneous data from your data set. In contrast, data-wrangling focuses on changing the data format by translating “raw” data into a more usable form.
Data cleaning focuses on removing erroneous data from your data set. In contrast, data-wrangling focuses on changing the data format by translating “raw” data into a more usable form.