Making data usable for analysis is a critical part of data science. Practice transforming data to remove errors, highlighting or exposing relationships, and making it more useful for analysis. Go to Kaggle and pick a dataset that you’d like to tidy up, as you practiced in this lesson. Pick four things to clean in your data and build a notebook on Kaggle that shows your work as you clean the data.