Working with messy data sets is a common challenge.

Cleaning messy data is like untangling headphone wires - time-consuming but necessary! I rely on the dynamic duo of Python libraries like Pandas and Numpy to whip data into shape for smooth analysis. How do you tackle your data cleaning dilemmas?

I used to do it on excel.

OpenRefine is really helpful for cleaning data. It can remove duplicates and fix errors