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.

I use Python tools like Pandas for cleaning data. They make it easy to fix problems and get the data ready for analysis.

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

I use SQL to clean data. It helps me filter and organize data quickly.