Sorting the junk drawer
Real data is a junk drawer — missing entries, typos, wrong units. Cleaning is tidying it so every drawer holds what it should, before any analysis can be trusted.
Garbage in, garbage out
Data cleaning handles missing values, fixes errors, and standardizes formats. Insights are only as good as the data behind them.