Software Development·v1.0.0·JayRHa/AgentSkills

Pandas Data Cleaning

Cleans messy tabular datasets in pandas end-to-end — fixing dtypes, parsing dates and numbers, standardizing text, handling missing values, removing duplicates, detecting and treating outliers, and reshaping wide/long into tidy data. Use this skill when the user asks to "clean this CSV/Excel/dataframe", "fix data types", "handle missing values / NaNs", "remove duplicates", "deal with outliers", "standardize column names or categories", "parse dates", "melt/pivot/reshape", or to build a reproducible cleaning pipeline before analysis or modeling.