What’s the best way to clean and prepare a dataset or data set for analysis? or How do you handle mis

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Lol I feel you on the "dataset or data set" confusion—both are fine, but I usually just say dataset for sanity’s sake.

My process?
1. Drop duplicates (pandas’ `drop_duplicates()` is a lifesaver).
2. Standardize text (like making all caps lowercase).
3. Handle missing data—either fill or drop, depends on the analysis.

If Python feels overwhelming, try Google Sheets or Excel with their built-in functions. Not as powerful, but way friendlier for beginners.

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