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📊 Data Cleaning Cheat Sheet (SQL + Python)
Clean data is the foundation of accurate analysis. Master these essential techniques:
🔹 Missing Values
• SQL: IS NULL, COALESCE()
• Python: isnull(), fillna()
🔹 Remove Duplicates
• SQL: SELECT DISTINCT
• Python: drop_duplicates()
🔹 Data Formatting
• Fix data types, standardize dates, trim & clean text
🔹 Outlier Detection
• Use the IQR method to identify extreme values
💡 Tip: Data professionals spend most of their time cleaning data. Master this skill to improve analysis and build reliable models. 🚀
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