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🧹 Data Cleaning Made Simple | Python Pandas Tutorial for BeginnersDescription:
Messy data = messy results. 😅 In this beginner-friendly tutorial, we show how to clean data step by step using Python Pandas: Detect missing values with: df.isnull().sum() Fill missing values with: df.fillna(0) Remove duplicates with: df.drop_duplicates() Visualize the transformation: Messy table → Neat, clean dataset 📊 💡 Analogy ...
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