🔍 Data Detective Academy

📚 Key Takeaways for Class

• Data types matter: Knowing if data is categorical vs. numerical changes how you analyze it
• Missing data is normal: Real datasets are messy—cleaning comes first
• Correlation ≠ Causation: Just because two things move together doesn't mean one causes the other
• Outliers need investigation: They might be errors OR valuable insights
• Sample size affects conclusions: More data usually means more reliable insights
• Context is everything: The same number can mean different things in different situations