Post🧹 Data Cleaning in Python — Key Takeaway

🧹 Data Cleaning in Python — Key Takeaway 60–80% of a data professional’s time goes into cleaning, not modeling. 🔹 Understand structure 🔹 Explore before cleaning 🔹 Standardize formats 🔹 Handle missing data wisely 🔹 Review duplicates & outliers 🔹 Prepare data for use 💡 Clean data isn’t perfect — it’s usable.