Post🐼 Pandas Tip df. info() vs df.describe()

🐼 Pandas Tip df. info() vs df.describe() Before analyzing a dataset, understand what’s inside it. 🔹 df. info() → Dataset structure • Columns & data types • Non-null values • Memory usage 👉 Great for spotting missing values and incorrect data types. 🔹 df. describe() → Statistical summary • Count, mean, std • Min, max & quartiles 👉 Useful for understanding distributions and spotting potential outliers. 💡 Pro Tip: Use both at the start of your EDA to quickly understand your dataset before modeling or visualization. Small Pandas habits → Better Data Analysis. 🚀