🐼 Pandas Interview Question (Data Analyst)

Q. How do you find missing values in a Pandas DataFrame and count them column-wise?

✅ Answer

df.isna().sum()

Explanation:

isna() / isnull() detects missing values

sum() gives the count for each column

💡 Pro tip:

Total missing values in the DataFrame:

df.isna().sum().sum()

👍 React to this post if you want more daily interview questions on Pandas, SQL & Data Analytics. 🚀