Python, Data Science, Data Analysis, Pandas, Data Analytics.
Identifying Missing Values: The isnull() method, combined with sum(), helps identify missing values in each column. missing_values = data.isnull().sum() 2. Handling Missing Data: At this point we start dropping rows/columns with missing values using dropna(). Next we fill missing values with a