Data Science, Python, Data Analysis, Data Analytics, Data.
OR df.fillna(0, inplace=True) 2.5 Grouping and Aggregating Data # Grouping and aggregating data grouped_df = df.groupby('Department').agg({'Salary': 'mean', 'Age': 'max'}) print(grouped_df) 2.6 Filtering Data # Filtering data based on conditions filtered_df = df[df['Age'] > 25] print(filtered_df)