2. Handling Missing Value: a) Replace missing value of salary,age column with mean of that column.

 from pandas import *

df=read_csv("data.csv")

print("Missing values:")

print(df.isnull())

print("...................................................")

df=df.fillna(0)

print(df)

print("...................................................")

mean_age=df['Age'].mean()

print("Mean of Age: ",mean_age)

print("...................................................")

mean_salary=df['Salary'].mean()

print("Mean of Salary: ",mean_salary)

print("...................................................")

df['Age'].fillna(mean_age,inplace=True)

df['Salary'].fillna(mean_salary,inplace=True)

print(df)