These question must Use R programming Languages. Please give answer back in code

Country	Age	Salary	Purchased
France	44	72000	No
Spain	27	NA	Yes
Germany	30	54000	No
Spain	38	61000	N0
Germany	40		Yes
France	35	58000	Yes
Spain		52000	no
France	48	79000	Yes
Germany	50	83000	No
France	NA	67000	Y

• Read-in the Data. It is a synthetic dataset that shows customer information of a mortgage company.
• Generate summary of missing values, and inconsistent values for each of the features. Your script should generate a table similar to the one shown below:

Features	Missing Values (MV)	% of MV (MV/960)	Inconsistency Values (IV)	% of IV (IV/960)
Country
Age
Salary
Purchased

An example of a missing value is NA in record 2 and the feature Salary. Another example of a missing value is for record 7 and the feature age.

An example of inconsistency is in record 10 and the feature purchased (Y for Yes).

• Handle the missing values. Specifically, estimate missing values of age by computing the feature mean grouped by country. Similarly estimate missing values of Salary by computing the feature mean grouped by country. You may also use the target feature for the missing value estimation. Please mention in your script what strategy do you to handle the missing values.
• Correct the data inconsistency issue. The target feature is a binary class (Yes and No). In the correct state of the date, however, it has 5 class labels (Yes, Y, No, no, and N0). Correct this problem by converting the values into the appropriate class labels (Yes and No).