The following information has been collected through a survey from 10 bank's customers that are organized in a data table format as below:

ID	Gender	Date of Birth	Income	Loan	Loan Type	Marital Status	Kids
1	M	12/5/1970	$50,200	$5,000	Mortgage	Single	Y
2	M	15 Jan, 1975	$60,500	$0		Married	Yes
3	Male	1/13/1979	-$65,000	$1,000	Student Loan	Sing.	No
4	F	1/1/1912			Car Loan	Married	Don't Know
5	F	15/1/1975	$60,500	$0			Y
6	M	9/10/1942	NA	$55,000	Mortgage	M	N
7	M	2/27/1856	$300,000	$50,000	Don't Know	S	Y
8	Female	4/4/1980	$55,000	$0	Mor.	Single	N
9	M	16/16/1999	$35,000	$20.000	Line of Credit	S	NO
10	F	14/08/1973	$95,000	$33,000	Mortg.	Married	NO

Required:

1. Identify with a brief explanation the possible error, if applicable, in each raw dataset
2. Prepare the data (cleansing) in a table presented below (fill up the table using as many rows as required and ignore other rows)
3. Explain how the data should be preprocessed (data wrangling)