I have JSON data as below. I would like to know how to deserialize JSON object to DataTable. Please check the below JSON string and advise how to do this.
{
"response":
{
"uri":"\/api\/junaid@khindia.com\/Gloves",
"action":"EXPORT",
"result":
{
"column_order":["AttendanceDate","DivCode","Division","DeptCode","Department","Section","CostType","Gender","Religion","EmpLevel","DegLevel","CurrentSection","EmployeeCode","EmployeeName","Strength","Presents","Absents","LayOffs","Weaving","Wallet","OutSide","PresentIn","PresentOut","AbsentIn","AbsentOut","LayoffIn","LayoffOut","Attendance","Working","LastUpDatedDate","Stage","AreaName","AreaDirection","AreaSerial","ImageURL","ShiftCode","ShiftTime","CurrentDepartment","CurrentDivision","C%_StaffOrWorker","C%_MajorDivision","M_Division","Worked_Hours","Worked_OtHours","Lateby","Earlyby","OverTime1","OverTime2","C%_OtherDivision","C%_ShiftFrom"],
"rows":[
["05/05/2022 00:00:00","AM","Leather Goods","MC","Bags","Production","Direct","Female","Hindus","Worker","Upto X","Arind","12519","SANGEETHA. M","1","1","0","0","0","0","0","1","0","0","0","0","0","P","Gloves","05/05/2022 20:15:00","","Arappakam","A ","-2","http:\/\/103.76.188.138:85\/EmployeePhotos\/12519.JPG","30","07:00 - 15:30","Bags","Bags","Worker","Bags","Leather Goods","6.28","2.5","103","0","150","0","Bags","2022-05-05 07:00:00"],
["05/05/2022 00:00:00","AM","Leather Goods","MB","Wallet","Production","Direct","Male","Muslims","Worker","Degree","Arind","12548","MD NAIMUDDEEN.R","1","1","0","0","0","0","0","1","0","0","0","0","0","P","Gloves","05/05/2022 20:15:00","","Kaspa","V ","17","http:\/\/103.76.188.138:85\/EmployeePhotos\/12548.JPG","30","07:00 - 15:30","Wallet","Wallet","Worker","Wallet","Leather Goods","7.08","1.5","55","0","90","0","Wallet","2022-05-05 07:00:00"],
["05/05/2022 00:00:00","AM","Leather Goods","MB","Wallet","Production","Direct","Female","Hindus","Worker","Upto XII","Arind","12567","SWETHA.P","1","1","0","0","0","0","0","1","0","0","0","0","0","P","Gloves","05/05/2022 20:15:00","","Melakuppam","A ","-4","http:\/\/103.76.188.138:85\/EmployeePhotos\/12567.JPG","30","07:00 - 15:30","Wallet","Wallet","Worker","Wallet","Leather Goods","7.13","1.5","52","0","90","0","Wallet","2022-05-05 07:00:00"],
["05/05/2022 00:00:00","AM","Leather Goods","MB","Wallet","Production","Direct","Male","Muslims","Worker","Upto V","Arind","12605","IRFAN AHMED.C","1","0","1","0","0","0","0","0","0","1","0","0","0","A","Gloves","05/05/2022 20:15:00","","Pernambet","V ","0","http:\/\/103.76.188.138:85\/EmployeePhotos\/12605.JPG","30","07:00 - 15:30","Wallet","Wallet","Worker","Wallet","Leather Goods","0","0","0","0","0","0","Wallet","2022-05-05 07:00:00"],
["05/05/2022 00:00:00","AM","Leather Goods","MD","Belts","Edge Inking","Direct","Male","Hindus","Worker","Upto X","Arind","12633","SIVAKUMAR.S","1","0","1","0","0","0","0","0","0","1","0","0","0","A","Gloves","05/05/2022 20:15:00","","Perumugai","V ","0","http:\/\/103.76.188.138:85\/EmployeePhotos\/12633.JPG","30","07:00 - 15:30","Belts","Belts","Worker","Belts","Leather Goods","0","0","0","0","0","0","Belts","2022-05-05 07:00:00"],
["05/05/2022 00:00:00","AF","Assembly","FA","Pre-Sewing","Applique Stitch","Direct","Male","Hindus","Worker","Upto X","Arind","12940","KULOTHUNGAN. G","1","1","0","0","0","0","0","1","0","0","0","0","0","P","Gloves","05/05/2022 20:15:00","PreSewing","Sathuvachari","V ","6","http:\/\/103.76.188.138:85\/EmployeePhotos\/12940.JPG","32","08:00 - 16:30","Pre-Sewing","Gloves","Worker","Gloves","Gloves","8","0","0","0","0","0","Gloves","2022-05-05 08:00:00"],
["05/05/2022 00:00:00","AM","Leather Goods","MD","Belts","Preparation","Direct","Female","Hindus","Worker","Upto X","Arind","11830","ASWINI","1","1","0","0","0","0","0","1","0","0","0","0","0","P","Gloves","05/05/2022 20:15:00","","Pillaiyar Kuppam","A ","-1","http:\/\/103.76.188.138:85\/EmployeePhotos\/11830.JPG","30","07:00 - 15:30","Belts","Belts","Worker","Belts","Leather Goods","8","0","0","0","0","0","Belts","2022-05-05 07:00:00"],
["05/05/2022 00:00:00","AP","Training","PA","Training","Training","Direct","Female","Hindus","Worker","Upto X","Arind","12957","NALINI.R","1","1","0","0","0","0","0","1","0","0","0","0","0","P","Gloves","05/05/2022 20:15:00","","Melvisharam","A ","-9","http:\/\/103.76.188.138:85\/EmployeePhotos\/12957.JPG","30","07:00 - 15:30","Training","Training","Worker","Training","Training","7.1","1.5","54","0","90","0","Training","2022-05-05 07:00:00"],
["05/05/2022 00:00:00","AM","Leather Goods","MA","Weaving","Weaving","Direct","Female","Hindus","Worker","Upto XII","Arind","12818","HEMALATHA.R","1","1","0","0","0","0","0","1","0","0","0","0","0","P","Gloves","05/05/2022 20:15:00","","Melakuppam","A ","-4","http:\/\/103.76.188.138:85\/EmployeePhotos\/12818.JPG","30","07:00 - 15:30","Weaving","Weaving","Worker","Weaving","Leather Goods","6.17","2.5","110","0","150","0","Weaving","2022-05-05 07:00:00"],
["05/05/2022 00:00:00","AM","Leather Goods","MD","Belts","Sample","Indirect","Female","Hindus","Worker","Upto X","Arind","11869","KALPANA.K","1","1","0","0","0","0","0","1","0","0","0","0","0","P","Gloves","05/05/2022 20:15:00","","Arappakam","A ","-2","http:\/\/103.76.188.138:85\/EmployeePhotos\/11869.JPG","30","07:00 - 15:30","Belts","Belts","Worker","Belts","Leather Goods","8","0","0","0","0","0","Belts","2022-05-05 07:00:00"]
]
}
}
}