@amjad.sahi
I understood what you are mentioning but if the data is more in the excel , it will be time taking to change all the values
Is there a way if we can handle it in the sheet creation itself , can we apply style or something ??
I have a JSON OBJECT which will be converted to EXCEL , if I can somehow manage to maintain the DATA TYPE of the column while creating the sheet then it will be solved right ??
Example JSON ::
[
{
“mongo_id”: “5af05801b87fd”,
“user_id”: “4224”,
“employee id”: “Naveen_09”,
“unique user id”: “4224”,
“first name”: “Vamsi8”,
“last name”: “Asif740”,
“company”: “Naveen AT”,
“gender”: “Male”,
“current fixed ctc”: “30000000”,
“marital status”: “Married”,
“date” : “2022-01-01”
},
{
“mongo_id”: “5af05807ba4f9”,
“user_id”: “4244”,
“employee id”: “Naveen_29”,
“unique user id”: “4244”,
“first name”: “Vamsi28”,
“last name”: “Asif760”,
“company”: “Naveen AT”,
“gender”: “Female”,
“current fixed ctc”: “30000000”,
“marital status”: “Widowed”,
“date” : “2022-02-01”
},
{
“mongo_id”: “5af05810d2653”,
“user_id”: “4274”,
“employee id”: “Naveen_59”,
“unique user id”: “4274”,
“first name”: “Vamsi58”,
“last name”: “Asif790”,
“company”: “Naveen AT”,
“gender”: “Male”,
“current fixed ctc”: “30000000”,
“marital status”: “Single”,
“date” : “2022-03-01”
},
{
“mongo_id”: “5af058134d77b”,
“user_id”: “4282”,
“employee id”: “Naveen_67”,
“unique user id”: “4282”,
“first name”: “Vamsi66”,
“last name”: “Asif798”,
“company”: “Naveen AT”,
“gender”: “Male”,
“current fixed ctc”: “30000000”,
“marital status”: “Committed”,
“date” : “2022-04-01”
},
{
“mongo_id”: “5af14cc9d8b8d”,
“user_id”: “9201”,
“employee id”: “Naveen_4835”,
“unique user id”: “9201”,
“first name”: “Abhi3834”,
“last name”: “Vamsi3834”,
“company”: “Naveen AT”,
“gender”: “Boy”,
“current fixed ctc”: “30000000”,
“marital status”: “LiveIn”,
“date” : “2022-05-01”
},
{
“mongo_id”: “5af14ccc9be57”,
“user_id”: “9205”,
“employee id”: “Naveen_4839”,
“unique user id”: “9205”,
“first name”: “Abhi3838”,
“last name”: “Vamsi3838”,
“company”: “Naveen AT”,
“gender”: “Male”,
“current fixed ctc”: “30000000”,
“marital status”: “Mingled”,
“date” : “2023-05-01”
},
{
“mongo_id”: “5af14ce00450a”,
“user_id”: “9233”,
“employee id”: “Naveen_4867”,
“unique user id”: “9233”,
“first name”: “Abhi3866”,
“last name”: “Vamsi3866”,
“company”: “Naveen AT”,
“gender”: “Girl”,
“current fixed ctc”: “30000000”,
“marital status”: “Widowed”,
“date” : “2023-07-01”
}
]