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{"sheet":"Sheet1","index":0,"n_rows":10,"n_cols":8,"rows_kept":10}
[0,"First Name","Last Name","Gender","Country","Age","Date","Id"]
[1,"Dulce","Abril","Female","United States",32,"15/10/2017",1562]
[2,"Mara","Hashimoto","Female","Great Britain",25,"16/08/2016",1582]
[3,"Philip","Gent","Male","France",36,"21/05/2015",2587]
[4,"Kathleen","Hanner","Female","United States",25,"15/10/2017",3549]
[5,"Nereida","Magwood","Female","United States",58,"16/08/2016",2468]
[6,"Gaston","Brumm","Male","United States",24,"21/05/2015",2554]
[7,"Etta","Hurn","Female","Great Britain",56,"15/10/2017",3598]
[8,"Earlean","Melgar","Female","United States",27,"16/08/2016",2456]
[9,"Vincenza","Weiland","Female","United States",40,"21/05/2015",6548]