Which data cleaning concept could help reduce the dataset to data from customers who were in NY$?$

Question $24$ options:

A$)$

data filtering

B$)$

data imputation

C$)$

data threshold values

D$)$

data de$-$duplication

E$)$

violated attribute dependency