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Use Dplyr to filter

df1 %>% filter(package_req_id=='Y9261053')


df %>% 
    filter((exp == 1 & value > 0) | (exp == 2 & value < 0))
    
finalDf %>% filter(package_req_id=='Y8804263' | package_req_id=='Y7919294')

##u will not get useless NA rows like this