# this function removes rows matching the filter expression
data.01 <- mtcars
data.02 <- airquality
#task: remove all mpg > 20
data.01 #data.01 data before pop
data_pop_filter(data.01,mpg > 15) #computes and resaves to variable
#note: this is different from subset(data.01,data.01$mpg > 15)
data.01 #modified data after pop based on filter
#task: remove all multiple. remove all elements where Month == 5 or Solar.R > 50
data.02 #data.02 data before pop
data_pop_filter(data.02,Month == 5 | Solar.R > 50) #computes and resaves to variable
data.02 #modified data after pop based on filter
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