Hello everyone. Thought of sharing the workaround taken for missing values not represented as NA.
I was trying to figure out the NA’s in the dataset and post initial import I kept getting 0 TRUEs for is.na() and the dataset did have several missing values. Screenshot was also provided in the workshop tutorial. I realized that R did not convert the missing values to NA.
I found the following answer on stack overflow that helped me get the NAs:
test <- read.csv(“test_2AFBew7.csv”, header=T, na.strings=c(""))
Thought it might be helpful for someone who didnt know this.