Previously we saw that the is.na() function is able to detect both NA and NaN values. In the previous procedure, we removed both. If we analyze the original version of the data frame we can still see some NaN values:
> SampleData name gender age right wrong1 Emma F 24 80 202 Liam M -19 NA 473 Olivia 32 75 254 Noah M 15 60 405 Ava F 18 45 556 Mason M 21 54 467 Isabella F 28 -19 858 Lucas M 30 13 879 Sophia F 26 NaN 3010 Elijah M 100 98 211 Mia F 22 5 9512 Oliver M NA NaN 21
The presence of the NaN value is evident. What does this symbol represent? NaN is a symbol indicating that the result of a numeric operation was executed on invalid operands and therefore did not produce any result. Examples are the division by zero ...
