Apologies if this is a duplicate, I've searched high and low and cannot find something that works for me. I'm also quite new to R so hope I'm explaining myself correctly.

I have a dataset on video game data that looks like this

```
Game          Platform    Year of Release   Genre

Wii Sports    Wii          2006             Sports
Wii Sports    Wii          N/A              Sports
Wii Sports    Wii          2006             Sports
Wii Sports    Wii          N/A              Sports
Wii Sports    Wii          2006             Sports
Wii Sports    Wii          2006             Sports
Wii Sports    Wii          N/A              Sports
Wii Sports    Wii          2006             Sports

```

I'm trying to remove the rows with the N/A values from the Year of Release column. For a while I was trying things like na.omit() etc, but this did not work. I then realised the N/A is baked into the original .csv, so this could make R treat them as strings. I tried the grepl function then and this also did not work. Would anyone have any ideas?

If you need any further information let me know.

Thanks!

EDIT: The actual dataset is freely available here, I should probably have linked this originally:
<https://www.kaggle.com/rush4ratio/video-game-sales-with-ratings?select=Video_Games_Sales_as_at_22_Dec_2016.csv>

If anyone is able to remove the rows with N/A values from Year\_of\_Release column of this dataset and explain how they did it I would very much appreciate it, thanks again!