Filtering can also be done using the %in% operator. For example, for the location filter, we can do owid %>% filter(location %in% c('Australia', 'Brazil', 'Canada', 'China', 'France', 'Germany')). Using the %in% just makes adding new filters without recalling the column variable if you want to later change something.
Yep. I’ve done this in other episodes. In the next episode we’ll do this without needing the filter function at all. I hope you’ll stay tuned for that episode!
@@Riffomonas Yes. I will. I came across the channel a month or so ago and since then I have watched almost all the videos available. You are a brilliant teacher.
very nice approach! makes a lot of sense to touch online data like that! I really appreciate coming home after a long day in the lab and watching your videos :)
Haha! I figure I owed you a coffee. This tutorial was a huge help! Not sure if you've tackled any videos on tidy r and their reshaping and the ins and outs of functions like separate_rows, but that's been where I've been spending my time these days. I know content creation can be a ton of work, so wanted to now that the it is much appreciated
