Using the drop argument in count and group_by with factors to include missing data (CC240)

[@garc1138]

Excellent!! From Perú 🇵🇪🇵🇪 Thanks for this video. 👏👏

[@arunrajesh5137]

Learnt a new thing in dplyr. Not aware of it before. Thanks for sharing

[@Riffomonas]

Thanks for watching Arun!

[@rayflyers]

I didn't know about the .drop argument, so thank you for the info. Whenever I've needed to plug in zero for missing values, I've been using the coalesce function, which is analogous to the if_else approach you mentioned at the beginning.

[@Riffomonas]

Cool - thanks for watching Ray!

[@PhilippusCesena]

I didn’t know .drop argument, thank you!

[@kylegrealis551]

This was a great video in demonstrating how to use the `.drop` argument. Now for another question: what package(s) are you using to insert html/css styling within the `labs()` argument for the title? thank you!

[@Riffomonas]

that's with element_markdown from the ggtext package. Slick eh?!

[@kylegrealis551]

@@Riffomonas you're not kidding! I watched the video Saturday, got to work today to modify some of the titles, but couldn't get it all the way. I appreciate it. my goal is to render "New Title Here (N = {nrow(dataset)})" but with the N italicized. all that happens right now is that

[@marcossahade9369]

CONGRATS FOR YOUR CLASSES - from Argentina (we live in the south hemisphere of the world )we should NOTchange the shonw year bacause we get the snow from april to september

[@Riffomonas]

That’s awesome!

[@hanswurst4728]

Cool to see .drop in action, but `tidyr::replace_na(0)` would have also been an option.

[@Riffomonas]

Thanks for the tip - I'll have to give that a shot. Stay tuned for this Thursday's episode where replace_na will make an appearance!

[@r-nik7276]

you are awesome