Separate and Unite - manipulate your data with R programming

If you're working with data or learning to do statistical analysis using R programming, then this is a short tutorial that will help you use and understand the seperate and unite functions as part of the tidyverse set of packages. So if you're a budding data scientist, or statistician or doing some sort of quantitative analysis for research, then check out this short tutorial about R programming.
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[@RProgramming101]

Get my FREE cheat sheets for R programming and statistics (including transcripts of these lessons) here: www.learnmore365.com/courses/rprogramming-resource-library

[@Finance_Fun_]

Greg, thank you from Ukraine, I’m the first year master’s program student, and we learning R for econometrics a several months already. So I watch your video since October and it’s very helpful! (Even when there is no electricity in our city, I downloaded your lessons to my IPhone, and enjoying it)😅
I want to say, that you are the Hero in R and Statistics, your lessons super duper easy and motivate to learn this beautiful language and data analysis at all. 👍👍👍
You deserve Nobel Prize in education field!!!! Thank you Professor, you change the world for the best! If only you created an University it would be the best one in the World, I’m sure ! 👏👏👏

[@emmanuelonuoha3642]

I keep coming back to your videos, it for me is the gold standard for R tutorials. Thanks.

[@rain66275]

Great video! One small mistake though. The 1900s would be the 20th century. You could easily fix the mistake by mutating the century column with +1.

[@elizabethpalu2447]

I love the fact that your vidoes are simple and succint. Thank you

[@kottelkannim4919]

"separate" is superseded by 'separate_wider_position"
gapminder %>%
separate_wider_position(cols = "year",
widths= c(year = 2,century=2) )

[@DB-kv3wu]

Awesome!❤

[@avestaabdulrahman6549]

Thank you! Great work as usual

[@RProgramming101]

Happy to hear that! You are most welcome!

[@bbluca94]

Thank you as usual. Would be amazing a tutorial on survival analysis using r!

[@RProgramming101]

Thank you for your feedback - cheers!

[@znowstorm]

Gold as usual

[@ButterfaceGMusicSlump]

you're a gift!

[@RProgramming101]

Happy to help! Thank you for the feedback.

[@mugomuiruri2313]

Nice

[@Faycal59]

Thank you well animated

[@RProgramming101]

Thank you for the feedback.

[@mohammadkhajamohiddin3523]

It's really useful

[@RProgramming101]

Glad to hear that! Thanks for the great feedback

[@korman9872]

Tx sir, really usefull

[@RProgramming101]

So nice of you - Thank you for the feedback!

[@wackojacko1997]

'separate()' is great and I have used it before. I didn't know about 'unite()', however, and I'm curious the use case for it where it would be preferable to something like 'mutate(var = paste(col1, col2, sep = "")'. Maybe its syntax is shorter, but I'm frequently doing 'mutate()' anyway, and I would normally just chain that into my call. Thoughts?

[@reecebinx4191]

How do you save the results from separate into the table?

[@gianluca.pastorelli]

After this, I can say goodbye to the "text to column" function in excel

[@RProgramming101]

Thanks for the great feedback!

[@machivaldemon]

first