Group by and Summarise functions in R programming - use the tidyverse package to wrangle your data

If you are learning to work with data then being able to structure, manipulate and summarize your data is extremely important. This forms part of what we call descriptive statistics. the group_by() and summarise() functions are part of the tidyverse set of packages. So if you're an aspiring data scientist or statistician, or you're doing a PHD or masters degree and need to be able to do quantitative analysis - then this video is for you.
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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

[@kaelx1233]

Thank you Greg, we love you ❤

[@enricopolazzo33]

Your videos helped me make the jump from SAS. Very liberating!

[@RProgramming101]

Wow - what a nice thing to say (thanks!!)

[@glennhighcoveexploresstuff]

Always a favorite to watch, you make using R look easy and approachable.

[@RProgramming101]

I appreciate that! Thanks, cheers!!

[@gianluca.pastorelli]

Great video as always 👏 One important detail that I think it's worth stressing is that the summarise() function doesn't just create new column headings, but new actual variables that can be used for further calculations/operations. Looking forward to the next tutorial!

[@sarab2624]

Thank you! This video was so helpful in explaining these functions.

[@pumaman1504]

THANK YOU, my data looks amazing right now

[@abubakarbashir7951]

Great video as usual, thank you.

[@negusuworku2375]

Thank you. excellent. Very helpful.keep it up

[@kaminari1096]

Thank you!

[@josephkimote661]

Very helpful, happy following

[@RProgramming101]

Thanks for the great feedback!

[@MB-qr3oh]

Hi, the video is very clear, thank you! I have a question about the function "summarise": ist it possible to insert a goodness of fit check? I would like to group my data and then for each group values values of a variable check if they are distributed according the normal (or weibull) distribution. Would it be possible with the function "summarise" or is there any other way to get it? Thank you in advance!

[@sofiamabrouk3376]

thank you!

[@RProgramming101]

Most welcome, cheers

[@korman9872]

Tx sir

[@petercourtney7125]

I've been using R for months and this video made me think I didn't need to ungroup() :,,,(

[@AbdullahN8]

Where can I find the video about missing values? Thanks a lot for this great channel ☺️

[@hazema.6150]

Here you go brother, This one he focused fully on missing values kzbin.info/www/bejne/qYakfpx3frqbmas And this he mentioned it as one of the cleaning data tasks: kzbin.info/www/bejne/qYeYnap3f5yppLM

[@AbdullahN8]

@@hazema.6150 Many thanks

[@jigmetenzin7596]

How do we rename the column name or add alias to it automatically in R?

[@bishalkshetri3652]

easy peasy lemon squeezy way of teaching

[@Verba1Ninja]

How would you include std too?

[@42marthacu]

I keep doing group_by and I keep getting just one average and its by column not group.

[@arturotheburro]

Hey, I was having the same problem, and then I re-started my computer, which made me re-install R, and now it works fine… I don’t know if this will work for you, but thought I’d let you know

[@oscarsibanda9454]

Same issue here. Did you manage to sort your issue out?

[@mayurwabhitkar2041]

i used this command results are different what is the problem View(mm) > msleep %>% + drop_na() %>% + group_by(vore) %>% + summarise(avgtotsleep= mean(sleep_total), maxremslepp=max(sleep_rem)) # A tibble: 4 x 3 vore avgtotsleep maxremslepp 1 carni 13.3 3.2 2 herbi 9.52 3.4 3 insecti 14.0 3.9 4 omni 12.2 4.9

[@mugomuiruri2313]

The analyst

[@user-ru3rk1sw2y]

Jokes

[@Sports_Encyclopedia]

the only thing I don't like about you is you make so less content kindly share at least 2-3 videos per week, your channel will also grow and you can do it as a full time high paying job