@alimanchester
كالعادة شرح جميل ومحلل عميق وقدرة على التدريس والتعليم رائعة As usual, you are a great analyzer and teacher
@arnold9698
Thank you very much! I am trying to get a head start before the module at my university starts, and this will certainly save me much-needed time later!!
@gaziozhan6438
Thank you for the instructions about the pipe operator . One comment I should like to add is that "command + shift + M" should be "Ctrl + shift + M" to insert the pipe operator %>%.
@DayoOluwakemi
Your instructions are very understandable and detailed. I have gained a great deal of knowledge from your lessons. Thank you very much 🙏
@Nadiajavandel
I am watching all the R learning videos from start to finish. I have learned so many things, Thank you so mush🙏
@deyvismejia7529
I learned so much! Just started using dplyr a couple days ago and wanted something comprehensive on basics. So much to learn, it's not too difficult either.
@mycountryfarm
This has been really helpful. Thanks
@user-se9uk2py5k
Very clear and helpful videos. Thank you very much! Muchas gracias!!! 😊
@KKmovesToMars
great video! I am so grateful you have taken the time to put these videos together! love your approach. Thank you, this is really great! I am a fan (as you can probably tell by now)
@skriesten
Really enjoy your presentations. Being new to R this has been really helpful
@hirozopel
Just wanted to say this was awesome. Great energy and instruction. You got yourself a new sub today!
@alisacastillo3445
Thank you so much!
@ahmedelkholy1323
as usual very amazing useful quick Revision thank you so much sir
@arebuissa7547
Thank you very informative and easy to understand the basics
@NikkiShah-ky5km
Very clear and helpful. Thank you for taking the time to create great content!
@jorgecepe
thank you very much! very good material
@mercylearns
Thank you so much!! it's so useful; Even I took stat course in my university, the professor never taught us how to wangle data! This video is so useful!🤩
@KaiqueStorck
Amazing vídeo, thanks!
@almaisaks
Data wrangling with R in 27 minutes - subset y row with filter - subset by column with select - reorder row with arrange - add or modify columns with mutate - other small verbs - grouped summaries with group
@EquitableEquations