Please, don't scrapp your own package! It's only because people develop, we have these opportunities. I never developed a single line myself 🙈 yet... Respect to you! And thanks for your encouraging words!
@@yuzaR-Data-Science Don't worry, now I can move on to the next idea. Code packages mostly for use by my employer (and myself), so when I get exposed to something like this it's like hitting the jackpot, days saved developing and start with next project in pipeline. Productivity at its best.
Glad it was helpful! If you liked Janitor package, you might love Deed Exploratory Analysis video. It's long, but I think, it's the most useful of all my videos to date. Cheers
Hey Yury, thanks for another great tutorial! Very useful information! \o/ I have one suggestion for you: since you presented the content in Rmarkdown with the output in the script panel, the panels in the right (Console - Plot) are not necessary; so, I would suggest you reduce their sizes in order to increase the font size in the Rmarkdown script to improve readability, which would be better, especially, to those ones watching the video in a smartphone.
You are completely right! I actually though about it, but then forgot anyway 🙈. I really appreciate the constructive feedback , Rafael!!! I am still learning to make videos and some of the things I can improve on, I don't even see. Thus, please, don't hesitate to say more. Cheers!
Thanks! It sure is! If you wanna find more good packages, have a look at my deep exploratory analyses video, it's a long one, but so far, I think the most useful one, because it features tons of useful packages, which you then go deeper into. And I also get the best feedback from viewers about it
just a question of a beginner: so is this package/its library better/more powerful than dyplr; and what would you suggest to do in order to learn/implement it into my daily workflow. i work on clinical data.
no, it's different, dplyr does other things. when you are a beginner, I strongly recommend the r4ds book. It's free and online... and much better then paid options.
After watching this I've scrapped my own package and did not even feel bad. Nice work Yury. Line 493 in your script says it all, thank you.
Please, don't scrapp your own package! It's only because people develop, we have these opportunities. I never developed a single line myself 🙈 yet... Respect to you! And thanks for your encouraging words!
@@yuzaR-Data-Science Don't worry, now I can move on to the next idea. Code packages mostly for use by my employer (and myself), so when I get exposed to something like this it's like hitting the jackpot, days saved developing and start with next project in pipeline. Productivity at its best.
Thanks that was helpful.
You’re very welcome! Hope the rest is helpful too. Thank you for watching!
So good. I didn't expect to get all this value from the video. Thank you sir!
Glad it was helpful! I think other videos I made later than JANITOR are also useful
You have no idea how much this will help me. Thanks for this great video!
Glad it was helpful! If you liked Janitor package, you might love Deed Exploratory Analysis video. It's long, but I think, it's the most useful of all my videos to date. Cheers
@@yuzaR-Data-Science I will definitely check it out. Thank you.
Thanks! a lot's of good information.
I am happy it was helpful! Thanks David!
Hey Yury, thanks for another great tutorial! Very useful information! \o/
I have one suggestion for you: since you presented the content in Rmarkdown with the output in the script panel, the panels in the right (Console - Plot) are not necessary; so, I would suggest you reduce their sizes in order to increase the font size in the Rmarkdown script to improve readability, which would be better, especially, to those ones watching the video in a smartphone.
You are completely right! I actually though about it, but then forgot anyway 🙈. I really appreciate the constructive feedback , Rafael!!! I am still learning to make videos and some of the things I can improve on, I don't even see. Thus, please, don't hesitate to say more. Cheers!
Really useful video, thanks!
Thanks mate!
Nice Video , Thanks
Glad you liked it! Cheers!
How about the duckdply package?
Hi, is the spelling correct? Because I can't find this one. What does it do?
Excellent
Glad it’s useful!
thanks! it is a great package!
Thanks! It sure is! If you wanna find more good packages, have a look at my deep exploratory analyses video, it's a long one, but so far, I think the most useful one, because it features tons of useful packages, which you then go deeper into. And I also get the best feedback from viewers about it
just a question of a beginner: so is this package/its library better/more powerful than dyplr; and what would you suggest to do in order to learn/implement it into my daily workflow. i work on clinical data.
no, it's different, dplyr does other things. when you are a beginner, I strongly recommend the r4ds book. It's free and online... and much better then paid options.