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.
Hello, I hope all is well. I loved the video - seems like an incredibly useful package! Would you be okay if I used some of your content to build off of for a video project on R packages for one of my classes? My intention would be to take a few functions you show the basic functionality of here, and expand further on the different details regarding arguments they can take and what such arguments do. I plan to link your video in the description of my video (or in the comments if I have issues with the former) and verbally direct others to your video for more information on the general functionality and uses of the package.
Hi Anthony, thanks, and sure, feel free to use my content and direct others to my videos. I would actually appreciate that! :) The janitor video is useful, but kind of old, so, you might have a look at the newer ones, I think they are even more useful. Let me know when your content is ready, I would also love to see it! Cheers
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
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.
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
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.
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
Hello, I hope all is well. I loved the video - seems like an incredibly useful package! Would you be okay if I used some of your content to build off of for a video project on R packages for one of my classes? My intention would be to take a few functions you show the basic functionality of here, and expand further on the different details regarding arguments they can take and what such arguments do. I plan to link your video in the description of my video (or in the comments if I have issues with the former) and verbally direct others to your video for more information on the general functionality and uses of the package.
Hi Anthony, thanks, and sure, feel free to use my content and direct others to my videos. I would actually appreciate that! :) The janitor video is useful, but kind of old, so, you might have a look at the newer ones, I think they are even more useful. Let me know when your content is ready, I would also love to see it! Cheers
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.
Really useful video, thanks!
Thanks mate!
Thanks! a lot's of good information.
I am happy it was helpful! Thanks David!
Thanks that was helpful.
You’re very welcome! Hope the rest is helpful too. Thank you for watching!
How about the duckdply package?
Hi, is the spelling correct? Because I can't find this one. What does it do?
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.
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 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
Nice Video , Thanks
Glad you liked it! Cheers!
Excellent
Glad it’s useful!