Take control of your data in under 30 minutes using tidyverse R. If this vid helps you, please help me a tiny bit by mashing that 'like' button. For more #rstats joy, crush that 'subscribe' button!
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)
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.
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!🤩
It's obvious you have experience teaching! Organized and clear instructions. Thank you! I said I would use python next but your videos and something about R keep me wanting to stick with it. Do you use Python for any specific tasks?
I love your work. Thank you so much for your great videos. Please, keep up the great work and I would like to ask you if you can make a tutorial on the lubridate package and dealing with dates in R. It's so underrated package despite the great importance of dates variables in data science..
Thank you! In addition I see nice feature. After changing a variable - we look at it by View() command... but if I do some changes one more time I can change a page were I've already call a variable and I can see new changes without calling View() once again.
Hi, Do you have any plans on doing a video on best practices for R markdown? I'm trying to learn about chunks, blocks, knitr via other online resources and its kind of confusing me. PS really appreciate your time and effort for these, I'm going for a career change and its really giving me confidence that I can do this
You're awesome. I heard to come back here, having watched one of your videos; learning R in 39 minutes. I have a question please I'm doing the data analysis for my research titled; modeling of selected classification methods and comparison of their performance in the classification of anaemia patients among Nigerian children. Now, I've not been using much of R before this work. So I ran into an issue with my dataset. I have one on of my predictor variables to be continuous. When I declared its class in R as numeric, all values for that variable were overwritten as NAs. I can't start checking each cell because there are almost 11,000 observations. How do I fish out where the problem is?
You're awesome. I heard to come back here, having watched one of your videos; learning R in 39 minutes. I have a question please I'm doing the data analysis for my research titled; modeling of selected classification methods and comparison of their performance in the classification of anaemia patients among Nigerian children. Now, I've not been using much of R before this work. So I ran into an issue with my dataset. I have one on of my predictor variables to be continuous. When I declared its class in R as numeric, all values for that variable were overwritten as NAs. I can't start checking each cell because there are almost 11,000 observations. How do I fish out where the problem is?
You can find materials supporting this vid (and others) at github.com/equitable-equations/youtube.
Just wanted to say this was awesome. Great energy and instruction. You got yourself a new sub today!
Very clear and helpful. Thank you for taking the time to create great content!
Really enjoy your presentations. Being new to R this has been really helpful
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)
Thanks KK! Glad you're around.
Very clear and helpful videos. Thank you very much! Muchas gracias!!! 😊
Great video, really appreciate you making this!
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.
as usual very amazing useful quick Revision
thank you so much sir
Thank you very informative and easy to understand the basics
thank you very much! very good material
Excellent. Thank you
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!🤩
This has been really helpful. Thanks
Thank you for sharing this. 🙏
Amazing vídeo, thanks!
i love your videos so much
It's obvious you have experience teaching! Organized and clear instructions. Thank you! I said I would use python next but your videos and something about R keep me wanting to stick with it. Do you use Python for any specific tasks?
I love your work. Thank you so much for your great videos. Please, keep up the great work and I would like to ask you if you can make a tutorial on the lubridate package and dealing with dates in R. It's so underrated package despite the great importance of dates variables in data science..
HI! This is definitely on my to-do list. Fabulous package.
Amazing
I didn't know that arrange is the tidyverse equivalent of sort. Thanks!
So much of dplyr is inspired by SQL.
thank you
Thanks
Thank you!
In addition I see nice feature.
After changing a variable - we look at it by View() command... but if I do some changes one more time I can change a page were I've already call a variable and I can see new changes without calling View() once again.
Yes! Also, when tidyverse is loaded, you don't actually need to capitalize view().
Hi,
Do you have any plans on doing a video on best practices for R markdown? I'm trying to learn about chunks, blocks, knitr via other online resources and its kind of confusing me.
PS really appreciate your time and effort for these, I'm going for a career change and its really giving me confidence that I can do this
Yes! Here's my vid on R Markdown: th-cam.com/video/asHhuHRxhvo/w-d-xo.html.
Hope it helps!
Your content has really helped me transition from STATA to R! Any plans to do some SEM modelling?
Oooh good idea!
You're awesome.
I heard to come back here, having watched one of your videos; learning R in 39 minutes.
I have a question please
I'm doing the data analysis for my research titled; modeling of selected classification methods and comparison of their performance in the classification of anaemia patients among Nigerian children.
Now, I've not been using much of R before this work. So I ran into an issue with my dataset. I have one on of my predictor variables to be continuous. When I declared its class in R as numeric, all values for that variable were overwritten as NAs. I can't start checking each cell because there are almost 11,000 observations. How do I fish out where the problem is?
group_by() is the SUMIF in spreadsheet..
Awesome.
👏👏👏👏👏👏👏
for those who couldn't get arrange function done: library(dplyr)
df=diamonds_sm
df2%arrange(color)
view(df2)
I did not find the diamonds file in your Github account.can you please tell me where can i find it?
Hi! It becomes available in R as soon as you load tidyverse. You don't need to download it separately.
How to get that diamond dataset
It becomes available to you as soon as you load tidyverse.
The way that the date shows by teachers is not learnable
You're awesome.
I heard to come back here, having watched one of your videos; learning R in 39 minutes.
I have a question please
I'm doing the data analysis for my research titled; modeling of selected classification methods and comparison of their performance in the classification of anaemia patients among Nigerian children.
Now, I've not been using much of R before this work. So I ran into an issue with my dataset. I have one on of my predictor variables to be continuous. When I declared its class in R as numeric, all values for that variable were overwritten as NAs. I can't start checking each cell because there are almost 11,000 observations. How do I fish out where the problem is?