Data wrangling with R in 27 minutes

[@EquitableEquations]

You can find materials supporting this vid (and others) at github.com/equitable-equations/youtube.

[@DayoOluwakemi]

Your instructions are very understandable and detailed. I have gained a great deal of knowledge from your lessons. Thank you very much 🙏

[@joeltorres1237]

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?

[@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.

[@hirozopel]

Just wanted to say this was awesome. Great energy and instruction. You got yourself a new sub today!

[@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)

[@EquitableEquations]

Thanks KK! Glad you're around.

[@user-se9uk2py5k]

Very clear and helpful videos. Thank you very much! Muchas gracias!!! 😊

[@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!🤩

[@Abdul-nt9uk]

Your content is amazing. Thank you so much,

[@mycountryfarm]

This has been really helpful. Thanks

[@skriesten]

Really enjoy your presentations. Being new to R this has been really helpful

[@ahmedelkholy1323]

as usual very amazing useful quick Revision thank you so much sir

[@NikkiShah-ky5km]

Very clear and helpful. Thank you for taking the time to create great content!

[@KaiqueStorck]

Amazing vídeo, thanks!

[@muhammedhadedy4570]

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..

[@EquitableEquations]

HI! This is definitely on my to-do list. Fabulous package.

[@samuelolaoluwa150]

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?

[@cptnbrrycrnch5194]

Great video, really appreciate you making this!

[@arebuissa7547]

Thank you very informative and easy to understand the basics

[@maireadleyden6387]

Excellent. Thank you

[@jorgecepe]

thank you very much! very good material

[@Browncas]

Thank you for sharing this. 🙏

[@theecanmole]

I didn't know that arrange is the tidyverse equivalent of sort. Thanks!

[@EquitableEquations]

So much of dplyr is inspired by SQL.

[@romanvasiura6705]

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.

[@EquitableEquations]

Yes! Also, when tidyverse is loaded, you don't actually need to capitalize view().

[@TheJq32]

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

[@EquitableEquations]

Yes! Here's my vid on R Markdown: kzbin.info/www/bejne/l6Srmah-h92brNE. Hope it helps!

[@mackottens]

Your content has really helped me transition from STATA to R! Any plans to do some SEM modelling?

[@EquitableEquations]

Oooh good idea!

[@kkanden]

i love your videos so much

[@jothamithagu7403]

group_by() is the SUMIF in spreadsheet.. Awesome. 👏👏👏👏👏👏👏

[@mjacfardk]

thank you

[@PaulYoung-r8g]

Amazing

[@yourivyleaguegirl]

for those who couldn't get arrange function done: library(dplyr) df=diamonds_sm df2%arrange(color) view(df2)

[@SobugShikder]

I did not find the diamonds file in your Github account.can you please tell me where can i find it?

[@EquitableEquations]

Hi! It becomes available in R as soon as you load tidyverse. You don't need to download it separately.

[@harshitarajput2739]

How to get that diamond dataset

[@EquitableEquations]

It becomes available to you as soon as you load tidyverse.

[@OsamaElghawil]

The way that the date shows by teachers is not learnable

[@samuelolaoluwa150]

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?

[@CaribouDataScience]

Thanks