Recoding data using R programming. Using the tidyverse and dplyr packages to create a new variable

This video is about how to recode data and manipulate data using R programming. It is really an R programming for beginners videos. It provides a demonstration of how to recode data using the tidyverse package (specifically the dplyr package in the tidyverse set of packages). The demonstration is in R Studio. This channel is for people who are interested in quantitative and statistical analysis using R. Everything to do with data science. This video is part of the "cleaning data" series.

[rameshgajbhiye]

This guy is so invested in his audience, did someone notice?! he is using new words in every video like voila, Bing Bada boom, etc to keep the audience engaged...great efforts n quality of content is immaculate

[nikolanedic]

Hands down the best channel on R programming.

[Crystalspencer]

## ATTENTION NEW CODERS ##
Re: updated dataset in tidyverse
Thank you to the older comments on this video to let me know that the elements of the “gender” variable are masculine and feminine whereas the male and female elements belong to the “sex” variable. I also was coding along and lost my “View(sw)” data as soon as I typed along (code line 9) with the video as well. Therefore, by replacing male and female with masculine and feminine respectively, code example:
filter(gender %in% c(“masculine”, “feminine”))
I got my data back in the View(sw) pane!
\(^o^)/ “boom-shack-a-lacka!!”

[matosleni]

Thanks again for all excellent tutorials!
Quick Note: someone has changed the gender options from the original data set (starwars). Nowadays, they are called either "masculine" or "feminine".

[nursahidassafaat]

I love the way you explained that, quiet simple, clear, and saving time!
I would be very happy if you could make a video tutorial on how to make real-time questionnaires and automatically process them, and give feedback to respondents regarding their scores and their position in the global norms :D

[jd]

This guy is great... explains everything better than my uni program. Keep them coming!

[balatangiisuran]

Very useful as usual. I want to let you know that I am learning R through your videos. Very excited to see more videos.

[rebeccaveiga]

Thank you for these videos - they are great!! I have been teaching myself R and your videos are super helpful! Please keep making more. Packages are poetry!

[negusuworku]

Bro what ?! I am learning a lot. Thank you. Keep it up. Bless you.

[haraldurkarlsson]

Short but to the point - excellent. I always learning something new from these videos. Keep them comming...

[konstantinosmaravegias]

Thank you. This is pure gold, i just wanted to figured out how the recode( ) works, but you made me to understand deeper how other functions works too.
Thank you, for the fast and simple example.

[hannahplantana]

Your videos are extremely helpful and concise!! Thanks you for sharing

[mightyowl]

Immediately subscribed! Please keep those videos coming!! Amazing tutorials!

[Easykzz]

learning R, step by step by your videos. Plz keep doing what you do🤩

[vanishreehegde]

So easy explanations. Makes it easy to learn. Thank you.

[Padmaprana]

Thank you so much for posting! I've been trying to teach myself recently. Every single one of your videos have been coming at a perfect time and are exactly everything I've been needing and wanting to learn. So directly relevant. Can't wait to see more!

[boristolkachev]

Excellent as always! Thanks very much indeed

[CindyLaquidara]

This is so incredibly clear. Thank you very much and it’s fun too

[Shawn-gmcf]

Your videos are excellent. I've learned so much already.

[swatighoshsinha]

Hi, thanks for the simple explanation. Is there a way to categorize into 3 categories big, medium and small based on the combination of height and weight variables?