StatQuest: PCA in R

We've talked about the theory behind PCA in
Now we talk about how to do it in practice using R. If you want to copy and paste the code I use in this video, it's right here in the StatQuest GitHub:

For a complete index of all the StatQuest videos, check out:

If you'd like to support StatQuest, please consider...

Buying The StatQuest Illustrated Guide to Machine Learning!!!

...or...

...a cool StatQuest t-shirt or sweatshirt:

...buying one or two of my songs (or go large and get a whole album!)

...or just donating to StatQuest!

Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:

#statquest #PCA

[Buckybarnesfan]

Josh, whenever I have a question about data science, your channel is the go-to. Thank you for the clear teaching!

[Nrmad]

It blows my mind how much people like you know about several topics. Statistics, probability, coding, machine learning, biology, and I'm sure more. You're nuts. And I meant that as a compliment.

[MancoMusic]

In more or less 30 minutes I understood more about PCA than in hours of university degree and PhD courses! This video along with the one about theory background are amazing.
I was just looking for something to understand it better and try to apply it on my "a lot of species" VOCs dataset.
I'm going to try a first raw run on R!

And you are both scientist and songmaker like me! I'm not a lonely weirdo!
Awesome!

Thank you!

[kathrynoneill]

This is amazing!!! You are saving me so much grad school struggle right now. I am singing StatQuest from the rafters!

[suzandilaratokac]

This was amazing! I was afraid of the name "PCA" in R but you mad it so easy!

[EmapMe]

Dangit you even have a video on how to do this stuff in R. Now I have absolutely no excuse to not do my PCA assignment.

[josy]

I was really struggling to get a grip on using PCA in R - you explained prcomp() so well! Thank you

[niceday]

No matter how many times I say thank you, can not express my thankness to you

[arfix]

I'm always happy when I see that you have covered a topic I am studying. Thank you!

[leylayim]

You sir, deserve a medal! Thank you so much!

[yutassmilehealsme]

Your channel saved my grades during my entire stats undergrad

[lhocpjw]

great teaching! And very simple to comprehend.

[kubrateksen]

I wish we could like each of your videos more than once :)

[ahsanjaved]

Awesome. Watched 100's of tutorials and all were confusing. It's the best one and as said clearly explained.. Thanks Joshua :)

[asfarlathif]

Hello Josh! I just wanted to say a huge thanks for making these explanation videos on stats concepts. It's been a huge help for me to get my head around these complicated topics on my own. I was also looking for videos explaining the mathematics behind the SINGULAR VALUE DECOMPOSITION method and how to implement it in R. I would greatly appreciate it if you make a video explaining SVD (and its practical implementation in R). Thanks again!

[jiwoosong]

Best stats lecture ever! Thank you!! This needs more views :)

[Krieananas]

Thank you sir, you are saving my lazy-ass once again

[elovyn]

Well explained, thanks! I used PCA, trying out different packages, would be nice to have some information on those mentioned as well, some of them provide nice functions for visualisation. When I do/try PCA, I find it most challenging to prepare the dataset to be suitable for PCA, but I guess that is a different topic of how to standardize variables and what to do with categorical variables etc.

[rhoninpowers]

Oh man...I am subscribing!! I love how he (Josh) steps through the code... I thought there were some other great videos out there...and there are...but hands down these videos are excellent. (I want to punch the person who downvoted however... not sure how someone can downvote something with such detail and clarity...such is the perils of choice...lol. thanks Josh!

[amanastana]

Thanks Joshua!!!
This is brilliant!, BAM!!!
I have watched your few videos and amazed with your methods of explanation!