Spearman's rank correlation coefficient- Statistics

[@shivamgoel0897]

Why can't I stop watching all the statistics videos 😭 he is so good 😭

[@shreyasarojkar5267]

Hoping one day I also become data scientist like you !!

[@rajivprajapati7458]

All the best

[@deeptisharma90]

so did you?

[@shanthgaitonde]

Underrated channel! Deserves more than 10M!

[@naumantarif6919]

Explaining in a very simple way. great work. keep it up.

[@sameerpandey5561]

Very Good Explanation.....Cleared all of my doubts....Thank you

[@spadbob24]

Its not variance, its standard deviation. But very nice video and great playlists - enjoying every second of it

[@abhigautam7028]

Hey, krish love your content and most of the content is straightforward and easy to understand but first time this video seem so complicated. I have watched some of the other video and haven't get the proper information. Can you make it simpler which is easy to understand. Hope you will do it soon. Thank you ❤️

[@swapniljena8684]

www.statstutor.ac.uk/resources/uploaded/spearmans.pdf Here is a great one on spearman correlation if you also got stuck in this video.

[@saitarun6562]

nice

[@siddharthmodi5908]

Explaining on a whiteboard is easy to understand, it's not a difficult topic I know but explaining on Wikipedia makes it hard to understand and makes it more complicated. I didn't understand this video properly, but thanks for this video krish.

[@chinmaybhat9636]

@Krish Naik Sir is this the complete Statistics Playlist or You have uploaded some more videos also because in this video it has been shown that total 21 videos there in this playlist where i can able to see only 15 ?? Thanks & Regards, CHINMAY N BHAT

[@rahulkr.paswan6232]

what about the y variable. That are not sorted properly and if sorted so in such manner . I can't get the concept hidden behind that.. Please reply fast as possible

[@narayanakhadri8846]

First to see and comment.. Thanks Krish for wonderful videos

[@likinponnanna8990]

Very informative and clearly explained.

[@somjitdas6034]

well-articulated and explained

[@harpreetsingh577]

sir, u r a gem

[@sandipansarkar9211]

Thanks Krish .Great Explanation

[@saiharshareddy8808]

That was a very good explaination 😍💖

[@trushnamangukiya8337]

nicely explained 😊 thanks a lot

[@userstudent5099]

can you make more videos on statistics on confusion matrix and all overall loved ur content sir...

[@bishwajeetsingh8834]

here you said the smallest number is provided with 1 rank but in any other blog say, Simplilearn says that the biggest value is assigned with rank 1. will you please clarify this?

[@jaiswalmagic1]

my notes for this video : vishaljaiswal.notion.site/Spearman-s-rank-correlation-coefficient-Statistics-a492a52468e54ecd8a4fb8ad402a6c19 thoughts and comments are welcome. 😀

[@adityabenere6004]

Once again an amazing video hatss off!!!! But there is an error in the IQ data on wikipedia page, the second and third observations are both 86 but when a new table was prepared, suddenly 86 is allotted 0 hours. And then 4 th observation in second table in column IQ is 100 and it has allotted the number 27 so i got a bit confused.

[@akashsinghrajput2175]

Hey.. Guys I am under process 2020 Dec - Data Scientist.. Target Fixed

[@saitarun6562]

how is it progressing buddy?done?

[@ajazhussain2919]

Thanks Krish

[@waterbottle8886]

thank you sir

[@ThePlanetMusk]

Krish, first time from your videos , this content i am not able to get it...watched couple of times ...but still ...

[@letslearnjava1753]

Check this visualization, might get help: kzbin.info/www/bejne/iauzXmeAr99mgLM

[@venkatnikhil7280]

Hi Krish, I have joined in 299 plan. Where can I find data science material that is included in the paln?

[@krishnaik06]

Check the community post...u will get everything there

[@nisisudheer4822]

very much helpful videos... can u pls explain linear and non linear relationship

[@ayushibatwara]

thank you so much, so helpful!

[@shoraygoel]

Why don't we directly apply Pearson correlation after finding ranks?

[@miranbaban9554]

Dear Krish I have a question please, why we didnt rank the column y as we did in column x, or we can do it and we get the same result??

[@akashravindra..]

Why would you sort that because if you try to sort it then corresponding x value will change. you sort x and right whatever y is corresponding to x

[@abidhussainwani3028]

Thanks bro, but i have a question that why the values of yi not sorted in ascending order and ranked accordingly?

[@akashravindra..]

Why would you sort that because if you try to sort it then corresponding x value will change. you sort x and right whatever y is corresponding to x

[@xoda345]

I think they haven't shown the step but the rank is assigned as per the sorted value and in spearman rank matters the most which is assigned as per sorted order.

[@venkatasai5460]

Hi Krish, how do we handle ties while ranking if the dataset has some

[@letslearnjava1753]

Hello Venkata , you have to used tiedrank then , please check this video once if you still have doubts on this --kzbin.info/www/bejne/in2lkIqunt6XjNU

[@bishwajeetsingh8834]

mean rank will be provided to both

[@True_Feelingsss...]

U have told spearman correlation = cov(x rank,y rank)/Sigma x rank * Sigma y rank then at last used = 6*di2/n(n2-1)

[@nayanshende4528]

Only if all n ranks are distinct integers, it can be computed using the popular formula 6*di2/n(n2-1)

[@adityabenere6004]

yess there is a theorem, we can substitute the covariance and standard deviation values then the final formula can be written as 1- sum(di2).........you can contact me i will send you the notes

[@jaswanthgannamaneni8461]

@@nayanshende4528 thank you

[@shinycarvalho6231]

Hello Sir I am slow learner student I know the question I am asking to you might sound little silly to you but Can you give answer to the following question Statistical correlation is measured by coefficient of regression true or false. Please do reply Thanking you in anticipation

[@soumendradash5979]

I think you missed out on the fact that it's generally tested on ordinal features. Very good video. otherwise.

[@pathikghugare9918]

Ordinal data means categorical values right ?

[@oldfairy]

maximum likelihood and MCMC please

[@pleasantdayNwisdom]

sir whiteboard videos are better to connect

[@indirajithkv7793]

❤💫

[@rohitchitte5614]

I think this video is shot on huwaie magicbook due to camera position

[@balasaiallagadda2791]

Can anyone suggest me courses to improve my statistics skills

[@swapniljena8684]

Try the course on khan academy on statistics and probability, it starts from the very basic ideas too.

[@shahzan525]

i couldn't understand this video properly...

[@srijangupta2413]

I think explaining on a whiteboard is much more effective, kindly try to stick to that only!

[@krishnaik06]

Sure Srijan..I also felt this too. Now every explanation in white board

[@adityabenere6004]

@@krishnaik06 thanks sir, video was great btw