Love this video very much 💛💛 I don't think there are any other video on yt explaining about chi2_contingency. btw, I have some doubts. we are using chi_sq_result[1]. Correct me if I'm wrong [o] = test statistics [1] = p value [2] = degree of freedom [3] = expected table we are only using P-value for checking correlation, right? And, I don't understand why we are writing as: chi2_contingency(crosstab , ) our 1st argument is the crosstab, but is there any 2nd missing argument after , ?
Thank you for the feedback. There are a few things unexplained in the video and it is still early days for me making these. I'll put out a detailed video going over this concept in detail once I get some time away from work.
Love this video very much 💛💛 I don't think there are any other video on yt explaining about chi2_contingency. btw, I have some doubts.
we are using chi_sq_result[1]. Correct me if I'm wrong
[o] = test statistics
[1] = p value
[2] = degree of freedom
[3] = expected table
we are only using P-value for checking correlation, right?
And, I don't understand why we are writing as:
chi2_contingency(crosstab , )
our 1st argument is the crosstab, but is there any 2nd missing argument after , ?
Thank you for the feedback. There are a few things unexplained in the video and it is still early days for me making these. I'll put out a detailed video going over this concept in detail once I get some time away from work.
my savior 😭
Not sure why but for me even if the correlation is =1 it says NOT CORRELATED
I’ll check the code, probably a bug, but the important thing is the concept, if that’s clear then the purpose of the video is fulfilled