My question may look trivial to many but I am really confused over the concept of correlation?
I applied corr function to complete data frame and gets the values b/w (numeric) features as: 1.795702e-03, -3.072601e-03, -6.481803e-04, 8.701917e-04, 9.061027e-05 and so on.
(a) What is the interpretation to corr function output values that varies b/w negative and positive.
(b) Based on the Values of corr function, when should we keep the feature/variables/columns in our data set OR should we delete them.
© how and when to use corrplot function as almost every kernel uses it.
(d) how to interpret corrplot function.
I request to take some time to answer my question. Also if I could get some link to video or tutorial or document related to it