# Remove Outliers - Market Basket Analysis

I'm having some thoughts on whether I should remove the outliers. I'm trying to find the tags that are commonly used together. Imagine that I have the following dataset. The first column is the Tag_ID and the second column is the Number of People that used that Tag.

1   3472034
2   1277918
3   1249839
4   1010770
5   915099
6   898292
7   636792
8   604352
9   555673
10  298495
11  291511
12  211074
13  200868
...


(This was copied from my actual dataset).

My question is: Should I remove a Tag instance when it is much more frequent than the other? Is that regarded as a good practice?

Many thanks!

• I don't think this can be answered without knowing your experiment. Sometimes it's good to remove outliers, sometimes not. – Hobbes Nov 15 '16 at 15:59