Logic. It's more complicated. I

[kexej28769@nongnue]

Basic math. It's pretty obvious. Phone calls and emails are equivalent, for example. You can combine different fields.

Converts. Suppose people are really bad at writing some things in uppercase and some in lowercase. You have a problem with URLs being written in different ways. You can use transform to convert uppercase to lowercase. This is a great thing.

Formulas Formulas are where you're saying just show uae number data this subset of the data. Or how many times does this happen? It could be things like a count function, so count how many times this happens, for example, and present that as a completely separate metric, which can be really useful for things like when you want to count the number of times an event occurs and then compare that to something else. It can only pull out that kind of data.
f X, then Y. If this happens, then this is going to happen. There's really complicated stuff there. But if you're just starting out, start with that, and then check out the Google Data Studio documentation. You'll find some cool stuff there.
1. Fundamental Mathematics
Here are some examples of how we use it in our Google Data Studio dashboards. So the basic math, one of the things that a lot of people care about: Are people contacting me?

That's the basics of why we do marketing. Are people engaging? So, for example, you can do some basic math and say, "Okay. So I know that on our website in Google Tag Manager, we have a trigger that fires whenever someone taps or clicks on the mail-to link on the site." Also, we're tracking how many people submit forms, as you should.