A distant cousin, perhaps.

Extinction

Remember the notation, the sum of squares and mean squares.

Alright, there should just be sort of all over the place. There shouldn't be a function relating those two.

We can't see the corridors, and we can't see what it is that brings together a tuna, a leatherback and an albatross.

And there are different kinds of relationships between the people.

Now if you consider the fact that nuclear weapons proliferation is associated with nuclear energy proliferation, because we know for example,

You feel you now have control, don't you?

Twentyfive. Hey, lady.

They both display a negatively sloping somewhat linear relationship.

This is bullshit, come on.

Relationship

Involved?

We'll let R do the work.

And, if X and Y overlap, if they co vary.

I suppose I am affiliated...

And the co variances to fall between negative one and positive one essentially to be correlations, alright.

Relation

Is it a man?

Military?

Welcome to our first problem set covering visualization. Let's get started.

You could have friendship relationships, sibling relationships, spousal relationships, co worker relationships, neighbor relationships and the like.

There's no communication.

And how they can tell us a lot about what's going on in our data.

Dispersion

Variance

What about causality?

Correlation

Entity Relationship Diagram

Entity Relationship Model

He was actually, uh, caught and held prisoner for a while.

CA

I don't wanna get into this now.

Nobody.

Whatever. Whatever.

You her lawyer?

Well, I don't care

'Cause I said so. How about that?

Honey, it wasn't that.

He's not involved.

Fuck your wife!

Us.

We're almost at the correlation matrix.

Okay but we're gonna skip all that today and just jump into the scatter parts.

And the tension here is between institution as enabler and institution as obstacle.