Hi, everyone, welcome to Exploratory Data Analysis.

This is the fourth class in the Data Science Specialization.

So at this point you should have, you should be familiar

with all the kind of basic tools in the data scientist's toolbox.

You should you know, be familiar at least with the kind of the basics of R

programming in terms of writing functions and writing

writing kind of basic, kind of basic operations on data.

And we should have covered the kind of the aspects getting data

from the internet and through various APIs and kind of processing data.

So now you've got, you can imagine, you have got your data set.

It's been through a variety of processing steps and it's time

to just kind of look at and see what's going on, right?

So you want, so the purpose of this class is to look at your data, get

a sense of what's happening and what are the kinds of plots that you want to make.

One of the types ways that you can explore the data without kind of having

a precise or specific model about, you know,

what's supposed to be going on in there.

So this is before we do modelling, before we

do prediction, before we do any sort of inference.

And so we're going to talk about the plotting systems in R.

We're kind, talked about kind of basic principals about making analytic graphics

and I'll show some case studies of exploratory data analysis just so

you can get of sense of kind of how this type, how

this kind of thing would work in a, in the real world.

So I hope you enjoy it.

I look forward to seeing you in the class.

And I think this will set you up really

well, for the later classes in the data science specialization.