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And welcome back to our class, of course, about the complete introduction to the science synthase

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class, we are still going to talk about Seabourne and we are going to talk about another type of blood

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that you guys can create inside of this amazing tool.

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And basically this blog is called it's called the joint plot.

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And what it will do, it will put dots inside of the graph.

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So basically, those little dots you'll see, they will allow us to understand what is the relation

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between two variables.

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So for the purpose of this example, I'm planning to use the TIPS database.

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So basically, if we go in on GitHub, on our Web, on our databases that we will use, it's going to

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be the databases right here.

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So basically, it's going to be.

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You'll see, it's pretty simple to understand.

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So the first thing that we'll do is we will import our database.

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So how exactly do we import it?

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So it's pretty simple.

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We want to create a variable.

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So in this case will create a variable that will be called data base, as always.

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And we are going to make a reference to Seabourne.

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So basically, we'll start we start our sentence with S.B and we want to load data set.

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So what exactly what Barasat want to loop.

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So in this case, we want to load this, which is one of the datasets.

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So if you guys want to work with something else, you can.

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But for the purpose of this example, we are going to work with this.

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So if we print everything, so if we print our data sets or in this case, if we print the data base,

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we'll see what this database will look like.

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So you can see here is our data.

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So pretty simple.

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As you can see, we have our total bill.

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We have Earthship.

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We have if the person is a male or a female, we have the person smokes or know the weekday if it's

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dinner time and the size of the table.

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All right.

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So what we'll do right now will simply calculate what is the tip based on the total bill.

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So if the tip is higher for a higher total bill or if the tip is if there is a relationship between

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the tip and the total bill or if there is no relationship between those two.

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So how exactly will do this?

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It's pretty simple.

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So we will create a joint plug.

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So basically, you'll see this type of graph is pretty interesting.

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So how exactly created.

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It's pretty simple.

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Once again, we need to make a reference to our seabourne too.

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So we will start our sentence with S.B, that joint.

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So basically joint plot, which is the type of plot that we will use then right here we will need.

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We have three arguments that we need to write them.

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So we have our X, which would be our first argument.

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And in this case, what we want to have as an X, we want to have tips as an X, so here will have tips

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as X.

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Then the second argument will be our Y.

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So instead of a graph, we have X and we have our Y.

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So in this case, what do we want to have as what we want to have?

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The total bill will write it down.

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Total bill, then the last thing we want to know from where exactly the data is going to come from.

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So in our case, the data will come from database.

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So from here we will have autonomy.

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So basically, if you guys have more than one database, you can choose from where you want to you want

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to have your data coming from.

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So in our case, we want our data.

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To come from the valuable data base.

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All right, so we have everything that we need.

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Next thing that we want to do is simply run our graphs, basically simply write down that show to be

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able to see your graph so we can run everything.

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And as you can see, we have our graph right here.

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So right now it's time to understand what we have just generated.

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So right here, we have our total bill and right here we have our.

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So basically, the majority of the tips are somewhere around here.

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So we have a tip of three dollars.

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Basically, that's the average if we want to see.

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So the majority is somewhere right here.

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And as you can see, the more the price of the table is, the more the tip will be high and the less

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the price of the table will be, the less the tip will be.

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So basically, we have extremes are extremes here.

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So we have our lowest extreme right here and our highest extreme right here.

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And on the other hand, for example, we have some other extremes.

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For example, right here we have a tip of five dollars for a meal that doesn't even cost ten dollars.

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And we have another extreme right here of a tip of less than one dollar for a meal, a for a meal that

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costs more than 30 dollars.

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So basically, as you can see, yes, there is a relationship between the tip and the total bill, and

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we can see it directly inside of this graph.

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So basically, we can automatically see that the more tip costs, the more the total bill will be high.

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So the more the total bill is high, the more the tip will be higher.

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In this case.

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So, yes, we have extremes.

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But once again, it's important to understand that in the majority of cases in this case, somewhere

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around 80 percent of cases, this is respected.

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So basically, the more the total is high, the more the tip will be.

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So this is basically how we can analyze data in a basic basically.

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So I hope you guys understand right now how to make a joint block or this type of graph.

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In other words, and how you can understand it and be able to work with this type of graph.

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So that's it for us guys, guys.

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And see you all in our next class.