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Hello and welcome back to another class of our course about the complete introduction to the science

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with Python.

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So in this class, we are going to start working with Seabourne and we are going to create our first

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graph with this amazing, too.

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So he's going to first grab that.

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We are going to be of this blood, which consists of a histogram that is directly inside the well,

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which consists of a line that is directly inside of the histogram.

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So basically, you'll see it's pretty cool.

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So what exactly will do?

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It's pretty simple.

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We will, first of all, import a database or a dataset directly from the Internet, more precisely

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from GitHub.

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And we are going to work with those databases.

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For those of you who don't know where from where exactly, we'll import Irda will imported from here.

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So we see as you can see, this is GitHub and this is all the databases that you guys have.

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So basically there are plenty of those databases.

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So I'm going to show you how to import any of those databases.

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And we are going to work with the most simple ones.

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In this case, the most simple ones would be flight and in my opinion, tips.

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So basically, those are the two databases that are not really complicated and really interesting to

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work with.

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All right.

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So let's come back to our pie chart.

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So basically, the first thing to do would be to import everything right here.

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So everything has been imported.

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One less thing.

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Yes.

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So importing all the things that we need so we have no pipeline does matter.

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And finally, Seabourne, very important matplotlib not forget to write down that pipeline, because

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even if you don't write it down, you will not be able to work with all that blood.

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All right.

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So the first thing that will do is pretty simple is importing our databases.

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So we need to create a viable that we will call in our case database.

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So basically, I'm calling it database.

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You can call it whatever you want.

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So we'll create a variable that will be called database.

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All right.

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So when it's all done, the next thing that we'll do, we will use a function that will be referred

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to Seabourne.

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So we'll start what we will write with S.B.

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So we are making a reference to Seabourne in this case and we are going to ask Seabourne to load a dataset.

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So basically that data set in this case, we decide what data said that we want.

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So let's say we want to import diamonds.

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So this is one of the data sets that we have.

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So just to be sure, we can come back here.

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So we have a dataset that is called diamonds or diamonds.

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So this is exactly what we'll do right now.

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We'll import this data set.

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And just to be sure that everything works fine.

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What we'll do will printed.

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So to be able to see what it looks like.

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So we will print database, which is our this is our variable right here.

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So let's print it and see what it looks like.

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All right, so as you can see, everything works fine, so we have printed our database, our database

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works.

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So here we go.

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We have our Dimond's database.

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So this database is pretty huge.

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It's consisted of fifty three thousand nine hundred forty rows and ten columns.

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So this is a pretty big database.

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And the next thing that we want to do right now is pretty simple.

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We want to create our block or our graph.

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So for those of you who didn't understand what I just did, I imported the database.

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So here you have Dimond's, but you can change it by any other database that you want from this website

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right there.

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So pretty simple if you want to change it for dots, you can change it for dots.

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If you want to change it for you can change it for empty.

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And what it will do, it will simply import other databases so you can create your plots with any database

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that you guys want.

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All right.

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So for the next the next step, what we'll do, we will work with one of those variables right here.

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So I'm proposing to work with that.

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Carrots where price.

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So let's work with Chariot's.

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So what we'll do right now, we are going to create our blood.

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So once again, we are going to make a reference to Seabourne.

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So it's going to be S.B.

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And the type of blood that we are going to create will be the this plot.

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So basically we have this plot so that this plot will be referred to database.

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So basically we are going to take all our so we are going to take our information from database and

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then from what variable?

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From the Bible in this case, Charite.

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So we are referring everything to data base, so to the variable database and from the database.

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We want Python to look for Charite inside of this of this database right here.

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All right.

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So we will write down Carrott.

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So basically it will use those numbers that are right here to create the plot or the graph.

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All right.

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Next thing that we want to do is simply show everything to see what it looks like.

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So it's going to be PLT that show we can open up and close the parenthesis that we have.

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So this formula, will this function right here is just to show everything, this function right here,

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what it means, it's pretty simple.

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We are using dereference SB to be able to work with this blood function that is referred to Seabourne.

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And basically what this function does, it will ask database.

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So it will have a reference to database.

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So we are going to go to database and from database we want to extract the element.

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Charite.

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So basically in the database we have diamonds and from diamonds we we want to extract.

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Basically, when it's all done, you guys can run everything.

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So you'll have your database and finally you will have your plot right here.

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So you can see something that is pretty simple.

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You have your histogram and basically you have the line inside of the histogram.

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Once again, this is a bit complicated to understand, since it's well, we we are working with carats,

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but this is exactly what it will be generated.

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So this is what we will generate with our well, with this type of.

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So, yes, of course, sometimes we can have graphs that are specialized in some things, maybe this

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graph is not the best graph for for it to, you know, carrots, for example.

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Once again, this is a good way to show you guys what type of graph that you can generate.

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Next thing that you can do, you can add beans.

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Beans will simply add well, will simply tell you what is how big you want your histogram to be.

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So basically, it could be one.

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It could be two.

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It could be three.

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You could before.

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So you decide you will simply add it here.

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So basically inside of it you can add your beans.

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So if you simply write down beans and you write down the well how big you want your beans to be.

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So it's going to be just sheer.

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So we want to load this database and here we go, we want to have our bins and we decide how big one

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of them should be in this case, let's say we want to have bins of one.

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So this is how big we want our histogram to be and we can run everything.

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So here we go.

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As you can see, the bin size have changed and the histogram has changed.

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Once again, this is this is not a perfect example to do it with the carrots, for example, because

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once again, it doesn't give a grab.

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That makes a lot of sense.

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But once again, as you can see, this is how it works.

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So we see the bins is simply how big you want your histogram to be.

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So this is what you guys need to understand.

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So really important.

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You need to write it down right here was a bit lost earlier.

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So you write it down right there.

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So database and after the element that you guys want to extract from your database.

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So you write down your kids.

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All right.

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So I hope you guys right now understand what exactly you need to do to be able to create your this blog.

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So basically, your histogram with a line inside of it.

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And I hope you guys understand.

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Well, you can use it in any other way that you want.

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So if we want to simply do a little bit another thing that is pretty cool, so basically simply change

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databases so we can, for example, work with dots in this case.

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So let's choose dots and we run everything.

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So we'll simply take this away.

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So here we go.

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It's going to generate dots right here.

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So those are the dots.

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And what we can do right now, we can, for example, extract something else.

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So, for example, we want to extract the decoherence from our dots.

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We can do it so we can simply copy everything and pass it right here.

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So we want to extract clearance from the database dots.

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And if we run, everything, as you can see, will receive our chart right here.

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So basically, this would be our histogram inside.

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Well, this would be our histogram that will be generated.

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So you can see you can work with any database that you guys want from this website.

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So that's it, first class guys and see our next class.