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Hello and welcome back to the class of our course with the complete introduction to that science with

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Python.

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So until now, we talked about many python tools that can be used, such as by Skype and Skype.

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And today we are going to talk about another really interesting tool that is used for visualization

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that is called matplotlib.

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So we are going to win this class.

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We are going to have a complete introduction to this amazing tool.

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So we are going to talk about visualization.

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What is it exactly?

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Then we're going to talk about matplotlib understand, understanding what exactly is inside of matplotlib

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and what is the concept of a plot.

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So let's start.

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All right.

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So the first thing that we need to understand is data visualization.

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And why exactly is it that important in data science or just in life in general?

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So what is data science?

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Basically, data science for me is a visual representation of results.

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So in this case, let's say you guys have a huge amount of data and you want to analyze this huge amount

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of data.

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So basically, if you guys are just using if you're just looking at data without making it visual in

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form of graphs or any other way to make it visual, it's going to be really hard to understand.

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So it will be really hard to find answers to questions.

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For example, you are looking at how much people on one hundred peoples likes pizza, where there is,

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for example, I don't know, onions on this pizza.

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So basically you want to know how much people like to have this topping on their pizza.

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So basically, if you make it visual, so in the form of graph, you will be able to see how much people

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on this.

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One hundred people like pizza with onions on this pizza.

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If you're just looking at numbers, maybe you will not see it as easily as if you put it visually in

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a form of graph.

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So the same thing could be providing an accessible way to understand patterns in data.

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So once again, this would be it could be for anything.

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Let me just give an example in the financial world.

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So basically you are looking in patterns.

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Let's say you're looking at a stock and you want to look at a pattern that happens every day or every

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week, every month.

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So basically, you can do it with data visualization, which is easier than if you're just looking at

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raw data.

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So basically, if you're looking at daily data of a stock, you will not necessarily be able to see

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all the patterns in all the chart movements.

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But if you're looking at the graph or you're looking at any other type of visual representation of it,

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it's going to be easier to understand.

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And finally, it makes large amount of data easy to understand.

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So basically a terrorist organization, since it's a representative, it's a visual representative way

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of data, it can make really huge amounts of data.

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Really, really simple to understand.

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So basically, you can have millions of, I don't know, numbers or elements inside of your database.

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But if you put it in a form of graph, it's going to be easier to understand that if you're just looking

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at those numbers that are just raw data.

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So why we have to visualize data.

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So, as I explained, it will at first help us with with the comprehension of data that you study.

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So basically, if you guys are studying huge amounts of data, trust me, it's going to be really,

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really hard to just study those huge amounts of data without representing them visually.

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So the best way to understand the data that you guys are studying is to visually represented and without

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a visual representation.

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Basically, it's almost impossible understanding the data that you are studying.

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And finally, it's very easy for our brain to understand, visualize data.

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So for the majority of us, we are very visual as people.

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So basically, if we are putting something in a visual form, so basically we put it, I don't know,

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in a form of a chart, a graph.

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So for that I could be tried graph.

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It could be, I don't know, histogram, for example.

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It could be anything.

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It could be a map, for example.

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So on those on those forms, it's going to be easier for our brain to understand it if that if we are

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looking at just raw data.

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So those are simple examples of how data could be represented.

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All right.

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So in Python, there is a way to represent data visually.

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So we talked about different tools that that are my tools and other stuff in the past few classes.

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But to visualize data, there is a tool that is called matplotlib.

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So once again, this is part of the Python library.

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So what exactly is matplotlib?

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So matplotlib is a plodding library for Python.

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In other words, it works pretty much like Matlab.

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So for those who know what that is, matlab.

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So this is we can set a free version of Matlab that works with Python basically to allow us to visualize

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data in form of plots or in form of.

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Charts, graphs or many other things, which is pretty cool in my opinion, since it's an amazing way

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for us to represent data.

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So what exactly is it?

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But it's a way to represent small or large amounts of data.

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So in this case, here are some examples of plots.

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So we have the bar chart right here.

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You can have the highest diagram right there.

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So it looks something like this.

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You can have scatter plots that are just dots everywhere.

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You can have area plots, you can have pikelets.

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So basically is a pie chart.

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There are some other things that exist on Muttalib that we are not necessarily going to cover them all,

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but we are going to talk about the basics.

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And basically in this part of the course, we are going to create blocks or charts with different with

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small databases that we are going to create.

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So I hope you guys right now understand what exactly is Metalocalypse.

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As you can see, it's not something that is really complicated and is just a way for us to make our

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data more visual, to be able to understand it.

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So that's at first glance, again, since you all know the next class where we are going to setting

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up matplotlib inside of your by text editor.