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Hello, my dear friends.

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So in this lesson, we're going to learn a little bit about data visualization in Python with matplotlib.

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So let's start.

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First off, what is matplotlib?

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So Matplotlib is one of the most popular python packages used for data visualization.

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It's a cross platform library for making 2D plots from data in arrays.

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But first, do we really need to know what data visualization is?

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Of course you do.

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Of course you want to know.

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Data visualization basically organizes complex and scattered data to make it easy to understand and

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interpret with visual clues.

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So in other words, data visualization is a task of visualizing and concretizing perhaps abstract data

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and obtaining preliminary information.

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Now, of course, there are some points that we're going to need to pay attention to when visualizing

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data and I'll lay them out here.

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Color matching.

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We can use color palettes for this.

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I want you to remember, be simple.

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Remember, kiss ISIS.

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Keep it simple, stupid.

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Now, choosing the right chart type is important.

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The graph should be understandable.

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Correct placement of numbers.

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So now let's go back to Matplotlib.

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Matplotlib is written in Python and makes use of numpty.

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And yeah, I know numpties everywhere.

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Where else would you want it to be?

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Matplotlib can be used in Python ie python shells, Jupiter Notebook, which is, of course, our favorite

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and Web application servers also.

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All right, now I got you excited.

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How do we install Matplotlib on our computer?

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Now, we installed Anakonda at the beginning of the course, if you can remember back that far.

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And that means we've already installed matplotlib.

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But if you don't have to have matplotlib or you deleted it, for some reason, you can use the PIPP

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command.

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You can type in PIP, install matplotlib on your terminal or on your command console, your operating

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system will automatically install it.

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And now everything is ready.

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Boom.

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And that's it.

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That's it for this lesson anyway.

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We talked about matplotlib and data visualization, and in our next lesson, we're going to start to

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use matplotlib.

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So that means I want to see you in that next lesson.

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Have a nice day.
