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Hi and welcome to one of the most important projects of the course, the data analysis and visualisations

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project.

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As you may know, Python is undoubtedly the best programming language for data

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analysis and visualisations.

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Python was able to overtake languages which are using data analysis such as R and the secret of Python

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is the vast variety of libraries which you can use with Python.

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And that means you can combine your data analysis reports and plots that you create with Python, with

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other Python libraries to make complete applications such as web apps or even desktop apps, automate

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things, etc..

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So Python is definitely the right tool to use with data analysis, it's very powerful.

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Now, in this section, I'll not simply show you the code that does this operation and that operation,

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but I will also show you the logic behind data analysis.

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What you should do when you have a data analysis project, since I have a degree in geospatial

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data analysis.

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So I'll show you some of my expertise in the field.

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I'll give you a data set or forty 45 000 records.

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And we are going to turn these data into information.

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And that is what data analysis and visualization is about, turning data into information.

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For example, we are going to answer questions such as what is the day of the week when people are the

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happiest and we are going to use our data for that.

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The data are simply data, but knowing the happiest day of the week, that is information.

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Now, one important part of this section is the data visualization part.

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So let me show you some of the plots

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we are going to create in this series of videos just to give you an incentive and motivation for you

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to actually watch this series of videos.

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All these graphs are interactive.

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So just to give you an idea how these graphs will look like.
Here are some plots that we will create.

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This particular one shows the average rating every day.

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So the date is along the X axis and the average rating is along the Y axis.

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Then we are going to make a pie chart such as this one.

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And also other interesting types of charts.

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In fact, I'm going to show you the way how you can make any type of chart that suites your data,

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your needs, and that is going to be quite easy, actually, because I'm going to tell you the trick,

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the logic behind that and the good news with these graphs is that you don't have to do a lot of configurations

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because these are beautiful out of the box and that is made possible by the library that you are going to

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use.

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So get ready for this and I'll talk to you in the next video.