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Hello and welcome to the very first session of this covid-19 data analysis project.

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So this is exactly why Jupiter ID, where we have to do a lot of analysis depending upon what problems

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teckman we have.

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So this is exactly the very first assignment for this particular session in which I had to do a lot

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of data, because before going deep into our analysis, we have to perform lots of analysis on our data.

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And you will figure out over here, these are all my datasets on which I have to do a lot of preparation

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before doing any sort of analysis.

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So let me open my book ID and let me board some basic stuff over here.

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Let's say Panda's number by matplotlib, Seabourne floridly and all these validation, liability and

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data manipulation.

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Labadee So very first, I'm just going to import my bonders, which is extensively used for data mining,

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pollution and extraction as well after it for some numerical computations on data, you guys can import

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your name by module and it creates its Ania's as an IP or you can say it's shortcode as an IP after

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we have to import something known as which is exactly my matplotlib.

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And from our play we have to import something which is plot and tusked.

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It's Eleazar spelled after it.

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I have to import something which is exactly my Ascendis and just create its Aliya's as Ascendis.

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Let's say I have to deal with my operating system as well.

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So for this I have to import my OS module as well.

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That's it.

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Just executed all the stuff over here.

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And now what I'm going to do, let's say I'm just going to copy this entire thought from here and using

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this OS module, I'm just going to call a function which is List Dayak, which is exactly my list of

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all the directories available at this particular port.

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And this is exactly that path.

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And if I'm going to execute it, you will see you have all these stuffs available at this particular

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part.

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You will get all your data sets available at this particular like let's say I have to store it somewhere

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else.

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Let's say I'm going to say this is exactly my files and I'm just going to print it as well.

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Let's say just execute it.

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And this is exactly that list.

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Using that list, you can do a lot of preparation, ordering data as you will figure it out over here.

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You have multiple datasets over here.

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It means you have to read your data again and again.

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So why not try to create a function?

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Because function will make this task much, much easier over here.

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So let me define some function over here that would define a function using this def keyword.

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And let's see, my function name is nothing but like to read on this code data.

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This is exactly the function name and in this function name, whatever parameter I'm going to pass using

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that parameter, I can definitely read my data and I can create its data.

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That's what this function will do.

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So here what I'm going to do very first, I had to use all I can say.

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I have to call a function, which is exactly my read on see, which is exactly this one.

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And here you have to pass some part and some filename.

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So this function will receive whatever part Hambling to Pastoria and whatever filename I'm going to

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pass over here.

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So here I have to mention is part and then I have to add my forward slash over here.

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So this is exactly my forward slash after it.

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I have to say I have to give my findings, so I have to just pass this filename as well and whatever

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data frame it will return me.

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So I'm just going to say just return.

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And if I'm going to execute, all of this stuff gets executed.

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Let's say what I'm going to do now.

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I have to simply call this function.

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And very first in this parameter, if I'm going to test shift plus over here now, you will figure out

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what exactly the path, what is your filename?

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Let's say I have to create a variable, which is exactly my part.

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And in this part, I have to restore my part.

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Like I'm just going to paste over there and here.

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I'm going to say this is part and let's say my name is the thing.

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But very first, let's say I have to read this one so you can just copy from here and just paste where

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here.

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And if I'm going to execute it, it will return me this amazing data frame by writing just a single

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line of code.

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You can definitely get your data frame.

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I have to store it somewhere else.

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Let's say I'm going to say this is exactly my floor and that's it, just executed.

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And if, again, I'm going to call had or tell to get a preview how exactly my data looks like.

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This is exactly amazing stuff that you have got by calling.

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This function, so let's just see what exactly the power of function in a similar way, in a similar

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way.

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You can read each and every data set available over here.

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Let's say I have read some more data.

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That's the very first I have to call this function.

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And in this function, the first parameter that I have to parse, which is exactly my part that I have

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defined over here.

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And a second parameter, what exactly is my filename?

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Let's say I'm going to read this day, underscore why CSFI.

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So here I am going to say this is nothing but files of.

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And here I have to pass index of that file, which is exactly secon.

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Alexiev whatever it Willetton me, I store it.

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Alexei's data family name is nothing but Deerness.

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Cari's just executed.

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Now what you have to do, you have to just copy all the disturbed space to here.

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This time let's say you have to read this full Alesco or Kesby.

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So here you have to pass.

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The index has three and whatever data frame to lay it on me, I have to simply store.

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That's it.

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And I have to just execute it.

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Now what I have to do, I have to read this USSI country in the score.

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I start CSFI and this time I have to pass its index as four and whatever data frame it will return me,

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I'm going to name it as let's say, USSI on next call data.

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That's it.

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That's all up to you.

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Whatever name you want to assign after it.

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What I have to do next at this time I'm going to read this Koed and the score 19 this one.

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So its index is one.

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So yeah, I'm just going to pass its index as one and after it what I have to do, I have to provide

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some data for me here.

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I'm going to say data frame name is nothing, but probings underscore data.

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That's it.

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And if I'm going to execute all the stuff successfully executed over here, let's see if I'm going to

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call shape or not.

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You can easily see this data frame has that much number of rule and it has that much number of columns.

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So that's all about this.

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In all of our upcoming session, we are going to deep diving double analysis and we are going to analyze

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this data.

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And in all of our upcoming session, we are going to analyze this data up to a greater extent.

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So that's all about the session.

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Will love it very much.

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Thank you.

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Have a nice day.

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Keep learning.

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Keep growing.

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Keep practicing.