Hey everyone.
So in the last video we also done with the you can do.
And in this module so in this video just for practice.
We are going to work with a big data that is U.S. city's population.
This one is big enough to even crested Jupiter not look at what you are going to notice here.
So now let's begin with that one.
But before that first tree started Conan so that the original bear maybe not get updated.
In that case we will get the output with this.
Now that is done.
And now Randi three files here 1 2 and 3.
There you go.
And again don't forget to Choose the directory figure using the extra.
Any other location.
Now let's begin with importing this one here.
So we have a very variable popular denoting population.
And that will be a period of great underscore CSP.
And then pass and decodes U.S. cities space both dot CSP it done and then we go after that like the
previous one create some variables that is first one let led underscore that is latitude Beal denoting
population that will be equal to list of Popeil.
And if we bring to the head of that one popular dot head here we have these four columns named Bob Boulet
and no.
Come on.
Our next best is one here and require Here let.
So here we have left shifted on David Big of over.
Copy.
This one is to tell or just write in the same set.
This is loan technology to this one also loan.
Similarly we have two more that is name this one also name because we will also print name with the
population of that particular state or city then we have population that is B or B.
And here we have B of being shifted on.
David go with that.
Now create a variable say B or for the voting population that will be first.
We need to feature the group feature group and in that one does name equal to my men shifted on.
Now update this one now that the map is created.
And with this one we will update this one and for that we require the loop again.
We begin with the for loop and this time we are going to have four values here latitude lonely dude
name and population in zip of all these so zip.
And then we have led them to escort Beal lone underscore Beal and then we have name underscore Beal
and last pope underscored Beal and the dots and in that one search for that file
just tragedy.
So here we have the file that is we are going to do.
Bill note and underscore child not defiled solely this index in that one pass photo marker.
First thing we have location and then a location we have latitude and longitude.
So let and longitude then we have a pope on message that is Pope up this time this one also going to
be a list that is first the name or first represent the population.
Then we have the name decides a comma there.
Then we have the name after the last thing icon.
And that will be volume note icon.
And in that one white color equal to say blue and shifted on so here this cell is not done processing
and I have already done this one by just posing the beauty of what I find.
Because in that case I have done it in front of you it will take a lot of time.
Also one thing here I have added B or B you hear that is BP because our variable is B or B here.
That would not show you at all but will not work here.
Now let me move to this one.
And don't forget to choose that one.
So here is the graph you are going to get.
And as you can see here I am scrolling but my Jupiter notebooks are not working fine.
And when I try to let me make this one two this one man I tried to click on zoom as you can see here
I have clicked there but nothing is happening here.
This will work but it will take a time like this one doing right now.
So for that one I have again and the same command in a different cell that is mapped out and underscored
child and then positive variable over population.
Hey I have zoomed the data so that you can have a proper view there but you not able to see that what
is happening there.
Because this one is a big mess now here on this one when you click any of these like this one he will
get the population and the name that is also not working properly like on this one 7 3 0 1 Corbin Bowling
Green and there we have 3 1 1 4 7.
So this is what big data files look with these do your plotting maps and in the next video we will do
something modified this one because we have all these light blue icons showing a bunch of these tanks.
That is something not much user friendly.
So in the next video we will make this one a little interface friendly.
So thanks for watching.
Soon the next video.