Here we go.
So first one is the point plot.
And let me move to the Jupiter notebooks.
So here I have the Jupiter notebooks.
This one is the page containing the dataset.
And here's the example entry.
So first of all before doing anything we need to import Siebel and we can do by just import.
And then Siebel Coleman Verdi's S.A. but you can use any one you want.
So here this one imported successfully.
After that also include here name B and banned us.
They are not going to name them but still.
So if we require that we do not require to again upload applauded them.
After that here first we will consider having the data like out of these that we go for Diamond stored
CSP so to have the data here first.
I have a variable that is diamond and that will be equal to the library we are using in this data is
that is S.A. Stansell Siebel.
Just like the BLT used in MetroCard.
So Ascend is lower underscored the asset because this one is a data set and then the name of the data
set that is diamonds.
And I think this one.
Yes and you do not require to add CSP just the diamonds should return or shift tent on Windows.
You will get that one done successfully.
After that if you try to pin that one they will get they were digitize.
So I hope you got the idea now that these are the data sheets here.
So here we have 5 3 9 4 0 rolls into 10 columns.
These data these three dots here they are hidden there.
So I hope you get that.
We have this much of data that is 5 2 9 4 0 into 10 columns each containing these titles.
So nearly this one five like thirty nine thousand four hundred elements.
Now to check whether the data is successfully uploaded here we use Diamond Head and then panties to
get the first of nearly four or five day does like here we have five it does.
So we will get the idea of columns because if you make this one like that one.
So in that case you need to again and again go for this one column name and then again go to that one.
So that will be a little typical.
So just print here the head so Dot had fences will easily able to get the columns after that.
Now we will move to the plots.
So in case of the point plot we are going to consider here some common one that it's just plot bloat
and Katie EPO.
That is one which we are also looking there but we did not find and I think this not.
So leave that one.
Here we have the DEA plot so soon debts of any plot here is just first the sentence.
It's like the BLT then hey you need to add the name of your whatever deployed you are using just enter
that thing one more thing.
There is no capital in name of any plot like if I need to have this plot then just this.
That is a central distribution then plots it stand for distribution.
But I am considering this one in point plots then they plot this one is same like the Altidore plot
but here we have S.A. and then we have the name of the plot.
And after that here we will pass the parameter that is data and the data is this diamond particular
column.
Like if I need to have the price so I will just do something like Diamond then this backwards and in
brackets pass the price but you will get added.
In this case if you tried to run that one you will get at it and I hope you got that vibe you get.
Still if you do not get then you have that name at it name price is not defined.
Why.
Because as I have told you these are just strings the column names we are just sitting there in these
one indexes but that actually strings.
So here we need to Bostic corpse so make sure you are passing the course and then you will get that
but this one is the line you will get first then after processing you will get deployed.
So here this one is the best block.
Hey if you notice zoom that one you will get these his two drum types of charts here.
Prices on X axes and the actual for them alone by Xs.
So this is how you can load the distribution plots.
After that we have second one.
Now this is all you need to do here.
Now you just gave this graph to anyone who analyzing the data.
Then they will do their own work.
And if you are analyzing data by yourself then just load in the plot in any way you like.
Like I left any other note that I will tell you that what that was.
Which one that was.
And you can pay for any plot and analyze the data by that.
Now the second one that I am going to teach you here is this rub block.
That is just a sentence dot ideology rug and plot.
Then again pass this one just come on C and come on V here.
But now this time that we have something else like X..
So here if you run that one shoot it down you will get the line and then you will get this one.
So this one is like something QR code or barcode.
We can see.
And if you notice this one you will have a continuous line.
And if you'll focus here on this point we also have a break here at this point.
This one small then we have brakes here also in which they lose law.
So these are just high where we have more data and law where we do not have any data.
And if you try to load here price like price here she Britain and let it run you will get something
like this a continuous line.
That's why I have not brought it to the price because I have noticed here that all the values are close
to each other 326 326 327.
Then we are going to have a line there but in X we have a little variable like three point ninety nine
four point two zero.
There is a gap of like point to fight and if we consider these value then point to five is much greater
in case of like here only 1 2 5 10.
So this is the plot.
And this one is something people do not prefer because you do not get the idea about the what's the
happening what these things are happening here and how the data is considered and distributed at different
points.
After that we have the most simple one that is known as the key to implode.
That is just a sentence.
Don't give the E blow then pass defenses and in that just pass the parameter you need to shift return
you will get a line there.
This is one easy more simple chart.
Here you have just won a legend that is price.
This blue line.
And if you notice KDE bloat and bloat then you'll see that this line is seem like it's maximum point
is this 1 3 0.
And here we have this three this one maximum.
And you'd get to finish on twenty thousand and then we have twenty thousand this one one here.
This one also one.
So these are same line and not just idea that policing and this line is not that this protest plot is
the one that is shown in back.
This is a giddy line in this plot.
You can also remove that one just by doing here KDE e that stand for this scary line and then just pass
there false whatever department you do not require.
Just make that font false.
So you will not get that get a line here.
So if you notice we do not have this kiddy line here.
So that's how you can remove that line.
And these are the few basic example I go this one on this table.
You can have much more if you search for them.
That vigil noting the plots so then about the point plot and I hope you get the idea that how easy these
things are here you just need to have the data and plot according to the plot you need to have.
And this one is only when you need to plot only one parameter and that is like that table price.
And that will be variable according to any other parameter according to the data.
So thanks for watching.
We will continue with the distribution plots in the next video.