Now let's move on to next liability which is Seabourn seaborne is a liability for the damages relation
most commonly used laboratories is my lord live.
But for our courts we think that Seabourn is much more so that that's why we will be discussing Seabourn
on The View on.
You can learn about my art live on the air on
but we will import the sea one never to be.
We will import seaborne as as soon as
so the ever imported sea monies as a..
No do not no distribution of offered each variable from August summer table will write as an S not this
lot in record I would mention my column name it is summer return to but what is a
you can see this is scroll down offer each variable.
This first creating bands of all the ages so the minimum value in our age very well is 18 and the maximum
is 17.
By then this created the trend bands between these two values and then the number of variables in those
bands in the form box.
This is called its program.
You can see more so for the summer out in this last book this line is also known as daily e Cardinal
density estimate and we are not going into explanation on how popular I want this length.
So we are just going to remove this length to remove this line when right as soon as door is locked.
Do not H
and then to equate to false
again.
See no ambiguity.
9 This remove if you want to see arguments of any function you can just stay help and record.
You can write that function for example.
In our case we write a sentence but it's not
will show you the syntax of that function on the variables that it is taking and their default values
of those variables.
So by default.
E was screwed.
That's why we were getting the QED plot and you can tease the value defaults to remove the clarity.
Similarly there are other variables as well.
You can create a lot if you write drug equal to crew.
You can have a look at this and read the documentation.
Now we will change the color of this graph
as you can see color is also variable.
We will just stay as soon as down this block
color equate to Red
Riding double quotes.
Then this can see the color as not change right.
SEABORNE library comes with various data sets.
Now we will just import one off such database also known as itis so in right.
Iris Iris is a weird name off it even in the United States.
And then right as in this dot Lord underscored the.
And then record right Iris
run this began to assemble of this dataset by using iris dot tag.
So our data contains five columns set by Len separately.
I can Len battle with an SBC.
This is the detail of lovers where we have separate blend up on the way back to London by Kelvin and
then the specie of the Clover.
You get the number of columns will write Iris dots shape
and then this.
You can see there are total 150 rows and there are five columns you want to get the mean value median
value minimum value and maximum value.
We can also write Iris or describe
this really show us some statistics of on these four columns.
Now with this scatter plot between Sep and and wait to move back will write as an S dot joint Lord
what X really well should we step on Len write Zeppelin
and Vivaldi will step with the separate
and then I would do that is Iris
we done this.
We are getting a scatter plot between Sep length and separately on the top we have a distribution of
Sep in length and the right hand side we have a distribution of SAP underway
there are other variations of this scatter plot also if you want to change the colour of this dot the
size of this dot if you want to leave large with this program it could be our daughter third year you
can find all this with the help option join and we discuss that during our unique period analysis next.
Another important function this spare plot.
So while doing our analysis instead of plotting scatter Lord for all the variables we can do it for
all the variables using just one command.
That is as soon as Dot bare plot
and in record we just supplemented their data frame.
There is Iris.
It will create scatter plot for all the variables
for example.
This is a distribution of SEPA land.
This is a skydive out of step on land step on way.
This is a scattered lot of SEPA land then back to land.
This is a scatter plant offset by land impact on the way.
This is a very useful command and in the single combine we can get scattered Lord for all over variables.
That's all for this with you and that's all for Python crash course.
This is just a crash course.
We are not covering anything in deep and as we go along.
We discuss on this things in more detail and its application.