‫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.