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