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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.