Hello in this lecture where do you learn how to detect the outlier in a data series with the help of
the standardized values that course.
I will check whether the variable income from this date of Cray.
The more present outliers First of all that compute the standardized value of the variable using the
function k.
Please don't forget that you have to set these auctions scale to true in order to get the standardized
values.
I was taught the values in a new variable called the code.
Ok and now let's sort through this factor is IMHO decreasing from the highest to the lowest values.
Ok here in the console we have all the values of all the standardized values of the incoming variables.
The value the vectors Zingo.
Now let's look here to see whether we have values greater than 3.
They are our extreme values our outliers.
And you'll notice that we have here quite a few values 7 values higher than 3.
Here on the first line.
So these values are seem to be extreme values in our data series.
Now we go down to the bottom to see if we have values lower than minus three.
So again higher than three in absolute values are the lowest value here is minus zero point sixty one.
So we do not have outlier here at the bottom.
So the on the outside of our data theoretic are the ones the values on the first line higher than the
three that go for detecting the outliers.
Thank you.