Now, let's start for missing value treatment in Python.
So this what what observations from Oord EBD.
We have discussed point three in our Outlander video.
Now we will be discussing about this other missing, well, losing and Hause bets variable.
The best way to identify missing value is just to take and full of data frames will be if not in full.
Here you will see the total number of values for all the variables.
There is only one way to even, which is.
And Herzberg's where the total number of values is less than five zero six.
Therefore, this confirms that and Horsburgh contain missing values.
You can.
Also, look at EDT to identify missing, let loose.
But then a duty you only get.
Values of numerical variables.
This will give you details of what it calls variables as well.
Greeting missing, well, it was fairly easy in Biton.
To impute missing values, we will use.
Fail and they function.
So will they be, if not our column name, which is.
And was birds.
We.
Equal to.
Since we want our imputed data to again, Jane Doe is not the values in our data.
So.
All right, B.F. Dorte and Husbands.
Don't feel any.
And since we want to replace this value with the mean of our hospital beds.
All right, B.F. Dorte and husbands.
Not mean what this function is actually doing is.
Plus, it is calculating the mean awful what really well, which is beef and Herzberg's.
Then whenever I would be of dot and cause bags and there it is, filling those blanks with this mean
value.
And after filling all the missing values, we are again saving this day.
And it or is not ordinarily to.
If on this.
Missing values are not imputed.
If we take in full of our day Dufferin, I'd be if not in full.
You can see.
Now, the count is five 06 and set off for 98.
So we have faith, all of it missing, we're loose with the meaning of that column.
Now, if you want to do missing, well, you ambulation for all of the columns.
You have to, right, B.F.?
Don't feel any.
And then record this right.
B.F. Dorte Mean.
And again, we have to save this data frame again and D'Oro reasonable little frame.
So we'll read BFE to be if.
Not in there this way, Lou, for all the columns, but since we want a specific solution for each of
our columns, as we mentioned, in what to reelected, that for some variables, we won zero.
For some variables we want me mean for some variables.
We want more.
That's why we have.
We have used specific variables.
They impute our missing value.
This statement is not needed yet, as we have already imputed our missing values.
Now we'll see what did you buy the notebook with?
Go on.
Change the title of your notebook.
And click on say first and then say that so you do missing well, the amputation in Biton.
Thanks.