Hi there, welcome back.
In this video, you will learn how to install an El Python module to use it with Python Banda's module
to scrap HTML5 from a specific webpage.
So we will open ACMD and install the XML file module as the following web install l x m l.
Then we will return to our project at the lab and import pendas module as the following on board Banda's
as PDE.
Then after run the cell, we will assign a variable called data to the data that Banda's has read from
a webpage that we specified inside the Reed Underscore XHTML method and the following data equal b'day
dot Reed underscore Actimel between two brackets and two parentheses at our website, then run the cell.
Then we will print the data, which contains all the data from the HTML file of the web page as you
see in the form of list.
And then we will print the first item in the list and assign this first item of our list in that a frame
called the F, then print the data frame.
It contains the table from our Web page.
So if we want to get the first column, we will type the following code using our data framed F as the
following the F between two square brackets, the column name.
So the F between two square brackets,
popularity, unique visitors per month at will print this column and return all values inside this column,
as you see.
Also, we will do that for the websites column and front end side column also as a follow.
But in case of website, this is a column name consists of one world, so we can use that column name
method.
The F between two brackets, back end server side, it will print that column.
Now we want to do statistics to the column of popularity, unique visitor Bill Months as a.
We will use the following method, the first method.
We will use the F between two square brackets dot method that will return.
The mean of that, the values of the popularity unique visitor Burmans dot mean medium for million dollar
standard deviation for standard deviation.
The variance for variance and describe for all of that count mean standard deviation minimum and twenty
five which is the fairest quartile.
Fifty percent is a second Alstyle and is the median in the same time.
Seventy five percent which is third quarter and the maximum value.
That's all for the statistics for that column.
So if we want to do all statistics for this specific column that contains numbers, we use those described
methods.
At this point, we reached the end of this lecture.
I hope you enjoyed this lecture and to get all of that, thank you for being here.
That's all for this video.
Thank you.
Thanks for watching.
See you next with you.