Hey everyone.
Before moving to the Lords there's something I need to tell you here and that's something I believe
important that what we are going to study in this module we need to categorize this module.
Otherwise you will get any problem there.
So first thing is not like the metallurgy there have been everything from the beginning like how the
X label is denoted how y level is appointed and how these points are created there.
Every syntax because that's what you have already done.
Handy seaborne we are going to move on floats that how we can analyze the professional data by using
these blobs and that's what you will get in your companies and industries or in any project.
And we are going to work on the same type of data that you will get on all duty places like in your
job in your projects or in your industries.
So now before categorizing the module there there's one thing that we're going to develop the data our
own.
So if you have seen the data the data will look like something this one this one is a excel sheet and
in a program this will be like this one.
Have you noticed this one is something like a data entry that is developed by using bound.
And here we have more adoption.
This one is an Excel sheet.
First you will get the data annual access you then you will create that one in your bonds data frame
and then you will use that one on your programs.
But we are not going to waste over time creating the data and making the data frames because this process
is I believe very low.
It takes a number of hours and then you will be able to create only one data offering because you need
to enter all the values again and again and check whether something right or wrong so we are going to
use some data shoots that are predefined with Siebel that are available in the Siebel library.
So you just need to load these files and you will get these data sheets for that data sheets you need
to go here just write data sets in Siebel
they will get this website Seabourn don't load underscored Data Set Don't Go for the official seaborne
one that is not showing here
likely that one that something like a I go here because we also need network so if you just google out
Siebel and you will get this one seamless statistical data visualization don't go for that one then
it will be a little complex to find these go for this one the state data sets in Python or data shoots
in the seaborne sorry their base and get to the Web site heavily a the speech on this page you will
have a link here that is denoting the tub dot com because Seabourn is officially released at its hub
and there you will find every five to Siebel so here if you click on that one it will direct you to
the IT hub page very you have the datasets here these CSC files that you have we have also loaded in
upon the section so these are some predefined files which are going to use here in this module and some
of these we are going to need is this one it is good CSP tips NTSB and diamonds NTSB you can use anyone
you want to but I have selected these three because tips is what using every kind of like teaching one
because it has all types of data and has much viz. that bill I will tell you that protecting and this
is about the data that from there we are going to get the data to analyze that one and you can also
involve your own data that you are working on if you are looking in at any project then you can have
that data also.
Now let me move to the plot.
So here I have got radicalized deployed in four basic parts.
Two things here.
This categorization is not official like it will get this one on the Google or anything else.
I have just categorize them on a simple basis.
So you will understand them better.
You can classify them as you want to or you can just go for the official one like what the distribution
type and all that data.
And second thing here these four no do not include all the plots here.
These four just include the plots to require new projects like they are the plot also that is known
as regression plots that are something related to machine learning and because this one is a topic of
that part and if you are working on machine learning because data sciences in general is to learn for
machine learning then I will also tell you about duplication plots and modification is now here.
I have defined these four categories these four categories are defined in a V like if I have the official
seaborne website and if I move to the category you will find different groups here.
And if you plot on any plot like if I go for this one Katie
then you will find this one.
This is the main we can see.
That means in Texas uploading the data head in that one you find different parameters.
That is X here by here see map shared true.
These parameters are just for the styling or we can see some extra things required in any plot.
But first two are denoting the labels.
That is what is on accesses and what is on Vi X is based on these two.
These four categories are categorized here.
Like if you notice here we have two wells that is X and Y.
And if you go for something like Here let me search did this load and if I open line plot also
so here.
Line plot also include two parameters
and no deadline.
Maybe that one is not shown here.
But the thing I need to tell you here like when we have open the one like line built here.
If you notice here we have two parameters in those we have two different parameters.
They are distorting the distribution blocks.
If I have any data shoots like let me open one or just load anyone from these into your dataset but
let me take a simple example.
Go to the images and if I open this one any random one then you will notice here we have different columns
some columns have numeric value some have strings and the strings are not listed here like this one.
Here we have some have strings some have numbers and some have floating point values.
So first we have point plots they are the plots that uploaded like the simple plot but they have only
one parameter defined by user out of these columns or all these.
If I just load any graph on the basis of frequency here and the second component will be maybe that
one numbers or anything the computer want to set up there based on that one the frequency is vetting
then those plots are known as Point plots in which we have only one parameter will officially point
plots or something else.
If you search on here on this one you will also find a point plot there.
And again I would not be able to find that one let me suggest that here.
I have point blowout
and David over DC on point plot.
You will find something like these.
This is known as the point Lord in Siebel.
But this categorization here point plots doesn't mean this one that only mean we are using only one
column.
Or we can see one parameter.
Here we have two barometer total bill and pay.
So this will fall in distribution process.
So distribution codes include in which we have two columns.
Like if a plutocrat between hope and frequency that how much frequency is vetting and variation of host
then that will be a distribution program that I am using two columns or against it.
Two parameters different one to show did its own deletion that how they are betting with each other.
Third one is the category plus category.
Blood is something like when I am plotting a numerical value with any string value like if I have a
number of smokers in a city then I would float a graph on that one that how many smokers do we have
and categorized them according to male and female.
Then those blows are known as category blocks.
I hope you got the idea after that we have met explode.
There's something else I will tell you while we are working on that one so I hope you got the idea that
what the four plots are and how I have categorized them these two are the official one that I will tell
you you will get the same result for them.
But these two are something I just made to make you understand better.
You can also learn that one in play but this will help you more after that.
One more thing like the data why we are not creating the data in this body next because whenever you
are going to work on any project 9 in 90 percent cases you will find that data already made by any other
person because there are a number of data scientist working on data science projects and students also
limit the data files by day.
So don't waste time on making the data files.
And if you are looking for any particular data.
I but you have defended the line just get that file and change the data according to your say.
Like if you are uploading marks of students or heights of student then just download any data related
to that front and change the data according to that like changed the names and change the Heights.
That's the normal way of working because if you take a simple example like we have seen six mobile companies
and we have some users that are working or using their cell phones or SIM cards then these all the six
companies will not get data from every single user.
They will do something like either integrate this area in six part like you take this one I take that
one and then we will share the data with any one company can get the data and it will sell the data
it does so never get worried about the data retention of data is very easy.
If you go for easy they like in a smart way.
And if you are going like I will create my data my own then that is also good.
But that good news consume your time and network time is the first parameter.
Anyone observe while taking you on any job or selecting you for any job.
So thanks for watching.
I hope you got the idea that what we are going to do here and how the points are categorized more you
will get these ideas that what they are when we dominate them.
So from the next video we will work on the point.
So thanks for watching and we will continue in the next video.