Power BI (Introduction)

                                                            Power BI

------->Once we open the power BI the first Image is like below.

------>Then we need to click on Get started.


----->Then we get the image like below then we need to ignore the mail address later we will create and

Provide, meanwhile, click on Cancel.


---->Then click on Get DataWe can see here power BI is integrated(connected) to so many data sources.




----->Then click on more we can see more integrated data sources.


------> Depending on the data source we can get the data like EXCEL, CSV, PDF, JSON, etc...

------->If the data source is an excel sheet, we can click the Import data from Excel, Once click
on this directly it will go to the file location like below.


------->Then we need to select the file and click on open like below.




------->Then we can see the data below.

-------->If we open the two-time Excel sheet from the source it will assign names like below1,2,3
         

                                           
-------->Remove the duplicates like Right Click on the table which table you want to delete.

------>Then select(on all the three tables like below.

------>Under the bottom right corner, we can see two options Load, Transform Data
------->First step we need to click on Transform Data
------->whenever we are received data from the client we need to identify it.
1)what columns are we having the data in?
2)What is the data type?
------>That's why we are not directly loaded the data.

------->Once we clicked on the Transform Data we can see an image like below.
------->If we click on any table in the left top corner the table details are able to show like below.
-------->We can check below what are the data types, we can see below and what the data exactly.
                 1)ABC---means -Varchar (or) String Data types
                 2)123----means ---Integer Data type
                 3)1.2-----means ----Decimal Data type
 
  
           
--------->We can see below 4)Calendar symbol ----means---Date Format.

-------->We can see below 5)ABC 123 symbol ----means ---for null column.
------->We can see all the data type options below.

------>Then click on Close&Apply, we can see the below.


------->Once you click on Close &Apply at the left side top corner, we can see the below images it will try to load the data.
-------->We can absorb the pop-ups like a load below.


------>All the tables which are loaded from the Excel sheet under the fields can see in the below.

----->The below image about Canvas means(Visualizaion Area).

------>Three View we can get in Power BI  Report View, Data View, and Model View.


1)Report View:(Right now there is no visual)


2)Data View:-

3)Model View:-
----->The below image about Visualization area(we can find so many visuals find here).


------->We can expand the columns in the tables in the Fields.

----->We can see all the Visual names  like below in the Visualization Area.
  
------>We have so many visuals out of that we are using like bar chart,donut chart,line graph most of the comman things we are using in real time.
------>But always explore much more make your visualization better.


Ex:-1(Just we are using How Table Visual looking like):-
------>Table visual like below.

------->After select the visual we can get the visulization area like below.

------->Select region on the table columns then we will get the image like below.
-------->Suppoce region wise I want see the sum of sales.
-------->Region wise I want see Including unit price,Shipment_Mode,Country also.

------->Whatever  colmns you are added it will automatically go to the Filters also like below.
------->The above visual(Table)  does't looking good to showcase  to the client.
-------->The visual like below it is looking good to showcase to the client.

------>The above visual is looking to Understand the client Top 3 Performers from Region Wise.
------->Because of that we are choosing different type of visulizations to unterstand how the business looking.






































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