1. VISHAL CHOUDHARY
PCE-JAIPUR
Power BI
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2. Business Intelligence
Set of tools and technique used to transform raw
data into meaningful information in order to take
business decision.
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3. What is Power BI
 Power BI is a business analytic service provided by
Microsoft. it is a integrated tool for data
visualization, data integration, data sharing with self
service business intelligence capabilities.
 It also provides cloud based platform along with
Desktop platform.
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4. Microsoft offers three types of Power BI platforms:
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 Power BI Desktop (A desktop application)
 Power BI Service (SaaS i.e., Software as a Service)
 Power BI Mobile

5. History of Power BI
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 Power BI is a Microsoft’s product initially released
on 11th July 2011 with name “Project Crescent”.
 In September 2013, Microsoft changed the name to
Power BI and launched it for the public.

6. Power BI Architecture
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 Data Integration
In Power BI, we can import data from different kinds
of data sources in different formats. In the data
integration step, Power BI brings data together
(extracted) from different data sources and converts it
into a standard format. After data is integrated into
Power BI, it is stored in a common storage area known as
the staging area.

7. Power BI Architecture
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 Data Processing
Once Power BI integrates and stores data at a secure
place, the raw data requires some processing. Several
processing or cleansing operations transform the raw
data such as removing redundant values, etc

8. Power BI Architecture
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 Data Presentation
In this final phase, the processed data moves from the
warehouse and goes into the Power BI platforms like
Power BI Desktop to create reports, dashboards, and
scorecards. Power BI offers a wide range of
visualizations. We can also import custom visualization
from the marketplace. From the report development
platforms, we can publish the reports on the web or
mobile apps to share it with other business users.

9. Power BI Architecture
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10. Characteristics of Power BI
 Real Time trends- traditional tools analyze
historic data but power BI can analyze real time
data so it can identify issue in real time
 Auto Searching capability –automatically
search datasets for hidden insight
 Advanced Analytics-allow you to visualize data
in almost every way. What every you imagine you
can put on your dashboard
 Enterprise ready- with power bi desktop you
can connect to your own data source e.g sql server
or other data sources.
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11. Users of Power BI
 Developers –
Developers are responsible for all the technical work.
Their key roles are to create custom visuals to be
used in Power BI, embedding Power BI into other
applications, creating reports, etc.
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12. Users of Power BI
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 IT professionals –
The IT professionals are mainly concerned with the
scalability, availability, and security of data. They
also centrally manage all the Power BI services and
users.

13. Users of Power BI
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 Analyst-
Analysts use Power BI to develop reports, dashboards,
data models and study them to discover valuable insights
in the data. Power BI offers a wide range of data sources
from which an analyst can extract data, make a common
dataset, cleanse and prepare that data to make reports
and conduct analysis.

14. Users of Power BI
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 Business Users
The business users are the common users who study
the reports and dashboards available to share with
them on the Power BI website or mobile app.
Business users remain updated with the latest
information which helps in taking important
decisions in time.

15. Benefits of Power BI
 Pre-Built dashboards and reports for popular SaaS
solutions.
 Real Time dashboard updates.
 Secure live connection to your data source
 Can use natural language query for data exploration
 Fast deployment
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16. Components of Power BI
 Power query- used to search public and internal data
 Power pivot— it is used for modeling. can import data
from multiple source in to single workbook. Can make
relationship between heterogeneous data.
 Power view— data visualization technology enable us
to create interactive chart, graphs and maps.
 Power Map- used to explore map and time based data
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17. Building Blocks of power BI
 Visualization- A visual representation of data it
may be chart or table
 Datasets- A collection of data that power BI uses to
create visualization
 Reports- A collection of visuals from datasets
contains one or more pages
 Dashboard- a single page collection of visuals built
from a report
 Tiles – it is the frame around the visual or chart.
you can rearrange it on Dashboard.
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18. Installation
Type URL
 https://powerbi.microsoft.com/en-us/desktop/
 Click download
 Run the installation
 Create power BI account(only needed for using cloud
based application)
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20. Now we need dataset for analysis
 Click on get data
 Select web( as we are using a data set from website)
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22. Search world economic outlook database on
Google
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23. Now select By Countries (country-level data)
 All countries
 continue
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24. Select- Gross domestic product, current prices
U.S. dollars and press continue
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25. Press –prepare report
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26. Now copy and paste the url in our desktop BI
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27. And press ok
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28. Select document and web view it shows web page
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29. Now select table 1
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30. And press load
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31. We want to remove top row in query editor in
order to clean the data
 Click home
 Then see the icon to remove top row
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32. Enter the number of row that is 1 and press ok
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33. Now click first row as header
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34. Now the top column appear as shown below
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35. To delete particular column(country /series
specific note) select the column
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36. And remove the column
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37. Also delete last column
 Ctrl+shift all year column
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38. Click transform and then unpivot cloumn
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39. Multiple columns changed to rows
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40. Now rename the attribute column to year and
value column to GDP
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42. We need meaningful data in GDP column and if
there is any n/a we remove it by clicking empty
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43. Change the data type of GDP from text to decimal
number and see symbol changed from abc to 1.2
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44. Detect data type can change the format
automatically as in case of year
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45. Clean data step over-Next step is to load data to
create visualization
 Click Home Button and then click close and apply
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46. You will see the interface as shown below
There is report view icon, data view
and model icon
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47. Click on data view and select country column
and click column tool and then data category
Coulmn tool
data category
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48. Click country
Icon change
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49. Now go to report view by clicking report icon
Report icon
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50. Now click stacked column chart
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51. drag GDP to value field
GDP value field
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52. Now drag Year to axis area
Year
axis area
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53. Drag Country field to Legend field
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54. Now we can apply filter to select top10 country
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55. Top 10 by GDP(drag and drop GDP here)
Apply filter
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56. Now only top 10 country in visualization
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57. Change the visualization to map
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59. So far we have discussed up to Report view
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60. You can publish report on cloud
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61. Just save and publish to my workspace
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62. Now report will appear on cloud platform
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Practice on your Desktop Power BI
Tool

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For any query E-mail :
vishal.choudhary@poornima.org