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Power Query - 2 : Data Cleaning and Transformation | Power BI Basics | DataSkills Academy 

DataSkills Academy
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This video dives deeper into the capabilities of Power Query in Power BI. We explored advanced functionalities like the 'Group By' tool for insightful data aggregation, 'Combine Tables' through Append and Merge Queries for comprehensive data integration and delve into sophisticated column operations including Pivot and Unpivot, cleaning Text columns, and the Extract feature for precise data manipulation.
This tutorial is perfect for those looking to leverage Power Query for more complex data preparation tasks, ensuring your data is analysis ready. Let's unlock the next level of data transformation together!
0:00 Intro
0:30 Group Rows
2:30 Append Queries, Merge Queries
5:05 Use First Row as Header
5:40 Convert Data Types
6:20 Rename Column
6:48 Replace Values
7:13 Pivot and Unpivot
8:50 Column Formatting
10:15 Column Extract
12:16 End
🔗 Dataset: www.kaggle.com...
🔗 Power BI Basics Series:
• How to Download and In...
• Understanding Power BI...
• How to Import Excel Da...
• Power Query - 1 : Data...
• Power Query - 2 : Data...
• Power Query - 3 : Data...
• Create Data Visuals - ...
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Background Music Copyright:
Track: Different Heaven & EH!DE - My Heart [NCS Release]
Music provided by NoCopyrightSounds.
Watch: • Different Heaven & EH!...
Stream: ncs.io/MyHeart
#powerbi #powerquery #datavisualization #datacleaning #dashboard

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18 авг 2024

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Комментарии : 2   
@tirthadatta7368
@tirthadatta7368 5 месяцев назад
In column format part, can you please explain what is the use of clean?
@DataSkillsAcademy
@DataSkillsAcademy 5 месяцев назад
Clean function removes non-printable characters from a text string. Non-printable characters are often invisible and could have been introduced into a dataset through data entry errors or importing data from external sources. Text String >>> Clean >>> TextString Here “ ” represents a newline character (a non-printable character), the Clean function would remove this newline character.
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