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1. Introduction and video topics
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2. What does Group By do?
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3. When to use Group By or other tools such as PivotTables
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4. Basics of Group By feature
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5. Table.Group M Code function
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6. How to Hack Group By dialog box to get the User Interface to write most of the M Code Standard Deviation calculation
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7. Type M Code for Group By Calculation Unique List of SalesReps who Sold Product
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8. Ranking in Power Query
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9. Group By: Two Conditions
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10. Sort by Multiple Columns Different than in Excel
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11. Sort a List
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12. Group By Back-To-Back: Frequency Distribution For Failed Student Classe Combination
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13. Group By: Add Blank Row After Each Group Bill Szysz
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14. Table Literal
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15. Join operator to append tables
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16. Group By 4th Argument: Consecutive Occurrences
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17. Video Summary and Conclusions
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18. Closing and Video Links
Description:
Dive into a comprehensive 34-minute tutorial on Power Query's Group By feature, exploring 10 practical examples ranging from basic to advanced applications. Learn how to leverage Group By for calculations and data analysis, understand when to use it versus other tools like PivotTables, and master the Table.Group M Code function. Discover techniques for hacking the Group By dialog box, typing M Code for unique list creation, implementing ranking, handling multiple conditions, and sorting by multiple columns. Explore advanced concepts like frequency distribution, adding blank rows after groups, using table literals, and working with the join operator. Gain insights into consecutive occurrences and walk away with a solid understanding of Power Query's Group By capabilities for enhanced data manipulation in Microsoft 365 Excel and Power BI.

Power Query Group By - Complete Lesson with 10 Examples

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#Business #Business Intelligence #Microsoft PowerApps #Data Science #Data Analysis #Mathematics #Statistics & Probability #Frequency Distribution #Power Query
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1. Introduction and video topics