Consecutive Grouping - Power Query Challenge 43

Do you need to transform nested data into dynamic columns for better analysis? In this video, I’ll show you how to extract lists of dates for each product and turn them into clean, structured columns. With a few simple steps, you’ll learn to leverage Power Query’s flexibility to handle complex data transformations.

This tutorial is perfect for anyone looking to simplify workflows and master nested table manipulations.

In This Video:
📌 Step 1: Group Data by Product
Learn how to group data into nested tables to isolate details by category.
📌 Step 2: Extract Key Information
Understand how to drill down into nested lists and extract only the values you need.
📌 Step 3: Transform Lists into Columns
Use the Table.FromColumns function to dynamically create columns for each group.
📌 Step 4: Polish the Output
Ensure the final table is structured and ready for analysis.

What You’ll Learn:
✔️ How to group data and retain all rows for flexible transformations.
✔️ How to handle nested lists using basic M code.
✔️ How to create dynamic columns with minimal steps.

This method is efficient and adaptable to many data-cleaning scenarios.

Resources Mentioned:
🔗 Power Query Challenges Playlist:
[ Ссылка ]

✅ Like and subscribe for more Power Query challenges!
✅ Have any questions or suggestions? Let me know in the comments!

⏰ Timestamps:
0:00 Introduction
0:14 Step 1: Group Data by Product
0:33 Step 2: Extract Date Lists
0:38 Step 2: Grab dates
1:21 Step 3: Table.FromColumns function
1:45 Summary

Try these techniques in your own projects and leave your thoughts in the comments!

🔔 Subscribe for More Tutorials:
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Links:
CHALLENGE AUTHOR: Omid Motamedisedeh (designed by Mehmet Çiçek)
1) LinkedIn Profile: [ Ссылка ]
2) Power Query Challenge: [ Ссылка ]
3) Download the file: [ Ссылка ]

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