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Home » General Tags » Power Query » M Functions » M Table Functions » Table.Group » Page 8

Table.Group

Groups rows in a table based on specified columns and applies aggregations in Power Query.

Length Of Pattern!
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Length Of Pattern!

Challenge No. 145: Find the largest length of occurrences of the “++-” pattern across the test IDs for each product.
Solved using:Excel (CONCAT, GROUPBY, LAMBDA), Google Sheets, Power Query (List.Transform, Text.Combine, Table.AddColumn), Python, Python in Excel, and R.

June 26, 2025July 11, 2025
First Date Of Months!
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First Date Of Months!

Challenge No. 144: From the provided “transactions” table, filter the first transaction for each.
Solved using:Excel (DROP, FILTER, LAMBDA), Google Sheets, Power Query (Date.Month, Table.AddColumn, Table.Group), Python, Python in Excel, and R.

June 25, 2025July 11, 2025
Custom Grouping! Part 9
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Custom Grouping! Part 9

Challenge No. 143:  Groups the sales values every week starting from Friday days starting from 1/1/2024.
Solved using:Excel (GROUPBY, LAMBDA, LET), Google Sheets, Power Query (Table.Group, Date.WeekOfYear, Table.AddColumn), Python, Python in Excel, and R.

June 24, 2025July 11, 2025
Table Transformation! Part 15
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  • ⭐️⭐️⭐️ Intermediate

Table Transformation! Part 15

Challenge No. 142: The Question table contains information about the fingerprinting times for various personnel when entering the company.
Solved using:Excel (DROP, HSTACK, IF), Google Sheets, Power Query (Table.AddColumn, Table.Group, Table.Pivot), Python, Python in Excel, and R.

June 23, 2025July 11, 2025
Fill Up And Down !
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Fill Up And Down !

Challenge No. 141: For each blank cell, replace the null value with the value from the row above that has the same ID.
Solved using:Excel (FILTER, HSTACK, IF), Google Sheets, Power Query (Table.Group), Python, Python in Excel, and R.

June 22, 2025July 11, 2025
Golden Period!
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Golden Period!

Challenge No. 140: For each customer, extract the ten consecutive days with the highest purchases.
Solved using:Excel (FILTER, HSTACK, IFS), Google Sheets, Power Query (Table.AddColumn, Table.Group), Python in Excel, and R.

June 21, 2025July 11, 2025
Custom Grouping! Part 8
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Custom Grouping! Part 8

Challenge No. 139: The stock prices for the given dates are provided in the table.
Solved using:Excel (VSTACK), Google Sheets, Power Query (Table.Group, List.Combine, List.Transform), Python, and Python in Excel.

June 20, 2025July 11, 2025
Sum Bird Quantity Alphabetically
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Sum Bird Quantity Alphabetically

Challenge No. 64: Looks like yesterday’s problem was a difficult one as only one person responded.
Solved using: Power Query (Table.Group, Table.Sort).

June 19, 2025July 30, 2025
Filter Values Based on Table
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Filter Values Based on Table

Challenge No. 61: Generate Result table on the basis of T1 and T2.
Solved using: Power Query (List.Distinct, Table.Group, Table.Pivot).

June 18, 2025July 30, 2025
Identify The Pattern !
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Identify The Pattern !

Challenge No. 135: Find the number of occurrences of the “+-+” pattern across the test IDs for each product.
Solved using:Excel (BYROW, CONCAT, DROP), Google Sheets, Power Query (List.Range, Text.Combine, Table.AddColumn), Python, Python in Excel, and R.

June 16, 2025July 11, 2025

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BYROW CHAR CODE CONCAT DROP FILTER HSTACK IF IFERROR INDEX LAMBDA LEFT LEN LET List.Distinct List.Transform LOOKUP MAP MATCH MAX MID MONTH Python Python Automation Python for Data Analysis Python for Excel REDUCE ROW ROWS SCAN SEQUENCE SORT SUBSTITUTE Table.AddColumn Table.Group Table.SelectRows TAKE Text.Combine Text.Split TEXTJOIN TEXTSPLIT TOCOL UNIQUE VSTACK XLOOKUP

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  • By Difficulty
    • ⭐️ Beginner
    • ⭐️⭐️ Easy
    • ⭐️⭐️⭐️ Intermediate
    • ⭐️⭐️⭐️⭐️ Advanced
    • ⭐️⭐️⭐️⭐️⭐️Expert
    • ⭐️⭐️⭐️⭐️⭐️⭐️Complex
  • By Topic
    • Advanced Mathematics Problem
    • Aggregation & Summarization
    • Column Splitting
    • Column Transformation
    • Custom Grouping
    • Data Cleaning
    • Data Transformation
    • Date & Time Handling
    • Financial Problems
    • Indexing & Ranking
    • Merging & Joining
    • Missing Values
    • Pivot & Unpivot
    • Text Processing
  • By Creator
    • Omid Challenges
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  • Books
    • 96 Common Challenges in Power Query