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Home » General Tags » Power Query » M Functions » M Table Functions » Table.TransformColumns » Page 2

Table.TransformColumns

Applies a function to one or more columns in a table in Power Query.

Classify Items as Used or New
Posted in
  • ExcelBI Power Query Challenges
  • ⭐️⭐️⭐️⭐️ Advanced

Classify Items as Used or New

Challenge No. 60: Generate the Result table from Problem table.
Solved using: Power Query (Table.AddColumn, Table.Split, Table.SplitColumn).

June 17, 2025July 30, 2025
Mark Unique or Not Unique
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  • ⭐️⭐️⭐️⭐️ Advanced

Mark Unique or Not Unique

Challenge No. 56: Populate Unique and Not Unique for different fruits against each garden depending upon its count.
Solved using: Power Query (List.Distinct, Table.Group, Table.TransformColumns).

June 13, 2025July 30, 2025
Return Repeat Customers
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  • Date & Time Handling
  • ⭐️ Beginner

Return Repeat Customers

Challenge No. 37: Return only dates with repeat customers and repeated customers Dynamic array function allowed but Extra marks for Legacy solutions or PowerQuery Solution.
Solved using: Python in Excel.

May 29, 2025July 11, 2025
Multi Replacement!
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  • ⭐️⭐️ Easy

Multi Replacement!

Challenge No. 115:
Replace “q” and “000” in the Product ID and Customer ID columns with “-“.
Solved using:Excel (HSTACK, LAMBDA, LET), Google Sheets, Power Query (Text.Replace, Table.ReplaceValue, Table.TransformColumns), Python, Python in Excel, R, SQL, and VBA.

May 27, 2025July 11, 2025
Clean Data and Restructure Table
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  • ⭐️⭐️⭐️⭐️ Advanced

Clean Data and Restructure Table

Challenge No. 8: (Excel formulas also welcome)
Clean the data and generate the result table as shown.
Solved using: Power Query (Table.AddColumn, Table.TransformColumns).

April 26, 2025July 30, 2025
Count Unique Subjects Per Row
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Count Unique Subjects Per Row

Challenge No. 6: (Excel formulas also welcome)
Count the no.
Solved using: Power Query (Table.TransformColumns).

April 25, 2025July 30, 2025
Text Cleaning!
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  • ⭐️⭐️⭐️ Intermediate

Text Cleaning!

Challenge No. 64: In the Question table, historical sales values are provided in a single cell, including the Date, Product Name, and Quantity, with a default value of 1 for missing quantities.
Solved using:Excel (DROP, HSTACK, IFERROR), Power Query (List.Transform, Text.Split, Table.Split), Python, R, and VBA.

April 6, 2025May 11, 2025

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  • By Difficulty
    • ⭐️ Beginner
    • ⭐️⭐️ Easy
    • ⭐️⭐️⭐️ Intermediate
    • ⭐️⭐️⭐️⭐️ Advanced
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    • ⭐️⭐️⭐️⭐️⭐️⭐️Complex
  • By Topic
    • Advanced Mathematics Problem
    • Aggregation & Summarization
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    • Column Transformation
    • Custom Grouping
    • Data Cleaning
    • Data Transformation
    • Date & Time Handling
    • Financial Problems
    • Indexing & Ranking
    • Merging & Joining
    • Missing Values
    • Pivot & Unpivot
    • Text Processing
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