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Home » General Tags » Power Query » M Functions » M List Functions » List.Transform » Page 23

List.Transform

Applies a function to each element in a list in Power Query.

Assignment Problem (Part 2)!
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Assignment Problem (Part 2)!

Challenge No. 50: In the continuation of the previous challenge, we reach the question table as the normalized table, in the rest of the algorithm the below step should be done.
Solved using:Excel (AND, BYCOL, BYROW), Power Query (List.Transform, Table.Column), Python, and R.

February 26, 2025April 28, 2025
Assignment Problem (Part 1)!
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Assignment Problem (Part 1)!

Challenge No. 49: Assignment Problem is a well-known problem for assigning tasks to different people by the minimum cost and we want to solve it with The Hungarian method within two challenges.
Solved using:Excel (BYCOL, BYROW, HSTACK), Power Query (List.Skip, List.Transform, Table.Column), Python, and R.

February 25, 2025April 28, 2025
Table Transformation! Part 7
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Table Transformation! Part 7

Challenge No. 48: The table below presents various combinations of heuristic algorithms used to solve a problem, each combination separated by a “+”.
Solved using:Excel (COUNTIF, HSTACK, IF), Google Sheets, Power Query (List.Distinct, List.Transform, Table.AddColumn), Python, and R.

February 24, 2025April 28, 2025
Custom Grouping! Part 2
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Custom Grouping! Part 2

Challenge No. 46: The “Question” table provides a list of Product IDs.
Solved using:Excel (CHOOSECOLS, DROP, FILTER), Power Query (Table.Group, List.Transform, Text.End), Python, and R.

February 22, 2025April 28, 2025
Text Split!
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  • ⭐️⭐️⭐️ Intermediate

Text Split!

Challenge No. 45: The “Question” table contains product IDs of varying lengths.
Solved using:Excel (LAMBDA, LET, MID), Power Query (List.Transform, List.Zip, Table.AddColumn), Python, R, and VBA.

February 21, 2025April 28, 2025
Table Transformation! Part 6
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Table Transformation! Part 6

Challenge No. 41: Convert the data from the question table into the result table, arranging the information so that each product is detailed in separate rows.
Solved using:Excel (FILTER, HSTACK, LET), Power Query (List.Transform, Table.RemoveColumns, Table.Sort), Python, and R.

February 17, 2025April 28, 2025
 Cross Selling!
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 Cross Selling!

Challenge No. 40: In online markets, when customers add items to their carts, other products, known as complementary products, which are often purchased with the selected items, are suggested to boost sales.
Solved using:Excel (ARRAYTOTEXT, FILTER, HSTACK), Power Query (List.Transform, Text.Split, Table.AddColumn), and R.

February 16, 2025May 11, 2025
 Duration Since Last Visit!
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 Duration Since Last Visit!

Challenge No. 38: In the question table, the visiting dates for all 4 agents are provided.
Solved using:Excel (AVERAGE, DROP, EOMONTH), Power Query (List.Transform, Table.AddColumn, Table.Group), Python, and R.

February 14, 2025April 28, 2025
 Connected People!
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 Connected People!

Challenge No. 37: In the question table, the IDs of 20 people who call each other are provided.
Solved using:Excel (FILTER, HSTACK, LAMBDA), Power Query (List.Transform, Text.Combine), Python, and R.

February 13, 2025April 28, 2025
Pareto Line
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Pareto Line

Challenge No. 36:  In Multi-Objective Models, Instead Of A Single Solution, We Encounter A Pareto Front That Includes All Non-Dominant Solutions, And In This Quesion We Want To Extracth All Non Dominant Solutions.
Solved using:Excel (BYROW, FILTER, LAMBDA), Power Query (List.Transform, Table.SelectRows), Python, and R.

February 12, 2025April 28, 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
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    • ⭐️⭐️⭐️⭐️ Advanced
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  • By Topic
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    • Custom Grouping
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    • Financial Problems
    • Indexing & Ranking
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    • Missing Values
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