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Home » General Tags » Power Query » M Functions » M Text Functions » Text.Start

Text.Start

Extracts the first N characters from a text string in Power Query.

Pivot Data To Columns
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  • ExcelBI Excel Challenges
  • Pivot & Unpivot
  • ⭐️ Beginner

Pivot Data To Columns

Challenge No. 667: Pivot the data as shown.
Solved using: Python.

January 29, 2026July 21, 2025
Insert Yearly Sum Totals
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  • ExcelBI Excel Challenges
  • ⭐️ Beginner

Insert Yearly Sum Totals

Challenge No. 660: Insert the sum for the year after the year ends.
Solved using: Python.

January 26, 2026July 21, 2025
Generate Sequential Ticket Numbers
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  • ExcelBI Excel Challenges
  • ⭐️⭐️ Easy

Generate Sequential Ticket Numbers

Challenge No. 620: Create the ticket numbers for each State.
Solved using: Python.

January 6, 2026July 11, 2025
Match Names with Same Initials
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  • ExcelBI Excel Challenges
  • ⭐️ Beginner

Match Names with Same Initials

Challenge No. 612: List the names if first character of first name and first character of last name are same.
Solved using: Python.

January 2, 2026July 11, 2025
Column Splitting! Part 3
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  • Column Splitting
  • Excel Challenges
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  • ⭐️⭐️ Easy

Column Splitting! Part 3

Challenge No. 156: If the IDs contain an even number of characters, split them into two columns at the midpoint.
Solved using:Excel (HSTACK, IF, IFNA), Google Sheets, Power Query (List.Transform, Text.End, Text.Start), Python, Python in Excel, and R.

July 7, 2025July 11, 2025
Find Customer Stats With Conditions
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  • ⭐️⭐️⭐️⭐️ Advanced

Find Customer Stats With Conditions

Challenge No. 44: Generate result table as shown.
Solved using: Python in Excel.

June 1, 2025July 30, 2025
Convert Roman to Decimal
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  • ⭐️⭐️ Easy

Convert Roman to Decimal

Challenge No. 154: Convert from Roman to Decimal.
Solved using: Python in Excel.

June 1, 2025July 11, 2025
Match employee names using wildcard
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  • ⭐️⭐️⭐️⭐️ Advanced

Match employee names using wildcard

Challenge No. 36: There are two tables.
Solved using: SQL.

May 24, 2025July 30, 2025
Extract From Text! Part 1
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  • Text Processing
  • ⭐️⭐️⭐️ Intermediate

Extract From Text! Part 1

Challenge No. 71: Extract all the emails from the text provided in the question table.
Solved using:Excel (FILTER, LEN, LET), Power Query (List.Transform, Text.Contains, Text.Split), Python, and R.

April 13, 2025April 28, 2025
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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