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Home » Challenges » By Difficulty » ⭐️⭐️⭐️ Intermediate » Page 22

⭐️⭐️⭐️ Intermediate

Moderate difficulty level.

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
 Combine Tables
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  • ⭐️⭐️⭐️ Intermediate

 Combine Tables

Challenge No. 44: The question tables display product sales across various regions for the different months of spring.
Solved using:Excel (DROP, FILTER, HSTACK), Power Query (List.Distinct, Table.Column, Table.ColumnNames), Python, and R.

February 20, 2025April 28, 2025
 Sort Table Columns
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  • ⭐️⭐️⭐️ Intermediate

 Sort Table Columns

Challenge No. 43: In the question table (Product sales in different regions), sort the columns in descending order based on their total values.
Solved using:Excel (BYCOL, HSTACK, LAMBDA), Google Sheets, Power Query (List.Skip, Table.Column, Table.ColumnNames), Python, and R.

February 19, 2025April 28, 2025
 Duration Since Last Visit!
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  • ⭐️⭐️⭐️ Intermediate

 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
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
 P & Down Grades!
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 P & Down Grades!

Challenge No. 35: In our company, we utilize a grading system to evaluate the technical performance of our agents, assigning grades of C, B, A, and A+.
Solved using:Excel (DROP, FILTER, HSTACK), Power Query (Table.AddColumn, Table.Group), and R.

February 11, 2025April 28, 2025
 Customer Return Cycle!
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  • ⭐️⭐️⭐️ Intermediate

 Customer Return Cycle!

Challenge No. 34: In the question table, sales data for different customers are provided.
Solved using:Excel (DROP, FILTER, HSTACK), Power Query (Table.Group), Python, and R.

February 10, 2025April 28, 2025
Risk Analysis
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Risk Analysis

Challenge No. 30: In risk analysis, activities are categorized into various groups according to their likelihood of occurrence and their impact.
Solved using:Excel, Power Query, Python, and R.

February 6, 2025April 28, 2025
 Identifying Customers Staple Products!
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 Identifying Customers Staple Products!

Challenge No. 29: In the question table, sales transactions are listed.
Solved using:Excel (CHOOSECOLS, FILTER, HSTACK), Power Query (Text.Combine, Table.Group), Python, and R.

February 5, 2025April 28, 2025
 Highlight Merged Cells
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 Highlight Merged Cells

Challenge No. 24: In Conditional Formatting write a formula to highlight the merged cells.
Solved using:Excel, R, and VBA.

January 31, 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