Matrix Transformation & Data Restructuring Tool

Learn to use :
ROW, COLUMN, TOROW, TOCOL

Matrix Transformation & Data Restructuring Tool
Function Focus:ROW, COLUMN, TOROW, TOCOL
Scenario:
DataBridge Analytics receives client data in inconsistent formats. Build a universal transformation tool that converts between row-based, column-based, and matrix formats.
Dataset Structure:
• Quarterly sales data in 3D format: Products (rows) x Quarters (columns) x Regions (sheets)
• Need to transform to: Flat table, Pivot-ready format, and Summary matrices
Tasks:
1.Use TOROW() to convert a 2D product x quarter matrix into a single row for charting
2.Apply TOCOL() to flatten multi-region data into a database-ready format
3.Utilize ROW() and COLUMN() to create dynamic coordinates for data validation
4.Build a bidirectional converter that can reshape data on demand
Expected Output:
Flexible data transformer that handles 2D->1D and 1D->2D conversions with dynamic positioning.
Evaluation Criteria:Correct TOROW/TOCOL syntax, ROW/COLUMN coordinate mapping, bidirectional transformation