Sheet Cleanup

Transpose CSV data - convert rows to columns and vice versa

Upload CSV File

Upload a CSV file to transpose its data
How Transposition Works:
Before (Original):
Product,    Sales,  Revenue
Shoes,      100,    $5000
Shirts,     200,    $8000
↓ Transpose ↓
After (Transposed):
Product,  Shoes,  Shirts
Sales,    100,    200
Revenue,  $5000,  $8000

Transpose Options

When to Transpose

  • Pivoting data: Switch from wide to long format
  • Charting: Prepare data for visualization tools
  • Analysis: Reorganize for different perspectives
  • Formatting: Match target system requirements

Pro Tip

Use the header options to preserve your column/row names during transposition. Without headers enabled, all data becomes values.

Sheet Cleanup Tutorial

What is Transposition?

Transposition flips your data matrix - rows become columns and columns become rows. This is also known as "pivoting" or "rotating" your data.

How to Use:

  1. Upload your CSV file
  2. Check the appropriate header options:
    • First row as headers: If your first row contains column names
    • First column as headers: If your first column contains row identifiers
  3. Click "Transpose CSV" to process
  4. Preview the results and download the transposed file

Common Use Cases:

Scenario Original Format After Transpose
Time Series Data Months as columns, metrics as rows Months as rows, metrics as columns (better for charts)
Product Comparisons Products as rows, features as columns Features as rows, products as columns
Survey Data Wide format (1 row per person, many columns) Long format (1 row per answer, fewer columns)
Analytics Reports Data exported in horizontal format Vertical format for database import

Important Notes:

  • The tool preserves all your data - nothing is lost during transposition
  • Enable header options carefully - they determine how your first row/column is treated
  • If your data has many columns, the transposed result will have many rows (and vice versa)
  • CSV formatting is preserved - commas, quotes, and special characters are handled correctly
When should I use headers?
  • First row headers: Enable when your first row contains labels like "Product", "Price", "Quantity" instead of actual data
  • First column headers: Enable when your first column contains identifiers like "Q1 2024", "Product A", "User 123" instead of data values
  • Both enabled: Use when both your first row AND first column are labels (like a pivot table)
  • Neither enabled: Use when your data is pure values with no labels anywhere