CSV Transpose

Transposing flips your data so that rows become columns and columns become rows. If your CSV has 5 columns and 100 rows, the transposed result will have 100 columns and 5 rows. The first column of the original becomes the first row of the output, and so on. It is the same operation as the TRANSPOSE function in Excel or Google Sheets.

Visually, think of it as rotating the entire table 90 degrees. The header row becomes a header column, and each data row becomes a data column. This is a fundamental data reshaping operation used in data analysis, reporting, and preparing data for specific import formats.

Transposing is useful when your data is organised the wrong way around for your target system. For example, survey results where each question is a row but your charting tool expects each question as a column. Or time series data where dates are in columns but your database expects them in rows.

Other common scenarios include preparing data for pivot table analysis, reformatting data exports to match a required import template, converting wide-format data (many columns, few rows) to long-format data (few columns, many rows), and reorganising comparison tables where you want to switch the axes.