SQL - PIVOT and UNPIVOT
PIVOT transforms rows into columns by rotating data around a pivot point. The operation requires three components: an aggregate function, a column to aggregate, and a column whose values become new…
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PySpark - Unpivot DataFrame (Columns to Rows)
Unpivoting transforms wide-format data into long-format data by converting column headers into row values. This operation is the inverse of pivoting and is fundamental when preparing data for…
Read more →PySpark - Stack Function to Unpivot
Unpivoting transforms column-oriented data into row-oriented data. If you’ve worked with denormalized datasets—think spreadsheets with months as column headers or survey data with question…
Read more →How to Unpivot a DataFrame in PySpark
Unpivoting transforms data from wide format to long format. You take multiple columns and collapse them into key-value pairs, creating more rows but fewer columns. This is the inverse of the pivot…
Read more →How to Unpivot a DataFrame with Melt in Pandas
Data rarely arrives in the format you need. Wide-format data—where each column represents a different observation—is common in spreadsheets and exports, but most analysis tools expect long-format…
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