Pivotkolom

Pivotkolom is a data-analytics term used to describe the column that serves as the pivot axis in a dataset when generating a pivot table. The values from the pivotkolom are typically transformed into separate columns in the resulting view, enabling cross-tabulation of measures across the categories defined by that column.

In practice, the pivotkolom defines a dimension along which data is reorganized. When a pivot table is created, each distinct value of the pivotkolom becomes a header in the output, and the intersection with other fields shows an aggregated value, such as a sum or average. The pivotkolom is usually used in conjunction with one or more value columns that provide the numerical data to be summarized.

Examples help illustrate the concept. Consider a sales dataset with columns for date, region, product, and sales_amount. If region is chosen as the pivotkolom, the pivot table will display regions as separate columns, with rows representing combinations of date and product, and the cells containing the sum of sales_amount for each region.

Implementation varies by tool. In spreadsheet software, the pivotkolom is placed in the Columns area of a PivotTable. In SQL, similar results are achieved through conditional aggregation or PIVOT operations. In data analysis libraries such as pandas, the pivot_table function uses the pivotkolom as the columns parameter.

Limitations include high cardinality, which can produce many columns and affect readability and performance. See also: pivot table, cross-tabulation, data transformation.