Sarakeittain

Sarakeittain is a Finnish term used to describe operations or analyses performed on each column of a tabular data structure independently. It denotes column-wise processing, as opposed to riviittain, which means by row. The concept is common in statistics, data science, and spreadsheet work, where data are typically organized with variables in columns and observations in rows.

In practice, sarakeittain tasks include computing column-wise statistics such as means, medians, minimums and maximums, or standard deviations. It also covers data transformations like normalization or scaling applied to each column separately, as well as handling missing values on a per-column basis. This approach is particularly appropriate when columns represent different variables that may have distinct units or scales, requiring individualized treatment.

In software and data workflows, sarakeittain processing is often contrasted with row-wise processing. Many analysis and reporting tasks are described as “column-wise” or “by column” to indicate that the operation targets each column independently rather than aggregating across rows. The term appears in Finnish-language documentation, tutorials, and user guides for spreadsheets, statistical software, and database tools.

Related concepts include riviittain, meaning by row. While sarakeittain emphasizes the vertical dimension of the data, riviittain emphasizes the horizontal dimension, and both approaches can be used depending on the analytical goal.