We present a novel row-polymorphic record calculus, supporting a unique combination of features: scoped labels, first-class labels and rows, and record concatenation. Our work is motivated by the similarity of record types and data table (or data frame) schemas, commonly used in data processing tasks. After presenting our record calculus, we demonstrate its applicability to data frame manipulation by showing that it can be used to successfully assign types to the functions listed in the Brown Benchmark for Tabular Types. Our typing discipline is remarkably lightweight, compared to calculi that require reasoning about type-level constraints when manipulating record types, making it a viable candidate for practical use.