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The leap year problem (also known as the leap year bug or the leap day bug) is a problem for both digital (computer-related) and non-digital documentation and data storage situations which results from errors in the calculation of which years are leap years, or from manipulating dates without regard to the difference between leap years and common years.
Data wrangling, sometimes referred to as data munging, is the process of transforming and mapping data from one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics.
An entity–attribute–value model (EAV) is a data model optimized for the space-efficient storage of sparse—or ad-hoc—property or data values, intended for situations where runtime usage patterns are arbitrary, subject to user variation, or otherwise unforeseeable using a fixed design.
Standard Time (SDT) and Daylight Saving Time (DST) offsets from UTC in hours and minutes. For zones in which Daylight Saving is not observed, the DST offset shown in this table is a simple duplication of the SDT offset.
Hierarchical Data Format (HDF) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data.Originally developed at the U.S. National Center for Supercomputing Applications, it is supported by The HDF Group, a non-profit corporation whose mission is to ensure continued development of HDF5 technologies and the continued accessibility of data stored in HDF.
We create a new record to track the changes, as in Type 2 processing. And we store the history in a second State column (Historical_State), which incorporates Type 3 processing. For example, if the supplier were to relocate again, we would add another record to the Supplier dimension, and we would overwrite the contents of the Current_State column:
The producer price index released a day earlier on January 14 reported a modest 0.3% increase in wholesale prices in December, rising 3.3% year over year, up from 3% in November.
Directional-change intrinsic time is an event-based operator to dissect a data series into a sequence of alternating trends of defined size .. Figure 1: A financial market price curve (grey) dissected by a set of directional-changes (grey squares).