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In each table, the "entity" is a composite of the patient ID and the date/time the diagnosis was made (or the surgery or lab test performed); the attribute is a foreign key into a specially designated lookup table that contains a controlled vocabulary - e.g., ICD-10 for diagnoses, Current Procedural Terminology for surgical procedures, with a ...
This template can extract information from a date, or can format a date. Time units can be added to a date. Syntax {{extract|date ... value. For a partial date such ...
-- The logic of PHP mktime is followed where m or d can be zero to mean-- the previous unit, and -1 is the one before that, etc.-- Positive values carry forward. local date if not (1 <= m and m <= 12) then date = Date (y, 1, 1) if not date then return end date = date + ((m-1).. 'm') y, m = date. year, date. month end local days_hms if not ...
Extract, transform, load (ETL) is a three-phase computing process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collected from one or more sources and it can also be output to one or more destinations.
Pandas is built around data structures called Series and DataFrames. Data for these collections can be imported from various file formats such as comma-separated values, JSON, Parquet, SQL database tables or queries, and Microsoft Excel. [8] A Series is a 1-dimensional data structure built on top of NumPy's array.
The first round of the College Football Playoff has three matchups scheduled Saturday across various campus sites. We break down each game.
An array data structure can be mathematically modeled as an abstract data structure (an abstract array) with two operations get(A, I): the data stored in the element of the array A whose indices are the integer tuple I. set(A,I,V): the array that results by setting the value of that element to V. These operations are required to satisfy the ...
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