From the course: Advanced SQL – Window Functions
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Distribution window functions - SQL Tutorial
From the course: Advanced SQL – Window Functions
Distribution window functions
- [Instructor] A cumulative distribution function, describes the probability that our random variable X evaluated at n, we'll take a value that is less than or equal to n. As a highly simplified example, consider a standard six side playing dice. Each side has a unique integer value between one and six and has a roll probability of 1/6. The cumulative distribution for rolling a value that is equal to or smaller than one is 1/6. The probability for rolling a value that is equal to or smaller than two is the sum of the previous and the current probabilities 2/6 or 1/3, similarly for a three, the permeability is 1/2 and so on up to one. One represents the probability of rolling a value that is equal to or smaller than six and that is a certainty. The NCC equal standard defines distribution window functions as functions that compute a relative rank over a row R, within a window partition of R, expressed as an approximate…
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