Using the Analytic Functions : Introduction « Analytical Functions « Oracle PL/SQL Tutorial






  1. Oracle PL/SQL Tutorial
  2. Analytical Functions
  3. Introduction

The analytic functions are organized into the following categories:

  1. Ranking functions calculate ranks, percentiles, and n-tiles (for example, tertiles, quartiles).
  2. Inverse percentile functions calculate the value that corresponds to a percentile.
  3. Window functions calculate cumulative and moving aggregates.
  4. Reporting functions calculate things like market shares.
  5. Lag and lead functions get a value in a row where that row is a certain number of rows away from the current row.
  6. First and last functions get the first and last values in an ordered group.
  7. Linear regression functions fit an ordinary-least-squares regression line to a set of number pairs.
  8. Hypothetical rank and distribution functions calculate the rank and percentile that a new row would have if you inserted it into a table.

Quote from:

Oracle Database 10g SQL (Osborne ORACLE Press Series) (Paperback)

# Paperback: 608 pages

# Publisher: McGraw-Hill Osborne Media; 1st edition (February 20, 2004)

# Language: English

# ISBN-10: 0072229810

# ISBN-13: 978-0072229813









16.1.Introduction
16.1.1.The Analytical Functions in Oracle (Analytical Functions I)
16.1.2.The Order in Which the Analytical Function Is Processed in the SQL Statement
16.1.3.Using the Analytic Functions
16.1.4.Using the Ranking Functions
16.1.5.More Than One Analytical Function May Be Used in a Single Statement
16.1.6.Calculate with Analytical functions