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  3. PostgreSQL Summary Stats and Window Functions
  • 1

    Introduction to window functions

    Free

    In this chapter, you'll learn what window functions are, and the two basic window function subclauses, ORDER BY and PARTITION BY.

  • 2

    Fetching, ranking, and paging

    In this chapter, you'll learn three practical applications of window functions: fetching values from different parts of the table, ranking rows according to their values, and binning rows into different tables.

  • 3

    Aggregate window functions and frames

    In this chapter, you'll learn how to use aggregate functions you're familiar with, like `AVG()` and `SUM()`, as window functions, as well as how to define frames to change a window function's output.

  • 4

    Beyond window functions

    In this last chapter, you'll learn some techniques and functions that are useful when used together with window functions.

Initializing

Exercise

Numbering Olympic games in descending order

You've already numbered the rows in the Summer Medals dataset. What if you need to reverse the row numbers so that the most recent Olympic games' rows have a lower number?

Instructions

100 XP
  • Assign a number to each year in which Summer Olympic games were held so that rows with the most recent years have lower row numbers.