Category: SQL

The SQL LAG() function is a powerful analytical function that allows you to access data from a previous row within a result set. Specifically, it allows you to retrieve data from a specified offset before the current row, based on the order of rows defined in the query. This function is useful for a wide…(Continue Reading)

SQL Analytical functions are a set of powerful tools that enable data analysts and developers to perform complex calculations and transformations on groups of data, without the need for complex sub-queries or multiple queries. They allow you to perform calculations over a set of rows that are related to each other. Analytical functions can be…(Continue Reading)

The SQL CUME_DIST() function is a window function that is used to calculate the cumulative distribution of a set of values in a group. The function returns the cumulative distribution of a value, which is the percentage of rows that have a value less than or equal to the current row value. Syntax The syntax…(Continue Reading)

The PERCENT_RANK() function is a built-in SQL function that calculates the relative rank of a row within a result set. Specifically, it calculates the percentage rank of a row based on its value compared to the other rows in the result set. The PERCENT_RANK() function takes into account the total number of rows in the…(Continue Reading)

The SQL NTILE() function is a ranking function that is used to divide a result set into a specified number of equally-sized groups or “buckets”. This function can be particularly useful when you want to divide a large result set into smaller, more manageable chunks or when you want to perform statistical analysis on groups…(Continue Reading)

The SQL DENSE_RANK() function is a built-in ranking function in SQL that assigns a unique rank to each row within a result set, based on the values in one or more columns. Unlike the RANK() function, which leaves gaps in the rank sequence when there are ties, the DENSE_RANK() function always produces a consecutive ranking,…(Continue Reading)

The SQL RANK() function is a window function that assigns a rank to each row within a result set based on the values in one or more columns. The rank value represents the relative position of the row within the result set, with a lower rank indicating a higher position. Syntax The syntax of the…(Continue Reading)

The SQL ROW_NUMBER() function is a built-in analytical function that assigns a unique sequential number to each row within a result set. It is a window function that is used to return the sequential number of a row within a specific partition of a result set. Syntax The basic syntax for using the ROW_NUMBER() function…(Continue Reading)

SQL ranking functions are used to assign a rank or position to each row within a specific partition or result set based on a specified criteria. They can be very useful for analyzing data and identifying patterns or trends. Here are the most commonly used SQL ranking functions: ROW_NUMBER() – This function assigns a unique…(Continue Reading)

SQL window functions, also known as analytical functions, are a powerful feature in SQL that allow you to perform calculations across multiple rows in a result set. Window functions operate on a “window” of data that is defined by a specific set of rows within a result set, and can be used to calculate running…(Continue Reading)