SQL Tutorial > SQL FUNCTIONS

Aggregate Functions in SQL for Data Analysis

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In SQL, an aggregate function calculates numerous values and returns a single result. Avg, count, sum, min, max, and other aggregate methods are available in SQL. Except for the count function, an aggregate function ignores NULL values when performing calculations.

  • AVG – calculates the average of a set of values.
  • COUNT – counts rows in a specified table or view.
  • MIN – gets the minimum value in a set of values.
  • MAX – gets the maximum value in a set of values.
  • SUM – calculates the sum of values.

A majority of large corporations utilise SQL all across the world. A data analyst can use SQL to access, read, alter, and analyse data contained in a database in order to generate meaningful insights that will help them make better decisions.

To count the amount of rows in a column or table, use the term COUNT. To obtain the mean of a number column, use the phrase AVG. When all the values in a numerical column are added together, use the phrase SUM to find the total. To group data in a table by a column, use the term GROUP BY.

A mathematical computation employing a range of values that yields a single value indicating the significance of the accumulated data it is formed from is known as an aggregate function. Descriptive statistics are frequently derived using aggregate functions.

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