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MySQL AVG

December 3, 2023
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The MySQL AVG function is an aggregate function that is used to calculate the average value of a numeric column within a specified table. This function is particularly useful when you want to obtain the average of a set of values, such as grades, prices, or any other numerical data stored in a MySQL database. […]

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MySQL MIN

December 3, 2023
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The MySQL MIN function is an aggregate function that is used to retrieve the minimum value from a set of values. It is commonly used with numerical or date columns in a SELECT statement to find the smallest value in a specified column. Here is a basic syntax of the MIN function: SELECT MIN(column_name) FROM […]

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MySQL MAX

December 3, 2023
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The MySQL MAX function is a built-in aggregate function that is used to find the maximum value within a set of values. It is often employed in conjunction with the SELECT statement to retrieve the highest value from a specified column or a combination of columns in a table. The MAX function is particularly useful […]

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MySQL SUM

December 3, 2023
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The MySQL SUM function is an aggregate function that is used to calculate the sum of values in a numeric column. It is commonly used in conjunction with the GROUP BY clause to perform calculations on grouped data. Here is an overview of the SUM function in MySQL: Syntax The basic syntax of the SUM […]

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MySQL COUNT

December 3, 2023
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The COUNT is a SQL aggregate function used to count the number of rows in a result set or the number of occurrences of a particular value in a column. It is commonly used in conjunction with the SELECT statement to retrieve information about the data stored in a MySQL database. Here’s a basic overview […]

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MySQL HAVING

December 3, 2023
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The MySQL HAVING clause is used in conjunction with the GROUP BY clause to filter the results of a query based on the aggregated values. While the WHERE clause is used to filter individual rows before they are grouped and aggregated, the HAVING clause is used to filter the results after they have been grouped […]

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