Examples of using Aggregate functions in English and their translations into Vietnamese
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Having() and some aggregate functions.
Aggregate functions perform calculations on columns of data and return a single result.
Data operations: added aggregate functions argmin, argmax and count.
Aggregate functions have many uses beyond what was described in this section.
As you proceed, remember that you use aggregate functions with columns of data.
When you use aggregate functions, you usually must also create a GROUP BY clause.
You often see these functions(for example, Sum, Count, and Avg)referred to as aggregate functions.
This is where aggregate functions come into play.
The HAVING keyword has been added to SQL because a WHEREkeyword can not be used against aggregate functions(like SUM).
In contrast, you use aggregate functions to focus on groups of records in columns.
The HAVING clause was added to SQL to provide functionality similar to that of theWHERE clause while also being compatible with aggregate functions.
The following table describes the types of aggregate functions in Access that you can add to a report.
You use aggregate functions to perform a calculation on a column of data and return a single value.
Remember that Access provides additional aggregate functions, but you must use them in queries.
You use aggregate functions when you need to calculate a single value, such as a sum or an average.
Note: The how-to sections in this document emphasize using the Sum function, but remember that you can use other aggregate functions in your Total rows and queries.
This table lists and describes the aggregate functions that Access provides in the Totals row.
Aggregate functions are useful for summarizing the results of a particular column in a given table.
Remember that Access provides more aggregate functions for queries than it does for the Total row.
Note: The how-to sections in this document emphasize using the Sum function, but remember that you can use other aggregate functions in your Total rows and queries.
This table lists and describes the aggregate functions that Access provides in the Total row and in queries.
In addition to aggregate functions, Access also provides"domain" aggregate functions that you use to sum or count values selectively.
After learning the basics, you will learn some non-trivial information-e.g. GROUP BY operator and aggregate functions, connecting tables, joining on multiple conditions, and dealing with other SQL operators and functions. .
You can use aggregate functions to count the number of products sold in one column, calculate total sales amounts in a second column, and calculate the average sales amount for each product in a third column.
This article alsobriefly explains how to use other aggregate functions, such as COUNT and AVG to count or average the values in a result set.
Unlike aggregate functions, which return a single aggregate value for a group of rows, analytic functions return a single value for each row by computing the function over a group of input rows.
The following table lists and describes the aggregate functions that Access provides for use in the Total row and in queries.
For more information about using aggregate functions and totaling the values in field and columns, see the articles Sum data by using a query, Count data by using a query, Display column totals in a datasheet using a Totals row, and Display column totals in a datasheet.
Relational languages also use aggregate functions such as sum, avg(average), count, max(maximum), and min(minimum).