It is possible to query for aggregate values in Google Sheets. Instead of querying entire worksheets and then doing fairly routine calculations, you can shorten the time in calculations and lighten the load in your browser by submitting queries for aggregate values instead. In this tutorial, we will see how the five aggregation functions work in Google Sheets.
The SUM() function is used to add the values of a specified range of cells together. If you include it in the query, it will add the cells in a certain column. For example, we have the following sheet that includes the date of transaction, the item bought, the price per item, the amount of items bought, the resulting total price, the cost per item, the total cost, and the profit.
We need the total amount of items bought, so we need to apply the SUM() function to the column for the amount of item, which is column D. To do so, we make the following query (without quotes):
"select sum(D)"
With this, we'll have to place it in Google Sheets' QUERY function with the format:
=query([range],"[SQL query]'")
The result will look like this:
Since there is only a single sum for each column, the result is essentially a single-cell sheet.
The COUNT() function counts all the rows with entries in the specified column, skipping the rows that are blank. The query calling for the total number of entries in a column would look similar to that of the SUM() function (without quotes):
"select count(D)"
With this, we'll have to place it in Google Sheets' QUERY function with the format:
=query([range],"[SQL query]'")
The result will look like this:
The AVG() function will calculate the average value for the entire column. As an example, we want to calculate the average profit per order. To do so, we make the following query (without quotes):
"select avg(H)"
With this, we'll have to place it in Google Sheets' QUERY function with the format:
=query([range],"[SQL query]'")
The result will look like this:
The MAX() and MIN() functions look for and display the maximum and minimum value in the selected column, respectively. As an example, we wish to find the maximum and minimum profit that we got from a single order in the period specified in the entire sheet. To do so, we make the following query (without quotes):
"select max(H), min(H)"
With this, we'll have to place it in Google Sheets' QUERY function with the format:
=query([range],"[SQL query]'")
The result will look like this:
It also works with dates:
We can use these aggregate functions alongside the group by clause in our query. Head to this tutorial to see how the puzzle pieces fit!
While this lets us analyze large chunks of data much easier, it will take us a lot of time to do so. Maybe there is a better way so that all the analysis is automated and we will just have to make important decisions for our business…
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