The QUARTER function in Google Data Studio is a powerful tool for segmenting your dates into relevant and actionable periods of time. The function works by returning the quarter of the year for a given date. Understanding which quarter a specific date falls in can be critical in many analysis scenarios, including the tracking and reporting of sales metrics.
The syntax of the QUARTER function is as follows:
QUARTER(date_expression)QUARTER(X [,Input Format])Here, - date_expression represents a Date & Time field or expression. - X signifies a field or expression that evaluates to Text, Number, or compatibility mode Date. - Input Format is an optional parameter for format if X is correctly configured as a semantic date field.
Using the QUARTER function is quite straightforward. However, as you're dealing with date expressions, you must ensure to treat compatibility mode date differently from the standard date value. The syntax presented above, if followed correctly, should yield the desired output.
Let's see how we can apply the QUARTER function in a real-world scenario. Suppose we have a sales record with the following dates:
| Date of Sale | | | | Feb 12, 2020 | | Jun 14, 2020 | | Dec 29, 2020 |
We can apply the QUARTER function to each date to identify the quarter as follows:
| Date of Sale | Quarter | | | - | | Feb 12, 2020 | 1 | | Jun 14, 2020 | 2 | | Dec 29, 2020 | 4 |
The formulas used were: - QUARTER(TO_TIMESTAMP("Feb 12, 2020")) resulting in 1 - QUARTER(TO_TIMESTAMP("Jun 14, 2020")) resulting in 2 - QUARTER(TO_TIMESTAMP("Dec 29, 2020")) resulting in 4
There are no specific limitations to the QUARTER function in Google Data Studio. However, it must be correctly applied to make sure the date format is understood by the function.
GeneratedValue your data studio reports with meaningful date segmentation using the QUARTER function, and enrich your data analysis ever more. Remember, it's not just about having data; it's about making it understandable and actionable.
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