The WEEK function in Google Data Studio is an excellent tool for analyzing and presenting data according to weekly cycles. It allows users to efficiently break down a date parameter on the basis of weeks to better measure and compare growth, performance, sales and other metrics.
Isolating the week can provide invaluable insights in trends that may not be apparent in daily or monthly data. For instance, it could help uncover patterns in a retail setting whereby certain products do better in specific weeks of the year.
With two primary ways to use the WEEK function, users have flexibility based on data type: semantic date field or compatibility mode date.
Semantic date field:
WEEK(date_expression)
Compatibility mode date:
WEEK(X [, Input Format])
Where: -
date_expression
is a Date & Time field or expression.
- X
is a field or expression that evaluates to Text, Number, or compatibility mode Date.
- Input Format is optional if X
is correctly configured as a semantic date field but mandatory for compatibility mode dates.
The WEEK function's primary role is returning the week number for a given date.
In the case of a semantic date field, you only need to input
date_expression
into WEEK(date_expression)
in the syntax.
On the other hand, for a compatibility mode Date value, the syntax
WEEK(X [, Input Format])
requires the additional 'Input Format' definition if X
isn't already set as a semantic date field.
Consider an electronics store that wants to analyze its weekly sales data. The store records the sales date for each transaction. They could use the WEEK function like so:
With semantic date field:
WEEK(Sales_Date)
If Sales_Date == '2019-01-01', the output will be '1'
With compatibility mode date:
WEEK(Sales_Date, 'DEFAULT_DASH')
If Sales_Date == '2019/01/01-09:40:45', the output will be '1'
These examples demonstrate how the WEEK function can be used to identify the week of the year a sale was made, helping to group sales data for weekly performance analysis.
While useful, the WEEK function has its constraints. It operates per the ISO 8601 standard, which may differ from local calendar's week number, especially for dates close to the start and end of the year.
Also, the function won't directly associate data with day of the week (Monday, Tuesday, etc.), which is sometimes a more useful metric when analyzing trends and patterns.
With the power to dissect data week by week, you are better equipped to track patterns and make data-informed decisions for improved business performance.
Become a Looker Studio expert
for free
Learn all the secrets of data analysis and create beautiful and effective dashboards thanks to our 30-second video courses! Join Catchr's community on YouTube.
Get more video lessonsAll your data on Looker Studio
Build Looker Studio dashboard easily with your marketing data from all platforms and track your essential KPIs! No-code integration.
Start free trial now!Optimize your data analysis
Get free Looker Studio dashboard template among a large collection of +50 stunning template! Elevate your data visualization.
Get free templates!