Mastering the YEARWEEK Function in Looker Studio: Syntax, Operations, Examples, and Tips

 Mastering the YEARWEEK Function in Looker Studio: Syntax, Operations, Examples, and Tips

The Google Data Studio offers a myriad of diverse, effective functions for data manipulation, and one such proficient tool is the YEARWEEK function. An essential component in dealing with date-related data, this function facilitates a seamless extraction of the year and respective week number from a provided date.

Understanding the YEARWEEK Syntax

In its essence, YEARWEEK follows a simplistic design that can be applied in two different manners, depending on the date details received.

1)

YEARWEEK(date_expression)
: Here, the
date_expression
refers to a Date or Date & Time field or expression. This is when the date value is provided directly.

2)

YEARWEEK(X [,Input Format])
: This format is beneficial when dealing with compatibility mode Date value.
X
can be a Text, Number, or a compatibility mode Date. The
Input Format
denotes the format applied to
X
and is optional if
X
is correctly set up as a semantic date field.

How Does YEARWEEK Work?

The modus operandi of YEARWEEK lies in its ability to interpret and interact with dates. It converts a date expression or a compatibility mode Date value into a year-week format.

  • For date expressions, YEARWEEK simply breaks down the date and extricates the year and week number, presenting it as a combined output.

  • For compatibility mode dates, the function first interprets the provided input, depending on its type (text, number, or date) and optional format. Post this, it performs the same extraction as mentioned earlier.

Diving into Examples

Let's walk through a few examples to better understand the application of YEARWEEK, using a sales scenario. Assume our dataset captures sales transactions for an online store which primarily sells clothing items.

Suppose we have a date '2022-08-18' for a particular sale and we want to retrieve the year and week number:

markdown
Formula: YEARWEEK(Date)
Input: 2022-08-18
Output: 202233
The output 202233 implies that the sale was made in the 33rd week of the year 2022.

Consider another example where we have this date in compatibility mode with input as text:

markdown
Formula: YEARWEEK("2022-08-18", 'DEFAULT_DASH')
Input: "2022-08-18"
Output: 202233

Delving into Limits of YEARWEEK

The function assumes great strength in its flexibility of accepting multiple formats, which also serves as its limitation. Inaccuracy in formatting, especially in compatibility mode dates, may result in incorrect output or errors.

Pro Tips for YEARWEEK

1) Even though input format is optional, it's always better to define it accurately when dealing with compatibility mode dates.

2) Understanding the difference between the two types of syntaxes can help fetch the desired result with ease.

More function to use with Looker Studio

REPLACE
:
Understanding and Utilizing the REPLACE Function in Looker Studio for Clear, Concise, and Accurate Data Insights
LENGTH
:
Understanding the LENGTH Function in Looker Studio: A Comprehensive Guide to Counting Characters
PARSE_DATE
:
Understanding and Utilizing the PARSE_DATE() Function in Looker Studio for Effective Data Transformation
TOCONTINENT
:
Unlocking Geographical Analysis with Looker Studio's TOCONTINENT Function: Features, Examples, and Expert Tips
DATE_FROM_UNIX_DATE
:
Decoding Date Data: Understanding and Applying the DATE_FROM_UNIX_DATE Function in Looker Studio

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 lessons

All 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!
Looker studio

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!
Florian Cabirol
CEO of Catchr
As a web development expert, I am actively enhancing and developing Catchr connectors to optimize the processing and analysis of your marketing data.