In Google Data Studio, the MINUTE function plays a pivotal role in extracting minutes from a specified date. Acting as an essential tool in data analytics, it facilitates temporal precision, enhances comprehensibility of complex data, and aids in crafting thorough reports.
The syntax structure for the MINUTE function comes in two variants:
json
MINUTE(datetime_expression)The function also acquires the minute from a compatibility mode Date value.
json
MINUTE(X [,Input Format])X is a field or evaluation that corresponds to Text, Number, or compatibility mode Date.
The MINUTE function analyses a given time and date expression and breaks it down to extract the minute component. This extraction is performed according to the syntax and input format as discussed earlier. The power and effectiveness of this function lies in its flexibility and precision, enabling us to convert dates into useful fragments of information, such as minutes.
To clarify the concept, here are a few scenarios where the MINUTE function could be useful in a sales context:
json
Data: 2022/07/17-11:45:00
MINUTE (Data) output: 45json
Series of data: [2022/07/18-15:20:00, 2022/07/18-15:45:00, 2022/07/18-15:55:00]
MINUTE (Data) outputs: [20, 45, 55]While potent, the MINUTE function can only extract the minute data from a given expression. It won't deliver results beyond or less than this specific scope. For example, it can't be used to derive seconds or hours directly.
The extraction of the minute component is an essential part of time-related data analysis. Utilize the MINUTE function to improve your time-based data interpretation, and ensure the data provided adheres to one of the valid input formats to prevent errors. This function shines when used for generating real-time stats, temporal segmentations, or performance metrics based on minutes.
Deep dive into your data's temporal patterns with the MINUTE function and enable your reports to shine with precision and adaptability! Keep exploring, understanding, and implementing!
