The AVG Function in Looker Studio (formerly Google Data Studio) is an incredibly versatile tool that allows for the calculation of an average value across a selection of numbers. Perfectly suited for analyzing numeric fields in your data, the AVG function improves the precision of your data evaluations, offering insightful observations that are indispensable for intelligent decision-making.
A Deep Dive into the AVG Function Syntax
The syntax for the AVG function is a simplistic, yet powerful one:
The parameter 'value' represents a field or expression that evaluates to an unaggregated number. This parameter is key in determining the average of a given numeric field. However, it's crucial to avoid using this function for a pre-aggregated field or an expression resulting from another aggregation function, as doing so may lead to errors.
Understanding How the AVG Function Works
Though simplistic in its usage, the AVG function works in a sophisticated manner. By taking a single numeric field or numeric expression as a parameter, the AVG function calculates the average value of all entries for that field or expression. However, there are exceptions to this criterion - the function cannot be applied to a field that is pre-aggregated, or an expression influenced by another aggregation function. There are ways to circumvent this issue by altering Aggregation to 'Average' in a data source or by modifying the field's aggregation in a report.
Crafting Real World AVG Examples
Let's consider a practical example within a sales-oriented context to get a better understanding of the AVG function in action.
Assuming you have a data field of 'Quarterly_Sales' for an e-commerce store, and you wish to calculate the average sales per quarter, the AVG function can be employed as such:
Similarly, if you wish to calculate the average sales of a specific product category as opposed to the entire catalog, the function could be tweaked with the CASE clause:
AVG(
CASE
WHEN Product_Category = 'Electronics' THEN Quarterly_Sales
ELSE NULL
END
)
This fetches an average of all sales within the 'Electronics' category, while ignoring other product categories.
Understanding the Limitations of AVG Function
While the AVG function is an advanced resource, it is not without its constraints. An important limitation is its inability to function with pre-aggregated fields or expressions resulting from other aggregation functions. Efforts to bypass this limitation with AVG(SUM(x)) tends to yield errors.
Handy Tips for AVG Function Usage
Despite the limitations, AVG can open a world of possibilities with data analysis by using the following tips:
- Always ensure an unaggregated numeric field or numeric expression is provided as parameter to AVG function.
- Alter the data source aggregation to 'Average' if necessary.
- Modify the field's aggregation in a chart to suit the usage of the AVG function.
Unlock the potential of your data analysis with the AVG function, drive evidence-based decisions, and watch your business grow.
