Looker Studio Function : TAN
Category: Arithmetic function
The TAN function in Looker Studio is a mathematical tool used to return the tangent of an angle (in radians). It plays a vital role in advanced analytics by helping visualize data patterns and nonlinear trends effectively.
Purpose of the TAN Function
1. Data Distribution Analysis :
The TAN function helps model nonlinear data trends in datasets, identifying hidden distribution patterns. It aids in understanding how data values deviate over time or categories, especially when patterns follow a cyclic or angular behavior.
2. Customer Segmentation :
By applying the TAN function on normalized behavioral data, marketers can cluster customers into segments that display similar nonlinear buying trends, improving targeting precision and personalization strategies.
3. Decision Making :
TAN can simulate real-world scenarios where changes are nonlinear, such as cyclical sales or behavioral trends, helping decision-makers assess variable impact more accurately in strategic planning.
TAN(number)
| Parameter | Type | Description |
|---|---|---|
number | Number (radians) | Angle in radians for which to return the tangent |
How Does the TAN Function Work?
The TAN function calculates the ratio of the sine to the cosine of a given angle in radians. It evaluates trigonometric relationships and is particularly useful in analyzing nonlinear trends or behaviors in datasets.
When Should You Use TAN Function?
Use TAN when analyzing:
Periodic data fluctuations
Seasonal performance cycles
Predictive modeling based on cyclical patterns
Ideal for data scientists, marketers, and analysts working with dynamic or periodic datasets.
Example of TAN with Result
TAN(0.785398) → 1.0
Result: 1
This returns the tangent of ~45 degrees (in radians).
Example : 1 Basic Usage
TAN(Field_Name)
Example 2: Column Usage
You can apply TAN(Sales_Growth_Angle) in a calculated field to evaluate change patterns.
Example 3: Handling Decimals and Scientific Notation
Looker Studio auto-converts input values to decimal. For very small or large numbers (scientific notation), ensure you normalize data before applying TAN to avoid misleading results.
Example 4: Combining with Other Functions
Enhance analysis by nesting TAN within other functions:
IF(TAN(Field_Value) > 1, “High”, “Normal”)
Tips and Tricks
Always input radians, not degrees (convert degrees using
RADIANS()).Use with
MOD,COS, orSINfor complete trigonometric modeling.Combine with CASE WHEN logic for smart segmentation.
Normalize data before applying trigonometric functions for accuracy.
No. TAN accepts radians. Use RADIANS(degree_value) to convert degrees.
It returns an error. Ensure you avoid odd multiples of π/2 (90°, 270°, etc.).
Yes! It’s helpful for identifying nonlinear buying trends and behavior modeling.
Divide data by max value or use Z-score standardization before applying TAN.
Yes. Use IF, CASE, or mathematical expressions for powerful data logic.