Multiple-Choice Questions
- What is the main purpose of using dynamic comparisons in Looker Studio?
- What function should you use to make the dynamic comparison interactive?
- Which of the following is NOT a key concept in creating dynamic comparisons?
- In a dynamic comparison, what should the "Transaction Ratio" column calculation consist of?
a. To create static visualizations b. To allow users to interact with data c. To visualize simple relationships between two variables d. To create separate visualizations for each comparison
Answer: b
a. CONCAT b. DIVIDE c. SUM d. AVERAGE
Answer: a
a. Parameters b. Case functions c. CONCAT function d. Linear regression
Answer: d
a. Adding the value of transactions to the output of the case function b. Subtracting the output of the case function from the value of transactions c. Dividing the value of transactions by the output of the case function d. Multiplying the value of transactions by the output of the case function
Answer: c
True/False Questions
- Dynamic comparisons in Looker Studio can only be used for e-commerce data.
- The CONCAT function is essential for creating dynamic comparisons in Looker Studio.
- It's not possible to use dynamic comparisons with different metrics and dimensions in Looker Studio.
Answer: False
Answer: True
Answer: False
Fill-in-the-Blanks
- In Looker Studio, the dynamic comparison feature can be created by dividing the value of transactions by the output of the _______ function.
- To create a dynamic comparison in Looker Studio, add another column to the table called "_________ Ratio."
Answer: case
Answer: Transaction
Open-Ended Long Answer Question
- You are a data analyst at a marketing agency and are asked to create a dynamic comparison in Looker Studio to help your client better understand their customer engagement metrics. Describe how you would set up this dynamic comparison and provide an example of how it could be applied to real-world data.
Example Answer:
To create a dynamic comparison in Looker Studio for customer engagement metrics, I would begin by identifying the key metrics and dimensions that are relevant to the client's goals, such as page views, sessions, new users, and bounce rate. Next, I would create a table with the desired breakdown and table metric, and add a column called "Engagement Ratio" to represent the relationship between the chosen metric and dimension.
To make the comparison dynamic, I would use parameters and case functions to allow users to select different metrics and dimensions in the table. I would also use the CONCAT function to combine the engagement ratio with the value of the table metric, providing an interactive experience for the user.