25 Questions
What are metrics primarily used for in Flow.BI?
Performing operations with a set of data
Which of the following best describes calculated fields in Flow.BI?
User-defined formulas to create new columns in a dataset
In what way can calculated fields be used in visualizations?
To display data in a meaningful way
What is an example of using calculated fields in Flow.BI?
Calculating the profit margin for each product
How are calculated fields different from standard metrics in Flow.BI?
Calculated fields are user-defined formulas, while standard metrics are predefined
Which of the following is NOT a use case for calculated fields in Flow.BI?
Displaying raw data as is without any modifications
How do calculated fields improve user interaction with data in Flow.BI?
By transforming data to meet specific needs and generate insights
Which of the following statements about calculated fields is true?
They can create new columns in a dataset based on user-defined formulas
What can calculated fields be used for in Flow.BI?
Converting data types and creating new metrics
How do calculated fields differ from metrics in Flow.BI?
Calculated fields are used for calculations based on aggregation, while metrics are user-defined formulas.
Calculated fields in Flow.BI can only be used to create new columns in a dataset.
False
Metrics in Flow.BI are replaced by SQL expressions in SQL Lab.
False
Calculated fields in Flow.BI are predefined and cannot be customized by users.
False
Calculated fields can only perform basic mathematical calculations in Flow.BI.
False
Metrics are only applicable to a single row of data in Flow.BI.
False
Calculated fields cannot be used in visualizations such as charts and dashboards in Flow.BI.
False
Metrics and calculated fields serve the same purpose in Flow.BI.
False
Calculated fields in Flow.BI are primarily used for converting data types only.
False
Using calculated fields in Flow.BI does not provide any insights or improvements in data interaction.
False
Calculated fields are not supported for use in SQL Lab within Flow.BI.
True
Match the following terms with their descriptions in Flow.BI:
Metrics = Used for calculations based on aggregation Calculated fields = User-defined formulas to create new columns in a dataset SQL expressions = Replace metrics in a SQL statement but not available in SQL Lab Data transformation = Converting data types, combining data, creating new metrics, and performing complex calculations
Match the following actions with their purpose in Flow.BI:
Creating a new column to calculate profit margin for each product = Using a calculated field Determining the year-over-year growth rate for each customer segment = Using a calculated field Calculating the average order value for each product category = Using a calculated field Performing operations with a set of data for more than 1 row = Using metrics
Match the following statements about calculated fields in Flow.BI with their accuracy:
Only basic mathematical calculations can be performed = False Can be used to create new insights and improve data interaction = True Predefined and cannot be customized by users = False Used to transform data in various ways such as converting types and combining data = True
Match the following examples with their corresponding use case in Flow.BI:
Calculating customer lifetime value for each customer = Using a calculated field Determining churn rate for each customer segment = Using a calculated field Converting data types and combining data from multiple columns = Using data transformation Aggregate calculations based on set of data = Using metrics
Match the following features with their role in Flow.BI:
Creation of user-defined formulas for new columns = Calculated fields Performing complex operations on multiple rows of data = Metrics Replacement of metrics by SQL expressions in SQL statements = SQL expressions Converting types, combining data, creating new metrics = Data transformation
Explore the usage of metrics in the Metrics Tab of the Semantic Layer. Learn about performing calculations based on aggregation, pivoting rows to columns, and defining SQL expressions for metrics. Discover how calculated fields in Flow.BI can be utilized to transform data.
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