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Podcast
Questions and Answers
What is the primary consideration for determining if a column should be used for slicing and dicing in time series charts?
What is the primary consideration for determining if a column should be used for slicing and dicing in time series charts?
- How Superset should parse the datetime format
- Whether the column is filterable
- Whether the column is temporal (correct)
- Whether the column is dimensional
Why is it important to consider if a column is filterable when customizing column properties?
Why is it important to consider if a column is filterable when customizing column properties?
- To ensure the column can be used for slicing & dicing in charts (correct)
- To determine if the column is temporal
- To decide how Superset should parse the datetime format
- To ascertain if the column is dimensional
When customizing column properties, what determines how Superset should parse the ISO 8601 datetime format?
When customizing column properties, what determines how Superset should parse the ISO 8601 datetime format?
- The column's datatype (correct)
- The dimensionality of the column
- The filterability of the column
- The temporal nature of the column
Is it important to consider if a column is temporal when customizing column properties?
Is it important to consider if a column is temporal when customizing column properties?
Should the column be filterable when customizing column properties?
Should the column be filterable when customizing column properties?
Is it necessary to determine if a datetime column should be used for slicing and dicing in time series charts when customizing column properties?
Is it necessary to determine if a datetime column should be used for slicing and dicing in time series charts when customizing column properties?
Match the following column properties with their descriptions:
Match the following column properties with their descriptions:
Match the following considerations with their relevance when customizing column properties:
Match the following considerations with their relevance when customizing column properties:
Match the following questions with their importance in customizing column properties:
Match the following questions with their importance in customizing column properties:
What is a JSON data type in Flow.BI?
What is a JSON data type in Flow.BI?
What is the primary purpose of defining custom data types in Flow.BI?
What is the primary purpose of defining custom data types in Flow.BI?
How does Flow.BI infer the data type for a column when creating a new dataset?
How does Flow.BI infer the data type for a column when creating a new dataset?
What is the purpose of a LargeString data type in Flow.BI?
What is the purpose of a LargeString data type in Flow.BI?
What is the significance of a UUID data type in Flow.BI?
What is the significance of a UUID data type in Flow.BI?
When creating a new dataset in Flow.BI, what can be done if the inferred data type for a column needs to be overridden?
When creating a new dataset in Flow.BI, what can be done if the inferred data type for a column needs to be overridden?
What does the Decimal data type represent in Flow.BI?
What does the Decimal data type represent in Flow.BI?
A string is a sequence of characters in Flow.BI data types.
A string is a sequence of characters in Flow.BI data types.
An integer in Flow.BI data types is always a positive number.
An integer in Flow.BI data types is always a positive number.
The JSON data type in Flow.BI stands for JavaScript Object Notation.
The JSON data type in Flow.BI stands for JavaScript Object Notation.
A LargeString in Flow.BI can contain up to 255 characters.
A LargeString in Flow.BI can contain up to 255 characters.
Flow.BI always infers the data type for a column based on the column name.
Flow.BI always infers the data type for a column based on the column name.
When creating a new dataset in Flow.BI, you can override the inferred data type for a column if necessary.
When creating a new dataset in Flow.BI, you can override the inferred data type for a column if necessary.
A UUID in Flow.BI is not a universally unique identifier.
A UUID in Flow.BI is not a universally unique identifier.
Match the following Flow.BI data types with their descriptions:
Match the following Flow.BI data types with their descriptions:
Match the following Flow.BI data types with their primary usage:
Match the following Flow.BI data types with their primary usage:
Match the following statements with their relevance when customizing column properties in Flow.BI:
Match the following statements with their relevance when customizing column properties in Flow.BI:
Match the following considerations with their importance in customizing column properties in Flow.BI:
Match the following considerations with their importance in customizing column properties in Flow.BI:
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