Training
Module
Create tables in Microsoft Dataverse - Training
Explore secure data management with Dataverse, learning how to create tables and import data into a cloud-based storage system.
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#table(columns as any, rows as any) as any
Creates a table value from columns
and rows
. The columns
value can be a list of column names, a table type, a number of columns, or null. The rows
value is a list of lists, where each element contains the column values for a single row.
Create an empty table.
Usage
#table({}, {})
Output
#table({}, {})
Create a table by inferring the number of columns from the first row.
Usage
#table(null, {{"Betty", 90.3}, {"Carl", 89.5}})
Output
#table({"Column1", "Column2"}, {{"Betty", 90.3}, {"Carl", 89.5}})
Create a table by specifying the number of columns.
Usage
#table(2, {{"Betty", 90.3}, {"Carl", 89.5}})
Output
#table({"Column1", "Column2"}, {{"Betty", 90.3}, {"Carl", 89.5}})
Create a table by providing a list of column names.
Usage
#table({"Name", "Score"}, {{"Betty", 90.3}, {"Carl", 89.5}})
Output
#table({"Name", "Score"}, {{"Betty", 90.3}, {"Carl", 89.5}})
Create a table with an explicit type.
Usage
#table(type table [Name = text, Score = number], {{"Betty", 90.3}, {"Carl", 89.5}})
Output
#table(type table [Name = text, Score = number], {{"Betty", 90.3}, {"Carl", 89.5}})
Training
Module
Create tables in Microsoft Dataverse - Training
Explore secure data management with Dataverse, learning how to create tables and import data into a cloud-based storage system.