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Function Reference
1010data Insights Platform offers a rich set of functions that may be used in value expressions when creating computed columns and in selection expressions when performing row selections.
Group functions (g_functions)
Group functions, or g_functions, are used to perform operations, such as summarizations, on rows that have the same values in a set of given columns.
Creating a selection column
All g_functions contain an optional S parameter, or a selection column, to tell the g_function whether to include or exclude a row in its calculations.

Function Reference
1010data Insights Platform offers a rich set of functions that may be used in value expressions when creating computed columns and in selection expressions when performing row selections.
- All 1010data Functions
  1010data provides a whole range of functions that can provide information and act on your data.
- Time/Date functions
  The time/date functions are vector functions that operate on columns containing time-related data and return specific information about the date/time for each row.
- Group functions (g_functions)
  Group functions, or g_functions, are used to perform operations, such as summarizations, on rows that have the same values in a set of given columns.
  - Using g_functions
    Provides an overview of basic functionality of g_functions in 1010data.
  - Creating a selection column
    All g_functions contain an optional S parameter, or a selection column, to tell the g_function whether to include or exclude a row in its calculations.
  - Summarizations
  - Statistics
  - Time and order
  - Conditional
  - Modeling
  - Matrix functions
  - Signal processing
  - Miscellaneous
- Math functions
  Math functions are vector functions that perform mathematical operations on one or more columns and return a column of results based on the operation.
- Matrix functions
- Categorization functions
  Categorization functions are vector functions that organize data and determine logical groupings. These functions can be used for conditionalizing results and/or bucketing value ranges.
- String functions
  String functions are vector functions that manipulate vectors of strings to provide information about a string or substring, concatenate and split strings, or transform strings based on specified criteria.
- List functions
  List functions are scalar functions that return lists, subsets of lists, and combinations of lists, among other functionality. Lists, along with packages, are compound scalar data types that facilitate programmatic interaction with scalar data values and variables.
- Data-handling functions
  Data-handling functions are vector functions that return a hash value based on an input column or columns.
- Row functions
  Row functions are vector functions that return computational outputs for row inputs, as opposed to column outputs. Row inputs are defined as a space- or comma-separated list of column names.
- SQL compatibility functions
  SQL compatibility functions are functions that treat null values as SQL nulls.
- Financial functions
- System functions
  System functions are special functions in 1010data that return information about users, tables, and other system objects.
- Object functions
  The object functions can be used to check the existence, type, and accessibility of objects such as folders, tables, and queries on the 1010data Insights Platform.
- Miscellaneous functions
  This category of functions contains special functions that don't neatly fit into other categories of functions.

Creating a selection column

All g_functions contain an optional S parameter, or a selection column, to tell the g_function whether to include or exclude a row in its calculations.

A selection column provides a boolean value (1 or 0) for each row in the table. A 1 in a particular row of the selection column tells the g_function to include the row in the calculation. A 0 tells the g_function to omit the row from the calculation. If there is no selection column, the g_function considers all the current rows in the table.

To create a selection column, you need to create a computed column.

In the New operation panel, click Compute. Name and label your computed column, and use the Expression Editor to enter a value expression that returns a 1 or 0. A basic example of a value expression that returns a 1 or 0 is:

store=2

Alternatively, use the Query tab and enter Macro Language code for the new column into the editor. The query should have the following format:

<willbe name="include" value="store=2"/>

The above example returns a 1 for rows in which store is equal to 2 and returns a 0 for rows in which store is not equal to 2. store is then used for the G parameter in a g_function.

A selection column doesn't need to correspond to a G parameter. A selection column may also be created for an X parameter. For instance, the following creates a selection column that only includes rows where the sales column contains a value greater than 50.00:

<willbe name="include" value="sales>50.00"/>

However, you can also create selection columns based on any column in a table. It doesn't matter if a column will be used as a parameter for a g_function; you can use it as a selection criterion.

Functions, including g_functions, can also be used in value expressions to create a selection column. For example, the following returns a selection column in which only the first row of each unique value of the store column is included:

<willbe name="firstvalflag" value="g_first1(store;;)"/>

The resulting table is below. Note that the first entry for each store is flagged with a 1 in the firstvalflag column.

You can then use the firstvalflag column as the S parameter in another g_function.