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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.
Using g_functions
Provides an overview of basic functionality of g_functions in 1010data.

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.

Using g_functions

Provides an overview of basic functionality of g_functions in 1010data.

Group functions, or g_functions as they are known in 1010data, are a way to perform various kinds of operations, including data summaries and aggregations, across an entire column or columns in a table. Often, especially with basic g_functions, the operation will do something to one kind of data while grouping by another kind. For instance, you can use a g_function to calculate total sales by store or average temperature by city. In both these instances the data that comes after the word by is a group.

Note: All group functions work in the vector context only.

Basic parameters

While many g_functions are available in 1010data, most share at least a few basic pieces of information they must receive before they can work:

G - The name of one or more columns that will be used for grouping (e.g., store or city).
S - The name of a single column whose values tell the function to either include or omit a row in the table (i.e., 1 for include and 0 for omit). This is the selection column. See Creating a selection column for more information.
O - The order of the rows in the group.
X - The name of a column whose values will be operated on by the function (such as sales or temperature).

Basic function syntax

Group functions, or g_functions, expect each argument to be separated by a semicolon. Arguments must be provided in the order specified in the function documentation. As an example, the function g_sum(G;S;X) is called as follows (where store, storeflag, and sales are names of columns in a table):

g_sum(store;storeflag;sales)

The example above returns the sum of sales for each store where the storeflag column contains a 1.

Not all g_function parameters must be specified, depending on the function. However, when omitting a parameter, you must still include the requisite semicolon to preserve the order of arguments passed to the function. For example, if we choose to omit the S parameter, we would call the function as shown below:

g_sum(store;;sales)

The above example returns total sales for every store in the table, as no selection column is provided.

For specific information on required and optional parameters, see the topic for the specific g_function in the Function Reference.