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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.
Data-handling functions
Data-handling functions are vector functions that return a hash value based on an input column or columns.

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.
- 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.
  - dblmetaphone(R;X)
    Returns the Double Metaphone hash of a given value.
  - g_md5sum(G;S;O;X)
    Returns the MD5 hash of data for each group within a given column.
  - geohash(latitude;longitude;precision)
    Returns a geohash symbol with a given precision based on the coordinates of a particular location. (Available as of version 10.16)
  - hash(X;M)
    Returns a one-way cryptographic hash of a given string using the specified algorithm.
  - metaphone(X)
    Returns the Metaphone hash of a given value.
  - nysiis(X)
    Returns the NYSIIS hash of a given value.
  - soundex(X)
    Returns the Soundex hash of a given value.
- 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.

Data-handling functions

Data-handling functions are vector functions that return a hash value based on an input column or columns.

In general, data-handling functions allow you to perform hashing operations on data. Hashing functions map large data sets with varying lengths to smaller data sets of static lengths. For example, you could hash a list of names of varying lengths (e.g., Chris, Jon, George, Darren, Curtis), to a list of corresponding numbers of fixed length (e.g., 1, 2, 3, 4, 5).