# References → Built-in Functions

## Overview of built-in functions

Incorta provides the ability to create new formula column in the business schema view or within an insight on a dashboard using a comprehensive library of formula functions.

Here is a list of supported functions when creating a new formula:

Group | Description |
---|---|

Aggregation Functions | Summarize the contents of a column of data |

Analytic Functions | Compute values over a group of rows and returns a single result for each row |

Boolean Functions | Evaluate one or more expressions and return a boolean value |

Conditional Statements | Evaluate and return the results of an expression depending on the result of evaluating a boolean expression |

Conversion Functions | Converts values from one type to another |

Filter Functions | These functions are used to filter data to those items before or after a specified date. It is also possible to filter the data in groups |

Miscellaneous Functions | Various functions for finding values in table hierarchies, setting schema refresh interval and determining the row number in a query |

Arithmetic Functions | Perform math operations on values |

Date Functions | Adjust values of type date or timestamp |

String Functions | Convert, truncate and search within text strings |

## How to read built-in function reference entries

Formula Function reference entries contain sections:

- Example(s) : includes a verbal description of a problem followed by how the solution looks in Incorta
- Syntax : the function prototype
- Notes : description of operation, context, details to pay attention to, limitations

### Typefaces

The reference entries use typefaces in the following way:

Format | Meaning | Example |
---|---|---|

italic | variable | var or $var |

bold | constant | true |

fixed | code phrase | `FindMedia(op_count,location)` |

### Expressions

Formula functions take expressions as well as literals as arguments. For example, a column called *x* might contain strings which are actually numbers: “45.6”, “77.12”, “45.91”, … To find the average of the values in that column requires the strings be converted to numeric scalars. The formula function `double`

does this. You could then write `average(double(x))`

. In this case, an expression is passed to `average`

.

Reference entries describe expressions using the `expr`

keyword. For example, `double expr`

means “expression evaluating to `double`

”. More generally, `<type> expr`

if more than one Incorta type can be passed as an argument. Square brackets `[]`

indicate an Array of values such as `double[] expr`

.

### Incorta Types

Incorta types have the same characteristics as the Java types. They are:

`string`

— series of characters`date`

— contains month, day and year`timestamp`

— contains month, day, year and time`int`

— 32 bit signed integer type`long`

— 64 bit signed integer type`double`

— 64 bit floating point type