In EasyMorph imported and calculated values can be of one of the following types:

- Number
- Text
- Boolean
- Error
- Empty

A table column in EasyMorph can contain a mix of values of any type. For instance text values and numbers can be mixed in the same column.

Numbers are either integer or decimal numbers with a fixed decimal point.
Floating point numbers and numbers in the exponential notation are not supported.
The effective range for numbers in EasyMorph is approximately (-7.9 x 10^{28} to 7.9 x 10^{28}) / (10^{0 to 28}) which is 28-29 significant digits with or without decimal point between them.

Unicode text that can be of any length. To concatenate text strings use the ampersand (&). In expressions, text constants should be wrapped either in single or in double quotes. For instance:

'Easy' & "Morph"

replace('03-2016', '-', '/')To deal with single quotes use double quotes and vice versa.

replace('"ABC"', '"', "'")

Notice there is no dedicated type for dates in EasyMorph. Instead, as in Excel, dates are numbers that are formatted as dates. Such a number date represents the number of days since January 1st, 1900. For instance, 42680 corresponds to November 6th, 2016 because there are 42680 days from January 1st, 1900 to that date.

Dates in expressions can be specified using *date literals*.
A date literal has the format #yyyy-MM-dd.
For example:

#2016-11-06is the same as 42680 and corresponds to November 6th, 2016. Here is an example of date literals in a condition:

[Date] >= #2016-10-01 and [Date] <= #2016-12-31

Because dates are numbers, there is no need to use a special function for adding days. To get the next day just add 1. However, there are special functions for adding months — addmonth(), and years — addyears(). These functions deal correctly with leap years.

Boolean values can only be either TRUE or FALSE. Most often they are a result of a comparison or logical function, and are frequently used in conditions (more on that below).

If a table cell has no value — it's called an *empty value*.
Empty values are somewhat similar to nulls in relational databases but not exactly.
For instance, an empty value always equals another empty value, and is equal to an empty string in expressions.
All these comparisons return TRUE:

<empty value> = <empty value>

<empty value> = ''

You can check if a column value is empty using the isempty() function. The length of an empty value is always zero. To create an empty value use the empty() function. For example:

if( [Column 1]='AAA', 'Triple A', empty() )

In tables, empty values have a very light grey background (possibly unnoticeable on some monitors). That's how you can visually distinguish cells with empty values from cells with empty text strings — the latter have a white background.

Errors are special values that indicate an incorrect calculation. An error can only be the result of an expression, it can't be defined as a constant. You can check if a value is an error using the iserror() function.

if( iserror([Column 1]), empty(), [Column 1] )

Note that referencing an error value is also an error. Also, calculated parameters must not evaluate to errors. If a calculated parameter evaluates to an error then workflow execution will fail.

To reference a dataset field (column) in an expression, wrap the field name in square brackets. Note that field names themselves must not contain square brackets. Spaces, punctuation, and non-Latin characters are allowed.

[Amount] * [Price, USD]

Field names are case sensitive — e.g. [Total], [TOTAL] and [total] are 3 different field names.

To reference a parameter in an expression, wrap the parameter name in curly braces.
Note that parameter names must not contain curly braces.
Spaces, punctuation, and non-Latin characters are allowed.
In the example below *FX Rate* is a parameter:

[Amount] * {FX Rate}Parameter names are case sensitive as well.

EasyMorph has more than 120 various functions that can be used in expressions.

- Number functions
- Text functions
- Logical functions
- Date functions
- File functions
- Web functions
- Special functions

The full list of functions with examples is available in the web-help. See Help: functions.

A condition is an expression that must return only TRUE or FALSE for each row.

The following actions require *conditions*:

- Filter by condition
- Halt on condition
- Rule
- Trim by condition
- Derive table (in the conditional mode)
- Skip on condition

If a condition returns "error" (or other non-boolean value) for any row, the action that uses the condition will fail.
Use the "Clean up" action or the **iserror()** function to detect and handle errors in a column, if needed.

Conditions can sometimes require using the logical operators OR, AND, NOT. Examples of conditions:

[Amount] > 1000

[Amount] > 1000 and [Qty] <= 10

([Amount] > 1000 and [Qty] <= 10) or contains([Product name], 'Deluxe')

([Amount] > 1000 and [Qty] <= 10) or not contains([Product name], 'Deluxe')

[Country Code] = 'CA' or [Country Code]='US'

in([Country Code], 'CA|US', '|') // does the same as the condition above

not ([Country Code] = 'CA' or [Country Code]='US')

Expressions can be annotated (commented). Any text between a double-slash (//) and the end of line is considered a comment and is ignored during expression evaluation. A comment can't span several lines. Example:

//Converted amount.

[Amount] * {FX Rate} // Using a parameter for the exchange rate.

Conditional calculations can be arranged in EasyMorph using either the if() function, similar to the one in Excel, or using the IF..THEN..ELSE operator. The operator has the following syntax:

IFA shorter form where the ELSE expression is omitted and always returns an empty value, is also possible:conditionTHENexpressionELSEexpression

IFExamples:conditionTHENexpression

IF [Amount] > 1000 THEN 'Large order' ELSE 'Small order'

IF [Year] = year(today()) THEN [Amount] ELSE 0

Note that unlike the if() function, in the IF operator the "then" expression is only evaluated when the condition is TRUE. The "else" expression in this case is not evaluated (i.e. ignored). Vice verse, if the condition is FALSE, then the "then" expression is ignored, and only the "else" expression is evaluated. This behavior allows writing conditions as below:

IF [Qty] = 0 THEN 0 ELSE [Amount] / [Qty] // Doesn't fail when [Qty] = 0A simlar condition written using the if() function would fail is [Qty] is 0.

Sometimes an expression can have repetitive parts.
The LET operator allows simplifying such expressions by declaring repetitive parts as *local constants* which can later be used instead of the repetitive parts.

The operator has the following syntax:

LETOnce a local constant is declared, it can be used in the expression(s) that follow the declaration. Example:local_constant=expression

LET d = day(today())Using the LET operator and local constants allows writing concise easy-to-read expressions.

IF d=1 THEN 'First day' ELSE 'Day: ' & d

The ASSUME operator allows performing data quality checks right in expressions. The operator checks whether a condition is true, and if not it fails with an error message. Using ASSUME in expressions helps build robust and error-free calculations that don't let bad data propagate into reports and target systems. If you suspect that a certain field or parameter can potentially have incorrect values, use the ASSUME operator to validate your assumptions.

The syntax is as follows:

ASSUMEOnce a local constant is declared, it can be used in the expression(s) that follow the declaration. Example:condition

ASSUME [Tax] > 0In the example above, the final expression will only be calculated if [Tax] is a non-zero, positive number. Otherwise, a generic error message will be produced.

[Amount] + [Tax]

The error message can be customized using the extended operator syntax:

ASSUMEExample:conditionOTHERWISE FAILexpression

ASSUME [Tax] > 0 OTHERWISE FAIL "Tax must be a non-zero, positive number"Note that the OTHERWISE keyword is optional and can be safely omitted.

[Amount] + [Tax]

The IF, LET, and ASSUME operators can be used in any combination. For instance:

ASSUME isnumber({Tax rate}) and isnumber({VAT rate})

LET tax = [Subtotal] * IF not {Tax rate} = 0 THEN {Tax rate} ELSE {VAT rate}

ASSUME tax >= 0 OTHERWISE FAIL "Tax must be a non-zero, positive number"

[Amount] + tax

In a table, an expression is calculated for each row. While it's not possible to directly refer to field values in another row, the "Shift column" action can be used to bring in values from a previous or next row into the current row.

Read next: Parameters