When you start to create your own custom metrics and attributes, you'll use functions a lot to help you perform comparisons, calculations, and manipulations to your business information.
Explore offers many functions to help you work with, for example, dates, text strings, calculations and more. Use this article as a reference to help you discover the available functions and how to use them.
This article contains the following topics:
Getting started
You can browse for, and select functions when you create a standard calculated metric or attribute. In the formula editing window, you can either begin to type the name of a function or click Add under Functions and choose your function from the list.
When the function is added to a formula, it will appear with standard values. You must replace these with the values you want to use in your formula. In this example, you want to return only your tickets with subject lines beginning with "[Flagged]".
 In the calculations menu (), click Standard calculated attribute.
 Name your calculated attribute. This example uses Subject begins with [Flagged].
 Under Functions, click Add.
 In the formula window, type IF .
 Under Functions, click Add.
 Search for LEFTPART. Either use the search box, click Filter to scope the values down to the Text category, or scroll through the list until you find the function you want.
 Next to LEFTPART, click +.
 You'll now see the formula IF LEFTPART(_text,_number). Change the
_text parameter to the Ticket Subject attribute. Either highlight
_text and then choose Ticket subject from the Fields
menu, or amend the formula manually to add the attribute.
The formula will now read IF LEFTPART([Ticket subject],_number)
 Change the text _number to the number of characters you want to compare.
[Flagged] has nine characters, so enter 9.
The formula will now read IF LEFTPART([Ticket subject],9)
 Finally, add the condition we are searching for; in this case, the text
"Flagged". The final formula will read:
IF LEFTPART([Ticket subject],9)="Flagged" THEN [TicketID] ENDIF
Now, when you use this attribute in your report, it will only return tickets with a subject line beginning "[Flagged]"
For more help and examples, see Writing Explore formulas.
Basic mathematical operators
In addition to the above functions, you can also use the following basic mathematical operators to perform calculations and connect text:
Operator  Description 
+  Add two numeric values, or join two text strings. 
  Subtract one value from another. 
*  Multiply two values 
/  Divide one value by another 
=  Test if one value is equal to another value 
!=  Test if one value is not equal to another value 
> 
Test if the first value is greater than the following value (x>y) 
< 
Test if the first value is less than the following value (x<y) 
>= 
Test if the first value is greater than or equal to the following value (x>=y) 
<= 
Test if the first value is less than or equal to the following value (x<=y) 
%  Computes the modulo (or remainder) after dividing one value by
another. Example: 5%2 returns 1, 20%3 returns 2 
Logical functions
These functions give you great flexibility in analyzing and presenting your information just how you want.
Function  Description 
IF THEN ELSE Conditional expression  Enables you to evaluate logical values. Format: IF (condition) THEN (value if true) ELSE (value if false) ENDIF For indepth information about this function, see Using the IF THEN ELSE function. 
AND  Returns TRUE if the two supplied expressions are
TRUE. Example: IF ([Ticket channel]="Email") AND ([Submitter email]="fred@fredco.com") THEN [Ticket ID] ENDIF Returns all tickets that were received via. email from fred@freedco.com. 
OR  Returns TRUE if at least one of the supplied expressions is
TRUE. Example: IF ([Ticket channel]="Email") OR ([Ticket channel]="Twitter") THEN [Ticket ID] ENDIF Returns all tickets that were received through either the email or Twitter channels. 
NOT  Reverses the logical value of the supplied
expression. Example: IF NOT([Ticket channel]="Email") THEN [Ticket ID] ENDIF Returns all tickets that were not received through the email channel. 
TRUE  Returns the logical value "TRUE". 
FALSE  Returns the logical value "FALSE" 
IN(_param,_array)  Returns TRUE if the first entered parameter is in the array specified
in the second parameter. Examples: IN(200,ARRAY(100,200,300,400)) returns TRUE IN(250,ARRAY(20,40,60,80)) returns FALSE 
SWITCH Conditional expression  SWITCH provides an easiertounderstand alternative to IF THEN ELSE
statements that have multiple branches. SWITCH (_tested_element) { CASE _value1: _return_value CASE _value2: _return_value DEFAULT: _default_return_value } For indepth information about this function, see Adding multiple conditional expressions with SWITCH. 
Attribute functions
These functions let you perform basic operations to quantify the number of attributes returned by your report. You can also perform more advanced operations to "lock in" or extend the aggregation level of your calculations.
Function  Description 
COUNT_VALUES(_attribute)  Counts the number of values of the attribute you supply. Repeat values
are included. Can be used as a condition in calculated attributes and
metrics, but cannot be used in the THEN clause of a calculated
metric. Example: IF COUNT_VALUES([Ticket ID])>30 THEN 1 ELSE 0 ENDIF The example above returns 1 when there are more than 30 tickets, and 0 when there are fewer than 30. Tip: If you want to create a metric
that counts the number of the values of an attribute, the metric
formula should be simply [Attribute]. You can then apply the COUNT aggregator
as normal.

DCOUNT_VALUES(_attribute)  Counts the distinct number of different values of the attribute you
supply. Can be used as a condition in calculated attributes and metrics, but
cannot be used in the THEN clause of a calculated metric. Example: IF COUNT_VALUES([Organzation name])>100 THEN 1 ELSE 0 ENDIF The example above returns 1 when there are more than 100 distinct organizations, and 0 when there are fewer than 100. Tip: If you want to create a metric
that counts the number of distinct values of an attribute, the
metric formula should be simply [Attribute]. You can then apply the D_COUNT
aggregator as normal.

ATTRIBUTE_FIX(aggregator(metric name), attribute1, attribute2) 
Returns the value of aggregator(metric name) aggregated by the attributes you specify (in this example attribute1 and attribute2). No other attributes can affect the results from this metric. Example: ATTRIBUTE_FIX(MED(First Reply Time (min), [Ticket created  Year], [Ticket created  Month]) For more help and examples, see Working with aggregation level functions. 
ATTRIBUTE_ADD(aggregator(metric name), attribute1, attribute2) 
Returns the value of aggregator(metric name) aggregated to all attributes in the report in addition to attribute1 and attribute2. Example: ATTRIBUTE_ADD(MED(First Reply Time (min), [Ticket created  Year], [Ticket created  Month]) For more help and examples, see Working with aggregation level functions. 
Tag functions
These functions help you search for the presence or absence of tags. This can include ticket tags, call tags, or anything else that uses tags.
Function  Description 
INCLUDES_ALL([tag attribute], "tag1",
"tag2") or INCLUDES([tag attribute], "tag1", "tag2") 
Returns TRUE if all of the specified tags are included in the tag
attribute. Examples: INCLUDES_ALL([Ticket tags], "London", "Milan") returns TRUE if a ticket contains the tags "London" and "Milan". NOT INCLUDES_ALL ([Ticket tags], "London", "Milan") returns TRUE if a ticket does not contain both of the tags "London" and "Milan". For more examples of how to use this function, see Reporting with tags. 
INCLUDES_ANY([tag attribute], "tag1", "tag2")  Returns TRUE if any of the specified tags are included in the tag
attribute. Examples: INCLUDES_ANY([Ticket tags], "London", "Milan") returns TRUE if a ticket contains the tags "London" or "Milan". NOT INCLUDES_ANY ([Ticket tags], "London", "Milan") returns TRUE if a ticket does not contain either of the tags "London" or "Milan". For more examples of how to use this function, see Reporting with tags. 
Text functions
These functions enable you to perform operations that search and evaluate text. You can also modify text using formulas and patterns you create.
For examples of how to use some of these text functions (like CONTAINS, LEFTPART, SUBSTR, FIND, and LENGTH) see Explore recipe: Reporting on nested dropdown fields.
Function  Description 
CONTAINS(_text,_text_to_search)  Returns TRUE if the first entered parameter contains the second one as
a substring. Example: CONTAINS([Submitter name],"Sally")

ENDSWITH(_text,_text_to_search)  Returns TRUE if the first supplied text ends with the second supplied
text. Example: ENDSWITH([US State],"ippi") returns TRUE for Mississippi, but FALSE for Delaware. 
FIND(_text,_text_to_find,_number_start_index) 
Returns the index, in the first entered text, of the first instance of the second entered text, from the entered start index. Returns 1 if the second entered text is not found. The index of the first character of a string is 0. Examples: If [Ship Mode]="Urgent" then FIND([ShipMode","Norm",0) returns 1 If [Ship Mode]="Normal" then FIND([ShipMode","ma",0) returns 3 If [Ship Mode]="Urgent" then FIND([ShipMode","ge",2) returns 0 
LEFTPART(_text,_number)  Returns the leftmost _number of characters in the supplied
text. Example: If [Department]="Technical documentation" then LEFTPART([Department],9) returns "Technical" 
LENGTH(_text)  Returns the length (number of characters) of the supplied
text. Example: LENGTH([Product category]) returns the length of each value of the Product category attribute. 
LOWERCASE(_text)  Converts and returns the supplied text in lower case. 
LTRIM(_text)  Returns the supplied attribute value with any whitespace to the left
removed. Example: LTRIM([Name]) would return "Peter " if [Name] is " Peter " 
REPLACE(_text,_text_to_replace,_text_to_replace_with)  Returns a copy of _text in which all instances of
_text_to_replace have been replaced with
_text_to_replace_with. Example: IF [US State]="new York" then REPLACE([US State],"n","N") returns "New York" 
RIGHTPART(_text,_number)  Returns the rightmost _number of characters in the supplied
text. Example: If [Department]="Technical documentation" then RIGHTPART([Department],13) returns "documentation" 
RTRIM(_text)  Returns the supplied attribute value with any whitespace to the right
removed. Example: TRIM([Name]) would return " Peter" if [Name] is " Peter " 
STARTSWITH(_text,_text_to_search)  Returns TRUE if the first supplied text starts with the second supplied
text. Example: STARTSWITH([US State],"Miss") returns TRUE for Mississippi, but FALSE for Delaware. 
IS_POSITIVE(_text)  Returns TRUE for positive and FALSE for negative based on analysis of the text. 
SUBSTR(_text,_number_start_index,_number_end_index) 
Returns part of _text consisting of the character specified by start index (the first entered integer) and all characters up to end index1 (the second entered integer). Example: SUBSTR("Web marketing",0,3) returns "Web" 
TRIM(_text)  Returns the supplied attribute value with any whitespace to the left or
right removed. Example: TRIM([Name]) would return "Peter" if [Name] is " Peter ": 
UPPERCASE(_text)  Converts and returns the supplied text in upper case. 
STRING(_number)  Converts the supplied number into a string. 
LPAD(_text,_length,_pad)  Pads text to the left of _text with _pad until the string
is at _length. Example: LPAD("1",7,"?") returns "??????1" 
RPAD(_text,_length,_pad)  Pads text to the right of _text with _pad until the
string is at _length. Example: RPAD("1",7,"?") returns "1??????" 
LINK(_url,_label)  Returns a HTML link pointing to the supplied URL. For an example, see Explore recipe: Configuring clickable links to tickets. 
Regex functions
A regular expression (sometimes known as a regex or regexp) is a sequence of characters that define a search pattern. Explore contains support for using regular expressions to accomplish the following calculations in your formulas:
Function  Description 
REGEXP_MATCH(_text,_regexp)  Returns true if the text matches the regular expression. 
REGEXP_EXTRACT(_text,_regexp)  Returns the portion of text that matches the capturing group in the regular expression. For an example of how to use this function, see Can I report on user email domain in Explore? 
REGEXP_REPLACE(_text,_regexp,_replace_text)  Returns a string where any substring of text that matches the regular
expression is replaced by replace_text. Example: REGEXP_REPLACE("Hello","lo","p") returns "Help" 
For more information about regular expressions, see this Wikipedia page.
Date functions
Explore lets you create, compare, and perform calculations on dates and times. These functions are particularly useful because you'll likely spend a lot of time examining your company information over a chosen date range.
Function  Description 
DATE(_text)  Returns a new date for the text you entered. Example: DATE("7/24/1980") 
DATE(_year,_month,_day,_hour,_minute,_second)  Returns a new date for the text you entered. You must enter at least
the year, month and day. Example: DATE("1995","06","09","13","15","00") 
DATE_EQUAL(_date,_date)  Returns TRUE if the two entered dates are equal. Example: IF DATE_EQUAL([Ticket Created  Month],[Ticket Solved  Month]) THEN [Ticket ID] ENDIF Returns all tickets that were solved in the same month they were created. The year isn't included in this example so a ticket that was created in June 2018 and solved in June 2020 would be returned by this example. 
DATE_NOT_EQUAL(_date,_date)  Returns TRUE if the two entered dates are not equal. Example: IF DATE_EQUAL([Ticket Created  Month],[Ticket Solved  Month]) THEN [Ticket ID] ENDIF Returns all tickets that were not solved in the same month they were created. 
DATE_LESS(_date,_date)  Returns TRUE if the first date is earlier than the second
date. Example: IF DATE_LESS([Ticket Assigned  Date],[Ticket Due  Date  Date]) THEN [Ticket ID] ENDIF Returns all tickets that were assigned before their due date. 
DATE_LESS_OR_EQUAL(_date,_date)  Returns TRUE if the first date is earlier or the same as the second
date. Example: IF DATE_LESS_OR_EQUAL([Ticket Assigned  Date],[Ticket Due  Date  Date]) THEN [Ticket ID] ENDIF Returns all tickets that were assigned before or on their due date. 
DATE_GREATER(_date,_date)  Returns TRUE if the first date is later than the second
date. Example: IF DATE_GREATER([Ticket Assigned  Date],[Ticket Due  Date  Date]) THEN [Ticket ID] ENDIF Returns all tickets that were assigned after their due date. 
DATE_GREATER_OR_EQUAL(_date,_date)  Returns TRUE if the first date is later or the same as the second
date. Example: IF DATE_GREATER_OR_EQUAL([Ticket Assigned  Date],[Ticket Due  Date  Date]) THEN [Ticket ID] ENDIF Returns all tickets that were assigned on or after their due date. 
DATE_ADD(_date,_date_part,_increment) 
Returns the given date, updated by the entered increment. The _date_part parameter could be for example, 'year', 'quarter', 'month', 'day', 'hour', etc. The entered increment must be an integer value, but it can be negative. 
DATE_DIFF(_date,_date,_date_part)  Returns the relative or absolute difference between two dates in the
format you choose. _date_part can be one of the following: For relative differences (whole numbers):
For absolute (exact) values:
Examples: DATE_DIFF("2011/10/22","2008/01/06","year") returns 3 (20112008) DATE_DIFF("2011/10/22","2008/01/06","nb_of_years") returns 4 (actual count of years) DATE_DIFF("2019/03/06","2017/03/05","nb_of_days") returns 731 DATE_DIFF("2019/03/06","2017/03/05","day") returns 1 
DATE_FORMAT(_date,_format)  Returns the entered date in the supplied format. For a list of the formats you can use, see Formatting dates. 
TODAY()  Returns the current date (GMT) 
NOW()  Returns the current (GMT) date and time (in hours, minutes, and seconds) 
CURRENT_YEAR()  Returns the current year (GMT). 
CURRENT_HALFYEAR()  Returns the current semester (GMT) as "H1" or "H2" 
CURRENT_QUARTER()  Returns the current quarter (GMT) as "Q1", "Q2", "Q3", or "Q4" 
CURRENT_MONTH()  Returns the current month (GMT), for example "January", "February". 
CURRENT_MONTH_NUMERIC()  Returns the current month (GMT) as a number, for example "1" for January, "2" for February. 
CURRENT_DAY()  Returns the current day (GMT) as a number. 
CURRENT_WEEKDAY()  Returns the current day of the week (GMT) as text, for example "Monday", "Tuesday". 
CURRENT_WEEKDAY_NUMERIC()  Returns the current day of the week (GMT) as a number, for example "0" for Sunday, "1" for Monday. 
CURRENT_HOUR()  Returns the current hour (GMT) as a number. 
CURRENT_MINUTE()  Returns the current minute (GMT) as a number. 
CURRENT_SECOND()  Returns the current second (GMT) as a number. 
YEAR(_date)  Returns the year of the supplied date. 
MONTH(_date)  Returns the month of the supplied date as text, for example "January", "February" 
MONTH_NUMERIC(_date)  Returns the month of the supplied date as a number, for example "1" for January, "2" for February. 
DAY(_date)  Returns the day of the supplied date. 
WEEKDAY(_date)  Returns the day of the supplied date as a string, for example "Monday", "Tuesday". 
WEEKDAY_NUMERIC(_date)  Returns the day of the supplied date as a number, for example "1" for Sunday, "2" for Monday. 
HOURS(_date)  Returns the hour of the supplied date. 
MINUTES(_date)  Returns the minute of the supplied date. 
SECONDS(_date)  Returns the second of the supplied date. 
WEEK_NUMBER(_date)  Returns the week number associated with the supplied date. See Understanding how the start of the week affects week numbers. 
WEEK_NUMBER_MONDAY(_date)  Returns the week number associated with the supplied date starting on Monday. 
WEEK_NUMBER_FRIDAY(_date)  Returns the week number associated with the supplied date starting on Friday. 
WEEK_NUMBER_SATURDAY(_date)  Returns the week number associated with the supplied date starting on Saturday. 
WEEK_NUMBER_SUNDAY(_date)  Returns the week number associated with the supplied date starting on Sunday. 
START_OF_QUARTER(_date)  Returns the start of the quarter for the supplied date. 
END_OF_QUARTER(_date)  Returns the end of the quarter for the supplied date. 
START_OF_MONTH(_date)  Returns the start of the month (GMT) for the supplied date. 
END_OF_MONTH(_date)  Returns the end of the month (GMT) for the supplied date. 
START_OF_WEEK(_date)  Returns the start of the week for the supplied date. See Setting the start of the week for reports and filters. 
END_OF_WEEK(_date)  Returns the end of the week for the supplied date. See Setting the start of the week for reports and filters. 
START_OF_WEEK_MONDAY(_date)  Returns the start of the week that matches the supplied date with the week starting on Monday. 
END_OF_WEEK_MONDAY(_date)  Returns the end of the week that matches the supplied date with the week starting on Monday. 
START_OF_WEEK_FRIDAY(_date)  Returns the start of the week that matches the supplied date with the week starting on Friday. 
END_OF_WEEK_FRIDAY(_date)  Returns the end of the week that matches the supplied date with the week starting on Friday. 
START_OF_WEEK_SATURDAY(_date)  Returns the start of the week that matches the supplied date with the week starting on Saturday. 
END_OF_WEEK_SATURDAY(_date)  Returns the end of the week that matches the supplied date with the week starting on Saturday. 
START_OF_WEEK_SUNDAY(_date)  Returns the start of the week that matches the supplied date with the week starting on Sunday. 
END_OF_WEEK_SUNDAY(_date)  Returns the end of the week that matches the supplied date with the week starting on Sunday. 
DATE_FROM_TIMESTAMP(_timestamp)  Returns a date from a supplied UNIX timestamp in seconds. 
DATE_FROM_MILLI_TIMESTAMP(_timestamp)  Returns a date from a supplied UNIX timestamp in milliseconds. 
DATE_TO_TIMESTAMP(_date)  Returns a UNIX timestamp from a supplied date. 
DATE_TO_MILLI_TIMESTAMP(_date)  Returns a UNIX timestamp in milliseconds from a supplied date. 
SECONDS_TO_TIME(_time)  Converts seconds to HH:MM:SS format. 
FISCAL_YEAR(_date,_start_month)  Returns the fiscal year based on the supplied date and start month. The month parameter must be the full name of the month (e.g., "February", not "Feb"). 
FISCAL_QUARTER(_date,_start_month)  Returns the fiscal quarter based on the supplied date and start month. The month parameter must be the full name of the month (e.g., "February", not "Feb"). 
FISCAL_WEEK_NUMBER(_date,_start_month)  Returns the fiscal week number based on the supplied date and start month. The month parameter must be the full name of the month (e.g., "February", not "Feb"). 
WEEKYEAR(_date)  Returns the year of the week number associated with the supplied date. 
DATE_FIRST(time attribute) 
Returns the earliest date or timestamp according to attributes added to the report and is affected by all applied filters. Example: DATE_FIRST([Update  Timestamp]) Returns the earliest update timestamp taking into account all attributes you added to the report. For more help and examples, see Working with earliest and latest date functions. 
DATE_LAST(time attribute) 
Returns the latest date or timestamp according to attributes added to the report and is affected by all applied filters. Example: DATE_LAST([Update  Timestamp]) Returns the earliest update timestamp taking into account all attributes you added to the report. For more help and examples, see Working with earliest and latest date functions. 
DATE_FIRST_FIX(time attribute, attribute1, attribute2, ...) 
Returns the earliest date or timestamp according to the attributes specified in the function. Attributes added to the report will not affect the calculation but any filters applied will be taken into account. Example: DATE_FIRST_FIX([Update  Timestamp], [Update ticket ID]) Returns the earliest update timestamp per ticket, regardless of the attributes from the report. For more help and examples, see Working with earliest and latest date functions. 
DATE_LAST_FIX(time attribute, attribute1, attribute2, ...) 
Returns the latest date or timestamp according to the attributes specified in the function. Attributes added to the report will not affect the calculation but any filters applied will be taken into account. Example: DATE_LAST_FIX([Update  Timestamp], [Update ticket ID]) Returns the latest update timestamp per ticket, regardless of the attributes from the report. For more help and examples, see Working with earliest and latest date functions. 
Formatting dates
The DATE_FORMAT function render full timestamps as different types of dates. Each format is represented by a different letter. You enter the associated letter in the format part of the DATE_FORMAT function. Letters must be entered in double quotes.
Note: You can combine the date or time components to display more information about a date. For example if you want to view the month and year of a date you could use "MMyyyy", or if you want to view the minutes and seconds of a date you could use "mmss". If you choose to use multiple date components at once, you must include a dash between the different formats.
The table shows formats you can use. The examples use the timestamp, 20171103T03:18:25.
Date or time component  Letter  Example using 20171103T03:18:25 
Era  G  AD 
Year  y  2017 
Month number  M  11 
Month name  Mon  Nov 
Month name  MON  NOV 
Month name  Month  November 
Month name  MONTH  NOVEMBER 
Week number  w  44 
Day number of year  D  307 
Day number of month  d  3 
Day name of week  E  Fri 
AM or PM  a  AM 
Hour in day (023)  H  3 
Hour in day (124)  k  3 
Hour in AM/PM (011)  K  3 
Hour in AM/PM (112)  h  3 
Minutes  m  18 
Seconds  s  25 
Millisecond  S  0 
Timezone (UTC)  z  PST 
Time zone (RFC)  Z  800 
Numeric functions
These functions enable you to perform a wide range of mathematical calculations on the information in your reports.
Function  Description 
ABS(_number)  Returns the absolute value of the supplied number.
Examples: The absolute value of 1 is 1 The absolute value of 7.3 is 7.3 
BETWEEN(_number,_number,_number)  Returns TRUE if the first supplied number is between the two other
numbers. Example: BETWEEN(SUM(Profit),500,1500) returns TRUE if SUM(Profit) is equal to, or between 500 and 1500. 
CEIL(_number)  Returns the ceiling of the supplied number. The ceiling of a number is
its highest closest or equal integer. Examples: The ceiling of 125.4 is 126 The ceiling of 63.2 is 63 CEILING(SUM(First resolution time (min))) returns the highest closest integer to each first resolution time stored in the attribute. 
EXP(_number)  Returns the value of the base of the natural logarithm (e) to the power
of the supplied exponent. Example: EXP(SUM(Unit price)) returns the natural logarithm of each value of the SUM (Unit price) metric. 
FLOOR(_number)  Returns the floor of the supplied number. The floor of a number is its
lowest closest or equal integer. Examples: The floor of 125.4 is 125 The floor of 63.2 is 64 FLOOR(SUM(First resolution time (min))) returns the lowest closest integer to each first resolution time stored in the attribute. 
GROWTH_RATE(_number,_number)  Returns the growth rate corresponding to the two supplied
parameters. Example: If the two supplied parameters are X and Y, the growth rate is YX/ABS(X). 
INTEGER(_param)  Returns the integer of the supplied noninteger
number. Example: INTEGER(1.56) returns 1 
IS_NAN(_value)  Returns TRUE if the value is not a number
(NAN). Examples: IS_NAN("Copenhagen") returns TRUE IS_NAN(235.78) returns FALSE 
MAXIMUM(_number,_number)  Returns the largest of the two supplied
parameters. MAXIMUM(SUM(Revenues),SUM(Expenses)) returns the larger of Revenues and Expenses. 
MINIMUM(_number,_number)  Returns the smallest of the two supplied
parameters. MINIMUM(SUM(Revenues),SUM(Expenses)) returns the smaller of Revenues and Expenses. 
NUMBER(_param) 
Returns the number representation of the given parameter, or returns NaN when it cannot be displayed as a number. Examples: NUMBER("3.14116") returns 3.14116 NUMBER ([Box category]) returns the number of the current value of the Box category attribute. 
PI() 
Returns the mathematical constant for the ratio of the circumference of a circle to its diameter, expressed as PI. The value is 3.141592653589793. 
POWER(_number,_number)  Computes and returns the first supplied number to the power of the
second supplied number. Example: IF SUM(Unit Price)=2 then POWER(SUM(Unit Price),3) returns 8 
RANDOM() 
Returns a pseudorandom number 'n' where 0<=n<1. If you need a random integer, use the formula Round(Random()*100). 
ROUND(_number) 
Rounds the value of supplied number up or down to the nearest integer. If equidistant, the value is rounded up. 
SIGN(_number) 
Returns 1 if the number is negative, 0 if zero, and 1 if positive. 
SQRT(_number)  Computes and returns the square root of the supplied number. 
SQUARE(_number)  Computes and returns the square of the supplied number. 
LN(_number)  Returns the natural logarithm of the supplied number. 
LOG10(_number)  Returns the Base10 logarithm of the supplied number. 
LOG2(_number)  Returns the Base2 logarithm of the supplied number. 
LOG(_base,_number)  Returns the logarithm of the supplied number to the supplied base. 
Trigonometric functions
These functions help you to create advanced formulas for measuring angles and distances.
Function  Description 
ACOS(_number)  Computes the arc cosine of the entered number, in radians. 
ASIN(_number)  Computes the arc sine of the entered number, in radians. 
ATAN(_number)  Returns the value in radians of the angle with the tangent entered in the parameter. The value returned is between negative PI/2 and positive PI/2. 
ATAN2(_number,_number)  Returns the angle of the point Y/X in radians when measured counterclockwise from a circle's X axis (0,0 represents the center of the circle). The return value is between positive PI and negative PI. Enter the Y coordinate as the first parameter. 
COS(_number)  Computes the cosine of the entered number, in radians. 
DEGREES(_number)  Converts the given number from radians to degrees. 
RADIANS(_number)  Converts the given number from degrees to radians. 
SIN(_number)  Computes the sine of the entered number, in radians. 
TAN(_number)  Returns the tangent of the entered angle. 
URL functions
The following URL functions appear in the Explore function list, but are not currently used.
 HOST
 DOMAIN
 TLD
JSON functions
The following JSON functions appear in the Explore function list, but are not currently used.
 JSON_EXTRACT
 JSON_ARRAY_LENGTH
 JSON_EXTRACT_ARRAY_ELEMENT
Cryptography functions
Explore supports the following cryptography functions:
Function  Description 
HMAC(_algorithm,_output_format,_key,_message)  Returns a keyed hash value using the hashbased message authentication (HMAC) method. 
40 Comments
Hi CJ, you can find more about VALUE and D_COUNT in the article Choosing metric aggregators. Hope that helps!
You may refer to the article Choosing metric aggregators to know more about "VALUE' and "D_COUNT".
You may also use that article to learn about the different aggregators you can use, and how to use them.
Also, for customer metrics, you can change the default aggregator by referring to Setting a metric's default and visible aggregators.
I hope this helps.
Should START_OF_WEEK_ISO (and END_OF_WEEK) be returning the start/end of the week based on your account settings? I think this is pulling back Sundays and Saturdays respectively for our account, but I assumed it would be updated based on the specific to the day you select in your account settings per your recent feature upgrade: https://support.zendesk.com/hc/enus/articles/4418307079322#h_01FTH5XEE308FMZD440QX51AZ1
Is there a way we can achieve the 'subject of triggers fired on chats' like we can escalate that which trigger was used in the most in the chats? the customer interacted with is there a way to achieve?
At this time, unfortunately, we don't support reporting for Chat Triggers. What I recommend is to add a custom to every trigger and report on them.
For your reference: Reporting with tags
I've taken a look and found that other users are discussing similar needs here: Reporting on chat triggers
You can upvote that original post and add your detailed usecase to the conversation. Threads with a high level of engagement ultimately get flagged for product managers to review when they go through roadmap planning.
Specific examples, details about impact, and how you currently handle things are the most helpful things to share to help our product teams understand the full scope of the need when working on solutions.
We truly value customer feedback and your voice and votes on the product feedback topics in the community help influence future Zendesk functionality.
Does CONTAINS support multiple arguments? I'm looking for the equivalent to INCLUDES_ALL, but for possible field values for a numeric custom field. I want to say "if the value is one of these IDs, then return TRUE". I'm just not sure if I've hit a bug or CONTAINS can only support a single string to search for.
EDIT: ARRAY is what I really wanted. I found an example in another article, that shows how to use it a little more clearly and it does the trick:
Is there a way to build a metric that looks for public replies on assigned tickets, if the public reply was within the last 3 days?
Hi there! I've read through the comments here and got a bit further however for some reason my fixed metric is returning a different result from when I filter the data. For the date range, I even tried using DATE_GREATER_OR_EQUAL(Ticket created  Date],"2022/01/01") AND DATE_LESS_OR_EQUAL([Ticket created  Date],"2022/12/31") and got the same exact result however with this format I was at least able to change the dates to see them update to make sure it was working. I'm just not sure why the filter would result in such a hugely different number than the fixed formula?
I will have to directly check your query to determine what could be causing this data discrepancy.
I have created a ticket for you, please wait for my update via email.
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