Tableau Functions (by Category)
The Tableau functions in this reference are organized by category. Click a category to browse its functions. Or press Ctrl+F (CommandF on a Mac) to open a search box that you can use to search the page for a specific function.
ABS
Syntax  ABS(number)

Output  Number (positive) 
Definition  Returns the absolute value of the given <number> . 
Example  ABS(7) = 7 The second example returns the absolute value for all the numbers contained in the Budget Variance field. 
Notes  See also SIGN . 
ACOS
Syntax  ACOS(number)

Output  Number (angle in radians) 
Definition  Returns the arccosine (angle) of the given <number> . 
Example  ACOS(1) = 3.14159265358979 
Notes  The inverse function, COS , takes the angle in radians as the argument and returns the cosine. 
ASIN
Syntax  ASIN(number)

Output  Number (angle in radians) 
Definition  Returns the arcsine (angle) of a given <number> . 
Example  ASIN(1) = 1.5707963267949 
Notes  The inverse function, SIN , takes the angle in radians as the argument and returns the sine. 
ATAN
Syntax  ATAN(number)

Output  Number (angle in radians) 
Definition  Returns the arctangent (angle) of a given <number> . 
Example  ATAN(180) = 1.5652408283942 
Notes 
The inverse function, 
ATAN2
Syntax  ATAN2(y number, x number)

Output  Number (angle in radians) 
Definition  Returns the arctangent (angle) between two numbers (x and y). The result is in radians. 
Example  ATAN2(2, 1) = 1.10714871779409 
Notes  See also ATAN , TAN , and COT . 
CEILING
Syntax  CEILING(number)

Output  Integer 
Definition  Rounds a <number> to the nearest integer of equal or greater value. 
Example  CEILING(2.1) = 3 
Notes  See also FLOOR and ROUND . 
Database limitations 

COS
Syntax  COS(number)
The number argument is the angle in radians. 
Output  Number 
Definition  Returns the cosine of an angle. 
Example  COS(PI( ) /4) = 0.707106781186548 
Notes 
The inverse function, See also 
COT
Syntax  COT(number)
The number argument is the angle in radians. 
Output  Number 
Definition  Returns the cotangent of an angle. 
Example  COT(PI( ) /4) = 1 
Notes  See also ATAN , TAN , and PI . To convert an angle from degrees to radians, use RADIANS . 
DEGREES
Syntax  DEGREES(number)
The number argument is the angle in radians. 
Output  Number (degrees) 
Definition  Converts an angle in radians to degrees. 
Example  DEGREES(PI( )/4) = 45.0 
Notes 
The inverse function, See also 
DIV
Syntax  DIV(integer1, integer2)

Output  Integer 
Definition  Returns the integer part of a division operation, in which <integer1> is divided by <integer2> . 
Example  DIV(11,2) = 5 
EXP
Syntax  EXP(number)

Output  Number 
Definition  Returns e raised to the power of the given <number> . 
Example  EXP(2) = 7.389 
Notes  See also LN . 
FLOOR
Syntax  FLOOR(number)

Output  Integer 
Definition  Rounds a number to the nearest <number> of equal or lesser value. 
Example  FLOOR(7.9) = 7 
Notes  See also CEILING and ROUND . 
Database limitations 

HEXBINX
Syntax  HEXBINX(number, number)

Output  Number 
Definition  Maps an x, y coordinate to the xcoordinate of the nearest hexagonal bin. The bins have side length 1, so the inputs may need to be scaled appropriately. 
Example  HEXBINX([Longitude]*2.5, [Latitude]*2.5) 
Notes  HEXBINX and HEXBINY are binning and plotting functions for hexagonal bins. Hexagonal bins are an efficient and elegant option for visualizing data in an x/y plane such as a map. Because the bins are hexagonal, each bin closely approximates a circle and minimizes variation in the distance from the data point to the center of the bin. This makes the clustering both more accurate and informative. 
HEXBINY
Syntax  HEXBINY(number, number)

Output  Number 
Definition  Maps an x, y coordinate to the ycoordinate of the nearest hexagonal bin. The bins have side length 1, so the inputs may need to be scaled appropriately. 
Example  HEXBINY([Longitude]*2.5, [Latitude]*2.5) 
Notes  See also HEXBINX . 
LN
Syntax  LN(number)

Output 
Number The output is 
Definition  Returns the natural logarithm of a <number> . 
Example  LN(50) = 3.912023005 
Notes  See also EXP and LOG . 
LOG
Syntax  LOG(number, [base])
If the optional base argument isn't present, base 10 is used. 
Output  Number 
Definition  Returns the logarithm of a number for the given base. 
Example  LOG(16,4) = 2 
Notes  See also POWER LN . 
MAX
Syntax  MAX(expression) or MAX(expr1, expr2) 
Output  Same data type as the argument, or NULL if any part of the argument is null. 
Definition 
Returns the maximum of the two arguments, which must be of the same data type.

Example  MAX(4,7) = 7 
Notes 
For strings
For database data sources, the For dates For dates, the As an aggregation
As a comparison
See also 
MIN
Syntax  MIN(expression) or MIN(expr1, expr2) 
Output  Same data type as the argument, or NULL if any part of the argument is null. 
Definition 
Returns the minimum of the two arguments, which must be of the same data type.

Example  MIN(4,7) = 4 
Notes 
For strings
For database data sources, the For dates For dates, the As an aggregation
As a comparison
See also 
PI
Syntax  PI()

Output  Number 
Definition  Returns the numeric constant pi: 3.14159... 
Example  PI() = 3.14159 
Notes  Useful for trig functions that take their input in radians. See also RADIANS . 
POWER
Syntax  POWER(number, power)

Output  Number 
Definition  Raises the <number> to the specified <power> . 
Example  POWER(5,3) = 125 
Notes  You can also use the ^ symbol, such as 5^3 = POWER(5,3) = 125 
RADIANS
Syntax  RADIANS(number)

Output  Number (angle in radians) 
Definition  Converts the given <number> from degrees to radians. 
Example  RADIANS(180) = 3.14159 
Notes  The inverse function, DEGREES , takes an angle in radians and returns the angle in degrees. 
ROUND
Syntax  ROUND(number, [decimals])

Output  Number 
Definition 
Rounds The optional 
Example  ROUND(1/3, 2) = 0.33 
Notes 
Some databases, such as SQL Server, allow specification of a negative length, where 1 rounds number to 10's, 2 rounds to 100's, and so on. This is not true of all databases. For example, it is not true of Excel or Access. Tip: Because 
SIGN
Syntax  SIGN(number)

Output  1, 0, or 1 
Definition  Returns the sign of a <number> : The possible return values are 1 if the number is negative, 0 if the number is zero, or 1 if the number is positive. 
Example  SIGN(AVG(Profit)) = 1 
Notes  See also ABS . 
SIN
Syntax  SIN(number)
The number argument is the angle in radians. 
Output  Number 
Definition  Returns the sine of an angle. 
Example  SIN(0) = 1.0 
Notes 
The inverse function, See also 
SQRT
Syntax  SQRT(number)

Output  Number 
Definition  Returns the square root of a <number> . 
Example  SQRT(25) = 5 
Notes  See also SQUARE . 
SQUARE
Syntax  SQUARE(number)

Output  Number 
Definition  Returns the square of a <number> . 
Example  SQUARE(5) = 25 
Notes  See also SQRT and POWER . 
TAN
Syntax  TAN(number)
The number argument is the angle in radians. 
Output  Number 
Definition  Returns the tangent of an angle. 
Example  TAN(PI ( )/4) = 1.0 
Notes  See also ATAN , ATAN2 ,COT , and PI . To convert an angle from degrees to radians, use RADIANS . 
ZN
Syntax  ZN(expression)

Output  Any, or o 
Definition 
Returns the Use this function to replace null values with zeros. 
Example  ZN(Grade) = 0 
Notes  This is a very useful function when using fields that may contain nulls in a calculation. Wrapping the field with ZN can prevent errors caused by calculating with nulls. 
ASCII
Syntax  ASCII(string)

Output  Number 
Definition  Returns the ASCII code for the first character of a <string> . 
Example  ASCII('A') = 65 
Notes  This is the inverse of the CHAR function. 
CHAR
Syntax  CHAR(number)

Output  String 
Definition  Returns the character encoded by the ASCII code <number> . 
Example  CHAR(65) = 'A' 
Notes  This is the inverse of the ASCII function. 
CONTAINS
Syntax  CONTAINS(string, substring)

Output  Boolean 
Definition  Returns true if the given string contains the specified substring. 
Example  CONTAINS("Calculation", "alcu") = true 
Notes  See also the logical function(Link opens in a new window) IN as well as supported RegEx in the additional functions documentation(Link opens in a new window). 
ENDSWITH
Syntax  ENDSWITH(string, substring)

Output  Boolean 
Definition  Returns true if the given string ends with the specified substring. Trailing white spaces are ignored. 
Example  ENDSWITH("Tableau", "leau") = true 
Notes  See also the supported RegEx in the additional functions documentation(Link opens in a new window). 
FIND
Syntax  FIND(string, substring, [start])

Output  Number 
Definition 
Returns the index position of substring in string, or 0 if the substring isn't found. The first character in the string is position 1. If the optional numeric argument 
Example  FIND("Calculation", "alcu") = 2 FIND("Calculation", "Computer") = 0 FIND("Calculation", "a", 3) = 7 FIND("Calculation", "a", 2) = 2 FIND("Calculation", "a", 8) = 0 
Notes  See also the supported RegEx in the additional functions documentation(Link opens in a new window). 
FINDNTH
Syntax  FINDNTH(string, substring, occurrence)

Output  Number 
Definition  Returns the position of the nth occurrence of substring within the specified string, where n is defined by the occurrence argument. 
Example  FINDNTH("Calculation", "a", 2) = 7 
Notes 
See also the supported RegEx in the additional functions documentation(Link opens in a new window). 
LEFT
Syntax  LEFT(string, number)

Output  String 
Definition  Returns the leftmost <number> of characters in the string. 
Example  LEFT("Matador", 4) = "Mata" 
Notes  See also MID and RIGHT. 
LEN
Syntax  LEN(string)

Output  Number 
Definition  Returns the length of the string. 
Example  LEN("Matador") = 7 
Notes  Not to be confused with the spatial function(Link opens in a new window) LENGTH . 
LOWER
Syntax  LOWER(string)

Output  String 
Definition  Returns the provided <string> in all lowercase characters. 
Example  LOWER("ProductVersion") = "productversion" 
Notes  See also UPPER and PROPER. 
LTRIM
Syntax  LTRIM(string)

Output  String 
Definition  Returns the provided <string> with any leading spaces removed. 
Example  LTRIM(" Matador ") = "Matador " 
Notes  See also RTRIM. 
MAX
Syntax  MAX(expression) or MAX(expr1, expr2) 
Output  Same data type as the argument, or NULL if any part of the argument is null. 
Definition 
Returns the maximum of the two arguments, which must be of the same data type.

Example  MAX(4,7) = 7 
Notes 
For strings
For database data sources, the For dates For dates, the As an aggregation
As a comparison
See also 
MID
Syntax  (MID(string, start, [length])

Output  String 
Definition 
Returns a string starting at the specified If the optional numeric argument 
Example  MID("Calculation", 2) = "alculation" MID("Calculation", 2, 5) ="alcul" 
Notes  See also the supported RegEx in the additional functions documentation(Link opens in a new window). 
MIN
Syntax  MIN(expression) or MIN(expr1, expr2) 
Output  Same data type as the argument, or NULL if any part of the argument is null. 
Definition 
Returns the minimum of the two arguments, which must be of the same data type.

Example  MIN(4,7) = 4 
Notes 
For strings
For database data sources, the For dates For dates, the As an aggregation
As a comparison
See also 
PROPER
Syntax  PROPER(string)

Output  String 
Definition 
Returns the provided 
Example  PROPER("PRODUCT name") = "Product Name" PROPER("darcymae") = "DarcyMae" 
Notes 
Spaces and nonalphanumeric characters such as punctuation are treated as separators. 
Database limitations  PROPER is only available for some flat files and in extracts. If you need to use PROPER in a data source that doesn't otherwise support it, consider using an extract. 
REPLACE
Syntax  REPLACE(string, substring, replacement

Output  String 
Definition  Searches <string> for <substring> and replaces it with <replacement> . If <substring> is not found, the string is not changed. 
Example  REPLACE("Version 3.8", "3.8", "4x") = "Version 4x" 
Notes  See also REGEXP_REPLACE in the additional functions documentation(Link opens in a new window). 
RIGHT
Syntax  RIGHT(string, number)

Output  String 
Definition  Returns the rightmost <number> of characters in the string. 
Example  RIGHT("Calculation", 4) = "tion" 
Notes  See also LEFT and MID. 
RTRIM
Syntax  RTRIM(string)

Output  String 
Definition  Returns the provided <string> with any trailing spaces removed. 
Example  RTRIM(" Calculation ") = " Calculation" 
Notes  See also LTRIM and TRIM. 
SPACE
Syntax  SPACE(number)

Output  String (specifically, just spaces) 
Definition  Returns a string that is composed of the specified number of repeated spaces. 
Example  SPACE(2) = " " 
SPLIT
Syntax  SPLIT(string, delimiter, token number)

Output  String 
Definition  Returns a substring from a string, using a delimiter character to divide the string into a sequence of tokens. 
Example  SPLIT ("abcd", "", 2) = "b" SPLIT ("abcd", "", 2) = "c" 
Notes 
The string is interpreted as an alternating sequence of delimiters and tokens. So for the string
See also supported REGEX in the additional functions documentation(Link opens in a new window). 
Database limitations 
The split and custom split commands are available for the following data sources types: Tableau data extracts, Microsoft Excel, Text File, PDF File, Salesforce, OData, Microsoft Azure Market Place, Google Analytics, Vertica, Oracle, MySQL, PostgreSQL, Teradata, Amazon Redshift, Aster Data, Google Big Query, Cloudera Hadoop Hive, Hortonworks Hive, and Microsoft SQL Server. Some data sources impose limits on splitting strings. See SPLIT function limitations later in this topic. 
STARTSWITH
Syntax  STARTSWITH(string, substring)

Output  Boolean 
Definition  Returns true if string starts with substring . Leading white spaces are ignored. 
Example  STARTSWITH("Matador, "Ma") = TRUE 
Notes  See also CONTAINS, as well as supported REGEX in the additional functions documentation(Link opens in a new window). 
TRIM
Syntax  TRIM(string)

Output  String 
Definition  Returns the provided <string> with leading and trailing spaces removed. 
Example  TRIM(" Calculation ") = "Calculation" 
Notes  See also LTRIM and RTRIM. 
UPPER
Syntax  UPPER(string)

Output  String 
Definition  Returns the provided <string> in all uppercase characters. 
Example  UPPER("Calculation") = "CALCULATION" 
Notes  See also PROPER and LOWER. 
Many date functions in Tableau take the argument date_part
, which is a string constant that tells the function what part of a date to consider, such as day, week, quarter, etc.The valid date_part
values that you can use are:
date_part  Values 

'year'

Fourdigit year 
'quarter'

14 
'month'

112 or "January", "February", and so on 
'dayofyear'

Day of the year; Jan 1 is 1, Feb 1 is 32, and so on 
'day'

131 
'weekday'

17 or "Sunday", "Monday", and so on 
'week'

152 
'hour'

023 
'minute'

059 
'second'

060 
'isoyear'

Fourdigit ISO 8601 year 
'isoquarter'

14 
'isoweek'

152, start of week is always Monday 
'isoweekday'

17, start of week is always Monday 
Note: Date functions do not take account of the configured fiscal year start. See Fiscal Dates.
DATE
Type conversion function that changes string and number expressions into dates, as long as they are in a recognizable format.
Syntax  DATE(expression)

Output  Date 
Definition  Returns a date given a number, string, or date <expression> . 
Example  DATE([Employee Start Date]) DATE("September 22, 2018") DATE("9/22/2018") DATE(#20180922 14:52#) 
Notes 
Unlike

DATEADD
Adds a specified number of date parts (months, days, etc) to the starting date.
Syntax  DATEADD(date_part, interval, date)

Output  Date 
Definition  Returns the <date> with the specified number <interval> added to the specified <date_part> of that date. For example, adding three months or 12 days to a starting date. 
Example 
Push out all due dates by one week DATEADD('week', 1, [due date]) Add 280 days to the date February 20, 2021 DATEADD('day', 280, #2/20/21#) = #November 27, 2021# 
Notes  Supports ISO 8601 dates. 
DATEDIFF
Returns the number of date parts (weeks, years, etc) between two dates.
Syntax  DATEDIFF(date_part, date1, date2, [start_of_week])

Output  Integer 
Definition  Returns the difference between <date1> and <date2n> expressed in units of <date_part> . For example, subtracting the dates someone entered and left a band to see how long they were in the band. 
Example 
Number of days between March 25, 1986 and February 20, 2021 DATEDIFF('day', #3/25/1986#, #2/20/2021#) = 12,751 How many months someone was in a band DATEDIFF('month', [date joined band], [date left band]) 
Notes  Supports ISO 8601 dates. 
DATENAME
Returns the name of the specified date part as a discrete string.
Syntax  DATENAME(date_part, date, [start_of_week])

Output  String 
Definition  Returns <date_part> of <date> as a string. 
Example  DATENAME('year', #3/25/1986#) = "1986" DATENAME('month', #19860325#) = "March" 
Notes 
Supports ISO 8601 dates. A very similar calculation is DATEPART, which returns the value of the specified date part as a continuous integer. By changing the attributes of the calculation’s result (dimension or measure, continuous or discrete) and the date formatting, the results of An inverse function is DATEPARSE, which takes a string value and formats it as a date. 
DATEPARSE
Returns specifically formatted strings as dates.
Syntax  DATEPARSE(date_format, date_string)

Output  Date 
Definition  The <date_format> argument describes how the <date_string> field is arranged. Because of the variety of ways the string field can be ordered, the <date_format> must match exactly. For a full explanation, see Convert a Field to a Date Field(Link opens in a new window). 
Example  DATEPARSE('yyyyMMdd', "19860325") = #March 25, 1986# 
Notes 
Inverse functions, which take dates apart and return the value of their parts, are 
Database limitations 

DATEPART
Returns the name of the specified date part as an integer.
Syntax  DATEPART(date_part, date, [start_of_week])

Output  Integer 
Definition  Returns <date_part> of <date> as an integer. 
Example  DATEPART('year', #19860325#) = 1986 DATEPART('month', #19860325#) = 3 
Notes 
Supports ISO 8601 dates. A very similar calculation is An inverse function is 
DATETRUNC
This function can be thought of as date rounding. It takes a specific date and returns a version of that date at the desired specificity. Because every date must have a value for day, month, quarter, and year, DATETRUNC
sets the values as the lowest value for each date part up to the date part specified. Refer to the example for more information.
Syntax  DATETRUNC(date_part, date, [start_of_week])

Output  Date 
Definition  Truncates the <date> to the accuracy specified by the <date_part> . This function returns a new date. For example, when you truncate a date that is in the middle of the month at the month level, this function returns the first day of the month. 
Example  DATETRUNC('day', #9/22/2018#) = #9/22/2018# DATETRUNC('isoweek', #9/22/2018#) = #9/17/2018# (the monday of the week containing 9/22/2018) DATETRUNC(quarter, #9/22/2018#) = #7/1/2018# (the first day of the quarter containing 9/22/2018) Note: For week and isoweek, the 
Notes 
Supports ISO 8601 dates. You shouldn't use For example, 
DAY
Returns the day of the month (131) as an integer.
Syntax  DAY(date)

Output  Integer 
Definition  Returns the day of the given <date> as an integer. 
Example  Day(#September 22, 2018#) = 22 
Notes  See also WEEK , MONTH , QUARTER , YEAR , and the ISO equivalents. 
ISDATE
Checks if the string is a valid date format.
Syntax  ISDATE(string)

Output  Boolean 
Definition  Returns true if a given <string> is a valid date. 
Example  ISDATE(09/22/2018) = true ISDATE(22SEP18) = false 
Notes  The required argument must be a string. ISDATE cannot be used for a field with a date data type—the calculation will return an error. 
ISOQUARTER
Syntax  ISOQUARTER(date)

Output  Integer 
Definition  Returns the ISO8601 weekbased quarter of a given <date> as an integer. 
Example  ISOQUARTER(#19860325#) = 1 
Notes  See also ISOWEEK , ISOWEEKDAY , ISOYEAR , and the nonISO equivalents. 
ISOWEEK
Syntax  ISOWEEK(date)

Output  Integer 
Definition  Returns the ISO8601 weekbased week of a given <date> as an integer. 
Example  ISOWEEK(#19860325#) = 13 
Notes  See also ISOWEEKDAY , ISOQUARTER , ISOYEAR , and the nonISO equivalents. 
ISOWEEKDAY
Syntax  ISOWEEKDAY(date)

Output  Integer 
Definition  Returns the ISO8601 weekbased weekday of a given <date> as an integer. 
Example  ISOWEEKDAY(#19860325#) = 2 
Notes  See also ISOWEEK , ISOQUARTER , ISOYEAR , and the nonISO equivalents. 
ISOYEAR
Syntax  ISOYEAR(date)

Output  Integer 
Definition  Returns the ISO8601 weekbased year of a given <date> as an integer. 
Example  ISOYEAR(#19860325#) = 1,986 
Notes  See also ISOWEEK , ISOWEEKDAY , ISOQUARTER , and the nonISO equivalents. 
MAKEDATE
Syntax  MAKEDATE(year, month, day)

Output  Date 
Definition  Returns a date value constructed from the specified <year> , <monthg> , and <day> . 
Example  MAKEDATE(1986,3,25) = #19860325# 
Notes 
Note: Incorrectly entered values will be adjusted into a date, such as Available for Tableau Data Extracts. Check for availability in other data sources.

MAKEDATETIME
Syntax  MAKEDATETIME(date, time)

Output  Datetime 
Definition  Returns a datetime that combines a <date> and a <time> . The date can be a date, datetime, or a string type. The time must be a datetime. 
Example  MAKEDATETIME("18991230", #07:59:00#) = #12/30/1899 7:59:00 AM# MAKEDATETIME([Date], [Time]) = #1/1/2001 6:00:00 AM# 
Notes 
This function is available only for MySQLcompatible connections (which for Tableau are MySQL and Amazon Aurora).

MAKETIME
Syntax  MAKETIME(hour, minute, second)

Output  Datetime 
Definition  Returns a date value constructed from the specified <hour> , <minute> , and <second> . 
Example  MAKETIME(14, 52, 40) = #1/1/1899 14:52:40# 
Notes 
Because Tableau does not support a time data type, only datetime, the output is a datetime. The date portion of the field will be 1/1/1899. Similar function to 
MAX
Syntax  MAX(expression) or MAX(expr1, expr2) 
Output  Same data type as the argument, or NULL if any part of the argument is null. 
Definition 
Returns the maximum of the two arguments, which must be of the same data type.

Example  MAX(4,7) = 7 
Notes 
For strings
For database data sources, the For dates For dates, the As an aggregation
As a comparison
See also 
MIN
Syntax  MIN(expression) or MIN(expr1, expr2) 
Output  Same data type as the argument, or NULL if any part of the argument is null. 
Definition 
Returns the minimum of the two arguments, which must be of the same data type.

Example  MIN(4,7) = 4 
Notes 
For strings
For database data sources, the For dates For dates, the As an aggregation
As a comparison
See also 
MONTH
Syntax  MONTH(date)

Output  Integer 
Definition  Returns the month of the given <date> as an integer. 
Example  MONTH(#19860325#) = 3 
Notes  See also DAY , WEEK , QUARTER , YEAR , and the ISO equivalents 
NOW
Syntax  NOW()

Output  Datetime 
Definition  Returns the current local system date and time. 
Example  NOW() = 19860325 1:08:21 PM 
Notes 
See also If the data source is a live connection, the system date and time could be in another timezone. For more information on how to address this, see the Knowledge Base. 
QUARTER
Syntax  QUARTER(date)

Output  Integer 
Definition  Returns the quarter of the given <date> as an integer. 
Example  QUARTER(#19860325#) = 1 
Notes  See also DAY , WEEK , MONTH , YEAR , and the ISO equivalents 
TODAY
Syntax  TODAY()

Output  Date 
Definition  Returns the current local system date. 
Example  TODAY() = 19860325 
Notes 
See also NOW, a similar calculation that returns a datetime instead of a date. If the data source is a live connection, the system date could be in another timezone. For more information on how to address this, see the Knowledge Base. 
WEEK
Syntax  WEEK(date)

Output  Integer 
Definition  Returns the week of the given <date> as an integer. 
Example  WEEK(#19860325#) = 13 
Notes  See also DAY , MONTH , QUARTER , YEAR , and the ISO equivalents 
YEAR
Syntax  YEAR(date)

Output  Integer 
Definition  Returns the year of the given <date> as an integer. 
Example  YEAR(#19860325#) = 1,986 
Notes  See also DAY , WEEK , MONTH , QUARTER , and the ISO equivalents 
AND
Syntax  <expr1> AND <expr2>

Definition  Performs a logical conjunction on two expressions. (If both sides are true, the logical test returns true.) 
Output  Boolean (true or false) 
Example  IF [Season] = "Spring" AND "[Season] = "Fall" "If both (Season = Spring) and (Season = Fall) are true simultaneously, then return It's the apocalypse and footwear doesn't matter." 
Notes 
Often used with IF and IIF. See also NOT and OR. If both expressions are If you create a calculation in which the result of an Note: The 
CASE
Syntax  CASE <expression>

Output  Depends on data type of the <then> values. 
Definition 
Evaluates the 
Example 
"Look at the Season field. If the value is Summer, then return Sandals. If the value is Winter, then return Boots. If none of the options in the calculation match what is in the Season field, return a Sneakers." 
Notes 
Used with WHEN, THEN, ELSE, and END. Tip: Many times you can use a group to get the same results as a complicated CASE function, or use CASE to replace native grouping functionality, such as in the previous example. You may want to test which is more performant for your scenario. 
ELSE
Syntax  CASE <expression>

Definition  An optional piece of an IF or CASE expression used to specify a default value to return if none of the tested expressions are true. 
Example  IF [Season] = "Summer" THEN 'Sandals' CASE [Season] 
Notes 
Used with CASE, WHEN, IF, ELSEIF, THEN, and END

ELSEIF
Syntax  [ELSEIF <test2> THEN <then2>]

Definition  An optional piece of an IF expression used to specify additional conditions beyond the initial IF. 
Example  IF [Season] = "Summer" THEN 'Sandals' 
Notes 
Used with IF, THEN, ELSE, and END
Unlike 
END
Definition  Used to close an IF or CASE expression. 
Example  IF [Season] = "Summer" THEN 'Sandals' "If Season = Summer, then return Sandals. If not, look at the next expression. If Season = Winter, then return Boots. If neither of the expressions are true, return Sneakers." CASE [Season] "Look at the Season field. If the value is Summer, then return Sandals. If the value is Winter, then return Boots. If none of the options in the calculation match what is in the Season field, return a Sneakers." 
Notes 
IF
Syntax  IF <test1> THEN <then1>

Output  Depends on data type of the <then> values. 
Definition 
Tests a series of expressions and returns the 
Example  IF [Season] = "Summer" THEN 'Sandals' "If Season = Summer, then return Sandals. If not, look at the next expression. If Season = Winter, then return Boots. If neither of the expressions are true, return Sneakers." 
Notes 
IFNULL
Syntax  IFNULL(expr1, expr2)

Output  Depends on the data type of the <expr> values. 
Definition 
Returns 
Example  IFNULL([Assigned Room], "TBD") "If the Assigned Room field isn't null, return its value. If the Assigned room field is null, return TBD instead." 
Notes 
Compare with ISNULL. See also ZN. 
IIF
Syntax  IIF(<test>, <then>, <else>, [<unknown>])

Output  Depends on the data type of the values in the expression. 
Definition  Checks whether a condition is met (<test> ), and returns <then> if the test is true, <else> if the test is false, and an optional value for <unknown> if the test is null. If the optional unknown isn't specified, IIF returns null. 
Example  IIF([Season] = 'Summer', 'Sandals', 'Other footwear') "If Season = Summer, then return Sandals. If not, return Other footwear" IIF([Season] = 'Summer', 'Sandals', "If Season = Summer, then return Sandals. If not, look at the next expression. If Season = Winter, then return Boots. If neither are true, return Sneakers." IIF('Season' = 'Summer', 'Sandals', "If Season = Summer, then return Sandals. If not, look at the next expression. If Season = Winter, then return Boots. If none of the expressions are true, return Sneakers." 
Notes 
That is to say, in the calculation below, the result will be Red, not Orange, because the expression stops being evaluated as soon as A=A is evaluated as true: 
IN
Syntax  <expr1> IN <expr2>

Output  Boolean (true or false) 
Definition 
Returns TRUE if any value in <expr1> matches any value in <expr2> . 
Example  SUM([Cost]) IN (1000, 15, 200) "Is the value of the Cost field 1000, 15, or 200?" [Field] IN [Set] "Is the value of the field present in the set?" 
Notes 
The values in See also WHEN. 
ISDATE
Syntax  ISDATE(string)

Output  Boolean (true or false) 
Definition  Returns true if a <string> is a valid date. The input expression must be a string (text) field. 
Example  ISDATE("20180922") "Is the string 20180922 a properly formatted date?" 
Notes 
What is considered a valid date depends on the locale(Link opens in a new window) of the system evaluating the calculation. For example: In the USA:
In the UK:

ISNULL
Syntax  ISNULL(expression)

Output  Boolean (true or false) 
Definition 
Returns true if the 
Example  ISNULL([Assigned Room]) "Is the Assigned Room field null?" 
Notes 
Compare with IFNULL. See also ZN. 
MAX
Syntax  MAX(expression) or MAX(expr1, expr2) 
Output  Same data type as the argument, or NULL if any part of the argument is null. 
Definition 
Returns the maximum of the two arguments, which must be of the same data type.

Example  MAX(4,7) = 7 
Notes 
For strings
For database data sources, the For dates For dates, the As an aggregation
As a comparison
See also 
MIN
Syntax  MIN(expression) or MIN(expr1, expr2) 
Output  Same data type as the argument, or NULL if any part of the argument is null. 
Definition 
Returns the minimum of the two arguments, which must be of the same data type.

Example  MIN(4,7) = 4 
Notes 
For strings
For database data sources, the For dates For dates, the As an aggregation
As a comparison
See also 
NOT
Syntax  NOT <expression>

Output  Boolean (true or false) 
Definition  Performs logical negation on an expression. 
Example  IF NOT [Season] = "Summer" "If Season doesn't equal Summer, then return Don't wear sandals. If not, return Wear sandals." 
Notes 
OR
Syntax  <expr1> OR <expr2>

Output  Boolean (true or false) 
Definition  Performs a logical disjunction on two expressions. 
Example  IF [Season] = "Spring" OR [Season] = "Fall" "If either (Season = Spring) or (Season = Fall) is true, then return Sneakers." 
Notes 
Often used with IF and IIF. See also DATE and NOT. If either expression
is If you create
a calculation which displays the result of an Note: The 
THEN
Syntax  IF <test1> THEN <then1>

Definition  A required part of an IF , ELSEIF , or CASE expression, used to define what result to return if a specific value or test is true. 
Example  IF [Season] = "Summer" THEN 'Sandals' "If Season = Summer, then return Sandals. If not, look at the next expression. If Season = Winter, then return Boots. If neither of the expressions are true, return Sneakers." CASE [Season] "Look at the Season field. If the value is Summer, then return Sandals. If the value is Winter, then return Boots. If none of the options in the calculation match what is in the Season field, return a Sneakers." 
Notes 
WHEN
Syntax  CASE <expression>

Definition  A required part of a CASE expression. Finds the first <value> that matches <expression> and returns the corresponding <then> . 
Example  CASE [Season] "Look at the Season field. If the value is Summer, then return Sandals. If the value is Winter, then return Boots. If none of the options in the calculation match what is in the Season field, return a Sneakers." 
Notes 
Used with CASE, THEN, ELSE, and END.
CASE <expression> The values that 
ZN
Syntax  ZN(expression)

Output  Depends on the data type of the <expression> , or 0. 
Definition  Returns <expression> if it isn't null, otherwise returns zero. 
Example  ZN([Test Grade]) "If the test grade isn't null, return its value. If the test grade is null, return 0." 
Notes 
See also ISNULL. 
ATTR
Syntax  ATTR(expression)

Definition  Returns the value of the expression if it has a single value for all rows. Otherwise returns an asterisk. Null values are ignored. 
AVG
Syntax  AVG(expression)

Definition  Returns the average of all the values in the expression. Null values are ignored. 
Notes  AVG can only be used with numeric fields. 
COLLECT
Syntax  COLLECT(spatial)

Definition  An aggregate calculation that combines the values in the argument field. Null values are ignored. 
Notes  COLLECT can only be used with spatial fields. 
CORR
Syntax  CORR(expression1, expression2)

Output  Number from 1 to 1 
Definition  Returns the Pearson correlation coefficient of two expressions. 
Example  example 
Notes 
The Pearson correlation measures the linear relationship between two variables. Results range from 1 to +1 inclusive, where 1 denotes an exact positive linear relationship, 0 denotes no linear relationship between the variance, and −1 is an exact negative relationship. The square of a CORR result is equivalent to the RSquared value for a linear trend line model. See Trend Line Model Terms(Link opens in a new window). Use with table scoped LOD expressions: You can use CORR to visualize correlation in a disaggregated scatter using a tablescoped level of detail expression(Link opens in a new window). For example: {CORR(Sales, Profit)} With a level of detail expression, the correlation is run over all rows. If you used a formula like 
Database limitations 
For other data sources, consider either extracting the data or using 
COUNT
Syntax  COUNT(expression)

Definition  Returns the number of items. Null values are not counted. 
COUNTD
Syntax  COUNTD(expression)

Definition  Returns the number of distinct items in a group. Null values are not counted. 
COVAR
Syntax  COVAR(expression1, expression2)

Definition  Returns the sample covariance of two expressions. 
Notes 
Covariance quantifies how two variables change together. A positive covariance indicates that the variables tend to move in the same direction, as when larger values of one variable tend to correspond to larger values of the other variable, on average. Sample covariance uses the number of nonnull data points n  1 to normalize the covariance calculation, rather than n, which is used by the population covariance (available with the If The value of 
Database limitations 
For other data sources, consider either extracting the data or using 
COVARP
Syntax  COVARP(expression 1, expression2)

Definition  Returns the population covariance of two expressions. 
Notes 
Covariance quantifies how two variables change together. A positive covariance indicates that the variables tend to move in the same direction, as when larger values of one variable tend to correspond to larger values of the other variable, on average. Population covariance is sample covariance multiplied by (n1)/n, where n is the total number of nonnull data points. Population covariance is the appropriate choice when there is data available for all items of interest as opposed to when there is only a random subset of items, in which case sample covariance (with the If 
Database limitations 
For other data sources, consider either extracting the data or using 
MAX
Syntax  MAX(expression) or MAX(expr1, expr2) 
Output  Same data type as the argument, or NULL if any part of the argument is null. 
Definition 
Returns the maximum of the two arguments, which must be of the same data type.

Example  MAX(4,7) = 7 
Notes 
For strings
For database data sources, the For dates For dates, the As an aggregation
As a comparison
See also 
MEDIAN
Syntax  MEDIAN(expression)

Definition  Returns the median of an expression across all records. Null values are ignored. 
Notes  MEDIAN can only be used with numeric fields. 
Database limitations 
For other data source types, you can extract your data into an extract file to use this function. See Extract Your Data(Link opens in a new window). 
MIN
Syntax  MIN(expression) or MIN(expr1, expr2) 
Output  Same data type as the argument, or NULL if any part of the argument is null. 
Definition 
Returns the minimum of the two arguments, which must be of the same data type.

Example  MIN(4,7) = 4 
Notes 
For strings
For database data sources, the For dates For dates, the As an aggregation
As a comparison
See also 
PERCENTILE
Syntax  PERCENTILE(expression, number)

Definition  Returns the percentile value from the given expression corresponding to the specified <number> . The <number> must be between 0 and 1 (inclusive) and must be a numeric constant. 
Example  PERCENTILE([Score], 0.9) 
Notes  
Database limitations 
This function is available for the following data sources: Nonlegacy Microsoft Excel and Text File connections, Extracts and extractonly data source types (for example, Google Analytics, OData, or Salesforce), Sybase IQ 15.1 and later data sources, Oracle 10 and later data sources, Cloudera Hive and Hortonworks Hadoop Hive data sources, EXASolution 4.2 and later data sources. For other data source types, you can extract your data into an extract file to use this function. See Extract Your Data(Link opens in a new window). 
STDEV
Syntax  STDEV(expression)

Definition  Returns the statistical standard deviation of all values in the given expression based on a sample of the population. 
STDEVP
Syntax  STDEVP(expression)

Definition  Returns the statistical standard deviation of all values in the given expression based on a biased population. 
SUM
Syntax  SUM(expression)

Definition  Returns the sum of all values in the expression. Null values are ignored. 
Notes  SUM can only be used with numeric fields. 
VAR
Syntax  VAR(expression)

Definition  Returns the statistical variance of all values in the given expression based on a sample of the population. 
VARP
Syntax  VARP(expression)

Definition  Returns the statistical variance of all values in the given expression on the entire population. 
FULLNAME( )
Syntax  FULLNAME( )

Output  String 
Definition 
Returns the full name for the current user. 
Example  FULLNAME( ) This returns the full name of the signed in user, such as "Hamlin Myrer". [Manager] = FULLNAME( ) If manager "Hamlin Myrer" is signed in, this example returns TRUE only if the Manager field in the view contains "Hamlin Myrer". 
Notes 
This function checks:
User filters When used as a filter, a calculated field such as 
ISFULLNAME
Syntax  ISFULLNAME("User Full Name")

Output  Boolean 
Definition 
Returns 
Example  ISFULLNAME("Hamlin Myrer") 
Notes 
The This function checks:

ISMEMBEROF
Syntax  ISMEMBEROF("Group Name")

Output  Boolean or null 
Definition 
Returns 
Example  ISMEMBEROF('Superstars') ISMEMBEROF('domain.lan\Sales') 
Notes 
The If the user is signed in to Tableau Cloud or Tableau Server, group membership is determined by Tableau groups. The function will return TRUE if the given string is "All Users" The If a change is made to a user's group membership, the change in the data that is based on the group membership is reflected in a workbook or view with a new session. The existing session will reflect stale data. 
ISUSERNAME
Syntax  ISUSERNAME("username")

Output  Boolean 
Definition  Returns TRUE if the current user's username matches the specified username or FALSE if it does not match. 
Example  ISUSERNAME("hmyrer") 
Notes 
The This function checks:

USERDOMAIN( )
Syntax  USERDOMAIN( )

Output  String 
Definition  Returns the domain for the current user . 
Notes 
This function checks:

USERNAME( )
Syntax  USERNAME( )

Output  String 
Definition  Returns the username for the current user. 
Example  USERNAME( ) This returns the username of the signed in user, such as "hmyrer". [Manager] = USERNAME( ) If manager "hmyrer" is signed in, this example returns TRUE only if the Manager field in the view contains "hmyrer". 
Notes 
This function checks:
User filters When used as a filter, a calculated field such as 
USERATTRIBUTE
Note: For embedding workflows in Tableau Cloud only. For more information, see Authentication and Embedded Views(Link opens in a new window).
Syntax  USERATTRIBUTE('attribute_name')

Output  String or null 
Definition 
If Returns null if 
Example 
Suppose "Region" is the user attribute included in the JWT and passed to Tableau (using the connected app already configured by your site admin). As the workbook author, you can set up your visualization to filter data based on a specified region. In that filter, you can reference the following calculation. [Region] = USERATTRIBUTE("Region") When User2 from the West region views the embedded visualization, Tableau shows the appropriate data for the West region only. 
Notes  You can use the USERATTRIBUTEINCLUDES function if you expect <'attribute_name'> to return multiple values. 
USERATTRIBUTEINCLUDES
Note: For embedding workflows in Tableau Cloud only. For more information, see Authentication and Embedded Views(Link opens in a new window).
Syntax  USERATTRIBUTEINCLUDES('attribute_name', 'expected_value')

Output  Boolean 
Definition 
Returns
Returns 
Example 
Suppose "Region" is the user attribute included in the JWT and passed to Tableau (using the connected app already configured by your site admin). As the workbook author, you can set up your visualization to filter data based on a specified region. In that filter, you can reference the following calculation. USERATTRIBUTEINCLUDES('Region', [Region]) If User2 from the West region accesses the embedded visualization, Tableau checks if the Region user attribute matches one of [Region] field values. When true, the visualization shows the appropriate data. When User3 from the North region accesses the same visualization, she’s unable to see any data because there’s no match with [Region] field values. 
FIRST( )
Returns the number of rows from the current row to the first row in the partition. For example, the view below shows quarterly sales. When FIRST() is computed within the Date partition, the offset of the first row from the second row is 1.
Example
When the current row index is 3, FIRST()
= 2
.
INDEX( )
Returns the index of the current row in the partition, without any sorting with regard to value. The first row index starts at 1. For example, the table below shows quarterly sales. When INDEX() is computed within the Date partition, the index of each row is 1, 2, 3, 4..., etc.
Example
For the third row in the partition, INDEX() = 3
.
LAST( )
Returns the number of rows from the current row to the last row in the partition. For example, the table below shows quarterly sales. When LAST() is computed within the Date partition, the offset of the last row from the second row is 5.
Example
When the current row index is 3
of 7, LAST() = 4
.
LOOKUP(expression, [offset])
Returns the
value of the expression in a target row, specified as a relative
offset from the current row. Use FIRST() + n and LAST()  n as part of your offset definition for
a target relative to the first/last rows in the partition. If offset
is omitted, the row to compare to can be set on the field menu. This function returns
NULL if the target row cannot be determined.
The view below shows quarterly sales. When LOOKUP (SUM(Sales), 2)
is computed within the Date partition, each row shows the sales
value from 2 quarters into the future.
Example
LOOKUP(SUM([Profit]),
FIRST()+2)
computes the SUM(Profit) in the third row of the partition.
MODEL_EXTENSION_BOOL (model_name, arguments, expression)
Returns the boolean result of an expression as calculated by a named model deployed on a TabPy external service.
Model_name is the name of the deployed analytics model you want to use.
Each argument is a single string that sets the input values that the deployed model accepts, and is defined by the analytics model.
Use expressions to define the values that are sent from Tableau to the analytics model. Be sure to use aggregation functions (SUM, AVG, etc.) to aggregate the results.
When using the function, the data types and order of the expressions must match that of the input arguments.
Example
MODEL_EXTENSION_BOOL ("isProfitable","inputSales", "inputCosts", SUM([Sales]), SUM([Costs]))
MODEL_EXTENSION_INT (model_name, arguments, expression)
Returns an integer result of an expression as calculated by a named model deployed on a TabPy external service.
Model_name is the name of the deployed analytics model you want to use.
Each argument is a single string that sets the input values that the deployed model accepts, and is defined by the analytics model.
Use expressions to define the values that are sent from Tableau to the analytics model. Be sure to use aggregation functions (SUM, AVG, etc.) to aggregate the results.
When using the function, the data types and order of the expressions must match that of the input arguments.
Example
MODEL_EXTENSION_INT ("getPopulation", "inputCity", "inputState", MAX([City]), MAX ([State]))
MODEL_EXTENSION_REAL (model_name, arguments, expression)
Returns a real result of an expression as calculated by a named model deployed on a TabPy external service.
Model_name is the name of the deployed analytics model you want to use.
Each argument is a single string that sets the input values that the deployed model accepts, and is defined by the analytics model.
Use expressions to define the values that are sent from Tableau to the analytics model. Be sure to use aggregation functions (SUM, AVG, etc.) to aggregate the results.
When using the function, the data types and order of the expressions must match that of the input arguments.
Example
MODEL_EXTENSION_REAL ("profitRatio", "inputSales", "inputCosts", SUM([Sales]), SUM([Costs]))
MODEL_EXTENSION_STRING (model_name, arguments, expression)
Returns the string result of an expression as calculated by a named model deployed on a TabPy external service.
Model_name is the name of the deployed analytics model you want to use.
Each argument is a single string that sets the input values that the deployed model accepts, and is defined by the analytics model.
Use expressions to define the values that are sent from Tableau to the analytics model. Be sure to use aggregation functions (SUM, AVG, etc.) to aggregate the results.
When using the function, the data types and order of the expressions must match that of the input arguments.
Example
MODEL_EXTENSION_STR ("mostPopulatedCity", "inputCountry", "inputYear", MAX ([Country]), MAX([Year]))
MODEL_PERCENTILE(target_expression, predictor_expression(s))
Returns the probability (between 0 and 1) of the expected value being less than or equal to the observed mark, defined by the target expression and other predictors. This is the Posterior Predictive Distribution Function, also known as the Cumulative Distribution Function (CDF).
This function is the inverse of MODEL_QUANTILE. For information on predictive modeling functions, see How Predictive Modeling Functions Work in Tableau.
Example
The following formula returns the quantile of the mark for sum of sales, adjusted for count of orders.
MODEL_PERCENTILE(SUM([Sales]), COUNT([Orders]))
MODEL_QUANTILE(quantile, target_expression, predictor_expression(s))
Returns a target numeric value within the probable range defined by the target expression and other predictors, at a specified quantile. This is the Posterior Predictive Quantile.
This function is the inverse of MODEL_PERCENTILE. For information on predictive modeling functions, see How Predictive Modeling Functions Work in Tableau.
Example
The following formula returns the median (0.5) predicted sum of sales, adjusted for count of orders.
MODEL_QUANTILE(0.5, SUM([Sales]), COUNT([Orders]))
PREVIOUS_VALUE(expression)
Returns the value of this calculation in the previous row. Returns the given expression if the current row is the first row of the partition.
Example
SUM([Profit]) * PREVIOUS_VALUE(1)
computes the running product of SUM(Profit).
RANK(expression, ['asc'  'desc'])
Returns the standard competition rank for the current row in the partition. Identical values are assigned an identical rank. Use the optional 'asc'  'desc'
argument to specify ascending or descending order. The default is descending.
With this function, the set of values (6, 9, 9, 14) would be ranked (4, 2, 2, 1).
Nulls are ignored in ranking functions. They are not numbered and they do not count against the total number of records in percentile rank calculations.
For information on different ranking options, see Rank calculation.
Example
The following image shows the effect of the various ranking functions (RANK, RANK_DENSE, RANK_MODIFIED, RANK_PERCENTILE, and RANK_UNIQUE) on a set of values. The data set contains information on 14 students (StudentA through StudentN); the Age column shows the current age of each student (all students are between 17 and 20 years of age). The remaining columns show the effect of each rank function on the set of age values, always assuming the default order (ascending or descending) for the function.
RANK_DENSE(expression, ['asc'  'desc'])
Returns the dense rank for the current row in the partition. Identical values are assigned an identical rank, but no gaps are inserted into the number sequence. Use the optional 'asc'  'desc'
argument to specify ascending or descending order. The default is descending.
With this function, the set of values (6, 9, 9, 14) would be ranked (3, 2, 2, 1).
Nulls are ignored in ranking functions. They are not numbered and they do not count against the total number of records in percentile rank calculations.
For information on different ranking options, see Rank calculation.
RANK_MODIFIED(expression, ['asc'  'desc'])
Returns the modified competition rank for the current row in the partition. Identical values are assigned an identical rank. Use the optional 'asc'  'desc'
argument to specify ascending or descending order. The default is descending.
With this function, the set of values (6, 9, 9, 14) would be ranked (4, 3, 3, 1).
Nulls are ignored in ranking functions. They are not numbered and they do not count against the total number of records in percentile rank calculations.
For information on different ranking options, see Rank calculation.
RANK_PERCENTILE(expression, ['asc'  'desc'])
Returns the percentile rank for the current row in the partition. Use the optional 'asc'  'desc'
argument to specify ascending or descending order. The default is ascending.
With this function, the set of values (6, 9, 9, 14) would be ranked (0.00, 0.67, 0.67, 1.00).
Nulls are ignored in ranking functions. They are not numbered and they do not count against the total number of records in percentile rank calculations.
For information on different ranking options, see Rank calculation.
RANK_UNIQUE(expression, ['asc'  'desc'])
Returns the unique rank for the current row in the partition. Identical values are assigned different ranks. Use the optional 'asc'  'desc'
argument to specify ascending or descending order. The default is descending.
With this function, the set of values (6, 9, 9, 14) would be ranked (4, 2, 3, 1).
Nulls are ignored in ranking functions. They are not numbered and they do not count against the total number of records in percentile rank calculations.
For information on different ranking options, see Rank calculation.
RUNNING_AVG(expression)
Returns the running average of the given expression, from the first row in the partition to the current row.
The view below shows quarterly
sales. When RUNNING_AVG(SUM([Sales])
is computed within the Date
partition, the result is a running average of the sales values for
each quarter.
Example
RUNNING_AVG(SUM([Profit]))
computes the running average of SUM(Profit).
RUNNING_COUNT(expression)
Returns the running count of the given expression, from the first row in the partition to the current row.
Example
RUNNING_COUNT(SUM([Profit]))
computes the running count of SUM(Profit).
RUNNING_MAX(expression)
Returns the running maximum of the given expression, from the first row in the partition to the current row.
Example
RUNNING_MAX(SUM([Profit]))
computes the running maximum of SUM(Profit).
RUNNING_MIN(expression)
Returns the running minimum of the given expression, from the first row in the partition to the current row.
Example
RUNNING_MIN(SUM([Profit]))
computes the running minimum of SUM(Profit).
RUNNING_SUM(expression)
Returns the running sum of the given expression, from the first row in the partition to the current row.
Example
RUNNING_SUM(SUM([Profit]))
computes the running sum of SUM(Profit)
SIZE()
Returns the number of rows in the partition. For example, the view below shows quarterly sales. Within the Date partition, there are seven rows so the Size() of the Date partition is 7.
Example
SIZE() = 5
when the current partition contains five rows.
SCRIPT_BOOL
Returns a Boolean result from the specified expression. The expression is passed directly to a running analytics extension service instance.
In R expressions, use .argn (with a leading period) to reference parameters (.arg1, .arg2, etc.).
In Python expressions, use _argn (with a leading underscore).
Examples
In this R example, .arg1 is equal to SUM([Profit]):
SCRIPT_BOOL("is.finite(.arg1)", SUM([Profit]))
The next example returns True for store IDs in Washington state, and False otherwise. This example could be the definition for a calculated field titled IsStoreInWA.
SCRIPT_BOOL('grepl(".*_WA", .arg1, perl=TRUE)',ATTR([Store ID]))
A command for Python would take this form:
SCRIPT_BOOL("return map(lambda x : x > 0, _arg1)", SUM([Profit]))
SCRIPT_INT
Returns an integer result from the specified expression. The expression is passed directly to a running analytics extension service instance.
In R expressions, use .argn (with a leading period) to reference parameters (.arg1, .arg2, etc.)
In Python expressions, use _argn (with a leading underscore).
Examples
In this R example, .arg1 is equal to SUM([Profit]):
SCRIPT_INT("is.finite(.arg1)", SUM([Profit]))
In the next example, kmeans clustering is used to create three clusters:
SCRIPT_INT('result < kmeans(data.frame(.arg1,.arg2,.arg3,.arg4), 3);result$cluster;', SUM([Petal length]), SUM([Petal width]),SUM([Sepal length]),SUM([Sepal width]))
A command for Python would take this form:
SCRIPT_INT("return map(lambda x : int(x * 5), _arg1)", SUM([Profit]))
SCRIPT_REAL
Returns a real result from the specified expression. The expression is passed directly to a running analytics extension service instance. In
R expressions, use .argn (with a leading period) to reference parameters (.arg1, .arg2, etc.)
In Python expressions, use _argn (with a leading underscore).
Examples
In this R example, .arg1 is equal to SUM([Profit]):
SCRIPT_REAL("is.finite(.arg1)", SUM([Profit]))
The next example converts temperature values from Celsius to Fahrenheit.
SCRIPT_REAL('library(udunits2);ud.convert(.arg1, "celsius", "degree_fahrenheit")',AVG([Temperature]))
A command for Python would take this form:
SCRIPT_REAL("return map(lambda x : x * 0.5, _arg1)", SUM([Profit]))
SCRIPT_STR
Returns a string result from the specified expression. The expression is passed directly to a running analytics extension service instance.
In R expressions, use .argn (with a leading period) to reference parameters (.arg1, .arg2, etc.)
In Python expressions, use _argn (with a leading underscore).
Examples
In this R example, .arg1 is equal to SUM([Profit]):
SCRIPT_STR("is.finite(.arg1)", SUM([Profit]))
The next example extracts a state abbreviation from a more complicated string (in the original form 13XSL_CA, A13_WA):
SCRIPT_STR('gsub(".*_", "", .arg1)',ATTR([Store ID]))
A command for Python would take this form:
SCRIPT_STR("return map(lambda x : x[:2], _arg1)", ATTR([Region]))
TOTAL(expression)
Returns the total for the given expression in a table calculation partition.
Example
Assume you are starting with this view:
You open the calculation editor and create a new field which you name Totality:
You then drop Totality on Text, to replace SUM(Sales). Your view changes such that it sums values based on the default Compute Using value:
This raises the question, What is the default Compute Using value? If you rightclick (Controlclick on a Mac) Totality in the Data pane and choose Edit, there is now an additional bit of information available:
The default Compute Using value is Table (Across). The result is that Totality is summing the values across each row of your table. Thus, the value that you see across each row is the sum of the values from the original version of the table.
The values in the 2011/Q1 row in the original table were $8601, $6579, $44262, and $15006. The values in the table after Totality replaces SUM(Sales) are all $74,448, which is the sum of the four original values.
Notice the triangle next to Totality after you drop it on Text:
This indicates that this field is using a table calculation. You can rightclick the field and choose Edit Table Calculation to redirect your function to a different Compute Using value. For example, you could set it to Table (Down). In that case, your table would look like this:
WINDOW_AVG(expression, [start, end])
Returns the average of the expression within the window. The window is defined by means of offsets from the current row. Use FIRST()+n and LAST()n for offsets from the first or last row in the partition. If the start and end are omitted, the entire partition is used.
For example, the view below shows quarterly sales. A window average within the Date partition returns the average sales across all dates.
Example
WINDOW_AVG(SUM([Profit]), FIRST()+1, 0)
computes the average of
SUM(Profit) from the second row to the current row.
WINDOW_CORR(expression1, expression2, [start, end])
Returns the Pearson correlation coefficient of two expressions within the window. The window is defined as offsets from the current row. Use FIRST()+n and LAST()n for offsets from the first or last row in the partition. If start and end are omitted, the entire partition is used.
The Pearson correlation measures the linear relationship between two variables. Results range from 1 to +1 inclusive, where 1 denotes an exact positive linear relationship, as when a positive change in one variable implies a positive change of corresponding magnitude in the other, 0 denotes no linear relationship between the variance, and −1 is an exact negative relationship.
There is an equivalent aggregation fuction: CORR. See Tableau Functions (Alphabetical)(Link opens in a new window).
Example
The following formula returns the Pearson correlation of SUM(Profit) and SUM(Sales) from the five previous rows to the current row.
WINDOW_CORR(SUM[Profit]), SUM([Sales]), 5, 0)
WINDOW_COUNT(expression, [start, end])
Returns the count of the expression within the window. The window is defined by means of offsets from the current row. Use FIRST()+n and LAST()n for offsets from the first or last row in the partition. If the start and end are omitted, the entire partition is used.
Example
WINDOW_COUNT(SUM([Profit]), FIRST()+1, 0)
computes the count of SUM(Profit)
from the second row to the current row
WINDOW_COVAR(expression1, expression2, [start, end])
Returns the sample covariance of two expressions within the window. The window is defined as offsets from the current row. Use FIRST()+n and LAST()n for offsets from the first or last row in the partition. If the start and end arguments are omitted, the window is the entire partition.
Sample covariance uses the number of nonnull data points n  1 to normalize the covariance calculation, rather than n, which is used by the population covariance (with the WINDOW_COVARP function). Sample covariance is the appropriate choice when the data is a random sample that is being used to estimate the covariance for a larger population.
There is an equivalent aggregation fuction: COVAR. See Tableau Functions (Alphabetical)(Link opens in a new window).
Example
The following formula returns the sample covariance of SUM(Profit) and SUM(Sales) from the two previous rows to the current row.
WINDOW_COVAR(SUM([Profit]), SUM([Sales]), 2, 0)
WINDOW_COVARP(expression1, expression2, [start, end])
Returns the population covariance of two expressions within the window. The window is defined as offsets from the current row. Use FIRST()+n and LAST()n for offsets from the first or last row in the partition. If start and end are omitted, the entire partition is used.
Population covariance is sample covariance multiplied by (n1)/n, where n is the total number of nonnull data points. Population covariance is the appropriate choice when there is data available for all items of interest as opposed to when there is only a random subset of items, in which case sample covariance (with the WINDOW_COVAR function) is appropriate.
There is an equivalent aggregation fuction: COVARP. Tableau Functions (Alphabetical)(Link opens in a new window).
Example
The following formula returns the population covariance of SUM(Profit) and SUM(Sales) from the two previous rows to the current row.
WINDOW_COVARP(SUM([Profit]), SUM([Sales]), 2, 0)
WINDOW_MEDIAN(expression, [start, end])
Returns the median of the expression within the window. The window is defined by means of offsets from the current row. Use FIRST()+n and LAST()n for offsets from the first or last row in the partition. If the start and end are omitted, the entire partition is used.
For example, the view below shows quarterly profit. A window median within the Date partition returns the median profit across all dates.
Example
WINDOW_MEDIAN(SUM([Profit]), FIRST()+1, 0)
computes the median
of SUM(Profit) from the second row to the current row.
WINDOW_MAX(expression, [start, end])
Returns the maximum of the expression within the window. The window is defined by means of offsets from the current row. Use FIRST()+n and LAST()n for offsets from the first or last row in the partition. If the start and end are omitted, the entire partition is used.
For example, the view below shows quarterly sales. A window maximum within the Date partition returns the maximum sales across all dates.
Example
WINDOW_MAX(SUM([Profit]), FIRST()+1, 0)
computes the maximum of
SUM(Profit) from the second row to the current row.
WINDOW_MIN(expression, [start, end])
Returns the minimum of the expression within the window. The window is defined by means of offsets from the current row. Use FIRST()+n and LAST()n for offsets from the first or last row in the partition. If the start and end are omitted, the entire partition is used.
For example, the view below shows quarterly sales. A window minimum within the Date partition returns the minimum sales across all dates.
Example
WINDOW_MIN(SUM([Profit]), FIRST()+1, 0)
computes the minimum of
SUM(Profit) from the second row to the current row.
WINDOW_PERCENTILE(expression, number, [start, end])
Returns the value corresponding to the specified percentile within the window. The window is defined by means of offsets from the current row. Use FIRST()+n and LAST()n for offsets from the first or last row in the partition. If the start and end are omitted, the entire partition is used.
Example
WINDOW_PERCENTILE(SUM([Profit]), 0.75, 2, 0)
returns the 75th percentile for SUM(Profit) from the two previous rows to the current row.
WINDOW_STDEV(expression, [start, end])
Returns the sample standard deviation of the expression within the window. The window is defined by means of offsets from the current row. Use FIRST()+n and LAST()n for offsets from the first or last row in the partition. If the start and end are omitted, the entire partition is used.
Example
WINDOW_STDEV(SUM([Profit]), FIRST()+1, 0)
computes the standard deviation of SUM(Profit)
from the second row to the current row.
WINDOW_STDEVP(expression, [start, end])
Returns the biased standard deviation of the expression within the window. The window is defined by means of offsets from the current row. Use FIRST()+n and LAST()n for offsets from the first or last row in the partition. If the start and end are omitted, the entire partition is used.
Example
WINDOW_STDEVP(SUM([Profit]), FIRST()+1, 0)
computes the standard deviation of SUM(Profit)
from the second row to the current row.
WINDOW_SUM(expression, [start, end])
Returns the sum of the expression within the window. The window is defined by means of offsets from the current row. Use FIRST()+n and LAST()n for offsets from the first or last row in the partition. If the start and end are omitted, the entire partition is used.
For example, the view below shows quarterly sales. A window sum computed within the Date partition returns the summation of sales across all quarters.
Example
WINDOW_SUM(SUM([Profit]), FIRST()+1, 0)
computes the sum of SUM(Profit) from the second row to
the current row.
WINDOW_VAR(expression, [start, end])
Returns the sample variance of the expression within the window. The window is defined by means of offsets from the current row. Use FIRST()+n and LAST()n for offsets from the first or last row in the partition. If the start and end are omitted, the entire partition is used.
Example
WINDOW_VAR((SUM([Profit])), FIRST()+1, 0)
computes the variance of SUM(Profit)
from the second row to the current row.
WINDOW_VARP(expression, [start, end])
Returns the biased variance of the expression within the window. The window is defined by means of offsets from the current row. Use FIRST()+n and LAST()n for offsets from the first or last row in the partition. If the start and end are omitted, the entire partition is used.
Example
WINDOW_VARP(SUM([Profit]), FIRST()+1, 0)
computes the variance of SUM(Profit)
from the second row to the current row.
These RAWSQL passthrough functions can be used to send SQL expressions directly to the database, without first being interpreted by Tableau. If you have custom database functions that Tableau doesn’t know about, you can use these passthrough functions to call these custom functions.
Your database usually will not understand the field names that are shown in Tableau. Because Tableau does not interpret the SQL expressions you include in the passthrough functions, using the Tableau field names in your expression may cause errors. You can use a substitution syntax to insert the correct field name or expression for a Tableau calculation into passthrough SQL. For example, if you had a function that computed the median of a set of values, you could call that function on the Tableau column [Sales] like this:
RAWSQLAGG_REAL(“MEDIAN(%1)”, [Sales])
Because Tableau does not interpret the expression, you must define the aggregation. You can use the RAWSQLAGG functions described below when you are using aggregated expressions.
RAWSQL passthrough functions may not work with extracts or published data sources if they contain relationships.
RAWSQL Functions
The following RAWSQL functions are available in Tableau.
RAWSQL_BOOL(“sql_expr”, [arg1], …[argN])
Returns a Boolean result from a given SQL expression. The SQL expression is passed directly to the underlying database. Use %n in the SQL expression as a substitution syntax for database values.
Example
In the example, %1 is equal to [Sales] and %2 is equal to [Profit].
RAWSQL_BOOL(“IIF( %1 > %2, True, False)”, [Sales], [Profit])
RAWSQL_DATE(“sql_expr”, [arg1], …[argN])
Returns a Date result from a given SQL expression. The SQL expression is passed directly to the underlying database. Use %n in the SQL expression as a substitution syntax for database values.
Example
In this example, %1 is equal to [Order Date].
RAWSQL_DATE(“%1”, [Order
Date])
RAWSQL_DATETIME(“sql_expr”, [arg1], …[argN])
Returns a Date and Time result from a given SQL expression. The SQL expression is passed directly to the underlying database. Use %n in the SQL expression as a substitution syntax for database values. In this example, %1 is equal to [Delivery Date].
Example
RAWSQL_DATETIME(“MIN(%1)”, [Delivery Date])
RAWSQL_INT(“sql_expr”, [arg1], …[argN])
Returns an integer result from a given SQL expression. The SQL expression is passed directly to the underlying database. Use %n in the SQL expression as a substitution syntax for database values. In this example, %1 is equal to [Sales].
Example
RAWSQL_INT(“500
+ %1”, [Sales])
RAWSQL_REAL(“sql_expr”, [arg1], …[argN])
Returns a numeric result from a given SQL expression that is passed directly to the underlying database. Use %n in the SQL expression as a substitution syntax for database values. In this example, %1 is equal to [Sales]
Example
RAWSQL_REAL(“123.98 * %1”, [Sales])
RAWSQL_SPATIAL
Returns a Spatial from a given SQL expression that is passed directly to the underlying data source. Use %n in the SQL expression as a substitution syntax for database values.
Example
In this example, %1 is equal to [Geometry].
RAWSQL_SPATIAL("%1", [Geometry])
RAWSQL_STR(“sql_expr”, [arg1], …[argN])
Returns a string from a given SQL expression that is passed directly to the underlying database. Use %n in the SQL expression as a substitution syntax for database values. In this example, %1 is equal to [Customer Name].
Example
RAWSQL_STR(“%1”, [Customer Name])
RAWSQLAGG_BOOL(“sql_expr”, [arg1], …[argN])
Returns a Boolean result from a given aggregate SQL expression. The SQL expression is passed directly to the underlying database. Use %n in the SQL expression as a substitution syntax for database values.
Example
In the example, %1 is equal to [Sales] and %2 is equal to [Profit].
RAWSQLAGG_BOOL(“SUM( %1) >SUM( %2)”, [Sales], [Profit])
RAWSQLAGG_DATE(“sql_expr”, [arg1], …[argN])
Returns a Date result from a given aggregate SQL expression. The SQL expression is passed directly to the underlying database. Use %n in the SQL expression as a substitution syntax for database values. In this example, %1 is equal to [Order Date].
Example
RAWSQLAGG_DATE(“MAX(%1)”,
[Order Date])
RAWSQLAGG_DATETIME(“sql_expr”, [arg1], …[argN])
Returns a Date and Time result from a given aggregate SQL expression. The SQL expression is passed directly to the underlying database. Use %n in the SQL expression as a substitution syntax for database values. In this example, %1 is equal to [Delivery Date].
Example
RAWSQLAGG_DATETIME(“MIN(%1)”, [Delivery Date])
RAWSQLAGG_INT(“sql_expr”, [arg1,] …[argN])
Returns an integer result from a given aggregate SQL expression. The SQL expression is passed directly to the underlying database. Use %n in the SQL expression as a substitution syntax for database values. In this example, %1 is equal to [Sales].
Example
RAWSQLAGG_INT(“500
+ SUM(%1)”, [Sales])
RAWSQLAGG_REAL(“sql_expr”, [arg1,] …[argN])
Returns a numeric result from a given aggregate SQL expression that is passed directly to the underlying database. Use %n in the SQL expression as a substitution syntax for database values. In this example, %1 is equal to [Sales]
Example
RAWSQLAGG_REAL(“SUM( %1)”, [Sales])
RAWSQLAGG_STR(“sql_expr”, [arg1,] …[argN])
Returns a string from a given aggregate SQL expression that is passed directly to the underlying database. Use %n in the SQL expression as a substitution syntax for database values. In this example, %1 is equal to [Discount].
Example
RAWSQLAGG_STR(“AVG(%1)”,
[Discount])
Spatial functions allow you to perform advanced spatial analysis and combine spatial files with data in other formats like text files or spreadsheets.
AREA
Syntax  AREA(Spatial Polygon, 'units')

Output  Number 
Definition  Returns the total surface area of a <spatial polygon> . 
Example  AREA([Geometry], 'feet') 
Notes 
Supported unit names (must be in quotation marks in the calculation, such as

BUFFER
Syntax  BUFFER(Spatial Point, distance, 'units')

Output  Geometry 
Definition 
For spatial points, returns a polygon shape centered over a For linestrings, computes the polygons formed by including all points within the radius distance from the linestring. 
Example  BUFFER([Spatial Point Geometry], 25, 'mi') BUFFER(MAKEPOINT(47.59, 122.32), 3, 'km') BUFFER(MAKELINE(MAKEPOINT(0, 20),MAKEPOINT (30, 30)),20,'km')) 
Notes 
Supported unit names (must be in quotation marks in the calculation, such as

DISTANCE
Syntax  DISTANCE(SpatialPoint1, SpatialPoint2, 'units')

Output  Number 
Definition  Returns the distance measurement between two points in the specified <unit> . 
Example  DISTANCE([Origin Point],[Destination Point], 'km') 
Notes 
Supported unit names (must be in quotation marks in the calculation, such as

Database limitations  This function can only be created with a live connection but will continue to work if the data source is converted to an extract. 
INTERSECTS
Syntax  INTERSECTS (geometry1, geometry2)

Output  Boolean 
Definition  Returns true or false indicating if two geometries overlap in space. 
Notes  Supported combinations: point/polygon, line/polygon, and polygon/polygon. 
MAKELINE
Syntax  MAKELINE(SpatialPoint1, SpatialPoint2)

Output  Geometry (line) 
Definition  Generates a line mark between two points 
Example  MAKELINE(MAKEPOINT(47.59, 122.32), MAKEPOINT(48.5, 123.1)) 
Notes  Useful for building origindestination maps. 
MAKEPOINT
Syntax  MAKEPOINT(latitude, longitude, [SRID])

Output  Geometry (point) 
Definition 
Converts data from If the optional 
Example  MAKEPOINT(48.5, 123.1) MAKEPOINT([AirportLatitude], [AirportLongitude]) MAKEPOINT([Xcoord],[Ycoord], 3493) 
Notes 
You can use 
LENGTH
Syntax  LENGTH(geometry, 'units')

Output  Number 
Definition  Returns the geodetic path length of the line string or strings in the <geometry> using the given <units> . 
Example  LENGTH([Spatial], 'metres') 
Notes  The result is <NaN> if the geometry argument has no linestrings, though other elements are permitted. 
OUTLINE
Syntax  OUTLINE(spatial polygon)

Output  Geometry 
Definition  Converts a polygon geometry into linestrings. 
Notes 
Useful for creating a separate layer for an outline that can be styled differently than the fill. Supports polygons within multipolygons. 
SHAPETYPE
Syntax  SHAPETYPE(geometry)

Output  String 
Definition  Returns a string describing the structure of the spatial <geometry> , such as Empty, Point, MultiPoint, LineString, MultiLinestring, Polygon, MultiPolygon, Mixed, and unsupported 
Example  SHAPETYPE(MAKEPOINT(48.5, 123.1)) = "Point" 
Regular Expressions
REGEXP_REPLACE(string, pattern, replacement)
Returns a copy of the given string where the regular expression pattern is replaced by the replacement string. This function is available for Text File, Hadoop Hive, Google BigQuery, PostgreSQL, Tableau Data Extract, Microsoft Excel, Salesforce, Vertica, Pivotal Greenplum, Teradata (version 14.1 and above), Snowflake, and Oracle data sources.
For Tableau data extracts, the pattern and the replacement must be constants.
For information on regular expression syntax, see your data source's documentation. For Tableau extracts, regular expression syntax conforms to the standards of the ICU (International Components for Unicode), an open source project of mature C/C++ and Java libraries for Unicode support, software internationalization, and software globalization. See the Regular Expressions(Link opens in a new window) page in the online ICU User Guide.
Example
REGEXP_REPLACE('abc 123', '\s', '') = 'abc123'
REGEXP_MATCH(string, pattern)
Returns true if a substring of the specified string matches the regular expression pattern. This function is available for Text File, Google BigQuery, PostgreSQL, Tableau Data Extract, Microsoft Excel, Salesforce, Vertica, Pivotal Greenplum, Teradata (version 14.1 and above), Impala 2.3.0 (through Cloudera Hadoop data sources), Snowflake, and Oracle data sources.
For Tableau data extracts, the pattern must be a constant.
For information on regular expression syntax, see your data source's documentation. For Tableau extracts, regular expression syntax conforms to the standards of the ICU (International Components for Unicode), an open source project of mature C/C++ and Java libraries for Unicode support, software internationalization, and software globalization. See the Regular Expressions(Link opens in a new window) page in the online ICU User Guide.
Example
REGEXP_MATCH('([1234].[The.Market])','\[\s*(\w*\.)(\w*\s*\])')=true
REGEXP_EXTRACT(string, pattern)
Returns the portion of the string that matches the regular expression pattern. This function is available for Text File, Hadoop Hive, Google BigQuery, PostgreSQL, Tableau Data Extract, Microsoft Excel, Salesforce, Vertica, Pivotal Greenplum, Teradata (version 14.1 and above), Snowflake, and Oracle data sources.
For Tableau data extracts, the pattern must be a constant.
For information on regular expression syntax, see your data source's documentation. For Tableau extracts, regular expression syntax conforms to the standards of the ICU (International Components for Unicode), an open source project of mature C/C++ and Java libraries for Unicode support, software internationalization, and software globalization. See the Regular Expressions(Link opens in a new window) page in the online ICU User Guide.
Example
REGEXP_EXTRACT('abc 123', '[az]+\s+(\d+)') = '123'
REGEXP_EXTRACT_NTH(string, pattern, index)
Returns the portion of the string that matches the regular expression pattern. The substring is matched to the nth capturing group, where n is the given index. If index is 0, the entire string is returned. This function is available for Text File, PostgreSQL, Tableau Data Extract, Microsoft Excel, Salesforce, Vertica, Pivotal Greenplum, Teradata (version 14.1 and above), and Oracle data sources.
For Tableau data extracts, the pattern must be a constant.
For information on regular expression syntax, see your data source's documentation. For Tableau extracts, regular expression syntax conforms to the standards of the ICU (International Components for Unicode), an open source project of mature C/C++ and Java libraries for Unicode support, software internationalization, and software globalization. See the Regular Expressions(Link opens in a new window) page in the online ICU User Guide.
Example
REGEXP_EXTRACT_NTH('abc 123', '([az]+)\s+(\d+)', 2) = '123'
Hadoop Hive Specific Functions
Note: Only the PARSE_URL and PARSE_URL_QUERY functions are available for Cloudera Impala data sources.
GET_JSON_OBJECT(JSON string, JSON path)
Returns the JSON object within the JSON string based on the JSON path.
PARSE_URL(string, url_part)
Returns a component of the given URL string where the component is defined by url_part. Valid url_part values include: 'HOST', 'PATH', 'QUERY', 'REF', 'PROTOCOL', 'AUTHORITY', 'FILE' and 'USERINFO'.
Example
PARSE_URL('http://www.tableau.com', 'HOST') = 'www.tableau.com'
PARSE_URL_QUERY(string, key)
Returns the value of the specified query parameter in the given URL string. The query parameter is defined by the key.
Example
PARSE_URL_QUERY('http://www.tableau.com?page=1&cat=4', 'page') = '1'
XPATH_BOOLEAN(XML string, XPath expression string)
Returns true if the XPath expression matches a node or evaluates to true.
Example
XPATH_BOOLEAN('<values> <value id="0">1</value><value id="1">5</value>', 'values/value[@id="1"] = 5') = true
XPATH_DOUBLE(XML string, XPath expression string)
Returns the floatingpoint value of the XPath expression.
Example
XPATH_DOUBLE('<values><value>1.0</value><value>5.5</value> </values>', 'sum(value/*)') = 6.5
XPATH_FLOAT(XML string, XPath expression string)
Returns the floatingpoint value of the XPath expression.
Example
XPATH_FLOAT('<values><value>1.0</value><value>5.5</value> </values>','sum(value/*)') = 6.5
XPATH_INT(XML string, XPath expression string)
Returns the numerical value of the XPath expression, or zero if the XPath expression cannot evaluate to a number.
Example
XPATH_INT('<values><value>1</value><value>5</value> </values>','sum(value/*)') = 6
XPATH_LONG(XML string, XPath expression string)
Returns the numerical value of the XPath expression, or zero if the XPath expression cannot evaluate to a number.
Example
XPATH_LONG('<values><value>1</value><value>5</value> </values>','sum(value/*)') = 6
XPATH_SHORT(XML string, XPath expression string)
Returns the numerical value of the XPath expression, or zero if the XPath expression cannot evaluate to a number.
Example
XPATH_SHORT('<values><value>1</value><value>5</value> </values>','sum(value/*)') = 6
XPATH_STRING(XML string, XPath expression string)
Returns the text of the first matching node.
Example
XPATH_STRING('<sites ><url domain="org">http://www.w3.org</url> <url domain="com">http://www.tableau.com</url></sites>', 'sites/url[@domain="com"]') = 'http://www.tableau.com'
Google BigQuery Specific Functions
DOMAIN(string_url)
Given a URL string, returns the domain as a string.
Example
DOMAIN('http://www.google.com:80/index.html') = 'google.com'
GROUP_CONCAT(expression)
Concatenates values from each record into a single commadelimited string. This function acts like a SUM() for strings.
Example
GROUP_CONCAT(Region) = "Central,East,West"
HOST(string_url)
Given a URL string, returns the host name as a string.
Example
HOST('http://www.google.com:80/index.html') = 'www.google.com:80'
LOG2(number)
Returns the logarithm base 2 of a number.
Example
LOG2(16) = '4.00'
LTRIM_THIS(string, string)
Returns the first string with any leading occurrence of the second string removed.
Example
LTRIM_THIS('[Sales]','[') = 'Sales]'
RTRIM_THIS(string, string)
Returns the first string with any trailing occurrence of the second string removed.
Example
RTRIM_THIS('[Market]',']') = '[Market'
TIMESTAMP_TO_USEC(expression)
Converts a TIMESTAMP data type to a UNIX timestamp in microseconds.
Example
TIMESTAMP_TO_USEC(#20121001 01:02:03#)=1349053323000000
USEC_TO_TIMESTAMP(expression)
Converts a UNIX timestamp in microsseconds to a TIMESTAMP data type.
Example
USEC_TO_TIMESTAMP(1349053323000000) = #20121001 01:02:03#
TLD(string_url)
Given a URL string, returns the top level domain plus any country/region domain in the URL.
Example
TLD('http://www.google.com:80/index.html') = '.com'
TLD('http://www.google.co.uk:80/index.html') = '.co.uk'
Want to learn more about functions?
Read the functions topics(Link opens in a new window).
See also
Tableau Functions (Alphabetical)(Link opens in a new window)