Beast Mode Functions Reference Guide

APPROXIMATE COUNT (DISTINCT)

Returns the approximate count of a number of unique values in a column.

APPROXIMATE_COUNT_DISTINCT(`Customers`)

AVG

Returns the average value for each series in a column.

AVG(`Operating Budget`)

CEILING

Returns the highest value for each series in a column.

This function differs from the MAX function in that CEILING is rounded whereas MAX is not rounded.

CEILING(`Operating Budget`)

COUNT

Returns the number of row values in a column.

COUNT(`Customers`)

COUNT (DISTINCT)

Returns the count of a number of unique values in a column.

COUNT(DISTINCT `Customers`)

FLOOR

Returns the lowest value for each series in a numeric column.

This function differs from the MIN function in that FLOOR is rounded whereas MIN is not.

FLOOR(`Operating Budget`)

MAX

Returns the highest value for each series in a numeric column.

This function differs from the CEILING function in that MAX is not rounded whereas CEILING is rounded.

MAX(`Operating Budget`)

MIN

Returns the lowest value for each series in a numeric column.

This function differs from the FLOOR function in that MIN is not rounded whereas FLOOR is rounded.

MIN(`Operating Budget`)

STDDEV_POP

Returns the population standard deviation for each series in a numeric column.

STDDEV_POP(`Values`)

SUM

Returns the sum of each series in a numeric column.

SUM(`Values`)

SUM (DISTINCT)

Returns the sum of unique values in a numeric column.

SUM(DISTINCT `Values`)

VAR_POP

Returns the population standard variance for each series in a numeric column.

VAR_POP(`Values`)

ABS

Returns the absolute value for all values in a numeric column.

In other words, any negative values become positive, and positive values stay the same. This is valuable when you want to see aggregation without considering positive and negative values.

ABS(`Operating Budget`)

MOD

Returns the remainder of each value in a numeric column divided by some specified number (dividend).

MOD(`Values`,2)

POWER

Returns each value in a numeric column raised to a given power. If the column contains multiple series, the values are summed for each series.

POWER(`Values`,2)

RAND

Returns random values between 0 and 1.

RAND(`Values`)

ROUND

Returns values in a numeric column rounded to the nearest specified decimal place.

If you do not include a decimal place value in the function, returned values are rounded to the nearest whole number.

ROUND(`Values`,1)

CASE

Use to begin logical statements in which the value of data is replaced when certain criteria is reached (when...then or when...then, else). These statements use the following format:

CASE `Value` when x then 'resultx' else 'resulty' End

or
 

CASE when `Value`=x then 'resultx' else 'resulty' End

In other words, when the data in the "Value" column equals number x, value resultx is returned; otherwise value resulty is returned. (The value returned can be either a single-quoted string or a number.)

For multiple conditional statements, use the following format:

CASE when `Value`=x then 1 when `Value`=y then 2 end

Although valid, avoid using the following inefficient format:

CASE when `Value`=x then 1 else CASE when `Value`=y then 2 end end

IN Operator

In a CASE when clause, you can use the IN operator, which lets you specify multiple values to evaluate.

`column_name` IN (value1,value2,...)


CASE when `State` in ('NY', 'TX') then 0 else 1 end

LIKE Operator

In a CASE when clause, you can use the LIKE operator, which lets you search for a specified pattern in a column.

`column_name` LIKE pattern

CASE when `State` like '%TX%' or `State` like '%NY' then 0 else 1 end

You can use these wildcards with the LIKE operator:

• % to match any number of characters, even zero characters.
  like '%TX%'

• _ to match exactly one character.
  like '_hn%'

Values for the LIKE operator are matched in order of the WHEN statements. For example, if a value in the data matches the first and fourth LIKE operators, it is applied to the first operation. 

CASE when `Amount`=1 then 10 else 0 End

CASE `Gender`
when 'M' then 'Male'
when 'F' then 'Female'
end​

CASE when `Pennies` >= 600 then 'Large'
when `Pennies` <= 300 then 'Small'
else `Pennies`
end​

IFNULL

Used in logical statements in which you want to specify a replacement for null values.

IFNULL(`Values`,0)

NULLIF

Returns null if the value in the first column equals the value in the second column; otherwise returns the value in the first column.

NULLIF(`Value 1`,`Value 2`)

CONCAT

Combines strings from two or more string columns.

CONCAT(`First Name`,' ',`Last Name`)

INSTR

Returns the position of the first instance of a specified string in a given column, starting from the first letter in the name.

In the example at right, the calculation would return the position of the first instance of the letter "e" in each string in the column.  

INSTR(`Group`,'e')

LEFT

Returns the specified number of characters in each string in the the given column, starting from the left. 

LEFT(`Group`,3)

LENGTH

Returns the number of characters in each string in the given column. 

LENGTH(`Group`)

LOWER

Converts strings from one or more string columns into lower-case.

LOWER(`Product Type`)

REPLACE

Replaces all of the specified strings in a given column with another specified string. 

REPLACE(`Department`,'Human Resnources','Human Resources')

RIGHT

Returns the specified number of characters in the given column, starting from the right. 

RIGHT(`Group`,3)

SUBSTRING

Extracts and returns a specified number of characters from the values in a string column.

You specify the characters to return by indicating the starting position and the length of characters. For example, specifying the position as 1 and the length as 3 would return the first, second, and third characters for values in the column.

SUBSTRING(`Employee Name`,1,3)

TRIM

Trims leading and trailing spaces for all values in string columns.

TRIM(`Employee Name`)

UPPER

Converts strings from one or more string columns into upper-case.

UPPER(`Customers`)

ADDDATE

Adds date or datetime values (as intervals) to date values in a date column.

You can specify the date or datetime values to add to date values in a date column by specifying the column, interval, expression, and unit, as in ADDDATE(`datecolumn`, interval expr unit) where datecolumn is the column containing a date value, where expr is the argument containing the date or datetime value to add, and where unit is the string value for the corresponding date or datetime unit type.

You can prefix the expression with a "-" to subtract the value. Specify the unit value (such as second, minute, hour, day, week, month, quarter, year). (The "interval" keyword and unit type values are case insensitive.) For more information, see Unit type values in Beast Mode.

For example, adding 12 days to January 4 would return January 16.

Same as DATE_ADD.

ADDDATE(`DateCol`, interval 12 day)

ADDTIME

Adds a specified number of seconds to all values in a time column. For example, adding 15 seconds to 8:05 would return 8:20.

ADDTIME(`Time`,25)

CURDATE

Returns the current date.

No column name is specified in this function.

Same as CURRENT_DATE.

CURDATE()

CURTIME

Returns the current time.

No column name is specified in this function.

Same as CURRENT_TIME.

CURTIME()

CURRENT_DATE

Returns the current date.

No column name is specified in this function.

Same as CURDATE.

CURRENT_DATE()

CURRENT_TIME

Returns the current time.

No column name is specified in this function.

Same as CURTIME.

CURRENT_TIME()

CURRENT_TIMESTAMP

Returns the value of current date and time in YYYY-MM-DD HH:MM:SS format.

No column name is specified in this function.

Same as NOW.

CURRENT_TIMESTAMP()

DATE

Extracts and returns the dates from datetime values.

DATE(`DateCol`)

DATEDIFF

Returns the number of days between two dates from datetime values.

DATEDIFF(CURRENT_DATE(), `lastmoddate`)

DATE_ADD

Adds date or datetime values (as intervals) to date values in a date column.

You can specify the date or datetime values to add to date values in a date column by specifying the column, interval, expression, and unit, as in DATE_ADD(`datecolumn`, interval expr unit) where datecolumn is the column containing a date value, where expr is the argument containing the date or datetime value to add, and where unit is the string value for the corresponding date or datetime unit type.

You can prefix the expression with a "-" to subtract the value. Specify the unit value (such as second, minute, hour, day, week, month, quarter, year). (The "interval" keyword and unit type values are case insensitive.) For more information, see Unit type values in Beast Mode.

For example, adding 12 days to January 4 would return January 16.

Same as ADDDATE.

DATE_ADD(`DateCol`, interval 12 day)

DATE_FORMAT

Formats dates in a date/time column into a specific format.

You can specify the format to use for a date or time column by specifying the column and the date or time string, as in DATE_FORMAT(`datecolumn`,'format') where datecolumn is the column containing a date value and where format is the string containing specifier characters to use in formatting the date value.

The "%" character is required before format specifier characters.

For example, using DATE_FORMAT(`MyDate`,'%Y-%m-%d %h:%i %p'), the date in the MyDate date column uses this format: 2013-04-17 10:10 AM.

For information about specifier characters, see Date Format Specifier Characters in Beast Mode.

Similar to TIME_FORMAT.

DATE_FORMAT(`DateCol`,'%y')
DATE_FORMAT(`DateCol`,'%m/%d')
DATE_FORMAT(NOW(),'%d %b %Y %T')
DATE_FORMAT(STR_TO_DATE(`DateCol`, '%m,%d,%Y'), '%m/%d/%Y')
ADDDATE(DATE_FORMAT(`DateCol`, '%Y-%m-%d'), interval 12 day)
PERIOD_DIFF(DATE_FORMAT(CURDATE(), '%Y%m'), DATE_FORMAT(`DateCol`, '%Y%m'))

DATE_SUB

Subtracts date or datetime values (as intervals) to date values in a date column.

You can specify the date or datetime values to subtract from date values in a date column by specifying the column, interval, expression, and unit, as in DATE_SUB(`datecolumn`, interval expr unit) where datecolumn is the column containing a date value, where expr is the argument containing the date or datetime value to subtract, and where unit is the string value for the corresponding date or datetime unit type.

You can prefix the expression with a "-" to add the value. Specify the unit value (such as second, minute, hour, day, week, month, quarter, year). (The "interval" keyword and unit type values are case insensitive.) For more information, see Unit type values in Beast Mode.

For example, subtracting 12 days from January 24 would return January 12.

Same as SUBDATE.

DATE_SUB(`DateCol`, interval 12 day)

DAY

Returns the numerical day of the month for all values in a date/time column.

Same as DAYOFMONTH.

DAY(`DateCol`)

DAYNAME

Returns the name of the day of the week for all values in a date/time column.

DAYNAME(`DateCol`)

DAYOFMONTH

Returns the numerical day of the month for all values in a date/time column.

Same as DAY.

DAYOFMONTH(`DateCol`)

DAYOFWEEK

Returns the numerical day of the week for all values in a date/time column (e.g. "2" for "Monday").

DAYOFWEEK(`DateCol`)

DAYOFYEAR

Returns the numerical day of the year for all values in a date/time column (e.g. "226" for the 226th day of the year).

DAYOFYEAR(`DateCol`)

FROM_DAYS

Converts day numbers into dates.

FROM_DAYS(`DateCol`)

Returns a UNIX datetime value from a UNIX date/time column using the specified format.

For information about specifier characters, see Date Format Specifier Characters in Beast Mode.

FROM_UNIXTIME(`UnixDateCol`,'%Y %d %m %h:%i:%s %x')

HOUR

Returns the hour for all values in a date/time column (e.g. the time "3:36" would return "3").

HOUR(`Time`)

LAST_DAY

Aggregates values for each month in a date/time column and returns each aggregation as the last day of each month.

For example, if a date/time column had "15," "16," and "17" as values for January, only the last given date of January would appear, with a combined value of 48.

LAST_DAY(`DateCol`)

MINUTE

Returns the value for each minute in a time column.

If there is more than one instance of a particular minute in the column, the values for those minutes are aggregated.

MINUTE(`Time`)

MONTH

Returns the month number (e.g. "9" for September) for all values in a date/time column.

MONTH(`DateCol`)

MONTHNAME

Returns the name of the month (e.g. "September" rather than "9") for all values in a date/time column.

MONTHNAME(`DateCol`)

NOW

Returns the value of current date and time in YYYY-MM-DD HH:MM:SS format.

No column name is specified in this function.

Same as CURRENT_TIMESTAMP.

NOW()

PERIOD_ADD

Adds the specified number of months to the values in a date column. For this to work, the date values must be months in the format YYYYMM.

PERIOD_ADD(`Month`,6)

PERIOD_DIFF

Returns the number of months between months in two date columns.

For this to work, the date values must be months in the format YYYYMM. For example, if one column contained the date value 200803 and another contained the value 200809, this function would return 6.

PERIOD_DIFF(201309,201301)
PERIOD_DIFF(`Month 1`, `Month 2`)
PERIOD_DIFF(DATE_FORMAT(CURDATE(), '%Y%m'), DATE_FORMAT(`DateCol`, '%Y%m'))

QUARTER

Aggregates date value data into quarters in a year.

QUARTER(`DateCol`)

SECOND

Returns the value for each second in a time column. If there is more than one instance of a particular second in the column, the values for those seconds are aggregated.

SECOND(`Time`)

SEC_TO_TIME

Converts seconds into hours, minutes, and seconds. For example, 3489 would be converted into 00:58:09.

SEC_TO_TIME(`Seconds`)

STR_TO_DATE

Converts strings (that Domo does not recognize as dates) from one or more string columns into datetime values. You specify the column(s) and the current date format used in those columns.

By default, datetime values are returned in the output format %m-%d-%Y. You can change the output format by enclosing your STR_TO_DATE calculation in a DATE_FORMAT calculation that specifies the date format specifier characters you want.

For information about specifier characters, see Date Format Specifier Characters in Beast Mode.

STR_TO_DATE(`DateCol`,'%m,%d,%Y')
DATE_FORMAT(STR_TO_DATE(`DateCol`, '%m,%d,%Y'), '%m/%d/%Y')

SUBDATE

Subtracts date or datetime values (as intervals) to date values in a date column.

You can specify the date or datetime values to subtract from date values in a date column by specifying the column, interval, expression, and unit, as in SUBDATE(`datecolumn`, interval expr unit) where datecolumn is the column containing a date value, where expr is the argument containing the date or datetime value to subtract, and where unit is the string value for the corresponding date or datetime unit type.

You can prefix the expression with a "-" to add the value. Specify the unit value (such as second, minute, hour, day, week, month, quarter, year). (The "interval" keyword and unit type values are case insensitive.) For more information, see Unit type values in Beast Mode.

For example, subtracting 12 days from January 24 would return January 12. Same as DATE_SUB.

SUBDATE(`DateCol`, interval 12 day)

SUBTIME

Subtracts a specified number of seconds from all values in a time column.

For example, subtracting 30 seconds from 8:05:45 would return 8:05:15.

SUBTIME(`Time`,15)

SYSDATE

Returns the current date and time in YYYY-MM-DD HH:MM:SS format, as in 2014-04-03T19:25:29.

No column name is specified in this function.

Similar to CURRENT_DATE and CURRENT_TIME.

SYSDATE()

TIME

Extracts the times from datetime values.

TIME(`DateCol`)

TIMEDIFF

Returns the difference between values in two date/time columns, expressed as a time value.

TIMEDIFF(`Time 1`,`Time 2`)

TIMESTAMP

Returns values in a date column as datetime values.

TIMESTAMP(`DateCol`)

TIME_FORMAT

Formats time in a datetime column into a specific format.

You can specify the format to use for time values in a time column by specifying the column and the time string, as in TIME_FORMAT(`datetimecolumn`,'format') where datetimecolumn is the column containing a time value and where format is the string containing specifier characters to use in formatting the time value.

The "%" character is required before format specifier characters.

For example, using TIME_FORMAT(`Date`,'%h:%i:%s'), the date in the transformed time column uses this format: 12:20:12.

For information about specifier characters, see Date Format Specifier Characters for Beast Mode

Similar to DATE_FORMAT.

TIME_FORMAT(`Date`,'%h:%i:%s')
TIME_FORMAT(NOW(),'%h:%i:%s')

TIME_TO_SEC

Returns an elapsed number of seconds for all values in a date/time column.

TIME_TO_SEC(`DateCol`)

TO_DAYS

Returns the number of days since year 0 for all values in a date/time column. For example, the date "01-06-2010" would be returned as "734143," since 734,143 days have transpired between that date and January 1st of year 0.

TO_DAYS(`DateCol`)

Returns the week number for each value of the indicated date or date-time column.

Syntax: WEEK(`dateCol`, mode).

For a Sunday-Saturday week frame, use mode 11: WEEK(`dateCol`, 11).

For a Monday-Sunday week frame, use mode 22: WEEK(`dateCol`, 22). 

YEAR

Returns the year for all values in a date/time column.

YEAR(`DateCol`)

YEARWEEK

Returns the year and week number for each value of the indicated date or date-time column in "YYYYWW" format. For example, a date in the 5th week of the year 2020 will return "202005".

Syntax: YEARWEEK(`dateCol`, mode)

For a Sunday to Saturday week frame, use mode 11: YEARWEEK(`dateCol`, 11). 

For a Monday to Sunday week frame, use mode 22: YEARWEEK(`dateCol`, 22).

YEARWEEK(`DateCol`,11)