Function Reference

Calculates the mean average of the given values.
Syntax
Avg(<numeric Field>)
Arguments

Example
AVG(Score)
Returns the mean average of the given scores.

Calculates the average of the given aggregation grouped by another field.
Syntax
Avg(<group-by field>, <aggregation>)
Arguments

Example
Avg( Product, Total Sales)
Returns the average of the total sales per product.

Calculates the percentage of total.
Syntax
Contribution(<numeric field>)
Arguments

Example
Contribution( Total Sales )
Returns the percentage of total sales per group (for example per day or per product) out of total sales (for all days or all products).

Returns the correlation coefficient of two numeric fields.
Syntax
CORREL(<Numeric Field a>, <Numeric Field b>)
Arguments

Example
CORREL(Revenue, Cost)
Returns the correlation between revenue and cost.

Returns the correlation coefficient of two fields aggregations grouped by another field.
Syntax
CORREL(<group by field>, <aggregation a>, <aggregation b>)
Arguments

Example
CORREL(Products, AVG(Revenue), AVG(Cost))
Returns the correlation between the average of revenue and cost per product.

Counts the number of unique values within the given values.
Syntax
Count(<Numeric Field>)
Arguments

Example
COUNT([Category ID])
Returns the number of different category IDs within the given list of items.

Returns the actual item count of the given list of items, including duplicates.
Syntax
DupCount(<Numeric Field>)
Arguments

Example
DupCOUNT([Category ID])
Returns the actual count of category IDs in the list of items.

Returns the population covariance of <Numeric Field a> and <Numeric Field b>.
Syntax
COVARP(<Numeric Field a>, <Numeric Field b>)
Arguments

Example
COVARP(Revenue, Cost)
Returns the population covariance of revenue and cost.

Returns the population covariance of two fields aggregations grouped by another field.
Syntax
COVARP(<group by field>, <aggregation a>, <aggregation b>)
Arguments

Example
COVARP(Products, AVG(Revenue), AVG(Cost))
Returns the population covariance of the average revenue and the average cost per product.

Returns the sample covariance of <Numeric Field a> and <Numeric Field b>.
Syntax
COVAR(<Numeric Field a>, <Numeric Field b>)
Arguments

Example
COVAR(Revenue, Cost)
Returns the sample covariance of revenue and cost.

Returns the sample covariance of two fields aggregations grouped by another field.
Syntax
COVAR(<group by field>, <aggregation a>, <aggregation b>)
Arguments

Example
COVAR(Products, AVG(Revenue), AVG(Cost))
Returns the sample covariance of the average revenue and the average cost per product.

Returns the exponential distribution for a given value and a supplied distribution parameter lambda.
Syntax
EXPONDIST(<numeric value>, <lambda>, <Cumulative (true/false)>)
Arguments

Example
EXPONDIST( Count(Leads), 2, False )
Returns the exponential distribution density of the number of leads per country where lambda is 2.

Returns the intercept of a linear regression line through the provided series of x and y values.
Syntax
INTERCEPT(<field>, <numeric field>)
Arguments

Example
INTERCEPT(month.int, Total Sales)
Returns the intercept of the regression line that represents the trend of items sold for each month.

Returns the k-th largest value in a field.
Syntax
LARGEST(<Numeric Field>, <k>)
Arguments

Example
LARGEST(<Total Sales>,<3>)
Returns the third-largest Total Sales value.

Returns the maximum value among the given values.
Syntax
Max(<Numeric Field>)
Arguments

Example
MAX([Total Revenue])
Returns the item with the maximum Total Revenue.

Calculates the median of the given values. The median of a set of data is the middlemost number in the set. The median is also the number that is halfway into the set.
Syntax
MEDIAN( <Numeric Field> )
Arguments

Example
MEDIAN([Total Revenue])
Returns the item whose Total Revenue is the middlemost number in the set.

Returns the minimum value among the given values.
Syntax
Min(<Numeric Field>)
Arguments

Example
MIN([Total Revenue])
Returns the item with the minimum Total Revenue.

Returns the most frequently occurring value from the column.
Syntax
MODE(<Numeric Field>)
Arguments

Example
MODE([Country ID])
Returns return the country ID that is the most frequently occurring in the list of items.

Returns the standard normal distribution for a given value, a supplied distribution mean and standard deviation.
Syntax
NORMDIST(SUM(Numeric Field a), <Mean (Numeric Field), All(Numeric Field)>,
<Standard Deviation (Numeric Field), All(Numeric Field)>, <Cumulative
(true/false)>)

Arguments

Example
NORMDIST(Score, ( Mean(Score), All(Score)), ( STDEV(Score), All(Score) ), False )
Returns the normal probability density of a given student score.

Returns the k-th percentile value from the given field.
Syntax
PERCENTILE(<Numeric Field>, <k>)
Arguments

Example
PERCENTILE(<Total Sales>, <0.9>)
Returns the 90th percentile of Total Sales.

Returns the poisson distribution for a given value and a supplied distribution mean.
Syntax
POISSONDIST( <numeric value>, <mean>, <Cumulative (true/false)>)
Arguments

Example
POISSONDIST( Score, ( Mean(Score), All(Score) ), ( STDEV(Score), All(Score) ), False )
Returns the poisson probability density of a given number of scores.

Returns the k-th quartile for the given field. Can return minimum value, first quartile, second quartile, third quartile, and max value.
Syntax
QUARTILE(<Numeric Field>, <k>)
Arguments

Example
QUARTILE(<Numeric Field>, <k>)
Returns the quartile of the given item.

Returns the rank of a value in a list of values.
Syntax
RANK(<numeric value>, [DESC/ASC], [Rank Type], [<group by field 1>,... , <group by field n>])
Arguments

Example
RANK(Total Cost, "ASC", "1224", Product, Years)
Returns the rank of the total annual cost per each product, sorted in ascending order.

Returns the skewness of the distribution of a given value in the population.
Syntax
SKEWP(<numeric value>)
Arguments

Example
SKEWP(Score)
Returns the skewness of the distribution of scores in the population.

Returns the skewness of the distribution of a given value in a sample.
Syntax
SKEW(<numeric value>)
Arguments

Example
SKEW(Score)
Returns the skewness of the distribution of scores in the sample.

Returns the slope of a linear regression line through the provided series of x and y values.
Syntax
SLOPE(<field>, <numeric value>)
Arguments

Example
SLOPE(month.int, Total Sales)
Returns the slope of the regression line that represents a trend of items sold for each month.

Returns the Standard Deviation of the given values (Population). Standard deviation is the square root of the average squared deviation from the mean. The standard deviation of a population gives researchers the amount of dispersion of data for an entire population of survey respondents.
Syntax
STDEVP( <Numeric Value> )
Arguments

Example
STDEVP(score)
Returns the Standard Deviation of the given values in the population.

Returns the Standard Deviation of the given values (Sample). Standard deviation is the square root of the average squared deviation from the mean. A standard deviation of a sample estimates the amount of dispersion in a given data set, based on a random sample.
Syntax
STDEV( <Numeric Value> )
Arguments

Example
STDEV(score)
Returns the Standard Deviation of the given values in the sample.

Returns the student’s T-distribution for a given value and a supplied number of degrees of freedom.
Syntax
TDIST( <numeric value x>,<degrees_freedom>, <Cumulative (true/false)>)
Arguments

Example
TDIST( Score, 3, TRUE )
Returns the student’s T-distribution of a given score, with 3 degrees of freedom.

Returns the Variance of the given values (Population). Variance (Sample) is the average squared deviation from the mean, based on an entire population of survey respondents.
Syntax
VARP( <Numeric Value> )
Arguments

Example
VARP( <Grade> )
Returns the variance of grades in the student population.

Returns the Variance of the given values (Sample). Variance (Sample) is the average squared deviation from the mean, based on a random sample of the population.
Syntax
VAR( <Numeric Value> )
Arguments

Example
VAR( <Grade> )
Returns the variance of grades in a random sample.

Returns the absolute value of the given value.
Syntax
Abs(<Numeric value>)
Arguments

Example
ABS(Cost), where the absolute result for the value ‘2’ or ‘-2’ is ‘2’.

Returns the angle, in radians, whose cosine is the given numeric expression. Also referred to as arccosine.
Syntax
ACOS(<numeric value>)
Arguments

Example
ACOS(Total Revenue) will return the angle, in radians, whose cosine is the given total revenue.
This function can be used when trying to determine distance for logistical purposes, (i.e., delivery service, flights, the distance between customers, etc.).

Returns the angle, in radians, whose sine is the given numeric expression. Also referred to as arcsine.
Syntax
ASIN(<numeric value>)
Arguments

Example
ASIN(Total Revenue) 'o will return the angle, in radians, whose sine is the given total revenue.

Returns the angle in radians whose tangent is the given numeric expression. Also referred to as arctangent.
Syntax
ATAN(<numeric value>)
Arguments

Example
ATAN(Total Revenue) will return the angle in radians whose tangent is the given total revenue.

Returns a number rounded up away from zero, to the nearest multiple of significance.
Syntax
CEILING(<numeric value>)
Arguments

Example
CEILING(Total Cost), where the result of ‘83.2’ is rounded up to ’84’.

Returns the trigonometric cosine of the given angle (in radians).
Syntax
COS(<numeric value>)
Arguments

Example
COS(Average Angle) will return the trigonometric cosine of the average angle.

Returns the hyperbolic cosine of the given value.
Syntax
COSH(<numeric value>)
Arguments

Example
COSH(Total Revenue) will return the hyperbolic cosine of the total revenue.

Returns the trigonometric cotangent of the given angle (in radians).
Syntax
COT(<numeric value>)
Arguments

Example
COT(Average Angle) will return the trigonometric cotangent of the average angle.

Returns the exponential value of the given value.
Syntax
EXP(<numeric value>)
Arguments

Example
EXP(Sales) will return the exponential value of sales.

Returns number rounded down, toward zero, to the nearest multiple of ‘1’.
Syntax
FLOOR(<numeric value>)
Arguments

Example
FLOOR(Revenue), where the result of ‘88.6’ rounded down is ’88’.

Returns the base-e logarithm of the given value.
Syntax
LN(<numeric value>)
Arguments

Example
LN(Cost) will return the base e-logarithm of the interest rate.

Returns the base-10 logarithm of the given value.
Syntax
LOG10(<numeric value>)
Arguments

Example
LOG10(Revenue) will return the base-10 logarithm of the interest rate.

Returns the remainder after a number is divided by a divisor.
Syntax
MOD(<numeric value>, divisor)
Arguments

Example
MOD(Cost, 10), where the reminder of ‘255’ divided by ’10’ is ‘5’.

Returns the results of the given value raised to a supplied power.
Syntax
Power(value, power)
Arguments

Example
POWER(Revenue, 2) will return revenue raised by the power of 2.

Returns the integer portion of a division.
Syntax
QUOTIENT(<numeric value>, divisor)
Arguments

Example
QUOTIENT(Cost, 2), where the integer portion of ‘5’ divided by ‘2’ is ‘2’.

Returns number rounded to a specified number of digits.
ROUND(<numeric value>, num_digits)
Arguments

Example
ROUND(Revenue, 2) will return the revenue rounded to two decimal places.

Returns the trigonometric sine of the given angle (in radians).
Syntax
SIN(<numeric value>)
Arguments

Example
SIN(Average Angle) will return the trigonometric sine of the average angle.

Returns the hyperbolic sine of the given value.
Syntax
SINH(<numeric value>)
Arguments

Example
SINH(Total Revenue) will return the hyperbolic sine of the total revenue.

Returns the square root of the given value.
Syntax
SQRT(<Numeric value>)
Arguments

Example
SQRT(Cost) will return the square root of cost.

Calculates the total of the given values.
Syntax
Sum(<Numeric Field>)
Arguments

Example
Sum(Cost) calculates the total Cost across all items.

Returns the trigonometric tangent of the given angle (in radians).
Syntax
TAN(<numeric value>)
Arguments

Example
TAN(Average Angle) will return the trigonometric tangent of the average angle.

Returns the hyperbolic tangent of the given value.
Syntax
TANH(<numeric value>)
Arguments

Example
TANH(Total Revenue) will return the hyperbolic tangent of the total revenue.

Returns the difference between <End Time> and <Start Time> in days.
Syntax
DDiff(<End Time>, <Start Time>)
Arguments

Example
DDiff(<Discharge Time>, <Admission Time>)
Returns the difference in days from the time of admission to hospital to the time of patient discharge.

Returns the difference between <End Time> and <Start Time> in months. Returns whole numbers.
Syntax
MDiff( <End Time>, <Start Time>)
Arguments

Example
MDiff(<Departure Time>, <Arrival Time>)
Returns the difference in months from the time a ship departures from its departure port to the time of arrival in its destination port. Returns whole numbers.

Returns the difference between <End Time> and <Start Time> in quarters. Returns whole numbers.
Syntax
QDiff( <End Time>, <Start Time> )
Arguments

Example
QDiff(<StartSemester>, <EndSemester>)
Returns the difference in quarters from the first academic semester to the graduation semester. Returns whole numbers.

Returns the difference between <End Time> and <Start Time> in years. Returns whole numbers.
Syntax
YDiff( <End Time>, <Start Time> )
Arguments

Example
YDiff(<Sentence Start>, <Sentence End>)
Returns the difference in years from sentence start to sentence end. Returns whole numbers.

Returns the difference between <End Time> and <Start Time> in seconds.
Syntax
SDiff( <End Time>, <Start Time> )
Arguments

Example
SDiff(<Landing Time>, <Leaving Time>)
Returns the difference in seconds from the time of landing on the page to the time of leaving the page.

Returns the difference between <End Time> and <Start Time> in minutes.
Syntax
MnDiff( <End Time>, <Start Time> )
Arguments

Example
MnDiff(<Landing Time>, <Payment Completed Time>)
Returns the difference in minutes from the time of landing on the page to the time of leaving the page.

Returns the difference between <End Time> and <Start Time> in hours. Returns whole numbers.
Syntax
HDiff( <End Time>, <Start Time> )
Arguments

Example
HDiff([Attendance_time],[Check_in_time])
Returns the difference in hours between the check-in time to the Emergency Room and time of attendance by the doctor. Returns whole numbers.

Returns the difference between this week's data and the data from the previous week.
Use this function when the time resolution used in your widget is day or week. Otherwise does not display correct data.
Syntax
DiffPastWeek( <numeric field> )
Arguments

Example
DiffPastWeek([Total Sales])
Returns the difference between this week's sales and previous week's sales, for the displayed time resolution.
For example, for day resolution: (sales in current day - sales in same day one week back).
For week resolution: (sales in current week - sales in previous week)

Returns the difference between this month's data and the data from the previous month.
For example, for day resolution: (sales in current day - sales in same day one month back).
Use this function when the time resolution used in your widget is 'month'. Otherwise does not display correct data.
Syntax
DiffPastMonth(<numeric field>)
Arguments

Example
DiffPastMonth( <Total Sales> )
Returns the difference between this month's sales and previous month's sales, for the displayed time resolution.

Returns the difference between this quarter's data and the data from the previous quarter.
Use this function when the time resolution used in your widget is 'month or 'quarter''. Otherwise does not display correct data.
Syntax
DiffPastQuarter( <numeric field> )
Arguments

Example
DiffPastQuarter([Total Sales])
Returns the difference between this quarter's sales and previous quarter's sales, for the displayed time resolution.
For example, for month resolution: (sales in current month - sales in same month one quarter back).
For quarter resolution: (sales in current quarter- sales in previous quarter)

Returns the difference between this year's data and the data from the previous year. All time resolutions in the widget are available for this function (year, quarter, month, week, day).
Syntax
DiffPastYear( <numeric field> )
Arguments

Example
DiffPastYear( <Total Sales> )
Returns the difference between this year's sales and previous year's sales, for the displayed time resolution.
For example, for month resolution: (sales in current month - sales in same month one year back).
For quarter resolution: (sales in current quarter - sales in the same quarter one year back).
For week resolution: (sales in current week - sales in same week one year back).

Returns the difference between this period's data and the data from the previous period. Formula: (current value - compared value).
Accepts any time resolution (day, week, etc.).
Syntax
DiffPastQuarter([Total Sales])
Arguments

Example
DiffPastPeriod([Total Sales])
Returns the difference between this period's sales and previous period's sales.

Calculates growth over time. Formula: (current value – compared value) / compared value.
Accepts any time resolution (day, week, etc.) in the widget.
Syntax
Growth( <Numeric Field> )
Arguments

Example
Growth([Total Quantity])
If this month your Total Quantity is 12, and last month it was 10, your Growth for this month is 20% (0.2).Calculation: (12 – 10) / 10 = 0.2
If this year your Total Quantity is 80, and last year it was 100, your Growth for this year is -20% ( -0.2).Calculation: (80 – 100) / 100 = -0.2

Calculates growth over time. Formula: (current value – compared value) / compared value.
Accepts any time resolution (day, week, etc.).
Syntax
GrowthRate( <Numeric Field> )
Arguments

Example
GrowthRate([Total Quantity])
If this month your Total Quantity is 12, and last month it was 10, your Growth Rate for this month is 12/10 = 120% (1.2).Calculation: 12 / 10 = 1.2.
If this year your Total Quantity is 80, and last year it was 100, your Growth for this year is 80/100 = 80% ( 0.8).Calculation: 80 / 100 = 0.8

Calculates the growth from the past week to the current week.
Use this function when the time resolution in your widget is weeks or days. Otherviews does not display any data.
Syntax
GrowthPastWeek(<numeric field>)
Arguments

Example
GrowthPastWeek([Total Sales]) Calculates the difference between this week's sales and previous week's sales, for the displayed time resolution.
For example, for day resolution: (sales in current day - sales in same day one week back) / sales in same day one week back.
For week resolution: (sales in current week - sales in previous week / sales in previous week)

Calculates the growth from the past month to the current month.
Use this function when the time resolution in your widget is month or day. Otherwise, does not display any data.
Syntax
GrowthPastMonth( <Numeric Field> )
Arguments

Example
GrowthPastMonth([Total Sales])
Calculates the difference between this month's sales and previous month's sales, for the displayed time resolution. For example, for day resolution: (sales in current day - sales in same day one month back) / sales in same day one month back.

Calculates the growth from the past quarter to the current quarter.
Use this function when the time resolution in your widget is month or quarter. Otherwise, does not display any data.
Syntax
GrowthPastQuarter(<numeric field>)
Arguments

Example
GrowthPastQuarter([Total Sales])
Calculates the difference between this quarter's sales and previous quarter's sales, for the displayed time resolution.
For example, for month resolution: (sales in current month - sales in same month one quarter back) / sales in same month one quarter back.
For quarter resolution: (sales in current quarter - sales in previous quarter) / sales in previous quarter.

Calculates the growth from the past year to the current year.
Use this function when the time resolution in your widget is week, month, quarter, year.
Syntax
GrowthPastYear(<numeric field>)
Arguments

Example
GrowthPastWeek([Total Sales])
Calculates the difference between this year's sales and previous year's sales, for the displayed time resolution.
For example, for week resolution: (sales in current week - sales in same week one year back / sales in same week one year back).
For month resolution: (sales in current month - sales in same month one year back / sales in same month one year back).

Returns the Time period Member in <Time Field> which is N periods back from the current member.
This function works will all time resolutions. However, make sure that the active time resolution in the widget matches the time resolution in the function. For example: If the function is “([Total Quantity], Prev([Months in Date], 2))”, the active time resolution must be ‘months’.
This function can only work as a parameter inside another formula, and not by itself.

Syntax
((<numeric field>), Prev(<Time Field>, [<N>]))

Arguments

Example
([Total Quantity], Prev([Months in Date], 2))
This formula returns the Total Quantity value for the month that occurred two months ago.

Returns the value for the time-period member in <Time Field> which is N periods after the current member.
This function works will all time resolutions. However, make sure that the active time resolution in the widget matches the time resolution in the function. For example: If the function is “([Total Quantity],Next([Weeks in Date], 2))”, the active time resolution must be ‘weeks’.
This function can only work as a parameter inside another formula, and not by itself.

Syntax
((<numeric field>), Next(<Time Field>, [<N>]))

Arguments

Example
([Total Quantity],Next([Months in Date], 2))
This formula returns the Total Quantity value for the month occurring two months ahead.

Returns the value for the current time period. The Now function receives a date dimension and its level and returns all the members in that dimension which match the current query execution time.

Use this function when the time resolution in your widget is day, month, quarter, year.

This function can only work as a parameter inside another formula, and not by itself.

Syntax
((<numeric field>), Now(<Time Field>))

Arguments

Example
([Total Quantity],Now([Months in Date]))
This formula returns the Total Quantity value for the current month.

Returns the value for the previous day. Accepts the time resolution day.
Syntax
PastDay( <numeric field> )
Arguments

Example
PastDay(<Total Sales>)
If you’re looking at a specific day, you will see the value one day back.

Returns the value for the same period in the previous week. Accepts the time resolutions day, week.

Syntax
PastWeek( <numeric field> )

Arguments

Example
PastWeek(<Total Sales>)
Returns the Total Sales value one week back for the displayed time resolution.
If you’re looking at a specific day, you will see the value of the same day one week back.

Returns the value for the same period in the previous month. Accepts the time resolutions day, month.

Syntax
PastMonth( <numeric field> )

Arguments

Example
PastMonth(<Total Sales>)
Returns the Total Sales value one month back for the displayed time resolution.
If you’re looking at a specific day, you will see the value of the same day one month back.

Returns the value for the same period in the previous quarter. Accepts the time resolutions day, month, quarter.

Syntax
PastQuarter( <numeric field> )

Arguments

Example
PastQuarter(<Total Sales>)
Returns the Total Sales value one quarter back for the displayed time resolution.
If you’re looking at a specific day, you will see the value of the same day one quarter back. If you’re looking at a specific month, you will see the value of the same month one quarter back.

Returns the value for the same period in the previous year. Accepts any time resolution (day, week, etc.)

Syntax
PastYear( <numeric field> )

Arguments

Example
PastYear(<Total Sales>)
Returns the Total Sales value one year back for the displayed time resolution.
If you’re looking at a specific day, you will see the value of the same day one year back. If you’re looking at a specific month, you will see the value of the same month one year back.

Returns an accumulated value for a data set where two members of the same dimension and level define the minimum and maximum values of the range.

Accepts the time resolutions day, month.

This function can only work as a parameter inside another formula, and not by itself.

Syntax
Range(<Start Date>, <End Date>)

Arguments

Example
( [Total Quantity], RANGE ( PREV ( [Days in Date],2), current( [Days in Date] )))
Returns the Total Quantity value in the range between two days ago and today.

Returns the running average starting from the beginning of the week up to the current day.

Returns 0 if the active time resolution is years, quarters, or months.

Syntax
WTDAvg( <numeric field> )

Arguments

Example
WTDAvg(<Total Sales>)
Returns the running average of Total Sales starting from the beginning of the week up to the desired day.

Returns the running average starting from the beginning of the month up to the current day.

Use this function when the active time resolution in your widget is 'days'.

Returns 0 if the active time resolution is quarters or years or weeks.

Syntax
MTDAvg(<numeric field>)

Arguments

Example
MTDAvg([Total Quantity])
Returns the running Total Quantity average starting from the beginning of the month up to the current day.

Returns the running total starting from the beginning of the month up to the current day.
Use this function when the active time resolution in your widget is 'days'.
Returns 0 if the active time resolution is quarters or years or weeks.

Syntax
MTDSum(<numeric field>)

Arguments

Example
MTDSum([Total Quantity])
Returns the running total of Total Sales starting from the beginning of the month up to the current day.

Returns the running average starting from the beginning of the quarter up to the current day or month.
Returns 0 if the active time resolution is weeks.

Syntax
QTDAvg( <numeric field> )

Arguments

Example
QTDAvg(<Total Sales>)
Returns the running average of Total Sales starting from the beginning of the quarter up to the desired day or month.

Returns the running total starting from the beginning of the quarter up to the current day or month.
Returns 0 if the active time resolution is weeks.

Syntax
QTDSum( <numeric field> )

Arguments

Example
QTDSum(<Total Sales>)
Returns the running total of Total Sales starting from the beginning of the quarter up to the current day or month.

Returns the running average starting from the beginning of the year up to the current day, week, month, quarter or year.

Syntax
YTDAvg( <numeric field> )

Arguments

Example
WTDAvg(<Total Sales>)
Returns the running average of Total Sales starting from the beginning of the week up to the desired day, week, month, quarter or year.

Returns the running total starting from the beginning of the year up to the current day, week, month, quarter or year.

Syntax
YTDSum( <numeric field> )

Arguments

Example
YTDSum(<Total Sales>)
Returns the running total of Total Sales starting from the beginning of the year up to the current day, week, month, quarter or year.

Ignores the scope set on the dimension.
This function can only work as a parameter inside another formula, and not by itself.

Syntax
All(<Numeric Field>)

Arguments

Example
Sum(All Sales)
Returns the Total Sales for all items.

Returns the result_expression of the first condition evaluated as true. When no condition is true, else_expression is returned, if one is defined.
For example, the below function will return '1' when the Total Sales value is between 100 and 1000. It will return '2' if the Total Sales value is above 1000. It will return '3' in any other case (meaning, when Total Sales are below 100).

Syntax
(WHEN <condition> THEN <result_expression> [...] [ESLE <result_expression>] END)

Arguments

Example
CASE
WHEN Sum(Sales) < 100 THEN 1
WHEN Sum(Sales) < 1000 THEN 2
ELSE 3
END
Returns '1' when the Total Sales value is between 100 and 1000. Returns '2' if the Total Sales value is above 1000. Returns '3' in any other case (meaning, when Total Sales are below 100).

Returns numeric expression '1' when the condition is true, and expression '2' when the condition is false. Nested conditional statements are supported.

Syntax
IF (<condition>, <numeric expression 1>, <numeric expression 2>)

Arguments

Example
IF(Count(Sales)>100, Sum(Sales)*1.1, sum(Sales))
If the number of unique values within the Sales values is larger than 100, the function will return the Total Sales x 1.1 (sales increase of 10%). Otherwise - if the number of unique values within the Sales values is lower than 100, will return only the Total Sales, without an increase.

Returns true if the expression doesn't contain data (Null).

Syntax
(<numeric value>)

Arguments

Example
Can be used as a condition when writing conditional statements.

Returns the numeric order position of rows sorted into ascending or descending order, breaking ties with further arguments.
The expressions must be aggregated by applying the MIN/MAX functions.

Syntax
ORDERING(<expression1>,<expression2>)

Arguments

Example
ORDERING(MIN([Sales Person Name]), MIN([Days in Transaction_Date]), -1*Sum([Sales]))

Returns a numeric result for a given R expression and a list of numeric values
The R expression is passed to the running Rserve.

Syntax
RDOUBLE(<R expression>, [<ordering>], <numeric value 1>, [<numeric value
2>, ..., <numeric value n>] )
RDOUBLE(<recycle>, <R expression>, [<ordering>], <numeric value 1>,
[<numeric value 2>, ..., <numeric value n>] )

Argument

Example
RDOUBLE(“m <- log(matrix(unlist(args), ncol=2)); kmeans(m,3)$cluster”,
[Total Cost], [Total Revenue])

Returns the k-means cluster (R expression) of the args: [Total Cost] and [Total Revenue].

Returns an integer result for a given R expression and a list of numeric values.
The R expression is passed to the running Rserve.

Syntax
RINT(<R expression>, [<Ordering>], <numeric value 1>, [<numeric value 2>,
..., <numeric value n>] )
RINT(<recycle>, [<Ordering>], <R expression>, <numeric value 1>, [<numeric
value 2>, ..., <numeric value n>] )

Argument

Example
RINT(“m <- log(matrix(unlist(args), ncol=2)); kmeans(m,3)$cluster”, [Total
Cost], [Total Revenue])

Returns the k-means cluster (R expression) of the args: [Total Cost] and [Total Revenue]

Returns the running total of the measure by the defined dimension according to the current sorting order in the widget.

By default, RSUM accumulates a measure by the sorting order of the dimension. To accumulate by another order, the relevant measure should be added as an additional column and sorted.

Syntax
RSUM ( <numeric value> ),
RSUM ( <numeric value> , <continuous> )

Arguments

Example

RSUM([Total Revenue], FALSE)

Returns the running total of the Total Revenue measure.