# periodToDatePercentileCont

The periodToDatePercentileCont function calculates percentile based on a continuous distribution of the numbers in the measure for a given time granularity (for instance, a quarter) up to a point in time in that period. It uses the grouping and sorting that are applied in the field wells.

To return an exact percentile value that might not be present in your dataset, use periodToDatePercentileCont. To return the nearest percentile value that is present in your dataset, use periodToDatePercentile instead.

## Syntax

`periodToDatePercentileCont(`

measure,

percentile,

dateTime,

period,

endDate (optional))

## Arguments

measure

The argument must be a field. Null values are omitted from the results. Literal values don't work.

percentile

The percentile value can be any numeric constant 0-100. A percentile of 50 computes the median value of the measure.

dateTime

The Date dimension over which you're computing PeriodToDate aggregations.

period

The time period across which you're computing the computation. Granularity of YEAR means YearToDate computation, Quarter means QuarterToDate, and so on. Valid granularities include YEAR, QUARTER, MONTH, WEEK, DAY, HOUR, MINUTE, and SECONDS.

endDate

(Optional) The date dimension that you're ending computing periodToDate aggregations. It defaults to now() if omitted.

## Example

The following example calculates the week-to-date, 90th percentile of fare amount per payment type for the week of 06-30-21. For simplicity in the example, we filtered out only a single payment. 06-30-21 is Wednesday. Insights begins the week on Sundays. In our example, that is 06-27-21.

`periodToDatePercentileCont(fare_amount, 90, pickupDatetime, WEEK, parseDate("06-30-2021", "MM-dd-yyyy")`