# Fractile - chart function

Fractile() finds the value that corresponds to the inclusive fractile (quantile) of the aggregated data in the range given by the expression iterated over the chart dimensions.

Tip noteYou can use [FractileExc - chart function](https://help.qlik.com/en-US/qlikview/September2026/Subsystems/Client/Content/QV_QlikView/ChartFunctions/StatisticalAggregationFunctionsinCharts/fractileexc.htm) to calculate the exclusive fractile.

Syntax:

Fractile([{SetExpression}] [DISTINCT] [TOTAL [<fld{, fld}>]] expr, fraction)

Return data type: numeric

The function returns the value corresponding to the rank as defined by `rank = fraction * (N-1) + 1` where `N` is the number of values in `expr`. If `rank` is a non-integer number, an interpolation is made between the two closest values.

Arguments:

* expr: The expression or field containing the data to use when calculating the fractile.
* fraction: A number between 0 and 1 corresponding to the fractile (quantile expressed as a fraction) to be calculated.
* SetExpression: By default, the aggregation function will aggregate over the set of possible records defined by the selection. An alternative set of records can be defined by a set analysis expression.
* DISTINCT: If the word DISTINCT occurs before the function arguments, duplicates resulting from the evaluation of the function arguments are disregarded.
* TOTAL: If the word TOTAL occurs before the function arguments, the calculation is made over all possible values given the current selections, and not just those that pertain to the current dimensional value, that is, it disregards the chart dimensions. By using TOTAL [<fld {.fld}>], where the TOTAL qualifier is followed by a list of one or more field names as a subset of the chart dimension variables, you create a subset of the total possible values.

Limitations:

The parameter of the aggregation function must not contain other aggregation functions, unless these inner aggregations contain the TOTAL qualifier. For more advanced nested aggregations, use the advanced function Aggr, in combination with a specified dimension.

Examples:

Examples and results

| Example | Result |
| --- | --- |
| `Fractile(Sales, 0.75)` | For a table including the dimension `Customer` and the measure `Fractile([Sales])`, if Totals are shown, the result is 71.75. This is the point in the distribution of values of `Sales` that 75% of the values fall beneath. |
| `Fractile(TOTAL Sales, 0.75))` | 71.75 for all values of `Customer`, because the TOTAL qualifier means that dimensions are disregarded. |
| `Fractile(DISTINCT Sales, 0.75)` | 70 for the total, because using the DISTINCT qualifier means only unique values in `Sales` for each `Customer` are evaluated. |

**Data used in examples:**

```
Monthnames:
LOAD *, Dual(MonthText,MonthNumber) as Month INLINE [
MonthText, MonthNumber
Jan, 1
Feb, 2
Mar, 3
Apr, 4
May, 5
Jun, 6
Jul, 7
Aug, 8
Sep, 9
Oct, 10
Nov, 11
Dec, 12
];

Sales2013:
Crosstable (MonthText, Sales) LOAD * inline [
Customer|Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec
Astrida|46|60|70|13|78|20|45|65|78|12|78|22
Betacab|65|56|22|79|12|56|45|24|32|78|55|15
Canutility|77|68|34|91|24|68|57|36|44|90|67|27
Divadip|57|36|44|90|67|27|57|68|47|90|80|94
] (delimiter is '|');
```

Example data in table form

| Customer | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Astrida | 46 | 60 | 70 | 13 | 78 | 20 | 45 | 65 | 78 | 12 | 78 | 22 |
| Betacab | 65 | 56 | 22 | 79 | 12 | 56 | 45 | 24 | 32 | 78 | 55 | 15 |
| Canutility | 77 | 68 | 34 | 91 | 24 | 68 | 57 | 36 | 44 | 90 | 67 | 27 |
| Divadip | 57 | 36 | 44 | 90 | 67 | 27 | 57 | 68 | 47 | 90 | 80 | 94 |