More work

docs/en/sql-reference/aggregate-functions/reference/quantileexact.md

@@ -165,7 +165,9 @@ Exactly computes the [quantile](https://en.wikipedia.org/wiki/Quantile) of a num
 
 To get exact value, all the passed values ​​are combined into an array, which is then partially sorted. Therefore, the function consumes `O(n)` memory, where `n` is a number of values that were passed. However, for a small number of values, the function is very effective.
 
-When using multiple `quantile*` functions with different levels in a query, the internal states are not combined (that is, the query works less efficiently than it could). In this case, use the [quantilesExactExclusive](../../../sql-reference/aggregate-functions/reference/quantiles.md#quantilesexactexclusive) function.
+This function is equivalent to [PERCENTILE.EXC](https://support.microsoft.com/en-us/office/percentile-exc-function-bbaa7204-e9e1-4010-85bf-c31dc5dce4ba) Excel function, ([type R6](https://en.wikipedia.org/wiki/Quantile#Estimating_quantiles_from_a_sample)).
+
+When using multiple `quantileExactExclusive` functions with different levels in a query, the internal states are not combined (that is, the query works less efficiently than it could). In this case, use the [quantilesExactExclusive](../../../sql-reference/aggregate-functions/reference/quantiles.md#quantilesexactexclusive) function.
 
 **Syntax**
 
@@ -175,7 +177,7 @@ quantileExactExclusive(level)(expr)
 
 **Arguments**
 
--   `level` — Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a `level` value in the range of `[0.01, 0.99]`. Default value: 0.5. At `level=0.5` the function calculates [median](https://en.wikipedia.org/wiki/Median).
+-   `level` — Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a `level` value in the range of `(0, 1)`. Default value: 0.5. At `level=0.5` the function calculates [median](https://en.wikipedia.org/wiki/Median).
 -   `expr` — Expression over the column values resulting in numeric [data types](../../../sql-reference/data-types/index.md#data_types), [Date](../../../sql-reference/data-types/date.md) or [DateTime](../../../sql-reference/data-types/datetime.md).
 
 **Returned value**
@@ -208,11 +210,13 @@ Result:
 
 ## quantileExactInclusive {#quantileexactinclusive}
 
-Exactly computes the [quantile](https://en.wikipedia.org/wiki/Quantile) of a numeric data sequence.
+Exactly computes the [quantile](https://en.wikipedia.org/wiki/Quantile) of a numeric data sequence. 
 
 To get exact value, all the passed values ​​are combined into an array, which is then partially sorted. Therefore, the function consumes `O(n)` memory, where `n` is a number of values that were passed. However, for a small number of values, the function is very effective.
 
-When using multiple `quantile*` functions with different levels in a query, the internal states are not combined (that is, the query works less efficiently than it could). In this case, use the [quantilesExactInclusive](../../../sql-reference/aggregate-functions/reference/quantiles.md#quantilesexactexclusive) function.
+This function is equivalent to [PERCENTILE.INC](https://support.microsoft.com/en-us/office/percentile-inc-function-680f9539-45eb-410b-9a5e-c1355e5fe2ed) Excel function, ([type R7](https://en.wikipedia.org/wiki/Quantile#Estimating_quantiles_from_a_sample)).
+
+When using multiple `quantileExactInclusive` functions with different levels in a query, the internal states are not combined (that is, the query works less efficiently than it could). In this case, use the [quantilesExactInclusive](../../../sql-reference/aggregate-functions/reference/quantiles.md#quantilesexactexclusive) function.
 
 **Syntax**
 
@@ -222,7 +226,7 @@ quantileExactInclusive(level)(expr)
 
 **Arguments**
 
--   `level` — Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a `level` value in the range of `[0.01, 0.99]`. Default value: 0.5. At `level=0.5` the function calculates [median](https://en.wikipedia.org/wiki/Median).
+-   `level` — Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a `level` value in the range of `[0, 1]`. Default value: 0.5. At `level=0.5` the function calculates [median](https://en.wikipedia.org/wiki/Median).
 -   `expr` — Expression over the column values resulting in numeric [data types](../../../sql-reference/data-types/index.md#data_types), [Date](../../../sql-reference/data-types/date.md) or [DateTime](../../../sql-reference/data-types/datetime.md).
 
 **Returned value**

docs/en/sql-reference/aggregate-functions/reference/quantiles.md

@@ -14,6 +14,8 @@ Exactly computes the [quantiles](https://en.wikipedia.org/wiki/Quantile) of a nu
 
 To get exact value, all the passed values ​​are combined into an array, which is then partially sorted. Therefore, the function consumes `O(n)` memory, where `n` is a number of values that were passed. However, for a small number of values, the function is very effective.
 
+This function is equivalent to [PERCENTILE.EXC](https://support.microsoft.com/en-us/office/percentile-exc-function-bbaa7204-e9e1-4010-85bf-c31dc5dce4ba) Excel function, ([type R6](https://en.wikipedia.org/wiki/Quantile#Estimating_quantiles_from_a_sample)). 
+
 Works more efficiently with sets of levels than [quantilesExactExclusive](../../../sql-reference/aggregate-functions/reference/quantileexact.md#quantileexactexclusive).
 
 **Syntax**
@@ -24,7 +26,7 @@ quantilesExactExclusive(level1, level2, ...)(expr)
 
 **Arguments**
 
--   `level` — Leveles of quantiles. Constant floating-point numbers from 0 to 1. We recommend using a `level` values in the range of `[0.01, 0.99]`.
+-   `level` — Leveles of quantiles. Constant floating-point numbers from 0 to 1. We recommend using a `level` values in the range of `(0, 1)`.
 -   `expr` — Expression over the column values resulting in numeric [data types](../../../sql-reference/data-types/index.md#data_types), [Date](../../../sql-reference/data-types/date.md) or [DateTime](../../../sql-reference/data-types/datetime.md).
 
 **Returned value**
@@ -61,6 +63,8 @@ Exactly computes the [quantiles](https://en.wikipedia.org/wiki/Quantile) of a nu
 
 To get exact value, all the passed values ​​are combined into an array, which is then partially sorted. Therefore, the function consumes `O(n)` memory, where `n` is a number of values that were passed. However, for a small number of values, the function is very effective.
 
+This function is equivalent to [PERCENTILE.INC](https://support.microsoft.com/en-us/office/percentile-inc-function-680f9539-45eb-410b-9a5e-c1355e5fe2ed) Excel function, ([type R7](https://en.wikipedia.org/wiki/Quantile#Estimating_quantiles_from_a_sample)).
+
 Works more efficiently with sets of levels than [quantilesExactInclusive](../../../sql-reference/aggregate-functions/reference/quantileexact.md#quantilesexactinclusive).
 
 **Syntax**
@@ -71,7 +75,7 @@ quantilesExactInclusive(level1, level2, ...)(expr)
 
 **Arguments**
 
--   `level` — Leveles of quantiles. Constant floating-point numbers from 0 to 1. We recommend using a `level` values in the range of `[0.01, 0.99]`.
+-   `level` — Leveles of quantiles. Constant floating-point numbers from 0 to 1. We recommend using a `level` values in the range of `[0, 1]`.
 -   `expr` — Expression over the column values resulting in numeric [data types](../../../sql-reference/data-types/index.md#data_types), [Date](../../../sql-reference/data-types/date.md) or [DateTime](../../../sql-reference/data-types/datetime.md).
 
 **Returned value**