Merge pull request #421 from influxdata/flux/function-corrections

Various flux function fixes

content/v2.0/reference/flux/functions/built-in/misc/intervals.md

@@ -8,6 +8,7 @@ menu:
     name: intervals
     parent: built-in-misc
 weight: 401
+draft: true
 ---
 
 The `intervals()` function generates a set of time intervals over a range of time.

content/v2.0/reference/flux/functions/built-in/transformations/aggregates/histogramquantile.md

@@ -75,7 +75,7 @@ _**Data type:** String_
 The assumed minimum value of the dataset.
 When the quantile falls below the lowest upper bound, interpolation is performed between `minValue` and the lowest upper bound.
 When `minValue` is equal to negative infinity, the lowest upper bound is used.
-Defaults to `0`.
+Defaults to `0.0`.
 
 _**Data type:** Float_
 

content/v2.0/reference/flux/functions/built-in/transformations/aggregates/increase.md

@@ -10,7 +10,8 @@ menu:
 weight: 501
 ---
 
-The `increase()` function calculates the total non-negative difference between values in a table.
+The `increase()` function calculates the total non-negative difference between
+subsequent values.
 A main use case is tracking changes in counter values which may wrap over time
 when they hit a threshold or are reset.
 In the case of a wrap/reset, we can assume that the absolute delta between two
@@ -20,16 +21,16 @@ _**Function type:** Aggregate_
 _**Output data type:** Float_
 
 ```js
-increase(column: "_values")
+increase(columns: ["_value"])
 ```
 
 ## Parameters
 
-### column
-The column for which the increase is calculated.
-Defaults to `"_value"`.
+### columns
+The columns to use in the operation.
+Defaults to `["_value"]`.
 
-_**Data type:** Strings_
+_**Data type:** Array of strings_
 
 ## Examples
 ```js

content/v2.0/reference/flux/functions/built-in/transformations/aggregates/quantile.md

@@ -66,7 +66,7 @@ A selector method that returns the data point for which at least `q` points are
 ### compression
 Indicates how many centroids to use when compressing the dataset.
 A larger number produces a more accurate result at the cost of increased memory requirements.
-Defaults to 1000.
+Defaults to `1000.0`.
 
 _**Data type:** Float_