@@ -14,7 +14,8 @@ To make this more formal, here is the rounding function that is used:
1414bucket_key = Math.floor((value - offset) / interval) * interval + offset
1515--------------------------------------------------
1616
17- The `interval` must be a positive decimal, while the `offset` must be a decimal in `[0, interval[`.
17+ The `interval` must be a positive decimal, while the `offset` must be a decimal in `[0, interval)`
18+ (a decimal greater than or equal to `0` and less than `interval`)
1819
1920The following snippet "buckets" the products based on their `price` by interval of `50`:
2021
@@ -73,7 +74,7 @@ And the following may be the response:
7374
7475==== Minimum document count
7576
76- The response above show that no documents has a price that falls within the range of `[100 - 150)`. By default the
77+ The response above show that no documents has a price that falls within the range of `[100, 150)`. By default the
7778response will fill gaps in the histogram with empty buckets. It is possible change that and request buckets with
7879a higher minimum count thanks to the `min_doc_count` setting:
7980
@@ -185,10 +186,10 @@ the `order` setting. Supports the same `order` functionality as the <<search-agg
185186==== Offset
186187
187188By default the bucket keys start with 0 and then continue in even spaced steps of `interval`, e.g. if the interval is 10 the first buckets
188- (assuming there is data inside them) will be [0 - 9], [10-19], [20-29] . The bucket boundaries can be shifted by using the `offset` option.
189+ (assuming there is data inside them) will be `[0, 10)`, ` [10, 20)`, ` [20, 30)` . The bucket boundaries can be shifted by using the `offset` option.
189190
190191This can be best illustrated with an example. If there are 10 documents with values ranging from 5 to 14, using interval `10` will result in
191- two buckets with 5 documents each. If an additional offset `5` is used, there will be only one single bucket [5-14] containing all the 10
192+ two buckets with 5 documents each. If an additional offset `5` is used, there will be only one single bucket `[5, 15)` containing all the 10
192193documents.
193194
194195==== Response Format
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