Table of Contents
Category: Transform / Advanced
Creates numerical ranges of fixed width and assigns each row to one of the ranges based on values in the specified column.
The action is typically used for grouping number values (such as age or tenure) by intervals of fixed width (e.g. age group). Created group labels can later be used in reports and charts.
|Column||Select the column containing the values to create buckets for.|
|Bucket column name||Enter a name for the new column containing the bucket range values.|
|Bottom threshold*||Enter the lowest value to assign to a bucket. Values below this threshold will be assigned to a "less than…" bucket.|
|Bucket width*||Enter the number of values each value range (bucket) will contain.|
|Upper threshold*||Enter the highest value to assign to a bucket. Values above this threshold will be assigned to a "greater than…" bucket.|
|Mode||Options: Lower boundary inclusive, upper exclusive or Lower boundary exclusive, upper inclusive. See table below.|
|Label style||Select the format the bucket labels will appear in. Options: 0 < X < 10, < 0, > 10; 0 to 10, less than 0, greater
than 10; or 0 .. 10, < 0, > 10.
|Add columns with lower/upper boundaries||When selected, an additional column named Lower boundary will be created to hold the lower boundary
values of the buckets, and a column named Upper boundary will be created to hold the upper boundary values of the buckets.
|Generate empty rows for empty buckets||When checked, will generate rows for all bucket ranges in which a value did not fall ("unused" buckets).|
* Setting can be specified using a parameter.
|Lower boundary inclusive,|
|In this mode, values falling on the lower boundary will be included in the bucket.|
|Lower boundary exclusive,|
|In this mode, values falling on the upper boundary will be included in the bucket.|
As bucket ranges reuse values for upper and lower boundaries, the Mode determines where a value that falls on a boundary ends up. For example, a value of "50", with the buckets 40 to 50 and 50 to 60 would fall into the 40 to 50 bucket if the "lower exclusive, upper inclusive" mode. If the "lower inclusive, upper exclusive" mode is used, it would fall into the 50 to 60 bucket.
Values that fall into the "less than…" range will have no lower boundary value. Values that fall into the "greater than…" range will have no upper boundary value.
This process is also called "binning".
Example: Generate buckets for a list of age values.
Table 1: Age list (sorted for clarity).
Column is "Age"
Bucket column name is "Age Ranges"
Bottom threshold is "30"
Bucket width is "10"
Upper threshold is "80"
Mode is "lower exclusive, upper inclusive"
Label style is "0 to 10, less than 0, greater than 10"
Add columns with lower/upper boundaries is checked.
Generate empty rows for empty buckets is checked.
|Age||Age Ranges||Lower boundary||Upper boundary|
|18||less than 30||30|
|21||less than 30||30|
|33||30 to 40||30||40|
|43||40 to 50||40||50|
|50||40 to 50||40||50|
|55||50 to 60||50||60|
|65||60 to 70||60||70|
|72||70 to 80||70||80|
|80||70 to 80||70||80|
|81||greater than 80||80|
|96||greater than 80||80|
Notice that values that fall on the upper boundary are included within that range due to the "lower exclusive, upper inclusive" setting.
There were no unused buckets, so no extra rows were produced.