WIDTH_BUCKET
Syntax
Purpose
WIDTH_BUCKET
lets you construct equiwidth histograms, in which the histogram range is divided into intervals that have identical size. (Compare this function with NTILE
, which creates equiheight histograms.) Ideally each bucket is a closedopen interval of the real number line. For example, a bucket can be assigned to scores between 10.00 and 19.999 ... to indicate that 10 is included in the interval and 20 is excluded. This is sometimes denoted [10, 20).
For a given expression, WIDTH_BUCKET
returns the bucket number into which the value of this expression would fall after being evaluated.

expr
is the expression for which the histogram is being created. This expression must evaluate to a numeric or datetime value or to a value that can be implicitly converted to a numeric or datetime value. Ifexpr
evaluates to null, then the expression returns null. 
min_value
andmax_value
are expressions that resolve to the end points of the acceptable range forexpr
. Both of these expressions must also evaluate to numeric or datetime values, and neither can evaluate to null. 
num_buckets
is an expression that resolves to a constant indicating the number of buckets. This expression must evaluate to a positive integer.See Also:
Table 28 for more information on implicit conversion
When needed, Oracle Database creates an underflow bucket numbered 0 and an overflow bucket numbered num_buckets
+1. These buckets handle values less than min_value
and more than max_value
and are helpful in checking the reasonableness of endpoints.
Examples
The following example creates a tenbucket histogram on the credit_limit
column for customers in Switzerland in the sample table oe.customers
and returns the bucket number ("Credit Group") for each customer. Customers with credit limits greater than or equal to the maximum value are assigned to the overflow bucket, 11:
SELECT customer_id, cust_last_name, credit_limit, WIDTH_BUCKET(credit_limit, 100, 5000, 10) "Credit Group" FROM customers WHERE nls_territory = 'SWITZERLAND' ORDER BY "Credit Group", customer_id, cust_last_name, credit_limit; CUSTOMER_ID CUST_LAST_NAME CREDIT_LIMIT Credit Group     825 Dreyfuss 500 1 826 Barkin 500 1 827 Siegel 500 1 853 Palin 400 1 843 Oates 700 2 844 Julius 700 2 835 Eastwood 1200 3 836 Berenger 1200 3 837 Stanton 1200 3 840 Elliott 1400 3 841 Boyer 1400 3 842 Stern 1400 3 848 Olmos 1800 4 849 Kaurusmdki 1800 4 828 Minnelli 2300 5 829 Hunter 2300 5 850 Finney 2300 5 851 Brown 2300 5 852 Tanner 2300 5 830 Dutt 3500 7 831 Bel Geddes 3500 7 832 Spacek 3500 7 833 Moranis 3500 7 834 Idle 3500 7 838 Nicholson 3500 7 839 Johnson 3500 7 845 Fawcett 5000 11 846 Brando 5000 11 847 Streep 5000 11