RANGE

Updated 2023-10-24 13:42:47.427000

Syntax

SELECT [westclintech].[wct].[RANGE] (
  <@x, float,>)

Description

Use the aggregate function RANGE to calculate the difference between the minimum and maximum values in a dataset.

Arguments

@x

the input values for the function. @x is an expression of type float or of a type that can be implicitly converted to float.

Return Type

float

Remarks

RANGE is an aggregate function and follows the same conventions as all other aggregate functions in SQL Server.

If there is only one value in the dataset, then the range is zero.

Examples

In this example, we calculate range for selected salary inforrmation collected from 10 cities.

SELECT wct.RANGE(salary) as [Range]

FROM

(

    VALUES

        ('New York', '429-00-6486', 236503),

        ('New York', '90-70-2526', 224472),

        ('New York', '87-85-0404', 139802),

        ('New York', '716-89-3089', 185287),

        ('New York', '159-78-5370', 211900),

        ('New York', '195-97-6820', 186703),

        ('New York', '95-49-2813', 167451),

        ('New York', '37-20-7422', 149462),

        ('New York', '44-48-0076', 214708),

        ('New York', '514-79-0041', 226485),

        ('Los Angeles', '526-34-4521', 196402),

        ('Los Angeles', '800-50-0868', 205359),

        ('Los Angeles', '41-34-3618', 195679),

        ('Los Angeles', '854-29-9398', 131925),

        ('Los Angeles', '673-30-3623', 171091),

        ('Los Angeles', '537-58-8889', 110217),

        ('Los Angeles', '808-68-4234', 192836),

        ('Los Angeles', '359-81-6735', 209346),

        ('Los Angeles', '731-80-2303', 182186),

        ('Los Angeles', '214-58-0842', 125355),

        ('Chicago', '456-79-9682', 183698),

        ('Chicago', '807-97-4784', 194282),

        ('Chicago', '981-16-3724', 156083),

        ('Chicago', '252-34-3054', 226619),

        ('Chicago', '613-28-9452', 153366),

        ('Chicago', '785-25-8628', 205709),

        ('Chicago', '451-26-7350', 206085),

        ('Chicago', '443-94-2401', 120587),

        ('Chicago', '696-26-8113', 171185),

        ('Chicago', '277-31-9760', 211160),

        ('Dallas', '537-88-7532', 245231),

        ('Dallas', '393-25-3503', 238733),

        ('Dallas', '612-17-0712', 103152),

        ('Dallas', '384-93-7285', 228842),

        ('Dallas', '745-10-7587', 154749),

        ('Dallas', '950-20-4045', 102156),

        ('Dallas', '477-48-7550', 196533),

        ('Dallas', '427-52-8597', 238970),

        ('Dallas', '891-19-0810', 245204),

        ('Dallas', '564-79-7612', 196946),

        ('Boston', '216-84-7134', 128035),

        ('Boston', '515-84-4073', 249093),

        ('Boston', '92-43-5775', 205026),

        ('Boston', '144-08-1092', 198120),

        ('Boston', '469-14-5012', 174143),

        ('Boston', '379-92-8313', 166215),

        ('Boston', '71-22-5132', 105058),

        ('Boston', '257-39-0324', 107247),

        ('Boston', '611-57-4279', 118561),

        ('Boston', '956-53-2865', 232789),

        ('Denver', '711-81-0072', 240720),

        ('Denver', '673-39-5028', 159706),

        ('Denver', '554-33-3980', 232493),

        ('Denver', '770-03-5304', 203310),

        ('Denver', '732-47-5077', 123106),

        ('Denver', '573-18-3567', 149999),

        ('Denver', '93-92-0334', 162657),

        ('Denver', '424-76-1468', 116322),

        ('Denver', '403-47-0063', 246058),

        ('Denver', '460-58-1833', 198043),

        ('Miami', '221-04-4153', 130962),

        ('Miami', '179-09-9839', 227246),

        ('Miami', '564-76-9437', 144027),

        ('Miami', '407-48-4081', 138549),

        ('Miami', '526-79-1840', 208006),

        ('Miami', '72-68-4977', 170109),

        ('Miami', '235-72-3903', 191669),

        ('Miami', '436-62-0474', 161164),

        ('Miami', '430-52-3914', 162507),

        ('Miami', '459-27-5541', 238972),

        ('Phoenix', '576-38-4531', 238281),

        ('Phoenix', '65-64-1278', 197678),

        ('Phoenix', '880-29-1997', 159183),

        ('Phoenix', '304-72-1881', 194733),

        ('Phoenix', '61-20-1046', 221045),

        ('Phoenix', '64-95-5514', 105577),

        ('Phoenix', '262-63-4021', 186399),

        ('Phoenix', '661-84-1023', 234974),

        ('Phoenix', '892-31-4821', 115076),

        ('Phoenix', '319-91-9463', 239548),

        ('San Franciso', '136-67-6873', 148829),

        ('San Franciso', '5-41-7374', 114161),

        ('San Franciso', '381-26-8852', 232509),

        ('San Franciso', '620-64-6243', 112686),

        ('San Franciso', '128-33-5550', 208679),

        ('San Franciso', '422-00-0156', 107685),

        ('San Franciso', '370-98-5607', 133224),

        ('San Franciso', '91-58-9543', 218955),

        ('San Franciso', '911-35-0448', 187826),

        ('San Franciso', '734-65-1268', 223683),

        ('Atlanta', '334-97-0585', 240384),

        ('Atlanta', '405-12-4222', 124350),

        ('Atlanta', '43-05-7567', 233836),

        ('Atlanta', '882-97-7996', 134091),

        ('Atlanta', '368-91-4292', 173787),

        ('Atlanta', '408-04-5921', 140769),

        ('Atlanta', '232-13-5280', 206307),

        ('Atlanta', '88-41-2584', 118159),

        ('Atlanta', '539-03-7548', 116718),

        ('Atlanta', '587-63-6935', 174801)

) p (city, id, salary);

This produces the following result.

{"columns":[{"field":"Range","headerClass":"ag-right-aligned-header","cellClass":"ag-right-aligned-cell"}],"rows":[{"Range":"146937"}]}

In this example we will calculate the range in each city.

SELECT city,

       wct.RANGE(salary) as [Range]

FROM

(

    VALUES

        ('New York', '429-00-6486', 236503),

        ('New York', '90-70-2526', 224472),

        ('New York', '87-85-0404', 139802),

        ('New York', '716-89-3089', 185287),

        ('New York', '159-78-5370', 211900),

        ('New York', '195-97-6820', 186703),

        ('New York', '95-49-2813', 167451),

        ('New York', '37-20-7422', 149462),

        ('New York', '44-48-0076', 214708),

        ('New York', '514-79-0041', 226485),

        ('Los Angeles', '526-34-4521', 196402),

        ('Los Angeles', '800-50-0868', 205359),

        ('Los Angeles', '41-34-3618', 195679),

        ('Los Angeles', '854-29-9398', 131925),

        ('Los Angeles', '673-30-3623', 171091),

        ('Los Angeles', '537-58-8889', 110217),

        ('Los Angeles', '808-68-4234', 192836),

        ('Los Angeles', '359-81-6735', 209346),

        ('Los Angeles', '731-80-2303', 182186),

        ('Los Angeles', '214-58-0842', 125355),

        ('Chicago', '456-79-9682', 183698),

        ('Chicago', '807-97-4784', 194282),

        ('Chicago', '981-16-3724', 156083),

        ('Chicago', '252-34-3054', 226619),

        ('Chicago', '613-28-9452', 153366),

        ('Chicago', '785-25-8628', 205709),

        ('Chicago', '451-26-7350', 206085),

        ('Chicago', '443-94-2401', 120587),

        ('Chicago', '696-26-8113', 171185),

        ('Chicago', '277-31-9760', 211160),

        ('Dallas', '537-88-7532', 245231),

        ('Dallas', '393-25-3503', 238733),

        ('Dallas', '612-17-0712', 103152),

        ('Dallas', '384-93-7285', 228842),

        ('Dallas', '745-10-7587', 154749),

        ('Dallas', '950-20-4045', 102156),

        ('Dallas', '477-48-7550', 196533),

        ('Dallas', '427-52-8597', 238970),

        ('Dallas', '891-19-0810', 245204),

        ('Dallas', '564-79-7612', 196946),

        ('Boston', '216-84-7134', 128035),

        ('Boston', '515-84-4073', 249093),

        ('Boston', '92-43-5775', 205026),

        ('Boston', '144-08-1092', 198120),

        ('Boston', '469-14-5012', 174143),

        ('Boston', '379-92-8313', 166215),

        ('Boston', '71-22-5132', 105058),

        ('Boston', '257-39-0324', 107247),

        ('Boston', '611-57-4279', 118561),

        ('Boston', '956-53-2865', 232789),

        ('Denver', '711-81-0072', 240720),

        ('Denver', '673-39-5028', 159706),

        ('Denver', '554-33-3980', 232493),

        ('Denver', '770-03-5304', 203310),

        ('Denver', '732-47-5077', 123106),

        ('Denver', '573-18-3567', 149999),

        ('Denver', '93-92-0334', 162657),

        ('Denver', '424-76-1468', 116322),

        ('Denver', '403-47-0063', 246058),

        ('Denver', '460-58-1833', 198043),

        ('Miami', '221-04-4153', 130962),

        ('Miami', '179-09-9839', 227246),

        ('Miami', '564-76-9437', 144027),

        ('Miami', '407-48-4081', 138549),

        ('Miami', '526-79-1840', 208006),

        ('Miami', '72-68-4977', 170109),

        ('Miami', '235-72-3903', 191669),

        ('Miami', '436-62-0474', 161164),

        ('Miami', '430-52-3914', 162507),

        ('Miami', '459-27-5541', 238972),

        ('Phoenix', '576-38-4531', 238281),

        ('Phoenix', '65-64-1278', 197678),

        ('Phoenix', '880-29-1997', 159183),

        ('Phoenix', '304-72-1881', 194733),

        ('Phoenix', '61-20-1046', 221045),

        ('Phoenix', '64-95-5514', 105577),

        ('Phoenix', '262-63-4021', 186399),

        ('Phoenix', '661-84-1023', 234974),

        ('Phoenix', '892-31-4821', 115076),

        ('Phoenix', '319-91-9463', 239548),

        ('San Franciso', '136-67-6873', 148829),

        ('San Franciso', '5-41-7374', 114161),

        ('San Franciso', '381-26-8852', 232509),

        ('San Franciso', '620-64-6243', 112686),

        ('San Franciso', '128-33-5550', 208679),

        ('San Franciso', '422-00-0156', 107685),

        ('San Franciso', '370-98-5607', 133224),

        ('San Franciso', '91-58-9543', 218955),

        ('San Franciso', '911-35-0448', 187826),

        ('San Franciso', '734-65-1268', 223683),

        ('Atlanta', '334-97-0585', 240384),

        ('Atlanta', '405-12-4222', 124350),

        ('Atlanta', '43-05-7567', 233836),

        ('Atlanta', '882-97-7996', 134091),

        ('Atlanta', '368-91-4292', 173787),

        ('Atlanta', '408-04-5921', 140769),

        ('Atlanta', '232-13-5280', 206307),

        ('Atlanta', '88-41-2584', 118159),

        ('Atlanta', '539-03-7548', 116718),

        ('Atlanta', '587-63-6935', 174801)

) p (city, id, salary)

GROUP BY city;

This produces the following result.

{"columns":[{"field":"city"},{"field":"Range","headerClass":"ag-right-aligned-header","cellClass":"ag-right-aligned-cell"}],"rows":[{"city":"Atlanta","Range":"123666"},{"city":"Boston","Range":"144035"},{"city":"Chicago","Range":"106032"},{"city":"Dallas","Range":"143075"},{"city":"Denver","Range":"129736"},{"city":"Los Angeles","Range":"99129"},{"city":"Miami","Range":"108010"},{"city":"New York","Range":"96701"},{"city":"Phoenix","Range":"133971"},{"city":"San Franciso","Range":"124824"}]}

In this example, we only select those cities where the inter-quartile range, using the inclusive method, is less than 100,000.

SELECT city,

       wct.RANGE(salary) as [Range]

FROM

(

    VALUES

        ('New York', '429-00-6486', 236503),

        ('New York', '90-70-2526', 224472),

        ('New York', '87-85-0404', 139802),

        ('New York', '716-89-3089', 185287),

        ('New York', '159-78-5370', 211900),

        ('New York', '195-97-6820', 186703),

        ('New York', '95-49-2813', 167451),

        ('New York', '37-20-7422', 149462),

        ('New York', '44-48-0076', 214708),

        ('New York', '514-79-0041', 226485),

        ('Los Angeles', '526-34-4521', 196402),

        ('Los Angeles', '800-50-0868', 205359),

        ('Los Angeles', '41-34-3618', 195679),

        ('Los Angeles', '854-29-9398', 131925),

        ('Los Angeles', '673-30-3623', 171091),

        ('Los Angeles', '537-58-8889', 110217),

        ('Los Angeles', '808-68-4234', 192836),

        ('Los Angeles', '359-81-6735', 209346),

        ('Los Angeles', '731-80-2303', 182186),

        ('Los Angeles', '214-58-0842', 125355),

        ('Chicago', '456-79-9682', 183698),

        ('Chicago', '807-97-4784', 194282),

        ('Chicago', '981-16-3724', 156083),

        ('Chicago', '252-34-3054', 226619),

        ('Chicago', '613-28-9452', 153366),

        ('Chicago', '785-25-8628', 205709),

        ('Chicago', '451-26-7350', 206085),

        ('Chicago', '443-94-2401', 120587),

        ('Chicago', '696-26-8113', 171185),

        ('Chicago', '277-31-9760', 211160),

        ('Dallas', '537-88-7532', 245231),

        ('Dallas', '393-25-3503', 238733),

        ('Dallas', '612-17-0712', 103152),

        ('Dallas', '384-93-7285', 228842),

        ('Dallas', '745-10-7587', 154749),

        ('Dallas', '950-20-4045', 102156),

        ('Dallas', '477-48-7550', 196533),

        ('Dallas', '427-52-8597', 238970),

        ('Dallas', '891-19-0810', 245204),

        ('Dallas', '564-79-7612', 196946),

        ('Boston', '216-84-7134', 128035),

        ('Boston', '515-84-4073', 249093),

        ('Boston', '92-43-5775', 205026),

        ('Boston', '144-08-1092', 198120),

        ('Boston', '469-14-5012', 174143),

        ('Boston', '379-92-8313', 166215),

        ('Boston', '71-22-5132', 105058),

        ('Boston', '257-39-0324', 107247),

        ('Boston', '611-57-4279', 118561),

        ('Boston', '956-53-2865', 232789),

        ('Denver', '711-81-0072', 240720),

        ('Denver', '673-39-5028', 159706),

        ('Denver', '554-33-3980', 232493),

        ('Denver', '770-03-5304', 203310),

        ('Denver', '732-47-5077', 123106),

        ('Denver', '573-18-3567', 149999),

        ('Denver', '93-92-0334', 162657),

        ('Denver', '424-76-1468', 116322),

        ('Denver', '403-47-0063', 246058),

        ('Denver', '460-58-1833', 198043),

        ('Miami', '221-04-4153', 130962),

        ('Miami', '179-09-9839', 227246),

        ('Miami', '564-76-9437', 144027),

        ('Miami', '407-48-4081', 138549),

        ('Miami', '526-79-1840', 208006),

        ('Miami', '72-68-4977', 170109),

        ('Miami', '235-72-3903', 191669),

        ('Miami', '436-62-0474', 161164),

        ('Miami', '430-52-3914', 162507),

        ('Miami', '459-27-5541', 238972),

        ('Phoenix', '576-38-4531', 238281),

        ('Phoenix', '65-64-1278', 197678),

        ('Phoenix', '880-29-1997', 159183),

        ('Phoenix', '304-72-1881', 194733),

        ('Phoenix', '61-20-1046', 221045),

        ('Phoenix', '64-95-5514', 105577),

        ('Phoenix', '262-63-4021', 186399),

        ('Phoenix', '661-84-1023', 234974),

        ('Phoenix', '892-31-4821', 115076),

        ('Phoenix', '319-91-9463', 239548),

        ('San Franciso', '136-67-6873', 148829),

        ('San Franciso', '5-41-7374', 114161),

        ('San Franciso', '381-26-8852', 232509),

        ('San Franciso', '620-64-6243', 112686),

        ('San Franciso', '128-33-5550', 208679),

        ('San Franciso', '422-00-0156', 107685),

        ('San Franciso', '370-98-5607', 133224),

        ('San Franciso', '91-58-9543', 218955),

        ('San Franciso', '911-35-0448', 187826),

        ('San Franciso', '734-65-1268', 223683),

        ('Atlanta', '334-97-0585', 240384),

        ('Atlanta', '405-12-4222', 124350),

        ('Atlanta', '43-05-7567', 233836),

        ('Atlanta', '882-97-7996', 134091),

        ('Atlanta', '368-91-4292', 173787),

        ('Atlanta', '408-04-5921', 140769),

        ('Atlanta', '232-13-5280', 206307),

        ('Atlanta', '88-41-2584', 118159),

        ('Atlanta', '539-03-7548', 116718),

        ('Atlanta', '587-63-6935', 174801)

) p (city, id, salary)

GROUP BY city

HAVING wct.RANGE(salary) < 100000;

This produces the following result.

{"columns":[{"field":"city"},{"field":"Range","headerClass":"ag-right-aligned-header","cellClass":"ag-right-aligned-cell"}],"rows":[{"city":"Los Angeles","Range":"99129"},{"city":"New York","Range":"96701"}]}

In this example we calculate range for a variety of data groupings, including one NULL value and a GROUP that only contains one member.

SELECT dsc,

       wct.RANGE(x) as [Range]

FROM

(

    VALUES

        ('ABC', 15),

        ('ABC', 20),

        ('ABC', 35),

        ('ABC', 40),

        ('ABC', 50),

        ('DEF', 7),

        ('DEF', 10),

        ('DEF', 17),

        ('DEF', 20),

        ('DEF', 25),

        ('DEF', 70),

        ('GHI', 21),

        ('GHI', 28),

        ('GHI', NULL),

        ('GHI', 38),

        ('GHI', 31),

        ('GHI', 52),

        ('JKL', 37)

) p (dsc, x)

GROUP BY dsc;

This produces the following result.

{"columns":[{"field":"dsc"},{"field":"Range","headerClass":"ag-right-aligned-header","cellClass":"ag-right-aligned-cell"}],"rows":[{"dsc":"ABC","Range":"35"},{"dsc":"DEF","Range":"63"},{"dsc":"GHI","Range":"31"},{"dsc":"JKL","Range":"0"}]}