TRANSFORM Count(Details.Customer_ID) AS CountOfCustomer_ID
SELECT
Switch(
[Age] < 25, "Under 25",
[Age] >= 25 And [Age] <= 32, "Between 25 And 32",
[Age] >= 32 And [Age] <= 40, "Between 32 And 40",
[Age] >= 40 And [Age] <= 45, "Between 40 And 45",
[Age] > 45, "Over 45"
) AS Age_Range
FROM Details
INNER JOIN [Account Status] ON Details.Customer_ID = [Account Status].Customer_ID
WHERE ((([Account Status].Account_Status)='Active'))
GROUP BY Details.Age, [Account Status].Account_Status
PIVOT Details.site;
我的结果是计算这样的活跃帐户：
Age Range Site 1 Site 2 Site 3
----------------- ------ ------ ------
Under 25 1
Under 25 1
Between 25 And 32 1
Between 25 And 32 1
Between 25 And 32 1
Between 25 And 32 1
什么时候应该是这样的：
Age Range Site 1 Site 2 Site 3
----------------- ------ ------ ------
Under 25 2
Between 25 And 32 4
我也尝试过使用Switch语句进行分组，但它不起作用。请帮忙。
答案 0 :(得分：3)
其他人给出的答案在概念上是正确的。这是你可以使用的SQL
TRANSFORM Count(Details.Customer_ID) AS CountOfCustomer_ID
SELECT Switch(
[Age] < 25, "Under 25",
[Age] >= 25 And [Age] <= 32, "Between 25 And 32",
[Age] >= 32 And [Age] <= 40, "Between 32 And 40",
[Age] >= 40 And [Age] <= 45, "Between 40 And 45",
[Age] > 45, "Over 45"
) AS Age_Range
FROM details
INNER JOIN [Account Status]
ON details.customer_id = [Account Status].customer_id
WHERE (( ( [Account Status].account_status ) = 'Active' ))
GROUP BY Switch(
[Age] < 25, "Under 25",
[Age] >= 25 And [Age] <= 32, "Between 25 And 32",
[Age] >= 32 And [Age] <= 40, "Between 32 And 40",
[Age] >= 40 And [Age] <= 45, "Between 40 And 45",
[Age] > 45, "Over 45"
)
PIVOT Details.site;
如果您想使用内联查询来简化事情，那么这将起作用
TRANSFORM Count(Customer_ID) AS CountOfCustomer_ID
SELECT
Age_range
FROM
(
SELECT Switch(
[Age] < 25, "Under 25",
[Age] >= 25 And [Age] <= 32, "Between 25 And 32",
[Age] >= 32 And [Age] <= 40, "Between 32 And 40",
[Age] >= 40 And [Age] <= 45, "Between 40 And 45",
[Age] > 45, "Over 45"
) AS Age_Range, details.customer_id , details.site
FROM details
INNER JOIN [Account Status]
ON details.customer_id = [Account Status].customer_id
WHERE (( ( [Account Status].account_status ) = 'Active' )) ) t
GROUP BY Age_range
PIVOT site;
答案 1 :(得分：0)
你试过了吗？
GROUP BY Age_Range
答案 2 :(得分：0)
当您GROUP BY Details.Age时，结果将在运行SELECT语句之前组合在一起。所以你并没有真正按照自己的想法进行分组。相反，它是在原始时代进行分组。
因此，您希望将18,19和21组合在一起，它们实际上被分组到各自独立的组中。
您必须在GROUP BY之前获取Age_Range ....也许在SELECT的嵌套FROM语句中？
SELECT a.Age_Range, COUNT(*)
FROM
(TRANSFORM Count(Details.Customer_ID) AS CountOfCustomer_ID
SELECT
Switch(
[Age] < 25, "Under 25",
[Age] >= 25 And [Age] <= 32, "Between 25 And 32",
[Age] >= 32 And [Age] <= 40, "Between 32 And 40",
[Age] >= 40 And [Age] <= 45, "Between 40 And 45",
[Age] > 45, "Over 45"
) AS Age_Range
FROM Details
INNER JOIN [Account Status] ON Details.Customer_ID = [Account Status].Customer_ID
WHERE ((([Account Status].Account_Status)='Active'))
PIVOT Details.site) a
GROUP BY a.Age_Range
抱歉，我从未使用过TRANSFORM或PIVOT所以我不确定这是怎么回事。但你可以看到这个想法。嵌套SELECT抓取原始结果，然后外部SELECT执行GROUP BY。
答案 3 :(得分：0)
首先，我想指出你的范围条件不正确，它们是重叠的。
您定义的范围将导致32或40岁的某个人进入多个范围：
[Age] >= 25 And [Age] <= 32, "Between 25 And 32",
[Age] >= 32 And [Age] <= 40, "Between 32 And 40",
[Age] >= 40 And [Age] <= 45, "Between 40 And 45",
范围必须是：
[Age] >= 25 And [Age] <= 32, "Between 25 And 32",
[Age] > 32 And [Age] <= 40, "Between 33 And 40",
[Age] > 40 And [Age] <= 45, "Between 41 And 45",
免责声明：我没有MS Access，只有SQL Server，这意味着我无法使用TRANSFORM操作。我发布这个答案是为了演示在没有SWITCH语句的情况下获得所需结果的另一种方法。
创建年龄范围查找表，而不是使用SWITCH语句;如果您的年龄范围发生变化，这也有利于更新。
CREATE TABLE Age_Ranges
(
age_range_name VARCHAR(20) NOT NULL PRIMARY KEY,
age_lower TINYINT NOT NULL,
age_upper TINYINT NOT NULL
)
INSERT Age_Ranges(age_range_name, age_lower, age_upper) VALUES ('Under 25', 0, 24)
INSERT Age_Ranges(age_range_name, age_lower, age_upper) VALUES ('Between 25 And 32', 25, 32)
INSERT Age_Ranges(age_range_name, age_lower, age_upper) VALUES ('Between 33 And 40', 33, 40)
INSERT Age_Ranges(age_range_name, age_lower, age_upper) VALUES ('Between 41 And 45', 41, 45)
INSERT Age_Ranges(age_range_name, age_lower, age_upper) VALUES ('Over 45', 46, 120)
INSERT Age_Ranges(age_range_name, age_lower, age_upper) VALUES ('Error! Bad age data', 121, 255)
由于我无法使用TRANSFORM语句，因此我创建了一个矩阵表来执行转换。
CREATE TABLE Site_Matrix
(
site_nbr TINYINT NOT NULL PRIMARY KEY ,
site_1 TINYINT DEFAULT 0 NOT NULL,
site_2 TINYINT DEFAULT 0 NOT NULL,
site_3 TINYINT DEFAULT 0 NOT NULL
)
INSERT Site_Matrix(site_nbr,site_1) VALUES(1,1)
INSERT Site_Matrix(site_nbr,site_2) VALUES(2,1)
INSERT Site_Matrix(site_nbr,site_3) VALUES(3,1)
最后，一些客户测试数据。
CREATE TABLE Customer_Details
(
customer_id INT NOT NULL PRIMARY KEY,
customer_age TINYINT DEFAULT 255 NOT NULL,
customer_site tinyint DEFAULT 0 NOT NULL
)
INSERT Customer_Details(customer_id, customer_age, customer_site) VALUES(1, 18, 2)
INSERT Customer_Details(customer_id, customer_age, customer_site) VALUES(2, 19, 2)
INSERT Customer_Details(customer_id, customer_age, customer_site) VALUES(3, 25, 3)
INSERT Customer_Details(customer_id, customer_age, customer_site) VALUES(4, 27, 3)
INSERT Customer_Details(customer_id, customer_age, customer_site) VALUES(5, 29, 3)
INSERT Customer_Details(customer_id, customer_age, customer_site) VALUES(6, 32, 3)
使用这些表格可以获得此查询所需的结果。由于没有必要演示此方法，我已将联接遗漏到帐户状态：
SELECT age_range_name,
SUM(site_1) AS site_1,
SUM(site_2) AS site_2,
SUM(site_3) AS site_3
FROM Customer_Details INNER JOIN Age_Ranges
ON customer_age BETWEEN age_lower AND age_upper, Site_Matrix
WHERE customer_site = site_nbr
GROUP BY age_range_name
查询输出：
age_range_name site_1 site_2 site_3 Between 25 And 32 0 0 4 Under 25 0 2 0
我确信SQL需要更改才能在Access中运行，对不起，我希望这能为您提供一些解决问题的方法。