Question

我在MS Access 2003中工作。

我有表格，记录了这种结构：

ID, Origin, Destination, Attr1, Attr2, Attr3, ... AttrX

for example:

1,  1000,   1100,        20,    M,     5 ...
2,  1000,   1105,        30,    F,     5 ...
3,  1001,   1000,        15,    M,     10 ...
...

我还有一个表格，其中包含了原始和目的地代码分组

Code, Country, Continent
1000, Albania, Europe
1001, Belgium, Europe
...
1100, China,   Asia
1105, Japan,   Asia
...

我需要的是获得2个表，这些表将根据与我指定的属性相关的标准计算记录，但按以下方式分组：
1.原产地大陆和目的地大陆
2.原始大陆和目的地国家

例如：

案例1.

Origin, Destination, Total, Females, Males, Older than 20, Younger than 20, ...
Europe, China,       300,   100,     200,   120,           180 ...
Europe, Japan,       150,   100,     50, ...
...

案例2.

Origin, Destination, Total, Females, Males, Older than 20, Younger than 20, ...
Europe, Asia,        1500,  700,     800 ...
Asia,   Europe,      1200, ...
...

可以这样做，这样我就可以轻松地添加更多列/标准吗？

Answer 1

案例1：

select count(1) as total ,t2.continent,t3.country,t1.attr1,t1.attr2,t1.attr3 ... t1.attrX from table1 t1
join table2 t2 on t1.origin = t2.code
join table3 t3 on t1.destination = t3.code
group by t2.continent,t3.country,t1.attr1,t1.attr2,t1.attr3 ... t1.attrX 
order by total desc

案例2：

select count(1) as total ,t2.continent,t3.continent,t1.attr1,t1.attr2,t1.attr3 ... t1.attrX from table1 t1
join table2 t2 on t1.origin = t2.code
join table3 t3 on t1.destination = t3.code
group by t2.continent,t3.continent,t1.attr1,t1.attr2,t1.attr3 ... t1.attrX 
order by total desc

Answer 2

您可以使用查询加入查询，因此这是男/女（attr2）的交叉表

TRANSFORM Count(Data.ID) AS CountOfID
SELECT Data.Origin, Data.Destination, Count(Data.ID) AS Total
FROM Data
GROUP BY Data.Origin, Data.Destination
PIVOT Data.Attr2;

这是年龄：

TRANSFORM Count(Data.ID) AS CountOfID
SELECT Data.Origin, Data.Destination, Count(Data.ID) AS Total
FROM Data
GROUP BY Data.Origin, Data.Destination
PIVOT Partition([Attr1],10,100,10);

这结合了两者：

SELECT Ages.Origin, Ages.Destination, Ages.Total,
       MF.F, MF.M, Ages.[10: 19], Ages.[20: 29], Ages.[30: 39]
FROM Ages, MF;

如您所见，这可以更容易在VBA中管理。

SQL 2表，首先获取计数，然后逐个计数

2 个答案: