6.2 普通分组:按表达式
有数据如下:
ID | Name | Sales |
---|---|---|
010010001 | Tom | 7,588,420 |
010010002 | John | 8,953,172 |
010010003 | Joan | 6,276,185 |
020010004 | Rocky | 1,281,280 |
020010005 | Ham | 2,686,043 |
020010006 | Kate | 5,851,210 |
020010007 | Rose | 292,254 |
030020008 | Nomy | 8,216,267 |
030020009 | Neil | 5,143,192 |
030020010 | Jack | 3,206,181 |
030020011 | Joe | 5,536,126 |
030020012 | Peter | 6,176,479 |
040020013 | Sunny | 7,319,085 |
040020014 | Tiger | 2,392,104 |
040020015 | Alice | 446,324 |
040020016 | Cindy | 5,137,729 |
040020017 | Leon | 9,663,806 |
050030018 | Lily | 4,265,516 |
050030019 | Kevin | 8,447,330 |
050030020 | Shelly | 5,781,475 |
050030021 | Panzy | 1,917,614 |
050030022 | Maggie | 3,979,820 |
050030023 | Mark | 4,250,158 |
050030024 | Aileen | 8,215,770 |
按 ID 的前两位分组汇总,计算总销售额。
脚本:
A | |
---|---|
1 | =T(“Sales.xls”) |
2 | =A1.groups(left(ID,2):ID;sum(Sales):Sales) |
3 | =A1.group(left(ID,2):ID;~.sum(Sales):Sales) |
A2 分组的同时进行聚合运算,不产生分组子集
A3 先产生分组子集,再对子集做聚合运算,结果和 A2 相同
运行结果:
ID | Sales |
---|---|
01 | 22,817,777 |
02 | 10,110,787 |
03 | 28,278,245 |
04 | 24,959,048 |
05 | 36,857,683 |