在 MS Access 中透视数据 [英] Pivoting data in MS Access

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本文介绍了在 MS Access 中透视数据的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我创建了一个查询,用于提取他们在一个月内使用的学生 ID 和膳食项目.我想计算一个学生在一个月内吃的每个项目(早餐、午餐、小吃)的数量.

I have a query that I've created to pull student IDs and meal items they have taken over a month long period. I would like to count the numbers of each item (Breakfast, Lunch, Snack) taken by a student over the course of the month.

在数据透视表报告中似乎有太多数据无法处理,所以我希望有一个我可以运行的 SQL 查询.

It appears there's too much data for access to handle in a Pivot Table report, so I was hoping there was a SQL query I could run instead.

这是我创建的当前查询:

Here's the current query I've created:

SELECT April2013.SID, MenuItems.MealType AS Apr2013Meal  
FROM April2013 LEFT JOIN MenuItems ON MenuItems.Item=April2013.Item;  

当前输出:

+-----+-----------+  
| SID |   Meal    |  
+-----+-----------+  
| 001 | Lunch     |  
| 002 | Lunch     |  
| 003 | Breakfast |  
| 004 | Snack     |  
| 005 | Lunch     |
| 006 | Lunch     |  
| 001 | Breakfast |  
| 003 | Snack     |  
| 004 | Breakfast |  
+-----+-----------+

这是我想要的样子:

+-----+-----------+-------+---------+  
| SID | Breakfast | Lunch | Snack   |  
+-----+-----------+-------+---------+  
| 001 |         3 |    10 |     1   |  
| 002 |         4 |     8 |    10   |  
| 003 |        18 |     2 |     7   |  
| 004 |         6 |     7 |     2   |  
+-----+-----------+-------+---------+  

推荐答案

您可以使用 TRANSFORM 对数据进行透视:

You can pivot the data using TRANSFORM:

TRANSFORM COUNT(MenuItems.MealType)
SELECT April2013.SID, MenuItems.MealType
FROM April2013 
LEFT JOIN MenuItems 
  ON MenuItems.Item=April2013.Item
GROUP BY April2013.SID
PIVOT MenuItems.MealType; 

这篇关于在 MS Access 中透视数据的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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