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如何对不熟悉的行进行分组?

[英]How can I group rows that aren't familiar?

My data looks like this: http://sqlfiddle.com/#!2/1266b2/1 我的数据如下所示: http//sqlfiddle.com/#!2/1266b2/1

But I want it to look like: 但我希望它看起来像:

+------------+------+---+
| 2015-01-01 | walk | 1 |
| 2015-01-01 | run  | 0 |
| 2015-01-01 | bike | 0 |
| 2015-01-02 | walk | 0 |
| 2015-01-02 | run  | 0 |
| 2015-01-02 | bike | 0 |
| 2015-01-03 | walk | 0 |
| 2015-01-03 | run  | 1 |
| 2015-01-03 | bike | 0 |
| 2015-01-04 | walk | 0 |
| 2015-01-04 | run  | 0 |
| 2015-01-04 | bike | 0 |
| 2015-01-05 | walk | 0 |
| 2015-01-05 | run  | 1 |
| 2015-01-05 | bike | 0 |
+------------+------+---+

Each day should have a collection of how many occurrences of each event response happened. 每天应该收集每个事件响应发生的次数。

  • The dates are collected from a calendar table and are thus purely static. 日期是从日历表中收集的,因此纯粹是静态的。
  • The event names are numerous and likely to change. 事件名称很多,可能会发生变化。
  • Event responses join events for name and other context rules. 事件响应为名称和其他上下文规则加入事件。

Would be a big help to figure this out. 想出这个将是一个很大的帮助。 At least offer tips for better title (search terms) so I can figure out how to resolve this issue. 至少提供更好的标题(搜索条件)的提示,以便我可以弄清楚如何解决这个问题。

This is for processing graphs at activezoo.com . 这是为了处理activezoo.com上的图表。 Any advice for other approaches or methods for analyzing data is very welcome. 对于分析数据的其他方法或方法的任何建议都是非常受欢迎的。

It sounds like you want every date/event combination and you want to count the # of event responses. 听起来您想要每个日期/事件组合,并且您想要计算事件响应数。 If so, use a cross join between the calendar and the event table to get every combination and then left join to the event_responses table and count a column from that table so you only count matches. 如果是这样,请使用calendarevent表之间的cross join来获取每个组合,然后将其left joinevent_responses表并计算该表中的列,以便您只计算匹配。

SELECT calendar.date AS date, events.name AS event, COUNT(event_responses.date) AS count 
FROM events
CROSS JOIN calendar
LEFT JOIN event_responses ON event_responses.event_id = events.id
AND event_responses.date = calendar.date
GROUP BY calendar.date, event
ORDER BY calendar.date, event

http://sqlfiddle.com/#!2/d2560/1 http://sqlfiddle.com/#!2/d2560/1

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