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计算每个事件在 google data studio 中每 session 发生的平均次数

[英]Calculate the average times each event occurs per session in google data studio

For our web we have set up a number of events we track in Google Analytics.对于我们的 web,我们设置了许多在 Google Analytics 中跟踪的事件。 The events are tracked with event category, event action and event label. I have set up a table in Google Data Studio where I show all these events with the total number each event has occurred ("Total Events" value) in the time span selected.事件通过事件类别、事件操作和事件 label 进行跟踪。我在 Google Data Studio 中设置了一个表格,其中显示了所有这些事件以及所选时间跨度内每个事件发生的总数(“总事件”值) . Event category, action and label becomes the dimensions of the table and Total events is the metric.事件类别、操作和 label 成为表的维度,总事件数是指标。

What I want to do now is to calculate the average count of each event per session. So if we have tracked a total of 1000 sessions in the time span and one event has occurred 100 times I want to add a column displaying the value 0.1.我现在想要做的是计算每个事件的平均计数 session。因此,如果我们在时间跨度内跟踪了总共 1000 个会话并且一个事件发生了 100 次,我想添加一个显示值 0.1 的列。 However the value for metric "Sessions" will of course be based on the dimensions set up for the table so the value on each row will be the number of sessions where that specific event has occurred meaning the number of sessions is different on each row and not the actual total.然而,指标“会话”的值当然将基于为表格设置的维度,因此每行的值将是发生该特定事件的会话数,这意味着每行的会话数不同,并且不是实际总数。

I have been trying for a while to find a way around this and googled for hours but have not been able to find a solution.我已经尝试了一段时间来寻找解决方法,并在谷歌上搜索了几个小时,但一直未能找到解决方案。 Perhaps it is not possible but I would like to hear if you know a way it can be done.也许这是不可能的,但我想听听您是否知道可以做到的方法。

The key is blend data (this link was help) of the same data source and them you can compare de timestamp.关键是同一数据源的混合数据(此链接有帮助),您可以比较它们的时间戳。

DATETIME_DIFF(event_timestamp (Onb_sin_IngresoCel),event_timestamp (IngresoCelular),SECOND)

With that I could calculate de difference between on event and a group of other making a funnel.有了它,我可以计算出事件和其他一组制作漏斗之间的差异。

Funnel漏斗

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