Google Analytics(分析)显示错误的用户数量 [英] Google analytics showing wrong number of users

问题描述

一个星期以来，我一直在新网站上使用Google Analytics(分析).我什么都没改变.我得到了代码，就像以前与其他网站一样，将其放置在自己的网站上.现在的问题是仪表板显示从昨天开始的用户数为1,200.我感到惊讶，因为我有更多.因此，我要做的就是更改图表以仅显示昨天的每小时用户数，然后将数据提取到CSV中. excel文件说我的用户是2,100，这是正确的，这就是该图在24小时内显示的内容(我也对它们进行了计算).

I'm using Google analytics since one week on a new website. I didn't change anything. I got the code and I placed it on my website like I did with other websites before. The problem now is the dashboard shows the number of users from yesturday is 1,200. I was surprised because I had more. So what I did is I changed the graph to show the number of users per hour for yesturday only and I extracted the data into CSV. The excel file says my users is 2,100 which is right and that's what the graph shows over 24 hours (I calculated them too).

所以我的问题是，为什么仪表板显示的用户数错误? (这不是每天，但如果您选择每周也有可能是错误的.)

So my question is why does the dashboard shows wrong number of users? (It's not daily, but if you select weekly there's a wrong too).

随附了yesturday的屏幕截图和CSV文件.

Attached are the screenshot and the CSV file from yesturday.

在这种情况下我该怎么办?

What can I do in this situation?

谢谢！

Hour Index  Users
0   77
1   52
2   39
3   24
4   14
5   10
6   15
7   27
8   51
9   71
10  98
11  142
12  123
13  138
14  133
15  121
16  141
17  142
18  130
19  125
20  118
21  122
22  103
23  108
    2,124

推荐答案

每小时的用户总数并非白天的总和. Google Anaytics每小时会告诉您该小时内网站上有多少用户.如果Tom在9:00 am和11:00 am都访问了您的网站，则他将在电子表格的第9行和第11行中将1位用户计为1位用户.但是，他当天将仅算作1位用户.

The users per hour do not sum up to the users during the day. Each hour, Google Anaytics tells you how many users there were on the site during that hour. If Tom visited your site at 9:00am and also at 11:00am, he would count 1 one user for both the rows 9 and 11 in your spreadsheet. But, he would only count as 1 user for the day.

以相同的方式工作几天和几周.如果每天增加用户，则通常少于一周的用户.因为某些用户可能会在一天以上的时间内访问您的网站.

Works the same way for days and weeks. If you add up the users each day, it will typically be less than the users for the week. Because some users likely visited your site on more than one day.

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