如何限定我的 Analytics 统计数据因素,例如不同的月份长度
例如,与 7 月相比,我 2 月的统计数据总是很奇怪,因为多了 2 或 3 天。
周末怎么样?我网站的客户都是办公室客户,因此周末几乎为零,那么我如何确定有 5 个周末的一个月(例如 5 月)的统计数据。
知道假期怎么样?
我知道每周工作四次可以解决其中一些问题,但我被要求提供每月的统计数据。
干杯,
For example my stats for Feb will always be wack when compared to to July because of the extra 2 or 3 days.
How about weekends? My website's customers are office based so weekends are virtually zero, so how do I qualify the stats for a month with 5 weekends (like May).
What about know holidays?
I know working on a four weekly basis will solve some of this but I'm asked for stats on a monthly basis.
Cheers,
如果你对这篇内容有疑问,欢迎到本站社区发帖提问 参与讨论,获取更多帮助,或者扫码二维码加入 Web 技术交流群。
绑定邮箱获取回复消息
由于您还没有绑定你的真实邮箱,如果其他用户或者作者回复了您的评论,将不能在第一时间通知您!
发布评论
评论(2)
访问次数除以工作日数?
似乎这会给你你正在寻找的统计数据。
Number of visits divided by the number of workdays?
Seems that would give you the statistic you're looking for.
在分析行业,我可以根据许多客户的经验告诉您,对于此类事情允许一定的误差幅度几乎是事实上的标准。
关于网络分析,需要记住的重要一点是它是基于趋势的。有太多的变数、不确定性和误差幅度,无法像这样小题大做。通过观察一段时间内的趋势,您将从网络分析中获得最大价值,这是该行业的经验法则。
Being in the Analytics industry, I can tell you from experience with many clients that it is pretty much the de facto standard to allow a certain margin of error for this sort of thing.
The important thing to remember about web analytics is that it is trend based. There are too many variables and uncertainties and margins of error to try and nickel and dime things like this. You will get the most value out of web analytics by looking at trends over time, that is the rule of thumb to live by in this business.