常规浏览器显示统计信息
我需要提供一些有关浏览器显示(分辨率)统计数据的数据。 显然有 W3 Schools,但他们表示这些是他们网站的结果,并且偏向于精通技术的用户。 有谁知道一些本质上更普遍的统计数据? 他们需要是可信的。
I need to come up with some figures on browser display (resolution) statistics. Obviously there is W3 Schools, however they state that these are results from their site and is biased towards tech savvy users. Does anyone know of some stats that are more general in nature? They need to be credible.
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我通常只是用谷歌搜索“浏览器统计信息”并使用出现的最上面的那些。 尽管 W3Schools 只收集了全球流量的一小部分,但其还是相当准确的。 W3Counter (http://www.w3counter.com/globalstats.php) 是另一个不错的。
I usually just google for "Browser Statistics" and use the top ones that appear. W3Schools is fairly accurate even though they are only gathering a small percentage of the world's traffic. W3Counter (http://www.w3counter.com/globalstats.php) is another good one.
不幸的是,到目前为止,所有答案都给出了屏幕分辨率,而不是所请求的浏览器显示/分辨率。 它们是两个不同的实体。 并非每个人都在 1920x1080 显示器上将浏览器打开为 1920x1080。
没有关于浏览器显示尺寸的实际统计数据(我可以找到)。 这可能有助于解释: https://css-tricks.com/screen-分辨率注意等于浏览器窗口/
unfortunately all the answers so far are giving SCREEN resolution and not the requested BROWSER display/resolution. They are two different entities. Not everyone has their browser open to 1920x1080 on their 1920x1080 monitor.
There are no actual statistics (that I can find) on BROWSER display size. This might help with explanations: https://css-tricks.com/screen-resolution-notequalto-browser-window/
好吧,如果您想要与现有网站相关的统计信息,Google Analytics 可以跟踪安装该网站的任何网站的此类信息。
您还可以查看 W3Counter 的 全球统计 页面,该页面显示了 15,000 条之类的汇总数据使用其跟踪服务的不同网站。
Well, if you're wanting statistics relevant to an existing site, Google Analytics includes tracking of such info for whatever site it's installed on.
You can also take a look at W3Counter's global stats page, which displays aggregate data from something like 15,000 different sites that use their tracking services.
我知道这是一个相当老的问题,尽管如此,我今天也有同样的问题,并且找不到任何“好的”和当前的数字,所以我给出了德国 100 个排名前 100 的网站之一的统计数据。 这些统计数据基于 GoogleAnalytics 的原始数据,并根据 264,069,927 次页面浏览量编制而成,但请注意,该网站的受众主要来自欧洲国家(虽然它也有相当多的来自世界各地的访问者)。 这是一个与工作相关的网站(没有游戏,没有新闻)
我将在同一网站上注明浏览器窗口分辨率和显示分辨率作为参考。
首先,宽度:
这是高度:
至少 org/wiki/Display_resolution" rel="nofollow">https://en.wikipedia.org/wiki/Display_resolution 作为参考
最后两个注意事项:
I know this is a fairly old question, nonetheless I had the same question today and couldn't find any "good" and current numbers, so I'm giving out stats from one of the top 100 sites in Germany. The stats are based on the raw numbers from GoogleAnalytics and have been compiled from 264,069,927 page-views but be aware that the audience of that site is dominantly coming from European countries (while it does have also quite some visitors from all over the world). It's a work-related site (no gaming, no news)
I'll state the browser window resolution and the display resolution on the same site as reference.
First, the width:
And here is the height:
I took the "Common display resolutions" from https://en.wikipedia.org/wiki/Display_resolution as reference
Two final notes:
最好的免费统计数据来自 http://gs.statcounter.com/ #分辨率-ww-monthly-200912-201012
可定制范围精确至 30 天。 还包括其他浏览器统计信息。
Best free stats are going to be from http://gs.statcounter.com/#resolution-ww-monthly-200912-201012
Customizable range is accurate to 30 days. Also includes other browser stats.
大不。 W3 统计数据显示 W3 访客,即使他们声称这不具有代表性。
Big no. W3 stats show W3 visitors, and even they state, that it is not representative.
首先,我会选择 W3Counter。 目前,它显示了基于 75.676 个使用 W3Counter 的站点的统计数据。 例如,请参阅 http://www.w3counter.com/globalstats.php? year=2014&month=5 表示 2014 年 5 月。
然后是 StatCounter。 他们还收集使用其分析工具的网站的数据,他们的市场份额约占所有网站的 2%。 可以在此处找到统计信息 http://gs.statcounter.com/。
如果您现在合并这两个统计数据,您将得到一个真正可信的统计数据,它几乎代表了现实(尽管统计数据无论如何都有几乎相同的值)。
First, I would go for the W3Counter. At the moment, it shows the statistics based on 75.676 sites which use the W3Counter. For example see http://www.w3counter.com/globalstats.php?year=2014&month=5 for May 2014.
Then, there is the StatCounter. They also collect data of web sites which use their analytics tool and they have a market share about 2% of all web sites. The statistics can be found here http://gs.statcounter.com/.
If you now merge these two statistics, you would get a really credible statistic which will nearly represent the reality (although the statistics have nearly the same values anyway).