tealeaf web analytics

recently learning to use the Scrapy framework to develop a Python crawler, use XPath to get the URL path. Because there are too many tags in html, it is always hard to find an XPath path, and sometimes error-prone, resulting in wasted time and energy. Looking at an article today, I accidentally saw a spider web analytics tool in chrome that used a sense of feeling, so hopefully it will help more Python craw

under the variousThe level of the page. Therefore, it is simpler and more efficient than the algorithm based on the granularity of web pages, but it will bring some missingPoints, such as accuracy, are less accurate than web page granularity based analysis algorithms.3 Web page analysis algorithm based on Web contentI

Almost every SEO knows the concept of ueo, yes, is the user Experience degree optimization. But a lot of SEO does not know how to do can be used as a page user experience degree standards. Ip\pv\uv\ jump rate, these familiar nouns are as important indicators of UEO analysis. These metrics typically come from third-party statistical tools so that you do not use log viewer, such as Web Log Explorer, to view logs and then analyze them artificially. While

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Where To_date (To_localtime (To_timestamp (Date))) =timestamp (' 10/08/2010 ', ' mm/dd/yyyy '). Splitting files By default, IIS produces a log file every day. For some particularly busy websites, IIS log files can be very large. I used to have a client with 2 grams per log file. Such a large file is very slow to analyze with logparser, and it is easy to make an error. The solution is to split the log file into a number of small files for analysis separately. The

Today said cookie value in the promotion of the role of the Web site analysis, I think in the website marketing activities is a very important aspect. Because this piece of data will directly reflect the quality of the activities of the site, and will lead the direction of marketing activities and improvement. A reorientation of the use of the website. Site analysis of the site's activities and activities of the conversion rate plays an important rol

All along, analysis and reporting have been on a general level, and it will be difficult to see what has an important or critical impact on your specific business. In fact, different types of visitors come to a Web site, they have the same intentions and role models. Obviously "subdivision" is the most important part of the analysis, which I have always kept in mind and have been mentioned in the blog. So how to subdivide, Google

Almost every SEO knows the concept of ueo, yes, is the user Experience degree optimization. But a lot of SEO does not know how to do can be used as a page user experience degree standards. Ip\pv\uv\ jump rate, these familiar nouns are as important indicators of UEO analysis. These metrics typically come from third-party statistical tools so that you do not use log viewer, such as Web Log Explorer, to view logs and then analyze them artificially. While

Bounce rate is a more interesting measure in website analysis, and also a measure that Avinash Kaushik individual prefers, and there are more discussions on it online. Individuals prefer Sidney translations-failure rates, transliteration and transliteration. It was always thought that the definition of bounce rate is to browse only a single page of the total access rate, whether it is Google Analytics "single PV visits/total Visits" or "the Omniture"

First, the prefaceSaid is the reptile preliminary study, actually did not use the reptile related third party class library, mainly used the Node.js Basic module HTTP, the Web page analysis tool Cherrio. Use HTTP to get the URL path directly to the page resource, and then use Cherrio analysis. Here I have studied the case myself to knock again, deepen understanding. In the process of coding, I first took the JQ object directly with a foreach traversal

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whole project can be sorted.It is easy to find the biggest and most critical risk factors in the project, and the final result will reflect the actual situation more objectively and realistically because of the mutual influence of the risk factors.According to the above research, the flow chart of the risk analysis of hydropower project based on ANP is obtained.　　Reference documents Tangxiaoli, Feng Junwen, Wang Sherong. Project risk management based on network analysis method, statist