Force statistics: The relationship between analytic statistical thought and SEO

For large web sites, do SEO need to involve data statistics and analysis. There are two advantages, one is to find the surface can not find the problem through data, the second is through the data can correctly guide the direction of work. But for a lot of data, we do not know how to analyze or how to summarize, today I talk to you about my data analysis of a few small summary, I hope to help.

application of average statistics

Average statistics is a concept we often use, we are all familiar with, but how to apply in the field of SEO optimization, very simple, for example, for external links, we have the first three pages of Baidu to do statistics, get the total number of external links, and then take the average value. Such a data is that we are in the early stage of a standard, after all, understand the opponent can be hundred; after the site operation for a period of time, through the IIS log statistics site Spider crawl times, the total fish stay time. To get an average, a lower-than-average column needs to be strengthened to improve the strategy.

percent and percent

Percentage is a number accounted for the proportion of the total number of SEO, such as the total number of Web pages 5w, and SE spiders only crawl 1w, then you can calculate the total number of pages crawled 10000/50000 * 100% = 20%, it is very obvious that the site is included in a very unsatisfactory status; General Web pages must be reached to 70-80% only to calculate an average, although this is not too easy for large sites, but we must ensure that the amount of the volume to ensure that the flow, and the use of the percentage points are similar, such as the site revised before the percentage of 20%, and after the Complete System SEO optimization, With a quantitative change of 60%, it shows a 40% percentage point increase.

　　The use of proportion and ratio

The proportions and the percentages mentioned above are similar, but there are also different places, for a website, if the total number of pages is 1.5w, and a column number for the 3000,b column number of 3000,c column number is 9000, then the proportion of the three is 20%, 20% and 50% respectively, And if the focus of our site is placed on a and B columns, it is obvious that our site as a whole need to adjust direction, this is a lot of sites will make a mistake. And the ratio is similar in fact, it more emphasis on the proportion between the parts, such as the above example, b column and C column between the ratio of 1:3. From this ratio we can see the focus of the site.

　And the use of the chain

Year-on-year and the chain you may not hear a lot, compared with the history of the same period, can reflect the development and progress of things; for example, the Web site on the first month of Spider crawl Web page accounted for 30% of the total station, and a year after this time to crawl up to 65%, then become a year-on-year increase of 35%, Such words are often seen in the news and are a hot word in economics. And the chain is a statistical period within the different stages of comparison, the meaning is similar, but the time is different, such as the first three weeks of the average is lower than the average of three weeks 10%, its time period is different.

In addition to some of the indicators mentioned above, there are a lot of similar, today for the time being to share here. These are the common terms in statistics, I think there is a great relationship between the two, after learning these terms, we can according to statistical thinking of their own website for a full range of statistics and research. The SEO do know it is more aware of its why, and strive to minimize the risk, controllable degree to achieve the highest.

Hope to see this article can let webmaster to their own site statistics have a new understanding, let us all attach importance to the data of the website, start a new journey. This article from red wine Papaya soup, url: http://www.52mgt.com, reproduced please keep the link, thank you!