SEO should be concerned about what aspects of data to do a good job of analysis

SEO has been done for several years, often related to data statistics and analysis of the live. In the face of a lot of messy data, what can we see with this data? I believe this is also a problem many friends face. Let's introduce a few indicators and terminology today. If there is any wrong place, please treatise.

I. Average

The average we refer to in our daily life is usually the arithmetic mean, that is, the sum of all the data is divided by the number of data. It can reflect the general level of the total quantity, covering up the differences in the overall unit.

Example one, by comparing the number of competitors to get an average, this is the initial link construction of the project quantity forecast.

Example two, the site operation for a period of time, through the statistics of the spider crawling number of columns, stay time. The average number, as a criterion, below the average of the columns and pages need to improve the strategy to attract spiders.

Absolute number and relative numbers

Absolute number: Absolute numbers reflect the overall scale of the objective phenomenon in a certain time, place, the overall level of comprehensive indicators, can also be expressed in a certain time, place conditions in the amount of change and decrease.

Example: the website on-line 3 months, collects the number to be 50000, the website revision one months, included is more than before the revision 5000.

Relative number: The relative number refers to the numerical value obtained by the comparison of two interrelated indices, which is a comprehensive index to reflect the degree of quantitative relationship between objective phenomena. Calculated formula: Relative number = compare value/Base value.

Example: PV is 4.5 times times the IP; Page A to B page two clicks is 50%. If the relative number is too low, or below the industry average, you should consider improving the content relevance of the relevant pages.

Iii. percentages and percentage points

A percentage is one of the relative numbers that represents a percentage of another number, also known as a percentage or a percentage.

Example: The total number of Web pages is 3000, spiders crawl number is 800, then the percentage of the site is crawled 800/3000 * 100% = 27%, you need to consider improving the efficiency of spiders crawl.

Percentage point refers to the variation of relative indices expressed in the form of percentages in different periods, 1% =1%.

Example: A site did not do spiders crawl efficiency before the capture rate is: 27%, improved after the crawl rate of 52%, then the site improved than before the improvement of 25%.

Iv. Frequency and frequencies

Frequency is the number of times that individual data in a set of data repeats itself.

Example: Analysis of Baidu spider IP segment and the relationship between the weight of the site, statistics to a Web site spider a total of 50 IP, of which there are 30 123.*.*.*, 202.*.*.* 20, then the frequency of the 123IP segment is 30,202IP segment of the frequency of 20.

Frequency is the ratio of the number of categories per group to the total number.

Example: In the above example, the frequency of 123.*.*.* is 30/50 * 100% = 60%

V. Proportion and ratio

A ratio is a proportion of the total number of parts in the population, usually reflecting the overall composition and structure.

Example: All the columns grab number for 10000,a column crawl 2000,b column crawl 3000,c column Crawl 5000, then A, B, c column crawl ratio of 20%, 30%, 50%, if the C column is not your main guide column, then the site structure appears a big problem.

Ratio refers to the comparison of different categories of values, which reflect not the relationship between the parts and the whole, but the relationships between the parts of a whole.

Example: The above example data is based on, the ratio of column A and column B is 2000:3,000 is 2:3.

Six, year-on-year and chain

Compared with the history of the same period to compare the numerical results, the indicators mainly reflect the development of things in the relative situation.

For example: The first week of October spider crawl situation and the first week of September spider crawl situation of the contrast, is year-on-year.

The chain refers to the comparison with the previous statistical period of the numerical results, the index mainly reflects the development of things on a case-by-stage.

For example: The second week of October and the first week of October, the comparison of spider statistics, is the chain.

The basic indicators are so much, the application of these basic indicators and insights welcome everyone here to discuss the discussion.

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