How to do data analysis for beginners

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Some time ago, a chance, the online travel site was collected and analyzed. At the beginning of the collection, I really do not know how to start, but after the gathering of the bumps, finally there are some small harvest. Here, as a novice, I share some of my experiences with collecting data.

Believe that the webmaster are aware of the importance of data analysis in the website operation, network promotion and so on are required data analysis as a support. For those who study data, what data to collect, how to collect data, what data should be analyzed, and the location of data analysis are extremely important.

Website Collection

First of all, before the site to collect the preparation work, the first thing to do is to make a reasonable plan, how to collect data, what to collect, how much time to collect the data, and the data that needs to be sorted out, because the analysis data is the key point, and it needs to be analyzed in advance. Let yourself analyze the data at a glance.

When we began to collect data, it is easy to make a mistake is to see what content is more consistent with the collection, the result is more and more data in the table, to the last look, even their own dizzy, dense data how to collate and analysis Ah! In fact, when we collect data, we can set a simple standard, what kind of data we need, what data is not eligible, first make a preliminary judgment. For example, this is the collection of provincial top5 online tourism site, you can according to the "online" and "travel" of these two standards to determine whether the collected sites meet the conditions.

As a result of the search site a wide range, so my main entrance is to use Baidu Search, with "Provincial + online travel" or "Provincial name + tourism Network" and other keywords to find some of the site, and then according to the links to these sites to find other types of tourism sites. Then there are some navigation sites to find some travel sites, but these navigation stations are not many local tourism sites. In this way, each province collected almost 10 sites around, of course, each province is not the same situation, there are many and few. After the collection is over, there are almost 300 sites around.

Web site selection and collation

Because it is to find TOP5, so the site to find out, you need to filter these sites roughly. Because the travel site is not very understanding, so mainly rely on the site's user experience and SEO-related data to filter. And I mainly through the Alexa rankings, online booking, site of the construction of the year, the nature of the site, Web services, website basic data and the profit model of the site, and so on several big aspects to consider, and finally each province screened down, there are 5, 6.

Website analysis

After the data filter is finished, the analysis is followed. Because analysis is the core of the data collection, more time is spent on it. The website user experience aspect may through whether has the reservation travel, the reservation hotel, the booking ticket, the self-service tour, with the regiment tour, the exit tour and so on analysis. SEO data in terms of Alexa rankings, PageRank, the ranking of Chinese websites, major search engines included and the reverse chain and other negative to analyze. There are some basic information of the website, profit mode, contact method, microblogging, online customer service and so on. The analysis of the project as comprehensive as possible, the more detailed analysis, the deeper you dig, the more valuable your data.

Of course the data analysis must have the explanation, each person looks at the same data the time to have the different viewpoint, has the explanation, other people when sees this data the time only then to know is how. For example, travel site TOP5 Data Description, it should be written clearly what the data, ranking is based on what, which accounted for the main, which is complementary.

A beautiful and clear data

Of course, in the process of collecting data, a beautiful and clear table not only allows us to clearly see the focus of the data, easy to find the data, and we collect data in the process, we can improve the efficiency of collecting and analyzing data.

In short, data collection and analysis is very boring, whether it is the collection or analysis, a large number of data, often people do not feel the clue, the more data, collation analysis of the more trouble, the more easy to make people irritable, will not stick to the halfway. But when done, we can get an important and useful data, and through this data, it can be easier in the future related work, and more purposeful and targeted work.

All right! So much so that I hope to help friends who do data collection and analysis.