Tips for implementing the store rating statistical report function in PHP Developer City

With the rapid development of e-commerce, more and more merchants choose to open their own stores online. On an e-commerce platform, users can express their satisfaction with the merchant by rating the store. In order to help merchants better understand their own service quality and competitiveness with other merchants, it is very important to implement the store rating statistical report function in the e-commerce website developed by PHP.

1. Requirements Analysis
To implement the store rating statistical report function, you first need to extract and collect data from user evaluation information. Specifically, it is necessary to collect each user's rating of the store and the time corresponding to each rating. According to the different levels of the rating, the rating can be divided into several categories, such as five-star positive rating, four-star positive rating, three-star neutral rating, two-star negative rating, one-star negative rating, etc. Associate the rating information and rating levels with time, and count the number of ratings for each level in different time periods.

2. Data collection
During the PHP development process, scoring information can be stored and managed by using databases and tables. Create a database table named "Rating Table", which contains the following fields: rating number, store number, user number, rating star, rating time. After the user rates the store, the relevant information is stored in the database.

3. Statistical method
In order to realize the statistical function of store ratings, the following method can be used:

1. Query database
   In the PHP code, use SQL statements to query Data in the "Rating Sheet". You can use the SELECT COUNT(*) statement to query the number of ratings for each level and save the results in an array.
2. Statistical quantity
   According to the query results, the number of scores for each level is accumulated into the corresponding variable. You can define an array named "Rating Statistics", which contains five elements, representing the number of ratings for the five levels.
3. Statistical time period
   In order to better understand the rating change trend, you can count the ratings based on the time period. When querying the database, use the WHERE clause of the SQL statement to filter out the specific time period. You can choose to count the number of ratings per day, week, or month as needed.
4. Data Visualization
   It is very intuitive and convenient to present statistical results to merchants in the form of charts. In PHP, charts can be created using third-party libraries such as Google Charts. Pass the statistical results to the chart library, and then insert the generated chart into the web page. Merchants can clearly see the distribution and changes of ratings.

4. Optimization techniques
In order to improve the efficiency and accuracy of store rating statistics, the following optimization techniques can be used:

1. Index optimization
   In the database table , query speed can be improved by creating appropriate indexes. Indexes can be created on the store number, user number, and rating time fields to quickly locate and retrieve relevant data.
2. Data Cache
   Cache query results to speed up access to scoring data. You can use caching technology (such as Memcache) to store query results in memory and retrieve the data directly from memory during the next query.
3. Asynchronous update
   The rating data will change when the user performs the rating operation. In order to ensure the real-time nature of the data, asynchronous update can be used to operate the database. After the user scores, the scoring data is sent to the server. After receiving the data, the server performs asynchronous processing and updates the data in the database.

5. Summary
To implement the store rating statistical report function in PHP Developer City, it is necessary to extract and compile statistics from user evaluation data. By querying the database, counting quantities and time periods, and using chart libraries for data visualization, it can help merchants understand the service quality and competitiveness of the store. At the same time, using techniques such as index optimization, data caching, and asynchronous updates can improve statistical efficiency and accuracy. These techniques can help PHP developers better implement the store rating statistical report function in the mall.

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