


Analysis of the relationship between shopping mall purchase times and evaluations developed with PHP
Analysis on the relationship between shopping mall purchases and evaluations developed with PHP
With the rapid development of e-commerce, more and more people choose to shop online. For a mall, understanding the relationship between the number of purchases and reviews can help them better understand user behavior and provide better services. This article will introduce how to use a mall developed in PHP to analyze the relationship between purchase times and evaluations, and demonstrate it through code examples.
- Database design
First you need to design a database to store user purchase and evaluation information. Suppose we have two tables, namely "purchase" (purchase information) and "evaluation" (evaluation information). The "purchase" table contains the following fields: purchase_id (purchase ID), user_id (user ID), product_id (product ID), purchase_date (purchase date), etc. The "evaluation" table contains the following fields: evaluation_id (evaluation ID), purchase_id (purchase ID), rating (score), comment (comment), etc.
- Get the number of user purchases
By querying the "purchase" table, you can get the number of purchases for each user. The following is a PHP code example:
<?php // 连接数据库 $servername = "localhost"; $username = "root"; $password = "password"; $dbname = "mydb"; $conn = new mysqli($servername, $username, $password, $dbname); if ($conn->connect_error) { die("连接失败: " . $conn->connect_error); } // 查询购买次数 $sql = "SELECT user_id, COUNT(*) as purchase_count FROM purchase GROUP BY user_id"; $result = $conn->query($sql); if ($result->num_rows > 0) { while($row = $result->fetch_assoc()) { echo "用户ID:" . $row["user_id"]. ",购买次数:" . $row["purchase_count"]. "<br>"; } } else { echo "没有购买记录"; } $conn->close(); ?>
The above code counts the number of purchases for each user by querying the "purchase" table and grouping by "user_id", and outputs the results.
- Get the evaluation information of each user
By querying the "evaluation" table, you can obtain the evaluation information of each user. The following is an example of using PHP code:
<?php // 连接数据库 $servername = "localhost"; $username = "root"; $password = "password"; $dbname = "mydb"; $conn = new mysqli($servername, $username, $password, $dbname); if ($conn->connect_error) { die("连接失败: " . $conn->connect_error); } // 查询评价信息 $sql = "SELECT user_id, rating, comment FROM evaluation"; $result = $conn->query($sql); if ($result->num_rows > 0) { while($row = $result->fetch_assoc()) { echo "用户ID:" . $row["user_id"]. ",评分:" . $row["rating"]. ",评论:" . $row["comment"]. "<br>"; } } else { echo "没有评价记录"; } $conn->close(); ?>
The above code obtains the evaluation information of each user by querying the "evaluation" table and outputs the results.
- Analyze the relationship between the number of purchases and evaluations
By matching the number of purchases and evaluation information, the relationship between the number of purchases and evaluations can be obtained. The following is an example of PHP code:
<?php // 连接数据库 $servername = "localhost"; $username = "root"; $password = "password"; $dbname = "mydb"; $conn = new mysqli($servername, $username, $password, $dbname); if ($conn->connect_error) { die("连接失败: " . $conn->connect_error); } // 查询购买次数 $sql = "SELECT purchase.user_id, COUNT(*) as purchase_count, evaluation.rating FROM purchase LEFT JOIN evaluation ON purchase.purchase_id = evaluation.purchase_id GROUP BY purchase.user_id"; $result = $conn->query($sql); if ($result->num_rows > 0) { while($row = $result->fetch_assoc()) { echo "用户ID:" . $row["user_id"]. ",购买次数:" . $row["purchase_count"]. ",评分:" . $row["rating"]. "<br>"; } } else { echo "没有相关数据"; } $conn->close(); ?>
The above code associates the "purchase" table with the "evaluation" table using LEFT JOIN, and then groups by "user_id" to count the number of purchases and ratings of each user, and Output results.
Through the above steps, we can use PHP to analyze the relationship between the number of shopping mall purchases and evaluations. By analyzing this relationship, the mall can better understand user behavior and optimize services in a targeted manner to improve user satisfaction.
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