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Data analysis and mining of online voting system developed by PHP

王林Original: 2023-08-09 23:05:061443browse

In today's society, election activities and opinion polls are one of the important means to understand people's views and opinions. More and more organizations and institutions are beginning to use online voting systems to conduct elections and surveys, and to obtain valuable information through data analysis and mining. This article will introduce how to use PHP to develop an online voting system and analyze and mine the collected data.

First, we need to create a voting page that allows users to vote and record their choices. Here is a simple PHP code example:

<html>
<head>
    <title>在线投票系统</title>
</head>
<body>
    <h1>请选择您的候选人：</h1>
    <form action="vote.php" method="POST">
        <input type="radio" name="candidate" value="candidate1"> 候选人1<br>
        <input type="radio" name="candidate" value="candidate2"> 候选人2<br>
        <input type="radio" name="candidate" value="candidate3"> 候选人3<br>
        <input type="submit" value="提交">
    </form>
</body>
</html>

On the voting page, we create a form that lets the user select a candidate and sends the data via the POST method to vote.phpFile is processed.

Next, we need to write a PHP script to process the voting data and save it to the database. The following is a simple vote.php code example:

<?php
$servername = "localhost";
$username = "username";
$password = "password";
$dbname = "voting_system";

// 创建数据库连接
$conn = new mysqli($servername, $username, $password, $dbname);

// 检查连接是否成功
if ($conn->connect_error) {
    die("连接失败: " . $conn->connect_error);
}

// 获取用户投票数据
$candidate = $_POST["candidate"];

// 将投票数据保存到数据库
$sql = "INSERT INTO votes (candidate) VALUES ('$candidate')";

if ($conn->query($sql) === TRUE) {
    echo "投票成功！";
} else {
    echo "投票失败：" . $conn->error;
}

// 关闭数据库连接
$conn->close();
?>

In this code, we first create a connection to the database and save the user-selected candidate to the name In the table for votes.

Once we have collected enough voting data, we can start data analysis and mining. The following are some common analysis and mining methods:

Data statistics: Count the number of votes for each candidate and generate charts or reports.
Candidate Comparison: Assess the relative popularity of candidates by comparing their vote counts.
Polls: Use polling data to understand people’s views and opinions on specific issues.

In order to perform these analyses, we need to write some PHP scripts to query the database and process the data. The following is a simple example:

<?php
$servername = "localhost";
$username = "username";
$password = "password";
$dbname = "voting_system";

// 创建数据库连接
$conn = new mysqli($servername, $username, $password, $dbname);

// 检查连接是否成功
if ($conn->connect_error) {
    die("连接失败: " . $conn->connect_error);
}

// 查询每个候选人的得票数
$sql = "SELECT candidate, COUNT(*) as votes FROM votes GROUP BY candidate";
$result = $conn->query($sql);

if ($result->num_rows > 0) {
    // 输出每个候选人的得票数
    while($row = $result->fetch_assoc()) {
        echo "候选人：" . $row["candidate"]. " - 总票数：" . $row["votes"]. "<br>";
    }
} else {
    echo "暂无投票数据";
}

// 关闭数据库连接
$conn->close();
?>

With this code, we can query the number of votes for each candidate in the database and output it to the page.

Through the above examples, we learned how to use PHP to develop an online voting system and analyze and mine voting data. Of course, this is just a simple example, and more technologies and methods can be applied in actual applications to improve system performance and functionality. I hope this article can be helpful to readers, thank you for reading!

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