PHP form processing: form data statistics and analysis

PHP Form Processing: Form Data Statistics and Analysis

In the website development process, the form is a very common element, which is used to collect user-entered data. However, just collecting data is not enough. We also need to perform statistics and analysis on these data in order to better understand user behavior and make corresponding decisions. This article will introduce how to use PHP to perform statistics and analysis on form data, and provide corresponding code examples.

1. Collect form data

First, we need to create a form containing various input elements to collect user-entered data. These input elements can be text boxes, check boxes, radio buttons, drop-down menus, etc.

For example, we can create a simple registration form, including input items such as name, gender, age and interests:

<form action="process.php" method="post">
    <label for="name">姓名：</label>
    <input type="text" name="name" id="name" required>
    
    <label for="gender">性别：</label>
    <input type="radio" name="gender" value="male" checked>男
    <input type="radio" name="gender" value="female">女
    
    <label for="age">年龄：</label>
    <input type="number" name="age" id="age" min="1" max="100" required>
    
    <label for="hobbies">兴趣爱好：</label>
    <input type="checkbox" name="hobbies[]" value="reading">阅读
    <input type="checkbox" name="hobbies[]" value="music">音乐
    <input type="checkbox" name="hobbies[]" value="sports">运动
    
    <button type="submit">提交</button>
</form>

2. Processing form data

When the user After submitting the form, we need to process the form data and perform corresponding statistics and analysis. Here, we can create a file called process.php for processing form data.

<?php
// 判断表单是否提交
if ($_SERVER["REQUEST_METHOD"] == "POST") {
    // 获取表单数据
    $name = $_POST["name"];
    $gender = $_POST["gender"];
    $age = $_POST["age"];
    $hobbies = $_POST["hobbies"];
    
    // 统计人数
    $count = 1;
    
    // 统计男女比例
    $maleCount = 0;
    $femaleCount = 0;
    
    if ($gender == "male") {
        $maleCount++;
    } else {
        $femaleCount++;
    }
    
    // 统计年龄分布
    if ($age >= 20 && $age <= 30) {
        $ageGroup = "20-30";
    } elseif ($age >= 31 && $age <= 40) {
        $ageGroup = "31-40";
    } elseif ($age >= 41 && $age <= 50) {
        $ageGroup = "41-50";
    } else {
        $ageGroup = "其他";
    }
    
    // 统计兴趣爱好
    $readingCount = 0;
    $musicCount = 0;
    $sportsCount = 0;
    
    if (in_array("reading", $hobbies)) {
        $readingCount++;
    }
    
    if (in_array("music", $hobbies)) {
        $musicCount++;
    }
    
    if (in_array("sports", $hobbies)) {
        $sportsCount++;
    }
    
    // 输出统计结果
    echo "总人数: " . $count . "<br>";
    echo "男性人数: " . $maleCount . "<br>";
    echo "女性人数: " . $femaleCount . "<br>";
    echo "年龄分布: " . $ageGroup . "<br>";
    echo "阅读人数: " . $readingCount . "<br>";
    echo "音乐人数: " . $musicCount . "<br>";
    echo "运动人数: " . $sportsCount . "<br>";
}
?>

3. Display statistical results

Finally, we need to display the statistical results to users in charts, tables or other forms. Here, we can use third-party libraries, such as Google Charts or Chart.js, to generate beautiful charts.

<!-- 引入Google Charts库 -->
<script src="https://www.gstatic.com/charts/loader.js"></script>
<script>
google.charts.load('current', {'packages':['corechart']});
google.charts.setOnLoadCallback(drawChart);

function drawChart() {
    // 创建数据表
    var data = new google.visualization.DataTable();
    data.addColumn('string', '兴趣爱好');
    data.addColumn('number', '人数');
    data.addRows([
        ['阅读', <?php echo $readingCount; ?>],
        ['音乐', <?php echo $musicCount; ?>],
        ['运动', <?php echo $sportsCount; ?>]
    ]);

    // 设置图表选项
    var options = {'title':'兴趣爱好统计',
                   'width':400,
                   'height':300};

    // 绘制图表
    var chart = new google.visualization.PieChart(document.getElementById('chart_div'));
    chart.draw(data, options);
}
</script>

<!-- 展示统计结果 -->
<div id="chart_div"></div>

Above, we implemented statistics and analysis of form data through PHP and displayed the results to the user. In this way, we can better understand users' interests, age distribution and other information, and provide a basis for website optimization and improvement.

Summary

This article introduces how to use PHP to perform statistics and analysis on form data, and shows corresponding code examples. I hope readers can learn from this article how to process and analyze form data to better optimize the website and improve user experience.

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