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How to use PHP database connection for data analysis and statistics

王林

Sep 08, 2023 pm 02:06 PM

data analysisstatisticsphp database connection

How to use PHP database connection for data analysis and statistics

Introduction:
In the modern data-driven world, data analysis and statistics have become crucial . PHP, as a popular server-side scripting language, is also widely used in data processing and analysis. This article will introduce how to use PHP database connection for data analysis and statistics, and help readers understand the specific implementation details through code examples.

Connect to the database
First you need to establish a connection with the database. Assuming we are using a MySQL database, we can use the mysqli extension provided by PHP to connect to the database.

$servername = "localhost";
$username = "root";
$password = "password";
$dbname = "database";

// 创建连接
$conn = new mysqli($servername, $username, $password, $dbname);

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

Query data
Once the connection is established with the database, we can execute query statements to obtain the data that needs analysis and statistics. The following example will query the users table in the database and get the number of users.

$sql = "SELECT COUNT(*) as total FROM users";
$result = $conn->query($sql);

if ($result->num_rows > 0) {
    // 输出数据
    while($row = $result->fetch_assoc()) {
        echo "用户数量: " . $row["total"];
    }
} else {
    echo "没有找到结果";
}

Data analysis and statistics
After obtaining the data, we can use various data processing functions and algorithms of PHP for data analysis and statistics. The following example will count the number of male and female users in the users table.

$sql = "SELECT gender, COUNT(*) as total FROM users GROUP BY gender";
$result = $conn->query($sql);

if ($result->num_rows > 0) {
    // 输出数据
    while($row = $result->fetch_assoc()) {
        echo "性别: " . $row["gender"]. " - 人数: " . $row["total"];
    }
} else {
    echo "没有找到结果";
}

Data Visualization
Data visualization is an important part of data analysis and statistics. Data results can be presented more visually by converting the data into charts, graphs, or other visual elements. PHP provides some visualization libraries, such as Charts.js and Highcharts, which can be used to generate various charts. The following example will use Charts.js to generate a bar chart showing the number of people of each age group in the user table.

<!DOCTYPE html>
<html>
<head>
    <title>用户年龄分布</title>
    <script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
</head>
<body>
    <canvas id="myChart"></canvas>

    <script>
        <?php
        $sql = "SELECT age, COUNT(*) as total FROM users GROUP BY age";
        $result = $conn->query($sql);

        $ages = [];
        $totals = [];

        if ($result->num_rows > 0) {
            while($row = $result->fetch_assoc()) {
                $ages[] = $row["age"];
                $totals[] = $row["total"];
            }
        } else {
            echo "没有找到结果";
        }

        ?>
        
        // 创建柱状图
        var ctx = document.getElementById('myChart').getContext('2d');
        var myChart = new Chart(ctx, {
            type: 'bar',
            data: {
                labels: <?php echo json_encode($ages); ?>,
                datasets: [{
                    label: '人数',
                    data: <?php echo json_encode($totals); ?>,
                    backgroundColor: 'rgba(75, 192, 192, 0.2)',
                    borderColor: 'rgba(75, 192, 192, 1)',
                    borderWidth: 1
                }]
            },
            options: {
                scales: {
                    y: {
                        beginAtZero: true
                    }
                }
            }
        });
    </script>
</body>
</html>

Summary:
By using PHP database connection, we can easily perform data analysis and statistics. In this article, we learned how to connect to a database, query data, perform data analysis and statistics, and display the results through data visualization. Mastering these skills can help us better understand and utilize data and achieve more accurate data-driven decisions. I hope this article can provide some help to readers in their learning and practice of PHP data analysis and statistics.

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