
How to use PHP to write an employee attendance statistical analysis program?
Introduction:
In a business or organization, attendance statistics are a very important part. Using PHP to write employee attendance statistical analysis programs can effectively manage and analyze employee attendance data and improve the efficiency and accuracy of attendance work. This article will introduce how to use PHP to write a simple employee attendance statistical analysis program and provide specific code examples.
- Preparation work
Before starting to write the program, we need to prepare the following work:
- A computer or server with a PHP environment installed;
- A MySQL database, used to store attendance data;
- A Web server, used to run PHP programs.
- Create database table
First, we need to create a database table to store employee attendance data. Assume that the table we create is named "attendance" and contains the following fields:
- id: the unique identifier of the attendance record;
- employee_id: employee ID;
- date: the attendance date ;
- time_in: working time;
- time_out: working time.
In MySQL, you can use the following SQL statement to create a table:
1 2 3 4 5 6 7 | CREATE TABLE attendance (
id INT AUTO_INCREMENT PRIMARY KEY,
employee_id INT,
date DATE ,
time_in TIME,
time_out TIME
);
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- Writing a program
Next, we start writing a PHP program to implement employee attendance statistical analysis Function. First, we need to connect to the database and select the database to use. This can be achieved using the following code:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | <?php
$servername = "localhost" ;
$username = "username" ;
$password = "password" ;
$dbname = "attendance_db" ;
$conn = new mysqli( $servername , $username , $password , $dbname );
if ( $conn ->connect_error) {
die ( "连接数据库失败: " . $conn ->connect_error);
}
$conn ->set_charset( "utf8" );
$conn ->close();
?>
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In the above code, you need to replace "localhost" with your database server address, "username" and "password" with your database username and password. Replace "attendance_db" with your database name.
- Add attendance records
Now, we can add employees’ attendance records to the database. This can be achieved using the following code:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | <?php
$employee_id = $_POST [ "employee_id" ];
$date = $_POST [ "date" ];
$time_in = $_POST [ "time_in" ];
$time_out = $_POST [ "time_out" ];
$sql = "INSERT INTO attendance (employee_id, date , time_in, time_out)
VALUES ( '$employee_id' , '$date' , '$time_in' , '$time_out' )";
if ( $conn ->query( $sql ) === TRUE) {
echo "考勤记录添加成功" ;
} else {
echo "添加考勤记录失败: " . $conn ->error;
}
?>
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In this code, we first obtain the attendance data submitted by the form, and then use the INSERT INTO statement to insert the data into the database.
- Statistical attendance data
Finally, we can use SQL statements to obtain employee attendance data from the database and perform statistical analysis. This can be achieved using the following code:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | <?php
$sql = "SELECT employee_id, COUNT (*) AS total_attendance
FROM attendance
WHERE employee_id = '123'
GROUP BY employee_id";
$result = $conn ->query( $sql );
if ( $result ->num_rows > 0) {
while ( $row = $result ->fetch_assoc()) {
echo "员工ID:" . $row [ "employee_id" ]. " 考勤次数:" . $row [ "total_attendance" ]. "<br>" ;
}
} else {
echo "没有找到对应的考勤数据" ;
}
?>
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In the above code, we first use the SELECT statement to obtain the attendance data of employee ID "123" from the database, and use the COUNT(*) function to count the attendance times . Then, use a while loop to iterate through the result set and output the number of attendance times for each employee.
- Summary
Through the above steps, we successfully wrote a simple employee attendance statistical analysis program using PHP. The program realizes the functions of connecting to the database, adding attendance records and counting attendance data. Of course, this is just a sample program and you can extend and optimize it to suit your needs. I hope this article will be helpful to you in writing an employee attendance statistical analysis program!
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