With the development of the Internet, data analysis has become an issue that companies and individuals must pay attention to. Data analysis tools can be used to process and analyze data quickly and effectively, and better understand the patterns behind the data, thereby improving the accuracy and efficiency of decision-making. This article will introduce how to use ThinkPHP6 to implement data analysis.

1. Data storage

Before data analysis, we first need to store the data in the database. ThinkPHP6 supports a variety of databases, such as MySQL, SQLite, PostgreSQL, Oracle, etc. Here is MySQL as an example.

1. Configure the database connection information in the config/database.php file:

// MySQL數(shù)據(jù)庫配置信息
'database' => [
    // 數(shù)據(jù)庫類型
    'type'            => 'mysql',
    // 數(shù)據(jù)庫連接DSN配置
    'dsn'             => '',
    // 服務(wù)器地址
    'hostname'        => 'localhost',
    // 數(shù)據(jù)庫名
    'database'        => 'database_name',
    // 數(shù)據(jù)庫用戶名
    'username'        => 'root',
    // 數(shù)據(jù)庫密碼
    'password'        => '',
    // 數(shù)據(jù)庫連接端口
    'hostport'        => '3306',
    // 數(shù)據(jù)庫連接參數(shù)
    'params'          => [],
    // 數(shù)據(jù)庫編碼默認(rèn)采用utf8mb4
    'charset'         => 'utf8mb4',
    // 數(shù)據(jù)庫表前綴
    'prefix'          => '',
    // 數(shù)據(jù)庫調(diào)試模式
    'debug'           => true,
    // 數(shù)據(jù)庫部署方式:0 集中式(單一服務(wù)器),1 分布式(主從服務(wù)器)
    'deploy'          => 0,
    // 數(shù)據(jù)庫讀寫是否分離 主從式有效
    'rw_separate'     => false,
    // 讀寫分離后 主服務(wù)器數(shù)量
    'master_num'      => 1,
    // 指定從服務(wù)器序號
    'slave_no'        => '',
    // 是否嚴(yán)格檢查字段是否存在
    'fields_strict'   => true,
    // 數(shù)據(jù)集返回類型
    'resultset_type'  => 'array',
    // 自動寫入時間戳字段
    'auto_timestamp'  => false,
    // 時間字段取出后的默認(rèn)時間格式
    'datetime_format' => 'Y-m-d H:i:s',
    // 是否需要進行SQL性能分析
    'sql_explain'     => false,
],

2. Create a data table in the database

Create a file named student in MySQL table and insert some test data:

CREATE TABLE `student` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `name` varchar(20) NOT NULL,
  `age` int(11) NOT NULL,
  `sex` enum('male','female') NOT NULL,
  `score` decimal(5,2) NOT NULL,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;

INSERT INTO `student` (`id`, `name`, `age`, `sex`, `score`)
VALUES
    (1, '小明', 18, 'male', 89.5),
    (2, '小紅', 19, 'female', 95),
    (3, '小亮', 20, 'male', 82.5),
    (4, '小花', 18, 'female', 88.5);

2. Data analysis

With the data stored in the database, we can use the query builder provided by ThinkPHP6 to process and analyze.

1. Get data

First you need to introduce the Model class in the controller and define a method to get all the data in the student table:

<?php
namespace appindexcontroller;

use appindexmodelStudent;
use thinkController;

class Index extends Controller
{
    public function index()
    {
        $student = new Student();
        $data = $student->select();
        dump($data);
    }
}

In the above code, we Create a new Student object through the new operator, and then use the select method to obtain all the data in the student table. Finally, use the dump method to output the results to the page for easy debugging. It should be noted that we used the model class Student in the controller and did not manually write the SQL statements for the student table. This is because ThinkPHP6 already provides a database migration tool that can easily create and modify data tables.

2. Group and summarize data

In practical applications, it is often necessary to group data and display it in summary. In this case, you can use the group and sum methods provided by the query builder.

The group method is used to group data according to specific fields, such as grouping the above student table according to age:

public function index()
{
    $student = new Student();
    $data = $student->group('age')->select();
    dump($data);
}

sum method is used to sum the specified fields, such as calculating the above student The total scores of all students in the table:

public function index()
{
    $student = new Student();
    $score = $student->sum('score');
    dump($score);
}

3. Conditional query data

According to actual needs, we need to perform conditional filtering during the data analysis process. We can use the WHERE clause to filter the data.

For example, we only need to query the students who are 18 years or older in the student table. We can use the where method:

public function index()
{
    $student = new Student();
    $data = $student->where('age', '>=', 18)->select();
    dump($data);
}

It is important to note that since ThinkPHP6 uses the PDO preprocessing mechanism, Therefore, when using the WHERE clause, parameter binding must be used, otherwise there may be the risk of SQL injection.

4. Sort data

In the case of a large amount of data, users often need to sort the data according to specific rules, and can use the order and limit methods.

For example, we want to sort the data in the student table in order from high to low student scores:

public function index()
{
    $student = new Student();
    $data = $student->order('score', 'DESC')->select();
    dump($data);
}

At the same time, we can also use the limit method to limit the number of returned data:

public function index()
{
    $student = new Student();
    $data = $student->order('score', 'DESC')->limit(2)->select();
    dump($data);
}

3. Summary

The above is the process of using ThinkPHP6 to implement data analysis. Through the above method, you can easily obtain data from the database and perform grouping, summary, conditional query and sorting operations. , providing basic support for data analysis. It is important to note that due to data security considerations, we must use parameter binding when using the WHERE clause to ensure the security of the program.

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