How to develop large-screen visualization applications in PHP?

With the rapid development of information technology, the demand for large-screen visualization applications is also increasing. In this field, PHP, as a widely used programming language, is also used to develop large-screen visualization applications. This article will delve into how to use PHP for large-screen visualization application development.

1. Why choose PHP

PHP is currently the most widely used open source server-side programming language. It is used in server-side website development, internal enterprise applications, large-scale Web system development and other fields. Wide range of applications. In the field of large-screen visualization applications, PHP also has advantages that cannot be ignored.

1. Easy to learn and use

PHP's grammatical structure and scripting style are similar to C language and Perl, making it easier to learn than other languages.

2. Low cost

PHP is an open source software, which can avoid the high cost of paying for other commercial software and has low cost.

3. Cross-platform

PHP can run on various operating systems, including windows, linux, unix, macOS, etc.

4. Big community

PHP has a huge community and developer support, which can provide rich open source code and reusable solutions.

2. Development process of large-screen visualization applications

Let’s get to the point. The following will introduce the development process of large-screen visualization applications.

1. Requirements analysis

In the development process of large-screen visualization applications, requirements analysis needs to be performed first. This includes understanding of user needs and analysis of functions, interfaces, performance, etc.

2. Database design

Design appropriate data tables and data structures based on application requirements. You can plan and design tables and sort out ER diagrams according to your needs. This step requires careful consideration of the relationships between the data to ensure that the data flows correctly.

3. Data Collection

Collect data and save it into the database in an appropriate manner. You can use existing APIs or write a data collection module yourself.

4. Data processing

Use PHP to write appropriate scripts to process data and display the data in a visual way.

5. Application interface

The interface related to data display should have good interface design and interactivity, and should be scalable. Large screen displays and terminal displays can be designed to meet different needs.

6. Development and testing

After loading the data and interface, conduct tests to ensure the normal operation of each module, and debug and optimize them.

3. Large-screen visualization application example

An example will be used to demonstrate how to use PHP for large-screen visualization application development. Here we take data visualization as an example.

In this example, we will collect and process preference survey data to show the most popular types of diets. This example will use the following technologies: PHP, HTML, CSS, and jQuery-based charting libraries (such as Highcharts).

1. Requirements Analysis

In this application, it is necessary to collect the user's dietary preference information and store the data in the database. Next, the data is sorted by food type and the data on diet type and number of people are displayed on the big screen.

2. Database design

Plan and design tables according to requirements and sort out ER diagrams. The database in this example has two tables. One is a questionnaire form, which contains fields such as ID, gender, age, taste, and table creation date. The other table is a diet type table, which includes ID, diet type, and number of people surveyed. field.

3. Data collection

Obtain data from the questionnaire filled in by users and save it to the database. The PHP script can use the following statement to obtain data from the database:

SELECT taste, COUNT(*) as count FROM survey GROUP BY taste

The data grouped by flavor will then be output to JSON format.

4. Data processing

Use PHP scripts to process data and convert it into visual charts. Need to extract relevant information about dietary tastes and questionnaire data from JSON data.

5. Application interface

Implement attractive application user interface through HTML and CSS. In addition, the Highcharts library is our choice for interactive charts. Introduce the library name in the HTML page and also require some JavaScript code to get the data and make it display the chart. Charts can be designed responsively for different browser sizes and visualized so that they are clean and easy to read on large screens.

6. Development and testing

After completing the above steps, tests need to be carried out to ensure the normal operation of each module, and to debug and optimize them. It is necessary to test the chart display status and response status under each browser.

Conclusion

In this article, we have an in-depth exploration of how to use PHP for large-screen visual application development, and demonstrate the specific development process through an application example. As a highly scalable programming language, PHP has important application value in the field of large-screen visualization applications. It also has huge advantages in later maintenance and updates.

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