With the booming development of the Internet and the rapid growth of data, data visualization has become an important means of data analysis and display. Common data visualization methods include bar charts, line charts, pie charts, scatter charts, etc. This article will introduce how to use PHP and Highcharts to create data visualization charts so that the data can present intuitive visual effects.
1. Introduction to Highcharts
Highcharts is an open source charting library based on JavaScript, which can be used to create interactive charts and maps. Highcharts supports many types of charts, such as linear charts, area charts, scatter charts, pie charts, bar charts, etc. The theme and style of Highcharts itself can be customized to meet the needs of different scenarios. At the same time, Highcharts can be seamlessly integrated with popular front-end frameworks such as jQuery for easy use.
2. Environment setup
Before installing Highcharts, you need to set up a PHP development environment. You can choose to build a local environment or use cloud platform services, such as Alibaba Cloud, Tencent Cloud, etc.
After setting up the PHP environment, we can download the latest version of Highcharts from the official website and extract it to the local environment. The files that will be used next are: highcharts.js, jquery.js and data.php.
Height and width can be customized, the following is the code
3. Data call
In data.php, we can store data in an array. Here we take a histogram as an example. The data includes x axis and y-axis values. The code is as follows:
// Data array
$data = array(
});
Through the above code, we can generate the following histogram:
The above is a For a simple example, readers can generate other types of charts by modifying the data and Highcharts API.
5. Summary
This article uses PHP and Highcharts to create data visualization charts as the main line, and introduces in detail the basic concepts, environment construction, data calling and chart generation process of Highcharts. Readers can master more advanced data visualization techniques by in-depth reading of official documents and APIs, create more creative and practical data visualization charts, and improve the efficiency of data analysis, display and sharing.
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