Integration of PHP and Highcharts to realize chart visualization display

With the advent of the data era, data visualization has become the focus of many companies and developers. For many developers, the implementation of data visualization is not an easy task. However, with the integration of PHP and Highcharts, visualizing charts will become a piece of cake.

PHP is a popular programming language that is widely used in the field of web development. Highcharts is a chart library written in JavaScript that can easily create various types of charts, such as column charts, line charts, pie charts, etc.

Next, we will introduce how to integrate PHP and Highcharts and realize chart visualization.

Step 1: Download Highcharts

First, you need to download the Highcharts library. The official website provides two versions, one is the open source version and the other is the commercial authorized version. If you need a commercial licensed version, please purchase the corresponding license.

After the download is complete, unzip Highcharts into a folder on your web server and make sure your folder has the appropriate permissions.

Step 2: Prepare your data

Before you start creating a chart, you need to prepare your data. Data can come from any data source, such as databases, CSV files, etc.

For the examples in this article, we will use a PHP array as the data source. Here is the array we will be using:

$data = array(

array('name' => 'Firefox', 'y' => 45.0),
array('name' => 'IE', 'y' => 26.8),
array('name' => 'Chrome', 'y' => 12.8),
array('name' => 'Safari', 'y' => 8.5),
array('name' => 'Opera', 'y' => 6.2),
array('name' => 'Others', 'y' => 0.7)

);

Step 3: Create the HTML page

Now, we will Create an HTML page and integrate Highcharts library files and the JavaScript code required to create charts. Here is the HTML code for the example:

<title>Highcharts Integration with PHP</title>
<script src="highcharts/highcharts.js"></script>
<script src="highcharts/modules/exporting.js"></script>

< body>

<div id="container" style="width: 100%; height: 400px;"></div>
<script type="text/javascript">
    var data = <?php echo json_encode($data); ?>;
    Highcharts.chart('container', {
        chart: {
            plotBackgroundColor: null,
            plotBorderWidth: null,
            plotShadow: false,
            type: 'pie'
        },
        title: {
            text: 'Browser market share, January, 2018 to May, 2018'
        },
        tooltip: {
            pointFormat: '{series.name}: <b>{point.percentage:.1f}%</b>'
        },
        plotOptions: {
            pie: {
                allowPointSelect: true,
                cursor: 'pointer',
                dataLabels: {
                    enabled: true,
                    format: '<b>{point.name}</b>: {point.percentage:.1f} %',
                    style: {
                        color: (Highcharts.theme && Highcharts.theme.contrastTextColor) || 'black'
                    }
                }
            }
        },
        series: [{
            name: 'Brands',
            colorByPoint: true,
            data: data
        }]
    });
</script>

In this example, we assign the data to a JavaScript variable and then use the Highcharts.chart() function to create a chart.

In the above code, we also define several additional parameters, such as title, color, mouseover prompt, etc.

The specific parameters can be changed according to your needs.

Step Four: Run the Code

Now, we are ready to integrate PHP and Highcharts and create charts to display your data. Save the HTML code as a .php file and upload the file to the server.

Now you can open the file in your browser and see your data represented as a chart!

Summary

Through the integration of PHP and Highcharts, you can easily visualize data without being proficient in JavaScript development. This integration is easy to get started yet flexible enough to allow you to create a variety of chart types.

In actual applications, you can choose to obtain data from any data source and display it in the form of charts to help you understand and analyze the data more clearly.

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