Use ECharts and Java interfaces to implement statistical chart design in multiple data formats

Use ECharts and Java interfaces to implement statistical chart design in multiple data formats

With the popularity of the Internet and the continuous expansion of data collection, data processing and visualization have become met an important requirement. Statistical charts are an important way of data visualization. This article will introduce how to use ECharts and Java interfaces to implement statistical chart design in multiple data formats.

1. Introduction to ECharts

ECharts is an open source visualization library based on JavaScript, developed by Baidu’s front-end technology department. It provides a variety of chart types and interaction methods, supports mobile terminals, and has strong scalability. ECharts mainly has the following features:

1. Easy to learn and use: ECharts provides complete documentation and examples so that users can get started quickly.

2. Support multiple data types: ECharts supports the parsing of multiple data formats, such as JSON, XML, CSV, etc.

3. Rich chart types: ECharts supports the drawing of multiple chart types, such as bar charts, line charts, scatter charts, pie charts, etc.

4. Powerful interaction capabilities: ECharts supports a variety of interaction methods, such as drag and drop, zoom, linkage, etc.

5. Highly customizable: ECharts provides a wealth of configuration items and expansion mechanisms to meet various user needs.

2. Introduction to Java interface

Java is an excellent programming language with powerful processing capabilities and rich third-party libraries. Java interface is a type of interface provided by Java programs to other programs or system calls. The Java interface mainly has the following characteristics:

1. Supports multiple data types: The Java interface can support the transmission of multiple data formats, such as JSON, XML, etc.

2. Improve data security: The Java interface can perform permission verification and data encryption to improve the security of data transmission.

3. Improve data reliability: The Java interface can perform data verification and exception handling to improve the reliability of data transmission.

4. Improve development efficiency: Java interface can realize code reuse and modular development, improving development efficiency.

3. Application of ECharts and Java interface

The combination of ECharts and Java interface can realize the design of statistical charts in a variety of data formats. The specific steps are as follows:

1. Back-end data processing: Use the Java interface to process data and convert the data into the data format supported by ECharts.

2. Front-end data display: Use ECharts to display data as statistical charts.

The following uses an example to show how to use ECharts and Java interfaces to implement statistical chart design in multiple data formats.

Example: Drawing bar charts and pie charts

Requirements: Use the Java interface to obtain data, convert the data into the JSON format supported by ECharts, and then use ECharts to draw histograms and pie charts.

1. Back-end code

First write the Java interface code to obtain the data and convert it into the JSON format supported by ECharts.

@RequestMapping(value = "/getChartData", method = RequestMethod.GET, produces = "application/json;charset=UTF-8")
@ResponseBody
public String getChartData() {
    List<ChartEntity> list = chartService.getChartData();
    Gson gson = new Gson();
    String json = gson.toJson(list);
    return json;
}

Among them, ChartEntity is a data entity class, containing two attributes: name and value.

2. Front-end code

Then write the front-end code and use ECharts to draw histograms and pie charts. Among them, the data is obtained through an Ajax asynchronous request to the Java interface, and then the data is converted into the JSON format supported by ECharts, and finally ECharts is used to draw histograms and pie charts.

// 引入ECharts
<script src="https://cdn.jsdelivr.net/npm/echarts/dist/echarts.min.js"></script>

// 绘制柱状图
var barChart = echarts.init(document.getElementById('bar-chart'));
$.ajax({
    url: "/getChartData",
    type: "GET",
    success: function(result) {
        var data = JSON.parse(result);
        var option = {
            title: {
                text: '柱状图'
            },
            xAxis: {
                type: 'category',
                data: data.map(function(item) {
                    return item.name;
                })
            },
            yAxis: {
                type: 'value'
            },
            series: [{
                data: data.map(function(item) {
                    return item.value;
                }),
                type: 'bar'
            }]
        };
        barChart.setOption(option);
    },
    error: function(error) {
        console.log(error);
    }
});

// 绘制饼图
var pieChart = echarts.init(document.getElementById('pie-chart'));
$.ajax({
    url: "/getChartData",
    type: "GET",
    success: function(result) {
        var data = JSON.parse(result);
        var option = {
            title: {
                text: '饼图',
                left: 'center'
            },
            series: [{
                name: '访问来源',
                type: 'pie',
                radius: '50%',
                data: data.map(function(item) {
                    return {
                        name: item.name,
                        value: item.value
                    }
                })
            }]
        };
        pieChart.setOption(option);
    },
    error: function(error) {
        console.log(error);
    }
});

In the above code, use the init method of ECharts to initialize the div container of the bar chart and pie chart, then use Ajax to obtain the data returned by the Java interface, convert the data into the JSON format supported by ECharts, and finally use ECharts The setOption method draws bar charts and pie charts.

4. Summary

This article introduces how to use ECharts and Java interfaces to implement statistical chart design in multiple data formats. Through the Java interface, data in different formats can be converted into the JSON format supported by ECharts, and then various statistical charts can be visualized through ECharts. The application of ECharts and Java interfaces can improve the efficiency and accuracy of data processing and visualization, and is an important direction in Web development.

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