Statistical chart design for multi-dimensional data analysis based on ECharts and Java interface
- WBOYOriginal
- 2023-12-17 15:47:261300browse
Title: Statistical chart design to implement multi-dimensional data analysis based on ECharts and Java interface
Abstract: With the advent of the big data era, data analysis is playing an important role in various industries play an increasingly important role. This article will introduce how to use ECharts and Java interfaces to implement statistical chart design for multi-dimensional data analysis. Through specific code examples, readers can understand how to use ECharts for data visualization, and how to obtain data through the Java interface for multi-dimensional statistical analysis. I hope this article can provide some reference and help to readers who are interested in data analysis and data visualization.
1. Introduction
With the rapid development of the Internet and the Internet of Things, the speed of data generation is getting faster and faster. How to extract valuable information from massive data has become one of the key issues in various industries. Data analysis helps people better understand data and mine useful information and patterns through the organization, analysis and visualization of data. Data visualization presents data through graphics such as charts to make the data more intuitive and understandable.
2. Introduction to ECharts
ECharts is an open source visualization library developed by Baidu that supports a variety of chart types, such as line charts, bar charts, pie charts, etc. ECharts has rich interactive functions, which can be interacted through zooming, dragging and other operations, and can be used in conjunction with other chart libraries.
3. Java interface to obtain data
In actual projects, it is usually necessary to obtain data through the Java backend. You can use Spring Boot, Spring MVC and other frameworks for development. Suppose we need to obtain one year's sales data, we can define a Controller interface, obtain the data by calling the Service layer method, and return it to the front end.
@RestController
@RequestMapping("/sales")
public class SalesController {
@Autowired
private SalesService salesService;
@GetMapping("/yearly")
public List<Double> getYearlySales() {
return salesService.getYearlySales();
}
}4. ECharts chart design
In the front-end page, use ECharts to display the acquired data as a statistical chart. Taking the line chart as an example, you can first introduce the ECharts script file into the HTML page and create a container to display the chart.
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>多维度数据分析</title>
<script src="https://cdn.bootcss.com/echarts/4.5.0/echarts.min.js"></script>
</head>
<body>
<div id="salesChart" style="width: 800px; height: 600px;"></div>
<script>
var chartDom = document.getElementById('salesChart');
var myChart = echarts.init(chartDom);
var option;
// 调用Java接口获取数据
fetch('/sales/yearly').then(response => response.json())
.then(data => {
option = {
xAxis: {
type: 'category',
data: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
},
yAxis: {
type: 'value'
},
series: [{
data: data,
type: 'line'
}]
};
myChart.setOption(option);
});
</script>
</body>
</html>Through the above code, we can open the page in the browser, obtain the sales data returned by the backend and display it through a line chart.
5. Summary
This article introduces how to use ECharts and Java interfaces to implement statistical chart design for multi-dimensional data analysis. Through specific code examples, readers can learn how to use ECharts to design charts and how to obtain data through the Java interface for multi-dimensional statistical analysis. I hope this article can provide some reference and help to readers who are interested in data analysis and data visualization. Let us sail in the ocean of data and discover our own treasures.
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