


ECharts Water Polo Chart: How to display data proportion and goal completion
ECharts Water Polo Chart: How to display data proportion and goal completion
Introduction:
In the field of data visualization, the water polo chart is a commonly used chart type , can visually display the proportion of data and the achievement of goals. ECharts is a powerful data visualization library that provides a wealth of chart types for developers to choose from. This article will introduce in detail how to use ECharts to create a water polo chart and display data proportions and goal completion, and provide specific code examples.
1. What is a water polo diagram?
The water polo chart is a special donut chart that uses the size of the donut to represent the proportion of data, and adds a solid circle inside the donut to represent the completion of the goal. Water polo charts are usually used to display data such as percentages and progress. It visually reflects the gap between data and goals.
2. Use ECharts to create a water polo chart
-
Introduce the ECharts library
First, introduce the ECharts library into the project, which can be introduced by directly downloading the source code or using CDN . For example:<script src="https://cdnjs.cloudflare.com/ajax/libs/echarts/5.1.0/echarts.min.js"></script>
Copy after login Create container
Create a container in HTML to display the water polo diagram, for example:<div id="waterball-chart" style="width: 400px; height: 400px;"></div>
Copy after loginWrite JavaScript code
Use ECharts to create a water polo chart through JavaScript code and configure related parameters. The following is a sample code:// 初始化ECharts实例 var myChart = echarts.init(document.getElementById('waterball-chart')); // 指定图表的配置项和数据 var option = { series: [{ type: 'liquidFill', data: [0.6], // 数据占比,范围为[0,1] shape: 'circle', outline: { show: false }, backgroundStyle: { color: '#FFA500' }, label: { show: true, position: ['50%', '50%'], formatter: function(value) { return Math.round(value * 100) + '%'; // 格式化显示百分比 }, fontSize: 32, fontWeight: 'bold' }, itemStyle: { color: '#FF4500' }, emphasis: { itemStyle: { color: '#FF0000' } } }] }; // 使用刚指定的配置项和数据显示图表 myChart.setOption(option);
Copy after loginRendering chart
Apply configuration items to the water polo chart by calling thesetOption
method and render it. For example:myChart.setOption(option);
Copy after login
3. Code analysis
In the above example code, we created a water polo chart through the liquidFill
type of ECharts. Among them, the configuration item series
is used to configure the style, data and other information of the water polo chart. The
-
data
field indicates the data proportion, and the value range is [0,1]. In the example, the data proportion is 0.6, which is 60%. The -
shape
field indicates the shape of the water polo diagram, which can be set tocircle
(circle) orrect
(rectangle). The -
outline
field indicates whether to display the outline of the water polo diagram, which is set to not be displayed here. The -
backgroundStyle
field indicates the background style of the water polo diagram. In the example, the color is orange (#FFA500). The -
label
field represents the text label displayed in the water polo diagram, by setting parameters such asshow
,position
,formatter
, etc. Control the display position and format of labels. The -
itemStyle
field represents the fill style of the water polo diagram. In the example, the color is orange-red (#FF4500). The -
emphasis
field indicates the highlight style of the water polo chart. In the example, the highlight color is red (#FF0000).
By modifying the values of these configuration items, you can create and customize water polo charts according to your own needs.
Conclusion:
This article introduces in detail how to use ECharts to create a water polo chart, and shows the data proportion and goal completion. Through simple code examples, I hope readers can quickly get started using ECharts to draw water polo diagrams and customize them according to actual needs. ECharts is a powerful and easy-to-use data visualization library that can help developers better display and understand data. Try using ECharts to create a water polo chart to make your data visualization more vivid and interesting!
Reference link:
- ECharts official document: https://echarts.apache.org/zh/index.html
- ECharts official example: https:/ /echarts.apache.org/examples/zh/index.html
The above is the detailed content of ECharts Water Polo Chart: How to display data proportion and goal completion. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



ECharts and Java interface: How to quickly implement statistical charts such as line charts, bar charts, and pie charts. Specific code examples are required. With the advent of the Internet era, data analysis has become more and more important. Statistical charts are a very intuitive and powerful display method. Charts can display data more clearly, allowing people to better understand the connotation and patterns of the data. In Java development, we can use ECharts and Java interfaces to quickly display various statistical charts. ECharts is a software developed by Baidu

In today's context where data visualization is becoming more and more important, many developers hope to use various tools to quickly generate various charts and reports so that they can better display data and help decision-makers make quick judgments. In this context, using the Php interface and ECharts library can help many developers quickly generate visual statistical charts. This article will introduce in detail how to use the Php interface and ECharts library to generate visual statistical charts. In the specific implementation, we will use MySQL

The steps to draw a dashboard using ECharts and Python interface require specific code examples. Summary: ECharts is an excellent data visualization tool that can easily perform data processing and graphics drawing through the Python interface. This article will introduce the specific steps to draw a dashboard using ECharts and Python interface, and provide sample code. Keywords: ECharts, Python interface, dashboard, data visualization Introduction Dashboard is a commonly used form of data visualization, which uses

How to use a map heat map to display city heat in ECharts ECharts is a powerful visual chart library that provides various chart types for developers to use, including map heat maps. Map heat maps can be used to show the popularity of cities or regions, helping us quickly understand the popularity or density of different places. This article will introduce how to use the map heat map in ECharts to display city heat, and provide code examples for reference. First, we need a map file containing geographic information, EC

How to use calendar charts to display time data in ECharts ECharts (Baidu’s open source JavaScript chart library) is a powerful and easy-to-use data visualization tool. It offers a variety of chart types, including line charts, bar charts, pie charts, and more. The calendar chart is a very distinctive and practical chart type in ECharts, which can be used to display time-related data. This article will introduce how to use calendar charts in ECharts and provide specific code examples. First, you need to use

ECharts and golang technical guide: Practical tips for creating various statistical charts, specific code examples are required. Introduction: In the field of modern data visualization, statistical charts are an important tool for data analysis and visualization. ECharts is a powerful data visualization library, while golang is a fast, reliable and efficient programming language. This article will introduce you to how to use ECharts and golang to create various types of statistical charts, and provide code examples to help you master this skill. Preparation

How to use ECharts and PHP interfaces to generate statistical charts Introduction: In modern web application development, data visualization is a very important link, which can help us display and analyze data intuitively. ECharts is a powerful open source JavaScript chart library. It provides a variety of chart types and rich interactive functions, and can easily generate various statistical charts. This article will introduce how to use ECharts and PHP interfaces to generate statistical charts, and give specific code examples. 1. Overview of ECha

How to use histograms to display data in ECharts ECharts is a JavaScript-based data visualization library that is very popular and widely used in the field of data visualization. Among them, the histogram is the most common and commonly used chart type, which can be used to display the size, comparison and trend analysis of various numerical data. This article will introduce how to use ECharts to draw histograms and provide code examples. First, we need to introduce the ECharts library into the HTML file, which can be introduced in the following way
