


How to use funnel rose chart to display data proportion and conversion rate in ECharts
How to use the funnel rose chart to display data proportion and conversion rate in ECharts
Overview:
The funnel rose chart is a commonly used data visualization chart. It can clearly display the proportion of data and conversion rate. In ECharts, we can easily achieve the display effect of funnel rose chart through simple data processing and configuration. This article will introduce how to use the funnel rose chart in ECharts to display data proportion and conversion rate, and provide corresponding code examples.
Step 1: Prepare data
First, we need to prepare the data to be displayed. Suppose we have the following data:
var data = [ { value: 100, name: '阶段1' }, { value: 80, name: '阶段2' }, { value: 60, name: '阶段3' }, { value: 40, name: '阶段4' }, { value: 20, name: '阶段5' } ];
Among them, value represents the amount of data in each stage, and name represents the name of each stage.
Step 2: Configure the chart
Next, we need to configure the style and properties of the funnel rose chart. The following is a simple configuration example:
var option = { series: [ { name: '漏斗玫瑰图', type: 'pie', radius: ['40%', '55%'], center: ['50%', '50%'], roseType: 'radius', label: { show: false }, emphasis: { label: { show: true } }, data: data } ] };
The key points in the configuration include:
- type specifies the chart type as 'pie', which is a pie chart.
- radius sets the inner and outer radius of the pie chart, represented here by an array. ['40%', '55%'] means that the inner radius is 40% and the outer radius is 55%.
- center sets the center point position of the pie chart, represented here by an array. ['50%', '50%'] means at the center of the canvas.
- roseType sets the pie chart type to 'radius', which represents a funnel rose chart.
- data sets the data source of the pie chart. The data prepared above is used here.
Step 3: Draw the chart
Finally, we need to draw the chart through the ECharts instance. In the HTML page, we create a script tag containing the following code:
var myChart = echarts.init(document.getElementById('chart')); myChart.setOption(option);
In the above code, we use the document.getElementById('chart') method to obtain the container div used to display the chart in the HTML page. And pass it to the echarts.init() method to create an ECharts instance. Then, we call the setOption() method to set configuration items for the instance.
To sum up, through the above three steps, we can use the funnel rose chart to display the proportion of data and conversion rate in ECharts. The complete code is as follows:
<!DOCTYPE html> <html> <head> <meta charset="utf-8"> <title>漏斗玫瑰图</title> <script src="https://cdn.jsdelivr.net/npm/echarts@5.2.0/dist/echarts.min.js"></script> </head> <body> <div id="chart" style="width: 600px; height: 400px;"></div> <script> var data = [ { value: 100, name: '阶段1' }, { value: 80, name: '阶段2' }, { value: 60, name: '阶段3' }, { value: 40, name: '阶段4' }, { value: 20, name: '阶段5' } ]; var option = { series: [ { name: '漏斗玫瑰图', type: 'pie', radius: ['40%', '55%'], center: ['50%', '50%'], roseType: 'radius', label: { show: false }, emphasis: { label: { show: true } }, data: data } ] }; var myChart = echarts.init(document.getElementById('chart')); myChart.setOption(option); </script> </body> </html>
Through the above code, run the HTML page in the browser, and you will be able to see a chart called "Funnel Rose Chart", showing the proportion of data and conversion rate .
Conclusion:
This article introduces how to use the funnel rose chart to display the proportion and conversion rate of data in ECharts. Through simple data processing and configuration, we can easily achieve the display effect of funnel rose chart. I hope that readers can understand the basic ECharts usage skills through this article, and apply and expand them in actual data visualization projects.
The above is the detailed content of How to use funnel rose chart to display data proportion and conversion rate in ECharts. 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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

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

Does ECharts need to rely on jQuery? Detailed interpretation requires specific code examples. ECharts is an excellent data visualization library that provides a rich range of chart types and interactive functions and is widely used in web development. When using ECharts, many people will have a question: Does ECharts need to rely on jQuery? This article will explain this in detail and give specific code examples. First, to be clear, ECharts itself does not rely on jQuery;

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
