Use ECharts and golang to create diverse statistical charts

Use ECharts and Golang to create diversified statistical charts

Abstract: This article introduces how to use ECharts and Golang to achieve diversified statistical charts. By combining the powerful data visualization capabilities of ECharts and the efficient processing capabilities of Golang, we can easily create various types of statistical charts. This article will use specific code examples to demonstrate how to use ECharts and Golang to implement bar charts, line charts, and pie charts.

1. Background and Introduction
Statistical charts are an important tool for data analysis and presentation. Statistical charts can visually display the distribution, trends and relationships of data, helping people better understand and analyze the data. ECharts is an open source JavaScript chart library that provides a rich variety of chart types and interactive effects and is very suitable for data visualization development. Golang is a statically typed, compiled, high-performance language that has the advantages of concurrent programming and is very suitable for data processing and calculations. Combining ECharts and Golang, we can achieve efficient, flexible and diverse statistical charts.

2. Bar chart example
The bar chart is a common statistical chart used to show the comparative relationship between different groups or categories of data. The following is a sample code that uses ECharts and Golang to implement a histogram:

// 导入必要的库
import (
    "net/http"
    "github.com/gin-gonic/gin"
)

// 创建柱状图数据
func createBarData() [][2]interface{} {
    data := make([][2]interface{}, 0)
    data = append(data, [2]interface{}{"类别1", 100})
    data = append(data, [2]interface{}{"类别2", 200})
    data = append(data, [2]interface{}{"类别3", 150})
    return data
}

// 创建柱状图路由
func createBarRouter() {
    router := gin.Default()

    // 创建柱状图数据接口
    router.GET("/bar", func(c *gin.Context) {
        c.JSON(http.StatusOK, gin.H{
            "data": createBarData(),
        })
    })

    router.Run(":8080")
}

// 主函数
func main() {
    createBarRouter()
}

The above code creates a simple HTTP server through Golang's HTTP library and defines an interface that returns histogram data. The implementation of the interface uses the data format of ECharts, which is a two-dimensional array containing categories and data values.

3. Line chart example
A line chart is a statistical chart used to show the trend of data over time or other continuous variables. The following is a sample code that uses ECharts and Golang to implement a line chart:

// 导入必要的库
import (
    "net/http"
    "github.com/gin-gonic/gin"
)

// 创建折线图数据
func createLineData() [][2]interface{} {
    data := make([][2]interface{}, 0)
    data = append(data, [2]interface{}{"时间1", 100})
    data = append(data, [2]interface{}{"时间2", 200})
    data = append(data, [2]interface{}{"时间3", 150})
    return data
}

// 创建折线图路由
func createLineRouter() {
    router := gin.Default()

    // 创建折线图数据接口
    router.GET("/line", func(c *gin.Context) {
        c.JSON(http.StatusOK, gin.H{
            "data": createLineData(),
        })
    })

    router.Run(":8081")
}

// 主函数
func main() {
    createLineRouter()
}

Similarly, the above code creates a simple HTTP server through Golang's HTTP library and defines an interface that returns line chart data. The data format of ECharts is used in the implementation of the interface.

4. Pie chart example
A pie chart is a statistical chart used to display the relationship between data proportions. The following is a sample code that uses ECharts and Golang to implement a pie chart:

// 导入必要的库
import (
    "net/http"
    "github.com/gin-gonic/gin"
)

// 创建饼图数据
func createPieData() []map[string]interface{} {
    data := make([]map[string]interface{}, 0)
    data = append(data, map[string]interface{}{
        "name": "类别1",
        "value": 100,
    })
    data = append(data, map[string]interface{}{
        "name": "类别2",
        "value": 200,
    })
    data = append(data, map[string]interface{}{
        "name": "类别3",
        "value": 150,
    })
    return data
}

// 创建饼图路由
func createPieRouter() {
    router := gin.Default()

    // 创建饼图数据接口
    router.GET("/pie", func(c *gin.Context) {
        c.JSON(http.StatusOK, gin.H{
            "data": createPieData(),
        })
    })

    router.Run(":8082")
}

// 主函数
func main() {
    createPieRouter()
}

Similarly, the above code creates a simple HTTP server through Golang's HTTP library and defines an interface that returns pie chart data. The data format of ECharts is used in the implementation of the interface.

Conclusion:
Through the sample code in this article, we can see that various types of statistical charts can be easily created using ECharts and Golang. Through the rich variety of chart types and interactive effects provided by ECharts, combined with Golang's efficient processing capabilities, we can analyze and display data more efficiently. Readers can further expand the code according to specific needs to achieve more complex and diverse statistical charts.

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