How to use Go language for data visualization analysis?

With the advent of the big data era, data visualization analysis plays a vital role in all walks of life. As a fast, efficient and safe programming language, Go language has gradually occupied a place in the field of data visualization analysis. This article will explore how to use Go language for data visualization analysis.

1. Commonly used data visualization library in Go language

1. Plotly: can be used to create interactive graphics in the browser, supporting multiple graphics types, such as line graphs and bars Graphs, scatter plots, heat maps, etc.
2. Gonum/plot: A library designed for scientific computing and data visualization, supporting multiple graph types such as scatter plots, line plots, histograms, etc.
3. GoChart: A simple and easy-to-use library that supports basic graph types such as line charts, area charts, bar charts, etc.

The above three data visualization libraries are commonly used libraries in the Go language. You can choose the appropriate library to use according to your needs.

2. Use Plotly for data visualization analysis

Plotly is a very powerful and easy-to-use visualization library that can be used to create beautiful interactive charts and supports multiple languages, such as JavaScript, Python, R, MATLAB, etc. In the Go language, we can use the Golang binding package plotly-go based on Plotly.js to create beautiful charts.

1. Install plotly-go

Use the go get command to install plotly-go:

go get github.com/plotly/plotly.go

2. Import plotly-go

Import plotly-go in code:

import (
    "github.com/plotly/plotly.go"
    "github.com/plotly/plotly.go/opts"
)

3. Create a chart

fig := &plotly.Figure{
    Data: []*plotly.Trace{
        opts.NewScatterTrace(x, y, opts.WithName("散点图")),
    },
    Layout: plotly.Layout{
        Title: "散点图",
        XAxis: plotly.XAxis{
            Title: "X 轴",
        },
        YAxis: plotly.YAxis{
            Title: "Y 轴",
        },
    },
}

4. Export the chart as an HTML file

file, err := os.Create("scatter.html")
if err != nil {
    log.Fatal(err)
}
defer file.Close()

err = fig.WriteHTML(file)
if err != nil {
    log.Fatal(err)
}

5. Conclusion

This article introduces how to use Go language for data visualization analysis. The Go language has a variety of data visualization libraries, among which Plotly is a powerful library. You can easily create beautiful interactive charts using the plotly-go package. Of course, different libraries can be used in different scenarios, and you can choose different libraries to use according to your own needs.

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