Home Web Front-end uni-app UniApp realizes the integration and usage skills of data statistics and analysis

UniApp realizes the integration and usage skills of data statistics and analysis

Jul 05, 2023 pm 10:31 PM
android Can develop ios at the same time Used to understand user behavior

UniApp is a cross-platform application framework developed based on Vue.js, which can enable a set of codes to run on multiple platforms at the same time, including iOS, Android, H5, etc. With the widespread application of UniApp in the field of mobile application development, the demand for data statistics and analysis has gradually increased. This article will introduce how to integrate data statistics and analysis functions in UniApp, and give usage tips and related code examples.

1. Integrated data statistics and analysis functions

1. Choose appropriate data statistics and analysis tools
There are many data statistics and analysis tools on the market to choose from, such as Umeng Statistics , Baidu Statistics, Tencent Statistics, etc. Choose the appropriate tool according to the needs and actual conditions of your project, and integrate it according to its official documentation.

2. Register an account for data statistics and analysis tools
Before integration, you need to register an account for the corresponding tool and obtain the corresponding statistics and analysis code or SDK.

3. Integrate the code or SDK of data statistics and analysis tools
Introduce the corresponding statistics and analysis code or SDK into the entry file main.js of the UniApp project, and follow the instructions in the official documentation Configuration and initialization.

Taking Umeng statistics as an example, you first need to introduce the code of Umeng statistics in main.js:

import uCharts from '@/lib/u-charts/u-charts.js'
Vue.prototype.$uCharts = uCharts
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Then initialize Umeng statistics in the App instance in main.js :

import UMAnalytics from '@/lib/umeng/umAnalytics.min.js'
Vue.prototype.$umeng = UMAnalytics
App.mpType = 'app'

const app = new Vue({
  ...App
})

Vue.prototype.$umeng.init('YOUR_APP_KEY') // 初始化友盟统计,替换YOUR_APP_KEY为你的App Key
app.$mount()
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2. Tips for using data statistics and analysis

1. Set basic statistical events
In UniApp, you can set basic statistical events by burying points, such as page visits, Button clicks, user actions, etc. Depending on the needs, corresponding embedding points can be made in the life cycle function of each page to track user behavior and statistical data.

Take page visit statistics as an example, add statistical code in the onShow life cycle function of each page:

onShow() {
  // 统计页面访问
  this.$umeng.pageView(this.$mp.page.route)
}
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Take button click statistics as an example, add statistical code in the click event of the button :

<button @click="clickHandler">点击按钮</button>
...
methods: {
  clickHandler() {
    // 统计按钮点击
    this.$umeng.event('click_button', '点击按钮')
  }
}
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2. Customized event statistics
Sometimes it is necessary to customize some specific statistical events according to business needs, such as form submission, payment completion, etc. Custom event statistics can be implemented by calling the interface provided by the corresponding data statistics and analysis tool.

Take Umeng Statistics as an example. After the form is submitted successfully, you can call the event interface provided by Umeng Statistics to count events:

formSubmit() {
  // 提交表单
  // ...
  // 统计表单提交
  this.$umeng.event('form_submit', '表单提交成功')
}
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3. Summary

Through the above Steps, we can easily integrate data statistics and analysis functions in UniApp, and perform statistics and analysis according to actual needs. During the development process, we can set basic statistical events and custom events according to different situations to achieve more comprehensive data statistics and analysis.

In actual development, it is necessary to configure and call accordingly according to the documentation and interface of the specific statistical and analysis tools. Through data statistics and analysis, we can better understand user behavior and data changes, providing strong support for product optimization and decision-making.

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