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Advanced Guide to PHP and Vue.js: How to handle statistical charts that parse and filter data

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Advanced Guide to PHP and Vue.js: How to handle statistical charts that parse and filter data

Advanced Guide to PHP and Vue.js: How to handle statistical charts that parse and filter data

Introduction:
In modern development, data visualization is a Very important aspect. The use of statistical charts can help us understand and analyze data more intuitively. This article will introduce how to use PHP and Vue.js to process, parse and filter data, and generate statistical charts.

1. Preparation

  1. Install the PHP environment and configure the server.
  2. Install Vue.js and related dependencies.

2. Back-end data processing
PHP is a powerful server-side language that can be used to process and parse data. In this example, we will use PHP to process the data obtained from the database query and return it to the front end in JSON format.

The following is a simple PHP code example for parsing database query data into JSON format and returning it to the front end:

<?php
  // 连接数据库
  $conn = mysqli_connect("localhost", "username", "password", "database_name");

  // 执行查询语句
  $result = mysqli_query($conn, "SELECT * FROM table_name");

  // 将查询结果解析为JSON格式
  $data = array();
  while ($row = mysqli_fetch_assoc($result)) {
    $data[] = $row;
  }
  $json_data = json_encode($data);

  // 返回JSON数据给前端
  echo $json_data;
?>

3. Front-end data parsing and filtering
Vue. js is a popular JavaScript framework that can help us process and operate front-end data more conveniently.

The following is a simple Vue.js code example for parsing and filtering JSON data received from the backend and using it to generate statistical charts:

<template>
  <div>
    <select v-model="selectedCategory" @change="filterData">
      <option value="">All</option>
      <option v-for="category in categories" :value="category">{{ category }}</option>
    </select>
    <canvas ref="chart"></canvas>
  </div>
</template>

<script>
import Chart from 'chart.js';

export default {
  data() {
    return {
      rawData: [],
      filteredData: [],
      selectedCategory: '',
      categories: []
    };
  },
  mounted() {
    this.getData();
  },
  methods: {
    getData() {
      // 发送GET请求,获取后端数据
      axios.get('api.php')
        .then(response => {
          this.rawData = response.data;
          this.filteredData = this.rawData;
          this.getCategories();
          this.generateChart();
        })
        .catch(error => {
          console.error(error);
        });
    },
    getCategories() {
      // 获取数据中的分类
      this.categories = [...new Set(this.rawData.map(item => item.category))];
    },
    filterData() {
      // 根据选择的分类过滤数据
      if (this.selectedCategory === '') {
        this.filteredData = this.rawData;
      } else {
        this.filteredData = this.rawData.filter(item => item.category === this.selectedCategory);
      }
      this.generateChart();
    },
    generateChart() {
      // 根据过滤后的数据生成统计图表
      const ctx = this.$refs.chart.getContext('2d');
      const chartData = this.filteredData.map(item => item.value);
      const chartLabels = this.filteredData.map(item => item.label);

      new Chart(ctx, {
        type: 'bar',
        data: {
          labels: chartLabels,
          datasets: [{
            label: 'Chart',
            data: chartData
          }]
        }
      });
    }
  }
};
</script>

In the above example , we used Axios to send GET requests and obtain backend data. Through Vue's data binding, we can update data in real time based on the selected classification.

4. Summary
Through the cooperation of PHP and Vue.js, we can easily process and parse data and generate statistical charts. PHP can help us get data from the backend and parse it into JSON format, while Vue.js provides powerful data processing and manipulation capabilities, allowing us to filter and generate charts in real time as needed.

Of course, the sample code in this article is just a simple demonstration, and there may be more complex scenarios in actual development. I hope this article can provide you with some guidance and help in processing statistical charts that parse and filter data in PHP and Vue.js.

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