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Product comparison visualization

Author:Chuan Chen 阅读数:1909人阅读 分类: ECharts

Core Value of Product Comparison Visualization

Product comparison visualization helps users quickly identify key advantages and disadvantages by intuitively displaying parameter differences between products through graphical representations. ECharts, as a powerful data visualization library, offers rich chart types and interactive features, making it particularly suitable for implementing dynamic, multi-dimensional product comparison scenarios.

Basic Comparison Chart Implementation

Bar Chart Comparison

The most basic comparison method is to display numerical indicators of different products using side-by-side bar charts:

option = {
  title: { text: 'Smartphone Parameter Comparison' },
  tooltip: {},
  legend: { data: ['iPhone 15', 'Xiaomi 14'] },
  xAxis: {
    data: ['Screen Size', 'Battery Capacity', 'Camera Pixels', 'RAM']
  },
  yAxis: {},
  series: [
    {
      name: 'iPhone 15',
      type: 'bar',
      data: [6.1, 3349, 4800, 6]
    },
    {
      name: 'Xiaomi 14',
      type: 'bar',
      data: [6.36, 4610, 5000, 12]
    }
  ]
};

Radar Chart Multi-Dimensional Comparison

When comparing multiple dimensions, radar charts provide a more comprehensive display of product features:

option = {
  title: { text: 'Automotive Performance Comparison' },
  radar: {
    indicator: [
      { name: 'Power', max: 100 },
      { name: 'Comfort', max: 100 },
      { name: 'Safety', max: 100 },
      { name: 'Fuel Efficiency', max: 100 },
      { name: 'Space', max: 100 }
    ]
  },
  series: [{
    type: 'radar',
    data: [
      {
        value: [85, 90, 95, 70, 80],
        name: 'Model A'
      },
      {
        value: [95, 80, 85, 75, 70],
        name: 'Model B'
      }
    ]
  }]
};

Advanced Comparison Techniques

Parallel Coordinate System Comparison

For comparisons involving more than five dimensions, parallel coordinates are a better choice:

option = {
  parallelAxis: [
    { dim: 0, name: 'CPU Cores' },
    { dim: 1, name: 'GPU Frequency' },
    { dim: 2, name: 'Memory Bandwidth' },
    { dim: 3, name: 'Storage Speed' },
    { dim: 4, name: 'Thermal Performance' },
    { dim: 5, name: 'Price Index' }
  ],
  series: {
    type: 'parallel',
    data: [
      [8, 1800, 256, 3500, 85, 1200],
      [12, 2100, 320, 7000, 75, 1800],
      [16, 2400, 512, 12000, 65, 2500]
    ]
  }
};

Heatmap Matrix Comparison

For comparing multiple products across multiple metrics, a heatmap format can be used:

const products = ['Laptop A', 'Laptop B', 'Laptop C'];
const metrics = ['Weight', 'Battery Life', 'Performance', 'Display', 'Expandability'];
const data = [
  [1.2, 8, 85, 90, 70],
  [1.5, 12, 75, 85, 90],
  [2.1, 15, 65, 80, 85]
];

option = {
  tooltip: { position: 'top' },
  grid: { left: '10%' },
  xAxis: { type: 'category', data: metrics },
  yAxis: { type: 'category', data: products },
  visualMap: {
    min: 0,
    max: 100,
    calculable: true,
    orient: 'horizontal',
    left: 'center'
  },
  series: [{
    type: 'heatmap',
    data: data.flatMap((row, i) => 
      row.map((value, j) => [j, i, value])
    ),
    label: { show: true }
  }]
};

Interactive Enhancement Design

Dynamic Filter Comparison

Implement dynamic comparisons by adding data filtering components:

option = {
  dataset: {
    dimensions: ['product', 'price', 'rating', 'sales'],
    source: [
      ['A', 299, 4.5, 1200],
      ['B', 399, 4.2, 800],
      ['C', 199, 4.0, 1500],
      ['D', 499, 4.8, 600]
    ]
  },
  toolbox: {
    feature: {
      dataZoom: { yAxisIndex: 'none' },
      magicType: { type: ['line', 'bar'] },
      restore: {}
    }
  },
  tooltip: { trigger: 'axis' },
  xAxis: { type: 'category' },
  yAxis: {},
  series: [{ type: 'bar' }, { type: 'bar' }]
};

Linked Comparison Views

Achieve comprehensive comparisons through multi-chart linkage:

// Main comparison chart
const mainChart = echarts.init(document.getElementById('main'));
mainChart.setOption({
  // ...Bar chart configuration
  brush: {
    throttleType: 'debounce',
    throttleDelay: 300,
    toolbox: ['rect', 'keep', 'clear']
  }
});

// Detail chart
const detailChart = echarts.init(document.getElementById('detail'));
detailChart.setOption({
  // ...Radar chart configuration
});

// Implement brush linkage
mainChart.on('brushSelected', function(params) {
  const selectedData = params.batch[0].selected[0].dataIndex;
  // Update detailChart data...
});

Performance Optimization Strategies

Large Data Volume Comparison

When comparing more than 50 products:

option = {
  dataZoom: [{
    type: 'slider',
    filterMode: 'filter'
  }],
  series: {
    type: 'scatter',
    large: true,
    symbolSize: function(data) {
      return Math.sqrt(data[2]) * 2;
    },
    data: new Array(1000).fill(0).map(() => [
      Math.random() * 100,
      Math.random() * 100,
      Math.random() * 1000
    ])
  }
};

WebGL Accelerated Rendering

For 3D product comparison scenarios:

option = {
  grid3D: {},
  xAxis3D: { type: 'value' },
  yAxis3D: { type: 'category', data: ['Size','Weight','Performance'] },
  zAxis3D: { type: 'value' },
  series: [{
    type: 'bar3D',
    shading: 'lambert',
    data: [
      [10, 0, 5],
      [15, 0, 8],
      [12, 1, 6],
      // ...More data
    ],
    emphasis: {
      itemStyle: { color: '#ddb310' }
    }
  }]
};

Mobile Adaptation Solutions

Responsive Layout Implementation

Optimize comparison views for mobile devices:

function resizeChart() {
  const width = window.innerWidth;
  const option = {
    grid: {
      left: width < 600 ? '10%' : '15%',
      right: width < 600 ? '5%' : '10%'
    },
    legend: {
      orient: width < 600 ? 'horizontal' : 'vertical',
      top: width < 600 ? 'bottom' : 'middle'
    }
  };
  myChart.setOption(option);
}

window.addEventListener('resize', resizeChart);

Touch Interaction Optimization

Enhance mobile touch experience:

option = {
  // ...Basic configuration
  touch: {
    pan: true,
    zoom: true,
    rotate: true
  },
  series: {
    // ...Series configuration
    progressive: 200,
    progressiveThreshold: 1000
  }
};

Real-Time Data Updates

Dynamic Data Comparison

Implement real-time data comparison display:

function fetchData() {
  // Simulate API request
  return Promise.resolve({
    products: ['X', 'Y', 'Z'],
    metrics: ['QPS', 'Latency', 'Error'],
    values: [
      [1200, 35, 0.2],
      [800, 50, 0.5],
      [1500, 25, 0.1]
    ]
  });
}

setInterval(() => {
  fetchData().then(data => {
    myChart.setOption({
      dataset: { source: data.values },
      xAxis: { data: data.metrics },
      series: data.products.map(name => ({
        name,
        type: 'line'
      }))
    });
  });
}, 5000);

Accessibility Support

Screen Reader Adaptation

Ensure accessibility for visually impaired users:

option = {
  aria: {
    enabled: true,
    description: 'Comparison chart of three smartphone main parameters',
    label: {
      description: '{product}\'s {metric} value is {value}'
    }
  },
  // ...Other configurations
};

High Contrast Mode

Provide accessible color schemes:

option = {
  color: ['#003f5c', '#58508d', '#bc5090'],
  backgroundColor: '#f8f9fa',
  textStyle: {
    color: '#212529',
    fontFamily: 'Arial, sans-serif',
    fontSize: 14
  }
};

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