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537 lines
24 KiB
537 lines
24 KiB
9 years ago
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<html>
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<head>
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<meta charset='utf-8'>
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<script src='esl.js'></script>
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<script src='config.js'></script>
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<script src='lib/jquery.min.js'></script>
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<meta name="viewport" content="width=device-width, initial-scale=1" />
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</head>
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<body>
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<style>
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html, body, #main {
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width: 100%;
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height: 100%;
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margin: 0;
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}
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</style>
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<div id='main'></div>
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<script>
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require([
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'echarts',
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'echarts/chart/scatter',
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'echarts/chart/effectScatter',
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'echarts/component/legend',
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'echarts/component/geo'
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], function (echarts) {
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var data = [
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{name: '海门', value: 9},
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{name: '鄂尔多斯', value: 12},
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{name: '招远', value: 12},
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{name: '舟山', value: 12},
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{name: '齐齐哈尔', value: 14},
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{name: '盐城', value: 15},
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{name: '赤峰', value: 16},
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{name: '青岛', value: 18},
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{name: '乳山', value: 18},
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{name: '金昌', value: 19},
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{name: '泉州', value: 21},
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{name: '莱西', value: 21},
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{name: '日照', value: 21},
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{name: '胶南', value: 22},
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{name: '南通', value: 23},
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{name: '拉萨', value: 24},
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{name: '云浮', value: 24},
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{name: '梅州', value: 25},
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{name: '文登', value: 25},
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{name: '上海', value: 25},
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{name: '攀枝花', value: 25},
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{name: '威海', value: 25},
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{name: '承德', value: 25},
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{name: '厦门', value: 26},
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{name: '汕尾', value: 26},
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{name: '潮州', value: 26},
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{name: '丹东', value: 27},
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{name: '太仓', value: 27},
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{name: '曲靖', value: 27},
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{name: '烟台', value: 28},
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{name: '福州', value: 29},
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{name: '瓦房店', value: 30},
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{name: '即墨', value: 30},
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{name: '抚顺', value: 31},
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{name: '玉溪', value: 31},
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{name: '张家口', value: 31},
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{name: '阳泉', value: 31},
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{name: '莱州', value: 32},
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{name: '湖州', value: 32},
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{name: '汕头', value: 32},
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{name: '昆山', value: 33},
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{name: '宁波', value: 33},
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{name: '湛江', value: 33},
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{name: '揭阳', value: 34},
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{name: '荣成', value: 34},
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{name: '连云港', value: 35},
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{name: '葫芦岛', value: 35},
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{name: '常熟', value: 36},
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{name: '东莞', value: 36},
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{name: '河源', value: 36},
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{name: '淮安', value: 36},
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{name: '泰州', value: 36},
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{name: '南宁', value: 37},
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{name: '营口', value: 37},
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{name: '惠州', value: 37},
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{name: '江阴', value: 37},
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{name: '蓬莱', value: 37},
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{name: '韶关', value: 38},
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{name: '嘉峪关', value: 38},
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{name: '广州', value: 38},
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{name: '延安', value: 38},
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{name: '太原', value: 39},
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{name: '清远', value: 39},
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{name: '中山', value: 39},
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{name: '昆明', value: 39},
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{name: '寿光', value: 40},
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{name: '盘锦', value: 40},
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{name: '长治', value: 41},
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{name: '深圳', value: 41},
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{name: '珠海', value: 42},
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{name: '宿迁', value: 43},
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{name: '咸阳', value: 43},
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{name: '铜川', value: 44},
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{name: '平度', value: 44},
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{name: '佛山', value: 44},
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{name: '海口', value: 44},
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{name: '江门', value: 45},
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{name: '章丘', value: 45},
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{name: '肇庆', value: 46},
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{name: '大连', value: 47},
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{name: '临汾', value: 47},
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{name: '吴江', value: 47},
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{name: '石嘴山', value: 49},
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{name: '沈阳', value: 50},
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{name: '苏州', value: 50},
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{name: '茂名', value: 50},
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{name: '嘉兴', value: 51},
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{name: '长春', value: 51},
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{name: '胶州', value: 52},
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{name: '银川', value: 52},
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{name: '张家港', value: 52},
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{name: '三门峡', value: 53},
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{name: '锦州', value: 54},
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{name: '南昌', value: 54},
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{name: '柳州', value: 54},
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{name: '三亚', value: 54},
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{name: '自贡', value: 56},
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{name: '吉林', value: 56},
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{name: '阳江', value: 57},
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{name: '泸州', value: 57},
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{name: '西宁', value: 57},
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{name: '宜宾', value: 58},
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{name: '呼和浩特', value: 58},
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{name: '成都', value: 58},
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{name: '大同', value: 58},
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{name: '镇江', value: 59},
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{name: '桂林', value: 59},
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{name: '张家界', value: 59},
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{name: '宜兴', value: 59},
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{name: '北海', value: 60},
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{name: '西安', value: 61},
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{name: '金坛', value: 62},
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{name: '东营', value: 62},
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{name: '牡丹江', value: 63},
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{name: '遵义', value: 63},
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{name: '绍兴', value: 63},
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{name: '扬州', value: 64},
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{name: '常州', value: 64},
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{name: '潍坊', value: 65},
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{name: '重庆', value: 66},
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{name: '台州', value: 67},
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{name: '南京', value: 67},
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{name: '滨州', value: 70},
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{name: '贵阳', value: 71},
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{name: '无锡', value: 71},
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{name: '本溪', value: 71},
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{name: '克拉玛依', value: 72},
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{name: '渭南', value: 72},
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{name: '马鞍山', value: 72},
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{name: '宝鸡', value: 72},
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{name: '焦作', value: 75},
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{name: '句容', value: 75},
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{name: '北京', value: 79},
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{name: '徐州', value: 79},
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{name: '衡水', value: 80},
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{name: '包头', value: 80},
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{name: '绵阳', value: 80},
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{name: '乌鲁木齐', value: 84},
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{name: '枣庄', value: 84},
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{name: '杭州', value: 84},
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{name: '淄博', value: 85},
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{name: '鞍山', value: 86},
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{name: '溧阳', value: 86},
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{name: '库尔勒', value: 86},
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{name: '安阳', value: 90},
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{name: '开封', value: 90},
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{name: '济南', value: 92},
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{name: '德阳', value: 93},
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{name: '温州', value: 95},
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{name: '九江', value: 96},
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{name: '邯郸', value: 98},
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{name: '临安', value: 99},
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{name: '兰州', value: 99},
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{name: '沧州', value: 100},
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{name: '临沂', value: 103},
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{name: '南充', value: 104},
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{name: '天津', value: 105},
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{name: '富阳', value: 106},
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{name: '泰安', value: 112},
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{name: '诸暨', value: 112},
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{name: '郑州', value: 113},
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{name: '哈尔滨', value: 114},
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{name: '聊城', value: 116},
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{name: '芜湖', value: 117},
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{name: '唐山', value: 119},
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{name: '平顶山', value: 119},
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{name: '邢台', value: 119},
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{name: '德州', value: 120},
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{name: '济宁', value: 120},
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{name: '荆州', value: 127},
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{name: '宜昌', value: 130},
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{name: '义乌', value: 132},
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{name: '丽水', value: 133},
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{name: '洛阳', value: 134},
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{name: '秦皇岛', value: 136},
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{name: '株洲', value: 143},
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{name: '石家庄', value: 147},
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{name: '莱芜', value: 148},
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{name: '常德', value: 152},
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{name: '保定', value: 153},
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{name: '湘潭', value: 154},
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{name: '金华', value: 157},
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{name: '岳阳', value: 169},
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{name: '长沙', value: 175},
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{name: '衢州', value: 177},
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{name: '廊坊', value: 193},
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{name: '菏泽', value: 194},
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{name: '合肥', value: 229},
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{name: '武汉', value: 273},
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{name: '大庆', value: 279}
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];
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$.get('../map/json/china.json', function (chinaJson) {
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echarts.registerMap('china', chinaJson);
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var geoCoordMap = {
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'海门':[121.15,31.89],
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'鄂尔多斯':[109.781327,39.608266],
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'招远':[120.38,37.35],
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'舟山':[122.207216,29.985295],
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'齐齐哈尔':[123.97,47.33],
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'盐城':[120.13,33.38],
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'赤峰':[118.87,42.28],
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'青岛':[120.33,36.07],
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'乳山':[121.52,36.89],
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'金昌':[102.188043,38.520089],
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'泉州':[118.58,24.93],
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'莱西':[120.53,36.86],
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'日照':[119.46,35.42],
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'胶南':[119.97,35.88],
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'南通':[121.05,32.08],
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'拉萨':[91.11,29.97],
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'云浮':[112.02,22.93],
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'梅州':[116.1,24.55],
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'文登':[122.05,37.2],
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'上海':[121.48,31.22],
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'攀枝花':[101.718637,26.582347],
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'威海':[122.1,37.5],
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'承德':[117.93,40.97],
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'厦门':[118.1,24.46],
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'汕尾':[115.375279,22.786211],
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'潮州':[116.63,23.68],
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'丹东':[124.37,40.13],
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'太仓':[121.1,31.45],
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'曲靖':[103.79,25.51],
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'烟台':[121.39,37.52],
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'福州':[119.3,26.08],
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'瓦房店':[121.979603,39.627114],
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'即墨':[120.45,36.38],
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'抚顺':[123.97,41.97],
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'玉溪':[102.52,24.35],
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'张家口':[114.87,40.82],
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'阳泉':[113.57,37.85],
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'莱州':[119.942327,37.177017],
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'湖州':[120.1,30.86],
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'汕头':[116.69,23.39],
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'昆山':[120.95,31.39],
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'宁波':[121.56,29.86],
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'湛江':[110.359377,21.270708],
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'揭阳':[116.35,23.55],
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'荣成':[122.41,37.16],
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'连云港':[119.16,34.59],
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'葫芦岛':[120.836932,40.711052],
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'常熟':[120.74,31.64],
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'东莞':[113.75,23.04],
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'河源':[114.68,23.73],
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'淮安':[119.15,33.5],
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'泰州':[119.9,32.49],
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'南宁':[108.33,22.84],
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'营口':[122.18,40.65],
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'惠州':[114.4,23.09],
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'江阴':[120.26,31.91],
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'蓬莱':[120.75,37.8],
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'韶关':[113.62,24.84],
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'嘉峪关':[98.289152,39.77313],
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'广州':[113.23,23.16],
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'延安':[109.47,36.6],
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'太原':[112.53,37.87],
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'清远':[113.01,23.7],
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'中山':[113.38,22.52],
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'昆明':[102.73,25.04],
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'寿光':[118.73,36.86],
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'盘锦':[122.070714,41.119997],
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'长治':[113.08,36.18],
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'深圳':[114.07,22.62],
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'珠海':[113.52,22.3],
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'宿迁':[118.3,33.96],
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'咸阳':[108.72,34.36],
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'铜川':[109.11,35.09],
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'平度':[119.97,36.77],
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'佛山':[113.11,23.05],
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'海口':[110.35,20.02],
|
||
|
|
'江门':[113.06,22.61],
|
||
|
|
'章丘':[117.53,36.72],
|
||
|
|
'肇庆':[112.44,23.05],
|
||
|
|
'大连':[121.62,38.92],
|
||
|
|
'临汾':[111.5,36.08],
|
||
|
|
'吴江':[120.63,31.16],
|
||
|
|
'石嘴山':[106.39,39.04],
|
||
|
|
'沈阳':[123.38,41.8],
|
||
|
|
'苏州':[120.62,31.32],
|
||
|
|
'茂名':[110.88,21.68],
|
||
|
|
'嘉兴':[120.76,30.77],
|
||
|
|
'长春':[125.35,43.88],
|
||
|
|
'胶州':[120.03336,36.264622],
|
||
|
|
'银川':[106.27,38.47],
|
||
|
|
'张家港':[120.555821,31.875428],
|
||
|
|
'三门峡':[111.19,34.76],
|
||
|
|
'锦州':[121.15,41.13],
|
||
|
|
'南昌':[115.89,28.68],
|
||
|
|
'柳州':[109.4,24.33],
|
||
|
|
'三亚':[109.511909,18.252847],
|
||
|
|
'自贡':[104.778442,29.33903],
|
||
|
|
'吉林':[126.57,43.87],
|
||
|
|
'阳江':[111.95,21.85],
|
||
|
|
'泸州':[105.39,28.91],
|
||
|
|
'西宁':[101.74,36.56],
|
||
|
|
'宜宾':[104.56,29.77],
|
||
|
|
'呼和浩特':[111.65,40.82],
|
||
|
|
'成都':[104.06,30.67],
|
||
|
|
'大同':[113.3,40.12],
|
||
|
|
'镇江':[119.44,32.2],
|
||
|
|
'桂林':[110.28,25.29],
|
||
|
|
'张家界':[110.479191,29.117096],
|
||
|
|
'宜兴':[119.82,31.36],
|
||
|
|
'北海':[109.12,21.49],
|
||
|
|
'西安':[108.95,34.27],
|
||
|
|
'金坛':[119.56,31.74],
|
||
|
|
'东营':[118.49,37.46],
|
||
|
|
'牡丹江':[129.58,44.6],
|
||
|
|
'遵义':[106.9,27.7],
|
||
|
|
'绍兴':[120.58,30.01],
|
||
|
|
'扬州':[119.42,32.39],
|
||
|
|
'常州':[119.95,31.79],
|
||
|
|
'潍坊':[119.1,36.62],
|
||
|
|
'重庆':[106.54,29.59],
|
||
|
|
'台州':[121.420757,28.656386],
|
||
|
|
'南京':[118.78,32.04],
|
||
|
|
'滨州':[118.03,37.36],
|
||
|
|
'贵阳':[106.71,26.57],
|
||
|
|
'无锡':[120.29,31.59],
|
||
|
|
'本溪':[123.73,41.3],
|
||
|
|
'克拉玛依':[84.77,45.59],
|
||
|
|
'渭南':[109.5,34.52],
|
||
|
|
'马鞍山':[118.48,31.56],
|
||
|
|
'宝鸡':[107.15,34.38],
|
||
|
|
'焦作':[113.21,35.24],
|
||
|
|
'句容':[119.16,31.95],
|
||
|
|
'北京':[116.46,39.92],
|
||
|
|
'徐州':[117.2,34.26],
|
||
|
|
'衡水':[115.72,37.72],
|
||
|
|
'包头':[110,40.58],
|
||
|
|
'绵阳':[104.73,31.48],
|
||
|
|
'乌鲁木齐':[87.68,43.77],
|
||
|
|
'枣庄':[117.57,34.86],
|
||
|
|
'杭州':[120.19,30.26],
|
||
|
|
'淄博':[118.05,36.78],
|
||
|
|
'鞍山':[122.85,41.12],
|
||
|
|
'溧阳':[119.48,31.43],
|
||
|
|
'库尔勒':[86.06,41.68],
|
||
|
|
'安阳':[114.35,36.1],
|
||
|
|
'开封':[114.35,34.79],
|
||
|
|
'济南':[117,36.65],
|
||
|
|
'德阳':[104.37,31.13],
|
||
|
|
'温州':[120.65,28.01],
|
||
|
|
'九江':[115.97,29.71],
|
||
|
|
'邯郸':[114.47,36.6],
|
||
|
|
'临安':[119.72,30.23],
|
||
|
|
'兰州':[103.73,36.03],
|
||
|
|
'沧州':[116.83,38.33],
|
||
|
|
'临沂':[118.35,35.05],
|
||
|
|
'南充':[106.110698,30.837793],
|
||
|
|
'天津':[117.2,39.13],
|
||
|
|
'富阳':[119.95,30.07],
|
||
|
|
'泰安':[117.13,36.18],
|
||
|
|
'诸暨':[120.23,29.71],
|
||
|
|
'郑州':[113.65,34.76],
|
||
|
|
'哈尔滨':[126.63,45.75],
|
||
|
|
'聊城':[115.97,36.45],
|
||
|
|
'芜湖':[118.38,31.33],
|
||
|
|
'唐山':[118.02,39.63],
|
||
|
|
'平顶山':[113.29,33.75],
|
||
|
|
'邢台':[114.48,37.05],
|
||
|
|
'德州':[116.29,37.45],
|
||
|
|
'济宁':[116.59,35.38],
|
||
|
|
'荆州':[112.239741,30.335165],
|
||
|
|
'宜昌':[111.3,30.7],
|
||
|
|
'义乌':[120.06,29.32],
|
||
|
|
'丽水':[119.92,28.45],
|
||
|
|
'洛阳':[112.44,34.7],
|
||
|
|
'秦皇岛':[119.57,39.95],
|
||
|
|
'株洲':[113.16,27.83],
|
||
|
|
'石家庄':[114.48,38.03],
|
||
|
|
'莱芜':[117.67,36.19],
|
||
|
|
'常德':[111.69,29.05],
|
||
|
|
'保定':[115.48,38.85],
|
||
|
|
'湘潭':[112.91,27.87],
|
||
|
|
'金华':[119.64,29.12],
|
||
|
|
'岳阳':[113.09,29.37],
|
||
|
|
'长沙':[113,28.21],
|
||
|
|
'衢州':[118.88,28.97],
|
||
|
|
'廊坊':[116.7,39.53],
|
||
|
|
'菏泽':[115.480656,35.23375],
|
||
|
|
'合肥':[117.27,31.86],
|
||
|
|
'武汉':[114.31,30.52],
|
||
|
|
'大庆':[125.03,46.58]
|
||
|
|
};
|
||
|
|
|
||
|
|
var convertData = function (data) {
|
||
|
|
var res = [];
|
||
|
|
for (var i = 0; i < data.length; i++) {
|
||
|
|
var geoCoord = geoCoordMap[data[i].name];
|
||
|
|
if (geoCoord) {
|
||
|
|
res.push({
|
||
|
|
name: data[i].name,
|
||
|
|
value: geoCoord.concat(data[i].value)
|
||
|
|
});
|
||
|
|
}
|
||
|
|
}
|
||
|
|
return res;
|
||
|
|
};
|
||
|
|
|
||
|
|
var myChart = echarts.init(document.getElementById('main'));
|
||
|
|
|
||
|
|
myChart.setOption({
|
||
|
|
backgroundColor: '#404a59',
|
||
|
|
title: {
|
||
|
|
text: '全国主要城市空气质量',
|
||
|
|
subtext: 'data from PM25.in',
|
||
|
|
sublink: 'http://www.pm25.in',
|
||
|
|
left: 'center',
|
||
|
|
textStyle: {
|
||
|
|
color: '#fff'
|
||
|
|
}
|
||
|
|
},
|
||
|
|
tooltip : {
|
||
|
|
trigger: 'item'
|
||
|
|
},
|
||
|
|
legend: {
|
||
|
|
orient: 'vertical',
|
||
|
|
top: 'bottom',
|
||
|
|
left: 'right',
|
||
|
|
data:['pm2.5'],
|
||
|
|
textStyle: {
|
||
|
|
color: '#fff'
|
||
|
|
}
|
||
|
|
},
|
||
|
|
geo: {
|
||
|
|
map: 'china',
|
||
|
|
label: {
|
||
|
|
emphasis: {
|
||
|
|
show: false
|
||
|
|
}
|
||
|
|
},
|
||
|
|
roam: true,
|
||
|
|
itemStyle: {
|
||
|
|
normal: {
|
||
|
|
areaColor: '#323c48',
|
||
|
|
borderColor: '#111'
|
||
|
|
},
|
||
|
|
emphasis: {
|
||
|
|
areaColor: '#2a333d'
|
||
|
|
}
|
||
|
|
}
|
||
|
|
},
|
||
|
|
series : [
|
||
|
|
{
|
||
|
|
name: 'pm2.5',
|
||
|
|
type: 'scatter',
|
||
|
|
coordinateSystem: 'geo',
|
||
|
|
data: convertData(data),
|
||
|
|
symbolSize: function (val) {
|
||
|
|
return val[2] / 10;
|
||
|
|
},
|
||
|
|
label: {
|
||
|
|
normal: {
|
||
|
|
formatter: '{b}',
|
||
|
|
position: 'right',
|
||
|
|
show: false
|
||
|
|
},
|
||
|
|
emphasis: {
|
||
|
|
show: true
|
||
|
|
}
|
||
|
|
},
|
||
|
|
itemStyle: {
|
||
|
|
normal: {
|
||
|
|
color: '#ddb926'
|
||
|
|
}
|
||
|
|
}
|
||
|
|
},
|
||
|
|
{
|
||
|
|
name: 'Top 5',
|
||
|
|
type: 'effectScatter',
|
||
|
|
coordinateSystem: 'geo',
|
||
|
|
data: convertData(data.sort(function (a, b) {
|
||
|
|
return b.value - a.value;
|
||
|
|
}).slice(0, 6)),
|
||
|
|
symbolSize: function (val) {
|
||
|
|
return val[2] / 10;
|
||
|
|
},
|
||
|
|
showEffectOn: 'emphasis',
|
||
|
|
rippleEffect: {
|
||
|
|
brushType: 'stroke'
|
||
|
|
},
|
||
|
|
hoverAnimation: true,
|
||
|
|
label: {
|
||
|
|
normal: {
|
||
|
|
formatter: '{b}',
|
||
|
|
position: 'right',
|
||
|
|
show: true
|
||
|
|
}
|
||
|
|
},
|
||
|
|
itemStyle: {
|
||
|
|
normal: {
|
||
|
|
color: '#f4e925',
|
||
|
|
shadowBlur: 10,
|
||
|
|
shadowColor: '#333'
|
||
|
|
}
|
||
|
|
},
|
||
|
|
zlevel: 1
|
||
|
|
}
|
||
|
|
]
|
||
|
|
});
|
||
|
|
});
|
||
|
|
});
|
||
|
|
|
||
|
|
</script>
|
||
|
|
</body>
|
||
|
|
</html>
|