项目需求:


最近因公司需要,引入一个软件公司,大数据分析平台。

最主要的环节是数据仓库建立,四部曲

  1. 第一步,连接数据源;
  2. 第二步,创建数据集市
  3. 第三步,创建图表
  4. 第四步,创建看板(各种分析报表)。

思想还是很重要的,但是通过这个平台形成的各种看板无法体现驾驶舱的魅力,没有什么科技感,页面效果非常弱。

资源传送


基于此,考虑后面引入前端开发驾驶舱,刚好搜罗了前端设计特效,觉得很赞,分享下10个设计效果,资源传送前端所有代码(https://n459.com/file/29938189-468479365,需要的同学直接下载吧)

部分源码(全部代码已经完全上传了)


<!doctype html>
<meta charset="utf-8">
<title>警情警力分析</title>
<link href="css/style.css"  rel="stylesheet" type="text/css" media="all" />
<script src="js/echarts.min.js" charset="utf-8"></script>
<script src="js/jquery-3.2.0.min.js" charset="utf-8"></script>
<script src="beijing.js"></script><body>
<div class="wpbox">
<div class="bnt"><div class="topbnt_left fl"><ul><li ><a href="analysis.html">警情警力</a></li><li><a href="people.html">实有人口</a></li><li><a href="activity.html">活动情况</a></li></ul></div><h1 class="tith1 fl">舆情分析</h1><div class=" fr topbnt_right"><ul><li><a href="#">返回</a></li><li class="active"><a href="traffic.html">交通</a></li><li><a href="public.html">舆情</a></li></ul></div>
</div>
<!-- bnt end -->
<div class="left1"><div class="aleftboxttop pt1"><h2 class="tith2">进州车辆情况</h2><div class="lefttoday_tit" style=" height:8%"><p class="fl">地区:甘孜</p><p class="fm">周期:每日</p><p class="fr">2018-06-14</p></div><div class="tlbox"><ul><li><p class="text"><span class="w12">本地车辆:</span><span><i class="ricon1"></i>昨日:6</span><span><i class="tricon1"></i>今日:5</span><span class="tr"><img src="img/icondown.png" height="16" /> 1</span></p><p class="rwith"><span class="rwith_img" style="width:60%"></span></p></li><li><p class="text"><span class="w12">外地车辆:</span><span><i class="ricon2"></i>昨日:600</span><span><i class="tricon2"></i>今日:500</span><span class="tr"><img src="img/iconup.png" height="16" /> 1</span></p><p class="rwith bgc2"><span class="rwith_img qgc2" style="width:40%"></span></p></li><li><p class="text"><span class="w12">乘客人员数量:</span><span><i class="ricon3"></i>昨日:6</span><span><i class="tricon3"></i>今日:5</span><span class="tr"><img src="img/iconup.png" height="16" /> 1</span></p><p class="rwith bgc3"><span class="rwith_img qgc3" style="width:50%"></span></p></li></ul></div><!-- lefttoday_number end --></div><div class="aleftboxtmidd"><h2 class="tith2 pt2">出州车辆情况</h2><div class="lefttoday_tit" style=" height:8%"><p class="fl">地区:甘孜</p><p class="fm">周期:每日</p><p class="fr">2018-06-14</p></div><div class="tlbox"><ul><li><p class="text"><span class="w12">本地车辆:</span><span><i class="ricon1"></i>昨日:6</span><span><i class="tricon1"></i>今日:5</span><span class="tr"><img src="img/icondown.png" height="16" /> 1</span></p><p class="rwith"><span class="rwith_img" style="width:60%"></span></p></li><li><p class="text"><span class="w12">外地车辆:</span><span><i class="ricon2"></i>昨日:600</span><span><i class="tricon2"></i>今日:500</span><span class="tr"><img src="img/iconup.png" height="16" /> 1</span></p><p class="rwith bgc2"><span class="rwith_img qgc2" style="width:40%"></span></p></li><li><p class="text"><span class="w12">乘客人员数量:</span><span><i class="ricon3"></i>昨日:6</span><span><i class="tricon3"></i>今日:5</span><span class="tr"><img src="img/iconup.png" height="16" /> 1</span></p><p class="rwith bgc3"><span class="rwith_img qgc3" style="width:50%"></span></p></li></ul></div></div><div class="aleftboxtbott"><h2 class="tith2">总体驾驶人统计</h2><!-- <div class="lefttoday_tit height"><p class="fl">状态:已调节.æl,kmo</p><p class="fr">时间段:2018-06-10 至 2018-06-14</p></div> --><div id="aleftboxtmidd" class="aleftboxtbott_cont2" ></div>
</div>
</div>
<!--  left1 end -->
<div class="mrbox"><div class="mrbox_topmidd" style="width: 69%;"><div class="amiddboxttop"><h2 class="tith2 pt1">实时地图</h2><div class="hot_map" id="topmap"   ></div></div><!--  amiddboxttop end--><div class="amidd_bott"><div class="amiddboxtbott1 fl" ><h2 class="tith2 pt1">每日上户车辆</h2><div class="lefttoday_tit"><p class="fr">2018-06-14</p></div><div id="amiddboxtbott1" class="amiddboxtbott1content2" ></div></div><div class="amiddboxtbott2 fl"><h2 class="tith2 pt1">高危车辆统计</h2><div id="arightboxbott" class="amiddboxtbott2content"></div></div></div><!-- amidd_bott end --></div><!-- mrbox_top end --><div class="mrbox_top_right"><div class="arightboxtop"><h2 class="tith2">今日办驾照统计(雷达图)</h2><div id="aleftboxtbott"  class="aleftboxtbott_contr"></div></div><div class="arightboxbott"><h2 class="tith2 ">今日新增驾驶人统计</h2><div id="aleftboxtmiddr" class="arightboxbottcont2"></div></div></div><!-- mrbox_top_right end --></div></div>
</div><script type="text/javascript">
var myChart = echarts.init(document.getElementById('aleftboxtmidd'));
option = {
color:['#4d72d9','#76c4bf','#e5ffc7'],
backgroundColor: 'rgba(1,202,217,.2)',
grid: {left:60,right:60,top:20,bottom:0,containLabel: true},legend: {left: 10,top: 5,textStyle:{fontSize:10,color:'rgba(255,255,255,.6)'},data: ['A照','B照','C照']},calculable : true,series : [{name:'面积模式',type:'pie',radius : [20, 70],center : ['50%', '55%'],roseType : 'area',data:[{value:187650, name:'A照'},{value:145896, name:'B照'},{value:148920, name:'C照'},]}]};
myChart.setOption(option);
</script>
<script type="text/javascript">
var myChart = echarts.init(document.getElementById('aleftboxtmiddr'));
option = {
color:['#f1b1ff','#aae3fb','#e5ffc7'],backgroundColor: 'rgba(1,202,217,.2)',grid: {left:60,right:60,top:20,bottom:0,containLabel: true},legend: {left: 10,top: 5,textStyle:{fontSize:10,color:'rgba(255,255,255,.6)'},data: ['A照','B照','C照']},calculable : true,series : [{name:'面积模式',type:'pie',radius : [20, 70],center : ['50%', '55%'],roseType : 'area',data:[{value:187650, name:'A照'},{value:145896, name:'B照'},{value:148920, name:'C照'},]}]};
myChart.setOption(option);
</script>
<script type="text/javascript">
var myChart = echarts.init(document.getElementById('aleftboxtbott'));
option = {
color:['#7ecef4'],backgroundColor: 'rgba(1,202,217,.2)',grid: {left:20,right:50,top:23,bottom:30,containLabel: true},xAxis: {type: 'value',axisLine:{lineStyle:{color:'rgba(255,255,255,.2)'}},splitLine:{lineStyle:{color:'rgba(255,255,255,0)'}},axisLabel:{color:"rgba(255,255,255,1)"},data: ['1000','5000','10000','15000','20000','25000'],boundaryGap: [0, 0.01]},yAxis: {type: 'category',axisLine:{lineStyle:{color:'rgba(255,255,255,.5)'}},splitLine:{lineStyle:{color:'rgba(255,255,255,.1)'}},axisLabel:{color:"rgba(255,255,255,.5)"},data: ['C2','C1','B2','B1','A3','A2','A1']},series: [{name: '2011年',type: 'bar',barWidth :30,itemStyle: {normal: {color: new echarts.graphic.LinearGradient(1, 0, 0, 1,[{offset: 0, color: 'rgba(230,253,139,.7)'},{offset: 1, color: 'rgba(41,220,205,.7)'}])}},data: [18203, 23489, 29034,18203, 23489, 29034, 29034]}]};
myChart.setOption(option);
</script>
<script type="text/javascript">var myChart = echarts.init(document.getElementById('amiddboxtbott1'));var data = [[[28604,77,17099,'Australia',1990],[31163,77.4,2440,'Canada',1990],[1516,68,1605773,'China',1990],[13670,74.7,10082,'Cuba',1990],[28599,75,49805,'Finland',1990],[29476,77.1,569499,'France',1990],[31476,75.4,789237,'Germany',1990],[28666,78.1,254830,'Iceland',1990],[1777,57.7,870776,'India',1990],[29550,79.1,129285,'Japan',1990],[2076,67.9,201954,'North Korea',1990],[12087,72,42954,'South Korea',1990],[24021,75.4,33934,'New Zealand',1990],[43296,76.8,4240375,'Norway',1990],[10088,70.8,381958,'Poland',1990],[19349,69.6,1475652,'Russia',1990],[10670,67.3,53905,'Turkey',1990],[26424,75.7,57117,'United Kingdom',1990],[37062,75.4,252810,'United States',1990]],[[44056,81.8,23973,'Australia',2015],[43294,81.7,35927,'Canada',2015],[13334,76.9,1376043,'China',2015],[21291,78.5,11562,'Cuba',2015],[38923,80.8,55057,'Finland',2015],[37599,81.9,64345,'France',2015],[44053,81.1,80545,'Germany',2015],[42182,82.8,329425,'Iceland',2015],[5903,66.8,1311027,'India',2015],[36162,83.5,126571,'Japan',2015],[1390,71.4,251317,'North Korea',2015],[34644,80.7,503439,'South Korea',2015],[34186,80.6,4528526,'New Zealand',2015],[64304,81.6,5210967,'Norway',2015],[24787,77.3,386194,'Poland',2015],[23038,73.13,143918,'Russia',2015],[19360,76.5,78630,'Turkey',2015],[38225,81.4,64715810,'United Kingdom',2015],[53354,79.1,321771,'United States',2015]]];option = {backgroundColor: 'rgba(1,202,217,.2)',grid: {left:40,right:40,top:50,bottom:40},title: {top: 5,left:20,textStyle:{fontSize:10,color:'rgba(255,255,255,.6)'},text: '环比类型:日环比'},// legend: {//     right: 10,//     top: 5,//     textStyle:{//       fontSize:10,//       color:'rgba(255,255,255,.6)'//     },//     data: ['1990', '2015']// },xAxis: {axisLine:{lineStyle:{color:'rgba(255,255,255,.2)'}},splitLine:{lineStyle:{color:'rgba(255,255,255,.1)'}},axisLabel:{color:"rgba(255,255,255,.7)"}},yAxis: {axisLine:{lineStyle:{color:'rgba(255,255,255,.2)'}},splitLine:{lineStyle:{color:'rgba(255,255,255,.1)'}},axisLabel:{color:"rgba(255,255,255,.7)"},scale: true},series: [ {name: '2015',data: data[1],type: 'scatter',symbolSize: function (data) {return Math.sqrt(data[2]) / 5e2;},label: {emphasis: {show: true,formatter: function (param) {return param.data[3];},position: 'top'}},itemStyle: {normal: {shadowBlur: 10,shadowColor: 'rgba(25, 100, 150, 0.5)',shadowOffsetY: 5,color: new echarts.graphic.RadialGradient(0.4, 0.3, 1, [{offset: 0,color: 'rgb(129, 227, 238)'}, {offset: 1,color: 'rgb(25, 183, 207)'}])}}}]};myChart.setOption(option);
</script><script type="text/javascript">var myChart = echarts.init(document.getElementById('amiddboxtbott2'));option = {backgroundColor: 'rgba(1,202,217,.2)',grid: {left:60,right:60,top:50,bottom:40},toolbox: {feature: {dataView: {show: true, readOnly: false},magicType: {show: true, type: ['line', 'bar']},restore: {show: true},saveAsImage: {show: true}}
},
legend: {top:10,textStyle:{fontSize: 10,color:'rgba(255,255,255,.7)'},data:['2017年','2018年','同比增速']
},
xAxis: [{type: 'category',axisLine:{lineStyle:{color:'rgba(255,255,255,.2)'}},splitLine:{lineStyle:{color:'rgba(255,255,255,.1)'}},axisLabel:{color:"rgba(255,255,255,.7)"},data: ['1','2','3','4','5','6','7','8','9','10','11','12'],axisPointer: {type: 'shadow'}}
],
yAxis: [{type: 'value',name: '',min: 0,max: 250,interval: 50,axisLine:{lineStyle:{color:'rgba(255,255,255,.3)'}},splitLine:{lineStyle:{color:'rgba(255,255,255,.01)'}},axisLabel: {formatter: '{value} ml'}},{type: 'value',name: '',max: 25,interval: 5,axisLine:{lineStyle:{color:'rgba(255,255,255,.3)'}},splitLine:{lineStyle:{color:'rgba(255,255,255,.1)'}},axisLabel: {formatter: '{value} °C'}}
],
series: [{name:'2017年',type:'bar',itemStyle: {normal: {color: new echarts.graphic.LinearGradient(0, 0, 0, 1,[{offset: 0, color: '#b266ff'},{offset: 1, color: '#121b87'}])}},data:[2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3]},{name:'2018年',type:'bar',itemStyle: {normal: {color: new echarts.graphic.LinearGradient(0, 0, 0, 1,[{offset: 0, color: '#00f0ff'},{offset: 1, color: '#032a72'}])}},data:[2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3]},{name:'同比增速',type:'line',itemStyle: {normal: {color: new echarts.graphic.LinearGradient(0, 0, 0, 1,[{offset: 0, color: '#fffb34'},{offset: 1, color: '#fffb34'}])}},yAxisIndex: 1,data:[2.0, 2.2, 3.3, 4.5, 6.3, 10.2, 20.3, 23.4, 23.0, 16.5, 12.0, 6.2]}
]
};myChart.setOption(option);
</script>
<script type="text/javascript">var myChart = echarts.init(document.getElementById('arightboxbott'));option = {color:['#00ffff','#7fd7b1', '#5578cf', '#5ebbeb', '#d16ad8','#f8e19a',  '#00b7ee', '#81dabe','#5fc5ce'],backgroundColor: 'rgba(1,202,217,.2)',grid: {left: '5%',right: '8%',bottom: '7%',top:'8%',containLabel: true},toolbox: {feature: {saveAsImage: {}}},xAxis: {type: 'category',boundaryGap: false,axisLine:{lineStyle:{color:'rgba(255,255,255,.2)'}},splitLine:{lineStyle:{color:'rgba(255,255,255,.1)'}},axisLabel:{color:"rgba(255,255,255,.7)"},data: ['6-08','6-09','6-10','6-11','6-12','6-13','6-14']},yAxis: {type: 'value',axisLine:{lineStyle:{color:'rgba(255,255,255,.2)'}},splitLine:{lineStyle:{color:'rgba(255,255,255,.1)'}},axisLabel:{color:"rgba(255,255,255,.7)"},},series: [{name:'2014年',type:'line',stack: '总量',areaStyle: {normal: {}},data:[120, 132, 101, 134, 90, 230, 210]}]};myChart.setOption(option);</script><script type="text/javascript">var myChart = echarts.init(document.getElementById('arightboxbott'));option = {color:['#00ffff','#7fd7b1', '#5578cf', '#5ebbeb', '#d16ad8','#f8e19a',  '#00b7ee', '#81dabe','#5fc5ce'],backgroundColor: 'rgba(1,202,217,.2)',grid: {left: '5%',right: '8%',bottom: '7%',top:'8%',containLabel: true},toolbox: {feature: {saveAsImage: {}}},xAxis: {type: 'category',boundaryGap: false,axisLine:{lineStyle:{color:'rgba(255,255,255,.2)'}},splitLine:{lineStyle:{color:'rgba(255,255,255,.1)'}},axisLabel:{color:"rgba(255,255,255,.7)"},data: ['6-08','6-09','6-10','6-11','6-12','6-13','6-14']},yAxis: {type: 'value',axisLine:{lineStyle:{color:'rgba(255,255,255,.2)'}},splitLine:{lineStyle:{color:'rgba(255,255,255,.1)'}},axisLabel:{color:"rgba(255,255,255,.7)"},},series: [{name:'2014年',type:'line',stack: '总量',areaStyle: {normal: {}},data:[120, 132, 101, 134, 90, 230, 210]}]};myChart.setOption(option);</script><script type="text/javascript">$(function(){//使用echarts.init()方法初始化一个Echarts实例,在init方法中传入echarts map的容器 dom对象var mapChart = echarts.init(document.getElementById('topmap'));// mapChart的配置var option = {tooltip: {trigger: 'item',formatter: '{b}<br/>{c} (个)'},toolbox: {show: true,orient: 'vertical',left: 'right',top: 'center',feature: {dataView: {readOnly: false},restore: {},saveAsImage: {}}},visualMap: {min: 0,max: 2000,text:['高','低'],realtime: false,calculable: true,inRange: {color: ['lightskyblue','yellow', 'orangered']}},series:[{name: '北京各区',type: 'map',//type必须声明为 map 说明该图标为echarts 中map类型map: '北京', //这里需要特别注意。如果是中国地图,map值为china,如果为各省市则为中文。这里用北京aspectScale: 0.75, //长宽比. default: 0.75zoom: 1.2,//roam: true,itemStyle:{normal:{label:{show:true}},emphasis:{label:{show:true}}},data: [{name:'东城区', value: 1800},{name:'西城区', value: 1700},{name:'朝阳区', value: 1600},{name:'丰台区', value: 1400},{name:'石景山区', value: 1200},{name:'海淀区', value: 1000},{name:'门头沟区', value: 800},{name:'房山区', value: 600},{name:'通州区', value: 400},{name:'顺义区', value: 200},{name:'昌平区', value: 100},{name:'大兴区', value: 300},{name:'怀柔区', value: 500},{name:'平谷区', value: 700},{name:'密云县', value: 900},{name:'延庆县', value: 1100}]}]};//设置图表的配置项mapChart.setOption(option);});</script></body>
</html>

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