作者 xudada

统计分析一、二,三

... ... @@ -20,11 +20,11 @@
<div class="index_nav" >
<ul style="height: 30px; margin-bottom: 0px;">
<li class="l_left total_chose_fr nav_active">实时监测</li>
<li class="l_left total_chose_pl" >统计分析一</li>
<li class="l_left total_chose_pl">统计分析二</li>
<li class="r_right total_chose_pl">统计分析三</li>
<li class="r_right total_chose_pl">统计分析四</li>
<li class="r_right total_chose_pl">统计分析五</li>
<li class="l_left total_chose_pl" >舱单统计分析</li>
<li class="l_left total_chose_pl">场站统计分析</li>
<!--<li class="r_right total_chose_pl">统计分析三</li>
<li class="r_right total_chose_pl">统计分析四</li>-->
<li class="r_right total_chose_pl"><a href="thingjs.html" style="color: white">航班统计分析</a></li>
</ul>
<div class="total_chose_box" style="display: none;">
<div style="height: 32px;"></div>
... ... @@ -951,48 +951,60 @@
<div class="data_tit2">数据汇总</div>
<table class="table_data01" >
<tr><td>总数</td><td colspan="3" class="font01">56320</td></tr>
<tr><td>xxxxxx数</td><td colspan="3" class="font02">56320</td></tr>
<tr><td>舱单申报总量</td><td colspan="3" class="font01">236506</td></tr>
<tr><td>航班总量/架次</td><td colspan="3" class="font02">5213</td></tr>
<tr>
<td>xxxxx数:</td>
<td>10个</td>
<td>类型数:</td>
<td>6个</td>
<td>进港航班架次:</td>
<td>1567</td>
<td>出港航班架次:</td>
<td>3496</td>
</tr>
<tr>
<td>xxxx最多数:</td>
<td>16-20点</td>
<td>xxxxx最多月:</td>
<td>12月</td>
<td>进港平均架次:</td>
<td>15</td>
<td>出港平均架次:</td>
<td>21</td>
</tr>
<tr>
<td>xxxxx最多季节:</td>
<td>xxxx</td>
<td>xxxxx天气:</td>
<td>晴天</td>
<td>进港舱单总量:</td>
<td>36854</td>
<td>出港舱单总量:</td>
<td>169462</td>
</tr>
<tr>
<td>xxxxxx:</td>
<td>套餐A</td>
<td>xxxxxx:</td>
<td>活动</td>
<td>进港舱单件数:</td>
<td>386492</td>
<td>进港分单件数:</td>
<td>184352</td>
</tr>
<tr>
<td>xxxxxx:</td>
<td>交通畅通</td>
<td>xxxxx特殊时间:</td>
<td>国庆节</td>
<td>出港舱单件数:</td>
<td>954376</td>
<td>出港分单件数:</td>
<td>421675</td>
</tr>
<tr>
<td>xxxxx:</td>
<td colspan="3" style="color: red">xxxxxB</td>
<td>进港舱单传输保障率:</td>
<td>98%</td>
<td>出港舱单传输保障率:</td>
<td>99%</td>
</tr>
<tr>
<td>xxxxx多季节:</td>
<td colspan="3" style="color: red">冬季</td>
<td>综合舱单传输保障率:</td>
<td colspan="3" style="color: red">99%</td>
</tr>
<tr>
<td>进出货量顺差:</td>
<td colspan="3" style="color: red">364892</td>
</tr>
<tr>
<td>进港分拨总量:</td>
<td colspan="3" style="color: red">12549</td>
</tr>
<tr>
<td>国际转运总量:</td>
<td colspan="3" style="color: red">12549</td>
</tr>
</table>
</div>
... ... @@ -1027,8 +1039,8 @@
<div class="dataAll">
<div class="dataAllBorder01">
<div class="dataAllBorder02">
<div class="data_tit1">xxxxxx分析</div>
<p class="data_chart" id="sperceBook01"></p>
<div class="data_tit1">货量对比分析</div>
<p class="data_chart" id="sperceBook011"></p>
</div>
</div>
</div>
... ... @@ -1041,18 +1053,18 @@
<div class="dataAllNo01 maginS01">
<div class="dataAllBorder01">
<div class="dataAllBorder02">
<div class="data_tit3">收入渠道分析</div>
<div class="data_tit3">场站进场货量</div>
<table class="table_data01">
<tr>
<td>收入:</td><td colspan="3" class="font01">123653元</td>
<td>进货量:</td><td colspan="3" class="font01">123653吨</td>
</tr>
<tr>
<td>收入渠道数:</td><td colspan="3" class="font03">5</td>
<td>场站数量:</td><td colspan="3" class="font03">4</td>
</tr>
<tr><td>收入最多渠道</td><td class="font04">渠道A(56%)</td><td>收入最少渠道</td><td class="font05">渠道C(2.8%)</td></tr>
<tr><td>渠道A收入</td><td class="font6">53602元</td><td>渠道A收入占比</td><td class="font6">4.8%</td></tr>
<tr><td>渠道B收入</td><td class="font6">53602元</td><td>渠道B收入占比</td><td class="font6">4.8%</td></tr>
<tr><td>渠道C收入</td><td class="font6">53602元</td><td>渠道D收入占比</td><td class="font6">4.8%</td></tr>
<tr><td>西货站进货</td><td class="font04">2314吨</td><td>库位存量</td><td class="font05">68</td></tr>
<tr><td>综保区进货</td><td class="font6">53602吨</td><td>库位存量</td><td class="font6">4.8%</td></tr>
<tr><td>北货站进货</td><td class="font6">53602吨</td><td>库位存量</td><td class="font6">4.8%</td></tr>
<tr><td>国内站进货</td><td class="font6">53602吨</td><td>库位存量</td><td class="font6">4.8%</td></tr>
</table>
<p class="data_chart01" id="zhanbi02"></p>
... ... @@ -1066,10 +1078,10 @@
<div class="dataAllNo01">
<div class="dataAllBorder01">
<div class="dataAllBorder02">
<div class="data_tit3">营销投入与销售量分析</div>
<div class="data_tit3">场站货量实时分析</div>
<table class="table_data02">
<tr><td class="font07">销量总量</td><td class="font03">1560万元</td><td class="font07">营销投入量</td><td class="font02">560万</td></tr>
<tr><td class="font07">总利润</td><td class="font01">1000万元</td><td class="font07">利润率</td><td class="font01">464.15%</td></tr>
<tr><td class="font07">货物总量</td><td class="font03">1560吨</td><td class="font07">进场总量</td><td class="font02">560吨</td></tr>
<tr><td class="font07">出货总量</td><td class="font01">1000吨</td><td class="font07">库存率</td><td class="font01">0.15%</td></tr>
</table>
<p>
... ... @@ -1085,18 +1097,18 @@
<div class="dataAllNo01 maginS01">
<div class="dataAllBorder01">
<div class="dataAllBorder02">
<div class="data_tit3">支出渠道分析</div>
<div class="data_tit3">场站出场货量</div>
<table class="table_data01">
<tr>
<td>支出:</td><td colspan="3" class="font02">123653元</td>
<td>出货量:</td><td colspan="3" class="font02">123653吨</td>
</tr>
<tr>
<td>支出渠道数:</td><td colspan="3" class="font02">5</td>
<td>场站数量:</td><td colspan="3" class="font02">4</td>
</tr>
<tr><td>支出最多渠道</td><td class="font05">渠道A(56%)</td><td>支出最少渠道</td><td class="font04">渠道C(2.8%)</td></tr>
<tr><td>渠道A支出</td><td class="font6">53602元</td><td>渠道A支出占比</td><td class="font6">4.8%</td></tr>
<tr><td>渠道B支出</td><td class="font6">53602元</td><td>渠道B支出占比</td><td class="font6">4.8%</td></tr>
<tr><td>渠道C支出</td><td class="font6">53602元</td><td>渠道D支出占比</td><td class="font6">4.8%</td></tr>
<tr><td>西货站提货</td><td class="font05">22</td><td>库位存量</td><td class="font04">2</td></tr>
<tr><td>综保区提货</td><td class="font6">53602元</td><td>库位存量</td><td class="font6">4.8%</td></tr>
<tr><td>北货站提货</td><td class="font6">53602元</td><td>库位存量</td><td class="font6">4.8%</td></tr>
<tr><td>国站站提货</td><td class="font6">53602元</td><td>库位存量</td><td class="font6">4.8%</td></tr>
</table>
<p class="data_chart01" id="zhanbi03"></p>
... ...
... ... @@ -2490,186 +2490,78 @@ function yingXiao(){
myChart.setOption(option);
});
// 特殊时间点与订单分析
// 货量对比分析
$(function(){
var myChart = echarts.init($("#sperceBook01")[0]);
option = {
var myChart = echarts.init($("#sperceBook011")[0]);
var option = {
tooltip : {
trigger: 'axis',
formatter: function (params) {
var res = params[0].seriesName + ' ' + params[0].name;
res += '<br/> 0-05 : ' + params[0].value[0] + ' 06-12 : ' + params[0].value[3];
res += '<br/> 13-18: ' + params[0].value[1] + ' 19-24 : ' + params[0].value[2];
return res;
}
trigger: 'axis'
},
grid: {
x: 46,
y:30,
x2:30,
y2:20,
x2:32,
y2:40,
borderWidth: 0
},
legend: {
data:['订单数'],
textStyle:{
color:"#e9ebee"
}
},
dataZoom : {
show : true,
realtime: true,
start : 50,
end : 100
},
calculable : true,
xAxis : [
{
type : 'category',
textStyle: {
color: '#a4a7ab',
boundaryGap : false,
data : ['一月','二月','三月','四月','五月','六月','七月','八月','九月','十月','十一月','十二月'],
splitLine: {
show: false
},
boundaryGap : true,
axisTick: {onGap:false},
splitLine: {show:false},
data : [
"2013/1/24", "2013/1/25", "2013/1/28", "2013/1/29", "2013/1/30",
"2013/1/31", "2013/2/1", "2013/2/4", "2013/2/5", "2013/2/6",
"2013/2/7", "2013/2/8", "2013/2/18", "2013/2/19", "2013/2/20",
"2013/2/21", "2013/2/22", "2013/2/25", "2013/2/26", "2013/2/27",
"2013/2/28", "2013/3/1", "2013/3/4", "2013/3/5", "2013/3/6",
"2013/3/7", "2013/3/8", "2013/3/11", "2013/3/12", "2013/3/13",
"2013/3/14", "2013/3/15", "2013/3/18", "2013/3/19", "2013/3/20",
"2013/3/21", "2013/3/22", "2013/3/25", "2013/3/26", "2013/3/27",
"2013/3/28", "2013/3/29", "2013/4/1", "2013/4/2", "2013/4/3",
"2013/4/8", "2013/4/9", "2013/4/10", "2013/4/11", "2013/4/12",
"2013/4/15", "2013/4/16", "2013/4/17", "2013/4/18", "2013/4/19",
"2013/4/22", "2013/4/23", "2013/4/24", "2013/4/25", "2013/4/26",
"2013/5/2", "2013/5/3", "2013/5/6", "2013/5/7", "2013/5/8",
"2013/5/9", "2013/5/10", "2013/5/13", "2013/5/14", "2013/5/15",
"2013/5/16", "2013/5/17", "2013/5/20", "2013/5/21", "2013/5/22",
"2013/5/23", "2013/5/24", "2013/5/27", "2013/5/28", "2013/5/29",
"2013/5/30", "2013/5/31", "2013/6/3", "2013/6/4", "2013/6/5",
"2013/6/6", "2013/6/7", "2013/6/13"
]
axisLabel: {
show: true,
textStyle: {
color: '#a4a7ab'
}
}
}
],
yAxis : [
{
type : 'value',
textStyle: {
color: '#a4a7ab',
},
scale:true,
boundaryGap: [0.01, 0.01],
splitLine: {
show: false
},
axisLabel: {
show: true,
textStyle: {
color: '#a4a7ab'
}
}
}
],
series : [
{
name:'订单数',
type:'k',
data:[ // 开盘,收盘,最低,最高
[2320.26,2302.6,2287.3,2362.94],
[2300,2291.3,2288.26,2308.38],
[2295.35,2346.5,2295.35,2346.92],
[2347.22,2358.98,2337.35,2363.8],
[2360.75,2382.48,2347.89,2383.76],
[2383.43,2385.42,2371.23,2391.82],
[2377.41,2419.02,2369.57,2421.15],
[2425.92,2428.15,2417.58,2440.38],
[2411,2433.13,2403.3,2437.42],
[2432.68,2434.48,2427.7,2441.73],
[2430.69,2418.53,2394.22,2433.89],
[2416.62,2432.4,2414.4,2443.03],
[2441.91,2421.56,2415.43,2444.8],
[2420.26,2382.91,2373.53,2427.07],
[2383.49,2397.18,2370.61,2397.94],
[2378.82,2325.95,2309.17,2378.82],
[2322.94,2314.16,2308.76,2330.88],
[2320.62,2325.82,2315.01,2338.78],
[2313.74,2293.34,2289.89,2340.71],
[2297.77,2313.22,2292.03,2324.63],
[2322.32,2365.59,2308.92,2366.16],
[2364.54,2359.51,2330.86,2369.65],
[2332.08,2273.4,2259.25,2333.54],
[2274.81,2326.31,2270.1,2328.14],
[2333.61,2347.18,2321.6,2351.44],
[2340.44,2324.29,2304.27,2352.02],
[2326.42,2318.61,2314.59,2333.67],
[2314.68,2310.59,2296.58,2320.96],
[2309.16,2286.6,2264.83,2333.29],
[2282.17,2263.97,2253.25,2286.33],
[2255.77,2270.28,2253.31,2276.22],
[2269.31,2278.4,2250,2312.08],
[2267.29,2240.02,2239.21,2276.05],
[2244.26,2257.43,2232.02,2261.31],
[2257.74,2317.37,2257.42,2317.86],
[2318.21,2324.24,2311.6,2330.81],
[2321.4,2328.28,2314.97,2332],
[2334.74,2326.72,2319.91,2344.89],
[2318.58,2297.67,2281.12,2319.99],
[2299.38,2301.26,2289,2323.48],
[2273.55,2236.3,2232.91,2273.55],
[2238.49,2236.62,2228.81,2246.87],
[2229.46,2234.4,2227.31,2243.95],
[2234.9,2227.74,2220.44,2253.42],
[2232.69,2225.29,2217.25,2241.34],
[2196.24,2211.59,2180.67,2212.59],
[2215.47,2225.77,2215.47,2234.73],
[2224.93,2226.13,2212.56,2233.04],
[2236.98,2219.55,2217.26,2242.48],
[2218.09,2206.78,2204.44,2226.26],
[2199.91,2181.94,2177.39,2204.99],
[2169.63,2194.85,2165.78,2196.43],
[2195.03,2193.8,2178.47,2197.51],
[2181.82,2197.6,2175.44,2206.03],
[2201.12,2244.64,2200.58,2250.11],
[2236.4,2242.17,2232.26,2245.12],
[2242.62,2184.54,2182.81,2242.62],
[2187.35,2218.32,2184.11,2226.12],
[2213.19,2199.31,2191.85,2224.63],
[2203.89,2177.91,2173.86,2210.58],
[2170.78,2174.12,2161.14,2179.65],
[2179.05,2205.5,2179.05,2222.81],
[2212.5,2231.17,2212.5,2236.07],
[2227.86,2235.57,2219.44,2240.26],
[2242.39,2246.3,2235.42,2255.21],
[2246.96,2232.97,2221.38,2247.86],
[2228.82,2246.83,2225.81,2247.67],
[2247.68,2241.92,2231.36,2250.85],
[2238.9,2217.01,2205.87,2239.93],
[2217.09,2224.8,2213.58,2225.19],
[2221.34,2251.81,2210.77,2252.87],
[2249.81,2282.87,2248.41,2288.09],
[2286.33,2299.99,2281.9,2309.39],
[2297.11,2305.11,2290.12,2305.3],
[2303.75,2302.4,2292.43,2314.18],
[2293.81,2275.67,2274.1,2304.95],
[2281.45,2288.53,2270.25,2292.59],
[2286.66,2293.08,2283.94,2301.7],
[2293.4,2321.32,2281.47,2322.1],
[2323.54,2324.02,2321.17,2334.33],
[2316.25,2317.75,2310.49,2325.72],
[2320.74,2300.59,2299.37,2325.53],
[2300.21,2299.25,2294.11,2313.43],
[2297.1,2272.42,2264.76,2297.1],
[2270.71,2270.93,2260.87,2276.86],
[2264.43,2242.11,2240.07,2266.69],
[2242.26,2210.9,2205.07,2250.63],
[2190.1,2148.35,2126.22,2190.1]
]
name:'2021年',
type:'line',
stack: '吨',
data:[120, 132, 101, 134, 90, 230, 210,230,245,256,278,300],
itemStyle: {
normal: {
color:"#e15828"
}
}
},
{
name:'2022年',
type:'line',
stack: '吨',
data:[220, 182, 191, 234, 290, 330, 310,230,245,256,278,300],
itemStyle: {
normal: {
color:"#2e7cff"
}
}
}
]
};
myChart.setOption(option);
});
... ... @@ -2700,7 +2592,7 @@ function shouRu(){
{
type : 'category',
data : ['总收入','渠道A','渠道B','渠道C','渠道D','渠道E'],
data : ['西货站','北货站','综保区','国内站','军投货站'],
axisLabel : {
formatter: '{value} ',
textStyle: {
... ... @@ -2726,7 +2618,7 @@ function shouRu(){
],
series : [
{
name:'总收入',
name:'货站',
type:'bar',
stack: '总量',
itemStyle:{
... ... @@ -2742,7 +2634,7 @@ function shouRu(){
data:[0, 1700, 1400, 1200, 300, 0]
},
{
name:'渠道',
name:'货站',
type:'bar',
stack: '总量',
data:[2900, 1200, 300, 200, 900, 300],
... ... @@ -2778,7 +2670,7 @@ function shouRu(){
{
type : 'category',
splitLine: {show:false},
data : ['总收入','渠道A','渠道B','渠道C','渠道D','渠道E'],
data : ['西货站','北货站','综保区','军投站','国内站'],
axisLabel : {
formatter: '{value} ',
textStyle: {
... ... @@ -2807,7 +2699,7 @@ function shouRu(){
],
series : [
{
name:'总收入',
name:'货站',
type:'bar',
stack: '总量',
itemStyle: {
... ... @@ -2818,7 +2710,7 @@ function shouRu(){
data:[0, 1700, 1400, 1200, 300, 0]
},
{
name:'渠道',
name:'货量',
type:'bar',
stack: '总量',
itemStyle:{
... ... @@ -2840,7 +2732,7 @@ function shouRu(){
var myChart = echarts.init($("#allAly01")[0]);
option = {
title : {
text: '销售量组成',
text: '场站组成',
textStyle:{
color:"#e9ebee"
... ... @@ -2855,7 +2747,7 @@ function shouRu(){
legend: {
orient : 'vertical',
x : 'left',
data:['销售A','销售B','销售C','销售D','销售E'],
data:['西货站','北货站','综保区','军投货站','国内货站'],
textStyle:{
color:"#e9ebee"
... ... @@ -2865,12 +2757,12 @@ function shouRu(){
calculable : false,
series : [
{
name:'销售组成',
name:'场站进货量组成',
type:'pie',
radius : '55%',
center: ['50%', '60%'],
data:[
{value:335, name:'销售A',
{value:335, name:'西货站',
itemStyle:{
normal:{
color:'#1afffd'
... ... @@ -2878,28 +2770,28 @@ function shouRu(){
}
}
},
{value:310, name:'销售B',
{value:310, name:'北货站',
itemStyle:{
normal:{
color:'#2e7cff'
}
}},
{value:234, name:'销售C',
{value:234, name:'综保区',
itemStyle:{
normal:{
color:'#ffcb89'
}
}},
{value:135, name:'销售D',
{value:135, name:'军投货站',
itemStyle:{
normal:{
color:'#005ea1'
}
}},
{value:1548, name:'销售E',
{value:1548, name:'国内货站',
itemStyle:{
normal:{
color:'#0ad5ff'
... ... @@ -2918,7 +2810,7 @@ function shouRu(){
var myChart = echarts.init($("#allAly02")[0]);
option = {
title : {
text: '营销投入组成',
text: '场站出货量组成',
textStyle:{
color:"#e9ebee"
... ... @@ -2933,7 +2825,7 @@ function shouRu(){
legend: {
orient : 'vertical',
x : 'left',
data:['投入A','投入B','投入C','投入D','投入E','投入F','投入G','投入H','投入J'],
data:['西货站','北货站','综保区','军投站','国内站'],
textStyle:{
color:"#e9ebee"
... ... @@ -2943,73 +2835,45 @@ function shouRu(){
calculable : false,
series : [
{
name:'销售组成',
name:'货量组成',
type:'pie',
radius : '55%',
center: ['50%', '60%'],
data:[
{value:335, name:'投入A',
{value:335, name:'西货站',
itemStyle:{
normal:{
color:'#06b8f8'
}
}},
{value:310, name:'投入B',
{value:310, name:'北货站',
itemStyle:{
normal:{
color:'#ff5c58'
}
}},
{value:234, name:'投入C',
{value:234, name:'综保区',
itemStyle:{
normal:{
color:'#ffffb3'
}
}},
{value:135, name:'投入D',
{value:135, name:'军投站',
itemStyle:{
normal:{
color:'#fee581'
}
}},
{value:1548, name:'投入E',
{value:1548, name:'国内站',
itemStyle:{
normal:{
color:'#1afffd'
}
}},
{value:135, name:'投入F',
itemStyle:{
normal:{
color:'#1ec7f1'
}
}},
{value:135, name:'投入G',
itemStyle:{
normal:{
color:'#e15828'
}
}},
{value:135, name:'投入H',
itemStyle:{
normal:{
color:'#28a3e1'
}
}},
{value:135, name:'投入J',
itemStyle:{
normal:{
color:'#72e7d5'
}
}}
]
}
... ... @@ -3023,7 +2887,7 @@ function shouRu(){
var myChart = echarts.init($("#allAly03")[0]);
option = {
title : {
text: '销售量与投入量分析',
text: '场站进出货量对比分析',
textStyle:{
color:"#e9ebee"
... ... @@ -3037,7 +2901,7 @@ function shouRu(){
legend: {
orient : 'vertical',
x : 'left',
data:['营销投入量','销售量'],
data:['上年吞吐量','今年吞吐量'],
textStyle:{
color:"#e9ebee"
... ... @@ -3077,7 +2941,7 @@ function shouRu(){
},
series : [
{
name:'营销投入量',
name:'去年吞吐量',
type:'bar',
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],
itemStyle: {
... ... @@ -3098,9 +2962,9 @@ function shouRu(){
}
},
{
name:'销售量',
name:'今年吞吐量',
type:'bar',
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],
data:[2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 38.8, 6.0, 2.3],
itemStyle: {
normal: {
color: '#1afffd'
... ...