Authored by jack-xue

fix style

... ... @@ -18,10 +18,10 @@
{
"date": "2016-12-16",
"type": "pc/wap/app/all"
}
}
#### 响应内容json
{
{
"over_view": {
"type": "all",
"date": "2016-12-16",
... ... @@ -31,9 +31,9 @@
"loss_rate": "",
"avg_pv": "",
"avg_stay": ""
}
}
}
}
}
### 2、流量趋势分析(现在默认近7天的数据)
... ... @@ -55,8 +55,8 @@
"loss_rate",
"avg_pv",
"avg_stay"
]
}
]
}
#### 响应内容json
{
... ... @@ -88,8 +88,8 @@
"avg_stay": ""
}
]
}
}
}
### 3、来源排行分析
... ... @@ -107,7 +107,7 @@
{
"date": "2016-12-26",
"type": "pc/wireless"
}
}
#### 响应内容json(结果已排序 index 从大到小排列)
{
... ... @@ -130,8 +130,8 @@
"order_rate_change": "+- 6%"
}
]
}
}
}
... ... @@ -151,12 +151,11 @@
{
"date": "2016-12-16",
"type": “brand/product”,
“top”: 50
}
"top": 50
}
#### 响应内容json (同上 index 排序)
{
{
"action_rank": {
"type": "brand",
"date": "2016-12-26",
... ... @@ -174,8 +173,8 @@
"order_rate": "8%"
}
]
}
}
}
### 5、用户特征分析
... ... @@ -193,12 +192,11 @@
{
"date": "2016-12-16",
"type": “terminal/city/gender/comp"
}
}
#### 响应内容json
#### terminal
{
##### terminal
{
"user_rank": {
"type": "terminal",
"date": "2016-12-26",
... ... @@ -231,13 +229,13 @@
}
]
}
}
}
#### city
##### city
{
{
"user_rank": {
"type": "ciity",
"date": "2016-12-26",
... ... @@ -255,13 +253,13 @@
"order_rate": "5%"
}
]
}
}
}
#### gender
##### gender
{
{
"user_rank": {
"type": "gender",
"date": "2016-12-26",
... ... @@ -285,14 +283,14 @@
"order_rate": "5%"
}
]
}
}
}
#### comp 组成
##### comp 组成
{
{
"user_rank": {
"type": "comp",
"date": "2016-12-26",
... ... @@ -310,8 +308,8 @@
"order_rate": "95%"
}
]
}
}
}
... ...