sitearea_footfallcounting_分钟
产品描述 | 存储分钟级别 人流量统计 data |
多维数据集名称 | sitearea_footfallcounting_分钟 |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“分钟”。 分、时、日、周、月、年 |
措施 |
此多维数据集的可用指标,请参阅 指标定义 获取指标详细信息
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
sitearea_footfallcounting_hour
产品描述 | 营业时间级别 人流量统计 data |
多维数据集名称 | sitearea_footfallcounting_hour |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“小时”。 时、日、周、月、年 |
措施 |
此多维数据集的可用指标,请参阅 指标定义 获取指标详细信息
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
sitegroup_footfallcounting_day
产品描述 | 站点组日级别 人流量统计 data |
多维数据集名称 | sitegroup_footfallcounting_day |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“天”。 日、周、月、年 |
措施 |
此多维数据集的可用指标,请参阅 指标定义 获取指标详细信息
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
sitegroup_footfallcounting_hour
产品描述 | 站点组小时级别 人流量统计 data |
多维数据集名称 | sitegroup_footfallcounting_hour |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“小时”。 时、日、周、月、年 |
措施 |
此多维数据集的可用指标,请参阅 指标定义 获取指标详细信息
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
site_footfallcounting_15 分钟
产品描述 | 存储站点分钟级别 人流量统计 累积至 15 分钟的数据 |
多维数据集名称 | site_footfallcounting_15 分钟 |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“分钟”。 分、时、日、周、月、年 |
措施 |
此多维数据集的可用指标,请参阅 指标定义 获取指标详细信息
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
"site_footfallcounting_15minute.FC01_1_SUM",
"site_footfallcounting_15minute.FC02_1_SUM",
“site_footfallcounting_15minute.SO01_1_SUM”
],
“方面”: [
"site_footfallcounting_15minute.CompanyId",
"site_footfallcounting_15minute.CompanyName",
"site_footfallcounting_15minute.BranchId",
“site_footfallcounting_15minute.BranchName”
],
“过滤器”:[
{
"member": "site_footfallcounting_15minute.CompanyId",
“运算符”:“等于”,
“价值观”:[
“12345”
]
},
{
"member": "site_footfallcounting_15minute.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
},
{
"member": "site_footfallcounting_15minute.isoperating",
“运算符”:“等于”,
“价值观”:[
“真正”
]
},
{
“会员”:“site_footfallcounting_15分钟。网站是否已验证",
“运算符”:“等于”,
“价值观”:[
“真正”
]
}
],
“时间维度”:[
{
"维度": "site_footfallcounting_15minute.Time",
“日期范围”: [
"2022-01-01T00:00:00.000",
“ 2022-01-02”
],
“粒度”:“分钟”
}
],
“命令”: [
[
"site_footfallcounting_15minute.BranchId",
“上升”
],
[
"site_footfallcounting_15minute.Time",
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
"site_footfallcounting_15minute.CompanyId": "12345",
"site_footfallcounting_15minute.CompanyName": "DemoCompany",
"site_footfallcounting_15minute.BranchId": "22222",
"site_footfallcounting_15minute.BranchName": "DemoBranch",
"site_footfallcounting_15minute.Time.minute": "2022-01-01T00:00:00.000",
"site_footfallcounting_15minute.Time": "2022-01-01T00:00:00.000",
“site_footfallcounting_15minute.FC01_1_SUM”:0,
“site_footfallcounting_15minute.FC02_1_SUM”:0,
“site_footfallcounting_15minute.SO01_1_SUM”:0
},
{
"site_footfallcounting_15minute.CompanyId": "12345",
"site_footfallcounting_15minute.CompanyName": "DemoCompany",
"site_footfallcounting_15minute.BranchId": "22222",
"site_footfallcounting_15minute.BranchName": "DemoBranch",
"site_footfallcounting_15minute.Time.minute": "2022-01-01T09:00:00.000",
"site_footfallcounting_15minute.Time": "2022-01-01T09:00:00.000",
“site_footfallcounting_15minute.FC01_1_SUM”:5,
“site_footfallcounting_15minute.FC02_1_SUM”:2,
“site_footfallcounting_15minute.SO01_1_SUM”:1
},
{
"site_footfallcounting_15minute.CompanyId": "12345",
"site_footfallcounting_15minute.CompanyName": "DemoCompany",
"site_footfallcounting_15minute.BranchId": "22222",
"site_footfallcounting_15minute.BranchName": "DemoBranch",
"site_footfallcounting_15minute.Time.minute": "2022-01-01T09:30:00.000",
"site_footfallcounting_15minute.Time": "2022-01-01T09:30:00.000",
“site_footfallcounting_15minute.FC01_1_SUM”:3,
“site_footfallcounting_15minute.FC02_1_SUM”:4,
“site_footfallcounting_15minute.SO01_1_SUM”:0
}
],
...
}
|
site_footfallcounting_30 分钟
产品描述 | 存储站点分钟级别 人流量统计 累积至 30 分钟的数据 |
多维数据集名称 | site_footfallcounting_30 分钟 |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“分钟”。 分、时、日、周、月、年 |
措施 |
此多维数据集的可用指标,请参阅 指标定义 获取指标详细信息
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
"site_footfallcounting_30minute.FC01_1_SUM",
“site_footfallcounting_30minute.FC02_1_SUM”
],
“方面”: [
"site_footfallcounting_30minute.CompanyId",
"site_footfallcounting_30minute.CompanyName",
"site_footfallcounting_30minute.BranchId",
“site_footfallcounting_30minute.BranchName”
],
“过滤器”:[
{
"member": "site_footfallcounting_30minute.CompanyId",
“运算符”:“等于”,
“价值观”:[
“12345”
]
},
{
"member": "site_footfallcounting_30minute.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
},
{
"member": "site_footfallcounting_30minute.isoperating",
“运算符”:“等于”,
“价值观”:[
“真正”
]
}
],
“时间维度”:[
{
"维度": "site_footfallcounting_30minute.Time",
“日期范围”: [
"2022-01-01T00:00:00.000",
“ 2022-01-02”
],
“粒度”:“分钟”
}
],
“命令”: [
[
"site_footfallcounting_30minute.BranchId",
“上升”
],
[
"site_footfallcounting_30minute.Time",
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
"site_footfallcounting_30minute.CompanyId": "12345",
"site_footfallcounting_30minute.CompanyName": "DemoCompany",
"site_footfallcounting_30minute.BranchId": "22222",
"site_footfallcounting_30minute.BranchName": "DemoBranch",
"site_footfallcounting_30minute.Time.minute": "2022-01-01T00:00:00.000",
"site_footfallcounting_30minute.Time": "2022-01-01T00:00:00.000",
“site_footfallcounting_30minute.FC01_1_SUM”:0,
“site_footfallcounting_30minute.FC02_1_SUM”:0
},
{
"site_footfallcounting_30minute.CompanyId": "12345",
"site_footfallcounting_30minute.CompanyName": "DemoCompany",
"site_footfallcounting_30minute.BranchId": "22222",
"site_footfallcounting_30minute.BranchName": "DemoBranch",
"site_footfallcounting_30minute.Time.minute": "2022-01-01T09:00:00.000",
"site_footfallcounting_30minute.Time": "2022-01-01T09:00:00.000",
“site_footfallcounting_30minute.FC01_1_SUM”:5,
“site_footfallcounting_30minute.FC02_1_SUM”:2
},
{
"site_footfallcounting_30minute.CompanyId": "12345",
"site_footfallcounting_30minute.CompanyName": "DemoCompany",
"site_footfallcounting_30minute.BranchId": "22222",
"site_footfallcounting_30minute.BranchName": "DemoBranch",
"site_footfallcounting_30minute.Time.minute": "2022-01-01T09:30:00.000",
"site_footfallcounting_30minute.Time": "2022-01-01T09:30:00.000",
“site_footfallcounting_30minute.FC01_1_SUM”:3,
“site_footfallcounting_30minute.FC02_1_SUM”:4
}
],
...
}
|
area_footfallcounting_15分钟
产品描述 | 店铺面积分钟级 人流量统计 累积至 15 分钟的数据 |
多维数据集名称 | area_footfallcounting_15分钟 |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“分钟”。 分、时、日、周、月、年 |
措施 |
此多维数据集的可用指标,请参阅 指标定义 获取指标详细信息
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
"area_footfallcounting_15minute.FC01_1_SUM",
"area_footfallcounting_15minute.FC02_1_SUM",
“area_footfallcounting_15minute.SO01_1_SUM”
],
“方面”: [
"area_footfallcounting_15minute.CompanyId",
"area_footfallcounting_15minute.CompanyName",
"area_footfallcounting_15minute.BranchId",
"area_footfallcounting_15minute.BranchName",
"area_footfallcounting_15minute.AreaId",
“area_footfallcounting_15minute.AreaName”
],
“过滤器”:[
{
"member": "area_footfallcounting_15minute.CompanyId",
“运算符”:“等于”,
“价值观”:[
“12345”
]
},
{
"member": "area_footfallcounting_15minute.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
},
{
"member": "area_footfallcounting_15minute.isoperating",
“运算符”:“等于”,
“价值观”:[
“真正”
]
}
],
“时间维度”:[
{
"维度": "area_footfallcounting_15minute.Time",
“日期范围”: [
"2022-01-01T00:00:00.000",
“ 2022-01-02”
],
“粒度”:“分钟”
}
],
“命令”: [
[
"area_footfallcounting_15minute.BranchId",
“上升”
],
[
"area_footfallcounting_15minute.AreaId",
“上升”
],
[
"area_footfallcounting_15minute.Time",
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
"area_footfallcounting_15minute.CompanyId": "12345",
"area_footfallcounting_15minute.CompanyName": "DemoCompany",
"area_footfallcounting_15minute.BranchId": "22222",
"area_footfallcounting_15minute.BranchName": "DemoBranch",
"area_footfallcounting_15minute.AreaId": "-1",
“area_footfallcounting_15minute.AreaName”:空,
"area_footfallcounting_15minute.Time.minute": "2022-01-01T00:00:00.000",
"area_footfallcounting_15minute.Time": "2022-01-01T00:00:00.000",
“area_footfallcounting_15minute.FC01_1_SUM”:0,
“area_footfallcounting_15minute.FC02_1_SUM”:0,
“area_footfallcounting_15minute.SO01_1_SUM”:0
},
{
"area_footfallcounting_15minute.CompanyId": "12345",
"area_footfallcounting_15minute.CompanyName": "DemoCompany",
"area_footfallcounting_15minute.BranchId": "22222",
"area_footfallcounting_15minute.BranchName": "DemoBranch",
"area_footfallcounting_15minute.AreaId": "10101",
"area_footfallcounting_15minute.AreaName": "DemoArea1",
"area_footfallcounting_15minute.Time.minute": "2022-01-01T00:00:00.000",
"area_footfallcounting_15minute.Time": "2022-01-01T00:00:00.000",
“area_footfallcounting_15minute.FC01_1_SUM”:0,
“area_footfallcounting_15minute.FC02_1_SUM”:0,
“area_footfallcounting_15minute.SO01_1_SUM”:0
},
{
"area_footfallcounting_15minute.CompanyId": "12345",
"area_footfallcounting_15minute.CompanyName": "DemoCompany",
"area_footfallcounting_15minute.BranchId": "22222",
"area_footfallcounting_15minute.BranchName": "DemoBranch",
"area_footfallcounting_15minute.AreaId": "20202",
"area_footfallcounting_15minute.AreaName": "DemoArea2",
"area_footfallcounting_15minute.Time.minute": "2022-01-01T00:00:00.000",
"area_footfallcounting_15minute.Time": "2022-01-01T00:00:00.000",
“area_footfallcounting_15minute.FC01_1_SUM”:0,
“area_footfallcounting_15minute.FC02_1_SUM”:0,
“area_footfallcounting_15minute.SO01_1_SUM”:0
}
],
...
}
|
area_footfallcounting_30分钟
产品描述 | 店铺面积分钟级 人流量统计 累积至 30 分钟的数据 |
多维数据集名称 | area_footfallcounting_30分钟 |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“分钟”。 分、时、日、周、月、年 |
措施 |
此多维数据集的可用指标,请参阅 指标定义 获取指标详细信息
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
"area_footfallcounting_30minute.FC01_1_SUM",
“area_footfallcounting_30minute.FC02_1_SUM”
],
“方面”: [
"area_footfallcounting_30minute.CompanyId",
"area_footfallcounting_30minute.CompanyName",
"area_footfallcounting_30minute.BranchId",
"area_footfallcounting_30minute.BranchName",
"area_footfallcounting_30minute.AreaId",
“area_footfallcounting_30minute.AreaName”
],
“过滤器”:[
{
"member": "area_footfallcounting_30minute.CompanyId",
“运算符”:“等于”,
“价值观”:[
“12345”
]
},
{
"member": "area_footfallcounting_30minute.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
},
{
"member": "area_footfallcounting_30minute.isoperating",
“运算符”:“等于”,
“价值观”:[
“真正”
]
}
],
“时间维度”:[
{
"维度": "area_footfallcounting_30minute.Time",
“日期范围”: [
"2022-01-01T00:00:00.000",
“ 2022-01-02”
],
“粒度”:“分钟”
}
],
“命令”: [
[
"area_footfallcounting_30minute.BranchId",
“上升”
],
[
"area_footfallcounting_30minute.AreaId",
“上升”
],
[
"area_footfallcounting_30minute.Time",
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
"area_footfallcounting_30minute.CompanyId": "12345",
"area_footfallcounting_30minute.CompanyName": "DemoCompany",
"area_footfallcounting_30minute.BranchId": "22222",
"area_footfallcounting_30minute.BranchName": "DemoBranch",
"area_footfallcounting_30minute.AreaId": "-1",
“area_footfallcounting_30minute.AreaName”:空,
"area_footfallcounting_30minute.Time.minute": "2022-01-01T00:00:00.000",
"area_footfallcounting_30minute.Time": "2022-01-01T00:00:00.000",
“area_footfallcounting_30minute.FC01_1_SUM”:0,
“area_footfallcounting_30minute.FC02_1_SUM”:0
},
{
"area_footfallcounting_30minute.CompanyId": "12345",
"area_footfallcounting_30minute.CompanyName": "DemoCompany",
"area_footfallcounting_30minute.BranchId": "22222",
"area_footfallcounting_30minute.BranchName": "DemoBranch",
"area_footfallcounting_30minute.AreaId": "10101",
"area_footfallcounting_30minute.AreaName": "DemoArea1",
"area_footfallcounting_30minute.Time.minute": "2022-01-01T00:00:00.000",
"area_footfallcounting_30minute.Time": "2022-01-01T00:00:00.000",
“area_footfallcounting_30minute.FC01_1_SUM”:0,
“area_footfallcounting_30minute.FC02_1_SUM”:0
},
{
"area_footfallcounting_30minute.CompanyId": "12345",
"area_footfallcounting_30minute.CompanyName": "DemoCompany",
"area_footfallcounting_30minute.BranchId": "22222",
"area_footfallcounting_30minute.BranchName": "DemoBranch",
"area_footfallcounting_30minute.AreaId": "20202",
"area_footfallcounting_30minute.AreaName": "DemoArea2",
"area_footfallcounting_30minute.Time.minute": "2022-01-01T00:00:00.000",
"area_footfallcounting_30minute.Time": "2022-01-01T00:00:00.000",
“area_footfallcounting_30minute.FC01_1_SUM”:0,
“area_footfallcounting_30minute.FC02_1_SUM”:0
}
],
...
}
|
sitearea_footfallcounting_分钟_accumulate
产品描述 | 存储分钟级别 人流量统计 累积数据 |
多维数据集名称 | sitearea_footfallcounting_分钟_accumulate |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“分钟”。 分、时、日、周、月、年 |
措施 |
此多维数据集的可用指标,请参阅 指标定义 获取指标详细信息
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
“sitearea_footfallcounting_minute_accumulate.SO05_1_MAX”
],
“方面”: [
"sitearea_footfallcounting_minute_accumulate.CompanyId",
"sitearea_footfallcounting_minute_accumulate.CompanyName",
"sitearea_footfallcounting_minute_accumulate.BranchId",
"sitearea_footfallcounting_minute_accumulate.BranchName",
"sitearea_footfallcounting_minute_accumulate.AreaId",
“sitearea_footfallcounting_minute_accumulate.AreaName”
],
“过滤器”:[
{
"member": "sitearea_footfallcounting_minute_accumulate.BranchId",
“运算符”:“等于”,
“价值观”:[
“12345”
]
},
{
"member": "sitearea_footfallcounting_minute_accumulate.AreaId",
“运算符”:“等于”,
“价值观”:[
“1111”
]
}
],
“时间维度”:[
{
“维度”:“sitearea_footfallcounting_minute_accumulate.Time”,
“日期范围”: [
"2022-02-01T00:00:00.000",
“ 2022-02-02”
],
“粒度”:“分钟”
}
],
“命令”: [
[
"sitearea_footfallcounting_minute_accumulate.Time",
“ desc”
]
],
“限制”:1
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
"sitearea_footfallcounting_minute_accumulate.CompanyId": "10101",
"sitearea_footfallcounting_minute_accumulate.CompanyName": "DemoCompany",
"sitearea_footfallcounting_minute_accumulate.BranchId": "12345",
"sitearea_footfallcounting_minute_accumulate.BranchName": "DemoBranch",
"sitearea_footfallcounting_minute_accumulate.AreaId": "1111",
"sitearea_footfallcounting_minute_accumulate.AreaName": "DemoArea",
"sitearea_footfallcounting_minute_accumulate.Time.minute": "2022-02-01T23:50:00.000",
"sitearea_footfallcounting_minute_accumulate.Time": "2022-02-01T23:50:00.000",
“sitearea_footfallcounting_minute_accumulate.SO05_1_MAX”:84
}
],
...
}
|
sitearea_buscounting_分钟
产品描述 | 存储站点和区域分钟级公交车计数数据 |
多维数据集名称 | sitearea_buscounting_分钟 |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“分钟”。 分、时、日、周、月、年 |
措施 |
此多维数据集的可用指标,请参阅 指标定义 获取指标详细信息
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 | { “询问”: { “措施”:[ "sitearea_buscounting_minute.FC01_1_SUM", "sitearea_buscounting_minute.FC02_1_SUM", “sitearea_buscounting_minute.SO01_1_SUM” ], “方面”: [ "sitearea_buscounting_minute.TripId", "sitearea_buscounting_minute.ScheduledStartTime", "sitearea_buscounting_minute.Time", "sitearea_buscounting_minute.ActualArrivalDateTime", "sitearea_buscounting_minute.CompanyId", "sitearea_buscounting_minute.CompanyName", "sitearea_buscounting_minute.BranchId", "sitearea_buscounting_minute.BranchName", "sitearea_buscounting_minute.AreaId", “sitearea_buscounting_minute.AreaName” ], “时间维度”:[ { "维度": "sitearea_buscounting_minute.Time", “日期范围”: [ "2022-03-10T00:00:00.000", “ 2022-03-11” ], “粒度”:“分钟” } ], “过滤器”:[ { "member": "sitearea_buscounting_minute.CompanyId", “运算符”:“等于”, “价值观”:[ “12345” ] }, { "member": "sitearea_buscounting_minute.BranchId", “运算符”:“等于”, “价值观”:[ "11111", “22222” ] }, { "member": "sitearea_buscounting_minute.AreaId", “运算符”:“等于”, “价值观”:[ "1101", “2202” ] }, { "member": "sitearea_buscounting_minute.AreaName", “运算符”:“等于”, “价值观”:[ "区域 1", “区域 2” ] } ], “命令”: [ [ "sitearea_buscounting_minute.TripId", “上升” ], [ "sitearea_buscounting_minute.AreaId", “上升” ], [ "sitearea_buscounting_minute.ScheduledStartTime", “上升” ] ] } } |
响应 - JSON 示例 |
{
...
“数据”: [
{
"sitearea_buscounting_minute.TripId": "D5975107-F39E-49BC-A975-4016011EA0E7",
"sitearea_buscounting_minute.StationId": "61025D6D-94A9-4DDE-AE23-BAD5D93BCC03",
"sitearea_buscounting_minute.ScheduledStartTime": "2022-03-10T18:12:00.000",
"sitearea_buscounting_minute.Time": "2022-03-10T18:18:46.000",
"sitearea_buscounting_minute.ActualArrivalDateTime": "2022-03-10T18:18:46.000",
“sitearea_buscounting_minute.CompanyId”:12345,
"sitearea_buscounting_minute.CompanyName": "Company1",
“sitearea_buscounting_minute.BranchId”:11111,
"sitearea_buscounting_minute.BranchName": "Branch1",
“sitearea_buscounting_minute.AreaId”:1101,
"sitearea_buscounting_minute.AreaName": "Area1",
"sitearea_buscounting_minute.Time.minute": "2022-03-10T18:18:00.000",
“sitearea_buscounting_minute.FC01_1_SUM”:8,
“sitearea_buscounting_minute.FC02_1_SUM”:6,
“sitearea_buscounting_minute.SO01_1_SUM”:2
},
{
"sitearea_buscounting_minute.TripId": "D5975107-F39E-49BC-A975-4016011EA0E7",
"sitearea_buscounting_minute.StationId": "2D931974-2423-457C-B057-92BD31B5E9FF",
"sitearea_buscounting_minute.ScheduledStartTime": "2022-03-10T18:14:00.000",
"sitearea_buscounting_minute.Time": "2022-03-10T18:21:10.000",
"sitearea_buscounting_minute.ActualArrivalDateTime": "2022-03-10T18:21:10.000",
“sitearea_buscounting_minute.CompanyId”:12345,
"sitearea_buscounting_minute.CompanyName": "Company1",
“sitearea_buscounting_minute.BranchId”:11111,
"sitearea_buscounting_minute.BranchName": "Branch1",
“sitearea_buscounting_minute.AreaId”:1101,
"sitearea_buscounting_minute.AreaName": "Area1",
"sitearea_buscounting_minute.Time.minute": "2022-03-10T18:21:00.000",
“sitearea_buscounting_minute.FC01_1_SUM”:0,
“sitearea_buscounting_minute.FC02_1_SUM”:0,
“sitearea_buscounting_minute.SO01_1_SUM”:2
},
{
"sitearea_buscounting_minute.TripId": "D5975107-F39E-49BC-A975-4016011EA0E7",
"sitearea_buscounting_minute.StationId": "E24E9D16-D6D9-432D-ABC8-A9D71C1A4FB1",
"sitearea_buscounting_minute.ScheduledStartTime": "2022-03-10T18:15:00.000",
"sitearea_buscounting_minute.Time": "2022-03-10T18:22:02.000",
"sitearea_buscounting_minute.ActualArrivalDateTime": "2022-03-10T18:22:02.000",
“sitearea_buscounting_minute.CompanyId”:12345,
"sitearea_buscounting_minute.CompanyName": "Company1",
“sitearea_buscounting_minute.BranchId”:11111,
"sitearea_buscounting_minute.BranchName": "Branch1",
“sitearea_buscounting_minute.AreaId”:1101,
"sitearea_buscounting_minute.AreaName": "Area1",
"sitearea_buscounting_minute.Time.minute": "2022-03-10T18:22:00.000",
“sitearea_buscounting_minute.FC01_1_SUM”:3,
“sitearea_buscounting_minute.FC02_1_SUM”:0,
“sitearea_buscounting_minute.SO01_1_SUM”:5
}
],
...
}
|
site_area_1d_joined_data
产品描述 | 具有不同指标的站点和区域数据 |
多维数据集名称 |
site_area_1d_joined_data
|
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“天”。 日、周、月、年 |
措施 |
此多维数据集的可用指标,请参阅 指标定义 获取指标详细信息
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
业务领域 |
可用于过滤数据的段:
*不使用IsSiteLevel查询站点级别数据可能会导致返回错误的数据。 |
正文 - JSON 示例 | {
“询问”: {
“措施”:[
“site_area_1d_joined_data.PFC01_11”,
“site_area_1d_joined_data.PWA01”,
“site_area_1d_joined_data.SWA02”,
“site_area_1d_joined_data.PFC27”,
“site_area_1d_joined_data.SWA04”,
“site_area_1d_joined_data.SWA06”
],
“方面”: [
“site_area_1d_joined_data.CompanyId”,
“site_area_1d_joined_data.CompanyName”,
“site_area_1d_joined_data.BranchId”,
"site_area_1d_joined_data.BranchName",
“site_area_1d_joined_data.时间”
],
“过滤器”:[
{
"member": "site_area_1d_joined_data.BranchId",
“运算符”:“等于”,
“价值观”:[
“1”
]
}
],
“时间维度”:[
{
"dimension": "site_area_1d_joined_data.Time",
“日期范围”: [
"2024-01-19T00:00:00.000000",
"2024-01-20T23:59:59.000000"
],
“粒度”:“天”
}
],
“段”:[
“site_area_1d_joined_data.IsSiteLevel”
],
“订单”:{
"site_area_1d_joined_data.Time": "asc"
}
}
}
|
响应 - JSON 示例 |
{
...
“数据”:
[
{
“site_area_1d_joined_data.CompanyId”:1,
"site_area_1d_joined_data.CompanyName": "演示公司",
"site_area_1d_joined_data.BranchId": 1,
"site_area_1d_joined_data.BranchName": "购物中心",
"site_area_1d_joined_data.Time": "2024-01-19T00:00:00.000",
"site_area_1d_joined_data.Time.day": "2024-01-19T00:00:00.000",
“site_area_1d_joined_data.PFC01_11”:4958,
“site_area_1d_joined_data.PWA01”:6060,
“site_area_1d_joined_data.SWA02”:0.45,
“site_area_1d_joined_data.PFC27”:1234.56,
“site_area_1d_joined_data.SWA04”:0.66,
“site_area_1d_joined_data.SWA06”:0.34
},
{
“site_area_1d_joined_data.CompanyId”:1,
"site_area_1d_joined_data.CompanyName": "演示公司",
"site_area_1d_joined_data.BranchId": 1,
"site_area_1d_joined_data.BranchName": "购物中心",
"site_area_1d_joined_data.Time": "2024-01-20T00:00:00.000",
"site_area_1d_joined_data.Time.day": "2024-01-20T00:00:00.000",
“site_area_1d_joined_data.PFC01_11”:4929,
“site_area_1d_joined_data.PWA01”:7070,
“site_area_1d_joined_data.SWA02”:0.41,
“site_area_1d_joined_data.PFC27”:706.61,
“site_area_1d_joined_data.SWA04”:0.21,
“site_area_1d_joined_data.SWA06”:0.79
}
],
...
}
|
site_area_1h_joined_data
产品描述 | 具有不同指标的站点和区域数据 |
多维数据集名称 |
site_area_1h_joined_data
|
时间粒度 |
该立方体的时间粒度是“小时”。请使用 site_area_1d_joined_data 以获得更大的时间粒度。 |
措施 |
此多维数据集的可用指标,请参阅 指标定义 获取指标详细信息
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
业务领域 |
可用于过滤数据的段:
*不使用IsSiteLevel查询站点级别数据可能会导致返回错误的数据。 |
正文 - JSON 示例 | {
“询问”: {
“措施”:[
“site_area_1h_joined_data.PFC01_11”,
“site_area_1h_joined_data.PWA01”,
“site_area_1h_joined_data.SWA02”,
“site_area_1h_joined_data.PFC27”
],
“方面”: [
“site_area_1h_joined_data.CompanyId”,
“site_area_1h_joined_data.CompanyName”,
“site_area_1h_joined_data.BranchId”,
"site_area_1h_joined_data.BranchName",
“site_area_1h_joined_data.时间”
],
“过滤器”:[
{
"member": "site_area_1h_joined_data.BranchId",
“运算符”:“等于”,
“价值观”:[
“25610”
]
}
],
“时间维度”:[
{
"dimension": "site_area_1h_joined_data.Time",
“日期范围”: [
"2024-01-19T10:00:00.000000",
"2024-01-19T13:59:59.000000"
],
“粒度”:“小时”
}
],
“段”:[
“site_area_1h_joined_data.IsSiteLevel”
],
“订单”:{
"site_area_1h_joined_data.Time": "asc"
}
}
}
|
响应 - JSON 示例 |
{
...
“数据”:
[
{
“site_area_1h_joined_data.CompanyId”:1,
"site_area_1h_joined_data.CompanyName": "演示公司",
“site_area_1h_joined_data.BranchId”:1,
"site_area_1h_joined_data.BranchName": "购物中心",
"site_area_1h_joined_data.Time": "2024-01-19T10:00:00.000",
"site_area_1h_joined_data.Time.hour": "2024-01-19T10:00:00.000",
“site_area_1h_joined_data.PFC01_11”:325,
“site_area_1h_joined_data.PWA01”:101,
“site_area_1h_joined_data.SWA02”:0.76,
“site_area_1h_joined_data.PFC27”:310.20
},
{
“site_area_1h_joined_data.CompanyId”:18330,
"site_area_1h_joined_data.CompanyName": "演示公司",
“site_area_1h_joined_data.BranchId”:25610,
"site_area_1h_joined_data.BranchName": "购物中心",
"site_area_1h_joined_data.Time": "2024-01-19T11:00:00.000",
"site_area_1h_joined_data.Time.hour": "2024-01-19T11:00:00.000",
“site_area_1h_joined_data.PFC01_11”:440,
“site_area_1h_joined_data.PWA01”:202,
“site_area_1h_joined_data.SWA02”:0.69,
“site_area_1h_joined_data.PFC27”:322.21
},
...
],
...
}
|
站点区域占用数据
产品描述 | 存储站点和区域(空间感)占用数据 |
多维数据集名称 | 站点区域占用数据 |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“秒”。 秒、分、时、日、周、月、年 |
措施 |
此多维数据集的可用指标,请参阅 指标定义 获取指标详细信息
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
"site_area_occupancy_data.PSO05_MIN",
"site_area_occupancy_data.PSO05_MAX",
“site_area_occupancy_data.PSO05_AVG”
],
“方面”: [
"site_area_occupancy_data.CompanyId",
"site_area_occupancy_data.CompanyName", "site_area_occupancy_data.BranchId", "site_area_occupancy_data.BranchName", "site_area_occupancy_data.AreaId", “site_area_occupancy_data.AreaName” ],
“过滤器”:[
{
"member": "site_area_occupancy_data.CompanyId",
“运算符”:“等于”,
“价值观”:[
“12345”
]
},
{
"member": "site_area_occupancy_data.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
},
{ "member": "site_area_occupancy_data.AreaId", “运算符”:“等于”, “价值观”:[ “33333” ] } ],
“时间维度”:[
{
"dimension": "site_area_occupancy_data.Time",
“日期范围”: [
"2022-01-01T00:00:00.000",
“ 2022-01-02”
],
“粒度”:“分钟”
}
],
“命令”: [
[
"site_area_occupancy_data.BranchId",
“上升”
],
[
"site_area_occupancy_data.Time",
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
"site_area_occupancy_data.CompanyId": "12345",
"site_area_occupancy_data.CompanyName": "DemoCompany",
"site_area_occupancy_data.BranchId": "22222",
"site_area_occupancy_data.BranchName": "DemoBranch",
"site_area_occupancy_data.AreaId": "33333",
"site_area_occupancy_data.AreaName": "演示区",
"site_area_occupancy_data.Time.minute": "2022-01-01T00:00:00.000",
"site_area_occupancy_data.Time": "2022-01-01T00:00:00.000",
“site_area_occupancy_data.PSO05_MIN”:1,
“site_area_occupancy_data.PSO05_MAX”:1,
“site_area_occupancy_data.PSO05_AVG”:1
},
{
"site_area_occupancy_data.CompanyId": "12345",
"site_area_occupancy_data.CompanyName": "DemoCompany",
"site_area_occupancy_data.BranchId": "22222",
"site_area_occupancy_data.BranchName": "DemoBranch",
"site_area_occupancy_data.AreaId": "33333",
"site_area_occupancy_data.AreaName": "演示区",
"site_area_occupancy_data.Time.minute": "2022-01-01T09:27:00.000",
"site_area_occupancy_data.Time": "2022-01-01T09:27:00.000",
“site_area_occupancy_data.PSO05_MIN”:0,
“site_area_occupancy_data.PSO05_MAX”:1,
“site_area_occupancy_data.PSO05_AVG”:0.6666666666666666
},
{
"site_area_occupancy_data.CompanyId": "12345",
"site_area_occupancy_data.CompanyName": "DemoCompany",
"site_area_occupancy_data.BranchId": "22222",
"site_area_occupancy_data.BranchName": "DemoBranch",
"site_area_occupancy_data.AreaId": "33333",
"site_area_occupancy_data.AreaName": "演示区",
"site_area_occupancy_data.Time.minute": "2022-01-01T09:30:00.000",
"site_area_occupancy_data.Time": "2022-01-01T09:30:00.000",
“site_area_occupancy_data.PSO05_MIN”:0,
“site_area_occupancy_data.PSO05_MAX”:2,
“site_area_occupancy_data.PSO05_AVG”:1.2
}
],
...
}
|
area_aggregate_ocupancy_data_15m
产品描述 | 存储场地和区域(进出)占用数据 |
多维数据集名称 | area_aggregate_ocupancy_data_15m |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为 15 分钟(仍使用“分钟”作为 API 的粒度参数值)。 分、时、日、周、月、年 |
措施 |
此多维数据集的可用指标,请参阅 指标定义 获取指标详细信息
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”:
{
“措施”:[
“区域聚合占用数据_15m.PSO05_MIN”,
“区域聚合占用数据_15m.PSO05_MAX”,
“区域_聚合_占用_数据_15m.PSO05_AVG”
],
“方面”: [
“area_aggregate_occupancy_data_15m.CompanyId”,
"area_aggregate_occupancy_data_15m.CompanyName",
“area_aggregate_occupancy_data_15m.BranchId”,
"area_aggregate_occupancy_data_15m.BranchName",
“area_aggregate_occupancy_data_15m.AreaId”,
“area_aggregate_occupancy_data_15m.AreaName”
],
“过滤器”:[
{
"member": "area_aggregate_occupancy_data_15m.AreaId",
“运算符”:“等于”,
“价值观”:[
“333333”
]
}
],
“时间维度”:[
{
"dimension": "area_aggregate_occupancy_data_15m.Time",
“日期范围”: [
"2024-01-01T00:00:00.000",
“ 2024-01-02”
],
“粒度”:“分钟”
}
],
“命令”: [
[
"area_aggregate_occupancy_data_15m.时间",
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
"site_area_occupancy_data.CompanyId": "12345",
"site_area_occupancy_data.CompanyName": "DemoCompany",
"site_area_occupancy_data.BranchId": "22222",
"site_area_occupancy_data.BranchName": "DemoBranch",
"site_area_occupancy_data.AreaId": "33333",
"site_area_occupancy_data.AreaName": "演示区",
"site_area_occupancy_data.Time.minute": "2022-01-01T00:00:00.000",
"site_area_occupancy_data.Time": "2022-01-01T00:00:00.000",
“site_area_occupancy_data.PSO05_MIN”:1,
“site_area_occupancy_data.PSO05_MAX”:1,
“site_area_occupancy_data.PSO05_AVG”:1
},
{
"site_area_occupancy_data.CompanyId": "12345",
"site_area_occupancy_data.CompanyName": "DemoCompany",
"site_area_occupancy_data.BranchId": "22222",
"site_area_occupancy_data.BranchName": "DemoBranch",
"site_area_occupancy_data.AreaId": "33333",
"site_area_occupancy_data.AreaName": "演示区",
"site_area_occupancy_data.Time.minute": "2022-01-01T00:15:00.000",
"site_area_occupancy_data.Time": "2022-01-01T00:15:00.000",
“site_area_occupancy_data.PSO05_MIN”:0,
“site_area_occupancy_data.PSO05_MAX”:1,
“site_area_occupancy_data.PSO05_AVG”:0.6666666666666666
},
{
"site_area_occupancy_data.CompanyId": "12345",
"site_area_occupancy_data.CompanyName": "DemoCompany",
"site_area_occupancy_data.BranchId": "22222",
"site_area_occupancy_data.BranchName": "DemoBranch",
"site_area_occupancy_data.AreaId": "33333",
"site_area_occupancy_data.AreaName": "演示区",
"site_area_occupancy_data.Time.minute": "2022-01-01T00:15:00.000",
"site_area_occupancy_data.Time": "2022-01-01T00:15:00.000",
“site_area_occupancy_data.PSO05_MIN”:0,
“site_area_occupancy_data.PSO05_MAX”:2,
“site_area_occupancy_data.PSO05_AVG”:1.2
}
],
...
}
|
site_area_1h_queue_counting
产品描述 | 存储站点和区域队列计数数据 |
多维数据集名称 |
site_area_1h_queue_counting
|
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“小时”。 时、日、周、月、年 |
措施 |
此多维数据集的可用指标,请参阅 指标定义 获取指标详细信息
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
“site_area_1h_queue_counting.PQM01_MIN”,
“site_area_1h_queue_counting.PQM01_MAX”,
“site_area_1h_queue_counting.PQM01_AVG”,
“site_area_1h_queue_counting.PQM01_SUM”,
“site_area_1h_queue_counting.PQM03_MIN”,
“site_area_1h_queue_counting.PQM03_MAX”,
“site_area_1h_queue_counting.PQM03_AVG”,
“site_area_1h_queue_counting.PQM03_SUM”,
“site_area_1h_queue_counting.PQM04_MIN”,
“site_area_1h_queue_counting.PQM04_MAX”,
“site_area_1h_queue_counting.PQM04_AVG”,
“site_area_1h_queue_counting.PQM04_SUM”
],
“方面”: [
“site_area_1h_queue_counting.CompanyId”,
“site_area_1h_queue_counting.CompanyName”,
“site_area_1h_queue_counting.BranchId”,
"site_area_1h_queue_counting.BranchName",
“site_area_1h_queue_counting.BranchCode”,
“site_area_1h_queue_counting.AreaId”,
"site_area_1h_queue_counting.AreaName",
“site_area_1h_queue_counting.IsOperating”,
“site_area_1h_queue_counting.时间”
],
“过滤器”:[
{
"member": "site_area_1h_queue_counting.CompanyId",
“运算符”:“等于”,
“价值观”:[
“12345”
]
},
{
"member": "site_area_1h_queue_counting.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
},
{
"member": "site_area_1h_queue_counting.AreaId",
“运算符”:“等于”,
“价值观”:[
“33333”
]
}
],
“时间维度”:[
{
"dimension": "site_area_1h_queue_counting.Time",
“日期范围”: [
"2023-01-01T00:00:00.000",
“ 2023-01-02”
],
“粒度”:“分钟”
}
],
“命令”: [
[
“site_area_1h_queue_counting.BranchId”,
“上升”
],
[
"site_area_1h_queue_counting.时间",
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
“site_area_1h_queue_counting.CompanyId”:12345,
"site_area_1h_queue_counting.CompanyName": "演示公司",
“site_area_1h_queue_counting.BranchId”:22222,
"site_area_1h_queue_counting.BranchName": "演示分支",
"site_area_1h_queue_counting.BranchCode": "演示",
“site_area_1h_queue_counting.AreaId”:33333,
"site_area_1h_queue_counting.AreaName": "演示区域",
“site_area_1h_queue_counting.IsOperating”:0,
"site_area_1h_queue_counting.Time": "2023-01-01T00:00:00.000",
“site_area_1h_queue_counting.PQM01_MIN”:6,
“site_area_1h_queue_counting.PQM01_MAX”:23,
“site_area_1h_queue_counting.PQM01_AVG”:19.3312,
“site_area_1h_queue_counting.PQM01_SUM”:23,
“site_area_1h_queue_counting.PQM03_MIN”:2,
“site_area_1h_queue_counting.PQM03_MAX”:23,
“site_area_1h_queue_counting.PQM03_AVG”:11.3434,
“site_area_1h_queue_counting.PQM03_SUM”:29,
“site_area_1h_queue_counting.PQM04_MIN”:2,
“site_area_1h_queue_counting.PQM04_MAX”:12,
“site_area_1h_queue_counting.PQM04_AVG”:11.2222,
“site_area_1h_queue_counting.PQM04_SUM”:12333
},
{
“site_area_1h_queue_counting.CompanyId”:12345,
"site_area_1h_queue_counting.CompanyName": "演示公司",
“site_area_1h_queue_counting.BranchId”:22222,
"site_area_1h_queue_counting.BranchName": "演示分支",
"site_area_1h_queue_counting.BranchCode": "演示",
“site_area_1h_queue_counting.AreaId”:33333,
"site_area_1h_queue_counting.AreaName": "演示区域",
“site_area_1h_queue_counting.IsOperating”:1,
"site_area_1h_queue_counting.Time": "2023-01-01T00:00:00.000",
“site_area_1h_queue_counting.PQM01_MIN”:0,
“site_area_1h_queue_counting.PQM01_MAX”:12,
“site_area_1h_queue_counting.PQM01_AVG”:14.433,
“site_area_1h_queue_counting.PQM01_SUM”:234,
“site_area_1h_queue_counting.PQM03_MIN”:1,
“site_area_1h_queue_counting.PQM03_MAX”:212,
“site_area_1h_queue_counting.PQM03_AVG”:12.3445,
“site_area_1h_queue_counting.PQM03_SUM”:123,
“site_area_1h_queue_counting.PQM04_MIN”:3,
“site_area_1h_queue_counting.PQM04_MAX”:33,
“site_area_1h_queue_counting.PQM04_AVG”:123,
“site_area_1h_queue_counting.PQM04_SUM”:1234
}
],
...
}
|
site_area_1h_demographic_data
产品描述 | 商店地点和区域人口统计数据 |
多维数据集名称 |
site_area_1h_demographic_data
|
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“小时”。 时、日、周、月、年 |
措施 |
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
“site_area_1h_demographic_data.Gender_Male_SUM”,
“site_area_1h_demographic_data.Gender_Female_SUM”,
“site_area_1h_demographic_data.Emotion_Angry_SUM”,
“site_area_1h_demographic_data.Emotion_Contempt_SUM”,
“site_area_1h_demographic_data.Emotion_Disgust_SUM”,
“site_area_1h_demographic_data.Emotion_Fear_SUM”,
“site_area_1h_demographic_data.Emotion_Sad_SUM”,
“site_area_1h_demographic_data.Emotion_Neutral_SUM”,
“site_area_1h_demographic_data.Emotion_Happy_SUM”,
“site_area_1h_demographic_data.Emotion_Surprise_SUM”,
“site_area_1h_demographic_data.Children_Age”,
“site_area_1h_demographic_data.Teenagers_Age”,
“site_area_1h_demographic_data.Young_Adults_Age”,
“site_area_1h_demographic_data.Middle_Aged_Adults_Age”,
“site_area_1h_demographic_data.Elderly_Age”,
“site_area_1h_demographic_data.Kids_And_Adults_Age”
],
“方面”: [
“site_area_1h_demographic_data.CompanyId”,
"site_area_1h_demographic_data.CompanyName",
“site_area_1h_demographic_data.BranchId”,
"site_area_1h_demographic_data.BranchName",
"site_area_1h_demographic_data.BranchCode",
“site_area_1h_demographic_data.AreaId”,
"site_area_1h_demographic_data.AreaName",
“site_area_1h_demographic_data.IsOperating”,
“site_area_1h_demographic_data.时间”
],
“过滤器”:[
{
"member": "site_area_1h_demographic_data.CompanyId",
“运算符”:“等于”,
“价值观”:[
“12345”
]
},
{
"member": "site_area_1h_demographic_data.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
},
{
"member": "site_area_1h_demographic_data.AreaId",
“运算符”:“等于”,
“价值观”:[
“33333”
]
}
],
“时间维度”:[
{
"dimension": "site_area_1h_demographic_data.Time",
“日期范围”: [
"2023-01-01T00:00:00.000",
“ 2023-01-02”
],
“粒度”:“分钟”
}
],
“命令”: [
[
“site_area_1h_demographic_data.BranchId”,
“上升”
],
[
"site_area_1h_demographic_data.Time",
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
“site_area_1h_demographic_data.CompanyId”:12345,
"site_area_1h_demographic_data.CompanyName": "演示公司",
“site_area_1h_demographic_data.BranchId”:22222,
"site_area_1h_demographic_data.BranchName": "演示分支",
“site_area_1h_demographic_data.AreaId”:33333,
"site_area_1h_demographic_data.AreaName": "演示区",
“site_area_1h_demographic_data.IsOperating”:1,
"site_area_1h_demographic_data.Time": "2023-01-01T00:00:00.000",
“site_area_1h_demographic_data.Gender_Male_SUM”:22,
“site_area_1h_demographic_data.Gender_Female_SUM”:13,
“site_area_1h_demographic_data.Emotion_Angry_SUM”:1,
“site_area_1h_demographic_data.Emotion_Contempt_SUM”:0,
“site_area_1h_demographic_data.Emotion_Disgust_SUM”:4,
“site_area_1h_demographic_data.Emotion_Fear_SUM”:2,
“site_area_1h_demographic_data.Emotion_Sad_SUM”:4,
“site_area_1h_demographic_data.Emotion_Neutral_SUM”:3,
“site_area_1h_demographic_data.Emotion_Happy_SUM”:2,
“site_area_1h_demographic_data.Emotion_Surprise_SUM”:5,
“site_area_1h_demographic_data.Children_Age”:4,
“site_area_1h_demographic_data.Teenagers_Age”:392,
“site_area_1h_demographic_data.Young_Adults_Age”:12,
“site_area_1h_demographic_data.Middle_Aged_Adults_Age”:14,
“site_area_1h_demographic_data.Elderly_Age”:2,
“site_area_1h_demographic_data.Kids_And_Adults_Age”:16
},
{
“site_area_1h_demographic_data.CompanyId”:12345,
"site_area_1h_demographic_data.CompanyName": "演示公司",
“site_area_1h_demographic_data.BranchId”:22222,
"site_area_1h_demographic_data.BranchName": "演示分支",
“site_area_1h_demographic_data.AreaId”:33333,
"site_area_1h_demographic_data.AreaName": "演示区",
“site_area_1h_demographic_data.IsOperating”:1,
"site_area_1h_demographic_data.Time": "2023-01-02T00:00:00.000",
“site_area_1h_demographic_data.Gender_Male_SUM”:14,
“site_area_1h_demographic_data.Gender_Female_SUM”:17,
“site_area_1h_demographic_data.Emotion_Angry_SUM”:0,
“site_area_1h_demographic_data.Emotion_Contempt_SUM”:3,
“site_area_1h_demographic_data.Emotion_Disgust_SUM”:2,
“site_area_1h_demographic_data.Emotion_Fear_SUM”:3,
“site_area_1h_demographic_data.Emotion_Sad_SUM”:3,
“site_area_1h_demographic_data.Emotion_Neutral_SUM”:4,
“site_area_1h_demographic_data.Emotion_Happy_SUM”:7,
“site_area_1h_demographic_data.Emotion_Surprise_SUM”:8,
“site_area_1h_demographic_data.Children_Age”:22,
“site_area_1h_demographic_data.Teenagers_Age”:12,
“site_area_1h_demographic_data.Young_Adults_Age”:78,
“site_area_1h_demographic_data.Middle_Aged_Adults_Age”:22,
“site_area_1h_demographic_data.Elderly_Age”:10,
“site_area_1h_demographic_data.Kids_And_Adults_Age”:100
}
],
...
}
|
居住区域
产品描述 | 商店地点和区域实时入住人数 |
多维数据集名称 |
居住区域
|
时间粒度 |
实时数据不需要时间粒度 |
措施 |
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
“区域占用_live.PSO05”
],
“方面”: [
“area_occupancy_live.CompanyId”,
“area_occupancy_live.CompanyName”,
“area_occupancy_live.BranchId”,
"area_occupancy_live.BranchName",
“area_occupancy_live.AreaId”,
"area_occupancy_live.AreaName",
“area_occupancy_live.AreaType”
],
“过滤器”:[
{
"member": "area_occupancy_live.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
},
{
"member": "area_occupancy_live.AreaId",
“运算符”:“等于”,
“价值观”:[
"33333",
“44444”
]
}
],
“命令”: [
[
“area_occupancy_live.BranchId”,
“上升”
],
[
"area_occupancy_live.Time",
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
“area_occupancy_live.CompanyId”:12345,
"area_occupancy_live.CompanyName": "演示公司",
“area_occupancy_live.BranchId”:11111,
"area_occupancy_live.BranchName": "演示分支",
“area_occupancy_live.AreaId”:33333,
"area_occupancy_live.AreaName": "演示区域",
"area_occupancy_live.AreaType": 1,
“区域占用_live.PSO05”:5632
},
{
“area_occupancy_live.CompanyId”:12345,
"area_occupancy_live.CompanyName": "演示公司",
“area_occupancy_live.BranchId”:22222,
"area_occupancy_live.BranchName": "演示分支",
“area_occupancy_live.AreaId”:44444,
"area_occupancy_live.AreaName": "演示区域",
"area_occupancy_live.AreaType": 1,
“区域占用_live.PSO05”:2224
}
],
...
}
|
site_area_1d_kid_counting_data
产品描述 | 存储地点和区域儿童和成人计数数据 |
多维数据集名称 |
site_area_1d_kid_counting_data
|
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“天”。 日、周、月、年 |
措施 |
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
“site_area_1d_kid_counting_data.PFC01_3001”,
“site_area_1d_kid_counting_data.PFC02_3001”,
“site_area_1d_kid_counting_data.PFC01_5001”,
“site_area_1d_kid_counting_data.PFC02_5001”
],
“方面”: [
“site_area_1d_kid_counting_data.CompanyId”,
"site_area_1d_kid_counting_data.CompanyName",
“site_area_1d_kid_counting_data.BranchId”,
"site_area_1d_kid_counting_data.BranchName",
“site_area_1d_kid_counting_data.AreaId”,
"site_area_1d_kid_counting_data.AreaName",
“site_area_1d_kid_counting_data.AreaType”
],
“过滤器”:[
{
"member": "site_area_1d_kid_counting_data.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
},
{
"member": "site_area_1d_kid_counting_data.AreaId",
“运算符”:“等于”,
“价值观”:[
"33333",
“44444”
]
}
],
“命令”: [
[
“site_area_1d_kid_counting_data.BranchId”,
“上升”
],
[
"site_area_1d_kid_counting_data.时间",
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
“site_area_1d_kid_counting_data.CompanyId”:12345,
"site_area_1d_kid_counting_data.CompanyName": "演示公司",
“site_area_1d_kid_counting_data.BranchId”:11111,
"site_area_1d_kid_counting_data.BranchName": "演示分支",
“site_area_1d_kid_counting_data.AreaId”:33333,
"site_area_1d_kid_counting_data.AreaName": "演示区域",
"site_area_1d_kid_counting_data.AreaType": 1,
“site_area_1d_kid_counting_data.PFC01_3001”:5422,
“site_area_1d_kid_counting_data.PFC02_3001”:5420,
“site_area_1d_kid_counting_data.PFC01_5001”:12532,
“site_area_1d_kid_counting_data.PFC02_5001”:12529
},
{
“site_area_1d_kid_counting_data.CompanyId”:12345,
"site_area_1d_kid_counting_data.CompanyName": "演示公司",
“site_area_1d_kid_counting_data.BranchId”:22222,
"site_area_1d_kid_counting_data.BranchName": "演示分支",
“site_area_1d_kid_counting_data.AreaId”:44444,
"site_area_1d_kid_counting_data.AreaName": "演示区域",
"site_area_1d_kid_counting_data.AreaType": 1,
“site_area_1d_kid_counting_data.PFC01_3001”: 5428,
“site_area_1d_kid_counting_data.PFC02_3001”: 5315,
“site_area_1d_kid_counting_data.PFC01_5001”: 35147,
“site_area_1d_kid_counting_data.PFC02_5001”: 32362
}
],
...
}
|
site_area_1h_kid_counting_data
产品描述 | 存储地点和区域儿童和成人计数数据 |
多维数据集名称 |
site_area_1h_kid_counting_data
|
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“小时”。 时、日、周、月、年 |
措施 |
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
“site_area_1h_kid_counting_data.PFC01_3001”,
“site_area_1h_kid_counting_data.PFC02_3001”,
“site_area_1h_kid_counting_data.PFC01_5001”,
“site_area_1h_kid_counting_data.PFC02_5001”
],
“方面”: [
“site_area_1h_kid_counting_data.CompanyId”,
"site_area_1h_kid_counting_data.CompanyName",
“site_area_1h_kid_counting_data.BranchId”,
"site_area_1h_kid_counting_data.BranchName",
“site_area_1h_kid_counting_data.AreaId”,
"site_area_1h_kid_counting_data.AreaName",
“site_area_1h_kid_counting_data.AreaType”
],
“过滤器”:[
{
"member": "site_area_1h_kid_counting_data.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
},
{
"member": "site_area_1h_kid_counting_data.AreaId",
“运算符”:“等于”,
“价值观”:[
"33333",
“44444”
]
}
],
“命令”: [
[
“site_area_1h_kid_counting_data.BranchId”,
“上升”
],
[
"site_area_1h_kid_counting_data.时间",
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
“site_area_1h_kid_counting_data.CompanyId”:12345,
"site_area_1h_kid_counting_data.CompanyName": "演示公司",
“site_area_1h_kid_counting_data.BranchId”:11111,
"site_area_1h_kid_counting_data.BranchName": "演示分支",
“site_area_1h_kid_counting_data.AreaId”:33333,
"site_area_1h_kid_counting_data.AreaName": "演示区域",
"site_area_1h_kid_counting_data.AreaType": 1,
“site_area_1h_kid_counting_data.PFC01_3001”:5422,
“site_area_1h_kid_counting_data.PFC02_3001”:5420,
“site_area_1h_kid_counting_data.PFC01_5001”:12532,
“site_area_1h_kid_counting_data.PFC02_5001”:12529
},
{
“site_area_1h_kid_counting_data.CompanyId”:12345,
"site_area_1h_kid_counting_data.CompanyName": "演示公司",
“site_area_1h_kid_counting_data.BranchId”:22222,
"site_area_1h_kid_counting_data.BranchName": "演示分支",
“site_area_1h_kid_counting_data.AreaId”:44444,
"site_area_1h_kid_counting_data.AreaName": "演示区域",
"site_area_1h_kid_counting_data.AreaType": 1,
“site_area_1h_kid_counting_data.PFC01_3001”: 5428,
“site_area_1h_kid_counting_data.PFC02_3001”: 5315,
“site_area_1h_kid_counting_data.PFC01_5001”: 35147,
“site_area_1h_kid_counting_data.PFC02_5001”: 32362
}
],
...
}
|
site_area_wifi_counting_metric_day_data
产品描述 | 存储站点 wifi 计数数据 |
多维数据集名称 | site_area_wifi_counting_metric_day_data |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“天”。 日、周、月、年 |
措施 |
该多维数据集的可用指标
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“查询类型”:“多”,
“询问”: {
“措施”:[
"site_area_wifi_counting_metric_day_data.PWA01",
"site_area_wifi_counting_metric_day_data.SWA02",
"site_area_wifi_counting_metric_day_data.PWA03",
"site_area_wifi_counting_metric_day_data.SWA04",
“site_area_wifi_counting_metric_day_data.SWA06”
],
“方面”: [
“site_area_wifi_counting_metric_day_data.时间”,
"site_area_wifi_counting_metric_day_data.BranchId",
"site_area_wifi_counting_metric_day_data.BranchName",
"site_area_wifi_counting_metric_day_data.CompanyId",
“site_area_wifi_counting_metric_day_data.CompanyName”
],
“过滤器”:[ {
"member": "site_area_wifi_counting_metric_day_data.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
}
],
“命令”: [
[
"site_area_wifi_counting_metric_day_data.BranchId",
“上升”
],
[
“site_area_wifi_counting_metric_day_data.时间”,
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
"site_area_wifi_counting_metric_day_data.Time": "2022-01-01T00:00:00.000",
“site_area_wifi_counting_metric_day_data.BranchId”:11111,
"site_area_wifi_counting_metric_day_data.BranchName": "DemoBranch",
“site_area_wifi_counting_metric_day_data.CompanyId”:12345,
"site_area_wifi_counting_metric_day_data.CompanyName": "演示公司",
“site_area_wifi_counting_metric_day_data.PWA01”:204,
“site_area_wifi_counting_metric_day_data.SWA02”:1.22,
“site_area_wifi_counting_metric_day_data.PWA03”:23.12,
“site_area_wifi_counting_metric_day_data.SWA04”:0.2367,
“site_area_wifi_counting_metric_day_data.SWA06”:0.7633
},
{
"site_area_wifi_counting_metric_day_data.Time": "2022-01-02T00:00:00.000",
“site_area_wifi_counting_metric_day_data.BranchId”:11111,
"site_area_wifi_counting_metric_day_data.BranchName": "DemoBranch",
“site_area_wifi_counting_metric_day_data.CompanyId”:12345,
"site_area_wifi_counting_metric_day_data.CompanyName": "演示公司",
“site_area_wifi_counting_metric_day_data.PWA01”:137,
“site_area_wifi_counting_metric_day_data.SWA02”:4.16,
“site_area_wifi_counting_metric_day_data.PWA03”:15.18,
“site_area_wifi_counting_metric_day_data.SWA04”:0.1418,
“site_area_wifi_counting_metric_day_data.SWA06”:0.8582
}
],
...
}
|
site_area_wifi_counting_metric_hour_data
产品描述 | 存储站点 wifi 计数数据 |
多维数据集名称 | site_area_wifi_counting_metric_hour_data |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“小时”。 时、日、周、月、年 |
措施 |
该多维数据集的可用指标
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
“site_area_wifi_counting_metric_hour_data.PWA01”,
“site_area_wifi_counting_metric_hour_data.SWA02”
],
“方面”: [
“site_area_wifi_counting_metric_hour_data.时间”,
“site_area_wifi_counting_metric_hour_data.BranchId”,
"site_area_wifi_counting_metric_hour_data.BranchName",
“site_area_wifi_counting_metric_hour_data.CompanyId”,
“site_area_wifi_counting_metric_hour_data.CompanyName”
],
“过滤器”:[ {
"member": "site_area_wifi_counting_metric_hour_data.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
}
],
“命令”: [
[
“site_area_wifi_counting_metric_hour_data.BranchId”,
“上升”
],
[
“site_area_wifi_counting_metric_hour_data.时间”,
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
"site_area_wifi_counting_metric_hour_data.Time": "2022-01-01T00:00:00.000",
“site_area_wifi_counting_metric_hour_data.BranchId”:11111,
"site_area_wifi_counting_metric_hour_data.BranchName": "演示分支",
“site_area_wifi_counting_metric_hour_data.CompanyId”:12345,
"site_area_wifi_counting_metric_hour_data.CompanyName": "演示公司",
“site_area_wifi_counting_metric_hour_data.PWA01”:204,
“site_area_wifi_counting_metric_hour_data.SWA02”:1.22
},
{
"site_area_wifi_counting_metric_hour_data.Time": "2022-01-01T01:00:00.000",
“site_area_wifi_counting_metric_hour_data.BranchId”:11111,
"site_area_wifi_counting_metric_hour_data.BranchName": "演示分支",
“site_area_wifi_counting_metric_hour_data.CompanyId”:12345,
"site_area_wifi_counting_metric_hour_data.CompanyName": "演示公司",
“site_area_wifi_counting_metric_hour_data.PWA01”:137,
“site_area_wifi_counting_metric_hour_data.SWA02”:4.16
}
],
...
}
|
site_1d_footfall_wifi_sales_data
产品描述 | 存储每日客流量数据 |
多维数据集名称 | site_1d_footfall_wifi_sales_data |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“天”。 日、周、月、年 |
措施 |
该多维数据集的可用指标
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
“site_1d_footfall_wifi_sales_data.PFC01_11”,
“site_1d_footfall_wifi_sales_data.PFC27”,
“site_1d_footfall_wifi_sales_data.PWA01”,
“site_1d_footfall_wifi_sales_data.SWA02”,
“site_1d_footfall_wifi_sales_data.SWA04”,
“site_1d_footfall_wifi_sales_data.SWA06”
],
“方面”: [
“site_1d_footfall_wifi_sales_data.时间”,
“site_1d_footfall_wifi_sales_data.BranchId”,
"site_1d_footfall_wifi_sales_data.BranchName",
“site_1d_footfall_wifi_sales_data.CompanyId”,
“site_1d_footfall_wifi_sales_data.CompanyName”
],
“过滤器”:[ {
"member": "site_1d_footfall_wifi_sales_data.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
}
],
“命令”: [
[
“site_1d_footfall_wifi_sales_data.BranchId”,
“上升”
],
[
“site_1d_footfall_wifi_sales_data.时间”,
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
"site_1d_footfall_wifi_sales_data.Time": "2022-01-01T00:00:00.000",
“site_1d_footfall_wifi_sales_data.BranchId”:11111,
"site_1d_footfall_wifi_sales_data.BranchName": "演示分支",
“site_1d_footfall_wifi_sales_data.CompanyId”:12345,
"site_1d_footfall_wifi_sales_data.CompanyName": "演示公司",
“site_1d_footfall_wifi_sales_data.PFC01_11”:2366,
“site_1d_footfall_wifi_sales_data.PFC27”:1195.209,
“site_1d_footfall_wifi_sales_data.PWA01”:649,
“site_1d_footfall_wifi_sales_data.SWA02”:0.7847,
“site_1d_footfall_wifi_sales_data.SWA04”:0.6124,
“site_1d_footfall_wifi_sales_data.SWA06”:0.3876
},
{
"site_1d_footfall_wifi_sales_data.Time": "2022-01-02T00:00:00.000",
“site_1d_footfall_wifi_sales_data.BranchId”:11111,
"site_1d_footfall_wifi_sales_data.BranchName": "演示分支",
“site_1d_footfall_wifi_sales_data.CompanyId”:12345,
"site_1d_footfall_wifi_sales_data.CompanyName": "演示公司",
“site_1d_footfall_wifi_sales_data.PFC01_11”:2171,
“site_1d_footfall_wifi_sales_data.PFC27”:937.0556,
“site_1d_footfall_wifi_sales_data.PWA01”:861,
“site_1d_footfall_wifi_sales_data.SWA02”:0.7160,
“site_1d_footfall_wifi_sales_data.SWA04”:0.6106,
“site_1d_footfall_wifi_sales_data.SWA06”:0.3894
}
],
...
}
|
site_area_1h_customer_journeys
产品描述 | 存储每小时的客户旅程 |
多维数据集名称 | site_area_1h_customer_journeys |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“小时”。 时、日、周、月、年 |
措施 |
该多维数据集的可用指标
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
业务领域 | 根据需要的粒度,可以使用以下分段来查询相应的数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
“site_area_1h_customer_journeys.JourneyCount”
],
“方面”: [
"site_area_1h_customer_journeys.DateTime",
“site_area_1h_customer_journeys.AreaId”,
"site_area_1h_customer_journeys.AreaName",
“site_area_1h_customer_journeys.BranchId”,
"site_area_1h_customer_journeys.BranchName",
“site_area_1h_customer_journeys.CompanyId”,
“site_area_1h_customer_journeys.CompanyName”,
"site_area_1h_customer_journeys.旅程",
“site_area_1h_customer_journeys.JourneyIds”
],
“段”:[
“site_area_1h_customer_journeys.IsAreaLevel”
]
“过滤器”:[ {
"member": "site_area_1h_customer_journeys.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
}
],
“命令”: [
[
“site_area_1h_customer_journeys.BranchId”,
“上升”
],
[
"site_area_1h_customer_journeys.DateTime",
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
"site_area_1h_customer_journeys.DateTime": "2022-01-01T00:00:00.000",
“site_area_1h_customer_journeys.AreaId”:13131,
"site_area_1h_customer_journeys.AreaName": "演示区",
“site_area_1h_customer_journeys.BranchId”:11111,
"site_area_1h_customer_journeys.BranchName": "演示分支",
“site_area_1h_customer_journeys.CompanyId”:12345,
"site_area_1h_customer_journeys.CompanyName": "演示公司",
"site_area_1h_customer_journeys.Journey": "DemoZone2",
"site_area_1h_customer_journeys.JourneyIds": "[2]",
“site_area_1h_customer_journeys.JourneyCount”:46
},
{
"site_area_1h_customer_journeys.DateTime": "2022-01-01T00:00:00.000",
“site_area_1h_customer_journeys.AreaId”:13131,
"site_area_1h_customer_journeys.AreaName": "演示区",
“site_area_1h_customer_journeys.BranchId”:11111,
"site_area_1h_customer_journeys.BranchName": "演示分支",
“site_area_1h_customer_journeys.CompanyId”:12345,
"site_area_1h_customer_journeys.CompanyName": "演示公司",
"site_area_1h_customer_journeys.Journey": "DemoZone1 -> DemoZone2",
"site_area_1h_customer_journeys.JourneyIds": "[1,2]",
“site_area_1h_customer_journeys.JourneyCount”:27
}
],
...
}
|
site_area_1h_counting_data_ext
产品描述 | 存储每小时计数数据和停留时间 |
多维数据集名称 | site_area_1h_counting_data_ext |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“小时”。 时、日、周、月、年 |
措施 |
该多维数据集的可用指标
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
业务领域 |
根据需要的粒度,可以使用以下分段来查询相应的数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
“site_area_1h_counting_data_ext.FC01_11”,
“site_area_1h_counting_data_ext.PFC27”
],
“方面”: [
"site_area_1h_counting_data_ext.时间",
“site_area_1h_counting_data_ext.AreaId”,
"site_area_1h_counting_data_ext.AreaName",
“site_area_1h_counting_data_ext.BranchId”,
"site_area_1h_counting_data_ext.BranchName",
“site_area_1h_counting_data_ext.CompanyId”,
“site_area_1h_counting_data_ext.CompanyName”
],
“过滤器”:[ {
"member": "site_area_1h_counting_data_ext.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
}
],
“命令”: [
[
“site_area_1h_counting_data_ext.BranchId”,
“上升”
],
[
"site_area_1h_counting_data_ext.时间",
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
"site_area_1h_counting_data_ext.Time": "2022-01-01T00:00:00.000",
“site_area_1h_counting_data_ext.AreaId”:13131,
"site_area_1h_counting_data_ext.AreaName": "演示区域",
“site_area_1h_counting_data_ext.BranchId”:11111,
"site_area_1h_counting_data_ext.BranchName": "演示分支",
“site_area_1h_counting_data_ext.CompanyId”:12345,
"site_area_1h_counting_data_ext.CompanyName": "演示公司",
“site_area_1h_counting_data_ext.FC01_11”:204,
“site_area_1h_counting_data_ext.PFC27”:1320.34
},
{
"site_area_1h_counting_data_ext.Time": "2022-01-01T01:00:00.000",
“site_area_1h_counting_data_ext.AreaId”:13131,
"site_area_1h_counting_data_ext.AreaName": "演示区域",
“site_area_1h_counting_data_ext.BranchId”:11111,
"site_area_1h_counting_data_ext.BranchName": "演示分支",
“site_area_1h_counting_data_ext.CompanyId”:12345,
"site_area_1h_counting_data_ext.CompanyName": "演示公司",
“site_area_1h_counting_data_ext.FC01_11”:137,
“site_area_1h_counting_data_ext.PFC27”:1201.31
}
],
...
}
|
area_1h_footfall_wifi_sales_data
产品描述 | 存储每小时区域客流量 WiFi 计数数据 |
多维数据集名称 | area_1h_footfall_wifi_sales_data |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“小时”。 时、日、周、月、年 |
措施 |
该多维数据集的可用指标
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
“area_1h_footfall_wifi_sales_data.PFC01_11”,
“area_1h_footfall_wifi_sales_data.PFC27”,
“area_1h_footfall_wifi_sales_data.PFH05”
],
“方面”: [
“area_1h_footfall_wifi_sales_data.时间”,
“area_1h_footfall_wifi_sales_data.AreaId”,
“area_1h_footfall_wifi_sales_data.AreaName”,
“area_1h_footfall_wifi_sales_data.BranchId”,
"area_1h_footfall_wifi_sales_data.BranchName",
“area_1h_footfall_wifi_sales_data.CompanyId”,
“area_1h_footfall_wifi_sales_data.CompanyName”,
“area_1h_footfall_wifi_sales_data.IsOperating”
],
“过滤器”:[ {
"member": "area_1h_footfall_wifi_sales_data.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
}
],
“命令”: [
[
“area_1h_footfall_wifi_sales_data.BranchId”,
“上升”
],
[
“area_1h_footfall_wifi_sales_data.时间”,
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
"area_1h_footfall_wifi_sales_data.Time": "2022-01-01T00:00:00.000",
“area_1h_footfall_wifi_sales_data.AreaId”:13131,
"area_1h_footfall_wifi_sales_data.AreaName": "演示区域",
“area_1h_footfall_wifi_sales_data.BranchId”:11111,
"area_1h_footfall_wifi_sales_data.BranchName": "DemoBranch",
“area_1h_footfall_wifi_sales_data.CompanyId”:12345,
"area_1h_footfall_wifi_sales_data.CompanyName": "演示公司",
“area_1h_footfall_wifi_sales_data.IsOperating”:1,
“area_1h_footfall_wifi_sales_data.PFC01_11”:204,
“area_1h_footfall_wifi_sales_data.PFC27”:1320.34,
“area_1h_footfall_wifi_sales_data.PFH05”:19.7288
},
{
"area_1h_footfall_wifi_sales_data.Time": "2022-01-01T01:00:00.000",
“area_1h_footfall_wifi_sales_data.AreaId”:13131,
"area_1h_footfall_wifi_sales_data.AreaName": "演示区域",
“area_1h_footfall_wifi_sales_data.BranchId”:11111,
"area_1h_footfall_wifi_sales_data.BranchName": "DemoBranch",
“area_1h_footfall_wifi_sales_data.CompanyId”:12345,
"area_1h_footfall_wifi_sales_data.CompanyName": "演示公司",
“area_1h_footfall_wifi_sales_data.IsOperating”:0,
“area_1h_footfall_wifi_sales_data.PFC01_11”:137,
“area_1h_footfall_wifi_sales_data.PFC27”:1201.31,
“area_1h_footfall_wifi_sales_data.PFH05”:21.4473
}
],
...
}
|
area_1h_footfall_wifi_sales_data_new
产品描述 | 存储每小时区域客流量 WiFi 计数数据 |
多维数据集名称 | area_1h_footfall_wifi_sales_data_new |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“小时”。 时、日、周、月、年 |
措施 |
该多维数据集的可用指标
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
“area_1h_footfall_wifi_sales_data_new.VisitorIn”
],
“方面”: [
“area_1h_footfall_wifi_sales_data_new.__时间”,
“area_1h_footfall_wifi_sales_data_new.AreaId”,
"area_1h_footfall_wifi_sales_data_new.AreaName",
“area_1h_footfall_wifi_sales_data_new.BranchId”,
"area_1h_footfall_wifi_sales_data_new.BranchName",
“area_1h_footfall_wifi_sales_data_new.CompanyId”,
“area_1h_footfall_wifi_sales_data_new.CompanyName”,
“area_1h_footfall_wifi_sales_data_new.Dwelltime”,
“area_1h_footfall_wifi_sales_data_new.IsOperating”
],
“过滤器”:[ {
"member": "area_1h_footfall_wifi_sales_data_new.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
}
],
“命令”: [
[
“area_1h_footfall_wifi_sales_data_new.BranchId”,
“上升”
],
[
“area_1h_footfall_wifi_sales_data_new.__时间”,
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
"area_1h_footfall_wifi_sales_data_new.__time": "2022-01-01T00:00:00.000",
“area_1h_footfall_wifi_sales_data_new.AreaId”:13131,
"area_1h_footfall_wifi_sales_data_new.AreaName": "演示区",
“area_1h_footfall_wifi_sales_data_new.BranchId”:11111,
"area_1h_footfall_wifi_sales_data_new.BranchName": "演示分支",
“area_1h_footfall_wifi_sales_data_new.CompanyId”:12345,
"area_1h_footfall_wifi_sales_data_new.CompanyName": "演示公司",
“area_1h_footfall_wifi_sales_data_new.VisitorIn”:204,
“area_1h_footfall_wifi_sales_data_new.Dwelltime”:1320.34,
“area_1h_footfall_wifi_sales_data_new.IsOperating”:1
},
{
"area_1h_footfall_wifi_sales_data_new.__time": "2022-01-01T01:00:00.000",
“area_1h_footfall_wifi_sales_data_new.AreaId”:13131,
"area_1h_footfall_wifi_sales_data_new.AreaName": "演示区",
“area_1h_footfall_wifi_sales_data_new.BranchId”:11111,
"area_1h_footfall_wifi_sales_data_new.BranchName": "演示分支",
“area_1h_footfall_wifi_sales_data_new.CompanyId”:12345,
"area_1h_footfall_wifi_sales_data_new.CompanyName": "演示公司",
“area_1h_footfall_wifi_sales_data_new.VisitorIn”:137,
“area_1h_footfall_wifi_sales_data_new.Dwelltime”:1201.31,
“area_1h_footfall_wifi_sales_data_new.IsOperating”:0
}
],
...
}
|
客户旅程
产品描述 | 存储客户旅程 |
多维数据集名称 | 客户旅程 |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“秒”。 秒、分、时、日、周、月、年 |
措施 |
该多维数据集的可用指标
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
“客户旅程.计数”
],
“方面”: [
“customer_journeys.DateTime”,
“customer_journeys.BranchId”,
“customer_journeys.CompanyId”,
“customer_journeys.IsOperating”,
"customer_journeys.Journey",
“customer_journeys.JourneyIds”
],
“过滤器”:[ {
"member": "customer_journeys.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
}
],
“命令”: [
[
“customer_journeys.BranchId”,
“上升”
],
[
“customer_journeys.DateTime”,
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
"customer_journeys.Time": "2022-01-01T00:00:00.000",
“customer_journeys.BranchId”:11111,
“customer_journeys.CompanyId”:12345,
“customer_journeys.IsOperating”:1,
"customer_journeys.Journey": "收银员",
"customer_journeys.JourneyIds": "[1]",
“customer_journeys.Count”:1
},
{
"customer_journeys.Time": "2022-01-01T01:00:00.000",
“customer_journeys.BranchId”:11111,
“customer_journeys.CompanyId”:12345,
“customer_journeys.IsOperating”:0,
"customer_journeys.Journey": "冰箱 A -> 收银台",
"customer_journeys.JourneyIds": "[2]",
“customer_journeys.Count”:2
}
],
...
}
|
site_1h_footfall_wifi_sales_data
产品描述 | 存储每小时的客流量数据 |
多维数据集名称 | site_1h_footfall_wifi_sales_data |
时间粒度 |
以下是此多维数据集的可用时间粒度,最小时间粒度为“小时”。 时、日、周、月、年 |
措施 |
该多维数据集的可用指标
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“措施”:[
“site_1h_footfall_wifi_sales_data.PFC01_11”,
“site_1h_footfall_wifi_sales_data.PFC27”,
“site_1h_footfall_wifi_sales_data.PWA01”,
“site_1h_footfall_wifi_sales_data.SWA02”
],
“方面”: [
“site_1h_footfall_wifi_sales_data.时间”,
“site_1h_footfall_wifi_sales_data.BranchId”,
"site_1h_footfall_wifi_sales_data.BranchName",
“site_1h_footfall_wifi_sales_data.CompanyId”,
“site_1h_footfall_wifi_sales_data.CompanyName”
],
“过滤器”:[ {
"member": "site_1h_footfall_wifi_sales_data.BranchId",
“运算符”:“等于”,
“价值观”:[
"11111",
“22222”
]
}
],
“命令”: [
[
“site_1h_footfall_wifi_sales_data.BranchId”,
“上升”
],
[
“site_1h_footfall_wifi_sales_data.时间”,
“上升”
]
],
“限制”:10
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
"site_1h_footfall_wifi_sales_data.Time": "2022-01-01T00:00:00.000",
“site_1h_footfall_wifi_sales_data.BranchId”:11111,
"site_1h_footfall_wifi_sales_data.BranchName": "演示分支",
“site_1h_footfall_wifi_sales_data.CompanyId”:12345,
"site_1h_footfall_wifi_sales_data.CompanyName": "演示公司",
“site_1h_footfall_wifi_sales_data.PFC01_11”:204,
“site_1h_footfall_wifi_sales_data.PFC27”:1320.34,
“site_1h_footfall_wifi_sales_data.PWA01”:649,
“site_1h_footfall_wifi_sales_data.SWA02”:0.7847
},
{
"site_1h_footfall_wifi_sales_data.Time": "2022-01-01T01:00:00.000",
“site_1h_footfall_wifi_sales_data.BranchId”:11111,
"site_1h_footfall_wifi_sales_data.BranchName": "演示分支",
“site_1h_footfall_wifi_sales_data.CompanyId”:12345,
"site_1h_footfall_wifi_sales_data.CompanyName": "演示公司",
“site_1h_footfall_wifi_sales_data.PFC01_11”:2171,
“site_1h_footfall_wifi_sales_data.PFC27”:937.0556,
“site_1h_footfall_wifi_sales_data.PWA01”:861,
“site_1h_footfall_wifi_sales_data.SWA02”:0.7160
}
],
...
}
|
site_1h_counting_prediction
产品描述 |
输入日期前后 14 天的每小时历史客流量和预测客流量。对于过去的日期,返回历史客流量和预测客流量以比较准确性。对于未来日期,仅返回预测客流量,历史客流量未知。 56 天的每小时历史数据(至少 14 天)用于预测接下来 14 天的每小时客流量。 |
多维数据集名称 | site_1h_counting_prediction |
时间粒度 | 小时 |
措施 |
该多维数据集的可用指标:
|
尺寸 |
以下字段可用于应用过滤和排序数据。
|
正文 - JSON 示例 |
{
“询问”: {
“方面”: [
“site_1h_counting_prediction.CompanyId”,
“site_1h_counting_prediction.BranchId”,
"site_1h_counting_prediction.BranchName",
“site_1h_counting_prediction.DayOfWeek”,
"site_1h_counting_prediction.时间",
“site_1h_counting_prediction.StartDateTime”,
"site_1h_counting_prediction.CurrentLocalTime",
“site_1h_counting_prediction.IsOperating”,
“site_1h_counting_prediction.PFC01”,
“site_1h_counting_prediction.PFC01_Prediction”
],
“过滤器”:[
{
"member": "site_1h_counting_prediction.BranchId",
“运算符”:“等于”,
“价值观”:[
“11111”
]
},
{
"member": "site_1h_counting_prediction.StartDateTime",
“运算符”:“等于”,
“价值观”:[
“ 2024-03-11”
]
},
{
"member": "site_1h_counting_prediction.IsOperating",
“运算符”:“等于”,
“价值观”:[
“1”
]
}
],
“命令”: [
[
"site_1h_counting_prediction.时间",
“上升”
]
],
“限制”:50000,
“更新查询”:“TRUE”
}
}
|
响应 - JSON 示例 |
{
...
“数据”: [
{
“site_1h_counting_prediction.CompanyId”:12345,
“site_1h_counting_prediction.BranchId”:11111,
"site_1h_counting_prediction.BranchName": "演示分支",
"site_1h_counting_prediction.DayOfWeek": 1,
"site_1h_counting_prediction.Time": "2024-02-26T09:00:00.000",
"site_1h_counting_prediction.StartDateTime": "2024-03-11T00:00:00.000",
"site_1h_counting_prediction.CurrentLocalTime": "2024-03-11T16:05:58.000",
"site_1h_counting_prediction.IsOperating": "1",
“site_1h_counting_prediction.PFC01”:7,
“site_1h_counting_prediction.PFC01_Prediction”:24
},
...
{
“site_1h_counting_prediction.CompanyId”:12345,
“site_1h_counting_prediction.BranchId”:11111,
"site_1h_counting_prediction.BranchName": "演示分支",
"site_1h_counting_prediction.DayOfWeek": 1,
"site_1h_counting_prediction.Time": "2024-03-11T09:00:00.000",
"site_1h_counting_prediction.StartDateTime": "2024-03-11T00:00:00.000",
"site_1h_counting_prediction.CurrentLocalTime": "2024-03-11T16:05:58.000",
"site_1h_counting_prediction.IsOperating": "1",
“site_1h_counting_prediction.PFC01”:22,
“site_1h_counting_prediction.PFC01_Prediction”:15
},
...
{
“site_1h_counting_prediction.CompanyId”:12345,
“site_1h_counting_prediction.BranchId”:11111,
"site_1h_counting_prediction.BranchName": "演示分支",
"site_1h_counting_prediction.DayOfWeek": 7,
"site_1h_counting_prediction.Time": "2024-03-24T18:00:00.000",
"site_1h_counting_prediction.StartDateTime": "2024-03-11T00:00:00.000",
"site_1h_counting_prediction.CurrentLocalTime": "2024-03-11T16:05:58.000",
"site_1h_counting_prediction.IsOperating": "1",
“site_1h_counting_prediction.PFC01”:空,
“site_1h_counting_prediction.PFC01_Prediction”:288
}
],
...
}
|