扒宽屏数据 1-22

This commit is contained in:
GongDragon 2025-01-22 14:25:50 +08:00
parent 805ea59474
commit 77f9e4d546
10 changed files with 84468 additions and 0 deletions

File diff suppressed because it is too large Load Diff

View File

@ -0,0 +1,17 @@
{
"信息传输、软件和信息技术服务业-电信、广播电视和卫星传输服务": 3,
"制造业-农副食品加工业": 1,
"制造业-化学原料和化学制品制造业": 1,
"制造业-医药制造业": 6,
"制造业-汽车制造业": 2,
"制造业-纺织服装、服饰业": 1,
"制造业-计算机、通信和其他电子设备制造业": 2,
"制造业-酒、饮料和精制茶制造业": 1,
"制造业-金属制品业": 1,
"制造业-非金属矿物制品业": 1,
"房地产业-房地产业": 1,
"批发和零售业-批发业": 2,
"采矿业-有色金属矿采选业": 1,
"金融业-货币金融服务": 12,
"金融业-资本市场服务": 3
}

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

View File

@ -0,0 +1,13 @@
{
"data": {
"投资关系": 82.44588614888224,
"操盘模式": 25,
"财务状态": 54.00000000000001,
"健康指数": 48,
"运行状态": 58.56999999999999,
"规模扩张": 20,
"声誉风险": 65,
"外部环境": 5,
"等级": 5
}
}

View File

@ -0,0 +1,7 @@
{
"低风险": 1100,
"中风险": 1184,
"高风险": 1254,
"综合风险水平": 396.2488397196951,
"time": "2023_3"
}

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

View File

@ -0,0 +1,168 @@
{
"date": [
"2015-04-01",
"2015-07-01",
"2015-10-01",
"2016-01-01",
"2016-04-01",
"2016-07-01",
"2016-10-01",
"2017-01-01",
"2017-04-01",
"2017-07-01",
"2017-10-01",
"2018-01-01",
"2018-04-01",
"2018-07-01",
"2018-10-01",
"2019-01-01",
"2019-04-01",
"2019-07-01",
"2019-10-01",
"2020-01-01",
"2020-04-01",
"2020-07-01",
"2020-10-01",
"2021-01-01",
"2021-04-01",
"2021-07-01",
"2021-10-01",
"2022-01-01",
"2022-04-01",
"2022-07-01",
"2022-10-01",
"2023-01-01",
"2023-04-01",
"2023-07-01",
"2023-10-01",
"2024-01-01"
],
"result": [
{
"name": "同配性",
"type": "line",
"data": [
0.4985,
0.2985,
0.2319,
0.4506,
0.5392,
0.6333,
0.7169,
0.7459,
0.042,
0.9029,
0.3071,
0.8063,
0.2468,
0.949,
0.3416,
0.0806,
0.4001,
0,
0.2062,
0.1758,
0.4168,
0.5231,
0.4925,
0.6429,
0.2692,
0.6903,
0.2667,
0.4596,
0.1904,
0.322,
0.2009,
0.396,
0.26,
0.2573,
0.3491,
0.1518
]
},
{
"name": "密度变化",
"type": "line",
"data": [
0.3902,
0.6051,
0.3781,
0.5526,
0.2318,
0.5384,
0.1158,
0,
0.2995,
0.4364,
0.3556,
0.6869,
0.3709,
0.6738,
0.3697,
0.5522,
0.3703,
0.5199,
0.372,
0.5106,
0.3853,
0.3365,
0.3768,
0.3294,
0.3586,
0.3214,
0.3672,
0.4708,
0.375,
0.593,
0.3759,
0.5206,
0.3823,
0.4553,
0.3963,
0.3862
]
},
{
"name": "聚类系数",
"type": "line",
"data": [
0.372,
0.4272,
0.422,
0.4679,
0.1678,
0.4082,
0.2555,
0.4204,
0.9374,
1,
0.5736,
0.36,
0.2301,
0.2503,
0.1429,
0.3658,
0.1854,
0.4307,
0.4965,
0.3533,
0.4599,
0.4534,
0.4034,
0.4552,
0.0888,
0.3441,
0.2778,
0.3663,
0.406,
0.4589,
0.3206,
0.5127,
0.3964,
0.6401,
0.3115,
0.6732
]
}
]
}