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我的用户配置文件中有JSON数据，我最终需要使用SPSS进行分析。 目前我在Google Refine中导入数据以运行一些数据清理。然而，我的问题是，原始的JSON由嵌套对象组成，即例如具有“公司”的“professional_experience”部分，其包括若干子对象/数组（参见示例）。 Google提炼通过创建具有该信息的附加行来处理此问题。然而，这与我需要用SPSS或Excel分析数据的“关系”（SQL方面）视图/表格结构没有任何一致性，因为还有其他的子对象（学校，奖项，等等），它们也被“愚蠢地”填充在高级别“主”记录下面的行中，但彼此之间没有直接（行/列方式）关系（考虑分析）。将关系格式的嵌套对象
正如我所看到的，我需要将这些（子对象）列和行提取到自己的表中，并创建一些n：m关系，或者至少将它归一化为一个表（然后接受冗余当然还有其他未知的属性）。
我想要结束的是一个统一分析/聚类在某些属性上的一致表。我认为地图缩小并不是真正的选择。
有没有人对如何处理这个问题有想法，或者有可能是一种更简单的方式直接处理JSON数据？
{ "users": [
{
"id": "123456_abcdef",
"first_name": "Max",
"last_name": "Mustermann",
"display_name": "Max Mustermann",
"page_name": "Max_Mustermann",
"permalink": "https://www.xing.com/profile/Max_Mustermann",
"employment_status": "EMPLOYEE",
"gender": "m",
"birth_date": {
"day": 12,
"month": 8,
"year": 1963
},
"active_email": "ma[email protected]",
"time_zone": {
"name": "Europe/Copenhagen",
"utc_offset": 2.0
},
"premium_services": [
"SEARCH",
"PRIVATEMESSAGES"
],
"badges": [
"PREMIUM",
"MODERATOR"
],
"wants": "einen neuen Job",
"haves": "viele tolle Skills",
"interests": "Flitzebogen schießen and so on",
"organisation_member": "ACM, GI",
"languages": {
"de": "NATIVE",
"en": "FLUENT",
"fr": null,
"zh": "BASIC"
},
"private_address": {
"city": "Hamburg",
"country": "DE",
"zip_code": "20357",
"street": "Privatstraße 1",
"phone": "49|40|1234560",
"fax": "||",
"province": "Hamburg",
"email": "[email protected]",
"mobile_phone": "49|0155|1234567"
},
"business_address": {
"city": "Hamburg",
"country": "DE",
"zip_code": "20357",
"street": "Geschäftsstraße 1a",
"phone": "49|40|1234569",
"fax": "49|40|1234561",
"province": "Hamburg",
"email": "[email protected]",
"mobile_phone": "49|160|66666661"
},
"web_profiles": {
"qype": [
"http://qype.de/users/foo"
],
"google+": [
"http://plus.google.com/foo"
],
"other": [
"http://blog.example.org"
],
"homepage": [
"http://example.org",
"http://other-example.org"
]
},
"instant_messaging_accounts": {
"skype": "1122334455",
"googletalk": "max.mustermann"
},
"professional_experience": {
"primary_company": {
"id": "1_abcdef",
"name": "XING AG",
"title": "Softwareentwickler",
"company_size": "201-500",
"tag": null,
"url": "http://www.xing.com",
"career_level": "PROFESSIONAL_EXPERIENCED",
"begin_date": "2010-01",
"description": null,
"end_date": null,
"industry": "AEROSPACE",
"form_of_employment": "FULL_TIME_EMPLOYEE",
"until_now": true
},
"companies": [
{
"id": "1_abcdef",
"name": "XING AG",
"title": "Softwareentwickler",
"company_size": "201-500",
"tag": null,
"url": "http://www.xing.com",
"career_level": "PROFESSIONAL_EXPERIENCED",
"begin_date": "2010-01",
"description": null,
"end_date": null,
"industry": "AEROSPACE",
"form_of_employment": "FULL_TIME_EMPLOYEE",
"until_now": true
},
{
"id": "24_abcdef",
"name": "Ninja Ltd.",
"title": "DevOps",
"company_size": null,
"tag": "NINJA",
"url": "http://www.ninja-ltd.co.uk",
"career_level": null,
"begin_date": "2009-04",
"description": null,
"end_date": "2010-07",
"industry": "ALTERNATIVE_MEDICINE",
"form_of_employment": "OWNER",
"until_now": false
},
{
"id": "45_abcdef",
"name": null,
"title": "Wiss. Mitarbeiter",
"company_size": null,
"tag": "OFFIS",
"url": "http://www.uni.de",
"career_level": null,
"begin_date": "2007",
"description": null,
"end_date": "2008",
"industry": "APPAREL_AND_FASHION",
"form_of_employment": "PART_TIME_EMPLOYEE",
"until_now": false
},
{
"id": "176_abcdef",
"name": null,
"title": "TEST NINJA",
"company_size": "201-500",
"tag": "TESTCOMPANY",
"url": null,
"career_level": "ENTRY_LEVEL",
"begin_date": "1998-12",
"description": null,
"end_date": "1999-05",
"industry": "ARTS_AND_CRAFTS",
"form_of_employment": "INTERN",
"until_now": false
}
],
"awards": [
{
"name": "Awesome Dude Of The Year",
"date_awarded": 2007,
"url": null
}
]
},
"educational_background": {
"degree": "MSc CE/CS",
"primary_school": {
"id": "42_abcdef",
"name": "Carl-von-Ossietzky Universtät Schellenburg",
"degree": "MSc CE/CS",
"notes": null,
"subject": null,
"begin_date": "1998-08",
"end_date": "2005-02"
},
"schools": [
{
"id": "42_abcdef",
"name": "Carl-von-Ossietzky Universtät Schellenburg",
"degree": "MSc CE/CS",
"notes": null,
"subject": null,
"begin_date": "1998-08",
"end_date": "2005-02"
}
],
"qualifications": [
"TOEFLS",
"PADI AOWD"
]
}
}
] }
非常感谢您的回复！ Pentaho和Talend是非常有用的，但是我无法弄清楚如何在我的问题中使用它们。 我现在正在做的是写一个VBA脚本来“规范化”数据！ 但是，如果有一种工具可以提供从JSON到关系模型的即时可用的转换，我真的很感兴趣。 准确地说：我有那些数组字段，这些数组字段在提炼中作为新行添加，但从语义角度来看，这没有意义，例如，学校和雇主被放在一个“额外的行”，尽管事实上，他们只与用户有关，而不是彼此...... – kreck 2014-11-08 15:17:16
是的，这就是你可以使用Pentaho和Talend。获得一些培训或在他们的论坛上询问。没有免费的披萨。好运。 – 2014-11-09 16:31:06