相對於對象數組中的另一個屬性的唯一屬性發生次數

在下面的數據集中，我要計算關於每個bKey的aKey數。這樣每個bKey有多少個唯一的aKey。就像是如果某個aKey已經發生，那麼對於那個bKey就不應該被計數。相對於對象數組中的另一個屬性的唯一屬性發生次數

var fData2 = [ 
    {sex: 'male', bKey: '121', userKey: '04', aKey: '6e5fdb09-319f-4640-b241-2b12d350c027', date: 'Fri Jul 01 06:26:59 UTC 2016', freq: 20, preferenceList: ['Fashion','Business','Sports'], ageGroup: 'LESS_THAN_15'}, 
    {sex: 'male', bKey: '122', userKey: '01', aKey: '6e5fdb09-319f-4640-b241-2b12d350c027', date: 'Fri Jul 01 11:59:28 UTC 2016', freq: 22, preferenceList: ['Business'], ageGroup: 'BETWEEN_25_35'}, 
    {sex: 'female', bKey: '123', userKey: '01', aKey: '6e5fdb09-319f-4640-b241-2b12d350c027', date: 'Thu Jun 30 11:59:28 UTC 2016', freq: 26, preferenceList: ['Housing'], ageGroup: 'BETWEEN_35_45'}, 
    {sex: 'male', bKey: '121', userKey: '03', aKey: '4a73c208-43a8-49d2-87ba-f44691786c96', date: 'Fri Jul 01 06:26:59 UTC 2016', freq: 38, preferenceList: ['Business','Housing','Sports'], ageGroup: 'BETWEEN_25_35'}, 
    {sex: 'female', bKey: '124', userKey: '03', aKey: '4a73c208-43a8-49d2-87ba-f44691786c96', date: 'Fri Jul 01 11:59:28 UTC 2016', freq: 20, preferenceList: ['Business','Housing','Sports'], ageGroup: 'BETWEEN_45_55'}, 
    {sex: 'male', bKey: '125', userKey: '01', aKey: '4a73c208-43a8-49d2-87ba-f44691786c96', date: 'Fri Jul 01 11:59:28 UTC 2016', freq: 42, preferenceList: ['Jewels','Kids'], ageGroup: 'LESS_THAN_15'}, 
    {sex: 'female', bKey: '123', userKey: '02', aKey: '4a73c208-43a8-49d2-87ba-f44691786c96', date: 'Fri Jul 01 06:26:59 UTC 2016', freq: 34, preferenceList: ['Movies'], ageGroup: 'BETWEEN_55_65'}, 
    {sex: 'female', bKey: '121', userKey: '03', aKey: '4a73c208-43a8-49d2-87ba-f44691786c96', date: 'Fri Jul 01 06:26:59 UTC 2016', freq: 22, preferenceList: ['Culture'], ageGroup: 'BETWEEN_25_35'}, 
    {sex: 'female', bKey: '124', userKey: '01', aKey: '4a73c208-43a8-49d2-87ba-f44691786c96', date: 'Fri Jul 01 11:59:28 UTC 2016', freq: 115, preferenceList: ['Kids'], ageGroup: 'BETWEEN_35_45'}, 
    {sex: 'male', bKey: '122', userKey: '02', aKey: '09a703f3-2273-4b25-ba33-24572ffcdf89', date: 'Thu Jun 30 11:59:28 UTC 2016', freq: 19, preferenceList: [], ageGroup: 'BETWEEN_45_55'}, 
    {sex: 'female', bKey: '121',userKey: '01', aKey: '09a703f3-2273-4b25-ba33-24572ffcdf89', date: 'Thu Jun 30 06:26:59 UTC 2016', freq: 24, preferenceList: [], ageGroup: 'BETWEEN_35_45'} 
];

我想要的結果是在對象的新的磁盤陣列作爲

[ {121: 3},{122: 2},{123: 2},{124: 2},{125: 1} ]

我想這一點 -

var dataSet = {}; 
fData2.forEach(function (item) { 
    dataSet[ item.bKey ] = (dataSet[ item.aKey ] || 0) + 1; 
}); 

console.log(dataSet);

來源

2016-07-04 Raichu

ohh是的，抱歉是錯誤的。你說得對，就是item.bKey。 'var dataSet = {}; （item）{ dataSet [item.bKey] =（dataSet [item.userKey] || 0）+ 1; }）; console.log（dataSet）;' – Raichu

也請把aKey當作userKey。我無法編輯問題。 – Raichu

你確定結果不是'3 2 2 1 1'嗎？ –

你可以用forEach循環做到這一點，對象爲可選參數

var data = [{"sex":"male","bKey":"121","userKey":"04","aKey":"6e5fdb09-319f-4640-b241-2b12d350c027","date":"Fri Jul 01 06:26:59 UTC 2016","freq":20,"preferenceList":["Fashion","Business","Sports"],"ageGroup":"LESS_THAN_15"},{"sex":"male","bKey":"122","userKey":"01","aKey":"6e5fdb09-319f-4640-b241-2b12d350c027","date":"Fri Jul 01 11:59:28 UTC 2016","freq":22,"preferenceList":["Business"],"ageGroup":"BETWEEN_25_35"},{"sex":"female","bKey":"123","userKey":"01","aKey":"6e5fdb09-319f-4640-b241-2b12d350c027","date":"Thu Jun 30 11:59:28 UTC 2016","freq":26,"preferenceList":["Housing"],"ageGroup":"BETWEEN_35_45"},{"sex":"male","bKey":"121","userKey":"03","aKey":"4a73c208-43a8-49d2-87ba-f44691786c96","date":"Fri Jul 01 06:26:59 UTC 2016","freq":38,"preferenceList":["Business","Housing","Sports"],"ageGroup":"BETWEEN_25_35"},{"sex":"female","bKey":"124","userKey":"03","aKey":"4a73c208-43a8-49d2-87ba-f44691786c96","date":"Fri Jul 01 11:59:28 UTC 2016","freq":20,"preferenceList":["Business","Housing","Sports"],"ageGroup":"BETWEEN_45_55"},{"sex":"male","bKey":"125","userKey":"01","aKey":"4a73c208-43a8-49d2-87ba-f44691786c96","date":"Fri Jul 01 11:59:28 UTC 2016","freq":42,"preferenceList":["Jewels","Kids"],"ageGroup":"LESS_THAN_15"},{"sex":"female","bKey":"123","userKey":"02","aKey":"4a73c208-43a8-49d2-87ba-f44691786c96","date":"Fri Jul 01 06:26:59 UTC 2016","freq":34,"preferenceList":["Movies"],"ageGroup":"BETWEEN_55_65"},{"sex":"female","bKey":"121","userKey":"03","aKey":"4a73c208-43a8-49d2-87ba-f44691786c96","date":"Fri Jul 01 06:26:59 UTC 2016","freq":22,"preferenceList":["Culture"],"ageGroup":"BETWEEN_25_35"},{"sex":"female","bKey":"124","userKey":"01","aKey":"4a73c208-43a8-49d2-87ba-f44691786c96","date":"Fri Jul 01 11:59:28 UTC 2016","freq":115,"preferenceList":["Kids"],"ageGroup":"BETWEEN_35_45"},{"sex":"male","bKey":"122","userKey":"02","aKey":"09a703f3-2273-4b25-ba33-24572ffcdf89","date":"Thu Jun 30 11:59:28 UTC 2016","freq":19,"preferenceList":[],"ageGroup":"BETWEEN_45_55"},{"sex":"female","bKey":"121","userKey":"01","aKey":"09a703f3-2273-4b25-ba33-24572ffcdf89","date":"Thu Jun 30 06:26:59 UTC 2016","freq":24,"preferenceList":[],"ageGroup":"BETWEEN_35_45"}] 
 
var result = {} 
 

 
data.forEach(function(e) { 
 
    if(!this[e.bKey + e.aKey]) { 
 
    this[e.bKey + e.aKey] = true; 
 
    result[e.bKey] = (result[e.bKey] || 0) +1 ; 
 
    } 
 
}, {}) 
 

 
console.log(result)

來源

2016-07-04 13:39:21

謝謝Nenad，這非常有幫助。我只想要這個。 – Raichu

不客氣。 –

相對於對象數組中的另一個屬性的唯一屬性發生次數

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