年齢グループのJavaScriptグループ化配列

Question

各年齢グループのようなものを実装しようとしていますが、最も大きな日付を見つけて今日の日付と比較し、日付の違いを取得して別の別の配列。ここではいくつかのサンプル入力は次のとおりです。

//removed 

私は昇順に配列をソート：応じてどのように実際にグループアカウント、私はわからない

var ageGroup = ['>=80', '70-79', '60-69', '50-59', '40-49', '30-39', '20-29', '10-19', '0-9']; 

：

frequentarr.sort(function(a, b) { 
    da = new Date(a.date); 
    db = new Date(b.date); 
    if (da == db) { 
     return 0; 
    } 
    return da > db ? 1 : -1; 
}); 
console.log(frequentarr); 

私の年齢層の配列各年齢グループごとに、最も大きな日付を見つけます。その後、今日の日付と比較して、日付の違いを見つけてください。

アイデア？ありがとう！

Answer 1

を使用して、年齢グループ内の最新の日付を取得することができますので、私は、地図を使用しています日付が格納されているより大きい場合そうでない場合は、実際の日付を取る。

var array = [{ age: 67, date: "2017/01/09" }, { age: 11, date: "2017/01/14" }, { age: 11, date: "2017/01/14" }, { age: 62, date: "2017/01/15" }, { age: 40, date: "2017/01/21" }, { age: 21, date: "2017/02/08" }, { age: 12, date: "2017/02/18" }, { age: 56, date: "2017/02/29" }, { age: 24, date: "2017/03/03" }, { age: 22, date: "2017/03/17" }, { age: 66, date: "2017/03/25" }, { age: 62, date: "2017/04/03" }, { age: 59, date: "2017/05/18" }, { age: 39, date: "2017/06/14" }, { age: 19, date: "2017/07/03" }, { age: 31, date: "2017/07/10" }, { age: 24, date: "2017/07/14" }, { age: 36, date: "2017/07/24" }, { age: 36, date: "2017/07/24" }, { age: 73, date: "2017/08/17" }, { age: 63, date: "2017/10/01" }, { age: 16, date: "2017/10/14" }, { age: 70, date: "2017/10/18" }, { age: 29, date: "2017/12/03" }, { age: 15, date: "2017/12/07" }, { age: 47, date: "2017/12/19" }, { age: 11, date: "2017/12/25" }, { age: 26, date: "2017/12/28" }], 
 
    groups = []; 
 

 
array.forEach(function (o) { 
 
    var group = Math.floor(o.age/10); 
 

 
    if (groups[group] >= o.date) { 
 
     return; 
 
    } 
 
    groups[group] = o.date; 
 
}); 
 

 
console.log(groups);

.as-console-wrapper { max-height: 100% !important; top: 0; }

Answer 2

私は最初にfrequentarrayを日付順に並べ替えてから、単純にreduceを使用してグループ化します。あなたは、単にあなたがグループのために10によって年齢や除算を取り、チェックすることができ

m.get(<ageGroup>)[0]; 

let frequentarr = [{accountID: "-Ks8mWcr2x08gEbSCSuJ", age: 67, gender: "female", brand: "Akira", date: "2017/01/09"}, 
 
    {accountID: "-Ks8mWh4j7fv7XaQyygJ", age: 11, gender: "female", brand: "Akira", date: "2017/01/14"}, 
 
    {accountID: "-Ks8mWh4j7fv7XaQyygJ", age: 11, gender: "female", brand: "Akira", date: "2017/01/14"}, 
 
    {accountID: "-Ks8mWayOns5WnK0xu3e", age: 62, gender: "male", brand: "Akira", date: "2017/01/15"}, 
 
    {accountID: "-Ks8mWYnb4fu1AT9vR8X", age: 40, gender: "male", brand: "Akira", date: "2017/01/21"}, 
 
    {accountID: "-Ks8mWf0deAAVlOSb2qS", age: 21, gender: "male", brand: "Akira", date: "2017/02/08"}, 
 
    {accountID: "-Ks8mWbH4YQhXg9DZvjG", age: 12, gender: "male", brand: "Akira", date: "2017/02/18"}, 
 
    {accountID: "-Ks8mWZpiUOt8aXyEY22", age: 56, gender: "female", brand: "Akira", date: "2017/02/29"}, 
 
    {accountID: "-Ks8mW_HvNJ3RKCz6QZk", age: 24, gender: "male", brand: "Akira", date: "2017/03/03"}, 
 
    {accountID: "-Ks8mWgBmSBh6LrsLMU4", age: 22, gender: "male", brand: "Akira", date: "2017/03/17"}, 
 
    {accountID: "-Ks8mWgceHTuJsBObl_C", age: 66, gender: "female", brand: "Akira", date: "2017/03/25"}, 
 
    {accountID: "-Ks8mWYhd7WuUGJMUTzx", age: 62, gender: "female", brand: "Akira", date: "2017/04/03"}, 
 
    {accountID: "-Ks8mWhQ-TsvAbvS0Sk2", age: 59, gender: "male", brand: "Akira", date: "2017/05/18"}, 
 
    {accountID: "-Ks8mWY4PQ3stDWTlriB", age: 39, gender: "male", brand: "Akira", date: "2017/06/14"}, 
 
    {accountID: "-Ks8mWYMZw8YTs6P-UCk", age: 19, gender: "male", brand: "Akira", date: "2017/07/03"}, 
 
    {accountID: "-Ks8mWcm1zYkSQN2fD9c", age: 31, gender: "male", brand: "Akira", date: "2017/07/10"}, 
 
    {accountID: "-Ks8mWalbiAq35e10lZy", age: 24, gender: "male", brand: "Akira", date: "2017/07/14"}, 
 
    {accountID: "-Ks8mWjmbuBtmzzJ2IPu", age: 36, gender: "female", brand: "Akira", date: "2017/07/24"}, 
 
    {accountID: "-Ks8mWjmbuBtmzzJ2IPu", age: 36, gender: "female", brand: "Akira", date: "2017/07/24"}, 
 
    {accountID: "-Ks8mWbNJ53rNuspHlQe", age: 73, gender: "male", brand: "Akira", date: "2017/08/17"}, 
 
    {accountID: "-Ks8mWcvM1-w0GAl-eHs", age: 63, gender: "male", brand: "Akira", date: "2017/10/01"}, 
 
    {accountID: "-Ks8mWhvTEp83PziAxpp", age: 16, gender: "male", brand: "Akira", date: "2017/10/14"}, 
 
    {accountID: "-Ks8mWdGfSrC-5n8ywNs", age: 70, gender: "female", brand: "Akira", date: "2017/10/18"}, 
 
    {accountID: "-Ks8mWdf0LfFKWH8-YBF", age: 29, gender: "male", brand: "Akira", date: "2017/12/03"}, 
 
    {accountID: "-Ks8mWhtA-3ExwVUWZC_", age: 15, gender: "female", brand: "Akira", date: "2017/12/07"}, 
 
    {accountID: "-Ks8mWX4R6inD83AO4rZ", age: 47, gender: "female", brand: "Akira", date: "2017/12/19"}, 
 
    {accountID: "-Ks8mWh4j7fv7XaQyygJ", age: 11, gender: "female", brand: "Akira", date: "2017/12/25"}, 
 
    {accountID: "-Ks8mWadHFzJ1VGmN60k", age: 26, gender: "male", brand: "Akira", date: "2017/12/28"}]; 
 

 
let ageGroups = ['80-1000', '70-79', '60-69', '50-59', '40-49', '30-39', '20-29', '10-19', '0-9']; 
 

 
function getAgeRange(age) { 
 
    return ageGroups.find(e => { 
 
     let s = e.split('-'); 
 
     return age >= s[0] && age <= s[1]; 
 
    }) 
 
} 
 

 
let m = frequentarr.sort((a,b) => new Date(b.date) - new Date(a.date)).reduce((a,b) => { 
 
    let r = getAgeRange(b.age); 
 
    return a.set(r, a.has(r) ? a.get(r).concat(b) : [b]) 
 
}, new Map); 
 

 
console.log(m);