Generate min, max, average of array of nested values

Question

I would like to generate the min/max/average of "nested" values that already have min/max/average precalculated. So basically average of average, min of min, max of max, hope I'm clear enough

I have a huge list of data that contains the min/max/average of each user score:

[
    {
        "name": "Joe",
        "data": [
            [
                22323,
                180.269944190979,
                {
                    "min": 148608,
                    "max": 486656,
                    "avg": 123
                }
            ],
            [
                12312,
                180.269944190979,
                {
                    "min": 148608,
                    "max": 486656,
                    "avg": 2
                }
            ],
            [
                232,
                180.269944190979,
                {
                    "min": 148608,
                    "max": 486656,
                    "avg": 2323
                }
            ]
        ]
    },
    {
        "name": "Miranda",
        "data": [
            [
                1641466800000,
                180.269944190979,
                {
                    "min": 148608,
                    "max": 486656,
                    "avg": 123
                }
            ],
            [
                12312,
                180.269944190979,
                {
                    "min": 148608,
                    "max": 486656,
                    "avg": 2
                }
            ],
            [
                232,
                180.269944190979,
                {
                    "min": 148608,
                    "max": 486656,
                    "avg": 2323
                }
            ]
        ]
    },
    {
        "name": "Eli",
        "data": [
            [
                1641468540000,
                5630.96112537384,
                {
                    "min": 0,
                    "max": 384048,
                    "avg": 237031.22959263306
                }
            ],
            [
                1641468420000,
                5688.5411739349365,
                {
                    "min": 157216,
                    "max": 384048,
                    "avg": 248715.63971152372
                }
            ],
            [
                1641468300000,
                5832.6060581207275,
                {
                    "min": 0,
                    "max": 372560,
                    "avg": 226729.37108433736
                }
            ],
            [
                1641468360000,
                5836.711280345917,
                {
                    "min": 0,
                    "max": 384048,
                    "avg": 274216.2701236057
                }
            ]
        ]
    }
]

I'm not sure how could I generate the average/min/max of all of these inside each object, for example this:

[
    {
        "name": "Joe",
        "details": {
            "min": 0,
            "max": 12332,
            "avg": 9594.43435
        }
    },
    {
        "name": "Miranda",
        "details": {
            "min": 0,
            "max": 65443,
            "avg": 1231233.2442
        }
    },
    {
        "name": "Eli",
        "details": {
            "min": 0,
            "max": 312321,
            "avg": 544545.3345
        }
    }
]

I've tried with reduce but I can't get it to "remember" the previous value

I'm not very good at lodash:

data.reduce((acc, val: any) => {
              acc.min = acc.min + val[2].min;
              return acc;
            }, { min: 0, max: 0, avg: 0 })

Answer 1

You need a combination of map and reduce to produce the output you're after:

 const input=[{name:"Joe",data:[[22323,180.269944190979,{min:148608,max:486656,avg:123}],[12312,180.269944190979,{min:148608,max:486656,avg:2}],[232,180.269944190979,{min:148608,max:486656,avg:2323}]]},{name:"Miranda",data:[[16414668e5,180.269944190979,{min:148608,max:486656,avg:123}],[12312,180.269944190979,{min:148608,max:486656,avg:2}],[232,180.269944190979,{min:148608,max:486656,avg:2323}]]},{name:"Eli",data:[[164146854e4,5630.96112537384,{min:0,max:384048,avg:237031.22959263306}],[164146842e4,5688.5411739349365,{min:157216,max:384048,avg:248715.63971152372}],[16414683e5,5832.6060581207275,{min:0,max:372560,avg:226729.37108433736}],[164146836e4,5836.711280345917,{min:0,max:384048,avg:274216.2701236057}]]}]; const result = input.map(item => { const details = item.data.reduce( (acc,i) => { const val = i[2]; acc.min = Math.min(val.min, acc.min); acc.max = Math.max(val.max, acc.max); acc.sum += val.avg return acc; },{min:Number.POSITIVE_INFINITY, max: Number.NEGATIVE_INFINITY, sum:0}) return { name: item.name, details:{ min: details.min, max: details.max, avg: details.sum/item.data.length } } }); console.log(result);