Create new vertical json to horizontal in jquery - javascript

I have a JSON like below
var data = [
{ "year": 2013, "month": 10, "week": 41, "changes": 1590 },
{ "year": 2013, "month": 10, "week": 42, "changes": 0 },
{ "year": 2013, "month": 10, "week": 43, "changes": 2008 },
{ "year": 2013, "month": 10, "week": 44, "changes": 3900 },
{ "year": 2014, "month": 10, "week": 41, "changes": 1052 },
{ "year": 2014, "month": 10, "week": 42, "changes": 0 },
{ "year": 2014, "month": 10, "week": 43, "changes": 10122 },
{ "year": 2014, "month": 10, "week": 44, "changes": 1461 },
{ "year": 2015, "month": 10, "week": 41, "changes": 682 },
{ "year": 2015, "month": 10, "week": 42, "changes": 0 },
{ "year": 2015, "month": 10, "week": 43, "changes": 244 },
{ "year": 2015, "month": 10, "week": 44, "changes": 21 }
];
and i want to generate this JSON some thing like that
var firstYear = "2013";
var secondYear = "2014";
var thildYear = "2015";
var sampleData = [
{ "week": 41, "firstYear": 1590, "secondYear": 1052, "thildYear": 682 },
{ "week": 42, "firstYear": 0, "secondYear": 0, "thildYear": 0 },
{ "week": 43, "firstYear": 2008, "secondYear": 10122, "thildYear": 244 },
{ "week": 44, "firstYear": 858, "secondYear": 1461, "thildYear": 21 }
];
i write a code but it does't work
var jsonObjdata = [];
var yearExist = "";
var weekExist = "";
var SampleRequestBody = {};
$.each(data, function (key, value) {
if (value.year != yearExist) {
SampleRequestBody.week = value.week;
SampleRequestBody.firstYear = value.changes;
yearExist = value.year;
}
else if (value.year == yearExist && value.week == weekExist + 1) {
SampleRequestBody.secondYear = value.changes;
}
else if (value.year == yearExist && value.week == weekExist + 1) {
SampleRequestBody.thildYear = value.changes;
jsonObjdata.push(SampleRequestBody);
}
});
Can you please help me ?


Here is another take at it using array.prototype.reduce:
var weeks = [], flatData;
flatData = data.reduce(function(outData, obj) {
var tmp = {}, prop = 'year' + obj.year;
if ((idx = weeks.indexOf(obj.week)) >= 0) {
outData[idx][prop] = obj.changes;
} else {
weeks.push(obj.week);
tmp['week'] = obj.week;
tmp[prop] = obj.changes;
outData.push(tmp);
}
return outData;
}, []);
It will return you an object array like this:
week year2013 year2014 year2015
---- -------- -------- --------
41 1590 1052 682
42 0 0 0
43 2008 10122 244
44 3900 1461 21
Demo Fiddle: http://jsfiddle.net/abhitalks/kLg5f1wk/
(check console)
Demo Snippet:
(check console)
var data = [
{ "year": 2013, "month": 10, "week": 41, "changes": 1590 },
{ "year": 2013, "month": 10, "week": 42, "changes": 0 },
{ "year": 2013, "month": 10, "week": 43, "changes": 2008 },
{ "year": 2013, "month": 10, "week": 44, "changes": 3900 },
{ "year": 2014, "month": 10, "week": 41, "changes": 1052 },
{ "year": 2014, "month": 10, "week": 42, "changes": 0 },
{ "year": 2014, "month": 10, "week": 43, "changes": 10122 },
{ "year": 2014, "month": 10, "week": 44, "changes": 1461 },
{ "year": 2015, "month": 10, "week": 41, "changes": 682 },
{ "year": 2015, "month": 10, "week": 42, "changes": 0 },
{ "year": 2015, "month": 10, "week": 43, "changes": 244 },
{ "year": 2015, "month": 10, "week": 44, "changes": 21 }
], weeks = [], flatData;
flatData = data.reduce(function(outData, obj) {
var tmp = {}, prop = 'year' + obj.year;
if ((idx = weeks.indexOf(obj.week)) >= 0) {
outData[idx][prop] = obj.changes;
} else {
weeks.push(obj.week);
tmp['week'] = obj.week;
tmp[prop] = obj.changes;
outData.push(tmp);
}
return outData;
}, []);
console.table(flatData);


I suggest to use Array.prototype.forEach and Array.prototype.map for creating a temporary object and the later result array.
var data = [{ "year": 2013, "month": 10, "week": 41, "changes": 1590 }, { "year": 2013, "month": 10, "week": 42, "changes": 0 }, { "year": 2013, "month": 10, "week": 43, "changes": 2008 }, { "year": 2013, "month": 10, "week": 44, "changes": 3900 }, { "year": 2014, "month": 10, "week": 41, "changes": 1052 }, { "year": 2014, "month": 10, "week": 42, "changes": 0 }, { "year": 2014, "month": 10, "week": 43, "changes": 10122 }, { "year": 2014, "month": 10, "week": 44, "changes": 1461 }, { "year": 2015, "month": 10, "week": 41, "changes": 682 }, { "year": 2015, "month": 10, "week": 42, "changes": 0 }, { "year": 2015, "month": 10, "week": 43, "changes": 244 }, { "year": 2015, "month": 10, "week": 44, "changes": 21 }],
groups = { '2013': 'firstYear', '2014': 'secondYear', '2015': 'thirdYear' },
temp = {},
result;
data.forEach(function (a) {
temp[a.week] = temp[a.week] || { week: a.week };
temp[a.week][groups[a.year]] = a.changes;
});
result = Object.keys(temp).map(function (k) { return temp[k]; });
document.write('<pre>' + JSON.stringify(result, 0, 4) + '</pre>');


Instead of debugging your code I think a more "algorithmic" approach would be better. Consider this :
function processWeek(week) {
var weekItem = { week: week };
data.forEach(function(item) {
if (item.week == week) switch (item.year) {
case firstYear : weekItem.firstYear = item.changes; break;
case secondYear : weekItem.secondYear = item.changes; break;
case thildYear : weekItem.thildYear = item.changes; break;
default : alert('this will never happen'); break;
}
})
return weekItem;
}
for (var week=41;week<45;week++) {
sampleData.push(processWeek(week));
}
The above produces the desired result -> http://jsfiddle.net/by22q6h8/
The idea is to narrow down the construct of new items to simple steps :
create the item
isolate weeks we are after
determine which changes go to which new attribute.

Related

How to update the page after call Axios.patch?

I made a line change via axios.path, but after changes in db.json I constantly need to reload the page. How can I avoid this and make the data update automatically?
const submitEdits = (item) => {
axios.patch(`http://localhost:3004/item/${item.id}`, { text: editingText })
setIdItem(null);
setEditingText('')
}
My db.json
{
"item": [
{
"text": "123123123",
"id": 0,
"data": {
"year": 2012,
"day": 25,
"month": 1
}
},
{
"text": "Поступил в институт",
"id": 1,
"data": {
"year": 2007,
"day": 12,
"month": 4
}
},
{
"id": 2,
"text": "123",
"data": {
"year": 2022,
"day": 16,
"month": 5
}
}
]
}

Selection from JSON

I recently started learning JavaScript and faced a task that I can't complete in any way, every time I get the wrong data that I need
There is an object that contains data on banking transactions, I need to make a selection and form a new object using filter, map or reduce:
We assume that the initial balance on the card = 0.
Output the TOP 3 months with the largest number of operations by month.
Formalize it as a task_1(arr) function, where arr is the source array with data
for all months.
Output format:
[
{ year: 2019, month: 11, opsCount: 27 },
{ year: 2019, month: 10, opsCount: 26 },
{ year: 2019, month: 8, opsCount: 24 }
]
Output statistics for the end of the specified month.
monthmonthBalance - own balance by month = The amount of all
deposits minus the amount of all debits
montWithdrawal – total cash withdrawal amount
withdrawalRate – the share of the total amount of debits from the total amount of
deposits per month.
rank – user status calculated by the formula:
Gold if withdrawalRate < 0.15.
Silver if withdrawalRate < 0.3.
Bronze in all other cases.
Formalize it as a task_2(year, month, arr) function, where year, month is the desired one
month, and arr is the original array with all the data by month.
Output format:
{
date: '2019-01-31’,
monthBalance: 3829,
monthWithrawal: 33800,
withdrawalRate: 0.3133
rank: 'Bronze’
}
Calculate statistics from task 2 for all months of the period.
Add a field to each month
totalBalance - cumulative balance = Own balance for the
month + Balance for the cumulative balance for the previous month.
Output format:
[
{
date: '2019-01-31’,
monthBalance: 3829,
totalBalance: 3829,
monthWithrawal: 33800,
withdrawalRate: 0.3133
rank: ’Bronze'
},
...
]
Formalize it as a task_3(arr) function, where arr is the source array with data.
JSON with data:
[
{ "year": 2019, "month": 1, "day": 1, "type": "replenishment", "amount": 79817 },
{ "year": 2019, "month": 1, "day": 3, "type": "payment", "amount": 11334 },
{ "year": 2019, "month": 1, "day": 5, "type": "withdrawal", "amount": 26700 },
{ "year": 2019, "month": 1, "day": 5, "type": "payment", "amount": 15475 },
{ "year": 2019, "month": 1, "day": 6, "type": "payment", "amount": 4818 },
{ "year": 2019, "month": 1, "day": 6, "type": "payment", "amount": 1893 },
{ "year": 2019, "month": 1, "day": 7, "type": "payment", "amount": 3844 },
{ "year": 2019, "month": 1, "day": 7, "type": "withdrawal", "amount": 3100 },
{ "year": 2019, "month": 1, "day": 7, "type": "payment", "amount": 3230 },
{ "year": 2019, "month": 1, "day": 7, "type": "payment", "amount": 2427 },
{ "year": 2019, "month": 1, "day": 9, "type": "replenishment", "amount": 15835 },
{ "year": 2019, "month": 1, "day": 10, "type": "payment", "amount": 9670 },
{ "year": 2019, "month": 1, "day": 11, "type": "payment", "amount": 582 },
{ "year": 2019, "month": 1, "day": 11, "type": "withdrawal", "amount": 1100 },
{ "year": 2019, "month": 1, "day": 11, "type": "replenishment", "amount": 5971 },
{ "year": 2019, "month": 1, "day": 12, "type": "payment", "amount": 173 },
{ "year": 2019, "month": 1, "day": 14, "type": "withdrawal", "amount": 1500 },
{ "year": 2019, "month": 1, "day": 14, "type": "payment", "amount": 3641 },
{ "year": 2019, "month": 1, "day": 16, "type": "payment", "amount": 4669 },
{ "year": 2019, "month": 1, "day": 18, "type": "payment", "amount": 2460 },
{ "year": 2019, "month": 1, "day": 19, "type": "payment", "amount": 1307 },
{ "year": 2019, "month": 1, "day": 20, "type": "withdrawal", "amount": 1400 },
{ "year": 2019, "month": 1, "day": 21, "type": "payment", "amount": 952 },
{ "year": 2019, "month": 1, "day": 21, "type": "payment", "amount": 561 },
{ "year": 2019, "month": 1, "day": 21, "type": "replenishment", "amount": 6236 },
{ "year": 2019, "month": 1, "day": 22, "type": "payment", "amount": 888 },
{ "year": 2019, "month": 1, "day": 22, "type": "payment", "amount": 2306 },
{ "year": 2019, "month": 2, "day": 1, "type": "replenishment", "amount": 84839 },
{ "year": 2019, "month": 2, "day": 1, "type": "withdrawal", "amount": 27700 },
{ "year": 2019, "month": 2, "day": 1, "type": "payment", "amount": 11145 },
{ "year": 2019, "month": 2, "day": 2, "type": "payment", "amount": 4075 },
{ "year": 2019, "month": 2, "day": 4, "type": "withdrawal", "amount": 10900 },
{ "year": 2019, "month": 2, "day": 6, "type": "payment", "amount": 10537 },
{ "year": 2019, "month": 2, "day": 6, "type": "payment", "amount": 6001 },
{ "year": 2019, "month": 2, "day": 7, "type": "withdrawal", "amount": 7300 },
{ "year": 2019, "month": 2, "day": 10, "type": "withdrawal", "amount": 1500 },
{ "year": 2019, "month": 2, "day": 10, "type": "payment", "amount": 3584 },
{ "year": 2019, "month": 2, "day": 11, "type": "payment", "amount": 701 },
{ "year": 2019, "month": 3, "day": 1, "type": "replenishment", "amount": 84771 },
{ "year": 2019, "month": 3, "day": 3, "type": "withdrawal", "amount": 22700 },
{ "year": 2019, "month": 3, "day": 5, "type": "payment", "amount": 12352 },
{ "year": 2019, "month": 3, "day": 8, "type": "payment", "amount": 2795 },
{ "year": 2019, "month": 3, "day": 11, "type": "withdrawal", "amount": 16600 },
{ "year": 2019, "month": 3, "day": 11, "type": "replenishment", "amount": 4141 },
{ "year": 2019, "month": 3, "day": 11, "type": "payment", "amount": 9854 },
{ "year": 2019, "month": 3, "day": 13, "type": "withdrawal", "amount": 1200 },
{ "year": 2019, "month": 3, "day": 14, "type": "payment", "amount": 11573 },
{ "year": 2019, "month": 3, "day": 14, "type": "payment", "amount": 5138 },
{ "year": 2019, "month": 3, "day": 15, "type": "payment", "amount": 731 },
{ "year": 2019, "month": 3, "day": 17, "type": "payment", "amount": 5053 },
{ "year": 2019, "month": 3, "day": 19, "type": "withdrawal", "amount": 400 },
{ "year": 2019, "month": 3, "day": 20, "type": "payment", "amount": 1745 },
{ "year": 2019, "month": 3, "day": 20, "type": "payment", "amount": 602 },
{ "year": 2019, "month": 3, "day": 21, "type": "payment", "amount": 178 },
{ "year": 2019, "month": 3, "day": 22, "type": "payment", "amount": 353 },
{ "year": 2019, "month": 3, "day": 23, "type": "payment", "amount": 837 },
{ "year": 2019, "month": 3, "day": 23, "type": "payment", "amount": 330 },
{ "year": 2019, "month": 3, "day": 23, "type": "payment", "amount": 799 },
{ "year": 2019, "month": 3, "day": 24, "type": "payment", "amount": 294 },
{ "year": 2019, "month": 3, "day": 24, "type": "payment", "amount": 260 },
{ "year": 2019, "month": 3, "day": 25, "type": "withdrawal", "amount": 200 },
{ "year": 2019, "month": 4, "day": 1, "type": "replenishment", "amount": 88656 },
{ "year": 2019, "month": 4, "day": 4, "type": "payment", "amount": 37852 },
{ "year": 2019, "month": 4, "day": 7, "type": "payment", "amount": 9365 },
{ "year": 2019, "month": 4, "day": 8, "type": "payment", "amount": 16701 },
{ "year": 2019, "month": 4, "day": 11, "type": "payment", "amount": 8979 },
{ "year": 2019, "month": 4, "day": 11, "type": "payment", "amount": 1971 },
{ "year": 2019, "month": 4, "day": 13, "type": "payment", "amount": 1261 },
{ "year": 2019, "month": 4, "day": 13, "type": "withdrawal", "amount": 800 },
{ "year": 2019, "month": 4, "day": 15, "type": "payment", "amount": 5553 },
{ "year": 2019, "month": 4, "day": 17, "type": "payment", "amount": 2593 },
{ "year": 2019, "month": 4, "day": 18, "type": "replenishment", "amount": 6915 },
{ "year": 2019, "month": 4, "day": 19, "type": "replenishment", "amount": 17647 },
{ "year": 2019, "month": 4, "day": 21, "type": "payment", "amount": 13814 },
{ "year": 2019, "month": 4, "day": 22, "type": "payment", "amount": 2707 },
{ "year": 2019, "month": 4, "day": 22, "type": "withdrawal", "amount": 1300 },
{ "year": 2019, "month": 4, "day": 22, "type": "withdrawal", "amount": 2900 },
{ "year": 2019, "month": 4, "day": 23, "type": "replenishment", "amount": 10709 },
{ "year": 2019, "month": 4, "day": 23, "type": "payment", "amount": 686 },
{ "year": 2019, "month": 4, "day": 23, "type": "withdrawal", "amount": 5100 },
{ "year": 2019, "month": 4, "day": 23, "type": "payment", "amount": 3830 },
{ "year": 2019, "month": 5, "day": 1, "type": "replenishment", "amount": 59877 },
{ "year": 2019, "month": 5, "day": 2, "type": "payment", "amount": 14095 },
{ "year": 2019, "month": 5, "day": 5, "type": "payment", "amount": 10858 },
{ "year": 2019, "month": 5, "day": 8, "type": "payment", "amount": 9412 },
{ "year": 2019, "month": 5, "day": 11, "type": "replenishment", "amount": 6892 },
{ "year": 2019, "month": 5, "day": 11, "type": "payment", "amount": 17541 },
{ "year": 2019, "month": 5, "day": 11, "type": "payment", "amount": 2666 },
{ "year": 2019, "month": 5, "day": 11, "type": "payment", "amount": 3935 },
{ "year": 2019, "month": 5, "day": 12, "type": "withdrawal", "amount": 2600 },
{ "year": 2019, "month": 5, "day": 14, "type": "payment", "amount": 2096 },
{ "year": 2019, "month": 5, "day": 14, "type": "replenishment", "amount": 2733 },
{ "year": 2019, "month": 5, "day": 15, "type": "replenishment", "amount": 538 },
{ "year": 2019, "month": 5, "day": 15, "type": "payment", "amount": 5324 },
{ "year": 2019, "month": 5, "day": 15, "type": "payment", "amount": 2490 },
{ "year": 2019, "month": 5, "day": 15, "type": "payment", "amount": 3510 },
{ "year": 2019, "month": 5, "day": 17, "type": "withdrawal", "amount": 300 },
{ "year": 2019, "month": 5, "day": 17, "type": "payment", "amount": 133 },
{ "year": 2019, "month": 6, "day": 1, "type": "replenishment", "amount": 89064 },
{ "year": 2019, "month": 6, "day": 2, "type": "payment", "amount": 7613 },
{ "year": 2019, "month": 6, "day": 2, "type": "payment", "amount": 33742 },
{ "year": 2019, "month": 6, "day": 5, "type": "withdrawal", "amount": 7200 },
{ "year": 2019, "month": 6, "day": 6, "type": "payment", "amount": 15125 },
{ "year": 2019, "month": 6, "day": 9, "type": "payment", "amount": 3379 },
{ "year": 2019, "month": 6, "day": 10, "type": "payment", "amount": 1260 },
{ "year": 2019, "month": 6, "day": 12, "type": "payment", "amount": 11066 },
{ "year": 2019, "month": 6, "day": 12, "type": "replenishment", "amount": 7050 },
{ "year": 2019, "month": 6, "day": 12, "type": "payment", "amount": 7531 },
{ "year": 2019, "month": 6, "day": 13, "type": "payment", "amount": 4776 },
{ "year": 2019, "month": 6, "day": 13, "type": "replenishment", "amount": 4456 },
{ "year": 2019, "month": 6, "day": 14, "type": "replenishment", "amount": 7998 },
{ "year": 2019, "month": 6, "day": 16, "type": "payment", "amount": 2437 },
{ "year": 2019, "month": 6, "day": 16, "type": "replenishment", "amount": 11729 },
{ "year": 2019, "month": 6, "day": 18, "type": "payment", "amount": 11216 },
{ "year": 2019, "month": 6, "day": 19, "type": "payment", "amount": 3420 },
{ "year": 2019, "month": 6, "day": 19, "type": "payment", "amount": 1339 },
{ "year": 2019, "month": 6, "day": 20, "type": "payment", "amount": 5578 },
{ "year": 2019, "month": 6, "day": 21, "type": "withdrawal", "amount": 1600 },
{ "year": 2019, "month": 6, "day": 21, "type": "withdrawal", "amount": 400 },
{ "year": 2019, "month": 7, "day": 1, "type": "replenishment", "amount": 51749 },
{ "year": 2019, "month": 7, "day": 2, "type": "payment", "amount": 2875 },
{ "year": 2019, "month": 7, "day": 2, "type": "payment", "amount": 10315 },
{ "year": 2019, "month": 7, "day": 5, "type": "payment", "amount": 18501 },
{ "year": 2019, "month": 7, "day": 5, "type": "payment", "amount": 12728 },
{ "year": 2019, "month": 7, "day": 7, "type": "payment", "amount": 4505 },
{ "year": 2019, "month": 7, "day": 8, "type": "payment", "amount": 2758 },
{ "year": 2019, "month": 7, "day": 8, "type": "payment", "amount": 60 },
{ "year": 2019, "month": 7, "day": 10, "type": "withdrawal", "amount": 1100 },
{ "year": 2019, "month": 7, "day": 12, "type": "withdrawal", "amount": 1000 },
{ "year": 2019, "month": 7, "day": 13, "type": "payment", "amount": 151 },
{ "year": 2019, "month": 8, "day": 1, "type": "replenishment", "amount": 85156 },
{ "year": 2019, "month": 8, "day": 1, "type": "payment", "amount": 33978 },
{ "year": 2019, "month": 8, "day": 2, "type": "payment", "amount": 6548 },
{ "year": 2019, "month": 8, "day": 3, "type": "payment", "amount": 5909 },
{ "year": 2019, "month": 8, "day": 6, "type": "payment", "amount": 2326 },
{ "year": 2019, "month": 8, "day": 6, "type": "payment", "amount": 17798 },
{ "year": 2019, "month": 8, "day": 9, "type": "replenishment", "amount": 10770 },
{ "year": 2019, "month": 8, "day": 10, "type": "withdrawal", "amount": 7400 },
{ "year": 2019, "month": 8, "day": 12, "type": "payment", "amount": 6065 },
{ "year": 2019, "month": 8, "day": 14, "type": "withdrawal", "amount": 900 },
{ "year": 2019, "month": 8, "day": 14, "type": "withdrawal", "amount": 1400 },
{ "year": 2019, "month": 8, "day": 14, "type": "payment", "amount": 4673 },
{ "year": 2019, "month": 8, "day": 15, "type": "payment", "amount": 960 },
{ "year": 2019, "month": 8, "day": 15, "type": "payment", "amount": 1085 },
{ "year": 2019, "month": 8, "day": 17, "type": "payment", "amount": 3723 },
{ "year": 2019, "month": 8, "day": 17, "type": "payment", "amount": 2522 },
{ "year": 2019, "month": 8, "day": 19, "type": "replenishment", "amount": 2496 },
{ "year": 2019, "month": 8, "day": 20, "type": "payment", "amount": 876 },
{ "year": 2019, "month": 8, "day": 20, "type": "payment", "amount": 2504 },
{ "year": 2019, "month": 8, "day": 21, "type": "payment", "amount": 826 },
{ "year": 2019, "month": 8, "day": 22, "type": "payment", "amount": 768 },
{ "year": 2019, "month": 8, "day": 23, "type": "withdrawal", "amount": 700 },
{ "year": 2019, "month": 8, "day": 23, "type": "payment", "amount": 190 },
{ "year": 2019, "month": 8, "day": 24, "type": "payment", "amount": 235 },
{ "year": 2019, "month": 9, "day": 1, "type": "replenishment", "amount": 95512 },
{ "year": 2019, "month": 9, "day": 3, "type": "payment", "amount": 26758 },
{ "year": 2019, "month": 9, "day": 3, "type": "replenishment", "amount": 8377 },
{ "year": 2019, "month": 9, "day": 4, "type": "payment", "amount": 30865 },
{ "year": 2019, "month": 9, "day": 4, "type": "withdrawal", "amount": 12800 },
{ "year": 2019, "month": 9, "day": 7, "type": "payment", "amount": 10518 },
{ "year": 2019, "month": 9, "day": 8, "type": "payment", "amount": 11007 },
{ "year": 2019, "month": 9, "day": 10, "type": "payment", "amount": 5613 },
{ "year": 2019, "month": 9, "day": 10, "type": "withdrawal", "amount": 1700 },
{ "year": 2019, "month": 9, "day": 12, "type": "payment", "amount": 2237 },
{ "year": 2019, "month": 9, "day": 14, "type": "payment", "amount": 885 },
{ "year": 2019, "month": 9, "day": 14, "type": "payment", "amount": 977 },
{ "year": 2019, "month": 9, "day": 15, "type": "payment", "amount": 766 },
{ "year": 2019, "month": 9, "day": 17, "type": "payment", "amount": 360 },
{ "year": 2019, "month": 9, "day": 18, "type": "payment", "amount": 116 },
{ "year": 2019, "month": 9, "day": 18, "type": "withdrawal", "amount": 200 },
{ "year": 2019, "month": 9, "day": 19, "type": "payment", "amount": 115 },
{ "year": 2019, "month": 9, "day": 20, "type": "payment", "amount": 50 },
{ "year": 2019, "month": 9, "day": 21, "type": "payment", "amount": 32 },
{ "year": 2019, "month": 10, "day": 1, "type": "replenishment", "amount": 90475 },
{ "year": 2019, "month": 10, "day": 1, "type": "replenishment", "amount": 8845 },
{ "year": 2019, "month": 10, "day": 2, "type": "payment", "amount": 7121 },
{ "year": 2019, "month": 10, "day": 3, "type": "payment", "amount": 27955 },
{ "year": 2019, "month": 10, "day": 3, "type": "payment", "amount": 23079 },
{ "year": 2019, "month": 10, "day": 4, "type": "payment", "amount": 5948 },
{ "year": 2019, "month": 10, "day": 7, "type": "withdrawal", "amount": 4400 },
{ "year": 2019, "month": 10, "day": 8, "type": "payment", "amount": 9677 },
{ "year": 2019, "month": 10, "day": 9, "type": "payment", "amount": 3912 },
{ "year": 2019, "month": 10, "day": 9, "type": "replenishment", "amount": 3870 },
{ "year": 2019, "month": 10, "day": 9, "type": "payment", "amount": 6949 },
{ "year": 2019, "month": 10, "day": 10, "type": "withdrawal", "amount": 3400 },
{ "year": 2019, "month": 10, "day": 10, "type": "replenishment", "amount": 7471 },
{ "year": 2019, "month": 10, "day": 10, "type": "payment", "amount": 5962 },
{ "year": 2019, "month": 10, "day": 10, "type": "payment", "amount": 4990 },
{ "year": 2019, "month": 10, "day": 10, "type": "withdrawal", "amount": 3000 },
{ "year": 2019, "month": 10, "day": 11, "type": "withdrawal", "amount": 200 },
{ "year": 2019, "month": 10, "day": 12, "type": "withdrawal", "amount": 1300 },
{ "year": 2019, "month": 10, "day": 13, "type": "payment", "amount": 986 },
{ "year": 2019, "month": 10, "day": 14, "type": "replenishment", "amount": 4225 },
{ "year": 2019, "month": 10, "day": 15, "type": "withdrawal", "amount": 900 },
{ "year": 2019, "month": 10, "day": 17, "type": "payment", "amount": 864 },
{ "year": 2019, "month": 10, "day": 17, "type": "withdrawal", "amount": 1000 },
{ "year": 2019, "month": 10, "day": 18, "type": "payment", "amount": 801 },
{ "year": 2019, "month": 10, "day": 19, "type": "withdrawal", "amount": 300 },
{ "year": 2019, "month": 10, "day": 20, "type": "payment", "amount": 530 },
{ "year": 2019, "month": 11, "day": 1, "type": "replenishment", "amount": 80285 },
{ "year": 2019, "month": 11, "day": 3, "type": "payment", "amount": 38155 },
{ "year": 2019, "month": 11, "day": 6, "type": "payment", "amount": 10260 },
{ "year": 2019, "month": 11, "day": 9, "type": "payment", "amount": 11013 },
{ "year": 2019, "month": 11, "day": 10, "type": "payment", "amount": 1232 },
{ "year": 2019, "month": 11, "day": 12, "type": "withdrawal", "amount": 5100 },
{ "year": 2019, "month": 11, "day": 12, "type": "payment", "amount": 1192 },
{ "year": 2019, "month": 11, "day": 13, "type": "withdrawal", "amount": 4500 },
{ "year": 2019, "month": 11, "day": 14, "type": "replenishment", "amount": 4304 },
{ "year": 2019, "month": 11, "day": 15, "type": "withdrawal", "amount": 700 },
{ "year": 2019, "month": 11, "day": 15, "type": "replenishment", "amount": 15857 },
{ "year": 2019, "month": 11, "day": 17, "type": "payment", "amount": 9134 },
{ "year": 2019, "month": 11, "day": 19, "type": "payment", "amount": 8090 },
{ "year": 2019, "month": 11, "day": 20, "type": "payment", "amount": 2117 },
{ "year": 2019, "month": 11, "day": 20, "type": "withdrawal", "amount": 2700 },
{ "year": 2019, "month": 11, "day": 21, "type": "withdrawal", "amount": 2200 },
{ "year": 2019, "month": 11, "day": 21, "type": "payment", "amount": 258 },
{ "year": 2019, "month": 11, "day": 21, "type": "withdrawal", "amount": 1200 },
{ "year": 2019, "month": 11, "day": 21, "type": "payment", "amount": 1966 },
{ "year": 2019, "month": 11, "day": 21, "type": "withdrawal", "amount": 200 },
{ "year": 2019, "month": 11, "day": 21, "type": "payment", "amount": 493 },
{ "year": 2019, "month": 11, "day": 21, "type": "payment", "amount": 396 },
{ "year": 2019, "month": 11, "day": 21, "type": "withdrawal", "amount": 200 },
{ "year": 2019, "month": 11, "day": 21, "type": "payment", "amount": 134 },
{ "year": 2019, "month": 11, "day": 22, "type": "replenishment", "amount": 4815 },
{ "year": 2019, "month": 11, "day": 22, "type": "withdrawal", "amount": 500 },
{ "year": 2019, "month": 11, "day": 23, "type": "payment", "amount": 1793 },
{ "year": 2019, "month": 12, "day": 1, "type": "replenishment", "amount": 93524 },
{ "year": 2019, "month": 12, "day": 2, "type": "payment", "amount": 44289 },
{ "year": 2019, "month": 12, "day": 2, "type": "payment", "amount": 7724 },
{ "year": 2019, "month": 12, "day": 4, "type": "payment", "amount": 9420 },
{ "year": 2019, "month": 12, "day": 4, "type": "withdrawal", "amount": 3200 },
{ "year": 2019, "month": 12, "day": 4, "type": "payment", "amount": 651 },
{ "year": 2019, "month": 12, "day": 6, "type": "payment", "amount": 9259 },
{ "year": 2019, "month": 12, "day": 6, "type": "withdrawal", "amount": 5700 },
{ "year": 2019, "month": 12, "day": 7, "type": "payment", "amount": 1298 },
{ "year": 2019, "month": 12, "day": 9, "type": "payment", "amount": 3108 },
{ "year": 2019, "month": 12, "day": 11, "type": "withdrawal", "amount": 4300 },
{ "year": 2019, "month": 12, "day": 13, "type": "withdrawal", "amount": 200 },
{ "year": 2019, "month": 12, "day": 13, "type": "replenishment", "amount": 9096 },
{ "year": 2019, "month": 12, "day": 14, "type": "payment", "amount": 7205 },
{ "year": 2019, "month": 12, "day": 16, "type": "payment", "amount": 658 },
{ "year": 2019, "month": 12, "day": 17, "type": "replenishment", "amount": 9654 }
]
First, for the task_1, I get an object that contains values by the key "month":
var arr1 = ops.map(function(item){
return item.month
})
Then I find the sum of the unique values in the resulting array:
quantity var = {};
for (var i = 0; i <arr1.length; i++){
quantity [arr1[i]] = 1 + (quantity [arr1[i]]|/ 0);
}
and I get the counts object in the following form:
counts
{1: 27, 2: 11, 3: 23, 4: 20, 5: 17, 6: 21, 7: 11, 8: 24, 9: 19, 10: 26, 11: 27, 12: 16}
After that, I sort to find the 3 maximum values:
function findMax 3(obj){
var res = [-1,-1,-1];
for (let key in obj){
res[3] = obj[key];
res.sort(function(a,b){return b-a});
}
res.pop();
return res;
}
console.log(findMax3(counts));
In the console I get the following:
[27, 27, 26]
but at the same time, I no longer know the index of the months to which these values relate
Thank you for your answers!

To solve these problems here is the hint "GroupBy using reduce"
As for task1
function task_1(arr) {
// Dictionary of Month to Object.
const groupedByMonth = arr.reduce(function (acc, currentValue) {
let groupKey = currentValue.month;
if (!acc[groupKey]) {
acc[groupKey] = {
year: currentValue.year,
month: currentValue.month,
opsCount: 0
};
}
acc[groupKey].opsCount += 1; // ++
return acc;
}, {});
// Sort by opsCount
function opsSort(a, b) { return b.opsCount - a.opsCount };
return Object
.values(groupedByMonth) // Array of Values
.sort(opsSort)
.slice(0, 3) // Top 3
}
Once you understand how task 1 is solved, task 2 becomes a bit simpler
Solution for Task 2
function getEndOfMonth(year, month) {
const date = new Date(year, month, 0);
let monthStr = "";
if (month < 10) {
monthStr += "0";
}
monthStr += month;
return year + "-" + monthStr + "-" + date.getDate();
}
function getRank(rate) {
if (rate < 0.15)
return 'Gold';
if (rate < 0.3)
return 'Gold';
return 'Bronze';
}
function task_2(arr) {
const groupedByMonth = arr.reduce(function (acc, currentValue) {
let groupKey = currentValue.month;
if (!acc[groupKey]) {
acc[groupKey] = {
date: getEndOfMonth(currentValue.year, currentValue.month),
monthWithrawal: 0,
totalDebits: 0,
totalDeposits: 0
};
}
// Based on type calculate value.
if (currentValue.type === "replenishment") {
acc[groupKey].totalDeposits += currentValue.amount;
} else if (currentValue.type === "payment") {
acc[groupKey].totalDebits += currentValue.amount;
} else if (currentValue.type === "withdrawal") {
acc[groupKey].monthWithrawal += currentValue.amount;
}
return acc;
}, {});
return Object
.values(groupedByMonth) // Array of Values
.map(function (ele) {
const withdrawalRate = ele.monthWithrawal / ele.totalDeposits;
return {
date: ele.date,
monthBalance: ele.totalDeposits - ele.totalDebits - ele.monthWithrawal,
monthWithrawal: ele.monthWithrawal,
withdrawalRate,
rank: getRank(withdrawalRate)
};
});
}
if you have solved task 2, task 3 is just adding reduce/map to task2's solution.
function task_3(arr) {
// Assuming that task_2 function is defined.
const task2 = task_2(arr);
// Can be Solved using reduce.
return task2
.map(function (currentValue, index, array) {
const tmp = currentValue;
tmp.totalBalance = tmp.monthBalance;
if (index > 0) { // Not the first element.
tmp.totalBalance += array[index - 1].totalBalance;
}
return tmp;
})
}

Task 1
const task_1 = (arr, top = 3) => {
const ops = arr.reduce((acc, {year, month}) => {
const accByMonth = acc.find((obj) => (obj.month === month));
if (accByMonth) {
accByMonth.opsCount +=1;
} else {
acc.push({ year, month, opsCount: 1 })
}
return acc;
}, []);
const sortedOps = ops.sort(
(obj1, obj2) => (obj2.opsCount - obj1.opsCount)
);
return sortedOps.slice(0, top);
}
console.log(task_1(data));
//[
// { year: 2019, month: 1, opsCount: 27 },
// { year: 2019, month: 11, opsCount: 27 },
// { year: 2019, month: 10, opsCount: 26 }
//]
Task 2
const getTotalByType = (arr, type) => arr
.filter((obj) => obj.type === type)
.reduce((sum, { amount }) => sum + amount, 0);
const getRank = (ratio) =>{
const ranks = [[0.15, 'Gold'], [0.3, 'Silver'], [Infinity, 'Bronze']]
return ranks.find(([ rankRatio ]) => ratio < rankRatio)[1];
}
const task_2 = (year, month, arr) => {
const filteredData = arr.filter((obj) => (obj.year === year) && (obj.month === month));
const maxDay = Math.max(...filteredData.map(({ day }) => day));
const date = new Date(year, month - 1, maxDay).toISOString().split('T')[0];
const monthReplenishment = getTotalByType(filteredData, 'replenishment');
const monthPayment = getTotalByType(filteredData, 'payment');
const monthWithdrawal = getTotalByType(filteredData, 'withdrawal');
const monthBalance = monthReplenishment - monthPayment - monthWithdrawal;
const withdrawalRate = parseFloat((monthWithdrawal / monthReplenishment).toFixed(4));
const rank = getRank(withdrawalRate);
return {
date,
monthBalance,
monthWithdrawal,
withdrawalRate,
rank,
}
};
console.log(task_2(2019, 7, data));
//{
// date: '2019-07-13',
// monthBalance: -2244,
// monthWithdrawal: 2100,
// withdrawalRate: 0.0406,
// rank: 'Gold'
//}
Task 3
const getPeriods = (arr) => arr.
reduce((acc, {year, month}) => {
const isPeriodInAcc = acc.some(
(obj) => (obj.month === month) && (obj.year === year)
);
if (!isPeriodInAcc) {
acc.push({ year, month })
}
return acc;
}, [])
const task_3 = (arr, initialBalance = 0) => {
const periods = getPeriods(arr);
let totalBalance = initialBalance;
return periods.map(({ year, month }) => {
const opsByPeriod = task_2(year, month, arr);
totalBalance += opsByPeriod.monthBalance;
return {...opsByPeriod, totalBalance}
});
}
console.log(task_3(data));
//[
// {
// date: '2019-01-22',
// monthBalance: 3829,
// monthWithdrawal: 33800,
// withdrawalRate: 0.3134,
// rank: 'Bronze',
// totalBalance: 3829
// },
// ...
// {...},
//]

Group values with the same key in an array of objects

To display data in highcharts.js I need to turn the following data:
"personas": [
{
"category":"Persona1",
"month":"6",
"week":"24",
"day":"18",
"dayaverage":0.5,
"weekaverage":1.33333333333333,
"monthaverage":1.53571428571429
},
{
"category":"Persona2",
"month":"6",
"week":"24",
"day":"18",
"dayaverage":0.146477031224456,
"weekaverage":0.194758246723904,
"monthaverage":0.601273296708939
},
{
"category":"Persona3",
"month":"6",
"week":"24",
"day":"18",
"dayaverage":1.25559947299078,
"weekaverage":1.43618513323983,
"monthaverage":0.998426393184655
},
{
"category":"Persona4",
"month":"6",
"week":"24",
"day":"18",
"dayaverage":0.799332962757087,
"weekaverage":0.923262727610554,
"monthaverage":0.769477297163179
},
{
"category":"Persona5",
"month":"6",
"week":"24",
"day":"18",
"dayaverage":0.669041769041769,
"weekaverage":0.67394482002558,
"monthaverage":0.670944920469891
},
{
"category":"Persona6",
"month":"6",
"week":"24",
"day":"18",
"dayaverage":0.656381486676017,
"weekaverage":0.722973507315144,
"monthaverage":0.69689774371321
},
{
"category":"Persona7",
"month":"6",
"week":"24",
"day":"18",
"dayaverage":0.540495407737267,
"weekaverage":0.576413277444205,
"monthaverage":0.693495281755596
}
]
Into this format:
[
{
name: 'dayaverage',
data: [0.5, 0.146477031224456, 1.25559947299078, 0.799332962757087, 0.669041769041769, 0.656381486676017, 0.540495407737267]
},
{
name: 'weekaverage',
data: [1.33333333333333, 0.194758246723904, 1.43618513323983, 0.923262727610554, 0.67394482002558, 0.722973507315144, 0.576413277444205]
}, {
name: 'monthaverage',
data: [1.53571428571429, 0.601273296708939, 0.998426393184655, 0.769477297163179, 0.670944920469891, 0.69689774371321, 0.693495281755596]
}
].
All I'm doing is grouping the dayaverage, weekaverage and monthaverage values into an array and specifying what they are with a name key-value pair.
I'm having trouble writing this because the parent function is going to call with a list of criteria (for the above example it was : criteria = ['dayaverage', 'weekaverage', 'monthaverage'];) and that could change.
Any help appreciated, thanks

You could use an array for the wanted properties and build an array with the data upon.
function getGrouped(array, groups) {
var grouped = groups.map(function (a) {
return { name: a, data: [] };
});
array.personas.forEach(function (a) {
groups.forEach(function (k, i) {
grouped[i].data.push(a[k]);
});
});
return grouped;
}
var data = { personas: [{ category: "Persona1", month: 6, week: 24, day: 18, dayaverage: 0.5, weekaverage: 1.33333333333333, monthaverage: 1.53571428571429 }, { category: "Persona2", month: 6, week: 24, day: 18, dayaverage: 0.146477031224456, weekaverage: 0.194758246723904, monthaverage: 0.601273296708939 }, { category: "Persona3", month: 6, week: 24, day: 18, dayaverage: 1.25559947299078, weekaverage: 1.43618513323983, monthaverage: 0.998426393184655 }, { category: "Persona4", month: 6, week: 24, day: 18, dayaverage: 0.799332962757087, weekaverage: 0.923262727610554, monthaverage: 0.769477297163179 }, { category: "Persona5", month: 6, week: 24, day: 18, dayaverage: 0.669041769041769, weekaverage: 0.67394482002558, monthaverage: 0.670944920469891 }, { category: "Persona6", month: 6, week: 24, day: 18, dayaverage: 0.656381486676017, weekaverage: 0.722973507315144, monthaverage: 0.69689774371321 }, { category: "Persona7", month: 6, week: 24, day: 18, dayaverage: 0.540495407737267, weekaverage: 0.576413277444205, monthaverage: 0.693495281755596 }] };
console.log(getGrouped(data, ['day', 'dayaverage', 'weekaverage', 'monthaverage']));
.as-console-wrapper { max-height: 100% !important; top: 0; }

You can do this using .map() along with .reduce() like so:
Also, to use dynamic properties, you can use bracket syntax ([]) for accessing properties on an object. Here, you can .map() your criteria list into the desired structure, and calculate the data using .reduce().
EDIT - Fixed resulting data structure to accurately output desired results
var personas = [{
"category": "Persona1",
"month": "6",
"week": "24",
"day": "18",
"dayaverage": 0.5,
"weekaverage": 1.33333333333333,
"monthaverage": 1.53571428571429
},
{
"category": "Persona2",
"month": "6",
"week": "24",
"day": "18",
"dayaverage": 0.146477031224456,
"weekaverage": 0.194758246723904,
"monthaverage": 0.601273296708939
},
{
"category": "Persona3",
"month": "6",
"week": "24",
"day": "18",
"dayaverage": 1.25559947299078,
"weekaverage": 1.43618513323983,
"monthaverage": 0.998426393184655
},
{
"category": "Persona4",
"month": "6",
"week": "24",
"day": "18",
"dayaverage": 0.799332962757087,
"weekaverage": 0.923262727610554,
"monthaverage": 0.769477297163179
},
{
"category": "Persona5",
"month": "6",
"week": "24",
"day": "18",
"dayaverage": 0.669041769041769,
"weekaverage": 0.67394482002558,
"monthaverage": 0.670944920469891
},
{
"category": "Persona6",
"month": "6",
"week": "24",
"day": "18",
"dayaverage": 0.656381486676017,
"weekaverage": 0.722973507315144,
"monthaverage": 0.69689774371321
},
{
"category": "Persona7",
"month": "6",
"week": "24",
"day": "18",
"dayaverage": 0.540495407737267,
"weekaverage": 0.576413277444205,
"monthaverage": 0.693495281755596
}
];
var criteria = ['dayaverage', 'weekaverage', 'monthaverage'];
function getMerged(objArr, criteria) {
var dataMap = objArr.reduce(function (result, current) {
criteria.forEach(function (elem) {
if (result[elem] != undefined) {
result[elem].push(current[elem]);
}
else {
result[elem] = [current[elem]];
}
});
return result;
}, {});
return criteria.map(function (elem) {
return {
name: elem,
data: dataMap[elem]
};
});
}
console.log(getMerged(personas, criteria));

One of the ways how to solve it, using Array#forEach.
var json = {personas:[{category:"Persona1",month:"6",week:"24",day:"18",dayaverage:.5,weekaverage:1.33333333333333,monthaverage:1.53571428571429},{category:"Persona2",month:"6",week:"24",day:"18",dayaverage:.146477031224456,weekaverage:.194758246723904,monthaverage:.601273296708939},{category:"Persona3",month:"6",week:"24",day:"18",dayaverage:1.25559947299078,weekaverage:1.43618513323983,monthaverage:.998426393184655},{category:"Persona4",month:"6",week:"24",day:"18",dayaverage:.799332962757087,weekaverage:.923262727610554,monthaverage:.769477297163179},{category:"Persona5",month:"6",week:"24",day:"18",dayaverage:.669041769041769,weekaverage:.67394482002558,monthaverage:.670944920469891},{category:"Persona6",month:"6",week:"24",day:"18",dayaverage:.656381486676017,weekaverage:.722973507315144,monthaverage:.69689774371321},{category:"Persona7",month:"6",week:"24",day:"18",dayaverage:.540495407737267,weekaverage:.576413277444205,monthaverage:.693495281755596}]},
criteria = ['dayaverage', 'weekaverage', 'monthaverage'],
arr = criteria.reduce(function(s,a){
s.push({name: a, data: []});
return s;
}, []);
arr.forEach(function(v) {
json.personas.forEach(function(c) {
v.data.push(c[v.name]);
})
})
console.log(arr);

try this:
var criteria = ['dayaverage', 'weekaverage', 'monthaverage']; //your dynamic criteria
var arr= []; //the filtered array you want
criteria.forEach(function(criterium){
// for each criterium you create a new object that you add to arr
arr.push({
name: criterium,
data: []
});
// then you populate the data field of the newly created field by browsing your big array "personas" that you need to parse before btw
personas.forEach(function (persona) {
arr[arr.length-1].data.push(persona[criterium]);
});
});

You can map the keys to an array of objects and map each of the objects' values by the current key in the mapping process.
var data = getData();
var modified = modify(data, 'personas', ['dayaverage', 'weekaverage', 'monthaverage']);
console.log(JSON.stringify(modified, null, 2));
function modify(data, root, keep) {
data = data[root] != null ? data[root] : data;
var keys = Object.keys(data[0]);
if (keep != null && keep.length > 0)
keys = keys.filter(key => keep.indexOf(key) > -1);
return keys.map(key => {
return {
name: key,
data: data.map(item => item[key])
}
});
}
function getData() {
return {
"personas": [{
"category": "Persona1",
"month": "6",
"week": "24",
"day": "18",
"dayaverage": 0.5,
"weekaverage": 1.33333333333333,
"monthaverage": 1.53571428571429
}, {
"category": "Persona2",
"month": "6",
"week": "24",
"day": "18",
"dayaverage": 0.146477031224456,
"weekaverage": 0.194758246723904,
"monthaverage": 0.601273296708939
}, {
"category": "Persona3",
"month": "6",
"week": "24",
"day": "18",
"dayaverage": 1.25559947299078,
"weekaverage": 1.43618513323983,
"monthaverage": 0.998426393184655
}, {
"category": "Persona4",
"month": "6",
"week": "24",
"day": "18",
"dayaverage": 0.799332962757087,
"weekaverage": 0.923262727610554,
"monthaverage": 0.769477297163179
}, {
"category": "Persona5",
"month": "6",
"week": "24",
"day": "18",
"dayaverage": 0.669041769041769,
"weekaverage": 0.67394482002558,
"monthaverage": 0.670944920469891
}, {
"category": "Persona6",
"month": "6",
"week": "24",
"day": "18",
"dayaverage": 0.656381486676017,
"weekaverage": 0.722973507315144,
"monthaverage": 0.69689774371321
}, {
"category": "Persona7",
"month": "6",
"week": "24",
"day": "18",
"dayaverage": 0.540495407737267,
"weekaverage": 0.576413277444205,
"monthaverage": 0.693495281755596
}]
};
}
.as-console-wrapper { top: 0; max-height: 100% !important; }

organizing objects by name

Take the array of objects below "toursByHotels" — I want to take this data and get the sum of tours for each object that has the same name (the hotel's name, ie. Marriott, etc).
Is there an easier way in d3 than having to create 5 new arrays with the same names, then sum the tours of those?
var toursByHotel = [
{
"name": "Marriott",
"month": 1,
"tours": 10
},
{
"name": "Marriott",
"month": 2,
"tours": 15
},
{
"name": "Marriott",
"month": 3,
"tours": 8
},
{
"name": "Marriott",
"month": 4,
"tours": 12
},
{
"name": "Marriott",
"month": 5,
"tours": 18
},
{
"name": "Marriott",
"month": 6,
"tours": 25
},
{
"name": "Marriott",
"month": 7,
"tours": 40
},
{
"name": "Marriott",
"month": 8,
"tours": 33
},
{
"name": "Marriott",
"month": 9,
"tours": 25
},
{
"name": "Marriott",
"month": 10,
"tours": 21
},
{
"name": "Marriott",
"month": 11,
"tours": 18
},
{
"name": "Marriott",
"month": 12,
"tours": 14
},
{
"name": "Springhill",
"month": 1,
"tours": 10
},
{
"name": "Springhill",
"month": 2,
"tours": 15
},
{
"name": "Springhill",
"month": 3,
"tours": 8
},
{
"name": "Springhill",
"month": 4,
"tours": 12
},
{
"name": "Springhill",
"month": 5,
"tours": 18
},
{
"name": "Springhill",
"month": 6,
"tours": 25
},
{
"name": "Springhill",
"month": 7,
"tours": 40
},
{
"name": "Springhill",
"month": 8,
"tours": 33
},
{
"name": "Springhill",
"month": 9,
"tours": 25
},
{
"name": "Springhill",
"month": 10,
"tours": 21
},
{
"name": "Springhill",
"month": 11,
"tours": 18
},
{
"name": "Springhill",
"month": 12,
"tours": 14
},
{
"name": "Residence",
"month": 1,
"tours": 10
},
{
"name": "Residence",
"month": 2,
"tours": 15
},
{
"name": "Residence",
"month": 3,
"tours": 8
},
{
"name": "Residence",
"month": 4,
"tours": 12
},
{
"name": "Residence",
"month": 5,
"tours": 18
},
{
"name": "Residence",
"month": 6,
"tours": 25
},
{
"name": "Residence",
"month": 7,
"tours": 40
},
{
"name": "Residence",
"month": 8,
"tours": 33
},
{
"name": "Residence",
"month": 9,
"tours": 25
},
{
"name": "Residence",
"month": 10,
"tours": 21
},
{
"name": "Residence",
"month": 11,
"tours": 18
},
{
"name": "Residence",
"month": 12,
"tours": 14
},
{
"name": "Courtyard",
"month": 1,
"tours": 10
},
{
"name": "Courtyard",
"month": 2,
"tours": 15
},
{
"name": "Courtyard",
"month": 3,
"tours": 8
},
{
"name": "Courtyard",
"month": 4,
"tours": 12
},
{
"name": "Courtyard",
"month": 5,
"tours": 18
},
{
"name": "Courtyard",
"month": 6,
"tours": 25
},
{
"name": "Courtyard",
"month": 7,
"tours": 40
},
{
"name": "Courtyard",
"month": 8,
"tours": 33
},
{
"name": "Courtyard",
"month": 9,
"tours": 25
},
{
"name": "Courtyard",
"month": 10,
"tours": 21
},
{
"name": "Courtyard",
"month": 11,
"tours": 18
},
{
"name": "Courtyard",
"month": 12,
"tours": 14
},
{
"name": "Renaissance",
"month": 1,
"tours": 10
},
{
"name": "Renaissance",
"month": 2,
"tours": 15
},
{
"name": "Renaissance",
"month": 3,
"tours": 8
},
{
"name": "Renaissance",
"month": 4,
"tours": 12
},
{
"name": "Renaissance",
"month": 5,
"tours": 18
},
{
"name": "Renaissance",
"month": 6,
"tours": 25
},
{
"name": "Renaissance",
"month": 7,
"tours": 40
},
{
"name": "Renaissance",
"month": 8,
"tours": 33
},
{
"name": "Renaissance",
"month": 9,
"tours": 25
},
{
"name": "Renaissance",
"month": 10,
"tours": 21
},
{
"name": "Renaissance",
"month": 11,
"tours": 18
},
{
"name": "Renaissance",
"month": 12,
"tours": 14
}
];

You can use reduce and return object where each key is hotel name and value is sum of tours. DEMO
data = data.reduce(function(obj, e) {
obj[e.name] = (obj[e.name] || 0) + e.tours;
return obj;
}, {});
console.log(data)
If you want to get sum and percentage for each hotel you can do it like this DEMO
var result = {}
var total = data.reduce((a, b) => {return a + b.tours }, 0);
data.forEach(function(e) {
if(!this[e.name]) {
this[e.name] = {sum: e.tours, percentage: 0}
result[e.name] = this[e.name];
}
this[e.name].sum += e.tours;
this[e.name].percentage = (this[e.name].sum / total)*100;
}, {});
console.log(result)

Using reduce would be the best way to do this:
Working Example
// lets keep track of the total here:
var total = 0;
var totals = a.reduce(function(curr, next) {
curr[next.name] = (curr[next.name] || 0) + next.tours;
// increment total here:
total += next.tours;
return curr;
}, {});
for (var hotel in totals) {
var obj = {};
obj.name = totals[hotel];
obj.percentage = (totals[hotel] / total) * 100 + '%';
totals[hotel] = obj;
}
MDN docs on .reduce

JSON iterating through objects and accessing data result to cannot read property of undefined

I'm parsing a json from a website and trying to get some data from it. However, it is giving me undefined values when iterating through a collection of objects. If it's a badly formatted json, unfortunately, I can't change it.
[
{
"startYear": 2014,
"startMonth": 6,
"startDay": 31,
"endYear": 2014,
"endMonth": 7,
"endDay": 29,
"selectedDate": "2014_7_8",
"departureStation": "Manila",
"arrivalStation": "Boracay (Caticlan)",
"departureStationCode": "(MNL)",
"arrivalStationCode": "(MPH)",
"departureLabel": "DEPARTURE",
"arrivalLabel": "RETURN",
"dateMarketHash": {
"date_0_2014_6_31": {
"containerId": "date_0_2014_6_31",
"fromLabel": "From",
"currency": "PHP",
"price": null,
"formattedDate": "Thu, Jul 31, 2014",
"year": "2014",
"month": "6",
"day": "31",
"points": null,
"pointsSuffix": "",
"pointsLabelAppend": ""
},
"date_0_2014_7_1": {
"containerId": "date_0_2014_7_1",
"fromLabel": "From",
"currency": "PHP",
"price": 1929,
"formattedDate": "Fri, Aug 01, 2014",
"year": "2014",
"month": "7",
"day": "1",
"points": 0,
"pointsSuffix": "",
"pointsLabelAppend": ""
}
}
},
{
"startYear": 2014,
"startMonth": 7,
"startDay": 24,
"endYear": 2014,
"endMonth": 8,
"endDay": 23,
"selectedDate": "2014_8_8",
"departureStation": "Boracay (Caticlan)",
"arrivalStation": "Manila",
"departureStationCode": "(MPH)",
"arrivalStationCode": "(MNL)",
"departureLabel": "DEPARTURE",
"arrivalLabel": "RETURN",
"dateMarketHash": {
"date_1_2014_7_24": {
"containerId": "date_1_2014_7_24",
"fromLabel": "From",
"currency": "PHP",
"price": 3079,
"formattedDate": "Sun, Aug 24, 2014",
"year": "2014",
"month": "7",
"day": "24",
"points": 0,
"pointsSuffix": "",
"pointsLabelAppend": ""
},
"date_1_2014_7_25": {
"containerId": "date_1_2014_7_25",
"fromLabel": "From",
"currency": "PHP",
"price": 3079,
"formattedDate": "Mon, Aug 25, 2014",
"year": "2014",
"month": "7",
"day": "25",
"points": 0,
"pointsSuffix": "",
"pointsLabelAppend": ""
}
}
}
]
my code:
// Printing the value of 'day' from each 'dateMarketHash'
for (i = 0; i<json.length; i++)
{
var current = json[i].dateMarketHash;
for(var key in current){
if (current.hasOwnProperty(key)) {
document.write(current.key.day); // Cannot read property 'day' of undefined
}
}
}

No, it is the fact that you are reading "key" and not the variable. You need to use bracket notation, not dot notation.
document.write(current[key].day);
And you should not be using document.write.

Categories