Utilitie Library for time series operation.
Calculate data array via accessor method.
- Statistics:
- sum, sumsq
- mean, median, quantile
- variance, standard devience, covariance, correlation
- auto covariance, auto correlation
- Aggregation
- minute
- hour
- day
- week
- month
- year
- Analytics (soon)
- auto regression
- spectrum
- moving average
- holt-winters
for data array
Series.sum([1,2,3,4,5]); // => 15
Series.mean([1,2,3,4,5]); // => 3
for object array
Series.y(function(d){ return d.v;})
.sum([{v:1},{v:2},{v:3},{v:4},{v:5}]); // => 15
Series.y(function(d){ return d.v;})
.mean([{v:1},{v:2},{v:3},{v:4},{v:5}]); // => 15
var data = [
{t:1, v:2},{t:1, v:1},{t:2, v:8},
{t:1, v:4},{t:2, v:3},{t:1, v:2}
];
Series.y(function(d){ return d.v; })
.aggregation(Series.sum)
.key(function(d){ return d.t; })
(data);
// => [{t:1, y:9},{t:2, y:11}]
Apache License Version 2.0