twokeys
v1.0.3
Published
data manipulation toolkit
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About
Twokeys is a small JavaScript library (<1kb minified and gzipped) that offers core data exploration techniques such as summary, binning and smoothing. The library is named after John Tukey, a founding mind in data exploration and analysis and a personal hero of the author.
Examples
var twokeys = new Twokeys(),
series = new twokeys.Series({data: twokeys._randomSeries(10 /*count*/, 100 /*max number*/)}),
analysis = series.describe();The library has a well-developed Series protoype for data exploration and a rudimentary Points prototype for generating random two-dimensional series. Applying the convenience method describe() to a new Series returns an object on which all routines have attached their results.
Resulting analysis object:
{
"original": [48, 59, 63, 30, 57, 92, 73, 47, 31, 5],
"summary": {
"median": {
"datum": 52.5,
"depth": 5.5
},
"mean": 50.5,
"mode": [],
"hinges": [{
"datum": 31,
"depth": 3
}, {
"datum": 63,
"depth": 8
}],
"adjacent": [30, 92],
"outliers": [],
"outer": [-43.5, 148.5],
"outside": [],
"inside": [5, 30, 31, 47, 48, 57, 59, 63, 73, 92],
"extremes": [5, 92],
"iqr": 32,
"fences": [4.5, 100.5]
},
"smooths": {
"smooth": [48, 30, 57, 57, 57, 47, 31, 5, 5, 5],
"hanning": [48, 61, 46.5, 43.5, 74.5, 82.5, 60, 39, 18, 5]
},
"transforms": {
"logs": [3.871201010907891, 4.07753744390572, 4.143134726391533, 3.4011973816621555, 4.04305126783455, 4.5217885770490405, 4.290459441148391, 3.8501476017100584, 3.4339872044851463, 1.6094379124341003],
"roots": [6.928203230275509, 7.681145747868608, 7.937253933193772, 5.477225575051661, 7.54983443527075, 9.591663046625438, 8.54400374531753, 6.855654600401044, 5.5677643628300215, 2.23606797749979],
"inverse": [0.020833333333333332, 0.01694915254237288, 0.015873015873015872, 0.03333333333333333, 0.017543859649122806, 0.010869565217391304, 0.0136986301369863, 0.02127659574468085, 0.03225806451612903, 0.2]
},
"counts": [
[5, 1],
[30, 1],
[31, 1],
[47, 1],
[48, 1],
[57, 1],
[59, 1],
[63, 1],
[73, 1],
[92, 1]
],
"sorted": [5, 30, 31, 47, 48, 57, 59, 63, 73, 92],
"ranked": {
"up": {
"5": {
"rank": 10,
"peers": 0
},
"30": {
"rank": 8,
"peers": 0
},
"31": {
"rank": 6,
"peers": 0
},
"47": {
"rank": 4,
"peers": 0
},
"48": {
"rank": 2,
"peers": 0
},
"57": {
"rank": 0,
"peers": 0
},
"59": {
"rank": -2,
"peers": 0
},
"63": {
"rank": -4,
"peers": 0
},
"73": {
"rank": -6,
"peers": 0
},
"92": {
"rank": -8,
"peers": 0
}
},
"down": {
"5": {
"rank": 1,
"peers": 0
},
"30": {
"rank": 3,
"peers": 0
},
"31": {
"rank": 5,
"peers": 0
},
"47": {
"rank": 7,
"peers": 0
},
"48": {
"rank": 9,
"peers": 0
},
"57": {
"rank": 11,
"peers": 0
},
"59": {
"rank": 13,
"peers": 0
},
"63": {
"rank": 15,
"peers": 0
},
"73": {
"rank": 17,
"peers": 0
},
"92": {
"rank": 19,
"peers": 0
}
},
"groups": {
"down": [5, 30, 31, 47, 48, 57, 59, 63, 73, 92],
"up": [92, 73, 63, 59, 57, 48, 47, 31, 30, 5]
}
},
"binned": {
"bins": 4,
"width": 26,
"binned": {
"0": {
"from": 0,
"to": 25,
"data": [5]
},
"1": {
"from": 26,
"to": 51,
"data": [30, 31, 47, 48]
},
"2": {
"from": 52,
"to": 77,
"data": [57, 59, 63, 73]
},
"3": {
"from": 78,
"to": 103,
"data": [92]
}
}
}
}You can also run operations singularly:
analysis.sorted()
> [5,30,31,47,48,57,59,63,73,92]
analysis.median()
> {"datum":52.5,"depth":5.5}
analysis.mode()
> []
analysis.fences()
> [4.5,100.5]
analysis.iqr()
> 32
analysis.hinges()
> [{"datum":31,"depth":3},{"datum":63,"depth":8}]
analysis.outer()
> [-43.5,148.5]
analysis.outside()
> []
analysis.inside()
> [5,30,31,47,48,57,59,63,73,92]
analysis.outliers()
> []
analysis.adjacent()
> [30,92]
analysis.ranked()
> {"up":{"5":{"rank":10,"peers":0},"30":{"rank":8,"peers":0},"31":{"rank":6,"peers":0},"47":{"rank":4,"peers":0},"48":{"rank":2,"peers":0},"57":{"rank":0,"peers":0},"59":{"rank":-2,"peers":0},"63":{"rank":-4,"peers":0},"73":{"rank":-6,"peers":0},"92":{"rank":-8,"peers":0}},"down":{"5":{"rank":1,"peers":0},"30":{"rank":3,"peers":0},"31":{"rank":5,"peers":0},"47":{"rank":7,"peers":0},"48":{"rank":9,"peers":0},"57":{"rank":11,"peers":0},"59":{"rank":13,"peers":0},"63":{"rank":15,"peers":0},"73":{"rank":17,"peers":0},"92":{"rank":19,"peers":0}},"groups":{"down":[5,30,31,47,48,57,59,63,73,92],"up":[92,73,63,59,57,48,47,31,30,5]}}
analysis.logs()
> [3.871201010907891,4.07753744390572,4.143134726391533,3.4011973816621555,4.04305126783455,4.5217885770490405,4.290459441148391,3.8501476017100584,3.4339872044851463,1.6094379124341003]
analysis.roots()
> [6.928203230275509,7.681145747868608,7.937253933193772,5.477225575051661,7.54983443527075,9.591663046625438,8.54400374531753,6.855654600401044,5.5677643628300215,2.23606797749979]
analysis.hanning()
> [48,61,46.5,43.5,74.5,82.5,60,39,18,5]
analysis.smooth()
> [48,30,57,57,57,47,31,5,5,5]
analysis.binned()