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sd.json
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{
"id": "sd",
"summary": "Standard deviation",
"description": "Computes the sample standard deviation, which quantifies the amount of variation of an array of numbers. It is defined to be the square root of the corresponding variance (see ``variance()``).\n\nA low standard deviation indicates that the values tend to be close to the expected value, while a high standard deviation indicates that the values are spread out over a wider range.\n\nAn array without non-`null` elements resolves always with `null`.",
"categories": [
"math > statistics",
"reducer"
],
"parameters": [
{
"name": "data",
"description": "An array of numbers.",
"schema": {
"type": "array",
"items": {
"type": [
"number",
"null"
]
}
}
},
{
"name": "ignore_nodata",
"description": "Indicates whether no-data values are ignored or not. Ignores them by default. Setting this flag to `false` considers no-data values so that `null` is returned if any value is such a value.",
"schema": {
"type": "boolean"
},
"default": true,
"optional": true
}
],
"returns": {
"description": "The computed sample standard deviation.",
"schema": {
"type": [
"number",
"null"
]
}
},
"examples": [
{
"arguments": {
"data": [
-1,
1,
3,
null
]
},
"returns": 2
},
{
"arguments": {
"data": [
-1,
1,
3,
null
],
"ignore_nodata": false
},
"returns": null
},
{
"description": "The input array is empty: return `null`.",
"arguments": {
"data": []
},
"returns": null
}
],
"links": [
{
"rel": "about",
"href": "http://mathworld.wolfram.com/StandardDeviation.html",
"title": "Standard deviation explained by Wolfram MathWorld"
}
],
"process_graph": {
"variance": {
"process_id": "variance",
"arguments": {
"data": {
"from_parameter": "data"
},
"ignore_nodata": {
"from_parameter": "ignore_nodata"
}
}
},
"power": {
"process_id": "power",
"arguments": {
"base": {
"from_node": "variance"
},
"p": 0.5
},
"result": true
}
}
}