Stats

Defined in: js-api/src/dataframe/stats.ts:17

Represents basic descriptive statistics calculated for a Column. See samples: https://public.datagrok.ai/js/samples/data-frame/stats

Constructors

Constructor

new Stats(dart): Stats

Defined in: js-api/src/dataframe/stats.ts:20

Parameters

Parameter	Type
dart	any

Returns

Stats

Accessors

avg

Get Signature

get avg(): number

Defined in: js-api/src/dataframe/stats.ts:71

Returns

number

• average

---

kurt

Get Signature

get kurt(): number

Defined in: js-api/src/dataframe/stats.ts:91

Returns

number

• kurtosis

---

max

Get Signature

get max(): number

Defined in: js-api/src/dataframe/stats.ts:61

Returns

number

• maximum

---

med

Get Signature

get med(): number

Defined in: js-api/src/dataframe/stats.ts:96

Returns

number

• median value

---

min

Get Signature

get min(): number

Defined in: js-api/src/dataframe/stats.ts:56

Returns

number

• minimum

---

missingValueCount

Get Signature

get missingValueCount(): number

Defined in: js-api/src/dataframe/stats.ts:41

Number of missing (empty) values.

Returns

number

---

q1

Get Signature

get q1(): number

Defined in: js-api/src/dataframe/stats.ts:101

Returns

number

• first quartile

---

q2

Get Signature

get q2(): number

Defined in: js-api/src/dataframe/stats.ts:106

Returns

number

• second quartile

---

q3

Get Signature

get q3(): number

Defined in: js-api/src/dataframe/stats.ts:111

Returns

number

• third quartile

---

skew

Get Signature

get skew(): number

Defined in: js-api/src/dataframe/stats.ts:86

Returns

number

• skewness

---

stdev

Get Signature

get stdev(): number

Defined in: js-api/src/dataframe/stats.ts:76

Returns

number

• standard deviation

---

sum

Get Signature

get sum(): number

Defined in: js-api/src/dataframe/stats.ts:66

Returns

number

• sum

---

totalCount

Get Signature

get totalCount(): number

Defined in: js-api/src/dataframe/stats.ts:36

Total number of values (including missing values).

Returns

number

---

uniqueCount

Get Signature

get uniqueCount(): number

Defined in: js-api/src/dataframe/stats.ts:46

Number of unique values.

Returns

number

---

valueCount

Get Signature

get valueCount(): number

Defined in: js-api/src/dataframe/stats.ts:51

Number of non-empty values.

Returns

number

---

variance

Get Signature

get variance(): number

Defined in: js-api/src/dataframe/stats.ts:81

Returns

number

• variance

Methods

corr()

corr(otherColumn): number

Defined in: js-api/src/dataframe/stats.ts:116

Pearson correlation between this column and another column.

Parameters

Parameter	Type
otherColumn	Column

Returns

number

---

spearmanCorr()

spearmanCorr(otherColumn): number

Defined in: js-api/src/dataframe/stats.ts:119

Spearman correlation between this column and another column.

Parameters

Parameter	Type
otherColumn	Column

Returns

number

---

toString()

toString(): string

Defined in: js-api/src/dataframe/stats.ts:127

Returns

string

---

fromColumn()

static fromColumn(col, mask?): Stats

Defined in: js-api/src/dataframe/stats.ts:26

Calculates statistics for the specified column, optionally filtered by a mask.

Parameters

Parameter	Type	Default value	Description
col	Column	undefined	-
mask	BitSet | null	null	-

Returns

Stats

---

fromValues()

static fromValues(values): Stats

Defined in: js-api/src/dataframe/stats.ts:31

Calculates statistics for the array of values.

Parameters

Parameter	Type
values	number[] | Int8Array<ArrayBufferLike> | Int16Array<ArrayBufferLike> | Int32Array<ArrayBufferLike> | Float32Array<ArrayBufferLike> | Float64Array<ArrayBufferLike>

Returns

Stats

---

histogramsByCategories()

static histogramsByCategories(valueColumn, catColumn): Int32Array<ArrayBufferLike>[]

Defined in: js-api/src/dataframe/stats.ts:122

Returns distributions of [valueColumn] for each category in [catColumn].

Parameters

Parameter	Type
valueColumn	Column
catColumn	Column

Returns

Int32Array<ArrayBufferLike>[]