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:70

Returns

number

average

---

kurt

Get Signature

get kurt(): number

Defined in: js-api/src/dataframe/stats.ts:90

Returns

number

kurtosis

---

max

Get Signature

get max(): number

Defined in: js-api/src/dataframe/stats.ts:60

Returns

number

maximum

---

med

Get Signature

get med(): number

Defined in: js-api/src/dataframe/stats.ts:95

Returns

number

median value

---

min

Get Signature

get min(): number

Defined in: js-api/src/dataframe/stats.ts:55

Returns

number

minimum

---

missingValueCount

Get Signature

get missingValueCount(): number

Defined in: js-api/src/dataframe/stats.ts:40

Number of missing (empty) values.

Returns

number

---

q1

Get Signature

get q1(): number

Defined in: js-api/src/dataframe/stats.ts:100

Returns

number

first quartile

---

q2

Get Signature

get q2(): number

Defined in: js-api/src/dataframe/stats.ts:105

Returns

number

second quartile

---

q3

Get Signature

get q3(): number

Defined in: js-api/src/dataframe/stats.ts:110

Returns

number

third quartile

---

skew

Get Signature

get skew(): number

Defined in: js-api/src/dataframe/stats.ts:85

Returns

number

skewness

---

stdev

Get Signature

get stdev(): number

Defined in: js-api/src/dataframe/stats.ts:75

Returns

number

standard deviation

---

sum

Get Signature

get sum(): number

Defined in: js-api/src/dataframe/stats.ts:65

Returns

number

sum

---

totalCount

Get Signature

get totalCount(): number

Defined in: js-api/src/dataframe/stats.ts:35

Total number of values (including missing values).

Returns

number

---

uniqueCount

Get Signature

get uniqueCount(): number

Defined in: js-api/src/dataframe/stats.ts:45

Number of unique values.

Returns

number

---

valueCount

Get Signature

get valueCount(): number

Defined in: js-api/src/dataframe/stats.ts:50

Number of non-empty values.

Returns

number

---

variance

Get Signature

get variance(): number

Defined in: js-api/src/dataframe/stats.ts:80

Returns

number

variance

Methods

corr()

corr(otherColumn): number

Defined in: js-api/src/dataframe/stats.ts:115

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:118

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:126

Returns

string

---

fromColumn()

static fromColumn(col, mask?): Stats

Defined in: js-api/src/dataframe/stats.ts:25

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

Parameters

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

Returns

Stats

---

fromValues()

static fromValues(values): Stats

Defined in: js-api/src/dataframe/stats.ts:30

Calculates statistics for the array of values.

Parameters

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

Returns

Stats

---

histogramsByCategories()

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

Defined in: js-api/src/dataframe/stats.ts:121

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

Parameters

Parameter	Type
valueColumn	Column
catColumn	Column

Returns

Int32Array<ArrayBufferLike>[]