fintech-algorithms
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Frequency Tables and Relative Frequency

Install and import#

bash
npm install fintech-algorithms
ts
import { frequencyTablesAndRelativeFrequency } from "fintech-algorithms/financial-mathematics-statistics-and-data-foundations/location-ranking-and-exploratory-summaries/frequency-tables-and-relative-frequency";

Signature#

frequencyTablesAndRelativeFrequency(input)

Worked example#

verified This is the worked example published in the article, replayed by the test suite on every run. The output cannot drift.

Input#

input
{
  "values": [1, 2, 2, 4, 9],
  "weights": [1, 1, 2, 1, 1],
  "trimProportion": 0.2,
  "bins": 4
}

Call#

frequencyTablesAndRelativeFrequency(input)

Returns#

object with 2 fields: frequency, relativeFrequency

{
  "frequency": {
    "1": 1,
    "2": 2,
    "4": 1,
    "9": 1
  },
  "relativeFrequency": {
    "1": 0.2,
    "2": 0.4,
    "4": 0.2,
    "9": 0.2
  }
}

Diagrams#

Frequency Tables and Relative Frequency — article hero
Frequency Tables and Relative Frequency — calculation ledger
Frequency Tables and Relative Frequency — comparison map
Frequency Tables and Relative Frequency — concept anatomy
Frequency Tables and Relative Frequency — mistake contrast
Frequency Tables and Relative Frequency — scenario map

How it works#

This page states the contract — how to call it correctly. The article explains the concept: why it works, and where it breaks.

Read the article →

References#

  • Histogram
  • Historical-example decision

The rest of the Location, Ranking, and Exploratory Summaries family#