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Anscombes quartet

Anscombe's quartet consists of four datasets, each containing a series of [x, y] point pairs. Although they share almost identical simple statistical properties, their graphical representations differ dramatically. The datasets illustrate why graphical data exploration should precede statistical analysis and demonstrate the effect of outliers on statistical characteristics.

Updated 5/11/2023
github

Description

Dataset Overview

Dataset Name

Anscombe's Quartet

Dataset Description

Anscombe's quartet is a collection of four datasets that have nearly identical simple statistical properties but exhibit markedly different graphical behavior. Created by Francis Anscombe, the collection highlights the importance of graphical data exploration before statistical analysis and shows how outliers can affect statistical characteristics.

Dataset Structure

  • Contains 4 independent datasets.
  • Each dataset is an array of [x, y] tuples.

Dataset Example

[
    [
        [10,8.04],
        [8,6.95],
        ...
    ],
    [
        [10,9.14],
        [8,8.14],
        ...
    ],
    ...
]

Dataset Usage Example

var data = require( datasets-anscombes-quartet );

// Example code demonstrates how to convert the dataset into a matrix and compute mean and variance for each group.

Installation and Use

  • Installation command: npm install datasets-anscombes-quartet
  • Usage example: var data = require( datasets-anscombes-quartet );

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Topics

Data Visualization
Statistical Analysis

Source

Organization: github

Created: 7/29/2015

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