Book Image

Haskell Data Analysis Cookbook

By : Nishant Shukla
Book Image

Haskell Data Analysis Cookbook

By: Nishant Shukla

Overview of this book

Table of Contents (19 chapters)
Haskell Data Analysis Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 7. Statistics and Analysis

One core motivation to analyze big data is to find intrinsic patterns. This chapter contains recipes that answer questions about data deviation from the norm, existence of linear and quadratic trends, and probabilistic values of a network. Some of the most fascinating results can be uncovered by the following recipes:

  • Calculating a moving average

  • Calculating a moving median

  • Approximating a linear regression

  • Approximating a quadratic regression

  • Obtaining the covariance matrix from samples

  • Finding all unique pairings in a list

  • Using the Pearson correlation coefficient

  • Evaluating a Bayesian network

  • Creating a data structure for playing cards

  • Using a Markov chain to generate text

  • Creating n-grams from a list

  • Constructing a neural network perception