Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Haskell Data Analysis cookbook

You're reading from   Haskell Data Analysis cookbook Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

Arrow left icon
Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783286331
Length 334 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Nishant Shukla Nishant Shukla
Author Profile Icon Nishant Shukla
Nishant Shukla
Arrow right icon
View More author details
Toc

Table of Contents (14) Chapters Close

Preface 1. The Hunt for Data FREE CHAPTER 2. Integrity and Inspection 3. The Science of Words 4. Data Hashing 5. The Dance with Trees 6. Graph Fundamentals 7. Statistics and Analysis 8. Clustering and Classification 9. Parallel and Concurrent Design 10. Real-time Data 11. Visualizing Data 12. Exporting and Presenting Index

Creating a data structure for playing cards


Many probability and statistic problems are posed using playing cards. In this recipe, we will create a data structure and useful functions for the cards.

There are a total of 52 playing cards in a standard deck. Each card has one of the following four suits:

  • Spades

  • Hearts

  • Diamonds

  • Clubs

Also, each card has one out of 13 ranks as follows:

  • Integers between 2 and 10 inclusive

  • Jack

  • Queen

  • King

  • Ace

Getting ready

Install the probability library using cabal as follows:

$ cabal install probability

Review the sample code on the probability package about collections at http://hackage.haskell.org/package/probability-0.2.4/docs/src/Numeric-Probability-Example-Collection.html.

The recipe is based heavily on the probability example given in the link.

How to do it…

  1. Import the following packages:

    import qualified Numeric.Probability.Distribution as Dist
    import Numeric.Probability.Distribution ((??))
    import Control.Monad.Trans.State (StateT(StateT, runStateT), evalStateT)
    import...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime