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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

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783286331
Length 334 pages
Edition 1st Edition
Languages
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Author (1):
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Nishant Shukla Nishant Shukla
Author Profile Icon Nishant Shukla
Nishant Shukla
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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

Hashing a primitive data type


This recipe demonstrates how to use a simple hash function on various primitive data types.

Getting ready

Install the Data.Hashable package from Cabal as follows:

$ cabal install hashable

How to do it…

  1. Import the hashing function with the following line:

    import Data.Hashable
  2. Test the hash function on a string as follows; this function is actually a wrapper around the hashWithSalt function with a default salt value:

    main = do
      print $ hash "foo" 
  3. Test out the hashWithSalt functions using different initial salt values as follows:

      print $ hashWithSalt 1 "foo"
      print $ hashWithSalt 2 "foo"
  4. We can also hash tuples and lists as follows:

      print $ hash [ (1 :: Int, "hello", True)
                   , (0 :: Int, "goodbye", False) ]
  5. Notice in the following output how the first three hashes produce different results even though their input is the same:

    $ runhaskell Main.hs
    
    7207853227093559468
    367897294438771247
    687941543139326482
    6768682186886785615

How it works…

Hashing with a salt...

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