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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
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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

Finding all unique pairings in a list


Comparing all pairs of items is a common idiom in data analysis. This recipe will cover how to create a list of element pairs out of a list of elements. For example, if there is a list [1, 2, 3], we will create a list of every possible pair-ups [(1, 2), (1, 3), (2, 3)].

Notice that the order of pairing does not matter. We will create a list of unique tuple pairs so that we can compare each item to every other item in the list.

How it works…

Create a new file, which we call Main.hs, and insert the code explained in the following steps:

  1. Import the following packages:

    import Data.List (tails, nub, sort)
  2. Construct all unique pairs from a list of items as follows:

    pairs xs = [(x, y) | (x:ys) <- tails (nub xs), y <- ys]
  3. Print out all unique pairings of the following list:

    main = print $ pairs [1,2,3,3,4]
  4. The output will be as follows:

    [(1,2),(1,3),(1,4),(2,3),(2,4),(3,4)]
    

See also

We can apply the pairs algorithm to the Using the Pearson correlation coefficient...

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