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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

Defining a binary tree data type


In a binary tree, each node has at most two children. We will define a data structure to encompass the left and right subtrees of each node.

Getting ready

The code in the recipe will represent the following tree. The root node is labeled n3 with a value of 3. It has a left node n1 of value 1, and a right node n2 of value 2.

How to do it...

  1. This code requires no imports. We can jump in and define the data structure recursively. A tree can either be a node with values or null/empty:

    data Tree a = Node { value	:: a
                       , left  :: (Tree a)
                       , right:: (Tree a) }
                | Leaf 
                deriving Show
  2. In main, create the tree shown in the preceding diagram and print it out:

    main = do
      let n1 = Node { value = 1, left = Leaf, right = Leaf }
      let n2 = Node { value = 2, left = Leaf, right = Leaf }
      let n3 = Node { value = 3, left = n1,   right = n2 }
      print n3
  3. The full tree is printed out as follows:

    $ runhaskell Main.hs
    
    Node {...
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