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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

Splitting a string on lines, words, or arbitrary tokens


Useful data is often interspersed between delimiters, such as commas or spaces, making string splitting vital for most data analysis tasks.

Getting ready

Create an input.txt file similar to the following one:

$ cat input.txt

first line
second line
words are split by space
comma,separated,values
or any delimiter you want

Install the split package using Cabal as follows:

$ cabal install split

How to do it...

  1. The only function we will need is splitOn, which is imported as follows:

    import Data.List.Split (splitOn)
  2. First we split the string into lines, as shown in the following code snippet:

    main = do 
      input <- readFile "input.txt"
      let ls = lines input
      print $ ls
  3. The lines are printed in a list as follows:

    [ "first line","second line"
    , "words are split by space"
    , "comma,separated,values"
    , "or any delimiter you want"]
    
  4. Next, we separate a string on spaces as follows:

      let ws = words $ ls !! 2
      print ws
  5. The words are printed in a list...

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