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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

Personalizing messages using a text template

Sometimes we have a large list of usernames and relating data and we wish to individually send each person a message. This recipe will create a text template that will be filled out from the data.

Getting ready

Install the template library using cabal:

$ cabal install template

How to do it…

Perform the following steps in a new file called Main.hs:

  1. Import the libraries as follows:
    {-# LANGUAGE OverloadedStrings #-}
    
    
    
    import qualified Data.ByteString.Lazy as S
    import qualified Data.Text as T
    import qualified Data.Text.IO as TIO
    import qualified Data.Text.Lazy.Encoding as E
    import qualified Data.ByteString as BS
    import Data.Text.Lazy (toStrict)
    import Data.Text.Template
  2. Define the data we are dealing with as follows:
    myData = [ [ ("name", "Databender"), ("title", "Dr.") ],
               [ ("name", "Paragon"), ("title", "Master") ],
               [ ("name", &quot...
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