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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

Using SQLite to store data

SQLite is one of the most popular databases for compactly storing structured data. We will use the SQL binding for Haskell to store a list of strings.

Getting Ready

We must first install the SQLite3 database on our system. On Debian-based systems, we can issue the following installation command:

$ sudo apt-get install sqlite3

Install the SQLite package from cabal, as shown in the following command:

$ cabal install sqlite-simple

Create an initial database called test.db that sets up the schema. In this recipe, we will only be storing integers with strings as follows:

$ sqlite3 test.db "CREATE TABLE test (id INTEGER PRIMARY KEY, str text);"

How to do it…

  1. Import the relevant libraries, as shown in the following code:
    {-# LANGUAGE OverloadedStrings #-}
    import Control.Applicative
    import Database.SQLite.Simple
    import Database.SQLite.Simple.FromRow
  2. Create a FromRow typeclass implementation for TestField, the data type we will be storing, as shown in the following...
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