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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

Conducting a topological sort on a graph


If a graph is directed, the topological sort is one of the natural orderings of the graph. In a network of dependencies, the topological sort will reveal a possible enumeration through all the vertices that satisfy such dependencies.

Haskell's built-in graph package comes with a very useful function, topSort, to conduct a topological sort over a graph. In this recipe, we will be creating a graph of dependencies and enumerating a topological sort through it.

Getting ready

We will be reading the data from the user input. Each pair of lines will represent a dependency.

Create a file input.txt with the following pairs of lines:

$ cat input.txt

understand Haskell
do Haskell data analysis
understand data analysis
do Haskell data analysis
do Haskell data analysis
find patterns in big data

This file describes a list of dependencies, which are as follows:

  • One must understand Haskell in order to do Haskell data analysis

  • One must understand data analysis to do Haskell...

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