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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
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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

Visualizing a graph using Graphviz


One can easily draw an image that represents a graph using the graphviz library. In the world of data analysis, visually interpreting an image can reveal peculiarities about the data that the human eye can easily pick up. This recipe will let us construct a diagram out of the data we are dealing with. More visualization techniques are explained in Chapter 11, Visualizing Data.

Getting ready

Install the graphviz library from http://www.graphviz.org/Download.php as the Haskell package requires it.

Next, install the package from cabal by running the following command:

$ cabal install graphviz

How to do it...

In a new file, insert the following code. We will name our file Main.hs:

  1. Import the package:

    import Data.GraphViz
  2. Create the graph from nodes and edges:

    graph :: DotGraph Int
    
    graph = graphElemsToDot graphParams nodes edges
  3. Use the default parameters for creating the graph. This function can be modified to modify the graph's visual parameters:

    graphParams :: GraphvizParams...
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