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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

Customizing the looks of a graph network diagram

To better present the data, we will cover how to customize the design of a graphical network diagram.

Getting ready

To use Graphviz, the graph visualization library, we must first install it on the machine. The official website of Graphviz contains the download and installation instructions available at http://www.graphviz.org. On Debian-based operating systems, Graphviz can be installed using apt-get as follows:

$ sudo apt-get install graphviz-dev graphviz

Next, we need to install the Graphviz Haskell bindings from Cabal as follows:

$ cabal install graphviz

How to do it…

  1. Import the relevant functions and libraries to customize a Graphviz graph as follows:
    import Data.Text.Lazy (Text, pack, unpack)
    import Data.Graph.Inductive (Gr, mkGraph)
    import Data.GraphViz (
      GraphvizParams(..),
      GlobalAttributes(
        GraphAttrs,
        NodeAttrs,
        EdgeAttrs
        ),
      X11Color(Blue, Orange, White),
      nonClusteredParams,
      globalAttributes,
      fmtNode...
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