Haskell Data Analysis Cookbook: RAW

Book and eBook expected August 2014. Pre-order now!
Haskell Data Analysis Cookbook: RAW
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Table of Contents
Sample Chapters
  • A practical and concise guide to using Haskell when getting to grips with data analysis
  • Recipes for every stage of data analysis, from collection to visualization
  • In-depth examples demonstrating various tools, solutions and techniques

Book Details

Language : English
Paperback : 288 pages [ 235mm x 191mm ]
Release Date : August 2014
ISBN : 1783286334
ISBN 13 : 9781783286331
Author(s) : Nishant Shukla
Topics and Technologies : All Books, Big Data and Business Intelligence, Cookbooks, Open Source, RAW books

Chapter Availability


Chapter Number Title Availability
1 Obtaining Data
2 Cleaning Data IN THE BOOK
3 String Manipulations IN THE BOOK
4 Tree Data Structure IN THE BOOK
5 Graph Data Structure
APRIL 2014
6 Statistical Methods
APRIL 2014
7 Parallel Design APRIL 2014
8 Clustering APRIL 2014
9 Hashing data APRIL 2014
10 Real Time Data Analysis APRIL 2014
11 Visualizing Data APRIL 2014
12 Evoking external programs APRIL 2014

Nishant Shukla

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What you will learn from this book

  • Find and obtain a corpus of data from different formats and sources
  • Fix the common issues found when analyzing unstructured data
  • Construct search trees, from simple binary to the advanced
  • Graph and visualize the structure of your data
  • Compute frequencies and averages to pull results from incomplete data
  • Receive and map high-frequency data in real time
  • Explore using Haskell with Python, MATLAB, Excel and Mathamatica Graphing Library

In Detail

Designed by a committee of more than a dozen brilliant researchers, Haskell is one of the fastest growing languages in terms of both usage and popularity. A powerful functional programming language with a strong type system and parallelism support, Haskell is just the tool for harnessing the patterns behind the corpus of data.

The Haskell Data Analysis Cookbook provides recipes covering every stage of the data analysis process. Whether obtaining and cleaning data, performing real-time analysis, or finding the best forms of visualization the book provides focused and practical advice on using Haskell as the best tool for the job.

Topics covered include reading and accessing data from a variety of file formats, cleaning the data for analysis, constructing tree data structures, clustering, and graphing and visualizing the products of your analysis.


This book is currently available as a RAW (Read As we Write) book. A RAW book is an ebook, and this one is priced at 20% off the usual eBook price. Once you purchase the RAW book, you can immediately download the content of the book so far, and when new chapters become available, you will be notified, and  can download the new version of the book. When the book is published, you will receive the full, finished eBook.

If you like, you can preorder the print book at the same time as you purchase the RAW book at a significant discount.

Since a RAW book is an eBook, a RAW book is non returnable and non refundable.

Local taxes may apply to your eBook purchase.


Step-by-step recipes filled with practical code samples and engaging examples demonstrate Haskell in practice, and then the concepts behind the code.

Who this book is for

This book shows functional developers and analysts how to leverage their existing knowledge of Haskell specifically for high-quality data analysis. A good understanding of data sets and functional programming is assumed.

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