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Clojure Data Analysis Cookbook - Second Edition

You're reading from   Clojure Data Analysis Cookbook - Second Edition Dive into data analysis with Clojure through over 100 practical recipes for every stage of the analysis and collection process

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781784390297
Length 372 pages
Edition 2nd Edition
Languages
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Author (1):
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Eric Richard Rochester Eric Richard Rochester
Author Profile Icon Eric Richard Rochester
Eric Richard Rochester
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Toc

Table of Contents (14) Chapters Close

Preface 1. Importing Data for Analysis FREE CHAPTER 2. Cleaning and Validating Data 3. Managing Complexity with Concurrent Programming 4. Improving Performance with Parallel Programming 5. Distributed Data Processing with Cascalog 6. Working with Incanter Datasets 7. Statistical Data Analysis with Incanter 8. Working with Mathematica and R 9. Clustering, Classifying, and Working with Weka 10. Working with Unstructured and Textual Data 11. Graphing in Incanter 12. Creating Charts for the Web Index

Maintaining consistency with ensure


When we use the STM, we are trying to coordinate and maintain consistency between several values, all of which keep changing. However, we'll sometimes want to maintain consistency with those references that won't change and therefore won't be included in the transaction. We can signal that the STM should include these other references in the transaction by using the ensure function.

This helps simplify the data processing system by ensuring that the data structures stay synchronized and consistent. The ensure function allows us to have more control over what gets managed by the STM.

For this recipe, we'll use a slightly contrived example. We'll process a set of text files and compute the frequency of a term as well as the total number of words. We'll do this concurrently, and we'll be able to watch the results get updated as we progress.

For the set of text files, we'll use the Brown corpus. Constructed in the 1960s, this was one of the first digital collections...

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