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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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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

Serving data with Ring and Compojure

While we can precompile ClojureScript and load the generated JavaScript files as static assets, we'll often want to combine the dynamic charts with dynamic pages. For instance, we might want to provide a search form to filter the data that's graphed.

In this recipe, we'll get started with a typical Clojure web stack. Even if we don't use ClojureScript, this system is useful for creating web applications. We'll use Jetty (http://jetty.codehaus.org/jetty/) to serve the requests, Ring (https://github.com/ring-clojure/ring) to connect the server to the different parts of our web application, and Compojure (http://compojure.org) to define the routes and handlers.

Getting ready

We'll first need to include Jetty, Ring, and Compojure in our Leiningen project.clj file. We'll also want to use Ring as a development plugin for this project, so let's include it in the project.clj file under the :plugins key. The following is the...

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