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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 2. Cleaning and Validating Data FREE CHAPTER 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

Introduction

In the previous chapter, we explored how to create graphs in order to publish in print or online by creating PNGs. Of course, the Internet can do a lot more than publish static images. Much of the power of the Internet lies in the fact that it's interactive. Adding rich data visualizations to the web's interactions makes a powerful environment in which you can explore and gain insights into the questions you're researching. In this chapter, we'll explore how to create a full web application using Clojure, including interactive graphs.

First, we'll set up a web application with Ring (https://github.com/ring-clojure/ring) and Compojure (http://compojure.org). Ring is an interface between web servers and web applications. Compojure is a small web framework that provides a convenient way to define and handle routes (the associations between URLs and functions to provide data for them).

Next, we'll see how to use Hiccup (https://github.com/weavejester...

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