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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

Setting up to use ClojureScript

The only thing that's missing is JavaScript. We can also generate this with ClojureScript (https://github.com/clojure/clojurescript). This is an implementation of Clojure that compiles to JavaScript.

Why will we want to write JavaScript in Clojure? First, it simplifies your project when both the client and the server are written in the same language. It also allows you to share code between the two sides of your application, which can cut down the complexity of your code as well as the lines of code.

For the rest of this chapter, we'll be creating charts and graphs using ClojureScript. These recipes will show you how to install ClojureScript and get it working. We'll take the web application we started in the Serving data with Ring and Compojure and Creating HTML with Hiccup recipes and add an alert to the index page. This isn't anything more than a hello world application, but this will prove that ClojureScript is working in our application...

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