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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

Creating HTML with Hiccup

In the last recipe, we set up a server and returned some data. However, most people want to view HTML, not JSON. In this recipe, we'll take a look at Hiccup (https://github.com/weavejester/hiccup). This is a library that allows you to build web pages from Clojure expressions and data structures. It takes vectors, maps, keywords, and strings—or functions that return these—and turns them into HTML. This is a good solution for generating HTML from within Clojure web applications.

This recipe will build on the Serving data with Ring and Compojure recipe. I'll point out where you need to change or add things from that recipe, highlighting them as necessary. By the end of this recipe, we'll be serving a simple index page along with the census dataset.

Getting ready

First, we'll use the same dependencies in our project.clj file as we did in the last recipe, plus one more. Here's the full list:

  :dependencies [[org.clojure/clojure &quot...
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