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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

Parsing dates and times


One difficult issue when normalizing and cleaning up data is how to deal with time. People enter dates and times in a bewildering variety of formats; some of them are ambiguous, and some of them are vague. However, we have to do our best to interpret them and normalize them into a standard format.

In this recipe, we'll define a function that attempts to parse a date into a standard string format. We'll use the clj-time Clojure library, which is a wrapper around the Joda Java library (http://joda-time.sourceforge.net/).

Getting ready

First, we need to declare our dependencies in the Leiningen project.clj file:

(defproject cleaning-data "0.1.0-SNAPSHOT"
  :dependencies [[org.clojure/clojure "1.6.0"]
                 [clj-time "0.9.0-beta1"]])

Then, we need to load these dependencies into our script or REPL. We'll exclude second from clj-time to keep it from clashing with clojure.core/second:

(use '[clj-time.core :exclude (extend second)]
     '[clj-time.format])

How to do...

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