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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

Generating summary statistics with $rollup


One of the basic ways of getting a grip on a dataset is to look at some summary statistics: measures of centrality and variance, such as mean and standard deviation. These provide useful insights into our data, help us know what questions to ask next, and know how best to proceed.

Getting ready

First, we'll need to make sure Incanter is listed in the dependencies of our Leiningen project.clj file:

(defproject statim "0.1.0"
  :dependencies [[org.clojure/clojure "1.6.0"]
                 [incanter "1.5.5"]])

And we'll need to require these libraries in our script or REPL:

(require '[incanter.core :as i]
         'incanter.io
         '[incanter.stats :as s])

Finally, we'll use the dataset of census race data that we compiled for the Grouping data with $group-by recipe in Chapter 6, Working with Incanter Datasets. We'll bind the file name to the name data-file. You can download this from http://www.ericrochester.com/clj-data-analysis/data/all_160.P3.csv...

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