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Clojure for Data Science

You're reading from  Clojure for Data Science

Product type Book
Published in Sep 2015
Publisher
ISBN-13 9781784397180
Pages 608 pages
Edition 1st Edition
Languages
Author (1):
Henry Garner Henry Garner
Profile icon Henry Garner

Table of Contents (18) Chapters

Clojure for Data Science
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
1. Statistics 2. Inference 3. Correlation 4. Classification 5. Big Data 6. Clustering 7. Recommender Systems 8. Network Analysis 9. Time Series 10. Visualization Index

Inspecting the data


The first task when confronted with a new dataset is to study it to ensure that we understand what it contains.

The all-london-2012-athletes.xlsx file is small enough that it's been provided with the sample code for this chapter. We can inspect the data with Incanter, as we did in Chapter 1, Statistics using the incanter.excel/read-xls and incanter.core/view functions:

(ns cljds.ch3.examples
  (:require [incanter.charts :as c]
            [incanter.core :as i]
            [incanter.excel :as xls]
            [incanter.stats :as s]))

(defn athlete-data []
  (-> (io/resource "all-london-2012-athletes.xlsx")
      (str)
      (xls/read-xls)))

(defn ex-3-1 []
  (i/view (athlete-data)))

If you run this code (either in the REPL or on the command line with lein run –e 3.1), you should see the following output:

We're fortunate that the data is clearly labeled in the columns and contains the following information:

  • Name of the athlete

  • Country for which they are competing

  • Age in years...

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