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Clojure for Data Science

You're reading from   Clojure for Data Science Statistics, big data, and machine learning for Clojure programmers

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781784397180
Length 608 pages
Edition 1st Edition
Languages
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Author (1):
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Henry Garner Henry Garner
Author Profile Icon Henry Garner
Henry Garner
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Toc

Table of Contents (12) Chapters Close

Preface 1. Statistics FREE CHAPTER 2. Inference 3. Correlation 4. Classification 5. Big Data 6. Clustering 7. Recommender Systems 8. Network Analysis 9. Time Series 10. Visualization Index

Visualizing different populations


Let's remove the filter for weekdays and plot the daily mean dwell time for both week days and weekends:

(defn ex-2-12 []
  (let [means (->> (load-data "dwell-times.tsv")
                   (with-parsed-date)
                   (mean-dwell-times-by-date)
                   (i/$ :dwell-time))]
    (-> (c/histogram means
                     :x-label "Daily mean dwell time unfiltered (s)"
                     :nbins 20)
        (i/view))))

The code generates the following histogram:

The distribution is no longer a normal distribution. In fact, the distribution is bimodal—there are two peaks. The second smaller peak, which corresponds to the newly added weekend data, is lower both because there are not as many weekend days as weekdays and because the distribution has a larger standard error.

Note

In general, distributions with more than one peak are referred to as multimodal. They can be an indicator that two or more normal distributions have been combined...

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