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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

The exponential distribution


The exponential distribution occurs frequently when considering situations where there are many small positive quantities and much fewer larger quantities. Given what we have learned about the Richter scale, it won't be a surprise to learn that the magnitude of earthquakes follows an exponential distribution.

The distribution also frequently occurs in waiting times—the time until the next earthquake of any magnitude roughly follows an exponential distribution as well. The distribution is often used to model failure rates, which is essentially the waiting time until a machine breaks down. Our exponential distribution models a process similar to failure—the waiting time until a visitor gets bored and leaves our site.

The exponential distribution has a number of interesting properties. One relates to the mean and standard deviation:

(defn ex-2-4 []
  (let [dwell-times (->> (load-data "dwell-times.tsv")
                         (i/$ :dwell-time))]
    (println...
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