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## You're reading fromPython for Secret Agents

Product type Book
Published in Aug 2014
Publisher
ISBN-13 9781783980420
Pages 216 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Steven F. Lott

Python for Secret Agents
Credits
www.PacktPub.com
Preface
1. Our Espionage Toolkit 2. Acquiring Intelligence Data 3. Encoding Secret Messages with Steganography 4. Drops, Hideouts, Meetups, and Lairs 5. A Spymaster's More Sensitive Analyses Index

## Comparisons and correlations

An important statistical question centers around correlation between variables. We often wonder if two sequences of values correlate with each other. If we have variables that correlate, perhaps we've found an interesting causal relationship. We might be able to use one variable to predict the values of another variable. We might also be able to prove that they're independent and have nothing to do with each other.

The essential statistical tool for this is the coefficient of correlation. We have several ways to compute this. One solution is to download NumPy or SciPy from the following links:

• http://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.pearsonr.html

• http://docs.scipy.org/doc/numpy/reference/generated/numpy.corrcoef.html

The correlation algorithms, however, aren't too complex. Implementing these two calculations will build up our basic data gathering espionage skills. We'll build some more basic statistical functions. Then, we'll build the...

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