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Python Data Analysis Cookbook
book

Python Data Analysis Cookbook

by Ivan Idris
July 2016
Beginner to intermediate
462 pages
9h 14m
English
Packt Publishing
Content preview from Python Data Analysis Cookbook

Transforming data with logarithms

When data varies by orders of magnitude, transforming the data with logarithms is an obvious strategy. In my experience, it is less common to do the opposite transformation using an exponential function. Usually when exploring, we visualize a log-log or semi-log scatter plot of paired variables.

To demonstrate this transformation, we will use the Worldbank data for infant mortality rate per 1000 livebirths and Gross Domestic Product (GDP) per capita for the available countries. If we apply the logarithm of base 10 to both variables, the slope of the line we get by fitting the data has a useful property. A one percent increase in one variable corresponds to a percentage change given by the slope of the other variable. ...

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Publisher Resources

ISBN: 9781785282287Supplemental Content