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Getting Started with Haskell Data Analysis

You're reading from   Getting Started with Haskell Data Analysis Put your data analysis techniques to work and generate publication-ready visualizations

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789802863
Length 160 pages
Edition 1st Edition
Languages
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Author (1):
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James Church James Church
Author Profile Icon James Church
James Church
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Toc

Feature scaling

In our last section, we explored the essential features of EasyPlot towards getting our images publication-ready. In this section, we're going to explore how to plot multiple companies onto a single plot to accurately reflect their growth. So, the question we would like to answer in this section is: over the past year, which of these three companies—Apple, Google, or Microsoft—has had the highest percentage of growth in their stock value? In this section, we're going to take a look at trimming our dataset to 252 days. Why 252? Well, there are 365 days in the year. If you cut out the weekends and the United States federal holidays in which the New York Stock Exchange doesn't operate, you're left with 252 days. So, 252 is our magic number to represent one year of trading data. We're going to introduce feature scaling, and we...

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