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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You're reading from Getting Started with Haskell Data Analysis
James Church lives in Clarksville, Tennessee, United States, where he enjoys teaching, programming, and playing board games with his wife, Michelle. He is an assistant professor of computer science at Austin Peay State University. He has consulted for various companies and a chemical laboratory for the purpose of performing data analysis work. James is the author of Learning Haskell Data Analysis.
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James Church lives in Clarksville, Tennessee, United States, where he enjoys teaching, programming, and playing board games with his wife, Michelle. He is an assistant professor of computer science at Austin Peay State University. He has consulted for various companies and a chemical laboratory for the purpose of performing data analysis work. James is the author of Learning Haskell Data Analysis.
Read more about James Church