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...
Getting Started with Haskell Data Analysis
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Getting Started with Haskell Data Analysis
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Overview of this book
Every business and organization that collects data is capable of tapping into its own data to gain insights how to improve. Haskell is a purely functional and lazy programming language, well-suited to handling large data analysis problems. This book will take you through the more difficult problems of data analysis in a hands-on manner.
This book will help you get up-to-speed with the basics of data analysis and approaches in the Haskell language. You'll learn about statistical computing, file formats (CSV and SQLite3), descriptive statistics, charts, and progress to more advanced concepts such as understanding the importance of normal distribution. While mathematics is a big part of data analysis, we've tried to keep this course simple and approachable so that you can apply what you learn to the real world.
By the end of this book, you will have a thorough understanding of data analysis, and the different ways of analyzing data. You will have a mastery of all the tools and techniques in Haskell for effective data analysis.
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Current Title:
Getting Started with Haskell Data Analysis
Table of Contents (8 chapters)
Preface
Free Chapter
Descriptive Statistics
SQLite3
Regular Expressions
Visualizations
Kernel Density Estimation
Course Review
Other Books You May Enjoy
Customer Reviews