Book Image

Getting Started with Haskell Data Analysis

By : James Church
Book Image

Getting Started with Haskell Data Analysis

By: James Church

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.
Table of Contents (8 chapters)

Visualizations

In the previous chapter, we learned about regular expressions, and, in this chapter, we are going to talk all about visualizations. We will be covering the following topics:

  • Installing the gnuplot command-line tool and EasyPlot Haskell library
  • Plotting our first visualization
  • Customizing a visualization to make it publication ready
  • Adding multiple plots to a single visualization
  • Learning about the importance of the moving average
  • Learning about the importance of feature rescaling