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)

Application of the KDE

This section will serve as our real-world application of the kernel density estimator. In this section, we're going to take a look at the Monet dataset. Monet was a famous French impressionist painter, and many of his paintings have sold at auction for millions of dollars. The Monet dataset is a record of all of those final auction prices for his paintings. We'll be discussing the parts of the kernel density estimator function, and then we will be answering the following question, using the kernel density estimator: what is the probability that, in the future, a Monet painting will sell for 5 million dollars or more? Let's do a Google search for Monet paintings, as illustrated by the following screenshot:

This is my excuse for putting beautiful Monet paintings in our book, and we're going to be discussing the auction prices of these...