In this chapter, we introduced the central limit theorem before we covered normal distribution. Normal distribution is a smooth, strongly peaked function where the area under the curve is 1. We discussed how the normal distribution works as an excellent kernel for the kernel density estimator. We performed the kernel density estimation on a small dataset and discussed how shape of the data looked. We then performed kernel density estimation for the Monet price dataset and found the probability of a painting going for 5 million dollars or more. Our next chapter is going to be a section review, where we accumulate all of the content that we've gone over in this book so far.
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