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Getting Started with Haskell Data Analysis

Getting Started with Haskell Data Analysis

By : Church
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Getting Started with Haskell Data Analysis

Getting Started with Haskell Data Analysis

By: 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)
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SQLite3 and regular expressions

Working with regular expressions in our SQLite3 database is no different than working with a CSV file. In this section, we will demonstrate how to filter our data using regular expressions, using the timestamp data from an SQLite3 database in a similar manner to our last section. So, we're going to be loading the data from the SQLite3 database, sifting through that data using a regular expression, and analyzing the data gleaned from that regular expression. Now, the problem that we will try to solve in this section is to determine how many earthquakes happen by hour in our 7-day database. Let's go and create a new Haskell notebook; we will name this notebook RegexLearning-SQLite3. Let's first import our libraries:

We won't be using any descriptive statistics in this section, so there's no need to load the descriptive statistics...

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