Book Image

Haskell Data Analysis cookbook

By : Nishant Shukla
Book Image

Haskell Data Analysis cookbook

By: Nishant Shukla

Overview of this book

Step-by-step recipes filled with practical code samples and engaging examples demonstrate Haskell in practice, and then the concepts behind the code. This book shows functional developers and analysts how to leverage their existing knowledge of Haskell specifically for high-quality data analysis. A good understanding of data sets and functional programming is assumed.
Table of Contents (14 chapters)
13
Index

Chapter 1. The Hunt for Data

In this chapter, we will cover the following recipes:

  • Harnessing data from various sources
  • Accumulating text data from a file path
  • Catching I/O code faults
  • Keeping and representing data from a CSV file
  • Examining a JSON file with the aeson package
  • Reading an XML file using the HXT package
  • Capturing table rows from an HTML page
  • Understanding how to perform HTTP GET requests
  • Learning how to perform HTTP POST requests
  • Traversing online directories for data
  • Using MongoDB queries in Haskell
  • Reading from a remote MongoDB server
  • Exploring data from a SQLite database