Key Features
Book Description
What you will learn
- Read data from a variety of data formats
- Transform data to make it more useful and easier to analyze
- Process data concurrently and in parallel for faster performance
- Harness multiple computers to analyze big data
- Use powerful data analysis libraries such as Incanter, Hadoop, and Weka to get things done quickly
- Apply powerful clustering and data mining techniques to better understand your data
Who this book is for
This book is for those with a basic knowledge of Clojure, who are looking to push the language to excel with data analysis.
Table of Contents
- Importing Data for Analysis
- Cleaning and Validating Data
- Managing Complexity with Concurrent Programming
- Improving Performance with Parallel Programming
- Distributed Data Processing with Cascalog
- Working with Incanter Datasets
- Preparing for and Performing Statistical Data Analysis with Incanter
- Working with Mathematica and R
- Clustering, Classifying, and Working with Weka
- Working with Unstructured and Textual Data
- Graphing in Incanter
- Creating Charts for the Web
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