Clojure data analysis cookbook
In Detail Data is everywhere and it's increasingly important to be able to gain insights that we can act on. Using Clojure for data analysis and collection, this book will show you how to gain fresh insights and perspectives from your data with an essential collection of practical, structured recipes. "The Clojure Data Analysis Cookbook" presents recipes for every stage of the data analysis process. Whether scraping data off a web page, performing data mining, or creating graphs for the web, th…
Read More ↓Title Statements
- Full title :Clojure data analysis cookbook / Eric Rochester.
Summary
In Detail Data is everywhere and it's increasingly important to be able to gain insights that we can act on. Using Clojure for data analysis and collection, this book will show you how to gain fresh insights and perspectives from your data with an essential collection of practical, structured recipes. "The Clojure Data Analysis Cookbook" presents recipes for every stage of the data analysis process. Whether scraping data off a web page, performing data mining, or creating graphs for the web, this book has something for the task at hand. You'll learn how to acquire data, clean it up, and transform it into useful graphs which can then be analyzed and published to the Internet. Coverage includes advanced topics like processing data concurrently, applying powerful statistical techniques like Bayesian modelling, and even data mining algorithms such as K-means clustering, neural networks, and association rules. Approach Full of practical tips, the "Clojure Data Analysis Cookbook" will help you fully utilize your data through a series of step-by-step, real world recipes covering every aspect of data analysis. Who this book is for Prior experience with Clojure and data analysis techniques and workflows will be beneficial, but not essential.
Read More ↓Edition Statements
- Publication Date:2013.
Publication Statements
- Publisher(s):Packt Pub
- Place of Publication:Birmingham, UK
- Language:eng
- Publication Date:2013.
The Physical Object
- Description:1 online resource (1 volume) : : illustrations
Edition Identifiers
- ISBN:178216264X, 9781782162643, 9781782162650, 1782162658, 1680154168, 9781680154160, 1299440851, 9781299440852
- oclc:ocn852522514
- LC Classification:QA76.73.J38
- Dewey Decimal:005.133
Table of Contents
Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Importing Data for Analysis; Introduction; Creating a new project; Reading CSV data into Incanter datasets; Reading JSON data into Incanter datasets; Reading data from Excel with Incanter; Reading data from JDBC databases; Reading XML data into Incanter datasets; Scraping data from tables in web pages; Scraping textual data from web pages; Reading RDF data; Reading RDF data with SPARQL; Aggregating data from different formats; Chapter 2: Cleaning and Validating Data.
IntroductionCleaning data with regular expressions; Maintaining consistency with synonym maps; Identifying and removing duplicate data; Normalizing numbers; Rescaling values; Normalizing dates and times; Lazily processing very large data sets; Sampling from very large data sets; Fixing spelling errors; Parsing custom data formats; Validating data with Valip; Chapter 3: Managing Complexity with Concurrent Programming; Introduction; Managing program complexity with STM; Managing program complexity with agents; Getting better performance with commute; Combining agents and STM.
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Clojure Data Analysis Cookbook: Over 110 recipes …
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