Clojure Data Analysis Cookbook- Second Edition by Eric Rochester

By Eric Rochester

Dive into info research with Clojure via over a hundred useful recipes for each degree of the research and assortment process

About This Book

  • Take keep an eye on of your information, from assortment to classification
  • Troubleshoot and remedy facts research difficulties utilizing Clojure and numerous Java libraries
  • Get transparent, functional thoughts for each degree of information analysis

Who This ebook Is For

This publication is for people with a easy wisdom of Clojure, who're trying to push the language to excel with information analysis.

What you are going to Learn

  • Read information from numerous info formats
  • Transform facts to make it extra beneficial and more straightforward to analyze
  • Process info simultaneously and in parallel for speedier performance
  • Harness a number of pcs to research sizeable data
  • Use robust information research libraries similar to Incanter, Hadoop, and Weka to get issues performed quickly
  • Apply strong clustering and information mining ideas to raised comprehend your data

In Detail

As info invades a growing number of of existence and company, the necessity to learn it successfully hasn't ever been larger. With Clojure and this e-book, you will soon be attending to grips with each element of knowledge research. you are going to commence with sensible recipes that allow you to load and fresh your information, then get concise directions to accomplish the entire crucial research initiatives from simple data to stylish desktop studying and information clustering algorithms. Get a extra intuitive deal with in your facts via hands-on visualization strategies that let you offer fascinating, informative, and compelling studies, and use Clojure to submit your findings to the Web.

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Extra resources for Clojure Data Analysis Cookbook- Second Edition

Example text

For deeply nested function calls, this macro lets you read it from the left-hand side to the right-hand side, and this makes the process's data flow and series of transformations much more clear. We can do this in Clojure because of its macro system. ->> simply rewrites the calls into Clojure's native, nested format as the form is read. The first parameter of the macro is inserted into the next expression as the last parameter. This structure is inserted into the third expression as the last parameter, and so on, until the end of the form.

Excel) Find the Excel spreadsheet you want to work on. xls, as shown in the following screenshot. xls. xlsx). Reading data from JDBC databases Reading data from a relational database is only slightly more complicated than reading from Excel, and much of the extra complication involves connecting to the database. html) and makes working with databases much easier. org/), which stores the database in a single file. clj file. We will also need to include the database driver library. jdbc :as j]) Finally, get the database connection information.

Managing large inputs with sized queues How to do it… How it works... 4. Improving Performance with Parallel Programming Introduction Parallelizing processing with pmap How to do it… How it works… There's more… See also Parallelizing processing with Incanter Getting ready How to do it… How it works… Partitioning Monte Carlo simulations for better pmap performance Getting ready How to do it… How it works… Estimating with Monte Carlo simulations Chunking data for pmap Finding the optimal partition size with simulated annealing Getting ready How to do it… How it works… There's more… Combining function calls with reducers Getting ready How to do it… What happened here?

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