By Eric Rochester

As info invades a growing number of of lifestyles and enterprise, the necessity to research it successfully hasn't ever been better. With Clojure and this booklet, youll quickly be attending to grips with each element of knowledge research. Youll commence with useful recipes that aid you load and fresh your info, then get concise directions to accomplish all of the crucial research initiatives from simple data to classy desktop studying and knowledge clustering algorithms. Get a extra intuitive deal with in your info via hands-on visualization concepts that let you offer fascinating, informative, and compelling stories, and use Clojure to submit your findings to the internet.

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Statistical Data Analysis with Incanter Introduction Generating summary statistics with $rollup Getting ready How to do it… How it works… Working with changes in values Getting ready How to do it… How it works… Scaling variables to simplify variable relationships Getting ready How to do it… How it works… Working with time series data with Incanter Zoo Getting ready How to do it… There's more... Smoothing variables to decrease variation Getting ready How to do it… How it works… Validating sample statistics with bootstrapping Getting ready How to do it… How it works… There's more… Modeling linear relationships Getting ready How to do it… How it works… Modeling non-linear relationships Getting ready How to do it… How it works...

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Com> with a link to the suspected pirated material. We appreciate your help in protecting our authors, and our ability to bring you valuable content. com> if you are having a problem with any aspect of the book, and we will do our best to address it.  Importing Data for Analysis In this chapter, we will cover the following recipes: Creating a new projectReading CSV data into Incanter datasetsReading JSON data into Incanter datasetsReading data from Excel with IncanterReading data from JDBC databasesReading XML data into Incanter datasetsScraping data from tables in web pagesScraping textual data from web pagesReading RDF dataQuerying RDF data with SPARQLAggregating data from different formats Introduction There's not much data analysis that can be done without data, so the first step in any project is to evaluate the data we have and the data that we need.

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Clojure Data Analysis Cookbook by Eric Rochester

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