Eric Rochester's Clojure Data Analysis Cookbook PDF

By Eric Rochester

ISBN-10: 178216264X

ISBN-13: 9781782162643

Utilizing Clojure for facts research and assortment, this publication will aid you achieve clean insights and views out of your facts with a necessary choice of sensible, established recipes.
«The Clojure facts research Cookbook» offers recipes for each degree of the information research strategy. no matter if scraping info off an internet web page, appearing info mining, or growing graphs for the net, this publication has whatever for the duty at hand.
Youll gather information, fresh it up, and rework it into important graphs which may then be analyzed and released to the net. insurance comprises complex issues like processing info simultaneously, using strong statistical thoughts like Bayesian modelling, or even information mining algorithms akin to K-means clustering, neural networks, and organization ideas.

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Extra resources for Clojure Data Analysis Cookbook

Sample text

Walk it to extract the data nodes; first-data (iterate next-data) (take-while #(not (nil? %))) (map children) ;; 3. Convert them into a sequence of maps; and (map #(mapcat data-map %)) (map #(apply array-map %)) ;; 4. Finally convert that into an Incanter dataset to-dataset))) 2. xml" down right) [:given-name :surname :relation] ["Gomez" "Addams" "father"] ["Morticia" "Addams" "mother"] ["Pugsley" "Addams" "brother"] … How it works… This recipe follows a typical pipeline for working with XML: 1.

String library available for our script or REPL. string :as string]) How to do it… 1. x) (\d{3}) # Area code. \D{0,2} # Separator. Probably one of \(, \), \-, \space. 42 Chapter 2 (\d{3}) \D? (\d{4}) ") # Prefix. # Separator. 2. Now, we'll define a function that uses that regular expression to pull apart a string containing a phone number and put it back together in the form (999)555-1212. If the string doesn't appear to be a phone number, it returns nil. This can be done using the following code snippet: (defn clean-us-phone [phone] (if-let [[_ area-code prefix post] (re-find phone-regex phone)] (str \( area-code \) prefix \- post))) 3.

Org/property/") (def col-map {(str (str (str (str (str (str (str rdfs 'label) dbpedia-prop dbpedia-prop dbpedia-prop dbpedia-prop dbpedia-prop dbpedia-prop :name, 'usingCountries) :country 'peggedWith) :pegged-with 'symbol) :symbol 'usedBanknotes) :used-banknotes 'usedCoins) :used-coins 'inflationRate) :inflation}) 9. S. 6725 dirhams" "United Arab Emirates" "14" "United Arab Emirates dirham" "9223372036854775807"] How it works… The only part of this recipe that has to do with SPARQL, really, is the function make-query.

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Clojure Data Analysis Cookbook by Eric Rochester

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