API documentation is here.

An easy to use library for working with core.matrix.dataset datasets in Clojure. Library includes the following functions:

• select (column selection)
• order (multi-field sorting)
• where (filtering)
• join (inner and left join datasets on arbitrary criteria)
• aggregate (group by aggregates)
• cross-tab (pivot-tables)
• order-columns (column ordering)
• capply, rapply (column and row apply)
• to-dataset (list of maps to dataset)
• from-dataset (dataset to list of maps).
• from-csv (dataset from csv file)
• reduce-dimensions (dimension reduction of a dataset).
• various aux. functions.

Please report issues and contribute if you can.

1. Add the library to your project file:

2. Either use or require the library in your code:

(require '[dataset-tools.core :as dt])

Every function other than from-dataset returns a dataset. The parameters of the functions are designed such that they are easy to thread together to elegantly compose complex processing tasks. Here is some example of common tasks.

(def test-data
  [{:a 1 :b 4 :c "X" :d "A"}
   {:a 41 :b 33 :c "Y" :d "A"}
   {:a 12 :b 19 :c "X" :d "B"}])

(def test-data2
  [{:a 1 :e 9 :x "X"}
   {:a 1 :e 9 :x "X2"}
   {:a 41 :e 99 :x "A"}
   {:a 13 :e 999 :x "X"}])

(->> test-data
     (dt/to-dataset [:a :b :c :d]))

(def test-dataset (dt/to-dataset [:a :b :c :d] test-data))

(->> test-dataset
     dt/from-dataset)

(dt/select :a test-dataset)

then only show columns a and b

(->> test-dataset
     (dt/where (comp #(= % "Y") :c))
     (dt/order :a)
     (dt/select [:a :b]))

(->> test-dataset
     (dt/aggregate [:c :d]
     		   {:sum (fn[v](reduce + 0 (map :c v)))
		    :mean (fn[v](/ (reduce + 0 (map :c v))) (count v))}))

(def test-dataset2 (dt/to-dataset [:a :e :x] test-data))

(dt/join :a
	 :a
	 test-dataset
	 test-dataset2)

(dt/cross-tab :c :d
	      #(if (nil? %) nil (reduce + 0 (map :b %)))
	      test-dataset)

Distributed under the Eclipse Public License either version 1.0 or (at your option) any later version.