What features are implemented?
- Histogram in the diagonal for each metrics
- Variance calculated for each metrics
- Spline chart added to each histogram
- Scatter Plot for each metric pairs
- Correlation calculated for each metric pairs
- Grouping option for a categorical dimension
- Metrics are sorted according to the correlation with other metrics
- Show only the n most correlating metrics
- Show only the upper triangle of the plot matrix
Usage of Scatter Plot Matix
If you do not have Leiningen install it.
cd ~/bin wget https://raw.github.com/technomancy/leiningen/stable/bin/lein chmod a+x lein
To see the Iris demo, do the following:
cd ${YOURWORKINGDIRECTORY}
git clone git://github.com/loganisarn/scatter-plot-matrix.git
cd scatter-plot-matrix
lein run
To generate and run a jar file:
lein uberjar java -jar target/spm-0.1.0-standalone.jar
Those who use Emacs:
emacs src/spm/core.clj M-x clojure-jack-in or M-x nrepl-jack-in
More details can be read in the project's github repository.
scatter-plot-matrix function options
(scatter-plot-matrix data & options) Options: :data data (default $data) the data set for the plot. :title s (default "Scatter Plot Matrix"). :bins n (default 10) number of bins (ie. bars) in histogram. :group-by grp (default nil) name of the column for grouping data. :only-first n (default 6) show only the first n most correlating columns of the data set. :only-triangle b (default false) shows only the upper triangle of the plot matrix. Examples: (view (scatter-plot-matrix (get-dataset :iris) :bins 20 :group-by :Species )) (with-data (get-dataset :iris) (view (scatter-plot-matrix :bins 20 :group-by :Species ))) (view (scatter-plot-matrix (get-dataset :chick-weight) :group-by :Diet :bins 20))
Detailed usage examples
Defining data source.;;;Input examples for iris ;; Input dataset examples: Incanter data repo, local file, remote file (url) (def iris (get-dataset :iris)) (def iris (read-dataset "data/iris.dat" :delim \space :header true)) ; relative to project home (def iris (read-dataset "https://raw.github.com/liebke/incanter/master/data/iris.dat" :delim \space :header true))Filtering for specific columns.
;; Filter dataset to specific columns only (def iris ($ [:Sepal.Length :Sepal.Width :Petal.Length :Petal.Width :Species] (get-dataset :iris))) (def iris (sel (get-dataset :iris) :cols [:Sepal.Length :Sepal.Width :Petal.Length :Petal.Width :Species] ))Defining a chart object with default options.
;;; Scatter plot matrix examples ;; Using default options (def iris-spm (scatter-plot-matrix iris :group-by :Species)) ;; filter to metrics only, no categorical dimension for grouping (def iris-spm (scatter-plot-matrix :data ($ [:Sepal.Length :Sepal.Width :Petal.Length :Petal.Width] iris)))Defining a chart object using more options.
(def iris-spm (scatter-plot-matrix iris
:title "Iris Scatter Plot Matrix"
:bins 20 ; number of histogram bars
:group-by :Species
:only-first 4 ; most correlating columns
:only-triangle false))
Viewing and saving scatter plot matrix chart
View on Display. Set chart width and height according to your needs.(view iris-spm :width 1280 :height 800)Save as PDF document using save-pdf Incanter function. (Click to see an example PDF output)
(save-pdf iris-spm "out/iris-spm.pdf" :width 2560 :height 1600)Save as PNG image using save Incanter function. (Click to see an example PNG output)
(save iris-spm "out/iris-spm.png" :width 2560 :height 1600)
We get some suggestions that a browser-client output would be a nice alternative to JFreeChart. D3 and C2 were suggested.
As you can see above, the airline shows that a scatter plot matrix function is useful for one metric pair and one categorical dimension.
Feedback is Welcome
Thank you for your comments and feedback. We hope you find our scatter plot matrix function implementation useful. Have a nice day using Clojure.
