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Clojure Data Analysis Cookbook - Second Edition

You're reading from   Clojure Data Analysis Cookbook - Second Edition Dive into data analysis with Clojure through over 100 practical recipes for every stage of the analysis and collection process

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781784390297
Length 372 pages
Edition 2nd Edition
Languages
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Author (1):
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Eric Richard Rochester Eric Richard Rochester
Author Profile Icon Eric Richard Rochester
Eric Richard Rochester
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Toc

Table of Contents (14) Chapters Close

Preface 1. Importing Data for Analysis 2. Cleaning and Validating Data FREE CHAPTER 3. Managing Complexity with Concurrent Programming 4. Improving Performance with Parallel Programming 5. Distributed Data Processing with Cascalog 6. Working with Incanter Datasets 7. Statistical Data Analysis with Incanter 8. Working with Mathematica and R 9. Clustering, Classifying, and Working with Weka 10. Working with Unstructured and Textual Data 11. Graphing in Incanter 12. Creating Charts for the Web Index

Creating dynamic charts with Incanter

Charts are powerful tools to explore data, and dynamic charts—charts that react to user input—are even more useful.

In this recipe, we'll create a simple chart that graphs the quadratic equation and lets us play with the parameters and see the results in real time.

Getting ready

We'll use the same dependencies in our project.clj file as we did in Creating scatter plots with Incanter.

We'll use this set of imports in our script or REPL:

(require '[incanter.core :as i]
         '[incanter.charts :as c])

How to do it...

It seems like creating a dynamic chart would be difficult, but it's not. We just define a dynamic-xy-plot with the variables and relationships that we want, and Incanter will do the rest:

(def d-plot
  (let [x (range -1 1 0.1)]
    (c/dynamic-xy-plot
      [a (range -1.0 1.0 0.1)
       b (range -1.0 1.0 0.1)
       c (range -1.0 1.0 0.1)]
      [x (i/plus (i/mult a x x) (i/mult b x) c)])))
(i/view d...
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